From 2243004868246c94e822907b73781e3904690333 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sun, 6 Jul 2025 14:20:47 +0100
Subject: [PATCH 01/31] add new data set

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/data/PISA18sampleScale.csv | 101 ++++++++++++++++++++++++++++
 causalpy/data/datasets.py           |   1 +
 2 files changed, 102 insertions(+)
 create mode 100644 causalpy/data/PISA18sampleScale.csv

diff --git a/causalpy/data/PISA18sampleScale.csv b/causalpy/data/PISA18sampleScale.csv
new file mode 100644
index 00000000..864fc622
--- /dev/null
+++ b/causalpy/data/PISA18sampleScale.csv
@@ -0,0 +1,101 @@
+PV1READ,Female,ESCS,METASUM,PERFEED,JOYREAD,MASTGOAL,ADAPTIVITY,TEACHINT,SCREADDIFF,SCREADCOMP
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diff --git a/causalpy/data/datasets.py b/causalpy/data/datasets.py
index a1504d06..1c891c75 100644
--- a/causalpy/data/datasets.py
+++ b/causalpy/data/datasets.py
@@ -37,6 +37,7 @@
     "risk": {"filename": "AJR2001.csv"},
     "nhefs": {"filename": "nhefs.csv"},
     "schoolReturns": {"filename": "schoolingReturns.csv"},
+    "pisa18": {"filename": "PISA18sampleScale.csv"},
 }
 
 

From b4ee4f16439defd8de7c6a2cecf9f872fadcf89d Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sun, 6 Jul 2025 21:23:46 +0100
Subject: [PATCH 02/31] adding latent prop_score notebook

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 1369 +++++++++++++++++++
 1 file changed, 1369 insertions(+)
 create mode 100644 docs/source/notebooks/inv_prop_latent.ipynb

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
new file mode 100644
index 00000000..c6267eea
--- /dev/null
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -0,0 +1,1369 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import arviz as az\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import pymc as pm\n",
+    "\n",
+    "import causalpy as cp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>x1</th>\n",
+       "      <th>x2</th>\n",
+       "      <th>trt</th>\n",
+       "      <th>outcome</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.231342</td>\n",
+       "      <td>-0.895340</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.524464</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.870168</td>\n",
+       "      <td>1.922164</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9.622715</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.962788</td>\n",
+       "      <td>1.296195</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6.070648</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-2.094107</td>\n",
+       "      <td>-0.034306</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.490810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.253904</td>\n",
+       "      <td>-0.364892</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.806564</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         x1        x2  trt   outcome\n",
+       "0 -0.231342 -0.895340    0  3.524464\n",
+       "1  1.870168  1.922164    1  9.622715\n",
+       "2  0.962788  1.296195    0  6.070648\n",
+       "3 -2.094107 -0.034306    0  3.490810\n",
+       "4 -0.253904 -0.364892    0  4.806564"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "N = 1000\n",
+    "\n",
+    "\n",
+    "def inv_logit(x):\n",
+    "    return 1 / (1 + np.exp(-x))\n",
+    "\n",
+    "\n",
+    "df1 = pd.DataFrame(\n",
+    "    np.random.multivariate_normal([0.5, 1], [[2, 1], [1, 1]], size=N),\n",
+    "    columns=[\"x1\", \"x2\"],\n",
+    ")\n",
+    "df1[\"trt\"] = np.where(\n",
+    "    -0.5 + 0.25 * df1[\"x1\"] + 0.75 * df1[\"x2\"] + np.random.normal(0, 1, size=N) > 0,\n",
+    "    1,\n",
+    "    0,\n",
+    ")\n",
+    "TREATMENT_EFFECT = 2\n",
+    "df1[\"outcome\"] = (\n",
+    "    4\n",
+    "    + TREATMENT_EFFECT * df1[\"trt\"]\n",
+    "    + df1[\"x1\"]\n",
+    "    + df1[\"x2\"]\n",
+    "    + np.random.normal(0, 1, size=N)\n",
+    ")\n",
+    "df1.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.602"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df1[\"trt\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": [
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+       "<!-- X&#45;&gt;p -->\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
+       "<title>X&#45;&gt;p</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M52.38,-392.85C58.66,-377.91 68.32,-360.25 82,-348.63 111.57,-323.52 153.11,-309.53 186.58,-301.86\"/>\n",
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+       "<g id=\"node2\" class=\"node\">\n",
+       "<title>X_outcome</title>\n",
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+       "<g id=\"node3\" class=\"node\">\n",
+       "<title>T</title>\n",
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+       "<title>Y</title>\n",
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+       "<title>like&#45;&gt;Y</title>\n",
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+       "<title>p&#45;&gt;t_pred</title>\n",
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+       "<title>alpha_trt</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"457\" cy=\"-421.79\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"457\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
+       "<text text-anchor=\"middle\" x=\"457\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"457\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_trt&#45;&gt;p -->\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
+       "<title>alpha_trt&#45;&gt;p</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M439.29,-384.22C431.01,-370.93 419.88,-357.1 406,-348.63 384.16,-335.32 373.58,-347.73 349,-340.63 332.22,-335.79 314.67,-328.78 298.79,-321.61\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"300.54,-318.56 290,-317.54 297.6,-324.92 300.54,-318.56\"/>\n",
+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node13\" class=\"node\">\n",
+       "<title>alpha_outcome</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"724\" cy=\"-421.79\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"724\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"724\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"724\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
+       "<title>alpha_outcome&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M692.3,-385.28C678.65,-371.97 661.76,-357.85 644,-348.63 582.45,-316.7 502.86,-302.96 451.38,-297.14\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"452.02,-293.69 441.7,-296.11 451.28,-300.65 452.02,-293.69\"/>\n",
+       "</g>\n",
+       "</g>\n",
+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<graphviz.graphs.Digraph at 0x306ed1f60>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "coords = {\n",
+    "    \"betas\": [\"trt\", \"x1\", \"x2\"],\n",
+    "    \"betas_trt\": [\"x1\", \"x2\"],\n",
+    "    \"obs\": range(df1.shape[0]),\n",
+    "}\n",
+    "\n",
+    "N = df1.shape[0]\n",
+    "X_trt = df1[[\"x1\", \"x2\"]].values\n",
+    "X_outcome = df1[[\"trt\", \"x1\", \"x2\"]].values\n",
+    "T_data = df1[\"trt\"].values\n",
+    "Y_data = df1[\"outcome\"].values\n",
+    "\n",
+    "\n",
+    "def make_model(X_trt, X_outcome, T_data, Y_data, coords):\n",
+    "    with pm.Model(coords=coords) as model:\n",
+    "        X_data_trt = pm.Data(\"X\", X_trt)\n",
+    "        X_data_outcome = pm.Data(\"X_outcome\", X_outcome)\n",
+    "        T_data_ = pm.Data(\"T\", T_data)\n",
+    "        Y_data_ = pm.Data(\"Y\", Y_data)\n",
+    "\n",
+    "        beta_trt = pm.Normal(\"beta_trt_\", 0, 1, dims=\"betas_trt\")\n",
+    "        beta = pm.Normal(\"beta_\", 0, 1, dims=\"betas\")\n",
+    "\n",
+    "        alpha_trt = pm.Normal(\"alpha_trt\", 0, 1)\n",
+    "        mu_trt = alpha_trt + pm.math.dot(X_data_trt, beta_trt)\n",
+    "        p = pm.Deterministic(\"p\", pm.math.invlogit(mu_trt))\n",
+    "\n",
+    "        pm.Bernoulli(\"t_pred\", p=p, observed=T_data_)\n",
+    "\n",
+    "        alpha_outcome = pm.Normal(\"alpha_outcome\", 0, 1)\n",
+    "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta)\n",
+    "        sigma = pm.Exponential(\"sigma\", 1)\n",
+    "\n",
+    "        p_inv = pm.math.where(T_data, 1 / p, 1 / (1 - p))\n",
+    "\n",
+    "        _ = pm.Deterministic(\"weighted_outcome\", p_inv * Y_data)\n",
+    "        _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
+    "\n",
+    "    return model\n",
+    "\n",
+    "\n",
+    "model = make_model(X_trt, X_outcome, T_data, Y_data, coords)\n",
+    "\n",
+    "pm.model_to_graphviz(model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [alpha_outcome, alpha_trt, beta_, beta_trt_, like, sigma, t_pred]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fb94d67a82af429ebf432885c906d2bf",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1e859510c34a40d6b5a5c178054b4900",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "cba3fa488c0645ff99b416e247251b7b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "11248e8d463a4772821c40fbcb11aec6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with model:\n",
+    "    idata = pm.sample_prior_predictive()\n",
+    "    idata.extend(pm.sample(tune=2000, target_accept=0.95, nuts_sampler=\"numpyro\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-0.937</td>\n",
+       "      <td>0.129</td>\n",
+       "      <td>-1.184</td>\n",
+       "      <td>-0.706</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2954.0</td>\n",
+       "      <td>2773.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[x1]</th>\n",
+       "      <td>0.445</td>\n",
+       "      <td>0.083</td>\n",
+       "      <td>0.294</td>\n",
+       "      <td>0.596</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3048.0</td>\n",
+       "      <td>2863.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[x2]</th>\n",
+       "      <td>1.347</td>\n",
+       "      <td>0.133</td>\n",
+       "      <td>1.106</td>\n",
+       "      <td>1.601</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2713.0</td>\n",
+       "      <td>2664.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>4.039</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>3.931</td>\n",
+       "      <td>4.152</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2738.0</td>\n",
+       "      <td>2766.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>1.883</td>\n",
+       "      <td>0.080</td>\n",
+       "      <td>1.736</td>\n",
+       "      <td>2.033</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3224.0</td>\n",
+       "      <td>3113.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x1]</th>\n",
+       "      <td>1.044</td>\n",
+       "      <td>0.033</td>\n",
+       "      <td>0.984</td>\n",
+       "      <td>1.108</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>2712.0</td>\n",
+       "      <td>2825.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x2]</th>\n",
+       "      <td>0.996</td>\n",
+       "      <td>0.052</td>\n",
+       "      <td>0.891</td>\n",
+       "      <td>1.089</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2615.0</td>\n",
+       "      <td>2413.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "alpha_trt     -0.937  0.129  -1.184   -0.706      0.002    0.002    2954.0   \n",
+       "beta_trt_[x1]  0.445  0.083   0.294    0.596      0.002    0.001    3048.0   \n",
+       "beta_trt_[x2]  1.347  0.133   1.106    1.601      0.003    0.002    2713.0   \n",
+       "alpha_outcome  4.039  0.058   3.931    4.152      0.001    0.001    2738.0   \n",
+       "beta_[trt]     1.883  0.080   1.736    2.033      0.001    0.001    3224.0   \n",
+       "beta_[x1]      1.044  0.033   0.984    1.108      0.001    0.000    2712.0   \n",
+       "beta_[x2]      0.996  0.052   0.891    1.089      0.001    0.001    2615.0   \n",
+       "\n",
+       "               ess_tail  r_hat  \n",
+       "alpha_trt        2773.0    1.0  \n",
+       "beta_trt_[x1]    2863.0    1.0  \n",
+       "beta_trt_[x2]    2664.0    1.0  \n",
+       "alpha_outcome    2766.0    1.0  \n",
+       "beta_[trt]       3113.0    1.0  \n",
+       "beta_[x1]        2825.0    1.0  \n",
+       "beta_[x2]        2413.0    1.0  "
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>age</th>\n",
+       "      <th>race</th>\n",
+       "      <th>trt</th>\n",
+       "      <th>smokeintensity</th>\n",
+       "      <th>smokeyrs</th>\n",
+       "      <th>outcome</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>42</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>29</td>\n",
+       "      <td>-10.093960</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>36</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>24</td>\n",
+       "      <td>2.604970</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>56</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>26</td>\n",
+       "      <td>9.414486</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>68</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>53</td>\n",
+       "      <td>4.990117</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>40</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4.989251</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   age  race  trt  smokeintensity  smokeyrs    outcome\n",
+       "0   42     1    0              30        29 -10.093960\n",
+       "1   36     0    0              20        24   2.604970\n",
+       "2   56     1    0              20        26   9.414486\n",
+       "3   68     1    0               3        53   4.990117\n",
+       "4   40     0    0              20        19   4.989251"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = cp.load_data(\"nhefs\")\n",
+    "df[[\"age\", \"race\", \"trt\", \"smokeintensity\", \"smokeyrs\", \"outcome\"]].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/latex": [
+       "$$\n",
+       "            \\begin{array}{rcl}\n",
+       "            \\text{beta\\_trt\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_trt} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_outcome} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{sigma} &\\sim & \\operatorname{Exponential}(f())\\\\\\text{p} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{weighted\\_outcome} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{t\\_pred} &\\sim & \\operatorname{Bernoulli}(\\text{p})\\\\\\text{like} &\\sim & \\operatorname{Normal}(f(\\text{alpha\\_outcome},~\\text{beta\\_}),~\\text{sigma})\n",
+       "            \\end{array}\n",
+       "            $$"
+      ],
+      "text/plain": [
+       "       beta_trt_ ~ Normal(0, 1)\n",
+       "           beta_ ~ Normal(0, 1)\n",
+       "       alpha_trt ~ Normal(0, 1)\n",
+       "   alpha_outcome ~ Normal(0, 1)\n",
+       "           sigma ~ Exponential(f())\n",
+       "               p ~ Deterministic(f(beta_trt_, alpha_trt))\n",
+       "weighted_outcome ~ Deterministic(f(beta_trt_, alpha_trt))\n",
+       "          t_pred ~ Bernoulli(p)\n",
+       "            like ~ Normal(f(alpha_outcome, beta_), sigma)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "coords = {\n",
+    "    \"betas\": [\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"],\n",
+    "    \"betas_trt\": [\n",
+    "        \"age\",\n",
+    "        \"smokeintensity\",\n",
+    "        \"smokeyrs\",\n",
+    "        \"wt71\",\n",
+    "    ],\n",
+    "    \"obs\": range(df.shape[0]),\n",
+    "}\n",
+    "\n",
+    "N = df.shape[0]\n",
+    "X_trt = df[[\"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"]]\n",
+    "X_trt = X_trt - X_trt.mean()\n",
+    "X_outcome = df[[\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"]]\n",
+    "X_outcome = X_outcome - X_outcome.mean()\n",
+    "T_data = df[\"trt\"].values\n",
+    "X_outcome[\"trt\"] = T_data\n",
+    "Y_data = df[\"outcome\"].values\n",
+    "\n",
+    "new_model = make_model(X_trt, X_outcome, T_data, Y_data, coords)\n",
+    "new_model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": [
+       "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
+       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
+       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
+       "<!-- Generated by graphviz version 12.0.0 (0)\n",
+       " -->\n",
+       "<!-- Pages: 1 -->\n",
+       "<svg width=\"802pt\" height=\"486pt\"\n",
+       " viewBox=\"0.00 0.00 802.18 486.45\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
+       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 482.45)\">\n",
+       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-482.45 798.18,-482.45 798.18,4 -4,4\"/>\n",
+       "<g id=\"clust1\" class=\"cluster\">\n",
+       "<title>cluster1566 x 4</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M20,-360.54C20,-360.54 66,-360.54 66,-360.54 72,-360.54 78,-366.54 78,-372.54 78,-372.54 78,-446.54 78,-446.54 78,-452.54 72,-458.54 66,-458.54 66,-458.54 20,-458.54 20,-458.54 14,-458.54 8,-452.54 8,-446.54 8,-446.54 8,-372.54 8,-372.54 8,-366.54 14,-360.54 20,-360.54\"/>\n",
+       "<text text-anchor=\"middle\" x=\"46\" y=\"-367.74\" font-family=\"Times,serif\" font-size=\"14.00\">1566 x 4</text>\n",
+       "</g>\n",
+       "<g id=\"clust2\" class=\"cluster\">\n",
+       "<title>cluster1566 x 5</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M98,-360.54C98,-360.54 170,-360.54 170,-360.54 176,-360.54 182,-366.54 182,-372.54 182,-372.54 182,-446.54 182,-446.54 182,-452.54 176,-458.54 170,-458.54 170,-458.54 98,-458.54 98,-458.54 92,-458.54 86,-452.54 86,-446.54 86,-446.54 86,-372.54 86,-372.54 86,-366.54 92,-360.54 98,-360.54\"/>\n",
+       "<text text-anchor=\"middle\" x=\"150\" y=\"-367.74\" font-family=\"Times,serif\" font-size=\"14.00\">1566 x 5</text>\n",
+       "</g>\n",
+       "<g id=\"clust3\" class=\"cluster\">\n",
+       "<title>cluster1566</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M140,-8C140,-8 436,-8 436,-8 442,-8 448,-14 448,-20 448,-20 448,-328.63 448,-328.63 448,-334.63 442,-340.63 436,-340.63 436,-340.63 140,-340.63 140,-340.63 134,-340.63 128,-334.63 128,-328.63 128,-328.63 128,-20 128,-20 128,-14 134,-8 140,-8\"/>\n",
+       "<text text-anchor=\"middle\" x=\"426.5\" y=\"-15.2\" font-family=\"Times,serif\" font-size=\"14.00\">1566</text>\n",
+       "</g>\n",
+       "<g id=\"clust4\" class=\"cluster\">\n",
+       "<title>clusterbetas_trt (4)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M202,-348.63C202,-348.63 284,-348.63 284,-348.63 290,-348.63 296,-354.63 296,-360.63 296,-360.63 296,-458.45 296,-458.45 296,-464.45 290,-470.45 284,-470.45 284,-470.45 202,-470.45 202,-470.45 196,-470.45 190,-464.45 190,-458.45 190,-458.45 190,-360.63 190,-360.63 190,-354.63 196,-348.63 202,-348.63\"/>\n",
+       "<text text-anchor=\"middle\" x=\"255\" y=\"-355.83\" font-family=\"Times,serif\" font-size=\"14.00\">betas_trt (4)</text>\n",
+       "</g>\n",
+       "<g id=\"clust5\" class=\"cluster\">\n",
+       "<title>clusterbetas (5)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M316,-348.63C316,-348.63 390,-348.63 390,-348.63 396,-348.63 402,-354.63 402,-360.63 402,-360.63 402,-458.45 402,-458.45 402,-464.45 396,-470.45 390,-470.45 390,-470.45 316,-470.45 316,-470.45 310,-470.45 304,-464.45 304,-458.45 304,-458.45 304,-360.63 304,-360.63 304,-354.63 310,-348.63 316,-348.63\"/>\n",
+       "<text text-anchor=\"middle\" x=\"370.38\" y=\"-355.83\" font-family=\"Times,serif\" font-size=\"14.00\">betas (5)</text>\n",
+       "</g>\n",
+       "<!-- X -->\n",
+       "<g id=\"node1\" class=\"node\">\n",
+       "<title>X</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M58,-450.54C58,-450.54 28,-450.54 28,-450.54 22,-450.54 16,-444.54 16,-438.54 16,-438.54 16,-405.04 16,-405.04 16,-399.04 22,-393.04 28,-393.04 28,-393.04 58,-393.04 58,-393.04 64,-393.04 70,-399.04 70,-405.04 70,-405.04 70,-438.54 70,-438.54 70,-444.54 64,-450.54 58,-450.54\"/>\n",
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+       "<text text-anchor=\"middle\" x=\"43\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"43\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- p -->\n",
+       "<g id=\"node7\" class=\"node\">\n",
+       "<title>p</title>\n",
+       "<polygon fill=\"none\" stroke=\"black\" points=\"288.12,-320.73 197.88,-320.73 197.88,-263.23 288.12,-263.23 288.12,-320.73\"/>\n",
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+       "<text text-anchor=\"middle\" x=\"243\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"243\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "</g>\n",
+       "<!-- X&#45;&gt;p -->\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
+       "<title>X&#45;&gt;p</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M52.38,-392.85C58.66,-377.91 68.32,-360.25 82,-348.63 111.57,-323.52 153.11,-309.53 186.58,-301.86\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"187.08,-305.33 196.12,-299.81 185.61,-298.49 187.08,-305.33\"/>\n",
+       "</g>\n",
+       "<!-- X_outcome -->\n",
+       "<g id=\"node2\" class=\"node\">\n",
+       "<title>X_outcome</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M161.88,-450.54C161.88,-450.54 106.12,-450.54 106.12,-450.54 100.12,-450.54 94.12,-444.54 94.12,-438.54 94.12,-438.54 94.12,-405.04 94.12,-405.04 94.12,-399.04 100.12,-393.04 106.12,-393.04 106.12,-393.04 161.88,-393.04 161.88,-393.04 167.88,-393.04 173.88,-399.04 173.88,-405.04 173.88,-405.04 173.88,-438.54 173.88,-438.54 173.88,-444.54 167.88,-450.54 161.88,-450.54\"/>\n",
+       "<text text-anchor=\"middle\" x=\"134\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">X_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"134\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"134\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- like -->\n",
+       "<g id=\"node5\" class=\"node\">\n",
+       "<title>like</title>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"399\" cy=\"-291.98\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"399\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
+       "<text text-anchor=\"middle\" x=\"399\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"399\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- X_outcome&#45;&gt;like -->\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
+       "<title>X_outcome&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M146.65,-392.67C155.34,-376.87 168.47,-358.42 186,-348.63 207.59,-336.58 273.07,-346.86 297,-340.63 316.45,-335.57 336.73,-326.89 354.04,-318.31\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"355.19,-321.65 362.51,-313.99 352.01,-315.42 355.19,-321.65\"/>\n",
+       "</g>\n",
+       "<!-- T -->\n",
+       "<g id=\"node3\" class=\"node\">\n",
+       "<title>T</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M336,-98C336,-98 306,-98 306,-98 300,-98 294,-92 294,-86 294,-86 294,-52.5 294,-52.5 294,-46.5 300,-40.5 306,-40.5 306,-40.5 336,-40.5 336,-40.5 342,-40.5 348,-46.5 348,-52.5 348,-52.5 348,-86 348,-86 348,-92 342,-98 336,-98\"/>\n",
+       "<text text-anchor=\"middle\" x=\"321\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">T</text>\n",
+       "<text text-anchor=\"middle\" x=\"321\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"321\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- t_pred -->\n",
+       "<g id=\"node4\" class=\"node\">\n",
+       "<title>t_pred</title>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"321\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"321\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
+       "<text text-anchor=\"middle\" x=\"321\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"321\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
+       "</g>\n",
+       "<!-- t_pred&#45;&gt;T -->\n",
+       "<g id=\"edge1\" class=\"edge\">\n",
+       "<title>t_pred&#45;&gt;T</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M321,-133.68C321,-125.83 321,-117.6 321,-109.76\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"324.5,-109.79 321,-99.79 317.5,-109.79 324.5,-109.79\"/>\n",
+       "</g>\n",
+       "<!-- Y -->\n",
+       "<g id=\"node8\" class=\"node\">\n",
+       "<title>Y</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M428,-203.41C428,-203.41 398,-203.41 398,-203.41 392,-203.41 386,-197.41 386,-191.41 386,-191.41 386,-157.91 386,-157.91 386,-151.91 392,-145.91 398,-145.91 398,-145.91 428,-145.91 428,-145.91 434,-145.91 440,-151.91 440,-157.91 440,-157.91 440,-191.41 440,-191.41 440,-197.41 434,-203.41 428,-203.41\"/>\n",
+       "<text text-anchor=\"middle\" x=\"413\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
+       "<text text-anchor=\"middle\" x=\"413\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"413\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- like&#45;&gt;Y -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>like&#45;&gt;Y</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M403.82,-251.29C405.24,-239.56 406.8,-226.73 408.22,-215.03\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"411.67,-215.63 409.4,-205.28 404.72,-214.78 411.67,-215.63\"/>\n",
+       "</g>\n",
+       "<!-- weighted_outcome -->\n",
+       "<g id=\"node6\" class=\"node\">\n",
+       "<title>weighted_outcome</title>\n",
+       "<polygon fill=\"none\" stroke=\"black\" points=\"255.75,-203.41 136.25,-203.41 136.25,-145.91 255.75,-145.91 255.75,-203.41\"/>\n",
+       "<text text-anchor=\"middle\" x=\"196\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">weighted_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"196\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"196\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "</g>\n",
+       "<!-- p&#45;&gt;t_pred -->\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
+       "<title>p&#45;&gt;t_pred</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M262.08,-262.77C270.89,-249.75 281.54,-233.99 291.36,-219.48\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"294.11,-221.66 296.81,-211.42 288.31,-217.74 294.11,-221.66\"/>\n",
+       "</g>\n",
+       "<!-- p&#45;&gt;weighted_outcome -->\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
+       "<title>p&#45;&gt;weighted_outcome</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M231.5,-262.77C225.54,-248.14 218.17,-230.05 211.69,-214.16\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"214.97,-212.92 207.95,-204.98 208.48,-215.56 214.97,-212.92\"/>\n",
+       "</g>\n",
+       "<!-- beta_trt_ -->\n",
+       "<g id=\"node9\" class=\"node\">\n",
+       "<title>beta_trt_</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"243\" cy=\"-421.79\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"243\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_trt_</text>\n",
+       "<text text-anchor=\"middle\" x=\"243\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"243\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_trt_&#45;&gt;p -->\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
+       "<title>beta_trt_&#45;&gt;p</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M243,-380.7C243,-365.3 243,-347.74 243,-332.4\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"246.5,-332.69 243,-322.69 239.5,-332.69 246.5,-332.69\"/>\n",
+       "</g>\n",
+       "<!-- beta_ -->\n",
+       "<g id=\"node10\" class=\"node\">\n",
+       "<title>beta_</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"353\" cy=\"-421.79\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"353\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_</text>\n",
+       "<text text-anchor=\"middle\" x=\"353\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"353\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_&#45;&gt;like -->\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
+       "<title>beta_&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M366.55,-383.14C371.24,-370.12 376.55,-355.35 381.51,-341.58\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"384.78,-342.83 384.87,-332.23 378.19,-340.45 384.78,-342.83\"/>\n",
+       "</g>\n",
+       "<!-- sigma -->\n",
+       "<g id=\"node11\" class=\"node\">\n",
+       "<title>sigma</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"578\" cy=\"-421.79\" rx=\"57.45\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"578\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text text-anchor=\"middle\" x=\"578\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"578\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Exponential</text>\n",
+       "</g>\n",
+       "<!-- sigma&#45;&gt;like -->\n",
+       "<g id=\"edge10\" class=\"edge\">\n",
+       "<title>sigma&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M550.25,-385.94C538.97,-373.18 525.24,-359.28 511,-348.63 491.75,-334.24 468.2,-321.89 447.68,-312.51\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"449.2,-309.35 438.64,-308.49 446.35,-315.75 449.2,-309.35\"/>\n",
+       "</g>\n",
+       "<!-- alpha_trt -->\n",
+       "<g id=\"node12\" class=\"node\">\n",
+       "<title>alpha_trt</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"457\" cy=\"-421.79\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"457\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
+       "<text text-anchor=\"middle\" x=\"457\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"457\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_trt&#45;&gt;p -->\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
+       "<title>alpha_trt&#45;&gt;p</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M439.29,-384.22C431.01,-370.93 419.88,-357.1 406,-348.63 384.16,-335.32 373.58,-347.73 349,-340.63 332.22,-335.79 314.67,-328.78 298.79,-321.61\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"300.54,-318.56 290,-317.54 297.6,-324.92 300.54,-318.56\"/>\n",
+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node13\" class=\"node\">\n",
+       "<title>alpha_outcome</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"724\" cy=\"-421.79\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"724\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"724\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"724\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
+       "<title>alpha_outcome&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M692.3,-385.28C678.65,-371.97 661.76,-357.85 644,-348.63 582.45,-316.7 502.86,-302.96 451.38,-297.14\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"452.02,-293.69 441.7,-296.11 451.28,-300.65 452.02,-293.69\"/>\n",
+       "</g>\n",
+       "</g>\n",
+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<graphviz.graphs.Digraph at 0x307112230>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pm.model_to_graphviz(new_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [alpha_outcome, alpha_trt, beta_, beta_trt_, like, sigma, t_pred]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "8db0e71c8cd040de972e0f9dface5a11",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/4000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ac29b5aa21b143d68764173b9389636d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/4000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "254b45e8bf4b4ce5b347dddfc89a895e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/4000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "afd46a14b6a847ffbd2835771dff4970",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/4000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with new_model:\n",
+    "    idata = pm.sample_prior_predictive()\n",
+    "    idata.extend(pm.sample(tune=3000, target_accept=0.99, nuts_sampler=\"numpyro\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-1.098</td>\n",
+       "      <td>0.060</td>\n",
+       "      <td>-1.210</td>\n",
+       "      <td>-0.986</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>6071.0</td>\n",
+       "      <td>3167.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[age]</th>\n",
+       "      <td>0.041</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>3210.0</td>\n",
+       "      <td>3069.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[smokeintensity]</th>\n",
+       "      <td>-0.018</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>-0.028</td>\n",
+       "      <td>-0.008</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>5548.0</td>\n",
+       "      <td>2777.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[smokeyrs]</th>\n",
+       "      <td>-0.021</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>-0.038</td>\n",
+       "      <td>-0.004</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>3271.0</td>\n",
+       "      <td>3144.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[wt71]</th>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>5397.0</td>\n",
+       "      <td>2656.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>1.817</td>\n",
+       "      <td>0.214</td>\n",
+       "      <td>1.427</td>\n",
+       "      <td>2.224</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3916.0</td>\n",
+       "      <td>2925.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>2.938</td>\n",
+       "      <td>0.399</td>\n",
+       "      <td>2.180</td>\n",
+       "      <td>3.672</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3981.0</td>\n",
+       "      <td>3207.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>-0.223</td>\n",
+       "      <td>0.032</td>\n",
+       "      <td>-0.285</td>\n",
+       "      <td>-0.164</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>2984.0</td>\n",
+       "      <td>2341.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[smokeintensity]</th>\n",
+       "      <td>0.027</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>-0.005</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>4993.0</td>\n",
+       "      <td>3029.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[smokeyrs]</th>\n",
+       "      <td>0.074</td>\n",
+       "      <td>0.032</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.136</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>3079.0</td>\n",
+       "      <td>2698.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[wt71]</th>\n",
+       "      <td>-0.082</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>-0.105</td>\n",
+       "      <td>-0.059</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>5337.0</td>\n",
+       "      <td>2649.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                            mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
+       "alpha_trt                 -1.098  0.060  -1.210   -0.986      0.001    0.001   \n",
+       "beta_trt_[age]             0.041  0.009   0.024    0.058      0.000    0.000   \n",
+       "beta_trt_[smokeintensity] -0.018  0.005  -0.028   -0.008      0.000    0.000   \n",
+       "beta_trt_[smokeyrs]       -0.021  0.009  -0.038   -0.004      0.000    0.000   \n",
+       "beta_trt_[wt71]            0.011  0.004   0.003    0.018      0.000    0.000   \n",
+       "alpha_outcome              1.817  0.214   1.427    2.224      0.003    0.002   \n",
+       "beta_[trt]                 2.938  0.399   2.180    3.672      0.006    0.004   \n",
+       "beta_[age]                -0.223  0.032  -0.285   -0.164      0.001    0.000   \n",
+       "beta_[smokeintensity]      0.027  0.017  -0.005    0.058      0.000    0.000   \n",
+       "beta_[smokeyrs]            0.074  0.032   0.016    0.136      0.001    0.000   \n",
+       "beta_[wt71]               -0.082  0.012  -0.105   -0.059      0.000    0.000   \n",
+       "\n",
+       "                           ess_bulk  ess_tail  r_hat  \n",
+       "alpha_trt                    6071.0    3167.0    1.0  \n",
+       "beta_trt_[age]               3210.0    3069.0    1.0  \n",
+       "beta_trt_[smokeintensity]    5548.0    2777.0    1.0  \n",
+       "beta_trt_[smokeyrs]          3271.0    3144.0    1.0  \n",
+       "beta_trt_[wt71]              5397.0    2656.0    1.0  \n",
+       "alpha_outcome                3916.0    2925.0    1.0  \n",
+       "beta_[trt]                   3981.0    3207.0    1.0  \n",
+       "beta_[age]                   2984.0    2341.0    1.0  \n",
+       "beta_[smokeintensity]        4993.0    3029.0    1.0  \n",
+       "beta_[smokeyrs]              3079.0    2698.0    1.0  \n",
+       "beta_[wt71]                  5337.0    2649.0    1.0  "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x800 with 8 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_trace(idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\"]);"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "bayesian_causal_book",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.15"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 96098cb87f79c71560a2ab14a1c437af6c3967f0 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Mon, 7 Jul 2025 07:58:27 +0100
Subject: [PATCH 03/31] using ps in outcome model

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 930 +++++++++++---------
 1 file changed, 503 insertions(+), 427 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index c6267eea..670a67ef 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -49,53 +49,53 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>-0.231342</td>\n",
-       "      <td>-0.895340</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3.524464</td>\n",
+       "      <td>0.893543</td>\n",
+       "      <td>1.890928</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.845291</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1.870168</td>\n",
-       "      <td>1.922164</td>\n",
+       "      <td>0.809249</td>\n",
+       "      <td>0.986342</td>\n",
        "      <td>1</td>\n",
-       "      <td>9.622715</td>\n",
+       "      <td>6.867281</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0.962788</td>\n",
-       "      <td>1.296195</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6.070648</td>\n",
+       "      <td>1.129722</td>\n",
+       "      <td>1.242561</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10.064628</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-2.094107</td>\n",
-       "      <td>-0.034306</td>\n",
+       "      <td>-0.652340</td>\n",
+       "      <td>-1.245170</td>\n",
        "      <td>0</td>\n",
-       "      <td>3.490810</td>\n",
+       "      <td>1.964228</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>-0.253904</td>\n",
-       "      <td>-0.364892</td>\n",
+       "      <td>-1.645314</td>\n",
+       "      <td>-0.586475</td>\n",
        "      <td>0</td>\n",
-       "      <td>4.806564</td>\n",
+       "      <td>1.009993</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "         x1        x2  trt   outcome\n",
-       "0 -0.231342 -0.895340    0  3.524464\n",
-       "1  1.870168  1.922164    1  9.622715\n",
-       "2  0.962788  1.296195    0  6.070648\n",
-       "3 -2.094107 -0.034306    0  3.490810\n",
-       "4 -0.253904 -0.364892    0  4.806564"
+       "         x1        x2  trt    outcome\n",
+       "0  0.893543  1.890928    1   7.845291\n",
+       "1  0.809249  0.986342    1   6.867281\n",
+       "2  1.129722  1.242561    1  10.064628\n",
+       "3 -0.652340 -1.245170    0   1.964228\n",
+       "4 -1.645314 -0.586475    0   1.009993"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -130,16 +130,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.602"
+       "0.604"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -150,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -162,213 +162,233 @@
        "<!-- Generated by graphviz version 12.0.0 (0)\n",
        " -->\n",
        "<!-- Pages: 1 -->\n",
-       "<svg width=\"802pt\" height=\"486pt\"\n",
-       " viewBox=\"0.00 0.00 802.18 486.45\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
-       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 482.45)\">\n",
-       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-482.45 798.18,-482.45 798.18,4 -4,4\"/>\n",
+       "<svg width=\"957pt\" height=\"491pt\"\n",
+       " viewBox=\"0.00 0.00 957.01 490.95\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
+       "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 486.95)\">\n",
+       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-486.95 953.01,-486.95 953.01,4 -4,4\"/>\n",
        "<g id=\"clust1\" class=\"cluster\">\n",
        "<title>cluster1000 x 2</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M20,-360.54C20,-360.54 66,-360.54 66,-360.54 72,-360.54 78,-366.54 78,-372.54 78,-372.54 78,-446.54 78,-446.54 78,-452.54 72,-458.54 66,-458.54 66,-458.54 20,-458.54 20,-458.54 14,-458.54 8,-452.54 8,-446.54 8,-446.54 8,-372.54 8,-372.54 8,-366.54 14,-360.54 20,-360.54\"/>\n",
-       "<text text-anchor=\"middle\" x=\"46\" y=\"-367.74\" font-family=\"Times,serif\" font-size=\"14.00\">1000 x 2</text>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M69,-365.04C69,-365.04 115,-365.04 115,-365.04 121,-365.04 127,-371.04 127,-377.04 127,-377.04 127,-451.04 127,-451.04 127,-457.04 121,-463.04 115,-463.04 115,-463.04 69,-463.04 69,-463.04 63,-463.04 57,-457.04 57,-451.04 57,-451.04 57,-377.04 57,-377.04 57,-371.04 63,-365.04 69,-365.04\"/>\n",
+       "<text text-anchor=\"middle\" x=\"95\" y=\"-372.24\" font-family=\"Times,serif\" font-size=\"14.00\">1000 x 2</text>\n",
        "</g>\n",
        "<g id=\"clust2\" class=\"cluster\">\n",
        "<title>cluster1000 x 3</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M98,-360.54C98,-360.54 170,-360.54 170,-360.54 176,-360.54 182,-366.54 182,-372.54 182,-372.54 182,-446.54 182,-446.54 182,-452.54 176,-458.54 170,-458.54 170,-458.54 98,-458.54 98,-458.54 92,-458.54 86,-452.54 86,-446.54 86,-446.54 86,-372.54 86,-372.54 86,-366.54 92,-360.54 98,-360.54\"/>\n",
-       "<text text-anchor=\"middle\" x=\"150\" y=\"-367.74\" font-family=\"Times,serif\" font-size=\"14.00\">1000 x 3</text>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M376,-235.23C376,-235.23 448,-235.23 448,-235.23 454,-235.23 460,-241.23 460,-247.23 460,-247.23 460,-321.23 460,-321.23 460,-327.23 454,-333.23 448,-333.23 448,-333.23 376,-333.23 376,-333.23 370,-333.23 364,-327.23 364,-321.23 364,-321.23 364,-247.23 364,-247.23 364,-241.23 370,-235.23 376,-235.23\"/>\n",
+       "<text text-anchor=\"middle\" x=\"428\" y=\"-242.43\" font-family=\"Times,serif\" font-size=\"14.00\">1000 x 3</text>\n",
        "</g>\n",
        "<g id=\"clust3\" class=\"cluster\">\n",
        "<title>cluster1000</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M140,-8C140,-8 436,-8 436,-8 442,-8 448,-14 448,-20 448,-20 448,-328.63 448,-328.63 448,-334.63 442,-340.63 436,-340.63 436,-340.63 140,-340.63 140,-340.63 134,-340.63 128,-334.63 128,-328.63 128,-328.63 128,-20 128,-20 128,-14 134,-8 140,-8\"/>\n",
-       "<text text-anchor=\"middle\" x=\"426.5\" y=\"-15.2\" font-family=\"Times,serif\" font-size=\"14.00\">1000</text>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M20,-8C20,-8 344,-8 344,-8 350,-8 356,-14 356,-20 356,-20 356,-321.23 356,-321.23 356,-327.23 350,-333.23 344,-333.23 344,-333.23 20,-333.23 20,-333.23 14,-333.23 8,-327.23 8,-321.23 8,-321.23 8,-20 8,-20 8,-14 14,-8 20,-8\"/>\n",
+       "<text text-anchor=\"middle\" x=\"334.5\" y=\"-15.2\" font-family=\"Times,serif\" font-size=\"14.00\">1000</text>\n",
        "</g>\n",
        "<g id=\"clust4\" class=\"cluster\">\n",
        "<title>clusterbetas_trt (2)</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M202,-348.63C202,-348.63 284,-348.63 284,-348.63 290,-348.63 296,-354.63 296,-360.63 296,-360.63 296,-458.45 296,-458.45 296,-464.45 290,-470.45 284,-470.45 284,-470.45 202,-470.45 202,-470.45 196,-470.45 190,-464.45 190,-458.45 190,-458.45 190,-360.63 190,-360.63 190,-354.63 196,-348.63 202,-348.63\"/>\n",
-       "<text text-anchor=\"middle\" x=\"255\" y=\"-355.83\" font-family=\"Times,serif\" font-size=\"14.00\">betas_trt (2)</text>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M147,-353.13C147,-353.13 229,-353.13 229,-353.13 235,-353.13 241,-359.13 241,-365.13 241,-365.13 241,-462.95 241,-462.95 241,-468.95 235,-474.95 229,-474.95 229,-474.95 147,-474.95 147,-474.95 141,-474.95 135,-468.95 135,-462.95 135,-462.95 135,-365.13 135,-365.13 135,-359.13 141,-353.13 147,-353.13\"/>\n",
+       "<text text-anchor=\"middle\" x=\"200\" y=\"-360.33\" font-family=\"Times,serif\" font-size=\"14.00\">betas_trt (2)</text>\n",
        "</g>\n",
        "<g id=\"clust5\" class=\"cluster\">\n",
        "<title>clusterbetas (3)</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M316,-348.63C316,-348.63 390,-348.63 390,-348.63 396,-348.63 402,-354.63 402,-360.63 402,-360.63 402,-458.45 402,-458.45 402,-464.45 396,-470.45 390,-470.45 390,-470.45 316,-470.45 316,-470.45 310,-470.45 304,-464.45 304,-458.45 304,-458.45 304,-360.63 304,-360.63 304,-354.63 310,-348.63 316,-348.63\"/>\n",
-       "<text text-anchor=\"middle\" x=\"370.38\" y=\"-355.83\" font-family=\"Times,serif\" font-size=\"14.00\">betas (3)</text>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M480,-223.32C480,-223.32 554,-223.32 554,-223.32 560,-223.32 566,-229.32 566,-235.32 566,-235.32 566,-333.13 566,-333.13 566,-339.13 560,-345.13 554,-345.13 554,-345.13 480,-345.13 480,-345.13 474,-345.13 468,-339.13 468,-333.13 468,-333.13 468,-235.32 468,-235.32 468,-229.32 474,-223.32 480,-223.32\"/>\n",
+       "<text text-anchor=\"middle\" x=\"534.38\" y=\"-230.52\" font-family=\"Times,serif\" font-size=\"14.00\">betas (3)</text>\n",
        "</g>\n",
        "<!-- X -->\n",
        "<g id=\"node1\" class=\"node\">\n",
        "<title>X</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M58,-450.54C58,-450.54 28,-450.54 28,-450.54 22,-450.54 16,-444.54 16,-438.54 16,-438.54 16,-405.04 16,-405.04 16,-399.04 22,-393.04 28,-393.04 28,-393.04 58,-393.04 58,-393.04 64,-393.04 70,-399.04 70,-405.04 70,-405.04 70,-438.54 70,-438.54 70,-444.54 64,-450.54 58,-450.54\"/>\n",
-       "<text text-anchor=\"middle\" x=\"43\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">X</text>\n",
-       "<text text-anchor=\"middle\" x=\"43\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"43\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M107,-455.04C107,-455.04 77,-455.04 77,-455.04 71,-455.04 65,-449.04 65,-443.04 65,-443.04 65,-409.54 65,-409.54 65,-403.54 71,-397.54 77,-397.54 77,-397.54 107,-397.54 107,-397.54 113,-397.54 119,-403.54 119,-409.54 119,-409.54 119,-443.04 119,-443.04 119,-449.04 113,-455.04 107,-455.04\"/>\n",
+       "<text text-anchor=\"middle\" x=\"92\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">X</text>\n",
+       "<text text-anchor=\"middle\" x=\"92\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"92\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
+       "<g id=\"node5\" class=\"node\">\n",
        "<title>p</title>\n",
-       "<polygon fill=\"none\" stroke=\"black\" points=\"288.12,-320.73 197.88,-320.73 197.88,-263.23 288.12,-263.23 288.12,-320.73\"/>\n",
-       "<text text-anchor=\"middle\" x=\"243\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">p</text>\n",
-       "<text text-anchor=\"middle\" x=\"243\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"243\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "<polygon fill=\"none\" stroke=\"black\" points=\"233.12,-325.23 142.88,-325.23 142.88,-267.73 233.12,-267.73 233.12,-325.23\"/>\n",
+       "<text text-anchor=\"middle\" x=\"188\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">p</text>\n",
+       "<text text-anchor=\"middle\" x=\"188\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"188\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M52.38,-392.85C58.66,-377.91 68.32,-360.25 82,-348.63 111.57,-323.52 153.11,-309.53 186.58,-301.86\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"187.08,-305.33 196.12,-299.81 185.61,-298.49 187.08,-305.33\"/>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M104.61,-397.39C111.49,-383.48 120.71,-366.78 131,-353.13 135.98,-346.53 141.75,-339.97 147.66,-333.8\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"150.12,-336.3 154.68,-326.73 145.15,-331.36 150.12,-336.3\"/>\n",
        "</g>\n",
        "<!-- X_outcome -->\n",
        "<g id=\"node2\" class=\"node\">\n",
        "<title>X_outcome</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M161.88,-450.54C161.88,-450.54 106.12,-450.54 106.12,-450.54 100.12,-450.54 94.12,-444.54 94.12,-438.54 94.12,-438.54 94.12,-405.04 94.12,-405.04 94.12,-399.04 100.12,-393.04 106.12,-393.04 106.12,-393.04 161.88,-393.04 161.88,-393.04 167.88,-393.04 173.88,-399.04 173.88,-405.04 173.88,-405.04 173.88,-438.54 173.88,-438.54 173.88,-444.54 167.88,-450.54 161.88,-450.54\"/>\n",
-       "<text text-anchor=\"middle\" x=\"134\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">X_outcome</text>\n",
-       "<text text-anchor=\"middle\" x=\"134\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"134\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M439.88,-325.23C439.88,-325.23 384.12,-325.23 384.12,-325.23 378.12,-325.23 372.12,-319.23 372.12,-313.23 372.12,-313.23 372.12,-279.73 372.12,-279.73 372.12,-273.73 378.12,-267.73 384.12,-267.73 384.12,-267.73 439.88,-267.73 439.88,-267.73 445.88,-267.73 451.88,-273.73 451.88,-279.73 451.88,-279.73 451.88,-313.23 451.88,-313.23 451.88,-319.23 445.88,-325.23 439.88,-325.23\"/>\n",
+       "<text text-anchor=\"middle\" x=\"412\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">X_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"412\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"412\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node5\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
        "<title>like</title>\n",
-       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"399\" cy=\"-291.98\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"399\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
-       "<text text-anchor=\"middle\" x=\"399\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"399\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"307\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"307\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
+       "<text text-anchor=\"middle\" x=\"307\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"307\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge9\" class=\"edge\">\n",
+       "<g id=\"edge10\" class=\"edge\">\n",
        "<title>X_outcome&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M146.65,-392.67C155.34,-376.87 168.47,-358.42 186,-348.63 207.59,-336.58 273.07,-346.86 297,-340.63 316.45,-335.57 336.73,-326.89 354.04,-318.31\"/>\n",
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-       "</g>\n",
-       "<!-- T -->\n",
-       "<g id=\"node3\" class=\"node\">\n",
-       "<title>T</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M336,-98C336,-98 306,-98 306,-98 300,-98 294,-92 294,-86 294,-86 294,-52.5 294,-52.5 294,-46.5 300,-40.5 306,-40.5 306,-40.5 336,-40.5 336,-40.5 342,-40.5 348,-46.5 348,-52.5 348,-52.5 348,-86 348,-86 348,-92 342,-98 336,-98\"/>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">T</text>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M393.81,-267.35C384.37,-253.55 372.27,-236.99 360,-223.32 355.71,-218.54 350.98,-213.74 346.17,-209.12\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"348.87,-206.85 339.16,-202.6 344.1,-211.97 348.87,-206.85\"/>\n",
        "</g>\n",
        "<!-- t_pred -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node3\" class=\"node\">\n",
        "<title>t_pred</title>\n",
-       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"321\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"63\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"63\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
+       "<text text-anchor=\"middle\" x=\"63\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"63\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
+       "</g>\n",
+       "<!-- T -->\n",
+       "<g id=\"node7\" class=\"node\">\n",
+       "<title>T</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M78,-98C78,-98 48,-98 48,-98 42,-98 36,-92 36,-86 36,-86 36,-52.5 36,-52.5 36,-46.5 42,-40.5 48,-40.5 48,-40.5 78,-40.5 78,-40.5 84,-40.5 90,-46.5 90,-52.5 90,-52.5 90,-86 90,-86 90,-92 84,-98 78,-98\"/>\n",
+       "<text text-anchor=\"middle\" x=\"63\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">T</text>\n",
+       "<text text-anchor=\"middle\" x=\"63\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"63\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
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        "<!-- t_pred&#45;&gt;T -->\n",
        "<g id=\"edge1\" class=\"edge\">\n",
        "<title>t_pred&#45;&gt;T</title>\n",
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        "<title>Y</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M428,-203.41C428,-203.41 398,-203.41 398,-203.41 392,-203.41 386,-197.41 386,-191.41 386,-191.41 386,-157.91 386,-157.91 386,-151.91 392,-145.91 398,-145.91 398,-145.91 428,-145.91 428,-145.91 434,-145.91 440,-151.91 440,-157.91 440,-157.91 440,-191.41 440,-191.41 440,-197.41 434,-203.41 428,-203.41\"/>\n",
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-       "<text text-anchor=\"middle\" x=\"413\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"413\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M322,-98C322,-98 292,-98 292,-98 286,-98 280,-92 280,-86 280,-86 280,-52.5 280,-52.5 280,-46.5 286,-40.5 292,-40.5 292,-40.5 322,-40.5 322,-40.5 328,-40.5 334,-46.5 334,-52.5 334,-52.5 334,-86 334,-86 334,-92 328,-98 322,-98\"/>\n",
+       "<text text-anchor=\"middle\" x=\"307\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
+       "<text text-anchor=\"middle\" x=\"307\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"307\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
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        "<!-- like&#45;&gt;Y -->\n",
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        "<title>like&#45;&gt;Y</title>\n",
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-       "<!-- weighted_outcome -->\n",
-       "<g id=\"node6\" class=\"node\">\n",
-       "<title>weighted_outcome</title>\n",
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-       "<text text-anchor=\"middle\" x=\"196\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">weighted_outcome</text>\n",
-       "<text text-anchor=\"middle\" x=\"196\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"196\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M307,-133.68C307,-125.83 307,-117.6 307,-109.76\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"310.5,-109.79 307,-99.79 303.5,-109.79 310.5,-109.79\"/>\n",
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        "<!-- p&#45;&gt;t_pred -->\n",
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        "<title>p&#45;&gt;t_pred</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M262.08,-262.77C270.89,-249.75 281.54,-233.99 291.36,-219.48\"/>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"105.04,-211.11 95.4,-206.72 100.2,-216.16 105.04,-211.11\"/>\n",
+       "</g>\n",
+       "<!-- p&#45;&gt;like -->\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M215.9,-267.38C232.22,-250.95 253.02,-230.01 270.61,-212.29\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"272.82,-215.04 277.38,-205.48 267.85,-210.11 272.82,-215.04\"/>\n",
+       "</g>\n",
+       "<!-- weighted_outcome -->\n",
+       "<g id=\"node6\" class=\"node\">\n",
+       "<title>weighted_outcome</title>\n",
+       "<polygon fill=\"none\" stroke=\"black\" points=\"247.75,-203.41 128.25,-203.41 128.25,-145.91 247.75,-145.91 247.75,-203.41\"/>\n",
+       "<text text-anchor=\"middle\" x=\"188\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">weighted_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"188\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"188\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- p&#45;&gt;weighted_outcome -->\n",
        "<g id=\"edge7\" class=\"edge\">\n",
        "<title>p&#45;&gt;weighted_outcome</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M231.5,-262.77C225.54,-248.14 218.17,-230.05 211.69,-214.16\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"214.97,-212.92 207.95,-204.98 208.48,-215.56 214.97,-212.92\"/>\n",
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        "</g>\n",
        "<!-- beta_trt_ -->\n",
        "<g id=\"node9\" class=\"node\">\n",
        "<title>beta_trt_</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"243\" cy=\"-421.79\" rx=\"45.25\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"243\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_trt_</text>\n",
-       "<text text-anchor=\"middle\" x=\"243\" y=\"-416.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"243\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"188\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"188\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">beta_trt_</text>\n",
+       "<text text-anchor=\"middle\" x=\"188\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"188\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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        "<!-- beta_trt_&#45;&gt;p -->\n",
        "<g id=\"edge3\" class=\"edge\">\n",
        "<title>beta_trt_&#45;&gt;p</title>\n",
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-       "<polygon fill=\"black\" stroke=\"black\" points=\"246.5,-332.69 243,-322.69 239.5,-332.69 246.5,-332.69\"/>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"191.5,-337.19 188,-327.19 184.5,-337.19 191.5,-337.19\"/>\n",
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        "<!-- beta_ -->\n",
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        "<title>beta_</title>\n",
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-       "<text text-anchor=\"middle\" x=\"353\" y=\"-433.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_</text>\n",
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-       "<text text-anchor=\"middle\" x=\"353\" y=\"-400.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"517\" cy=\"-296.48\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"517\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">beta_</text>\n",
+       "<text text-anchor=\"middle\" x=\"517\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"517\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
        "<title>beta_&#45;&gt;like</title>\n",
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        "</g>\n",
-       "<!-- sigma -->\n",
+       "<!-- alpha_outcome -->\n",
        "<g id=\"node11\" class=\"node\">\n",
+       "<title>alpha_outcome</title>\n",
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+       "<text text-anchor=\"middle\" x=\"646\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"646\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"646\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
+       "<g id=\"edge12\" class=\"edge\">\n",
+       "<title>alpha_outcome&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M616.38,-259.55C603.49,-246.17 587.36,-232.12 570,-223.32 502.58,-189.12 414.46,-179.15 359.29,-176.42\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"359.69,-172.93 349.55,-176 359.39,-179.92 359.69,-172.93\"/>\n",
+       "</g>\n",
+       "<!-- sigma -->\n",
+       "<g id=\"node12\" class=\"node\">\n",
        "<title>sigma</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"578\" cy=\"-421.79\" rx=\"57.45\" ry=\"40.66\"/>\n",
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+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"792\" cy=\"-296.48\" rx=\"57.45\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"792\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text text-anchor=\"middle\" x=\"792\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge10\" class=\"edge\">\n",
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+       "<!-- beta_ps -->\n",
+       "<g id=\"node13\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"908\" cy=\"-296.48\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"908\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text text-anchor=\"middle\" x=\"908\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"908\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_ps&#45;&gt;like -->\n",
+       "<g id=\"edge13\" class=\"edge\">\n",
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-       "<g id=\"node12\" class=\"node\">\n",
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-       "<g id=\"edge5\" class=\"edge\">\n",
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       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x306ed1f60>"
+       "<graphviz.graphs.Digraph at 0x1501e0bb0>"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -396,6 +416,7 @@
     "\n",
     "        beta_trt = pm.Normal(\"beta_trt_\", 0, 1, dims=\"betas_trt\")\n",
     "        beta = pm.Normal(\"beta_\", 0, 1, dims=\"betas\")\n",
+    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1)\n",
     "\n",
     "        alpha_trt = pm.Normal(\"alpha_trt\", 0, 1)\n",
     "        mu_trt = alpha_trt + pm.math.dot(X_data_trt, beta_trt)\n",
@@ -404,7 +425,7 @@
     "        pm.Bernoulli(\"t_pred\", p=p, observed=T_data_)\n",
     "\n",
     "        alpha_outcome = pm.Normal(\"alpha_outcome\", 0, 1)\n",
-    "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta)\n",
+    "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + beta_ps * p\n",
     "        sigma = pm.Exponential(\"sigma\", 1)\n",
     "\n",
     "        p_inv = pm.math.where(T_data, 1 / p, 1 / (1 - p))\n",
@@ -422,20 +443,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [alpha_outcome, alpha_trt, beta_, beta_trt_, like, sigma, t_pred]\n"
+      "Sampling: [alpha_outcome, alpha_trt, beta_, beta_ps, beta_trt_, like, sigma, t_pred]\n"
      ]
     },
     {
      "data": {
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+       "model_id": "35fce079858544739d5d76eb231f54be",
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        "version_minor": 0
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@@ -449,7 +470,7 @@
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+       "model_id": "f9b2ffa4e836401192e8c06a88669214",
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@@ -463,7 +484,7 @@
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+       "model_id": "03671d1efeb1409e840c508f55dc59e7",
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        "version_minor": 0
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@@ -477,7 +498,7 @@
     {
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+       "model_id": "4f2a458687c14af49b4a4b45b2b24195",
        "version_major": 2,
        "version_minor": 0
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@@ -497,7 +518,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -535,86 +556,98 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.937</td>\n",
-       "      <td>0.129</td>\n",
-       "      <td>-1.184</td>\n",
-       "      <td>-0.706</td>\n",
+       "      <td>-0.762</td>\n",
+       "      <td>0.116</td>\n",
+       "      <td>-0.976</td>\n",
+       "      <td>-0.546</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>2954.0</td>\n",
-       "      <td>2773.0</td>\n",
+       "      <td>2813.0</td>\n",
+       "      <td>2718.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[x1]</th>\n",
-       "      <td>0.445</td>\n",
-       "      <td>0.083</td>\n",
-       "      <td>0.294</td>\n",
-       "      <td>0.596</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>0.333</td>\n",
+       "      <td>0.081</td>\n",
+       "      <td>0.184</td>\n",
+       "      <td>0.488</td>\n",
+       "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>3048.0</td>\n",
-       "      <td>2863.0</td>\n",
+       "      <td>3493.0</td>\n",
+       "      <td>3009.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[x2]</th>\n",
-       "      <td>1.347</td>\n",
-       "      <td>0.133</td>\n",
-       "      <td>1.106</td>\n",
-       "      <td>1.601</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>1.200</td>\n",
+       "      <td>0.121</td>\n",
+       "      <td>0.976</td>\n",
+       "      <td>1.423</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>2713.0</td>\n",
-       "      <td>2664.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2477.0</td>\n",
+       "      <td>2734.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4.039</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>3.931</td>\n",
-       "      <td>4.152</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2738.0</td>\n",
-       "      <td>2766.0</td>\n",
+       "      <td>3.814</td>\n",
+       "      <td>0.173</td>\n",
+       "      <td>3.474</td>\n",
+       "      <td>4.117</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>1569.0</td>\n",
+       "      <td>1683.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.883</td>\n",
-       "      <td>0.080</td>\n",
-       "      <td>1.736</td>\n",
-       "      <td>2.033</td>\n",
+       "      <td>1.913</td>\n",
+       "      <td>0.075</td>\n",
+       "      <td>1.770</td>\n",
+       "      <td>2.056</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>3224.0</td>\n",
-       "      <td>3113.0</td>\n",
+       "      <td>3594.0</td>\n",
+       "      <td>2778.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.044</td>\n",
-       "      <td>0.033</td>\n",
-       "      <td>0.984</td>\n",
-       "      <td>1.108</td>\n",
+       "      <td>0.964</td>\n",
+       "      <td>0.040</td>\n",
+       "      <td>0.889</td>\n",
+       "      <td>1.039</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>2712.0</td>\n",
-       "      <td>2825.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2296.0</td>\n",
+       "      <td>2442.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x2]</th>\n",
-       "      <td>0.996</td>\n",
-       "      <td>0.052</td>\n",
-       "      <td>0.891</td>\n",
-       "      <td>1.089</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2615.0</td>\n",
-       "      <td>2413.0</td>\n",
+       "      <td>0.912</td>\n",
+       "      <td>0.103</td>\n",
+       "      <td>0.721</td>\n",
+       "      <td>1.103</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>1886.0</td>\n",
+       "      <td>2009.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>0.649</td>\n",
+       "      <td>0.451</td>\n",
+       "      <td>-0.182</td>\n",
+       "      <td>1.495</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>1545.0</td>\n",
+       "      <td>1586.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -623,36 +656,40 @@
       ],
       "text/plain": [
        "                mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "alpha_trt     -0.937  0.129  -1.184   -0.706      0.002    0.002    2954.0   \n",
-       "beta_trt_[x1]  0.445  0.083   0.294    0.596      0.002    0.001    3048.0   \n",
-       "beta_trt_[x2]  1.347  0.133   1.106    1.601      0.003    0.002    2713.0   \n",
-       "alpha_outcome  4.039  0.058   3.931    4.152      0.001    0.001    2738.0   \n",
-       "beta_[trt]     1.883  0.080   1.736    2.033      0.001    0.001    3224.0   \n",
-       "beta_[x1]      1.044  0.033   0.984    1.108      0.001    0.000    2712.0   \n",
-       "beta_[x2]      0.996  0.052   0.891    1.089      0.001    0.001    2615.0   \n",
+       "alpha_trt     -0.762  0.116  -0.976   -0.546      0.002    0.002    2813.0   \n",
+       "beta_trt_[x1]  0.333  0.081   0.184    0.488      0.001    0.001    3493.0   \n",
+       "beta_trt_[x2]  1.200  0.121   0.976    1.423      0.002    0.002    2477.0   \n",
+       "alpha_outcome  3.814  0.173   3.474    4.117      0.004    0.003    1569.0   \n",
+       "beta_[trt]     1.913  0.075   1.770    2.056      0.001    0.001    3594.0   \n",
+       "beta_[x1]      0.964  0.040   0.889    1.039      0.001    0.001    2296.0   \n",
+       "beta_[x2]      0.912  0.103   0.721    1.103      0.002    0.002    1886.0   \n",
+       "beta_ps        0.649  0.451  -0.182    1.495      0.011    0.009    1545.0   \n",
        "\n",
        "               ess_tail  r_hat  \n",
-       "alpha_trt        2773.0    1.0  \n",
-       "beta_trt_[x1]    2863.0    1.0  \n",
-       "beta_trt_[x2]    2664.0    1.0  \n",
-       "alpha_outcome    2766.0    1.0  \n",
-       "beta_[trt]       3113.0    1.0  \n",
-       "beta_[x1]        2825.0    1.0  \n",
-       "beta_[x2]        2413.0    1.0  "
+       "alpha_trt        2718.0    1.0  \n",
+       "beta_trt_[x1]    3009.0    1.0  \n",
+       "beta_trt_[x2]    2734.0    1.0  \n",
+       "alpha_outcome    1683.0    1.0  \n",
+       "beta_[trt]       2778.0    1.0  \n",
+       "beta_[x1]        2442.0    1.0  \n",
+       "beta_[x2]        2009.0    1.0  \n",
+       "beta_ps          1586.0    1.0  "
       ]
      },
-     "execution_count": 29,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "az.summary(idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\"])"
+    "az.summary(\n",
+    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -743,7 +780,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -755,7 +792,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -763,23 +800,24 @@
       "text/latex": [
        "$$\n",
        "            \\begin{array}{rcl}\n",
-       "            \\text{beta\\_trt\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_trt} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_outcome} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{sigma} &\\sim & \\operatorname{Exponential}(f())\\\\\\text{p} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{weighted\\_outcome} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{t\\_pred} &\\sim & \\operatorname{Bernoulli}(\\text{p})\\\\\\text{like} &\\sim & \\operatorname{Normal}(f(\\text{alpha\\_outcome},~\\text{beta\\_}),~\\text{sigma})\n",
+       "            \\text{beta\\_trt\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_ps} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_trt} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_outcome} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{sigma} &\\sim & \\operatorname{Exponential}(f())\\\\\\text{p} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{weighted\\_outcome} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{t\\_pred} &\\sim & \\operatorname{Bernoulli}(\\text{p})\\\\\\text{like} &\\sim & \\operatorname{Normal}(f(\\text{beta\\_},~\\text{alpha\\_outcome},~\\text{beta\\_ps},~\\text{beta\\_trt\\_},~\\text{alpha\\_trt}),~\\text{sigma})\n",
        "            \\end{array}\n",
        "            $$"
       ],
       "text/plain": [
        "       beta_trt_ ~ Normal(0, 1)\n",
        "           beta_ ~ Normal(0, 1)\n",
+       "         beta_ps ~ Normal(0, 1)\n",
        "       alpha_trt ~ Normal(0, 1)\n",
        "   alpha_outcome ~ Normal(0, 1)\n",
        "           sigma ~ Exponential(f())\n",
        "               p ~ Deterministic(f(beta_trt_, alpha_trt))\n",
        "weighted_outcome ~ Deterministic(f(beta_trt_, alpha_trt))\n",
        "          t_pred ~ Bernoulli(p)\n",
-       "            like ~ Normal(f(alpha_outcome, beta_), sigma)"
+       "            like ~ Normal(f(beta_, alpha_outcome, beta_ps, beta_trt_, alpha_trt), sigma)"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -811,7 +849,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
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        "<title>X</title>\n",
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-       "<g id=\"node3\" class=\"node\">\n",
-       "<title>T</title>\n",
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        "<!-- t_pred -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
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+       "</g>\n",
+       "<!-- T -->\n",
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+       "<title>T</title>\n",
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        "<!-- Y -->\n",
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        "<title>Y</title>\n",
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        "<!-- like&#45;&gt;Y -->\n",
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        "<!-- p&#45;&gt;t_pred -->\n",
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+       "<!-- p&#45;&gt;like -->\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
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+       "<!-- weighted_outcome -->\n",
+       "<g id=\"node6\" class=\"node\">\n",
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+       "<text text-anchor=\"middle\" x=\"188\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- beta_&#45;&gt;like -->\n",
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-       "<!-- sigma -->\n",
+       "<!-- alpha_outcome -->\n",
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+       "<title>alpha_outcome</title>\n",
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+       "<text text-anchor=\"middle\" x=\"646\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
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+       "<text text-anchor=\"middle\" x=\"646\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
+       "<g id=\"edge12\" class=\"edge\">\n",
+       "<title>alpha_outcome&#45;&gt;like</title>\n",
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+       "<!-- sigma -->\n",
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+       "<text text-anchor=\"middle\" x=\"792\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge10\" class=\"edge\">\n",
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+       "<!-- beta_ps -->\n",
+       "<g id=\"node13\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
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+       "<text text-anchor=\"middle\" x=\"908\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_ps&#45;&gt;like -->\n",
+       "<g id=\"edge13\" class=\"edge\">\n",
+       "<title>beta_ps&#45;&gt;like</title>\n",
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        "<!-- alpha_trt -->\n",
-       "<g id=\"node12\" class=\"node\">\n",
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+       "<text text-anchor=\"middle\" x=\"297\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
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        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
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       ],
       "text/plain": [
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+       "<graphviz.graphs.Digraph at 0x302be73d0>"
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      },
-     "execution_count": 32,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1040,20 +1098,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [alpha_outcome, alpha_trt, beta_, beta_trt_, like, sigma, t_pred]\n"
+      "Sampling: [alpha_outcome, alpha_trt, beta_, beta_ps, beta_trt_, like, sigma, t_pred]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8db0e71c8cd040de972e0f9dface5a11",
+       "model_id": "4a234ba5fc1049a088ba68ffb1dd2ab8",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1067,7 +1125,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ac29b5aa21b143d68764173b9389636d",
+       "model_id": "fe20eee1d0e64577bb349cd0edd2d48e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1081,7 +1139,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "254b45e8bf4b4ce5b347dddfc89a895e",
+       "model_id": "593645f6b0f24609b6d581f1f30f0a49",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1095,7 +1153,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "afd46a14b6a847ffbd2835771dff4970",
+       "model_id": "cd7272c715d0499abab1e862d17f4795",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1115,7 +1173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -1153,50 +1211,50 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.098</td>\n",
+       "      <td>-1.097</td>\n",
        "      <td>0.060</td>\n",
-       "      <td>-1.210</td>\n",
-       "      <td>-0.986</td>\n",
+       "      <td>-1.204</td>\n",
+       "      <td>-0.980</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>6071.0</td>\n",
-       "      <td>3167.0</td>\n",
+       "      <td>5029.0</td>\n",
+       "      <td>2660.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[age]</th>\n",
        "      <td>0.041</td>\n",
        "      <td>0.009</td>\n",
-       "      <td>0.024</td>\n",
-       "      <td>0.058</td>\n",
+       "      <td>0.023</td>\n",
+       "      <td>0.057</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>3210.0</td>\n",
-       "      <td>3069.0</td>\n",
+       "      <td>2811.0</td>\n",
+       "      <td>2565.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[smokeintensity]</th>\n",
        "      <td>-0.018</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>-0.028</td>\n",
-       "      <td>-0.008</td>\n",
+       "      <td>-0.029</td>\n",
+       "      <td>-0.009</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>5548.0</td>\n",
-       "      <td>2777.0</td>\n",
+       "      <td>4747.0</td>\n",
+       "      <td>2745.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[smokeyrs]</th>\n",
        "      <td>-0.021</td>\n",
        "      <td>0.009</td>\n",
-       "      <td>-0.038</td>\n",
+       "      <td>-0.039</td>\n",
        "      <td>-0.004</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>3271.0</td>\n",
-       "      <td>3144.0</td>\n",
+       "      <td>2925.0</td>\n",
+       "      <td>2495.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1207,80 +1265,92 @@
        "      <td>0.018</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>5397.0</td>\n",
-       "      <td>2656.0</td>\n",
+       "      <td>4898.0</td>\n",
+       "      <td>2980.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.817</td>\n",
-       "      <td>0.214</td>\n",
-       "      <td>1.427</td>\n",
-       "      <td>2.224</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>3916.0</td>\n",
-       "      <td>2925.0</td>\n",
+       "      <td>1.753</td>\n",
+       "      <td>0.311</td>\n",
+       "      <td>1.156</td>\n",
+       "      <td>2.323</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>2649.0</td>\n",
+       "      <td>3024.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.938</td>\n",
-       "      <td>0.399</td>\n",
-       "      <td>2.180</td>\n",
-       "      <td>3.672</td>\n",
+       "      <td>2.943</td>\n",
+       "      <td>0.395</td>\n",
+       "      <td>2.166</td>\n",
+       "      <td>3.671</td>\n",
        "      <td>0.006</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>3981.0</td>\n",
-       "      <td>3207.0</td>\n",
+       "      <td>4271.0</td>\n",
+       "      <td>2695.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-0.223</td>\n",
-       "      <td>0.032</td>\n",
-       "      <td>-0.285</td>\n",
-       "      <td>-0.164</td>\n",
+       "      <td>-0.227</td>\n",
+       "      <td>0.033</td>\n",
+       "      <td>-0.286</td>\n",
+       "      <td>-0.160</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>2984.0</td>\n",
-       "      <td>2341.0</td>\n",
+       "      <td>2461.0</td>\n",
+       "      <td>2833.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
        "      <td>0.027</td>\n",
        "      <td>0.017</td>\n",
-       "      <td>-0.005</td>\n",
+       "      <td>-0.004</td>\n",
        "      <td>0.058</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>4993.0</td>\n",
-       "      <td>3029.0</td>\n",
+       "      <td>4695.0</td>\n",
+       "      <td>2705.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.074</td>\n",
+       "      <td>0.078</td>\n",
        "      <td>0.032</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>0.136</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>0.137</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>3079.0</td>\n",
-       "      <td>2698.0</td>\n",
+       "      <td>2548.0</td>\n",
+       "      <td>2662.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-0.082</td>\n",
+       "      <td>-0.083</td>\n",
        "      <td>0.012</td>\n",
-       "      <td>-0.105</td>\n",
-       "      <td>-0.059</td>\n",
+       "      <td>-0.107</td>\n",
+       "      <td>-0.060</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>5337.0</td>\n",
-       "      <td>2649.0</td>\n",
+       "      <td>4645.0</td>\n",
+       "      <td>2511.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>0.261</td>\n",
+       "      <td>0.942</td>\n",
+       "      <td>-1.399</td>\n",
+       "      <td>2.108</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>2852.0</td>\n",
+       "      <td>2884.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1289,51 +1359,55 @@
       ],
       "text/plain": [
        "                            mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "alpha_trt                 -1.098  0.060  -1.210   -0.986      0.001    0.001   \n",
-       "beta_trt_[age]             0.041  0.009   0.024    0.058      0.000    0.000   \n",
-       "beta_trt_[smokeintensity] -0.018  0.005  -0.028   -0.008      0.000    0.000   \n",
-       "beta_trt_[smokeyrs]       -0.021  0.009  -0.038   -0.004      0.000    0.000   \n",
+       "alpha_trt                 -1.097  0.060  -1.204   -0.980      0.001    0.001   \n",
+       "beta_trt_[age]             0.041  0.009   0.023    0.057      0.000    0.000   \n",
+       "beta_trt_[smokeintensity] -0.018  0.005  -0.029   -0.009      0.000    0.000   \n",
+       "beta_trt_[smokeyrs]       -0.021  0.009  -0.039   -0.004      0.000    0.000   \n",
        "beta_trt_[wt71]            0.011  0.004   0.003    0.018      0.000    0.000   \n",
-       "alpha_outcome              1.817  0.214   1.427    2.224      0.003    0.002   \n",
-       "beta_[trt]                 2.938  0.399   2.180    3.672      0.006    0.004   \n",
-       "beta_[age]                -0.223  0.032  -0.285   -0.164      0.001    0.000   \n",
-       "beta_[smokeintensity]      0.027  0.017  -0.005    0.058      0.000    0.000   \n",
-       "beta_[smokeyrs]            0.074  0.032   0.016    0.136      0.001    0.000   \n",
-       "beta_[wt71]               -0.082  0.012  -0.105   -0.059      0.000    0.000   \n",
+       "alpha_outcome              1.753  0.311   1.156    2.323      0.006    0.004   \n",
+       "beta_[trt]                 2.943  0.395   2.166    3.671      0.006    0.004   \n",
+       "beta_[age]                -0.227  0.033  -0.286   -0.160      0.001    0.000   \n",
+       "beta_[smokeintensity]      0.027  0.017  -0.004    0.058      0.000    0.000   \n",
+       "beta_[smokeyrs]            0.078  0.032   0.018    0.137      0.001    0.000   \n",
+       "beta_[wt71]               -0.083  0.012  -0.107   -0.060      0.000    0.000   \n",
+       "beta_ps                    0.261  0.942  -1.399    2.108      0.018    0.014   \n",
        "\n",
        "                           ess_bulk  ess_tail  r_hat  \n",
-       "alpha_trt                    6071.0    3167.0    1.0  \n",
-       "beta_trt_[age]               3210.0    3069.0    1.0  \n",
-       "beta_trt_[smokeintensity]    5548.0    2777.0    1.0  \n",
-       "beta_trt_[smokeyrs]          3271.0    3144.0    1.0  \n",
-       "beta_trt_[wt71]              5397.0    2656.0    1.0  \n",
-       "alpha_outcome                3916.0    2925.0    1.0  \n",
-       "beta_[trt]                   3981.0    3207.0    1.0  \n",
-       "beta_[age]                   2984.0    2341.0    1.0  \n",
-       "beta_[smokeintensity]        4993.0    3029.0    1.0  \n",
-       "beta_[smokeyrs]              3079.0    2698.0    1.0  \n",
-       "beta_[wt71]                  5337.0    2649.0    1.0  "
+       "alpha_trt                    5029.0    2660.0    1.0  \n",
+       "beta_trt_[age]               2811.0    2565.0    1.0  \n",
+       "beta_trt_[smokeintensity]    4747.0    2745.0    1.0  \n",
+       "beta_trt_[smokeyrs]          2925.0    2495.0    1.0  \n",
+       "beta_trt_[wt71]              4898.0    2980.0    1.0  \n",
+       "alpha_outcome                2649.0    3024.0    1.0  \n",
+       "beta_[trt]                   4271.0    2695.0    1.0  \n",
+       "beta_[age]                   2461.0    2833.0    1.0  \n",
+       "beta_[smokeintensity]        4695.0    2705.0    1.0  \n",
+       "beta_[smokeyrs]              2548.0    2662.0    1.0  \n",
+       "beta_[wt71]                  4645.0    2511.0    1.0  \n",
+       "beta_ps                      2852.0    2884.0    1.0  "
       ]
      },
-     "execution_count": 34,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "az.summary(idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\"])"
+    "az.summary(\n",
+    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 1200x800 with 8 Axes>"
+       "<Figure size 1200x1000 with 10 Axes>"
       ]
      },
      "metadata": {},
@@ -1341,7 +1415,9 @@
     }
    ],
    "source": [
-    "az.plot_trace(idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\"]);"
+    "az.plot_trace(\n",
+    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
+    ");"
    ]
   }
  ],

From a834d84a00ba012d1b194d0fca5c4dddf09219b6 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Tue, 8 Jul 2025 12:40:57 +0100
Subject: [PATCH 04/31] adding spline function on the propensity score

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/data/nets_df.csv                   | 1753 +++++++
 docs/source/notebooks/inv_prop_latent.ipynb | 5178 ++++++++++++++++---
 2 files changed, 6344 insertions(+), 587 deletions(-)
 create mode 100644 causalpy/data/nets_df.csv

diff --git a/causalpy/data/nets_df.csv b/causalpy/data/nets_df.csv
new file mode 100644
index 00000000..aa2578e3
--- /dev/null
+++ b/causalpy/data/nets_df.csv
@@ -0,0 +1,1753 @@
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diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 670a67ef..a625ef9e 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 151,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10,13 +10,14 @@
     "import numpy as np\n",
     "import pandas as pd\n",
     "import pymc as pm\n",
+    "from patsy import dmatrix\n",
     "\n",
     "import causalpy as cp"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 137,
    "metadata": {},
    "outputs": [
     {
@@ -49,53 +50,53 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.893543</td>\n",
-       "      <td>1.890928</td>\n",
+       "      <td>0.324714</td>\n",
+       "      <td>0.121073</td>\n",
        "      <td>1</td>\n",
-       "      <td>7.845291</td>\n",
+       "      <td>7.206744</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.809249</td>\n",
-       "      <td>0.986342</td>\n",
-       "      <td>1</td>\n",
-       "      <td>6.867281</td>\n",
+       "      <td>-1.257066</td>\n",
+       "      <td>-0.400438</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.865809</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1.129722</td>\n",
-       "      <td>1.242561</td>\n",
+       "      <td>1.491616</td>\n",
+       "      <td>1.693848</td>\n",
        "      <td>1</td>\n",
-       "      <td>10.064628</td>\n",
+       "      <td>9.825401</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-0.652340</td>\n",
-       "      <td>-1.245170</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.964228</td>\n",
+       "      <td>2.413023</td>\n",
+       "      <td>2.385870</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9.819792</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>-1.645314</td>\n",
-       "      <td>-0.586475</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.009993</td>\n",
+       "      <td>1.128825</td>\n",
+       "      <td>1.699364</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9.099724</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "         x1        x2  trt    outcome\n",
-       "0  0.893543  1.890928    1   7.845291\n",
-       "1  0.809249  0.986342    1   6.867281\n",
-       "2  1.129722  1.242561    1  10.064628\n",
-       "3 -0.652340 -1.245170    0   1.964228\n",
-       "4 -1.645314 -0.586475    0   1.009993"
+       "         x1        x2  trt   outcome\n",
+       "0  0.324714  0.121073    1  7.206744\n",
+       "1 -1.257066 -0.400438    0  1.865809\n",
+       "2  1.491616  1.693848    1  9.825401\n",
+       "3  2.413023  2.385870    1  9.819792\n",
+       "4  1.128825  1.699364    1  9.099724"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 137,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -130,29 +131,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 225,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.604"
+       "(100, 14)"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 225,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df1[\"trt\"].mean()"
+    "B_ = dmatrix(\n",
+    "    \"bs(ps, knots=knots, degree=3, include_intercept=True) - 1\",\n",
+    "    {\"ps\": np.linspace(0, 1, 100), \"knots\": np.linspace(0, 1, 12)[1:-1]},\n",
+    ")\n",
+    "B_f = np.asarray(B_, order=\"F\")\n",
+    "\n",
+    "B_f.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n"
+     ]
+    },
     {
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+       "<text text-anchor=\"middle\" x=\"43\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node5\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
        "<title>p</title>\n",
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-       "<text text-anchor=\"middle\" x=\"188\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
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        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
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        "<!-- X_outcome -->\n",
        "<g id=\"node2\" class=\"node\">\n",
        "<title>X_outcome</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M439.88,-325.23C439.88,-325.23 384.12,-325.23 384.12,-325.23 378.12,-325.23 372.12,-319.23 372.12,-313.23 372.12,-313.23 372.12,-279.73 372.12,-279.73 372.12,-273.73 378.12,-267.73 384.12,-267.73 384.12,-267.73 439.88,-267.73 439.88,-267.73 445.88,-267.73 451.88,-273.73 451.88,-279.73 451.88,-279.73 451.88,-313.23 451.88,-313.23 451.88,-319.23 445.88,-325.23 439.88,-325.23\"/>\n",
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+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M390.88,-325.23C390.88,-325.23 335.12,-325.23 335.12,-325.23 329.12,-325.23 323.12,-319.23 323.12,-313.23 323.12,-313.23 323.12,-279.73 323.12,-279.73 323.12,-273.73 329.12,-267.73 335.12,-267.73 335.12,-267.73 390.88,-267.73 390.88,-267.73 396.88,-267.73 402.88,-273.73 402.88,-279.73 402.88,-279.73 402.88,-313.23 402.88,-313.23 402.88,-319.23 396.88,-325.23 390.88,-325.23\"/>\n",
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        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node8\" class=\"node\">\n",
        "<title>like</title>\n",
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-       "<text text-anchor=\"middle\" x=\"307\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge10\" class=\"edge\">\n",
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-       "<!-- t_pred -->\n",
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-       "<text text-anchor=\"middle\" x=\"63\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
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        "<!-- T -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
+       "<g id=\"node3\" class=\"node\">\n",
        "<title>T</title>\n",
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-       "<title>Y</title>\n",
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+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M155,-98C155,-98 125,-98 125,-98 119,-98 113,-92 113,-86 113,-86 113,-52.5 113,-52.5 113,-46.5 119,-40.5 125,-40.5 125,-40.5 155,-40.5 155,-40.5 161,-40.5 167,-46.5 167,-52.5 167,-52.5 167,-86 167,-86 167,-92 161,-98 155,-98\"/>\n",
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+       "<text text-anchor=\"middle\" x=\"140\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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-       "<!-- like&#45;&gt;Y -->\n",
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+       "<!-- t_pred -->\n",
+       "<g id=\"node6\" class=\"node\">\n",
+       "<title>t_pred</title>\n",
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+       "<text text-anchor=\"middle\" x=\"140\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
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        "<!-- p&#45;&gt;t_pred -->\n",
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        "<!-- p&#45;&gt;like -->\n",
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+       "<!-- Y -->\n",
+       "<g id=\"node5\" class=\"node\">\n",
+       "<title>Y</title>\n",
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+       "<!-- t_pred&#45;&gt;T -->\n",
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+       "<!-- spline_features -->\n",
+       "<g id=\"node7\" class=\"node\">\n",
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+       "</g>\n",
+       "<!-- spline_features&#45;&gt;like -->\n",
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+       "<!-- like&#45;&gt;Y -->\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"310.82,-179.43 300.35,-181.04 309.54,-186.31 310.82,-179.43\"/>\n",
        "</g>\n",
-       "<!-- alpha_outcome -->\n",
+       "<!-- beta_ps -->\n",
        "<g id=\"node11\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"250\" cy=\"-426.29\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_ps&#45;&gt;spline_features -->\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
+       "<title>beta_ps&#45;&gt;spline_features</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M250,-385.2C250,-369.8 250,-352.24 250,-336.9\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"253.5,-337.19 250,-327.19 246.5,-337.19 253.5,-337.19\"/>\n",
+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node12\" class=\"node\">\n",
        "<title>alpha_outcome</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"646\" cy=\"-296.48\" rx=\"70.18\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"646\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
-       "<text text-anchor=\"middle\" x=\"646\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"646\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"597\" cy=\"-296.48\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"597\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"597\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"597\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge12\" class=\"edge\">\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
        "<title>alpha_outcome&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M616.38,-259.55C603.49,-246.17 587.36,-232.12 570,-223.32 502.58,-189.12 414.46,-179.15 359.29,-176.42\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"359.69,-172.93 349.55,-176 359.39,-179.92 359.69,-172.93\"/>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M567.38,-259.55C554.49,-246.17 538.36,-232.12 521,-223.32 453.58,-189.12 365.46,-179.15 310.29,-176.42\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"310.69,-172.93 300.55,-176 310.39,-179.92 310.69,-172.93\"/>\n",
        "</g>\n",
        "<!-- sigma -->\n",
-       "<g id=\"node12\" class=\"node\">\n",
+       "<g id=\"node13\" class=\"node\">\n",
        "<title>sigma</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"792\" cy=\"-296.48\" rx=\"57.45\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"792\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
-       "<text text-anchor=\"middle\" x=\"792\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"792\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Exponential</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"743\" cy=\"-296.48\" rx=\"57.45\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"743\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text text-anchor=\"middle\" x=\"743\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"743\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Exponential</text>\n",
        "</g>\n",
        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
        "<title>sigma&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M767.23,-259.36C755.98,-245.79 741.48,-231.65 725,-223.32 662.2,-191.58 457.17,-180.62 359.56,-177.14\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"359.83,-173.65 349.72,-176.8 359.59,-180.64 359.83,-173.65\"/>\n",
-       "</g>\n",
-       "<!-- beta_ps -->\n",
-       "<g id=\"node13\" class=\"node\">\n",
-       "<title>beta_ps</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"908\" cy=\"-296.48\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"908\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
-       "<text text-anchor=\"middle\" x=\"908\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"908\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
-       "</g>\n",
-       "<!-- beta_ps&#45;&gt;like -->\n",
-       "<g id=\"edge13\" class=\"edge\">\n",
-       "<title>beta_ps&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M891.24,-258.91C883.16,-245.45 872.11,-231.5 858,-223.32 815.47,-198.65 488.29,-182.95 359.17,-177.65\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"359.67,-174.17 349.54,-177.26 359.39,-181.17 359.67,-174.17\"/>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"310.83,-173.65 300.72,-176.8 310.59,-180.64 310.83,-173.65\"/>\n",
        "</g>\n",
        "<!-- alpha_trt -->\n",
        "<g id=\"node14\" class=\"node\">\n",
        "<title>alpha_trt</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"297\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"297\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
-       "<text text-anchor=\"middle\" x=\"297\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"297\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"354\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"354\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
+       "<text text-anchor=\"middle\" x=\"354\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"354\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
        "<title>alpha_trt&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M274.09,-390.97C265.42,-378.68 255.18,-364.95 245,-353.13 239.35,-346.58 233.06,-339.9 226.78,-333.55\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"229.51,-331.34 219.94,-326.79 224.59,-336.31 229.51,-331.34\"/>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M336.81,-388.61C328.55,-375.13 317.3,-361.2 303,-353.13 281.46,-340.98 214.8,-354.71 192,-345.13 184.87,-342.14 178.04,-337.82 171.77,-332.98\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"174.09,-330.35 164.19,-326.59 169.58,-335.7 174.09,-330.35\"/>\n",
        "</g>\n",
        "</g>\n",
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x1501e0bb0>"
+       "<graphviz.graphs.Digraph at 0x322f2d930>"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 238,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -407,16 +427,25 @@
     "Y_data = df1[\"outcome\"].values\n",
     "\n",
     "\n",
-    "def make_model(X_trt, X_outcome, T_data, Y_data, coords):\n",
+    "def make_model(\n",
+    "    X_trt,\n",
+    "    X_outcome,\n",
+    "    T_data,\n",
+    "    Y_data,\n",
+    "    coords,\n",
+    "    priors={\"beta_\": [0, 1], \"beta_trt\": [0, 1]},\n",
+    "):\n",
     "    with pm.Model(coords=coords) as model:\n",
     "        X_data_trt = pm.Data(\"X\", X_trt)\n",
     "        X_data_outcome = pm.Data(\"X_outcome\", X_outcome)\n",
-    "        T_data_ = pm.Data(\"T\", T_data)\n",
+    "        T_data_ = pm.Data(\"T\", T_data, mutable=True)\n",
     "        Y_data_ = pm.Data(\"Y\", Y_data)\n",
     "\n",
-    "        beta_trt = pm.Normal(\"beta_trt_\", 0, 1, dims=\"betas_trt\")\n",
-    "        beta = pm.Normal(\"beta_\", 0, 1, dims=\"betas\")\n",
-    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1)\n",
+    "        beta_trt = pm.Normal(\n",
+    "            \"beta_trt_\", priors[\"beta_trt\"][0], priors[\"beta_trt\"][1], dims=\"betas_trt\"\n",
+    "        )\n",
+    "        beta = pm.Normal(\"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\")\n",
+    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1, size=14)\n",
     "\n",
     "        alpha_trt = pm.Normal(\"alpha_trt\", 0, 1)\n",
     "        mu_trt = alpha_trt + pm.math.dot(X_data_trt, beta_trt)\n",
@@ -424,13 +453,28 @@
     "\n",
     "        pm.Bernoulli(\"t_pred\", p=p, observed=T_data_)\n",
     "\n",
+    "        B = dmatrix(\n",
+    "            \"bs(ps, knots=knots, degree=3, include_intercept=True) - 1\",\n",
+    "            {\"ps\": np.linspace(0, 1, X_trt.shape[0]), \"knots\": np.linspace(0, 1, 10)},\n",
+    "        )\n",
+    "        B_f = np.asarray(B, order=\"F\")\n",
+    "        splines_summed = pm.Deterministic(\n",
+    "            \"spline_features\", pm.math.dot(B_f, beta_ps.T)\n",
+    "        )\n",
+    "\n",
     "        alpha_outcome = pm.Normal(\"alpha_outcome\", 0, 1)\n",
-    "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + beta_ps * p\n",
+    "        mu_outcome = (\n",
+    "            alpha_outcome + pm.math.dot(X_data_outcome, beta) + p * splines_summed\n",
+    "        )\n",
     "        sigma = pm.Exponential(\"sigma\", 1)\n",
     "\n",
-    "        p_inv = pm.math.where(T_data, 1 / p, 1 / (1 - p))\n",
+    "        # p_of_t = T_data.mean()\n",
+    "        # p_inv = pm.math.where(T_data == 1, p_of_t/p, (1- p_of_t)/(1 - p))\n",
+    "        # trted = pm.math.sum(p_inv[T_data == 1]*Y_data[T_data == 1])\n",
+    "        # ntrted = pm.math.sum(p_inv[T_data == 0]*Y_data[T_data == 0])\n",
+    "        # ate = pm.Deterministic('ate', (trted / Y_data[T_data == 1].shape[0]) - (ntrted / Y_data[T_data == 0].shape[0]))\n",
     "\n",
-    "        _ = pm.Deterministic(\"weighted_outcome\", p_inv * Y_data)\n",
+    "        # _ = pm.Deterministic(\"weighted_outcome\", p_inv * Y_data_)\n",
     "        _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
     "\n",
     "    return model\n",
@@ -443,7 +487,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 239,
    "metadata": {},
    "outputs": [
     {
@@ -456,7 +500,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "35fce079858544739d5d76eb231f54be",
+       "model_id": "bc512fee2be24c7badf3b44fdad684b7",
        "version_major": 2,
        "version_minor": 0
       },
@@ -470,7 +514,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f9b2ffa4e836401192e8c06a88669214",
+       "model_id": "3c5797b850c64d76b34e0dd36fcef89b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -484,7 +528,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "03671d1efeb1409e840c508f55dc59e7",
+       "model_id": "4dc495689d53412297b9cfa4d7043cee",
        "version_major": 2,
        "version_minor": 0
       },
@@ -498,198 +542,3963 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4f2a458687c14af49b4a4b45b2b24195",
+       "model_id": "e1d9df4b9a814f208cf4f44f36b13fbd",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/3000 [00:00<?, ?it/s]"
+       "  0%|          | 0/3000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with model:\n",
+    "    idata = pm.sample_prior_predictive()\n",
+    "    idata.extend(pm.sample(tune=2000, target_accept=0.95, nuts_sampler=\"numpyro\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 240,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-0.983</td>\n",
+       "      <td>0.123</td>\n",
+       "      <td>-1.208</td>\n",
+       "      <td>-0.744</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3807.0</td>\n",
+       "      <td>2630.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[x1]</th>\n",
+       "      <td>0.320</td>\n",
+       "      <td>0.079</td>\n",
+       "      <td>0.170</td>\n",
+       "      <td>0.461</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3884.0</td>\n",
+       "      <td>2685.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[x2]</th>\n",
+       "      <td>1.331</td>\n",
+       "      <td>0.125</td>\n",
+       "      <td>1.082</td>\n",
+       "      <td>1.543</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3509.0</td>\n",
+       "      <td>2868.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>4.023</td>\n",
+       "      <td>0.101</td>\n",
+       "      <td>3.834</td>\n",
+       "      <td>4.208</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>1305.0</td>\n",
+       "      <td>1981.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>1.999</td>\n",
+       "      <td>0.081</td>\n",
+       "      <td>1.844</td>\n",
+       "      <td>2.151</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>5219.0</td>\n",
+       "      <td>2681.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x1]</th>\n",
+       "      <td>0.998</td>\n",
+       "      <td>0.036</td>\n",
+       "      <td>0.926</td>\n",
+       "      <td>1.061</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>3413.0</td>\n",
+       "      <td>3054.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x2]</th>\n",
+       "      <td>1.049</td>\n",
+       "      <td>0.071</td>\n",
+       "      <td>0.916</td>\n",
+       "      <td>1.179</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>1729.0</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>0.021</td>\n",
+       "      <td>1.011</td>\n",
+       "      <td>-1.885</td>\n",
+       "      <td>1.836</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>5508.0</td>\n",
+       "      <td>2927.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>0.161</td>\n",
+       "      <td>0.473</td>\n",
+       "      <td>-0.694</td>\n",
+       "      <td>1.085</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>2414.0</td>\n",
+       "      <td>2156.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[2]</th>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.515</td>\n",
+       "      <td>-1.004</td>\n",
+       "      <td>0.962</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>2587.0</td>\n",
+       "      <td>2836.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[3]</th>\n",
+       "      <td>0.137</td>\n",
+       "      <td>0.470</td>\n",
+       "      <td>-0.819</td>\n",
+       "      <td>0.943</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>2423.0</td>\n",
+       "      <td>3084.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[4]</th>\n",
+       "      <td>-0.033</td>\n",
+       "      <td>0.426</td>\n",
+       "      <td>-0.830</td>\n",
+       "      <td>0.771</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>1873.0</td>\n",
+       "      <td>2179.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[5]</th>\n",
+       "      <td>-0.168</td>\n",
+       "      <td>0.383</td>\n",
+       "      <td>-0.914</td>\n",
+       "      <td>0.532</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2046.0</td>\n",
+       "      <td>2872.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[6]</th>\n",
+       "      <td>-0.107</td>\n",
+       "      <td>0.381</td>\n",
+       "      <td>-0.801</td>\n",
+       "      <td>0.615</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>1991.0</td>\n",
+       "      <td>2772.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[7]</th>\n",
+       "      <td>-0.212</td>\n",
+       "      <td>0.389</td>\n",
+       "      <td>-0.945</td>\n",
+       "      <td>0.534</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2008.0</td>\n",
+       "      <td>2651.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[8]</th>\n",
+       "      <td>-0.163</td>\n",
+       "      <td>0.396</td>\n",
+       "      <td>-0.911</td>\n",
+       "      <td>0.587</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2124.0</td>\n",
+       "      <td>2295.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[9]</th>\n",
+       "      <td>-0.438</td>\n",
+       "      <td>0.408</td>\n",
+       "      <td>-1.181</td>\n",
+       "      <td>0.328</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2184.0</td>\n",
+       "      <td>2742.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[10]</th>\n",
+       "      <td>-0.102</td>\n",
+       "      <td>0.486</td>\n",
+       "      <td>-1.070</td>\n",
+       "      <td>0.760</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>2263.0</td>\n",
+       "      <td>2505.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[11]</th>\n",
+       "      <td>0.057</td>\n",
+       "      <td>0.500</td>\n",
+       "      <td>-0.903</td>\n",
+       "      <td>0.955</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>2443.0</td>\n",
+       "      <td>3183.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[12]</th>\n",
+       "      <td>0.071</td>\n",
+       "      <td>0.523</td>\n",
+       "      <td>-0.879</td>\n",
+       "      <td>1.085</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>2949.0</td>\n",
+       "      <td>3270.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[13]</th>\n",
+       "      <td>-0.011</td>\n",
+       "      <td>0.993</td>\n",
+       "      <td>-1.945</td>\n",
+       "      <td>1.757</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>5496.0</td>\n",
+       "      <td>2724.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "alpha_trt     -0.983  0.123  -1.208   -0.744      0.002    0.001    3807.0   \n",
+       "beta_trt_[x1]  0.320  0.079   0.170    0.461      0.001    0.001    3884.0   \n",
+       "beta_trt_[x2]  1.331  0.125   1.082    1.543      0.002    0.002    3509.0   \n",
+       "alpha_outcome  4.023  0.101   3.834    4.208      0.003    0.002    1305.0   \n",
+       "beta_[trt]     1.999  0.081   1.844    2.151      0.001    0.001    5219.0   \n",
+       "beta_[x1]      0.998  0.036   0.926    1.061      0.001    0.000    3413.0   \n",
+       "beta_[x2]      1.049  0.071   0.916    1.179      0.002    0.001    1729.0   \n",
+       "beta_ps[0]     0.021  1.011  -1.885    1.836      0.014    0.018    5508.0   \n",
+       "beta_ps[1]     0.161  0.473  -0.694    1.085      0.010    0.007    2414.0   \n",
+       "beta_ps[2]     0.006  0.515  -1.004    0.962      0.010    0.008    2587.0   \n",
+       "beta_ps[3]     0.137  0.470  -0.819    0.943      0.010    0.007    2423.0   \n",
+       "beta_ps[4]    -0.033  0.426  -0.830    0.771      0.010    0.007    1873.0   \n",
+       "beta_ps[5]    -0.168  0.383  -0.914    0.532      0.008    0.006    2046.0   \n",
+       "beta_ps[6]    -0.107  0.381  -0.801    0.615      0.008    0.006    1991.0   \n",
+       "beta_ps[7]    -0.212  0.389  -0.945    0.534      0.009    0.006    2008.0   \n",
+       "beta_ps[8]    -0.163  0.396  -0.911    0.587      0.009    0.006    2124.0   \n",
+       "beta_ps[9]    -0.438  0.408  -1.181    0.328      0.009    0.006    2184.0   \n",
+       "beta_ps[10]   -0.102  0.486  -1.070    0.760      0.010    0.007    2263.0   \n",
+       "beta_ps[11]    0.057  0.500  -0.903    0.955      0.010    0.007    2443.0   \n",
+       "beta_ps[12]    0.071  0.523  -0.879    1.085      0.010    0.007    2949.0   \n",
+       "beta_ps[13]   -0.011  0.993  -1.945    1.757      0.013    0.017    5496.0   \n",
+       "\n",
+       "               ess_tail  r_hat  \n",
+       "alpha_trt        2630.0    1.0  \n",
+       "beta_trt_[x1]    2685.0    1.0  \n",
+       "beta_trt_[x2]    2868.0    1.0  \n",
+       "alpha_outcome    1981.0    1.0  \n",
+       "beta_[trt]       2681.0    1.0  \n",
+       "beta_[x1]        3054.0    1.0  \n",
+       "beta_[x2]        2017.0    1.0  \n",
+       "beta_ps[0]       2927.0    1.0  \n",
+       "beta_ps[1]       2156.0    1.0  \n",
+       "beta_ps[2]       2836.0    1.0  \n",
+       "beta_ps[3]       3084.0    1.0  \n",
+       "beta_ps[4]       2179.0    1.0  \n",
+       "beta_ps[5]       2872.0    1.0  \n",
+       "beta_ps[6]       2772.0    1.0  \n",
+       "beta_ps[7]       2651.0    1.0  \n",
+       "beta_ps[8]       2295.0    1.0  \n",
+       "beta_ps[9]       2742.0    1.0  \n",
+       "beta_ps[10]      2505.0    1.0  \n",
+       "beta_ps[11]      3183.0    1.0  \n",
+       "beta_ps[12]      3270.0    1.0  \n",
+       "beta_ps[13]      2724.0    1.0  "
+      ]
+     },
+     "execution_count": 240,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(\n",
+    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 241,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_outcome_trt = X_outcome.copy()\n",
+    "X_outcome_trt[:, 0] = 1\n",
+    "\n",
+    "X_outcome_ntrt = X_outcome.copy()\n",
+    "X_outcome_ntrt[:, 0] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 242,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4fb8c45316e9449ebeacf25eee891260",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "90e449b1c7fb4b288a6195429796d045",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with pm.do(\n",
+    "    model,\n",
+    "    {\"T\": np.ones(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
+    "    prune_vars=True,\n",
+    ") as treatment_model:\n",
+    "    idata_trt = pm.sample_posterior_predictive(idata, var_names=[\"like\", \"p\"])\n",
+    "\n",
+    "with pm.do(\n",
+    "    model,\n",
+    "    {\"T\": np.zeros(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
+    "    prune_vars=True,\n",
+    ") as ntreatment_model:\n",
+    "    idata_ntrt = pm.sample_posterior_predictive(idata, var_names=[\"like\", \"p\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 243,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
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+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
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+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
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+       "  --xr-border-color: #1f1f1f;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
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+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
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+       "\n",
+       ".xr-obj-type {\n",
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+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
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+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
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+       ".xr-section-item input:focus + label {\n",
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+       "  padding-left: 0.5em;\n",
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+       "\n",
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+       "  color: var(--xr-font-color2);\n",
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+       "\n",
+       ".xr-section-summary-in + label:before {\n",
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+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(7.51624705)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a30f93b2-cdd7-4bc9-89ad-8ff3a3744aaa' class='xr-array-in' type='checkbox' checked><label for='section-a30f93b2-cdd7-4bc9-89ad-8ff3a3744aaa' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.516</span></div><div class='xr-array-data'><pre>array(7.51624705)</pre></div></div></li><li class='xr-section-item'><input id='section-1d9dd114-b2a7-4e81-8276-35a77573dbc1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d9dd114-b2a7-4e81-8276-35a77573dbc1' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-26602564-3c35-48c3-b204-7a9ca4c523e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-26602564-3c35-48c3-b204-7a9ca4c523e4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e35530e6-a0ab-4990-8a5d-ee2125e24a36' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e35530e6-a0ab-4990-8a5d-ee2125e24a36' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(7.51624705)"
+      ]
+     },
+     "execution_count": 243,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "idata_trt[\"posterior_predictive\"][\"like\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 244,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
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+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
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+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
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+       "  --xr-disabled-color: #515151;\n",
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+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0);\n",
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+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
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+       ".xr-section-summary {\n",
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+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
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+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
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+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
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+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
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+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
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+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
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+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
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+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
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+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
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+       "\n",
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+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
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+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(5.51650717)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ddaf5a3d-a886-4473-9667-9b980fc4d096' class='xr-array-in' type='checkbox' checked><label for='section-ddaf5a3d-a886-4473-9667-9b980fc4d096' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.517</span></div><div class='xr-array-data'><pre>array(5.51650717)</pre></div></div></li><li class='xr-section-item'><input id='section-f6666815-fe7f-456a-8809-601bc50403c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6666815-fe7f-456a-8809-601bc50403c0' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-74db7a6f-7c5a-407f-af3d-828532e2fdbe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-74db7a6f-7c5a-407f-af3d-828532e2fdbe' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a3d08ef9-f9ae-4f87-97fd-3a9e5af6fc0f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3d08ef9-f9ae-4f87-97fd-3a9e5af6fc0f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(5.51650717)"
+      ]
+     },
+     "execution_count": 244,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "idata_ntrt[\"posterior_predictive\"][\"like\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 245,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
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+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
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+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
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+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1f1f1f;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(1.99973988)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c09a8497-57cc-4ee9-afe3-5a99aa36aa57' class='xr-array-in' type='checkbox' checked><label for='section-c09a8497-57cc-4ee9-afe3-5a99aa36aa57' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.0</span></div><div class='xr-array-data'><pre>array(1.99973988)</pre></div></div></li><li class='xr-section-item'><input id='section-dbccba37-ed42-49ee-99e7-55d2ac58837f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dbccba37-ed42-49ee-99e7-55d2ac58837f' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6ae3fef7-eba8-4c47-ae16-31daa991b956' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6ae3fef7-eba8-4c47-ae16-31daa991b956' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-20311f9d-cf13-46ff-8d21-d5a51634ac48' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-20311f9d-cf13-46ff-8d21-d5a51634ac48' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(1.99973988)"
+      ]
+     },
+     "execution_count": 245,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(\n",
+    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
+    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Nets Example\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 246,
+   "metadata": {},
+   "outputs": [
+    {
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+      ],
+      "text/plain": [
+       "        id    net  net_num  malaria_risk  income  health  household  eligible  \\\n",
+       "0        1   True        1            33     781      56          2     False   \n",
+       "1        2  False        0            42     974      57          4     False   \n",
+       "2        3  False        0            80     502      15          3     False   \n",
+       "3        4   True        1            34     671      20          5      True   \n",
+       "4        5  False        0            44     728      17          5     False   \n",
+       "...    ...    ...      ...           ...     ...     ...        ...       ...   \n",
+       "1747  1748   True        1            18     961      27          4     False   \n",
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+       "1751  1752   True        1            13    1339      77          4     False   \n",
+       "\n",
+       "      temperature  resistance  trt  outcome  \n",
+       "0            21.1          59    1       33  \n",
+       "1            26.5          73    0       42  \n",
+       "2            25.6          65    0       80  \n",
+       "3            21.3          46    1       34  \n",
+       "4            19.2          54    0       44  \n",
+       "...           ...         ...  ...      ...  \n",
+       "1747         22.1          27    1       18  \n",
+       "1748         30.7          55    0       49  \n",
+       "1749         21.4          52    0       17  \n",
+       "1750         27.4          62    0       46  \n",
+       "1751         27.7          44    1       13  \n",
+       "\n",
+       "[1752 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 246,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nets_df = pd.read_csv(\"../../../causalpy/data/nets_df.csv\")\n",
+    "nets_df[\"trt\"] = nets_df[\"net_num\"]\n",
+    "nets_df[\"outcome\"] = nets_df[\"malaria_risk\"]\n",
+    "nets_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 247,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n"
+     ]
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+    "coords = {\n",
+    "    \"betas\": [\"trt\", \"income\", \"temperature\", \"health\"],\n",
+    "    \"betas_trt\": [\"income\", \"temperature\", \"health\"],\n",
+    "    \"obs\": range(nets_df.shape[0]),\n",
+    "}\n",
+    "\n",
+    "N = nets_df.shape[0]\n",
+    "X_trt = nets_df[[\"income\", \"temperature\", \"health\"]].values\n",
+    "X_outcome = nets_df[[\"trt\", \"income\", \"temperature\", \"health\"]].values\n",
+    "T_data = nets_df[\"trt\"].values\n",
+    "Y_data = nets_df[\"outcome\"].values\n",
+    "\n",
+    "priors = {\"beta_\": [0, 5], \"beta_trt\": [0, 5]}\n",
+    "net_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
+    "\n",
+    "pm.model_to_graphviz(net_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 248,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_, beta_, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "bcb431a7afcf418f8a1cb9b667343491",
+       "version_major": 2,
+       "version_minor": 0
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+      "text/plain": [
+       "Output()"
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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 100 seconds.\n"
+     ]
+    }
+   ],
+   "source": [
+    "with net_model:\n",
+    "    idata_net = pm.sample(tune=2000, target_accept=0.97)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 249,
+   "metadata": {},
+   "outputs": [
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+       "      <td>0.014</td>\n",
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+       "      <td>1.0</td>\n",
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+       "    <tr>\n",
+       "      <th>beta_ps[2]</th>\n",
+       "      <td>0.427</td>\n",
+       "      <td>0.967</td>\n",
+       "      <td>-1.455</td>\n",
+       "      <td>2.182</td>\n",
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+       "      <th>beta_ps[3]</th>\n",
+       "      <td>0.519</td>\n",
+       "      <td>0.966</td>\n",
+       "      <td>-1.243</td>\n",
+       "      <td>2.353</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>3763.0</td>\n",
+       "      <td>2926.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[4]</th>\n",
+       "      <td>0.584</td>\n",
+       "      <td>0.980</td>\n",
+       "      <td>-1.241</td>\n",
+       "      <td>2.441</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>4084.0</td>\n",
+       "      <td>3062.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[5]</th>\n",
+       "      <td>0.997</td>\n",
+       "      <td>0.941</td>\n",
+       "      <td>-0.765</td>\n",
+       "      <td>2.751</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>3495.0</td>\n",
+       "      <td>2891.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[6]</th>\n",
+       "      <td>0.923</td>\n",
+       "      <td>0.957</td>\n",
+       "      <td>-0.773</td>\n",
+       "      <td>2.791</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>3838.0</td>\n",
+       "      <td>3188.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[7]</th>\n",
+       "      <td>0.972</td>\n",
+       "      <td>0.957</td>\n",
+       "      <td>-0.791</td>\n",
+       "      <td>2.779</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>3724.0</td>\n",
+       "      <td>3039.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[8]</th>\n",
+       "      <td>0.720</td>\n",
+       "      <td>0.962</td>\n",
+       "      <td>-0.983</td>\n",
+       "      <td>2.651</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>3872.0</td>\n",
+       "      <td>2796.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[9]</th>\n",
+       "      <td>0.586</td>\n",
+       "      <td>0.961</td>\n",
+       "      <td>-1.309</td>\n",
+       "      <td>2.315</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>4312.0</td>\n",
+       "      <td>2762.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[10]</th>\n",
+       "      <td>0.506</td>\n",
+       "      <td>0.969</td>\n",
+       "      <td>-1.379</td>\n",
+       "      <td>2.276</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>3284.0</td>\n",
+       "      <td>2918.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[11]</th>\n",
+       "      <td>0.433</td>\n",
+       "      <td>0.982</td>\n",
+       "      <td>-1.417</td>\n",
+       "      <td>2.299</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>3976.0</td>\n",
+       "      <td>2958.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[12]</th>\n",
+       "      <td>0.502</td>\n",
+       "      <td>0.990</td>\n",
+       "      <td>-1.421</td>\n",
+       "      <td>2.222</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>3434.0</td>\n",
+       "      <td>2656.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[13]</th>\n",
+       "      <td>0.001</td>\n",
+       "      <td>1.008</td>\n",
+       "      <td>-1.923</td>\n",
+       "      <td>1.889</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>3865.0</td>\n",
+       "      <td>2865.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
+       "beta_[trt]         -9.462  0.440 -10.268   -8.662      0.007    0.005   \n",
+       "beta_[income]      -0.044  0.002  -0.047   -0.040      0.000    0.000   \n",
+       "beta_[temperature]  2.340  0.045   2.262    2.430      0.001    0.001   \n",
+       "beta_[health]       0.008  0.018  -0.025    0.042      0.000    0.000   \n",
+       "beta_ps[0]         -0.024  0.966  -1.878    1.699      0.014    0.015   \n",
+       "beta_ps[1]          0.175  0.966  -1.589    2.086      0.015    0.014   \n",
+       "beta_ps[2]          0.427  0.967  -1.455    2.182      0.015    0.015   \n",
+       "beta_ps[3]          0.519  0.966  -1.243    2.353      0.016    0.013   \n",
+       "beta_ps[4]          0.584  0.980  -1.241    2.441      0.015    0.013   \n",
+       "beta_ps[5]          0.997  0.941  -0.765    2.751      0.016    0.012   \n",
+       "beta_ps[6]          0.923  0.957  -0.773    2.791      0.015    0.012   \n",
+       "beta_ps[7]          0.972  0.957  -0.791    2.779      0.016    0.012   \n",
+       "beta_ps[8]          0.720  0.962  -0.983    2.651      0.015    0.013   \n",
+       "beta_ps[9]          0.586  0.961  -1.309    2.315      0.015    0.013   \n",
+       "beta_ps[10]         0.506  0.969  -1.379    2.276      0.017    0.014   \n",
+       "beta_ps[11]         0.433  0.982  -1.417    2.299      0.016    0.013   \n",
+       "beta_ps[12]         0.502  0.990  -1.421    2.222      0.017    0.015   \n",
+       "beta_ps[13]         0.001  1.008  -1.923    1.889      0.016    0.015   \n",
+       "\n",
+       "                    ess_bulk  ess_tail  r_hat  \n",
+       "beta_[trt]            4147.0    3036.0    1.0  \n",
+       "beta_[income]         2086.0    2376.0    1.0  \n",
+       "beta_[temperature]    2497.0    2791.0    1.0  \n",
+       "beta_[health]         2515.0    2726.0    1.0  \n",
+       "beta_ps[0]            4606.0    3433.0    1.0  \n",
+       "beta_ps[1]            4397.0    3169.0    1.0  \n",
+       "beta_ps[2]            4161.0    2692.0    1.0  \n",
+       "beta_ps[3]            3763.0    2926.0    1.0  \n",
+       "beta_ps[4]            4084.0    3062.0    1.0  \n",
+       "beta_ps[5]            3495.0    2891.0    1.0  \n",
+       "beta_ps[6]            3838.0    3188.0    1.0  \n",
+       "beta_ps[7]            3724.0    3039.0    1.0  \n",
+       "beta_ps[8]            3872.0    2796.0    1.0  \n",
+       "beta_ps[9]            4312.0    2762.0    1.0  \n",
+       "beta_ps[10]           3284.0    2918.0    1.0  \n",
+       "beta_ps[11]           3976.0    2958.0    1.0  \n",
+       "beta_ps[12]           3434.0    2656.0    1.0  \n",
+       "beta_ps[13]           3865.0    2865.0    1.0  "
+      ]
+     },
+     "execution_count": 249,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(idata_net, var_names=[\"beta_\", \"beta_ps\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## LaLonde Example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 250,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lalonde = pd.read_csv(\n",
+    "    \"https://vincentarelbundock.github.io/Rdatasets/csv/MatchIt/lalonde.csv\"\n",
+    ")\n",
+    "lalonde[[\"hispan\", \"white\"]] = pd.get_dummies(lalonde[\"race\"], drop_first=True)\n",
+    "lalonde.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 251,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n"
+     ]
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+       "<!-- p&#45;&gt;like -->\n",
+       "<g id=\"edge10\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M155.95,-267.51C165.7,-253.44 178.5,-236.59 192,-223.32 198.81,-216.62 206.62,-210.14 214.43,-204.23\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"216.31,-207.19 222.32,-198.46 212.18,-201.54 216.31,-207.19\"/>\n",
+       "</g>\n",
+       "<!-- Y -->\n",
+       "<g id=\"node5\" class=\"node\">\n",
+       "<title>Y</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M273,-98C273,-98 243,-98 243,-98 237,-98 231,-92 231,-86 231,-86 231,-52.5 231,-52.5 231,-46.5 237,-40.5 243,-40.5 243,-40.5 273,-40.5 273,-40.5 279,-40.5 285,-46.5 285,-52.5 285,-52.5 285,-86 285,-86 285,-92 279,-98 273,-98\"/>\n",
+       "<text text-anchor=\"middle\" x=\"258\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
+       "<text text-anchor=\"middle\" x=\"258\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"258\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- t_pred&#45;&gt;T -->\n",
+       "<g id=\"edge1\" class=\"edge\">\n",
+       "<title>t_pred&#45;&gt;T</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M140,-133.68C140,-125.83 140,-117.6 140,-109.76\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"143.5,-109.79 140,-99.79 136.5,-109.79 143.5,-109.79\"/>\n",
+       "</g>\n",
+       "<!-- spline_features -->\n",
+       "<g id=\"node7\" class=\"node\">\n",
+       "<title>spline_features</title>\n",
+       "<polygon fill=\"none\" stroke=\"black\" points=\"298.88,-325.23 201.12,-325.23 201.12,-267.73 298.88,-267.73 298.88,-325.23\"/>\n",
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+       "<text text-anchor=\"middle\" x=\"250\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "</g>\n",
+       "<!-- spline_features&#45;&gt;like -->\n",
+       "<g id=\"edge13\" class=\"edge\">\n",
+       "<title>spline_features&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M251.88,-267.38C252.68,-255.28 253.66,-240.73 254.58,-226.83\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"258.07,-227.09 255.25,-216.88 251.09,-226.62 258.07,-227.09\"/>\n",
+       "</g>\n",
+       "<!-- like&#45;&gt;Y -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>like&#45;&gt;Y</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M258,-133.68C258,-125.83 258,-117.6 258,-109.76\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"261.5,-109.79 258,-99.79 254.5,-109.79 261.5,-109.79\"/>\n",
+       "</g>\n",
+       "<!-- beta_trt_ -->\n",
+       "<g id=\"node9\" class=\"node\">\n",
+       "<title>beta_trt_</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"139\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"139\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">beta_trt_</text>\n",
+       "<text text-anchor=\"middle\" x=\"139\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"139\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_trt_&#45;&gt;p -->\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
+       "<title>beta_trt_&#45;&gt;p</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M138.69,-385.2C138.57,-369.8 138.43,-352.24 138.31,-336.9\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"141.81,-337.17 138.23,-327.19 134.81,-337.22 141.81,-337.17\"/>\n",
+       "</g>\n",
+       "<!-- beta_ -->\n",
+       "<g id=\"node10\" class=\"node\">\n",
+       "<title>beta_</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"468\" cy=\"-296.48\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"468\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">beta_</text>\n",
+       "<text text-anchor=\"middle\" x=\"468\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"468\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_&#45;&gt;like -->\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
+       "<title>beta_&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M448.83,-260.36C440.06,-247.11 428.57,-232.93 415,-223.32 383.91,-201.31 342.46,-189.29 309.95,-182.83\"/>\n",
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+       "</g>\n",
+       "<!-- beta_ps -->\n",
+       "<g id=\"node11\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"250\" cy=\"-426.29\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_ps&#45;&gt;spline_features -->\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
+       "<title>beta_ps&#45;&gt;spline_features</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M250,-385.2C250,-369.8 250,-352.24 250,-336.9\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"253.5,-337.19 250,-327.19 246.5,-337.19 253.5,-337.19\"/>\n",
+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node12\" class=\"node\">\n",
+       "<title>alpha_outcome</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"597\" cy=\"-296.48\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"597\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"597\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"597\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
+       "<title>alpha_outcome&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M567.38,-259.55C554.49,-246.17 538.36,-232.12 521,-223.32 453.58,-189.12 365.46,-179.15 310.29,-176.42\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"310.69,-172.93 300.55,-176 310.39,-179.92 310.69,-172.93\"/>\n",
+       "</g>\n",
+       "<!-- sigma -->\n",
+       "<g id=\"node13\" class=\"node\">\n",
+       "<title>sigma</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"743\" cy=\"-296.48\" rx=\"57.45\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"743\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text text-anchor=\"middle\" x=\"743\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"743\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Exponential</text>\n",
+       "</g>\n",
+       "<!-- sigma&#45;&gt;like -->\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
+       "<title>sigma&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M718.23,-259.36C706.98,-245.79 692.48,-231.65 676,-223.32 613.2,-191.58 408.17,-180.62 310.56,-177.14\"/>\n",
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+       "</g>\n",
+       "<!-- alpha_trt -->\n",
+       "<g id=\"node14\" class=\"node\">\n",
+       "<title>alpha_trt</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"354\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"354\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
+       "<text text-anchor=\"middle\" x=\"354\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"354\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_trt&#45;&gt;p -->\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
+       "<title>alpha_trt&#45;&gt;p</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M336.81,-388.61C328.55,-375.13 317.3,-361.2 303,-353.13 281.46,-340.98 214.8,-354.71 192,-345.13 184.87,-342.14 178.04,-337.82 171.77,-332.98\"/>\n",
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+       "</g>\n",
+       "</g>\n",
+       "</svg>\n"
+      ],
+      "text/plain": [
+       "<graphviz.graphs.Digraph at 0x30cb63130>"
+      ]
+     },
+     "execution_count": 251,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "coords = {\n",
+    "    \"betas\": [\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
+    "    \"betas_trt\": [\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
+    "    \"obs\": range(lalonde.shape[0]),\n",
+    "}\n",
+    "\n",
+    "N = lalonde.shape[0]\n",
+    "X_trt = (\n",
+    "    lalonde[[\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
+    "    .astype(np.int32)\n",
+    "    .values\n",
+    ")\n",
+    "X_outcome = (\n",
+    "    lalonde[[\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
+    "    .astype(np.int32)\n",
+    "    .values\n",
+    ")\n",
+    "T_data = lalonde[\"treat\"].values\n",
+    "Y_data = lalonde[\"re78\"].values\n",
+    "\n",
+    "priors = {\"beta_\": [0, 4000], \"beta_trt\": [0, 4000]}\n",
+    "\n",
+    "lalonde_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors)\n",
+    "\n",
+    "pm.model_to_graphviz(lalonde_model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 252,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "24868856b49743f9804b3055ded06a58",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/6000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e694effd671545e58a64a5ab491509af",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/6000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a73a3e33fda74d73b4a4fc9e8b22f640",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/6000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "43060c054d91489da154002155ff876e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/6000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with lalonde_model:\n",
+    "    idata_lalonde = pm.sample(tune=5000, nuts_sampler=\"numpyro\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 253,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>beta_[treat]</th>\n",
+       "      <td>1047.659</td>\n",
+       "      <td>335.777</td>\n",
+       "      <td>391.341</td>\n",
+       "      <td>1651.536</td>\n",
+       "      <td>6.156</td>\n",
+       "      <td>4.353</td>\n",
+       "      <td>2985.0</td>\n",
+       "      <td>2999.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>40.726</td>\n",
+       "      <td>11.788</td>\n",
+       "      <td>18.818</td>\n",
+       "      <td>62.851</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>0.153</td>\n",
+       "      <td>2996.0</td>\n",
+       "      <td>2626.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[educ]</th>\n",
+       "      <td>391.866</td>\n",
+       "      <td>30.432</td>\n",
+       "      <td>335.873</td>\n",
+       "      <td>449.219</td>\n",
+       "      <td>0.598</td>\n",
+       "      <td>0.425</td>\n",
+       "      <td>2589.0</td>\n",
+       "      <td>2699.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[hispan]</th>\n",
+       "      <td>1898.338</td>\n",
+       "      <td>414.456</td>\n",
+       "      <td>1104.615</td>\n",
+       "      <td>2642.526</td>\n",
+       "      <td>6.980</td>\n",
+       "      <td>4.992</td>\n",
+       "      <td>3525.0</td>\n",
+       "      <td>3133.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[white]</th>\n",
+       "      <td>1387.565</td>\n",
+       "      <td>327.260</td>\n",
+       "      <td>805.609</td>\n",
+       "      <td>2027.095</td>\n",
+       "      <td>6.101</td>\n",
+       "      <td>4.337</td>\n",
+       "      <td>2870.0</td>\n",
+       "      <td>3163.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[married]</th>\n",
+       "      <td>2121.551</td>\n",
+       "      <td>280.729</td>\n",
+       "      <td>1610.405</td>\n",
+       "      <td>2665.160</td>\n",
+       "      <td>4.083</td>\n",
+       "      <td>2.904</td>\n",
+       "      <td>4738.0</td>\n",
+       "      <td>2882.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[nodegree]</th>\n",
+       "      <td>-651.456</td>\n",
+       "      <td>238.687</td>\n",
+       "      <td>-1093.571</td>\n",
+       "      <td>-190.758</td>\n",
+       "      <td>3.659</td>\n",
+       "      <td>2.614</td>\n",
+       "      <td>4258.0</td>\n",
+       "      <td>3304.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>-0.010</td>\n",
+       "      <td>1.013</td>\n",
+       "      <td>-1.862</td>\n",
+       "      <td>1.913</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>5914.0</td>\n",
+       "      <td>3225.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>0.021</td>\n",
+       "      <td>1.003</td>\n",
+       "      <td>-1.813</td>\n",
+       "      <td>1.892</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>6544.0</td>\n",
+       "      <td>3084.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[2]</th>\n",
+       "      <td>0.012</td>\n",
+       "      <td>1.002</td>\n",
+       "      <td>-1.857</td>\n",
+       "      <td>1.878</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>6876.0</td>\n",
+       "      <td>3090.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[3]</th>\n",
+       "      <td>-0.006</td>\n",
+       "      <td>0.980</td>\n",
+       "      <td>-1.827</td>\n",
+       "      <td>1.802</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>6134.0</td>\n",
+       "      <td>3445.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[4]</th>\n",
+       "      <td>0.007</td>\n",
+       "      <td>0.982</td>\n",
+       "      <td>-1.950</td>\n",
+       "      <td>1.722</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>5761.0</td>\n",
+       "      <td>3106.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[5]</th>\n",
+       "      <td>0.011</td>\n",
+       "      <td>1.002</td>\n",
+       "      <td>-1.809</td>\n",
+       "      <td>1.854</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>7348.0</td>\n",
+       "      <td>2651.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[6]</th>\n",
+       "      <td>0.020</td>\n",
+       "      <td>0.967</td>\n",
+       "      <td>-1.676</td>\n",
+       "      <td>2.011</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>6955.0</td>\n",
+       "      <td>2958.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[7]</th>\n",
+       "      <td>-0.004</td>\n",
+       "      <td>0.993</td>\n",
+       "      <td>-1.958</td>\n",
+       "      <td>1.732</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>6359.0</td>\n",
+       "      <td>3131.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[8]</th>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.998</td>\n",
+       "      <td>-1.854</td>\n",
+       "      <td>1.806</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>5722.0</td>\n",
+       "      <td>2873.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[9]</th>\n",
+       "      <td>-0.010</td>\n",
+       "      <td>0.988</td>\n",
+       "      <td>-1.836</td>\n",
+       "      <td>1.803</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>6470.0</td>\n",
+       "      <td>3076.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[10]</th>\n",
+       "      <td>0.003</td>\n",
+       "      <td>1.019</td>\n",
+       "      <td>-1.948</td>\n",
+       "      <td>1.801</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>6408.0</td>\n",
+       "      <td>3136.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[11]</th>\n",
+       "      <td>0.002</td>\n",
+       "      <td>1.030</td>\n",
+       "      <td>-1.908</td>\n",
+       "      <td>1.908</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>6741.0</td>\n",
+       "      <td>2593.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[12]</th>\n",
+       "      <td>-0.018</td>\n",
+       "      <td>0.998</td>\n",
+       "      <td>-1.921</td>\n",
+       "      <td>1.784</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.019</td>\n",
+       "      <td>6165.0</td>\n",
+       "      <td>2720.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[13]</th>\n",
+       "      <td>-0.015</td>\n",
+       "      <td>0.988</td>\n",
+       "      <td>-1.802</td>\n",
+       "      <td>1.976</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>5923.0</td>\n",
+       "      <td>2679.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     mean       sd    hdi_3%   hdi_97%  mcse_mean  mcse_sd  \\\n",
+       "beta_[treat]     1047.659  335.777   391.341  1651.536      6.156    4.353   \n",
+       "beta_[age]         40.726   11.788    18.818    62.851      0.216    0.153   \n",
+       "beta_[educ]       391.866   30.432   335.873   449.219      0.598    0.425   \n",
+       "beta_[hispan]    1898.338  414.456  1104.615  2642.526      6.980    4.992   \n",
+       "beta_[white]     1387.565  327.260   805.609  2027.095      6.101    4.337   \n",
+       "beta_[married]   2121.551  280.729  1610.405  2665.160      4.083    2.904   \n",
+       "beta_[nodegree]  -651.456  238.687 -1093.571  -190.758      3.659    2.614   \n",
+       "beta_ps[0]         -0.010    1.013    -1.862     1.913      0.013    0.017   \n",
+       "beta_ps[1]          0.021    1.003    -1.813     1.892      0.012    0.017   \n",
+       "beta_ps[2]          0.012    1.002    -1.857     1.878      0.012    0.016   \n",
+       "beta_ps[3]         -0.006    0.980    -1.827     1.802      0.013    0.015   \n",
+       "beta_ps[4]          0.007    0.982    -1.950     1.722      0.013    0.016   \n",
+       "beta_ps[5]          0.011    1.002    -1.809     1.854      0.012    0.018   \n",
+       "beta_ps[6]          0.020    0.967    -1.676     2.011      0.012    0.017   \n",
+       "beta_ps[7]         -0.004    0.993    -1.958     1.732      0.012    0.017   \n",
+       "beta_ps[8]          0.002    0.998    -1.854     1.806      0.013    0.018   \n",
+       "beta_ps[9]         -0.010    0.988    -1.836     1.803      0.012    0.015   \n",
+       "beta_ps[10]         0.003    1.019    -1.948     1.801      0.013    0.017   \n",
+       "beta_ps[11]         0.002    1.030    -1.908     1.908      0.013    0.017   \n",
+       "beta_ps[12]        -0.018    0.998    -1.921     1.784      0.013    0.019   \n",
+       "beta_ps[13]        -0.015    0.988    -1.802     1.976      0.013    0.018   \n",
+       "\n",
+       "                 ess_bulk  ess_tail  r_hat  \n",
+       "beta_[treat]       2985.0    2999.0    1.0  \n",
+       "beta_[age]         2996.0    2626.0    1.0  \n",
+       "beta_[educ]        2589.0    2699.0    1.0  \n",
+       "beta_[hispan]      3525.0    3133.0    1.0  \n",
+       "beta_[white]       2870.0    3163.0    1.0  \n",
+       "beta_[married]     4738.0    2882.0    1.0  \n",
+       "beta_[nodegree]    4258.0    3304.0    1.0  \n",
+       "beta_ps[0]         5914.0    3225.0    1.0  \n",
+       "beta_ps[1]         6544.0    3084.0    1.0  \n",
+       "beta_ps[2]         6876.0    3090.0    1.0  \n",
+       "beta_ps[3]         6134.0    3445.0    1.0  \n",
+       "beta_ps[4]         5761.0    3106.0    1.0  \n",
+       "beta_ps[5]         7348.0    2651.0    1.0  \n",
+       "beta_ps[6]         6955.0    2958.0    1.0  \n",
+       "beta_ps[7]         6359.0    3131.0    1.0  \n",
+       "beta_ps[8]         5722.0    2873.0    1.0  \n",
+       "beta_ps[9]         6470.0    3076.0    1.0  \n",
+       "beta_ps[10]        6408.0    3136.0    1.0  \n",
+       "beta_ps[11]        6741.0    2593.0    1.0  \n",
+       "beta_ps[12]        6165.0    2720.0    1.0  \n",
+       "beta_ps[13]        5923.0    2679.0    1.0  "
+      ]
+     },
+     "execution_count": 253,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(idata_lalonde, var_names=[\"beta_\", \"beta_ps\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 254,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9deddaa726e94798adb66acc409c9b74",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "af540d2735134f3db527108e43ebc0b3",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X_outcome_trt = X_outcome.copy()\n",
+    "X_outcome_trt[:, 0] = 1\n",
+    "X_outcome_trt = X_outcome_trt.astype(np.int32)\n",
+    "\n",
+    "X_outcome_ntrt = X_outcome.copy()\n",
+    "X_outcome_ntrt[:, 0] = 0\n",
+    "X_outcome_ntrt = X_outcome_ntrt.astype(np.int32)\n",
+    "\n",
+    "\n",
+    "with pm.do(\n",
+    "    lalonde_model,\n",
+    "    {\"T\": np.ones(len(lalonde), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
+    "    prune_vars=True,\n",
+    ") as treatment_model:\n",
+    "    idata_trt = pm.sample_posterior_predictive(idata_lalonde, var_names=[\"like\", \"p\"])\n",
+    "\n",
+    "with pm.do(\n",
+    "    lalonde_model,\n",
+    "    {\"T\": np.zeros(len(lalonde), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
+    "    prune_vars=True,\n",
+    ") as ntreatment_model:\n",
+    "    idata_ntrt = pm.sample_posterior_predictive(idata_lalonde, var_names=[\"like\", \"p\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 255,
+   "metadata": {},
+   "outputs": [
+    {
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+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(1049.17877379)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6e17823a-95c7-4153-9de6-7164140ffd01' class='xr-array-in' type='checkbox' checked><label for='section-6e17823a-95c7-4153-9de6-7164140ffd01' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.049e+03</span></div><div class='xr-array-data'><pre>array(1049.17877379)</pre></div></div></li><li class='xr-section-item'><input id='section-3257fe8b-8da5-484a-b59d-0888d63a289e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3257fe8b-8da5-484a-b59d-0888d63a289e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d9248f35-c7b9-4547-b81d-8d4ecc1e3cf8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d9248f35-c7b9-4547-b81d-8d4ecc1e3cf8' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3351c215-58b8-43ae-b987-3ba5a9451021' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3351c215-58b8-43ae-b987-3ba5a9451021' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(1049.17877379)"
       ]
      },
+     "execution_count": 255,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "with model:\n",
-    "    idata = pm.sample_prior_predictive()\n",
-    "    idata.extend(pm.sample(tune=2000, target_accept=0.95, nuts_sampler=\"numpyro\"))"
+    "(\n",
+    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
+    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 256,
    "metadata": {},
    "outputs": [
     {
      "data": {
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-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>alpha_trt</th>\n",
-       "      <td>-0.762</td>\n",
-       "      <td>0.116</td>\n",
-       "      <td>-0.976</td>\n",
-       "      <td>-0.546</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>2813.0</td>\n",
-       "      <td>2718.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[x1]</th>\n",
-       "      <td>0.333</td>\n",
-       "      <td>0.081</td>\n",
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-       "      <td>3009.0</td>\n",
-       "      <td>1.0</td>\n",
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-       "    <tr>\n",
-       "      <th>beta_trt_[x2]</th>\n",
-       "      <td>1.200</td>\n",
-       "      <td>0.121</td>\n",
-       "      <td>0.976</td>\n",
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-       "      <td>2734.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>3.814</td>\n",
-       "      <td>0.173</td>\n",
-       "      <td>3.474</td>\n",
-       "      <td>4.117</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>1569.0</td>\n",
-       "      <td>1683.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[trt]</th>\n",
-       "      <td>1.913</td>\n",
-       "      <td>0.075</td>\n",
-       "      <td>1.770</td>\n",
-       "      <td>2.056</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>3594.0</td>\n",
-       "      <td>2778.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[x1]</th>\n",
-       "      <td>0.964</td>\n",
-       "      <td>0.040</td>\n",
-       "      <td>0.889</td>\n",
-       "      <td>1.039</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2296.0</td>\n",
-       "      <td>2442.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[x2]</th>\n",
-       "      <td>0.912</td>\n",
-       "      <td>0.103</td>\n",
-       "      <td>0.721</td>\n",
-       "      <td>1.103</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>1886.0</td>\n",
-       "      <td>2009.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>0.649</td>\n",
-       "      <td>0.451</td>\n",
-       "      <td>-0.182</td>\n",
-       "      <td>1.495</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>1545.0</td>\n",
-       "      <td>1586.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>          <td>re78</td>       <th>  R-squared:         </th> <td>   0.071</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.060</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   6.594</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Tue, 08 Jul 2025</td> <th>  Prob (F-statistic):</th> <td>1.59e-07</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>12:37:31</td>     <th>  Log-Likelihood:    </th> <td> -6324.3</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.266e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>   606</td>      <th>  BIC:               </th> <td>1.270e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>     7</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
        "</table>\n",
-       "</div>"
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "         <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>      <td>-2352.7506</td> <td> 2540.562</td> <td>   -0.926</td> <td> 0.355</td> <td>-7342.126</td> <td> 2636.625</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>hispan[T.True]</th> <td> 2173.6001</td> <td> 1059.746</td> <td>    2.051</td> <td> 0.041</td> <td>   92.380</td> <td> 4254.820</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>white[T.True]</th>  <td> 1538.0720</td> <td>  798.864</td> <td>    1.925</td> <td> 0.055</td> <td>  -30.807</td> <td> 3106.951</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>treat</th>          <td> 1163.9224</td> <td>  811.617</td> <td>    1.434</td> <td> 0.152</td> <td> -430.001</td> <td> 2757.845</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>age</th>            <td>   55.8953</td> <td>   32.831</td> <td>    1.703</td> <td> 0.089</td> <td>   -8.582</td> <td>  120.372</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>educ</th>           <td>  525.5796</td> <td>  164.381</td> <td>    3.197</td> <td> 0.001</td> <td>  202.753</td> <td>  848.406</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>married</th>        <td> 2136.9467</td> <td>  679.736</td> <td>    3.144</td> <td> 0.002</td> <td>  802.022</td> <td> 3471.871</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>nodegree</th>       <td>  -36.4776</td> <td>  882.377</td> <td>   -0.041</td> <td> 0.967</td> <td>-1769.367</td> <td> 1696.411</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>201.275</td> <th>  Durbin-Watson:     </th> <td>   1.903</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 848.900</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td> 1.446</td>  <th>  Prob(JB):          </th> <td>4.61e-185</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 7.982</td>  <th>  Cond. No.          </th> <td>    279.</td> \n",
+       "</tr>\n",
+       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+      ],
+      "text/latex": [
+       "\\begin{center}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\toprule\n",
+       "\\textbf{Dep. Variable:}    &       re78       & \\textbf{  R-squared:         } &     0.071   \\\\\n",
+       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.060   \\\\\n",
+       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     6.594   \\\\\n",
+       "\\textbf{Date:}             & Tue, 08 Jul 2025 & \\textbf{  Prob (F-statistic):} &  1.59e-07   \\\\\n",
+       "\\textbf{Time:}             &     12:37:31     & \\textbf{  Log-Likelihood:    } &   -6324.3   \\\\\n",
+       "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.266e+04   \\\\\n",
+       "\\textbf{Df Residuals:}     &         606      & \\textbf{  BIC:               } & 1.270e+04   \\\\\n",
+       "\\textbf{Df Model:}         &           7      & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lcccccc}\n",
+       "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
+       "\\midrule\n",
+       "\\textbf{Intercept}      &   -2352.7506  &     2540.562     &    -0.926  &         0.355        &    -7342.126    &     2636.625     \\\\\n",
+       "\\textbf{hispan[T.True]} &    2173.6001  &     1059.746     &     2.051  &         0.041        &       92.380    &     4254.820     \\\\\n",
+       "\\textbf{white[T.True]}  &    1538.0720  &      798.864     &     1.925  &         0.055        &      -30.807    &     3106.951     \\\\\n",
+       "\\textbf{treat}          &    1163.9224  &      811.617     &     1.434  &         0.152        &     -430.001    &     2757.845     \\\\\n",
+       "\\textbf{age}            &      55.8953  &       32.831     &     1.703  &         0.089        &       -8.582    &      120.372     \\\\\n",
+       "\\textbf{educ}           &     525.5796  &      164.381     &     3.197  &         0.001        &      202.753    &      848.406     \\\\\n",
+       "\\textbf{married}        &    2136.9467  &      679.736     &     3.144  &         0.002        &      802.022    &     3471.871     \\\\\n",
+       "\\textbf{nodegree}       &     -36.4776  &      882.377     &    -0.041  &         0.967        &    -1769.367    &     1696.411     \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\textbf{Omnibus:}       & 201.275 & \\textbf{  Durbin-Watson:     } &     1.903  \\\\\n",
+       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &   848.900  \\\\\n",
+       "\\textbf{Skew:}          &   1.446 & \\textbf{  Prob(JB):          } & 4.61e-185  \\\\\n",
+       "\\textbf{Kurtosis:}      &   7.982 & \\textbf{  Cond. No.          } &      279.  \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "%\\caption{OLS Regression Results}\n",
+       "\\end{center}\n",
+       "\n",
+       "Notes: \\newline\n",
+       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
       ],
       "text/plain": [
-       "                mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "alpha_trt     -0.762  0.116  -0.976   -0.546      0.002    0.002    2813.0   \n",
-       "beta_trt_[x1]  0.333  0.081   0.184    0.488      0.001    0.001    3493.0   \n",
-       "beta_trt_[x2]  1.200  0.121   0.976    1.423      0.002    0.002    2477.0   \n",
-       "alpha_outcome  3.814  0.173   3.474    4.117      0.004    0.003    1569.0   \n",
-       "beta_[trt]     1.913  0.075   1.770    2.056      0.001    0.001    3594.0   \n",
-       "beta_[x1]      0.964  0.040   0.889    1.039      0.001    0.001    2296.0   \n",
-       "beta_[x2]      0.912  0.103   0.721    1.103      0.002    0.002    1886.0   \n",
-       "beta_ps        0.649  0.451  -0.182    1.495      0.011    0.009    1545.0   \n",
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:                   re78   R-squared:                       0.071\n",
+       "Model:                            OLS   Adj. R-squared:                  0.060\n",
+       "Method:                 Least Squares   F-statistic:                     6.594\n",
+       "Date:                Tue, 08 Jul 2025   Prob (F-statistic):           1.59e-07\n",
+       "Time:                        12:37:31   Log-Likelihood:                -6324.3\n",
+       "No. Observations:                 614   AIC:                         1.266e+04\n",
+       "Df Residuals:                     606   BIC:                         1.270e+04\n",
+       "Df Model:                           7                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "==================================================================================\n",
+       "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "----------------------------------------------------------------------------------\n",
+       "Intercept      -2352.7506   2540.562     -0.926      0.355   -7342.126    2636.625\n",
+       "hispan[T.True]  2173.6001   1059.746      2.051      0.041      92.380    4254.820\n",
+       "white[T.True]   1538.0720    798.864      1.925      0.055     -30.807    3106.951\n",
+       "treat           1163.9224    811.617      1.434      0.152    -430.001    2757.845\n",
+       "age               55.8953     32.831      1.703      0.089      -8.582     120.372\n",
+       "educ             525.5796    164.381      3.197      0.001     202.753     848.406\n",
+       "married         2136.9467    679.736      3.144      0.002     802.022    3471.871\n",
+       "nodegree         -36.4776    882.377     -0.041      0.967   -1769.367    1696.411\n",
+       "==============================================================================\n",
+       "Omnibus:                      201.275   Durbin-Watson:                   1.903\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              848.900\n",
+       "Skew:                           1.446   Prob(JB):                    4.61e-185\n",
+       "Kurtosis:                       7.982   Cond. No.                         279.\n",
+       "==============================================================================\n",
        "\n",
-       "               ess_tail  r_hat  \n",
-       "alpha_trt        2718.0    1.0  \n",
-       "beta_trt_[x1]    3009.0    1.0  \n",
-       "beta_trt_[x2]    2734.0    1.0  \n",
-       "alpha_outcome    1683.0    1.0  \n",
-       "beta_[trt]       2778.0    1.0  \n",
-       "beta_[x1]        2442.0    1.0  \n",
-       "beta_[x2]        2009.0    1.0  \n",
-       "beta_ps          1586.0    1.0  "
+       "Notes:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
       ]
      },
-     "execution_count": 7,
+     "execution_count": 256,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "az.summary(\n",
-    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
-    ")"
+    "import statsmodels.formula.api as smf\n",
+    "\n",
+    "res = smf.ols(\n",
+    "    \"re78 ~ treat + age + educ + hispan + white + married + nodegree\", lalonde\n",
+    ").fit()\n",
+    "res.summary()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 257,
    "metadata": {},
    "outputs": [
     {
@@ -780,7 +4589,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 257,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -792,32 +4601,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 258,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n"
+     ]
+    },
     {
      "data": {
       "text/latex": [
        "$$\n",
        "            \\begin{array}{rcl}\n",
-       "            \\text{beta\\_trt\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_ps} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_trt} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_outcome} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{sigma} &\\sim & \\operatorname{Exponential}(f())\\\\\\text{p} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{weighted\\_outcome} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{t\\_pred} &\\sim & \\operatorname{Bernoulli}(\\text{p})\\\\\\text{like} &\\sim & \\operatorname{Normal}(f(\\text{beta\\_},~\\text{alpha\\_outcome},~\\text{beta\\_ps},~\\text{beta\\_trt\\_},~\\text{alpha\\_trt}),~\\text{sigma})\n",
+       "            \\text{beta\\_trt\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_ps} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_trt} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_outcome} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{sigma} &\\sim & \\operatorname{Exponential}(f())\\\\\\text{p} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{spline\\_features} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_ps}))\\\\\\text{t\\_pred} &\\sim & \\operatorname{Bernoulli}(\\text{p})\\\\\\text{like} &\\sim & \\operatorname{Normal}(f(\\text{beta\\_},~\\text{alpha\\_outcome},~\\text{beta\\_ps},~\\text{beta\\_trt\\_},~\\text{alpha\\_trt}),~\\text{sigma})\n",
        "            \\end{array}\n",
        "            $$"
       ],
       "text/plain": [
-       "       beta_trt_ ~ Normal(0, 1)\n",
-       "           beta_ ~ Normal(0, 1)\n",
-       "         beta_ps ~ Normal(0, 1)\n",
-       "       alpha_trt ~ Normal(0, 1)\n",
-       "   alpha_outcome ~ Normal(0, 1)\n",
-       "           sigma ~ Exponential(f())\n",
-       "               p ~ Deterministic(f(beta_trt_, alpha_trt))\n",
-       "weighted_outcome ~ Deterministic(f(beta_trt_, alpha_trt))\n",
-       "          t_pred ~ Bernoulli(p)\n",
-       "            like ~ Normal(f(beta_, alpha_outcome, beta_ps, beta_trt_, alpha_trt), sigma)"
+       "      beta_trt_ ~ Normal(0, 1)\n",
+       "          beta_ ~ Normal(0, 1)\n",
+       "        beta_ps ~ Normal(0, 1)\n",
+       "      alpha_trt ~ Normal(0, 1)\n",
+       "  alpha_outcome ~ Normal(0, 1)\n",
+       "          sigma ~ Exponential(f())\n",
+       "              p ~ Deterministic(f(beta_trt_, alpha_trt))\n",
+       "spline_features ~ Deterministic(f(beta_ps))\n",
+       "         t_pred ~ Bernoulli(p)\n",
+       "           like ~ Normal(f(beta_, alpha_outcome, beta_ps, beta_trt_, alpha_trt), sigma)"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 258,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -849,7 +4666,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 259,
    "metadata": {},
    "outputs": [
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-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M439.88,-325.23C439.88,-325.23 384.12,-325.23 384.12,-325.23 378.12,-325.23 372.12,-319.23 372.12,-313.23 372.12,-313.23 372.12,-279.73 372.12,-279.73 372.12,-273.73 378.12,-267.73 384.12,-267.73 384.12,-267.73 439.88,-267.73 439.88,-267.73 445.88,-267.73 451.88,-273.73 451.88,-279.73 451.88,-279.73 451.88,-313.23 451.88,-313.23 451.88,-319.23 445.88,-325.23 439.88,-325.23\"/>\n",
-       "<text text-anchor=\"middle\" x=\"412\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">X_outcome</text>\n",
-       "<text text-anchor=\"middle\" x=\"412\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"412\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M390.88,-325.23C390.88,-325.23 335.12,-325.23 335.12,-325.23 329.12,-325.23 323.12,-319.23 323.12,-313.23 323.12,-313.23 323.12,-279.73 323.12,-279.73 323.12,-273.73 329.12,-267.73 335.12,-267.73 335.12,-267.73 390.88,-267.73 390.88,-267.73 396.88,-267.73 402.88,-273.73 402.88,-279.73 402.88,-279.73 402.88,-313.23 402.88,-313.23 402.88,-319.23 396.88,-325.23 390.88,-325.23\"/>\n",
+       "<text text-anchor=\"middle\" x=\"363\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">X_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"363\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"363\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node8\" class=\"node\">\n",
        "<title>like</title>\n",
-       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"307\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"307\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
-       "<text text-anchor=\"middle\" x=\"307\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"307\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"258\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"258\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
+       "<text text-anchor=\"middle\" x=\"258\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"258\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge10\" class=\"edge\">\n",
+       "<g id=\"edge12\" class=\"edge\">\n",
        "<title>X_outcome&#45;&gt;like</title>\n",
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-       "<!-- t_pred -->\n",
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-       "<title>t_pred</title>\n",
-       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"63\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"63\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
-       "<text text-anchor=\"middle\" x=\"63\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"63\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"299.87,-206.85 290.16,-202.6 295.1,-211.97 299.87,-206.85\"/>\n",
        "</g>\n",
        "<!-- T -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
+       "<g id=\"node3\" class=\"node\">\n",
        "<title>T</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M78,-98C78,-98 48,-98 48,-98 42,-98 36,-92 36,-86 36,-86 36,-52.5 36,-52.5 36,-46.5 42,-40.5 48,-40.5 48,-40.5 78,-40.5 78,-40.5 84,-40.5 90,-46.5 90,-52.5 90,-52.5 90,-86 90,-86 90,-92 84,-98 78,-98\"/>\n",
-       "<text text-anchor=\"middle\" x=\"63\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">T</text>\n",
-       "<text text-anchor=\"middle\" x=\"63\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"63\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
-       "</g>\n",
-       "<!-- t_pred&#45;&gt;T -->\n",
-       "<g id=\"edge1\" class=\"edge\">\n",
-       "<title>t_pred&#45;&gt;T</title>\n",
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-       "<polygon fill=\"black\" stroke=\"black\" points=\"66.5,-109.79 63,-99.79 59.5,-109.79 66.5,-109.79\"/>\n",
-       "</g>\n",
-       "<!-- Y -->\n",
-       "<g id=\"node8\" class=\"node\">\n",
-       "<title>Y</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M322,-98C322,-98 292,-98 292,-98 286,-98 280,-92 280,-86 280,-86 280,-52.5 280,-52.5 280,-46.5 286,-40.5 292,-40.5 292,-40.5 322,-40.5 322,-40.5 328,-40.5 334,-46.5 334,-52.5 334,-52.5 334,-86 334,-86 334,-92 328,-98 322,-98\"/>\n",
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-       "<text text-anchor=\"middle\" x=\"307\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"307\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M155,-98C155,-98 125,-98 125,-98 119,-98 113,-92 113,-86 113,-86 113,-52.5 113,-52.5 113,-46.5 119,-40.5 125,-40.5 125,-40.5 155,-40.5 155,-40.5 161,-40.5 167,-46.5 167,-52.5 167,-52.5 167,-86 167,-86 167,-92 161,-98 155,-98\"/>\n",
+       "<text text-anchor=\"middle\" x=\"140\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">T</text>\n",
+       "<text text-anchor=\"middle\" x=\"140\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"140\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
-       "<!-- like&#45;&gt;Y -->\n",
-       "<g id=\"edge2\" class=\"edge\">\n",
-       "<title>like&#45;&gt;Y</title>\n",
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-       "<polygon fill=\"black\" stroke=\"black\" points=\"310.5,-109.79 307,-99.79 303.5,-109.79 310.5,-109.79\"/>\n",
+       "<!-- t_pred -->\n",
+       "<g id=\"node6\" class=\"node\">\n",
+       "<title>t_pred</title>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"140\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"140\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
+       "<text text-anchor=\"middle\" x=\"140\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"140\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
        "</g>\n",
        "<!-- p&#45;&gt;t_pred -->\n",
        "<g id=\"edge6\" class=\"edge\">\n",
        "<title>p&#45;&gt;t_pred</title>\n",
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+       "<path fill=\"none\" stroke=\"black\" d=\"M138.47,-267.38C138.67,-255.28 138.91,-240.73 139.15,-226.83\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"142.64,-226.94 139.31,-216.88 135.65,-226.82 142.64,-226.94\"/>\n",
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        "<!-- p&#45;&gt;like -->\n",
-       "<g id=\"edge9\" class=\"edge\">\n",
+       "<g id=\"edge10\" class=\"edge\">\n",
        "<title>p&#45;&gt;like</title>\n",
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-       "<!-- weighted_outcome -->\n",
-       "<g id=\"node6\" class=\"node\">\n",
-       "<title>weighted_outcome</title>\n",
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-       "<text text-anchor=\"middle\" x=\"188\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">weighted_outcome</text>\n",
-       "<text text-anchor=\"middle\" x=\"188\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"188\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "<!-- Y -->\n",
+       "<g id=\"node5\" class=\"node\">\n",
+       "<title>Y</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M273,-98C273,-98 243,-98 243,-98 237,-98 231,-92 231,-86 231,-86 231,-52.5 231,-52.5 231,-46.5 237,-40.5 243,-40.5 243,-40.5 273,-40.5 273,-40.5 279,-40.5 285,-46.5 285,-52.5 285,-52.5 285,-86 285,-86 285,-92 279,-98 273,-98\"/>\n",
+       "<text text-anchor=\"middle\" x=\"258\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
+       "<text text-anchor=\"middle\" x=\"258\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"258\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
-       "<!-- p&#45;&gt;weighted_outcome -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
-       "<title>p&#45;&gt;weighted_outcome</title>\n",
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+       "<!-- t_pred&#45;&gt;T -->\n",
+       "<g id=\"edge1\" class=\"edge\">\n",
+       "<title>t_pred&#45;&gt;T</title>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"143.5,-109.79 140,-99.79 136.5,-109.79 143.5,-109.79\"/>\n",
+       "</g>\n",
+       "<!-- spline_features -->\n",
+       "<g id=\"node7\" class=\"node\">\n",
+       "<title>spline_features</title>\n",
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+       "<text text-anchor=\"middle\" x=\"250\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">spline_features</text>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "</g>\n",
+       "<!-- spline_features&#45;&gt;like -->\n",
+       "<g id=\"edge13\" class=\"edge\">\n",
+       "<title>spline_features&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M251.88,-267.38C252.68,-255.28 253.66,-240.73 254.58,-226.83\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"258.07,-227.09 255.25,-216.88 251.09,-226.62 258.07,-227.09\"/>\n",
+       "</g>\n",
+       "<!-- like&#45;&gt;Y -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>like&#45;&gt;Y</title>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"261.5,-109.79 258,-99.79 254.5,-109.79 261.5,-109.79\"/>\n",
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        "<!-- beta_trt_ -->\n",
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        "<title>beta_trt_</title>\n",
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-       "<text text-anchor=\"middle\" x=\"188\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"188\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"139\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"139\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">beta_trt_</text>\n",
+       "<text text-anchor=\"middle\" x=\"139\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"139\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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        "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge3\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>beta_trt_&#45;&gt;p</title>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"141.81,-337.17 138.23,-327.19 134.81,-337.22 141.81,-337.17\"/>\n",
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        "<!-- beta_ -->\n",
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+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"468\" cy=\"-296.48\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"468\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">beta_</text>\n",
+       "<text text-anchor=\"middle\" x=\"468\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"468\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge11\" class=\"edge\">\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
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-       "<!-- alpha_outcome -->\n",
+       "<!-- beta_ps -->\n",
        "<g id=\"node11\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"250\" cy=\"-426.29\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"250\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_ps&#45;&gt;spline_features -->\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
+       "<title>beta_ps&#45;&gt;spline_features</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M250,-385.2C250,-369.8 250,-352.24 250,-336.9\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"253.5,-337.19 250,-327.19 246.5,-337.19 253.5,-337.19\"/>\n",
+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node12\" class=\"node\">\n",
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+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"597\" cy=\"-296.48\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"597\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"597\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"597\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge12\" class=\"edge\">\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
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        "<!-- sigma -->\n",
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+       "<g id=\"node13\" class=\"node\">\n",
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-       "<text text-anchor=\"middle\" x=\"792\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Exponential</text>\n",
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        "</g>\n",
        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
        "<title>sigma&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M767.23,-259.36C755.98,-245.79 741.48,-231.65 725,-223.32 662.2,-191.58 457.17,-180.62 359.56,-177.14\"/>\n",
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-       "</g>\n",
-       "<!-- beta_ps -->\n",
-       "<g id=\"node13\" class=\"node\">\n",
-       "<title>beta_ps</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"908\" cy=\"-296.48\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"908\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
-       "<text text-anchor=\"middle\" x=\"908\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"908\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
-       "</g>\n",
-       "<!-- beta_ps&#45;&gt;like -->\n",
-       "<g id=\"edge13\" class=\"edge\">\n",
-       "<title>beta_ps&#45;&gt;like</title>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"310.83,-173.65 300.72,-176.8 310.59,-180.64 310.83,-173.65\"/>\n",
        "</g>\n",
        "<!-- alpha_trt -->\n",
        "<g id=\"node14\" class=\"node\">\n",
        "<title>alpha_trt</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"297\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
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-       "<text text-anchor=\"middle\" x=\"297\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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+       "<text text-anchor=\"middle\" x=\"354\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
+       "<text text-anchor=\"middle\" x=\"354\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"354\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
        "<title>alpha_trt&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M274.09,-390.97C265.42,-378.68 255.18,-364.95 245,-353.13 239.35,-346.58 233.06,-339.9 226.78,-333.55\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"229.51,-331.34 219.94,-326.79 224.59,-336.31 229.51,-331.34\"/>\n",
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        "</g>\n",
        "</g>\n",
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x302be73d0>"
+       "<graphviz.graphs.Digraph at 0x308770940>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 259,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1098,7 +4920,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 260,
    "metadata": {},
    "outputs": [
     {
@@ -1111,7 +4933,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4a234ba5fc1049a088ba68ffb1dd2ab8",
+       "model_id": "323e1422a4bc4be788d12d17f2179020",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1125,7 +4947,7 @@
     {
      "data": {
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-       "model_id": "fe20eee1d0e64577bb349cd0edd2d48e",
+       "model_id": "a93c5fd8f7104624a3da903afce2bbb5",
        "version_major": 2,
        "version_minor": 0
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@@ -1139,7 +4961,7 @@
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-       "model_id": "593645f6b0f24609b6d581f1f30f0a49",
+       "model_id": "d2b9068b25464de08c6e9e22dc93ff37",
        "version_major": 2,
        "version_minor": 0
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@@ -1153,7 +4975,7 @@
     {
      "data": {
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-       "model_id": "cd7272c715d0499abab1e862d17f4795",
+       "model_id": "50df194611e04dbe83e2d37f86bbc68a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1173,7 +4995,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 261,
    "metadata": {},
    "outputs": [
     {
@@ -1211,14 +5033,14 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.097</td>\n",
-       "      <td>0.060</td>\n",
-       "      <td>-1.204</td>\n",
-       "      <td>-0.980</td>\n",
+       "      <td>-1.098</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>-1.208</td>\n",
+       "      <td>-0.991</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>5029.0</td>\n",
-       "      <td>2660.0</td>\n",
+       "      <td>4873.0</td>\n",
+       "      <td>2928.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1226,35 +5048,35 @@
        "      <td>0.041</td>\n",
        "      <td>0.009</td>\n",
        "      <td>0.023</td>\n",
-       "      <td>0.057</td>\n",
+       "      <td>0.058</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>2811.0</td>\n",
-       "      <td>2565.0</td>\n",
+       "      <td>2778.0</td>\n",
+       "      <td>2858.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[smokeintensity]</th>\n",
        "      <td>-0.018</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>-0.029</td>\n",
-       "      <td>-0.009</td>\n",
+       "      <td>-0.028</td>\n",
+       "      <td>-0.008</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>4747.0</td>\n",
-       "      <td>2745.0</td>\n",
+       "      <td>6634.0</td>\n",
+       "      <td>3058.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[smokeyrs]</th>\n",
        "      <td>-0.021</td>\n",
        "      <td>0.009</td>\n",
-       "      <td>-0.039</td>\n",
-       "      <td>-0.004</td>\n",
+       "      <td>-0.037</td>\n",
+       "      <td>-0.003</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>2925.0</td>\n",
-       "      <td>2495.0</td>\n",
+       "      <td>2763.0</td>\n",
+       "      <td>3057.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1265,92 +5087,248 @@
        "      <td>0.018</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>4898.0</td>\n",
-       "      <td>2980.0</td>\n",
+       "      <td>6050.0</td>\n",
+       "      <td>3082.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.753</td>\n",
-       "      <td>0.311</td>\n",
-       "      <td>1.156</td>\n",
-       "      <td>2.323</td>\n",
-       "      <td>0.006</td>\n",
+       "      <td>1.815</td>\n",
+       "      <td>0.223</td>\n",
+       "      <td>1.418</td>\n",
+       "      <td>2.242</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>2649.0</td>\n",
-       "      <td>3024.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3612.0</td>\n",
+       "      <td>3115.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.943</td>\n",
-       "      <td>0.395</td>\n",
-       "      <td>2.166</td>\n",
-       "      <td>3.671</td>\n",
+       "      <td>2.942</td>\n",
+       "      <td>0.388</td>\n",
+       "      <td>2.226</td>\n",
+       "      <td>3.703</td>\n",
        "      <td>0.006</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>4271.0</td>\n",
-       "      <td>2695.0</td>\n",
+       "      <td>4552.0</td>\n",
+       "      <td>3427.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-0.227</td>\n",
-       "      <td>0.033</td>\n",
-       "      <td>-0.286</td>\n",
-       "      <td>-0.160</td>\n",
+       "      <td>-0.224</td>\n",
+       "      <td>0.032</td>\n",
+       "      <td>-0.284</td>\n",
+       "      <td>-0.166</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>2461.0</td>\n",
-       "      <td>2833.0</td>\n",
+       "      <td>2758.0</td>\n",
+       "      <td>2771.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.027</td>\n",
+       "      <td>0.026</td>\n",
        "      <td>0.017</td>\n",
        "      <td>-0.004</td>\n",
-       "      <td>0.058</td>\n",
+       "      <td>0.059</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>4695.0</td>\n",
-       "      <td>2705.0</td>\n",
+       "      <td>4815.0</td>\n",
+       "      <td>3054.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.078</td>\n",
-       "      <td>0.032</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>0.137</td>\n",
+       "      <td>0.075</td>\n",
+       "      <td>0.031</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>0.131</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>2548.0</td>\n",
-       "      <td>2662.0</td>\n",
+       "      <td>2795.0</td>\n",
+       "      <td>2864.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-0.083</td>\n",
+       "      <td>-0.082</td>\n",
        "      <td>0.012</td>\n",
-       "      <td>-0.107</td>\n",
-       "      <td>-0.060</td>\n",
+       "      <td>-0.103</td>\n",
+       "      <td>-0.057</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>4645.0</td>\n",
-       "      <td>2511.0</td>\n",
+       "      <td>5963.0</td>\n",
+       "      <td>3152.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>0.261</td>\n",
-       "      <td>0.942</td>\n",
-       "      <td>-1.399</td>\n",
-       "      <td>2.108</td>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>-0.011</td>\n",
+       "      <td>0.984</td>\n",
+       "      <td>-1.869</td>\n",
+       "      <td>1.800</td>\n",
+       "      <td>0.013</td>\n",
        "      <td>0.018</td>\n",
+       "      <td>5886.0</td>\n",
+       "      <td>2309.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>0.105</td>\n",
+       "      <td>0.982</td>\n",
+       "      <td>-1.776</td>\n",
+       "      <td>1.909</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>5987.0</td>\n",
+       "      <td>3071.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[2]</th>\n",
+       "      <td>-0.170</td>\n",
+       "      <td>0.979</td>\n",
+       "      <td>-1.963</td>\n",
+       "      <td>1.688</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>6341.0</td>\n",
+       "      <td>3190.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[3]</th>\n",
+       "      <td>-0.340</td>\n",
+       "      <td>0.969</td>\n",
+       "      <td>-2.123</td>\n",
+       "      <td>1.543</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>4910.0</td>\n",
+       "      <td>2734.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[4]</th>\n",
+       "      <td>0.251</td>\n",
+       "      <td>0.981</td>\n",
+       "      <td>-1.519</td>\n",
+       "      <td>2.197</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>5475.0</td>\n",
+       "      <td>2944.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[5]</th>\n",
+       "      <td>0.157</td>\n",
+       "      <td>0.964</td>\n",
+       "      <td>-1.591</td>\n",
+       "      <td>1.999</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>6154.0</td>\n",
+       "      <td>2682.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[6]</th>\n",
+       "      <td>0.170</td>\n",
+       "      <td>0.950</td>\n",
+       "      <td>-1.587</td>\n",
+       "      <td>1.970</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>5709.0</td>\n",
+       "      <td>2977.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[7]</th>\n",
+       "      <td>-0.360</td>\n",
+       "      <td>0.967</td>\n",
+       "      <td>-2.099</td>\n",
+       "      <td>1.504</td>\n",
+       "      <td>0.014</td>\n",
        "      <td>0.014</td>\n",
-       "      <td>2852.0</td>\n",
-       "      <td>2884.0</td>\n",
+       "      <td>4782.0</td>\n",
+       "      <td>3264.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[8]</th>\n",
+       "      <td>-0.074</td>\n",
+       "      <td>0.959</td>\n",
+       "      <td>-1.860</td>\n",
+       "      <td>1.736</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>5058.0</td>\n",
+       "      <td>3107.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[9]</th>\n",
+       "      <td>0.161</td>\n",
+       "      <td>0.964</td>\n",
+       "      <td>-1.750</td>\n",
+       "      <td>1.883</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>6129.0</td>\n",
+       "      <td>2747.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[10]</th>\n",
+       "      <td>0.078</td>\n",
+       "      <td>1.001</td>\n",
+       "      <td>-1.838</td>\n",
+       "      <td>1.940</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>5648.0</td>\n",
+       "      <td>3030.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[11]</th>\n",
+       "      <td>0.142</td>\n",
+       "      <td>0.993</td>\n",
+       "      <td>-1.715</td>\n",
+       "      <td>1.966</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>6450.0</td>\n",
+       "      <td>2824.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[12]</th>\n",
+       "      <td>0.060</td>\n",
+       "      <td>0.966</td>\n",
+       "      <td>-1.764</td>\n",
+       "      <td>1.916</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>5347.0</td>\n",
+       "      <td>2900.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[13]</th>\n",
+       "      <td>0.008</td>\n",
+       "      <td>1.005</td>\n",
+       "      <td>-2.036</td>\n",
+       "      <td>1.811</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>6432.0</td>\n",
+       "      <td>2921.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1359,35 +5337,61 @@
       ],
       "text/plain": [
        "                            mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "alpha_trt                 -1.097  0.060  -1.204   -0.980      0.001    0.001   \n",
-       "beta_trt_[age]             0.041  0.009   0.023    0.057      0.000    0.000   \n",
-       "beta_trt_[smokeintensity] -0.018  0.005  -0.029   -0.009      0.000    0.000   \n",
-       "beta_trt_[smokeyrs]       -0.021  0.009  -0.039   -0.004      0.000    0.000   \n",
+       "alpha_trt                 -1.098  0.058  -1.208   -0.991      0.001    0.001   \n",
+       "beta_trt_[age]             0.041  0.009   0.023    0.058      0.000    0.000   \n",
+       "beta_trt_[smokeintensity] -0.018  0.005  -0.028   -0.008      0.000    0.000   \n",
+       "beta_trt_[smokeyrs]       -0.021  0.009  -0.037   -0.003      0.000    0.000   \n",
        "beta_trt_[wt71]            0.011  0.004   0.003    0.018      0.000    0.000   \n",
-       "alpha_outcome              1.753  0.311   1.156    2.323      0.006    0.004   \n",
-       "beta_[trt]                 2.943  0.395   2.166    3.671      0.006    0.004   \n",
-       "beta_[age]                -0.227  0.033  -0.286   -0.160      0.001    0.000   \n",
-       "beta_[smokeintensity]      0.027  0.017  -0.004    0.058      0.000    0.000   \n",
-       "beta_[smokeyrs]            0.078  0.032   0.018    0.137      0.001    0.000   \n",
-       "beta_[wt71]               -0.083  0.012  -0.107   -0.060      0.000    0.000   \n",
-       "beta_ps                    0.261  0.942  -1.399    2.108      0.018    0.014   \n",
+       "alpha_outcome              1.815  0.223   1.418    2.242      0.004    0.003   \n",
+       "beta_[trt]                 2.942  0.388   2.226    3.703      0.006    0.004   \n",
+       "beta_[age]                -0.224  0.032  -0.284   -0.166      0.001    0.000   \n",
+       "beta_[smokeintensity]      0.026  0.017  -0.004    0.059      0.000    0.000   \n",
+       "beta_[smokeyrs]            0.075  0.031   0.015    0.131      0.001    0.000   \n",
+       "beta_[wt71]               -0.082  0.012  -0.103   -0.057      0.000    0.000   \n",
+       "beta_ps[0]                -0.011  0.984  -1.869    1.800      0.013    0.018   \n",
+       "beta_ps[1]                 0.105  0.982  -1.776    1.909      0.013    0.015   \n",
+       "beta_ps[2]                -0.170  0.979  -1.963    1.688      0.012    0.016   \n",
+       "beta_ps[3]                -0.340  0.969  -2.123    1.543      0.014    0.016   \n",
+       "beta_ps[4]                 0.251  0.981  -1.519    2.197      0.013    0.015   \n",
+       "beta_ps[5]                 0.157  0.964  -1.591    1.999      0.012    0.016   \n",
+       "beta_ps[6]                 0.170  0.950  -1.587    1.970      0.013    0.015   \n",
+       "beta_ps[7]                -0.360  0.967  -2.099    1.504      0.014    0.014   \n",
+       "beta_ps[8]                -0.074  0.959  -1.860    1.736      0.013    0.016   \n",
+       "beta_ps[9]                 0.161  0.964  -1.750    1.883      0.012    0.016   \n",
+       "beta_ps[10]                0.078  1.001  -1.838    1.940      0.013    0.017   \n",
+       "beta_ps[11]                0.142  0.993  -1.715    1.966      0.012    0.016   \n",
+       "beta_ps[12]                0.060  0.966  -1.764    1.916      0.013    0.016   \n",
+       "beta_ps[13]                0.008  1.005  -2.036    1.811      0.012    0.018   \n",
        "\n",
        "                           ess_bulk  ess_tail  r_hat  \n",
-       "alpha_trt                    5029.0    2660.0    1.0  \n",
-       "beta_trt_[age]               2811.0    2565.0    1.0  \n",
-       "beta_trt_[smokeintensity]    4747.0    2745.0    1.0  \n",
-       "beta_trt_[smokeyrs]          2925.0    2495.0    1.0  \n",
-       "beta_trt_[wt71]              4898.0    2980.0    1.0  \n",
-       "alpha_outcome                2649.0    3024.0    1.0  \n",
-       "beta_[trt]                   4271.0    2695.0    1.0  \n",
-       "beta_[age]                   2461.0    2833.0    1.0  \n",
-       "beta_[smokeintensity]        4695.0    2705.0    1.0  \n",
-       "beta_[smokeyrs]              2548.0    2662.0    1.0  \n",
-       "beta_[wt71]                  4645.0    2511.0    1.0  \n",
-       "beta_ps                      2852.0    2884.0    1.0  "
+       "alpha_trt                    4873.0    2928.0    1.0  \n",
+       "beta_trt_[age]               2778.0    2858.0    1.0  \n",
+       "beta_trt_[smokeintensity]    6634.0    3058.0    1.0  \n",
+       "beta_trt_[smokeyrs]          2763.0    3057.0    1.0  \n",
+       "beta_trt_[wt71]              6050.0    3082.0    1.0  \n",
+       "alpha_outcome                3612.0    3115.0    1.0  \n",
+       "beta_[trt]                   4552.0    3427.0    1.0  \n",
+       "beta_[age]                   2758.0    2771.0    1.0  \n",
+       "beta_[smokeintensity]        4815.0    3054.0    1.0  \n",
+       "beta_[smokeyrs]              2795.0    2864.0    1.0  \n",
+       "beta_[wt71]                  5963.0    3152.0    1.0  \n",
+       "beta_ps[0]                   5886.0    2309.0    1.0  \n",
+       "beta_ps[1]                   5987.0    3071.0    1.0  \n",
+       "beta_ps[2]                   6341.0    3190.0    1.0  \n",
+       "beta_ps[3]                   4910.0    2734.0    1.0  \n",
+       "beta_ps[4]                   5475.0    2944.0    1.0  \n",
+       "beta_ps[5]                   6154.0    2682.0    1.0  \n",
+       "beta_ps[6]                   5709.0    2977.0    1.0  \n",
+       "beta_ps[7]                   4782.0    3264.0    1.0  \n",
+       "beta_ps[8]                   5058.0    3107.0    1.0  \n",
+       "beta_ps[9]                   6129.0    2747.0    1.0  \n",
+       "beta_ps[10]                  5648.0    3030.0    1.0  \n",
+       "beta_ps[11]                  6450.0    2824.0    1.0  \n",
+       "beta_ps[12]                  5347.0    2900.0    1.0  \n",
+       "beta_ps[13]                  6432.0    2921.0    1.0  "
       ]
      },
-     "execution_count": 12,
+     "execution_count": 261,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1400,12 +5404,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 262,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x1000 with 10 Axes>"
       ]

From 71b3741c6810d46207b3bb97ba778d522e61edc0 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Tue, 8 Jul 2025 18:48:49 +0100
Subject: [PATCH 05/31] adding centred and non-centred options

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 2644 +++++++++++--------
 1 file changed, 1602 insertions(+), 1042 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index a625ef9e..82170cfc 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -50,53 +50,53 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.324714</td>\n",
-       "      <td>0.121073</td>\n",
-       "      <td>1</td>\n",
-       "      <td>7.206744</td>\n",
+       "      <td>-0.153198</td>\n",
+       "      <td>0.052058</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.342783</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-1.257066</td>\n",
-       "      <td>-0.400438</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.865809</td>\n",
+       "      <td>1.054261</td>\n",
+       "      <td>0.888169</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.318285</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1.491616</td>\n",
-       "      <td>1.693848</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9.825401</td>\n",
+       "      <td>0.936572</td>\n",
+       "      <td>0.562454</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5.627594</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2.413023</td>\n",
-       "      <td>2.385870</td>\n",
+       "      <td>2.600557</td>\n",
+       "      <td>1.343742</td>\n",
        "      <td>1</td>\n",
-       "      <td>9.819792</td>\n",
+       "      <td>9.788608</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1.128825</td>\n",
-       "      <td>1.699364</td>\n",
+       "      <td>3.043268</td>\n",
+       "      <td>3.014895</td>\n",
        "      <td>1</td>\n",
-       "      <td>9.099724</td>\n",
+       "      <td>12.692891</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "         x1        x2  trt   outcome\n",
-       "0  0.324714  0.121073    1  7.206744\n",
-       "1 -1.257066 -0.400438    0  1.865809\n",
-       "2  1.491616  1.693848    1  9.825401\n",
-       "3  2.413023  2.385870    1  9.819792\n",
-       "4  1.128825  1.699364    1  9.099724"
+       "         x1        x2  trt    outcome\n",
+       "0 -0.153198  0.052058    0   3.342783\n",
+       "1  1.054261  0.888169    1   6.318285\n",
+       "2  0.936572  0.562454    0   5.627594\n",
+       "3  2.600557  1.343742    1   9.788608\n",
+       "4  3.043268  3.014895    1  12.692891"
       ]
      },
-     "execution_count": 137,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -131,33 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 225,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(100, 14)"
-      ]
-     },
-     "execution_count": 225,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "B_ = dmatrix(\n",
-    "    \"bs(ps, knots=knots, degree=3, include_intercept=True) - 1\",\n",
-    "    {\"ps\": np.linspace(0, 1, 100), \"knots\": np.linspace(0, 1, 12)[1:-1]},\n",
-    ")\n",
-    "B_f = np.asarray(B_, order=\"F\")\n",
-    "\n",
-    "B_f.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
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+       "<text text-anchor=\"middle\" x=\"158\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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+       "<!-- T -->\n",
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+       "<title>T</title>\n",
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        "<!-- t_pred&#45;&gt;T -->\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"161.5,-109.79 158,-99.79 154.5,-109.79 161.5,-109.79\"/>\n",
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+       "<!-- like&#45;&gt;Y -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>like&#45;&gt;Y</title>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"279.5,-109.79 276,-99.79 272.5,-109.79 279.5,-109.79\"/>\n",
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        "<!-- spline_features -->\n",
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-       "<text text-anchor=\"middle\" x=\"250\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
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+       "<text text-anchor=\"middle\" x=\"268\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
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        "<!-- spline_features&#45;&gt;like -->\n",
-       "<g id=\"edge13\" class=\"edge\">\n",
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+       "<!-- p&#45;&gt;t_pred -->\n",
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+       "<title>p&#45;&gt;t_pred</title>\n",
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+       "<!-- p&#45;&gt;like -->\n",
+       "<g id=\"edge13\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
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        "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
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-       "<!-- beta_ -->\n",
+       "<!-- beta_trt_std -->\n",
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+       "<title>beta_trt_std</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"150\" cy=\"-531.11\" rx=\"56.39\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"150\" y=\"-542.56\" font-family=\"Times,serif\" font-size=\"14.00\">beta_trt_std</text>\n",
+       "<text text-anchor=\"middle\" x=\"150\" y=\"-526.06\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"150\" y=\"-509.56\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_trt_std&#45;&gt;beta_trt_ -->\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
+       "<title>beta_trt_std&#45;&gt;beta_trt_</title>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"154.81,-454.33 151.49,-444.27 147.82,-454.21 154.81,-454.33\"/>\n",
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+       "<!-- beta_ -->\n",
+       "<g id=\"node11\" class=\"node\">\n",
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+       "<text text-anchor=\"middle\" x=\"490\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
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+       "</g>\n",
+       "<!-- beta_std -->\n",
+       "<g id=\"node12\" class=\"node\">\n",
+       "<title>beta_std</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"490\" cy=\"-413.79\" rx=\"43.13\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"490\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_std</text>\n",
+       "<text text-anchor=\"middle\" x=\"490\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"490\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_std&#45;&gt;beta_ -->\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
+       "<title>beta_std&#45;&gt;beta_</title>\n",
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        "<!-- beta_ps -->\n",
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+       "<g id=\"node13\" class=\"node\">\n",
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-       "<text text-anchor=\"middle\" x=\"250\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"271\" cy=\"-413.79\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"271\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text text-anchor=\"middle\" x=\"271\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"271\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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        "<!-- beta_ps&#45;&gt;spline_features -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
        "<title>beta_ps&#45;&gt;spline_features</title>\n",
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-       "<title>alpha_outcome&#45;&gt;like</title>\n",
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        "<!-- sigma -->\n",
-       "<g id=\"node13\" class=\"node\">\n",
+       "<g id=\"node14\" class=\"node\">\n",
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+       "<text text-anchor=\"middle\" x=\"611\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text text-anchor=\"middle\" x=\"611\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge9\" class=\"edge\">\n",
+       "<g id=\"edge10\" class=\"edge\">\n",
        "<title>sigma&#45;&gt;like</title>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"329.07,-174.37 318.85,-177.18 328.59,-181.35 329.07,-174.37\"/>\n",
+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node15\" class=\"node\">\n",
+       "<title>alpha_outcome</title>\n",
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+       "<text text-anchor=\"middle\" x=\"757\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"757\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"757\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
+       "<g id=\"edge15\" class=\"edge\">\n",
+       "<title>alpha_outcome&#45;&gt;like</title>\n",
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        "<!-- alpha_trt -->\n",
-       "<g id=\"node14\" class=\"node\">\n",
+       "<g id=\"node16\" class=\"node\">\n",
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-       "<text text-anchor=\"middle\" x=\"354\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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+       "<text text-anchor=\"middle\" x=\"375\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
+       "<text text-anchor=\"middle\" x=\"375\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"375\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge3\" class=\"edge\">\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
        "<title>alpha_trt&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M336.81,-388.61C328.55,-375.13 317.3,-361.2 303,-353.13 281.46,-340.98 214.8,-354.71 192,-345.13 184.87,-342.14 178.04,-337.82 171.77,-332.98\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"174.09,-330.35 164.19,-326.59 169.58,-335.7 174.09,-330.35\"/>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M357.82,-376.1C349.56,-362.62 338.3,-348.69 324,-340.63 301.87,-328.18 233.84,-341.38 210,-332.63 205.88,-331.12 201.8,-329.19 197.84,-327.01\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"199.92,-324.18 189.57,-321.91 196.25,-330.14 199.92,-324.18\"/>\n",
        "</g>\n",
        "</g>\n",
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x322f2d930>"
+       "<graphviz.graphs.Digraph at 0x33c538df0>"
       ]
      },
-     "execution_count": 238,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -433,7 +435,13 @@
     "    T_data,\n",
     "    Y_data,\n",
     "    coords,\n",
-    "    priors={\"beta_\": [0, 1], \"beta_trt\": [0, 1]},\n",
+    "    priors={\n",
+    "        \"beta_\": [0, 1],\n",
+    "        \"beta_trt\": [0, 1],\n",
+    "        \"alpha_trt\": [0, 1],\n",
+    "        \"alpha_outcome\": [0, 1],\n",
+    "    },\n",
+    "    noncentred=True,\n",
     "):\n",
     "    with pm.Model(coords=coords) as model:\n",
     "        X_data_trt = pm.Data(\"X\", X_trt)\n",
@@ -441,13 +449,37 @@
     "        T_data_ = pm.Data(\"T\", T_data, mutable=True)\n",
     "        Y_data_ = pm.Data(\"Y\", Y_data)\n",
     "\n",
-    "        beta_trt = pm.Normal(\n",
-    "            \"beta_trt_\", priors[\"beta_trt\"][0], priors[\"beta_trt\"][1], dims=\"betas_trt\"\n",
-    "        )\n",
-    "        beta = pm.Normal(\"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\")\n",
+    "        if noncentred:\n",
+    "            mu_beta_trt, sigma_beta_trt = priors[\"beta_trt\"]\n",
+    "            beta_trt_std = pm.Normal(\"beta_trt_std\", 0, 1, dims=\"betas_trt\")\n",
+    "            beta_trt = pm.Deterministic(\n",
+    "                \"beta_trt_\",\n",
+    "                mu_beta_trt + sigma_beta_trt * beta_trt_std,\n",
+    "                dims=\"betas_trt\",\n",
+    "            )\n",
+    "\n",
+    "            mu_beta, sigma_beta = priors[\"beta_\"]\n",
+    "            beta_std = pm.Normal(\"beta_std\", 0, 1, dims=\"betas\")\n",
+    "            beta = pm.Deterministic(\n",
+    "                \"beta_\", mu_beta + sigma_beta * beta_std, dims=\"betas\"\n",
+    "            )\n",
+    "        else:\n",
+    "            beta_trt = pm.Normal(\n",
+    "                \"beta_trt_\",\n",
+    "                priors[\"beta_trt\"][0],\n",
+    "                priors[\"beta_trt\"][1],\n",
+    "                dims=\"betas_trt\",\n",
+    "            )\n",
+    "\n",
+    "            beta = pm.Normal(\n",
+    "                \"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\"\n",
+    "            )\n",
+    "\n",
     "        beta_ps = pm.Normal(\"beta_ps\", 0, 1, size=14)\n",
     "\n",
-    "        alpha_trt = pm.Normal(\"alpha_trt\", 0, 1)\n",
+    "        alpha_trt = pm.Normal(\n",
+    "            \"alpha_trt\", priors[\"alpha_trt\"][0], priors[\"alpha_trt\"][1]\n",
+    "        )\n",
     "        mu_trt = alpha_trt + pm.math.dot(X_data_trt, beta_trt)\n",
     "        p = pm.Deterministic(\"p\", pm.math.invlogit(mu_trt))\n",
     "\n",
@@ -462,7 +494,9 @@
     "            \"spline_features\", pm.math.dot(B_f, beta_ps.T)\n",
     "        )\n",
     "\n",
-    "        alpha_outcome = pm.Normal(\"alpha_outcome\", 0, 1)\n",
+    "        alpha_outcome = pm.Normal(\n",
+    "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
+    "        )\n",
     "        mu_outcome = (\n",
     "            alpha_outcome + pm.math.dot(X_data_outcome, beta) + p * splines_summed\n",
     "        )\n",
@@ -487,20 +521,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 239,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [alpha_outcome, alpha_trt, beta_, beta_ps, beta_trt_, like, sigma, t_pred]\n"
+      "Sampling: [alpha_outcome, alpha_trt, beta_ps, beta_std, beta_trt_std, like, sigma, t_pred]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bc512fee2be24c7badf3b44fdad684b7",
+       "model_id": "130ba1d74e4941319b55c02a86bd7c93",
        "version_major": 2,
        "version_minor": 0
       },
@@ -514,7 +548,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3c5797b850c64d76b34e0dd36fcef89b",
+       "model_id": "26c68fcf7b6d4a9e82c70614f50a41b3",
        "version_major": 2,
        "version_minor": 0
       },
@@ -528,7 +562,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4dc495689d53412297b9cfa4d7043cee",
+       "model_id": "b94f4c30ef4c4aae94fa721fb892073c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -542,7 +576,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e1d9df4b9a814f208cf4f44f36b13fbd",
+       "model_id": "667fb0da754843379ae268225b3065a3",
        "version_major": 2,
        "version_minor": 0
       },
@@ -562,7 +596,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 240,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
@@ -600,254 +634,254 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.983</td>\n",
-       "      <td>0.123</td>\n",
-       "      <td>-1.208</td>\n",
-       "      <td>-0.744</td>\n",
+       "      <td>-0.817</td>\n",
+       "      <td>0.118</td>\n",
+       "      <td>-1.055</td>\n",
+       "      <td>-0.614</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>3807.0</td>\n",
-       "      <td>2630.0</td>\n",
+       "      <td>3232.0</td>\n",
+       "      <td>2938.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[x1]</th>\n",
-       "      <td>0.320</td>\n",
-       "      <td>0.079</td>\n",
-       "      <td>0.170</td>\n",
-       "      <td>0.461</td>\n",
+       "      <td>0.235</td>\n",
+       "      <td>0.078</td>\n",
+       "      <td>0.092</td>\n",
+       "      <td>0.381</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>3884.0</td>\n",
-       "      <td>2685.0</td>\n",
+       "      <td>3864.0</td>\n",
+       "      <td>2955.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[x2]</th>\n",
-       "      <td>1.331</td>\n",
-       "      <td>0.125</td>\n",
-       "      <td>1.082</td>\n",
-       "      <td>1.543</td>\n",
+       "      <td>1.357</td>\n",
+       "      <td>0.126</td>\n",
+       "      <td>1.115</td>\n",
+       "      <td>1.580</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>3509.0</td>\n",
-       "      <td>2868.0</td>\n",
+       "      <td>2880.0</td>\n",
+       "      <td>2817.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4.023</td>\n",
-       "      <td>0.101</td>\n",
-       "      <td>3.834</td>\n",
-       "      <td>4.208</td>\n",
+       "      <td>4.028</td>\n",
+       "      <td>0.102</td>\n",
+       "      <td>3.833</td>\n",
+       "      <td>4.214</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>1305.0</td>\n",
-       "      <td>1981.0</td>\n",
+       "      <td>1562.0</td>\n",
+       "      <td>2260.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.999</td>\n",
-       "      <td>0.081</td>\n",
-       "      <td>1.844</td>\n",
-       "      <td>2.151</td>\n",
+       "      <td>1.882</td>\n",
+       "      <td>0.076</td>\n",
+       "      <td>1.738</td>\n",
+       "      <td>2.026</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>5219.0</td>\n",
-       "      <td>2681.0</td>\n",
+       "      <td>4284.0</td>\n",
+       "      <td>2694.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>0.998</td>\n",
-       "      <td>0.036</td>\n",
-       "      <td>0.926</td>\n",
-       "      <td>1.061</td>\n",
+       "      <td>1.021</td>\n",
+       "      <td>0.032</td>\n",
+       "      <td>0.960</td>\n",
+       "      <td>1.082</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>3413.0</td>\n",
-       "      <td>3054.0</td>\n",
+       "      <td>3549.0</td>\n",
+       "      <td>2896.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x2]</th>\n",
-       "      <td>1.049</td>\n",
-       "      <td>0.071</td>\n",
-       "      <td>0.916</td>\n",
-       "      <td>1.179</td>\n",
+       "      <td>0.970</td>\n",
+       "      <td>0.070</td>\n",
+       "      <td>0.836</td>\n",
+       "      <td>1.096</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>1729.0</td>\n",
-       "      <td>2017.0</td>\n",
+       "      <td>1815.0</td>\n",
+       "      <td>2605.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>0.021</td>\n",
-       "      <td>1.011</td>\n",
-       "      <td>-1.885</td>\n",
-       "      <td>1.836</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.995</td>\n",
+       "      <td>-1.878</td>\n",
+       "      <td>1.857</td>\n",
        "      <td>0.014</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>5508.0</td>\n",
-       "      <td>2927.0</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>5311.0</td>\n",
+       "      <td>2779.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.161</td>\n",
-       "      <td>0.473</td>\n",
-       "      <td>-0.694</td>\n",
-       "      <td>1.085</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>2414.0</td>\n",
-       "      <td>2156.0</td>\n",
+       "      <td>0.424</td>\n",
+       "      <td>0.450</td>\n",
+       "      <td>-0.403</td>\n",
+       "      <td>1.270</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2762.0</td>\n",
+       "      <td>3088.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[2]</th>\n",
-       "      <td>0.006</td>\n",
-       "      <td>0.515</td>\n",
-       "      <td>-1.004</td>\n",
-       "      <td>0.962</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>2587.0</td>\n",
-       "      <td>2836.0</td>\n",
+       "      <td>0.092</td>\n",
+       "      <td>0.480</td>\n",
+       "      <td>-0.766</td>\n",
+       "      <td>1.015</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>2775.0</td>\n",
+       "      <td>2921.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[3]</th>\n",
-       "      <td>0.137</td>\n",
-       "      <td>0.470</td>\n",
-       "      <td>-0.819</td>\n",
-       "      <td>0.943</td>\n",
-       "      <td>0.010</td>\n",
+       "      <td>-0.241</td>\n",
+       "      <td>0.467</td>\n",
+       "      <td>-1.114</td>\n",
+       "      <td>0.629</td>\n",
+       "      <td>0.009</td>\n",
        "      <td>0.007</td>\n",
-       "      <td>2423.0</td>\n",
-       "      <td>3084.0</td>\n",
+       "      <td>2560.0</td>\n",
+       "      <td>2826.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[4]</th>\n",
-       "      <td>-0.033</td>\n",
-       "      <td>0.426</td>\n",
-       "      <td>-0.830</td>\n",
-       "      <td>0.771</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>1873.0</td>\n",
-       "      <td>2179.0</td>\n",
+       "      <td>0.150</td>\n",
+       "      <td>0.397</td>\n",
+       "      <td>-0.581</td>\n",
+       "      <td>0.908</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2281.0</td>\n",
+       "      <td>2753.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[5]</th>\n",
-       "      <td>-0.168</td>\n",
-       "      <td>0.383</td>\n",
-       "      <td>-0.914</td>\n",
-       "      <td>0.532</td>\n",
+       "      <td>0.051</td>\n",
+       "      <td>0.369</td>\n",
+       "      <td>-0.626</td>\n",
+       "      <td>0.758</td>\n",
        "      <td>0.008</td>\n",
        "      <td>0.006</td>\n",
-       "      <td>2046.0</td>\n",
-       "      <td>2872.0</td>\n",
+       "      <td>2075.0</td>\n",
+       "      <td>2950.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[6]</th>\n",
-       "      <td>-0.107</td>\n",
-       "      <td>0.381</td>\n",
-       "      <td>-0.801</td>\n",
-       "      <td>0.615</td>\n",
+       "      <td>0.290</td>\n",
+       "      <td>0.382</td>\n",
+       "      <td>-0.407</td>\n",
+       "      <td>1.013</td>\n",
        "      <td>0.008</td>\n",
        "      <td>0.006</td>\n",
-       "      <td>1991.0</td>\n",
-       "      <td>2772.0</td>\n",
+       "      <td>2320.0</td>\n",
+       "      <td>2525.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[7]</th>\n",
-       "      <td>-0.212</td>\n",
-       "      <td>0.389</td>\n",
-       "      <td>-0.945</td>\n",
-       "      <td>0.534</td>\n",
-       "      <td>0.009</td>\n",
+       "      <td>-0.311</td>\n",
+       "      <td>0.387</td>\n",
+       "      <td>-1.010</td>\n",
+       "      <td>0.432</td>\n",
+       "      <td>0.008</td>\n",
        "      <td>0.006</td>\n",
-       "      <td>2008.0</td>\n",
-       "      <td>2651.0</td>\n",
+       "      <td>2228.0</td>\n",
+       "      <td>2738.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[8]</th>\n",
-       "      <td>-0.163</td>\n",
-       "      <td>0.396</td>\n",
-       "      <td>-0.911</td>\n",
-       "      <td>0.587</td>\n",
-       "      <td>0.009</td>\n",
+       "      <td>0.241</td>\n",
+       "      <td>0.379</td>\n",
+       "      <td>-0.469</td>\n",
+       "      <td>0.952</td>\n",
+       "      <td>0.008</td>\n",
        "      <td>0.006</td>\n",
-       "      <td>2124.0</td>\n",
-       "      <td>2295.0</td>\n",
+       "      <td>2157.0</td>\n",
+       "      <td>2658.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[9]</th>\n",
-       "      <td>-0.438</td>\n",
-       "      <td>0.408</td>\n",
-       "      <td>-1.181</td>\n",
-       "      <td>0.328</td>\n",
-       "      <td>0.009</td>\n",
+       "      <td>0.026</td>\n",
+       "      <td>0.389</td>\n",
+       "      <td>-0.779</td>\n",
+       "      <td>0.686</td>\n",
+       "      <td>0.008</td>\n",
        "      <td>0.006</td>\n",
-       "      <td>2184.0</td>\n",
-       "      <td>2742.0</td>\n",
+       "      <td>2208.0</td>\n",
+       "      <td>2282.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[10]</th>\n",
-       "      <td>-0.102</td>\n",
-       "      <td>0.486</td>\n",
-       "      <td>-1.070</td>\n",
-       "      <td>0.760</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>2263.0</td>\n",
-       "      <td>2505.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
+       "      <td>0.161</td>\n",
+       "      <td>0.446</td>\n",
+       "      <td>-0.709</td>\n",
+       "      <td>0.948</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2641.0</td>\n",
+       "      <td>3106.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[11]</th>\n",
-       "      <td>0.057</td>\n",
-       "      <td>0.500</td>\n",
-       "      <td>-0.903</td>\n",
-       "      <td>0.955</td>\n",
+       "      <td>-0.105</td>\n",
+       "      <td>0.492</td>\n",
+       "      <td>-1.002</td>\n",
+       "      <td>0.829</td>\n",
        "      <td>0.010</td>\n",
        "      <td>0.007</td>\n",
-       "      <td>2443.0</td>\n",
-       "      <td>3183.0</td>\n",
+       "      <td>2503.0</td>\n",
+       "      <td>2893.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[12]</th>\n",
-       "      <td>0.071</td>\n",
-       "      <td>0.523</td>\n",
-       "      <td>-0.879</td>\n",
-       "      <td>1.085</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>2949.0</td>\n",
-       "      <td>3270.0</td>\n",
+       "      <td>-0.221</td>\n",
+       "      <td>0.458</td>\n",
+       "      <td>-1.090</td>\n",
+       "      <td>0.625</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2952.0</td>\n",
+       "      <td>3111.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[13]</th>\n",
-       "      <td>-0.011</td>\n",
-       "      <td>0.993</td>\n",
-       "      <td>-1.945</td>\n",
-       "      <td>1.757</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>5496.0</td>\n",
-       "      <td>2724.0</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>1.009</td>\n",
+       "      <td>-1.973</td>\n",
+       "      <td>1.816</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>5525.0</td>\n",
+       "      <td>2852.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -856,53 +890,53 @@
       ],
       "text/plain": [
        "                mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "alpha_trt     -0.983  0.123  -1.208   -0.744      0.002    0.001    3807.0   \n",
-       "beta_trt_[x1]  0.320  0.079   0.170    0.461      0.001    0.001    3884.0   \n",
-       "beta_trt_[x2]  1.331  0.125   1.082    1.543      0.002    0.002    3509.0   \n",
-       "alpha_outcome  4.023  0.101   3.834    4.208      0.003    0.002    1305.0   \n",
-       "beta_[trt]     1.999  0.081   1.844    2.151      0.001    0.001    5219.0   \n",
-       "beta_[x1]      0.998  0.036   0.926    1.061      0.001    0.000    3413.0   \n",
-       "beta_[x2]      1.049  0.071   0.916    1.179      0.002    0.001    1729.0   \n",
-       "beta_ps[0]     0.021  1.011  -1.885    1.836      0.014    0.018    5508.0   \n",
-       "beta_ps[1]     0.161  0.473  -0.694    1.085      0.010    0.007    2414.0   \n",
-       "beta_ps[2]     0.006  0.515  -1.004    0.962      0.010    0.008    2587.0   \n",
-       "beta_ps[3]     0.137  0.470  -0.819    0.943      0.010    0.007    2423.0   \n",
-       "beta_ps[4]    -0.033  0.426  -0.830    0.771      0.010    0.007    1873.0   \n",
-       "beta_ps[5]    -0.168  0.383  -0.914    0.532      0.008    0.006    2046.0   \n",
-       "beta_ps[6]    -0.107  0.381  -0.801    0.615      0.008    0.006    1991.0   \n",
-       "beta_ps[7]    -0.212  0.389  -0.945    0.534      0.009    0.006    2008.0   \n",
-       "beta_ps[8]    -0.163  0.396  -0.911    0.587      0.009    0.006    2124.0   \n",
-       "beta_ps[9]    -0.438  0.408  -1.181    0.328      0.009    0.006    2184.0   \n",
-       "beta_ps[10]   -0.102  0.486  -1.070    0.760      0.010    0.007    2263.0   \n",
-       "beta_ps[11]    0.057  0.500  -0.903    0.955      0.010    0.007    2443.0   \n",
-       "beta_ps[12]    0.071  0.523  -0.879    1.085      0.010    0.007    2949.0   \n",
-       "beta_ps[13]   -0.011  0.993  -1.945    1.757      0.013    0.017    5496.0   \n",
+       "alpha_trt     -0.817  0.118  -1.055   -0.614      0.002    0.001    3232.0   \n",
+       "beta_trt_[x1]  0.235  0.078   0.092    0.381      0.001    0.001    3864.0   \n",
+       "beta_trt_[x2]  1.357  0.126   1.115    1.580      0.002    0.002    2880.0   \n",
+       "alpha_outcome  4.028  0.102   3.833    4.214      0.003    0.002    1562.0   \n",
+       "beta_[trt]     1.882  0.076   1.738    2.026      0.001    0.001    4284.0   \n",
+       "beta_[x1]      1.021  0.032   0.960    1.082      0.001    0.000    3549.0   \n",
+       "beta_[x2]      0.970  0.070   0.836    1.096      0.002    0.001    1815.0   \n",
+       "beta_ps[0]     0.003  0.995  -1.878    1.857      0.014    0.017    5311.0   \n",
+       "beta_ps[1]     0.424  0.450  -0.403    1.270      0.009    0.006    2762.0   \n",
+       "beta_ps[2]     0.092  0.480  -0.766    1.015      0.009    0.007    2775.0   \n",
+       "beta_ps[3]    -0.241  0.467  -1.114    0.629      0.009    0.007    2560.0   \n",
+       "beta_ps[4]     0.150  0.397  -0.581    0.908      0.008    0.006    2281.0   \n",
+       "beta_ps[5]     0.051  0.369  -0.626    0.758      0.008    0.006    2075.0   \n",
+       "beta_ps[6]     0.290  0.382  -0.407    1.013      0.008    0.006    2320.0   \n",
+       "beta_ps[7]    -0.311  0.387  -1.010    0.432      0.008    0.006    2228.0   \n",
+       "beta_ps[8]     0.241  0.379  -0.469    0.952      0.008    0.006    2157.0   \n",
+       "beta_ps[9]     0.026  0.389  -0.779    0.686      0.008    0.006    2208.0   \n",
+       "beta_ps[10]    0.161  0.446  -0.709    0.948      0.009    0.006    2641.0   \n",
+       "beta_ps[11]   -0.105  0.492  -1.002    0.829      0.010    0.007    2503.0   \n",
+       "beta_ps[12]   -0.221  0.458  -1.090    0.625      0.008    0.006    2952.0   \n",
+       "beta_ps[13]    0.000  1.009  -1.973    1.816      0.014    0.018    5525.0   \n",
        "\n",
        "               ess_tail  r_hat  \n",
-       "alpha_trt        2630.0    1.0  \n",
-       "beta_trt_[x1]    2685.0    1.0  \n",
-       "beta_trt_[x2]    2868.0    1.0  \n",
-       "alpha_outcome    1981.0    1.0  \n",
-       "beta_[trt]       2681.0    1.0  \n",
-       "beta_[x1]        3054.0    1.0  \n",
-       "beta_[x2]        2017.0    1.0  \n",
-       "beta_ps[0]       2927.0    1.0  \n",
-       "beta_ps[1]       2156.0    1.0  \n",
-       "beta_ps[2]       2836.0    1.0  \n",
-       "beta_ps[3]       3084.0    1.0  \n",
-       "beta_ps[4]       2179.0    1.0  \n",
-       "beta_ps[5]       2872.0    1.0  \n",
-       "beta_ps[6]       2772.0    1.0  \n",
-       "beta_ps[7]       2651.0    1.0  \n",
-       "beta_ps[8]       2295.0    1.0  \n",
-       "beta_ps[9]       2742.0    1.0  \n",
-       "beta_ps[10]      2505.0    1.0  \n",
-       "beta_ps[11]      3183.0    1.0  \n",
-       "beta_ps[12]      3270.0    1.0  \n",
-       "beta_ps[13]      2724.0    1.0  "
+       "alpha_trt        2938.0    1.0  \n",
+       "beta_trt_[x1]    2955.0    1.0  \n",
+       "beta_trt_[x2]    2817.0    1.0  \n",
+       "alpha_outcome    2260.0    1.0  \n",
+       "beta_[trt]       2694.0    1.0  \n",
+       "beta_[x1]        2896.0    1.0  \n",
+       "beta_[x2]        2605.0    1.0  \n",
+       "beta_ps[0]       2779.0    1.0  \n",
+       "beta_ps[1]       3088.0    1.0  \n",
+       "beta_ps[2]       2921.0    1.0  \n",
+       "beta_ps[3]       2826.0    1.0  \n",
+       "beta_ps[4]       2753.0    1.0  \n",
+       "beta_ps[5]       2950.0    1.0  \n",
+       "beta_ps[6]       2525.0    1.0  \n",
+       "beta_ps[7]       2738.0    1.0  \n",
+       "beta_ps[8]       2658.0    1.0  \n",
+       "beta_ps[9]       2282.0    1.0  \n",
+       "beta_ps[10]      3106.0    1.0  \n",
+       "beta_ps[11]      2893.0    1.0  \n",
+       "beta_ps[12]      3111.0    1.0  \n",
+       "beta_ps[13]      2852.0    1.0  "
       ]
      },
-     "execution_count": 240,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -915,7 +949,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 241,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -928,7 +962,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 242,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
@@ -941,7 +975,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4fb8c45316e9449ebeacf25eee891260",
+       "model_id": "df882e204ead4e5ea3c880c3427fc31d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -972,7 +1006,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "90e449b1c7fb4b288a6195429796d045",
+       "model_id": "5e04d78278864bb986e83191b2cd1ba8",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1012,7 +1046,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 243,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
@@ -1389,14 +1423,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(7.51624705)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a30f93b2-cdd7-4bc9-89ad-8ff3a3744aaa' class='xr-array-in' type='checkbox' checked><label for='section-a30f93b2-cdd7-4bc9-89ad-8ff3a3744aaa' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.516</span></div><div class='xr-array-data'><pre>array(7.51624705)</pre></div></div></li><li class='xr-section-item'><input id='section-1d9dd114-b2a7-4e81-8276-35a77573dbc1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d9dd114-b2a7-4e81-8276-35a77573dbc1' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-26602564-3c35-48c3-b204-7a9ca4c523e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-26602564-3c35-48c3-b204-7a9ca4c523e4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e35530e6-a0ab-4990-8a5d-ee2125e24a36' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e35530e6-a0ab-4990-8a5d-ee2125e24a36' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(7.39726337)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fe9f6e40-a216-48be-a787-1d2cce30c849' class='xr-array-in' type='checkbox' checked><label for='section-fe9f6e40-a216-48be-a787-1d2cce30c849' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.397</span></div><div class='xr-array-data'><pre>array(7.39726337)</pre></div></div></li><li class='xr-section-item'><input id='section-f4bd8ac4-9a9b-419a-886f-b1f29a82bd26' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f4bd8ac4-9a9b-419a-886f-b1f29a82bd26' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-039c799e-9ffe-4f1f-bcc9-6b89921d9cd4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-039c799e-9ffe-4f1f-bcc9-6b89921d9cd4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c2fa7839-f671-47b5-a93d-738e526d01c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c2fa7839-f671-47b5-a93d-738e526d01c4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(7.51624705)"
+       "array(7.39726337)"
       ]
      },
-     "execution_count": 243,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1407,7 +1441,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 244,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -1784,14 +1818,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(5.51650717)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ddaf5a3d-a886-4473-9667-9b980fc4d096' class='xr-array-in' type='checkbox' checked><label for='section-ddaf5a3d-a886-4473-9667-9b980fc4d096' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.517</span></div><div class='xr-array-data'><pre>array(5.51650717)</pre></div></div></li><li class='xr-section-item'><input id='section-f6666815-fe7f-456a-8809-601bc50403c0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6666815-fe7f-456a-8809-601bc50403c0' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-74db7a6f-7c5a-407f-af3d-828532e2fdbe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-74db7a6f-7c5a-407f-af3d-828532e2fdbe' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a3d08ef9-f9ae-4f87-97fd-3a9e5af6fc0f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3d08ef9-f9ae-4f87-97fd-3a9e5af6fc0f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(5.51594154)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e28ac29a-3c82-488d-ae39-cbbed76f461b' class='xr-array-in' type='checkbox' checked><label for='section-e28ac29a-3c82-488d-ae39-cbbed76f461b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.516</span></div><div class='xr-array-data'><pre>array(5.51594154)</pre></div></div></li><li class='xr-section-item'><input id='section-91f904fd-75e1-4970-97ff-ecf94fd594e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91f904fd-75e1-4970-97ff-ecf94fd594e3' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-05deade1-2091-4464-87d0-d25baba19d5b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-05deade1-2091-4464-87d0-d25baba19d5b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-16b17f3c-b0c8-4340-9d0a-850478ae30a9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-16b17f3c-b0c8-4340-9d0a-850478ae30a9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(5.51650717)"
+       "array(5.51594154)"
       ]
      },
-     "execution_count": 244,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1802,7 +1836,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 245,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -2179,14 +2213,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(1.99973988)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c09a8497-57cc-4ee9-afe3-5a99aa36aa57' class='xr-array-in' type='checkbox' checked><label for='section-c09a8497-57cc-4ee9-afe3-5a99aa36aa57' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.0</span></div><div class='xr-array-data'><pre>array(1.99973988)</pre></div></div></li><li class='xr-section-item'><input id='section-dbccba37-ed42-49ee-99e7-55d2ac58837f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dbccba37-ed42-49ee-99e7-55d2ac58837f' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6ae3fef7-eba8-4c47-ae16-31daa991b956' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6ae3fef7-eba8-4c47-ae16-31daa991b956' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-20311f9d-cf13-46ff-8d21-d5a51634ac48' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-20311f9d-cf13-46ff-8d21-d5a51634ac48' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(1.88132184)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0d8d27e3-ad15-44dd-ae0e-3b95c6f3a61f' class='xr-array-in' type='checkbox' checked><label for='section-0d8d27e3-ad15-44dd-ae0e-3b95c6f3a61f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.881</span></div><div class='xr-array-data'><pre>array(1.88132184)</pre></div></div></li><li class='xr-section-item'><input id='section-8dff7b18-d22a-4e5a-b4b1-62a2610126ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8dff7b18-d22a-4e5a-b4b1-62a2610126ae' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5c5b98c1-5c18-4095-918d-84c37d89c12f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5c5b98c1-5c18-4095-918d-84c37d89c12f' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b2358069-8de5-4d3e-93de-85b0529911ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b2358069-8de5-4d3e-93de-85b0529911ae' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(1.99973988)"
+       "array(1.88132184)"
       ]
      },
-     "execution_count": 245,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2208,7 +2242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 246,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
@@ -2447,7 +2481,7 @@
        "[1752 rows x 12 columns]"
       ]
      },
-     "execution_count": 246,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2461,7 +2495,297 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 247,
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>         <td>outcome</td>     <th>  R-squared:         </th> <td>   0.885</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.885</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   2692.</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Tue, 08 Jul 2025</td> <th>  Prob (F-statistic):</th>  <td>  0.00</td>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>18:32:48</td>     <th>  Log-Likelihood:    </th> <td> -5386.7</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>  1752</td>      <th>  AIC:               </th> <td>1.079e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>  1746</td>      <th>  BIC:               </th> <td>1.082e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>     5</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "       <td></td>          <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>   <td>   76.2067</td> <td>    0.966</td> <td>   78.906</td> <td> 0.000</td> <td>   74.313</td> <td>   78.101</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>trt</th>         <td>  -10.4370</td> <td>    0.266</td> <td>  -39.163</td> <td> 0.000</td> <td>  -10.960</td> <td>   -9.914</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>income</th>      <td>   -0.0751</td> <td>    0.001</td> <td>  -72.563</td> <td> 0.000</td> <td>   -0.077</td> <td>   -0.073</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>temperature</th> <td>    1.0058</td> <td>    0.031</td> <td>   32.483</td> <td> 0.000</td> <td>    0.945</td> <td>    1.067</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>health</th>      <td>    0.1483</td> <td>    0.011</td> <td>   13.900</td> <td> 0.000</td> <td>    0.127</td> <td>    0.169</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>household</th>   <td>   -0.0155</td> <td>    0.089</td> <td>   -0.173</td> <td> 0.863</td> <td>   -0.191</td> <td>    0.160</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>60.116</td> <th>  Durbin-Watson:     </th> <td>   2.095</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td>  65.001</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td> 0.462</td> <th>  Prob(JB):          </th> <td>7.68e-15</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 2.813</td> <th>  Cond. No.          </th> <td>7.14e+03</td>\n",
+       "</tr>\n",
+       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The condition number is large, 7.14e+03. This might indicate that there are<br/>strong multicollinearity or other numerical problems."
+      ],
+      "text/latex": [
+       "\\begin{center}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\toprule\n",
+       "\\textbf{Dep. Variable:}    &     outcome      & \\textbf{  R-squared:         } &     0.885   \\\\\n",
+       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.885   \\\\\n",
+       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     2692.   \\\\\n",
+       "\\textbf{Date:}             & Tue, 08 Jul 2025 & \\textbf{  Prob (F-statistic):} &     0.00    \\\\\n",
+       "\\textbf{Time:}             &     18:32:48     & \\textbf{  Log-Likelihood:    } &   -5386.7   \\\\\n",
+       "\\textbf{No. Observations:} &        1752      & \\textbf{  AIC:               } & 1.079e+04   \\\\\n",
+       "\\textbf{Df Residuals:}     &        1746      & \\textbf{  BIC:               } & 1.082e+04   \\\\\n",
+       "\\textbf{Df Model:}         &           5      & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lcccccc}\n",
+       "                     & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
+       "\\midrule\n",
+       "\\textbf{Intercept}   &      76.2067  &        0.966     &    78.906  &         0.000        &       74.313    &       78.101     \\\\\n",
+       "\\textbf{trt}         &     -10.4370  &        0.266     &   -39.163  &         0.000        &      -10.960    &       -9.914     \\\\\n",
+       "\\textbf{income}      &      -0.0751  &        0.001     &   -72.563  &         0.000        &       -0.077    &       -0.073     \\\\\n",
+       "\\textbf{temperature} &       1.0058  &        0.031     &    32.483  &         0.000        &        0.945    &        1.067     \\\\\n",
+       "\\textbf{health}      &       0.1483  &        0.011     &    13.900  &         0.000        &        0.127    &        0.169     \\\\\n",
+       "\\textbf{household}   &      -0.0155  &        0.089     &    -0.173  &         0.863        &       -0.191    &        0.160     \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\textbf{Omnibus:}       & 60.116 & \\textbf{  Durbin-Watson:     } &    2.095  \\\\\n",
+       "\\textbf{Prob(Omnibus):} &  0.000 & \\textbf{  Jarque-Bera (JB):  } &   65.001  \\\\\n",
+       "\\textbf{Skew:}          &  0.462 & \\textbf{  Prob(JB):          } & 7.68e-15  \\\\\n",
+       "\\textbf{Kurtosis:}      &  2.813 & \\textbf{  Cond. No.          } & 7.14e+03  \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "%\\caption{OLS Regression Results}\n",
+       "\\end{center}\n",
+       "\n",
+       "Notes: \\newline\n",
+       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n",
+       " [2] The condition number is large, 7.14e+03. This might indicate that there are \\newline\n",
+       " strong multicollinearity or other numerical problems."
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:                outcome   R-squared:                       0.885\n",
+       "Model:                            OLS   Adj. R-squared:                  0.885\n",
+       "Method:                 Least Squares   F-statistic:                     2692.\n",
+       "Date:                Tue, 08 Jul 2025   Prob (F-statistic):               0.00\n",
+       "Time:                        18:32:48   Log-Likelihood:                -5386.7\n",
+       "No. Observations:                1752   AIC:                         1.079e+04\n",
+       "Df Residuals:                    1746   BIC:                         1.082e+04\n",
+       "Df Model:                           5                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "===============================================================================\n",
+       "                  coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "-------------------------------------------------------------------------------\n",
+       "Intercept      76.2067      0.966     78.906      0.000      74.313      78.101\n",
+       "trt           -10.4370      0.266    -39.163      0.000     -10.960      -9.914\n",
+       "income         -0.0751      0.001    -72.563      0.000      -0.077      -0.073\n",
+       "temperature     1.0058      0.031     32.483      0.000       0.945       1.067\n",
+       "health          0.1483      0.011     13.900      0.000       0.127       0.169\n",
+       "household      -0.0155      0.089     -0.173      0.863      -0.191       0.160\n",
+       "==============================================================================\n",
+       "Omnibus:                       60.116   Durbin-Watson:                   2.095\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               65.001\n",
+       "Skew:                           0.462   Prob(JB):                     7.68e-15\n",
+       "Kurtosis:                       2.813   Cond. No.                     7.14e+03\n",
+       "==============================================================================\n",
+       "\n",
+       "Notes:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "[2] The condition number is large, 7.14e+03. This might indicate that there are\n",
+       "strong multicollinearity or other numerical problems.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import statsmodels.formula.api as smf\n",
+    "\n",
+    "res = smf.ols(\n",
+    "    \"outcome ~ trt + income + temperature + health + household\", nets_df\n",
+    ").fit()\n",
+    "res.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization terminated successfully.\n",
+      "         Current function value: 0.632368\n",
+      "         Iterations 5\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>Logit Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>          <td>trt</td>       <th>  No. Observations:  </th>  <td>  1752</td>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                 <td>Logit</td>      <th>  Df Residuals:      </th>  <td>  1747</td>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>                 <td>MLE</td>       <th>  Df Model:          </th>  <td>     4</td>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>            <td>Tue, 08 Jul 2025</td> <th>  Pseudo R-squ.:     </th>  <td>0.05357</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                <td>18:33:10</td>     <th>  Log-Likelihood:    </th> <td> -1107.9</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>converged:</th>             <td>True</td>       <th>  LL-Null:           </th> <td> -1170.6</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>     <td>nonrobust</td>    <th>  LLR p-value:       </th> <td>3.704e-26</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "       <td></td>          <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>   <td>   -1.8249</td> <td>    0.395</td> <td>   -4.616</td> <td> 0.000</td> <td>   -2.600</td> <td>   -1.050</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>income</th>      <td>    0.0021</td> <td>    0.000</td> <td>    4.923</td> <td> 0.000</td> <td>    0.001</td> <td>    0.003</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>temperature</th> <td>   -0.0582</td> <td>    0.013</td> <td>   -4.626</td> <td> 0.000</td> <td>   -0.083</td> <td>   -0.034</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>health</th>      <td>    0.0071</td> <td>    0.004</td> <td>    1.649</td> <td> 0.099</td> <td>   -0.001</td> <td>    0.016</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>household</th>   <td>    0.1601</td> <td>    0.036</td> <td>    4.436</td> <td> 0.000</td> <td>    0.089</td> <td>    0.231</td>\n",
+       "</tr>\n",
+       "</table>"
+      ],
+      "text/latex": [
+       "\\begin{center}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\toprule\n",
+       "\\textbf{Dep. Variable:}   &       trt        & \\textbf{  No. Observations:  } &     1752    \\\\\n",
+       "\\textbf{Model:}           &      Logit       & \\textbf{  Df Residuals:      } &     1747    \\\\\n",
+       "\\textbf{Method:}          &       MLE        & \\textbf{  Df Model:          } &        4    \\\\\n",
+       "\\textbf{Date:}            & Tue, 08 Jul 2025 & \\textbf{  Pseudo R-squ.:     } &  0.05357    \\\\\n",
+       "\\textbf{Time:}            &     18:33:10     & \\textbf{  Log-Likelihood:    } &   -1107.9   \\\\\n",
+       "\\textbf{converged:}       &       True       & \\textbf{  LL-Null:           } &   -1170.6   \\\\\n",
+       "\\textbf{Covariance Type:} &    nonrobust     & \\textbf{  LLR p-value:       } & 3.704e-26   \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lcccccc}\n",
+       "                     & \\textbf{coef} & \\textbf{std err} & \\textbf{z} & \\textbf{P$> |$z$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
+       "\\midrule\n",
+       "\\textbf{Intercept}   &      -1.8249  &        0.395     &    -4.616  &         0.000        &       -2.600    &       -1.050     \\\\\n",
+       "\\textbf{income}      &       0.0021  &        0.000     &     4.923  &         0.000        &        0.001    &        0.003     \\\\\n",
+       "\\textbf{temperature} &      -0.0582  &        0.013     &    -4.626  &         0.000        &       -0.083    &       -0.034     \\\\\n",
+       "\\textbf{health}      &       0.0071  &        0.004     &     1.649  &         0.099        &       -0.001    &        0.016     \\\\\n",
+       "\\textbf{household}   &       0.1601  &        0.036     &     4.436  &         0.000        &        0.089    &        0.231     \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "%\\caption{Logit Regression Results}\n",
+       "\\end{center}"
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                           Logit Regression Results                           \n",
+       "==============================================================================\n",
+       "Dep. Variable:                    trt   No. Observations:                 1752\n",
+       "Model:                          Logit   Df Residuals:                     1747\n",
+       "Method:                           MLE   Df Model:                            4\n",
+       "Date:                Tue, 08 Jul 2025   Pseudo R-squ.:                 0.05357\n",
+       "Time:                        18:33:10   Log-Likelihood:                -1107.9\n",
+       "converged:                       True   LL-Null:                       -1170.6\n",
+       "Covariance Type:            nonrobust   LLR p-value:                 3.704e-26\n",
+       "===============================================================================\n",
+       "                  coef    std err          z      P>|z|      [0.025      0.975]\n",
+       "-------------------------------------------------------------------------------\n",
+       "Intercept      -1.8249      0.395     -4.616      0.000      -2.600      -1.050\n",
+       "income          0.0021      0.000      4.923      0.000       0.001       0.003\n",
+       "temperature    -0.0582      0.013     -4.626      0.000      -0.083      -0.034\n",
+       "health          0.0071      0.004      1.649      0.099      -0.001       0.016\n",
+       "household       0.1601      0.036      4.436      0.000       0.089       0.231\n",
+       "===============================================================================\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "res = smf.logit(\"trt ~ income + temperature + health + household\", nets_df).fit()\n",
+    "res.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
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        "<!-- spline_features -->\n",
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+       "<g id=\"edge13\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M179.65,-262.9C188.82,-252.49 199.59,-240.77 210,-230.73 217.89,-223.11 226.69,-215.33 235.22,-208.11\"/>\n",
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+       "<text text-anchor=\"middle\" x=\"152\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"152\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
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-       "<!-- beta_ -->\n",
+       "<!-- beta_trt_std -->\n",
        "<g id=\"node10\" class=\"node\">\n",
+       "<title>beta_trt_std</title>\n",
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+       "<text text-anchor=\"middle\" x=\"150\" y=\"-526.06\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"150\" y=\"-509.56\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_trt_std&#45;&gt;beta_trt_ -->\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
+       "<title>beta_trt_std&#45;&gt;beta_trt_</title>\n",
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+       "<text text-anchor=\"middle\" x=\"490\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
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+       "<!-- beta_std -->\n",
+       "<g id=\"node12\" class=\"node\">\n",
+       "<title>beta_std</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"490\" cy=\"-413.79\" rx=\"43.13\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"490\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_std</text>\n",
+       "<text text-anchor=\"middle\" x=\"490\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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+       "</g>\n",
+       "<!-- beta_std&#45;&gt;beta_ -->\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
+       "<title>beta_std&#45;&gt;beta_</title>\n",
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        "<!-- beta_ps -->\n",
-       "<g id=\"node11\" class=\"node\">\n",
+       "<g id=\"node13\" class=\"node\">\n",
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+       "<text text-anchor=\"middle\" x=\"271\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- beta_ps&#45;&gt;spline_features -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
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        "<!-- sigma -->\n",
-       "<g id=\"node13\" class=\"node\">\n",
+       "<g id=\"node14\" class=\"node\">\n",
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+       "<text text-anchor=\"middle\" x=\"611\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text text-anchor=\"middle\" x=\"611\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge9\" class=\"edge\">\n",
+       "<g id=\"edge10\" class=\"edge\">\n",
        "<title>sigma&#45;&gt;like</title>\n",
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+       "<title>alpha_outcome</title>\n",
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+       "<g id=\"edge15\" class=\"edge\">\n",
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        "<!-- alpha_trt -->\n",
-       "<g id=\"node14\" class=\"node\">\n",
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        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge3\" class=\"edge\">\n",
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        "<title>alpha_trt&#45;&gt;p</title>\n",
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        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x332078d90>"
+       "<graphviz.graphs.Digraph at 0x330285210>"
       ]
      },
-     "execution_count": 247,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2726,11 +3078,19 @@
     "\n",
     "N = nets_df.shape[0]\n",
     "X_trt = nets_df[[\"income\", \"temperature\", \"health\"]].values\n",
+    "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
     "X_outcome = nets_df[[\"trt\", \"income\", \"temperature\", \"health\"]].values\n",
+    "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
     "T_data = nets_df[\"trt\"].values\n",
+    "X_outcome[:, 0] = T_data\n",
     "Y_data = nets_df[\"outcome\"].values\n",
     "\n",
-    "priors = {\"beta_\": [0, 5], \"beta_trt\": [0, 5]}\n",
+    "priors = {\n",
+    "    \"beta_\": [0, 1],\n",
+    "    \"beta_trt\": [0, 1],\n",
+    "    \"alpha_trt\": [0, 1],\n",
+    "    \"alpha_outcome\": [40, 10],\n",
+    "}\n",
     "net_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
     "\n",
     "pm.model_to_graphviz(net_model)"
@@ -2738,7 +3098,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 248,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
@@ -2748,7 +3108,7 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_, beta_, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
+      "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n"
      ]
@@ -2756,7 +3116,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bcb431a7afcf418f8a1cb9b667343491",
+       "model_id": "ef1065e4abeb47118b6a816843d863bb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2789,18 +3149,19 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 100 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 18 seconds.\n"
      ]
     }
    ],
    "source": [
     "with net_model:\n",
-    "    idata_net = pm.sample(tune=2000, target_accept=0.97)"
+    "    # start = pm.find_MAP()\n",
+    "    idata_net = pm.sample(tune=2000, target_accept=0.98)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 249,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
@@ -2837,219 +3198,243 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-0.483</td>\n",
+       "      <td>0.052</td>\n",
+       "      <td>-0.576</td>\n",
+       "      <td>-0.382</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4206.0</td>\n",
+       "      <td>2931.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.462</td>\n",
-       "      <td>0.440</td>\n",
-       "      <td>-10.268</td>\n",
-       "      <td>-8.662</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>4147.0</td>\n",
-       "      <td>3036.0</td>\n",
+       "      <td>-9.851</td>\n",
+       "      <td>0.259</td>\n",
+       "      <td>-10.315</td>\n",
+       "      <td>-9.355</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4117.0</td>\n",
+       "      <td>2872.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-0.044</td>\n",
+       "      <td>-13.650</td>\n",
+       "      <td>0.189</td>\n",
+       "      <td>-14.008</td>\n",
+       "      <td>-13.300</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>-0.040</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>2086.0</td>\n",
-       "      <td>2376.0</td>\n",
+       "      <td>3402.0</td>\n",
+       "      <td>2942.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[temperature]</th>\n",
-       "      <td>2.340</td>\n",
-       "      <td>0.045</td>\n",
-       "      <td>2.262</td>\n",
-       "      <td>2.430</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>4.082</td>\n",
+       "      <td>0.129</td>\n",
+       "      <td>3.848</td>\n",
+       "      <td>4.336</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>2497.0</td>\n",
-       "      <td>2791.0</td>\n",
+       "      <td>5250.0</td>\n",
+       "      <td>2937.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[health]</th>\n",
-       "      <td>0.008</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>-0.025</td>\n",
-       "      <td>0.042</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>2515.0</td>\n",
-       "      <td>2726.0</td>\n",
+       "      <td>2.217</td>\n",
+       "      <td>0.188</td>\n",
+       "      <td>1.857</td>\n",
+       "      <td>2.563</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3404.0</td>\n",
+       "      <td>2487.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.024</td>\n",
-       "      <td>0.966</td>\n",
-       "      <td>-1.878</td>\n",
-       "      <td>1.699</td>\n",
+       "      <td>0.019</td>\n",
+       "      <td>1.009</td>\n",
+       "      <td>-1.932</td>\n",
+       "      <td>1.914</td>\n",
        "      <td>0.014</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>4606.0</td>\n",
-       "      <td>3433.0</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>5408.0</td>\n",
+       "      <td>2601.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.175</td>\n",
-       "      <td>0.966</td>\n",
-       "      <td>-1.589</td>\n",
-       "      <td>2.086</td>\n",
+       "      <td>-0.231</td>\n",
+       "      <td>0.951</td>\n",
+       "      <td>-2.057</td>\n",
+       "      <td>1.504</td>\n",
+       "      <td>0.013</td>\n",
        "      <td>0.015</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>4397.0</td>\n",
-       "      <td>3169.0</td>\n",
+       "      <td>5603.0</td>\n",
+       "      <td>3014.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[2]</th>\n",
-       "      <td>0.427</td>\n",
-       "      <td>0.967</td>\n",
-       "      <td>-1.455</td>\n",
-       "      <td>2.182</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>4161.0</td>\n",
-       "      <td>2692.0</td>\n",
+       "      <td>0.432</td>\n",
+       "      <td>0.900</td>\n",
+       "      <td>-1.327</td>\n",
+       "      <td>2.006</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>4733.0</td>\n",
+       "      <td>3148.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[3]</th>\n",
-       "      <td>0.519</td>\n",
-       "      <td>0.966</td>\n",
-       "      <td>-1.243</td>\n",
-       "      <td>2.353</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>3763.0</td>\n",
-       "      <td>2926.0</td>\n",
+       "      <td>0.559</td>\n",
+       "      <td>0.892</td>\n",
+       "      <td>-1.097</td>\n",
+       "      <td>2.200</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>4335.0</td>\n",
+       "      <td>2963.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[4]</th>\n",
-       "      <td>0.584</td>\n",
-       "      <td>0.980</td>\n",
-       "      <td>-1.241</td>\n",
-       "      <td>2.441</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>4084.0</td>\n",
-       "      <td>3062.0</td>\n",
+       "      <td>-0.019</td>\n",
+       "      <td>0.892</td>\n",
+       "      <td>-1.641</td>\n",
+       "      <td>1.712</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>5152.0</td>\n",
+       "      <td>3039.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[5]</th>\n",
-       "      <td>0.997</td>\n",
-       "      <td>0.941</td>\n",
-       "      <td>-0.765</td>\n",
-       "      <td>2.751</td>\n",
-       "      <td>0.016</td>\n",
+       "      <td>-0.095</td>\n",
+       "      <td>0.844</td>\n",
+       "      <td>-1.641</td>\n",
+       "      <td>1.494</td>\n",
        "      <td>0.012</td>\n",
-       "      <td>3495.0</td>\n",
-       "      <td>2891.0</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>4887.0</td>\n",
+       "      <td>3230.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[6]</th>\n",
-       "      <td>0.923</td>\n",
-       "      <td>0.957</td>\n",
-       "      <td>-0.773</td>\n",
-       "      <td>2.791</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>3838.0</td>\n",
-       "      <td>3188.0</td>\n",
+       "      <td>-0.119</td>\n",
+       "      <td>0.882</td>\n",
+       "      <td>-1.730</td>\n",
+       "      <td>1.503</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>4211.0</td>\n",
+       "      <td>3171.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[7]</th>\n",
-       "      <td>0.972</td>\n",
-       "      <td>0.957</td>\n",
-       "      <td>-0.791</td>\n",
-       "      <td>2.779</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>3724.0</td>\n",
-       "      <td>3039.0</td>\n",
+       "      <td>0.562</td>\n",
+       "      <td>0.834</td>\n",
+       "      <td>-0.937</td>\n",
+       "      <td>2.210</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>3850.0</td>\n",
+       "      <td>3176.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[8]</th>\n",
-       "      <td>0.720</td>\n",
-       "      <td>0.962</td>\n",
-       "      <td>-0.983</td>\n",
-       "      <td>2.651</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>3872.0</td>\n",
-       "      <td>2796.0</td>\n",
+       "      <td>-0.547</td>\n",
+       "      <td>0.859</td>\n",
+       "      <td>-2.074</td>\n",
+       "      <td>1.134</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>4928.0</td>\n",
+       "      <td>2753.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[9]</th>\n",
-       "      <td>0.586</td>\n",
-       "      <td>0.961</td>\n",
-       "      <td>-1.309</td>\n",
-       "      <td>2.315</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>4312.0</td>\n",
-       "      <td>2762.0</td>\n",
+       "      <td>-1.006</td>\n",
+       "      <td>0.878</td>\n",
+       "      <td>-2.585</td>\n",
+       "      <td>0.681</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>4968.0</td>\n",
+       "      <td>3068.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[10]</th>\n",
-       "      <td>0.506</td>\n",
-       "      <td>0.969</td>\n",
-       "      <td>-1.379</td>\n",
-       "      <td>2.276</td>\n",
-       "      <td>0.017</td>\n",
+       "      <td>-0.018</td>\n",
+       "      <td>0.897</td>\n",
+       "      <td>-1.689</td>\n",
+       "      <td>1.661</td>\n",
+       "      <td>0.013</td>\n",
        "      <td>0.014</td>\n",
-       "      <td>3284.0</td>\n",
-       "      <td>2918.0</td>\n",
+       "      <td>4584.0</td>\n",
+       "      <td>2798.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[11]</th>\n",
-       "      <td>0.433</td>\n",
-       "      <td>0.982</td>\n",
-       "      <td>-1.417</td>\n",
-       "      <td>2.299</td>\n",
-       "      <td>0.016</td>\n",
+       "      <td>0.202</td>\n",
+       "      <td>0.934</td>\n",
+       "      <td>-1.468</td>\n",
+       "      <td>2.036</td>\n",
        "      <td>0.013</td>\n",
-       "      <td>3976.0</td>\n",
-       "      <td>2958.0</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>4988.0</td>\n",
+       "      <td>2722.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[12]</th>\n",
-       "      <td>0.502</td>\n",
-       "      <td>0.990</td>\n",
-       "      <td>-1.421</td>\n",
-       "      <td>2.222</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>3434.0</td>\n",
-       "      <td>2656.0</td>\n",
+       "      <td>0.299</td>\n",
+       "      <td>0.921</td>\n",
+       "      <td>-1.319</td>\n",
+       "      <td>2.108</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>5434.0</td>\n",
+       "      <td>3252.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[13]</th>\n",
        "      <td>0.001</td>\n",
-       "      <td>1.008</td>\n",
-       "      <td>-1.923</td>\n",
-       "      <td>1.889</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>3865.0</td>\n",
-       "      <td>2865.0</td>\n",
+       "      <td>1.015</td>\n",
+       "      <td>-1.847</td>\n",
+       "      <td>1.922</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>5180.0</td>\n",
+       "      <td>2730.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>39.438</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>39.044</td>\n",
+       "      <td>39.797</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3195.0</td>\n",
+       "      <td>2766.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3057,79 +3442,128 @@
        "</div>"
       ],
       "text/plain": [
-       "                     mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[trt]         -9.462  0.440 -10.268   -8.662      0.007    0.005   \n",
-       "beta_[income]      -0.044  0.002  -0.047   -0.040      0.000    0.000   \n",
-       "beta_[temperature]  2.340  0.045   2.262    2.430      0.001    0.001   \n",
-       "beta_[health]       0.008  0.018  -0.025    0.042      0.000    0.000   \n",
-       "beta_ps[0]         -0.024  0.966  -1.878    1.699      0.014    0.015   \n",
-       "beta_ps[1]          0.175  0.966  -1.589    2.086      0.015    0.014   \n",
-       "beta_ps[2]          0.427  0.967  -1.455    2.182      0.015    0.015   \n",
-       "beta_ps[3]          0.519  0.966  -1.243    2.353      0.016    0.013   \n",
-       "beta_ps[4]          0.584  0.980  -1.241    2.441      0.015    0.013   \n",
-       "beta_ps[5]          0.997  0.941  -0.765    2.751      0.016    0.012   \n",
-       "beta_ps[6]          0.923  0.957  -0.773    2.791      0.015    0.012   \n",
-       "beta_ps[7]          0.972  0.957  -0.791    2.779      0.016    0.012   \n",
-       "beta_ps[8]          0.720  0.962  -0.983    2.651      0.015    0.013   \n",
-       "beta_ps[9]          0.586  0.961  -1.309    2.315      0.015    0.013   \n",
-       "beta_ps[10]         0.506  0.969  -1.379    2.276      0.017    0.014   \n",
-       "beta_ps[11]         0.433  0.982  -1.417    2.299      0.016    0.013   \n",
-       "beta_ps[12]         0.502  0.990  -1.421    2.222      0.017    0.015   \n",
-       "beta_ps[13]         0.001  1.008  -1.923    1.889      0.016    0.015   \n",
-       "\n",
-       "                    ess_bulk  ess_tail  r_hat  \n",
-       "beta_[trt]            4147.0    3036.0    1.0  \n",
-       "beta_[income]         2086.0    2376.0    1.0  \n",
-       "beta_[temperature]    2497.0    2791.0    1.0  \n",
-       "beta_[health]         2515.0    2726.0    1.0  \n",
-       "beta_ps[0]            4606.0    3433.0    1.0  \n",
-       "beta_ps[1]            4397.0    3169.0    1.0  \n",
-       "beta_ps[2]            4161.0    2692.0    1.0  \n",
-       "beta_ps[3]            3763.0    2926.0    1.0  \n",
-       "beta_ps[4]            4084.0    3062.0    1.0  \n",
-       "beta_ps[5]            3495.0    2891.0    1.0  \n",
-       "beta_ps[6]            3838.0    3188.0    1.0  \n",
-       "beta_ps[7]            3724.0    3039.0    1.0  \n",
-       "beta_ps[8]            3872.0    2796.0    1.0  \n",
-       "beta_ps[9]            4312.0    2762.0    1.0  \n",
-       "beta_ps[10]           3284.0    2918.0    1.0  \n",
-       "beta_ps[11]           3976.0    2958.0    1.0  \n",
-       "beta_ps[12]           3434.0    2656.0    1.0  \n",
-       "beta_ps[13]           3865.0    2865.0    1.0  "
+       "                      mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
+       "alpha_trt           -0.483  0.052  -0.576   -0.382      0.001    0.001   \n",
+       "beta_[trt]          -9.851  0.259 -10.315   -9.355      0.004    0.003   \n",
+       "beta_[income]      -13.650  0.189 -14.008  -13.300      0.003    0.002   \n",
+       "beta_[temperature]   4.082  0.129   3.848    4.336      0.002    0.001   \n",
+       "beta_[health]        2.217  0.188   1.857    2.563      0.003    0.002   \n",
+       "beta_ps[0]           0.019  1.009  -1.932    1.914      0.014    0.016   \n",
+       "beta_ps[1]          -0.231  0.951  -2.057    1.504      0.013    0.015   \n",
+       "beta_ps[2]           0.432  0.900  -1.327    2.006      0.013    0.013   \n",
+       "beta_ps[3]           0.559  0.892  -1.097    2.200      0.014    0.012   \n",
+       "beta_ps[4]          -0.019  0.892  -1.641    1.712      0.012    0.014   \n",
+       "beta_ps[5]          -0.095  0.844  -1.641    1.494      0.012    0.013   \n",
+       "beta_ps[6]          -0.119  0.882  -1.730    1.503      0.014    0.013   \n",
+       "beta_ps[7]           0.562  0.834  -0.937    2.210      0.013    0.011   \n",
+       "beta_ps[8]          -0.547  0.859  -2.074    1.134      0.012    0.011   \n",
+       "beta_ps[9]          -1.006  0.878  -2.585    0.681      0.012    0.011   \n",
+       "beta_ps[10]         -0.018  0.897  -1.689    1.661      0.013    0.014   \n",
+       "beta_ps[11]          0.202  0.934  -1.468    2.036      0.013    0.015   \n",
+       "beta_ps[12]          0.299  0.921  -1.319    2.108      0.012    0.013   \n",
+       "beta_ps[13]          0.001  1.015  -1.847    1.922      0.014    0.018   \n",
+       "alpha_outcome       39.438  0.201  39.044   39.797      0.004    0.003   \n",
+       "\n",
+       "                    ess_bulk  ess_tail  r_hat  \n",
+       "alpha_trt             4206.0    2931.0    1.0  \n",
+       "beta_[trt]            4117.0    2872.0    1.0  \n",
+       "beta_[income]         3402.0    2942.0    1.0  \n",
+       "beta_[temperature]    5250.0    2937.0    1.0  \n",
+       "beta_[health]         3404.0    2487.0    1.0  \n",
+       "beta_ps[0]            5408.0    2601.0    1.0  \n",
+       "beta_ps[1]            5603.0    3014.0    1.0  \n",
+       "beta_ps[2]            4733.0    3148.0    1.0  \n",
+       "beta_ps[3]            4335.0    2963.0    1.0  \n",
+       "beta_ps[4]            5152.0    3039.0    1.0  \n",
+       "beta_ps[5]            4887.0    3230.0    1.0  \n",
+       "beta_ps[6]            4211.0    3171.0    1.0  \n",
+       "beta_ps[7]            3850.0    3176.0    1.0  \n",
+       "beta_ps[8]            4928.0    2753.0    1.0  \n",
+       "beta_ps[9]            4968.0    3068.0    1.0  \n",
+       "beta_ps[10]           4584.0    2798.0    1.0  \n",
+       "beta_ps[11]           4988.0    2722.0    1.0  \n",
+       "beta_ps[12]           5434.0    3252.0    1.0  \n",
+       "beta_ps[13]           5180.0    2730.0    1.0  \n",
+       "alpha_outcome         3195.0    2766.0    1.0  "
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(idata_net, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## LaLonde Example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lalonde = pd.read_csv(\n",
+    "    \"https://vincentarelbundock.github.io/Rdatasets/csv/MatchIt/lalonde.csv\"\n",
+    ")\n",
+    "lalonde[[\"hispan\", \"white\"]] = pd.get_dummies(lalonde[\"race\"], drop_first=True)\n",
+    "lalonde.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 720x480 with 1 Axes>"
       ]
      },
-     "execution_count": 249,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "az.summary(idata_net, var_names=[\"beta_\", \"beta_ps\"])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## LaLonde Example"
+    "from matplotlib import pyplot as plt\n",
+    "\n",
+    "plt.hist(lalonde[\"re78\"], bins=30, alpha=0.5, ec=\"black\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 250,
+   "execution_count": 79,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "treat\n",
+       "0    6984.169742\n",
+       "1    6349.143530\n",
+       "Name: re78, dtype: float64"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "lalonde = pd.read_csv(\n",
-    "    \"https://vincentarelbundock.github.io/Rdatasets/csv/MatchIt/lalonde.csv\"\n",
-    ")\n",
-    "lalonde[[\"hispan\", \"white\"]] = pd.get_dummies(lalonde[\"race\"], drop_first=True)\n",
-    "lalonde.dropna(inplace=True)"
+    "lalonde.groupby(\"treat\")[\"re78\"].mean()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 251,
+   "execution_count": 93,
    "metadata": {},
    "outputs": [
     {
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        "</g>\n",
        "<!-- p -->\n",
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        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
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        "</g>\n",
        "<!-- like -->\n",
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@@ -3222,46 +3656,34 @@
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        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge12\" class=\"edge\">\n",
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        "<title>X_outcome&#45;&gt;like</title>\n",
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-       "<g id=\"edge10\" class=\"edge\">\n",
-       "<title>p&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M155.95,-267.51C165.7,-253.44 178.5,-236.59 192,-223.32 198.81,-216.62 206.62,-210.14 214.43,-204.23\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"216.31,-207.19 222.32,-198.46 212.18,-201.54 216.31,-207.19\"/>\n",
-       "</g>\n",
-       "<!-- Y -->\n",
-       "<g id=\"node5\" class=\"node\">\n",
-       "<title>Y</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M273,-98C273,-98 243,-98 243,-98 237,-98 231,-92 231,-86 231,-86 231,-52.5 231,-52.5 231,-46.5 237,-40.5 243,-40.5 243,-40.5 273,-40.5 273,-40.5 279,-40.5 285,-46.5 285,-52.5 285,-52.5 285,-86 285,-86 285,-92 279,-98 273,-98\"/>\n",
-       "<text text-anchor=\"middle\" x=\"258\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
-       "<text text-anchor=\"middle\" x=\"258\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"258\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<!-- T -->\n",
+       "<g id=\"node8\" class=\"node\">\n",
+       "<title>T</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M155,-98C155,-98 125,-98 125,-98 119,-98 113,-92 113,-86 113,-86 113,-52.5 113,-52.5 113,-46.5 119,-40.5 125,-40.5 125,-40.5 155,-40.5 155,-40.5 161,-40.5 167,-46.5 167,-52.5 167,-52.5 167,-86 167,-86 167,-92 161,-98 155,-98\"/>\n",
+       "<text text-anchor=\"middle\" x=\"140\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">T</text>\n",
+       "<text text-anchor=\"middle\" x=\"140\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"140\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- t_pred&#45;&gt;T -->\n",
        "<g id=\"edge1\" class=\"edge\">\n",
@@ -3269,8 +3691,14 @@
        "<path fill=\"none\" stroke=\"black\" d=\"M140,-133.68C140,-125.83 140,-117.6 140,-109.76\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"143.5,-109.79 140,-99.79 136.5,-109.79 143.5,-109.79\"/>\n",
        "</g>\n",
+       "<!-- like&#45;&gt;Y -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>like&#45;&gt;Y</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M258,-133.68C258,-125.83 258,-117.6 258,-109.76\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"261.5,-109.79 258,-99.79 254.5,-109.79 261.5,-109.79\"/>\n",
+       "</g>\n",
        "<!-- spline_features -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
+       "<g id=\"node6\" class=\"node\">\n",
        "<title>spline_features</title>\n",
        "<polygon fill=\"none\" stroke=\"black\" points=\"298.88,-325.23 201.12,-325.23 201.12,-267.73 298.88,-267.73 298.88,-325.23\"/>\n",
        "<text text-anchor=\"middle\" x=\"250\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">spline_features</text>\n",
@@ -3278,16 +3706,22 @@
        "<text text-anchor=\"middle\" x=\"250\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- spline_features&#45;&gt;like -->\n",
-       "<g id=\"edge13\" class=\"edge\">\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
        "<title>spline_features&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M251.88,-267.38C252.68,-255.28 253.66,-240.73 254.58,-226.83\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"258.07,-227.09 255.25,-216.88 251.09,-226.62 258.07,-227.09\"/>\n",
        "</g>\n",
-       "<!-- like&#45;&gt;Y -->\n",
-       "<g id=\"edge2\" class=\"edge\">\n",
-       "<title>like&#45;&gt;Y</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M258,-133.68C258,-125.83 258,-117.6 258,-109.76\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"261.5,-109.79 258,-99.79 254.5,-109.79 261.5,-109.79\"/>\n",
+       "<!-- p&#45;&gt;t_pred -->\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
+       "<title>p&#45;&gt;t_pred</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M138.47,-267.38C138.67,-255.28 138.91,-240.73 139.15,-226.83\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"142.64,-226.94 139.31,-216.88 135.65,-226.82 142.64,-226.94\"/>\n",
+       "</g>\n",
+       "<!-- p&#45;&gt;like -->\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M155.95,-267.51C165.7,-253.44 178.5,-236.59 192,-223.32 198.81,-216.62 206.62,-210.14 214.43,-204.23\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"216.31,-207.19 222.32,-198.46 212.18,-201.54 216.31,-207.19\"/>\n",
        "</g>\n",
        "<!-- beta_trt_ -->\n",
        "<g id=\"node9\" class=\"node\">\n",
@@ -3298,7 +3732,7 @@
        "<text text-anchor=\"middle\" x=\"139\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
        "<title>beta_trt_&#45;&gt;p</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M138.69,-385.2C138.57,-369.8 138.43,-352.24 138.31,-336.9\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"141.81,-337.17 138.23,-327.19 134.81,-337.22 141.81,-337.17\"/>\n",
@@ -3312,7 +3746,7 @@
        "<text text-anchor=\"middle\" x=\"468\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
+       "<g id=\"edge12\" class=\"edge\">\n",
        "<title>beta_&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M448.83,-260.36C440.06,-247.11 428.57,-232.93 415,-223.32 383.91,-201.31 342.46,-189.29 309.95,-182.83\"/>\n",
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@@ -3331,33 +3765,33 @@
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        "</g>\n",
-       "<!-- alpha_outcome -->\n",
-       "<g id=\"node12\" class=\"node\">\n",
-       "<title>alpha_outcome</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"597\" cy=\"-296.48\" rx=\"70.18\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"597\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
-       "<text text-anchor=\"middle\" x=\"597\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"597\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
-       "</g>\n",
-       "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge11\" class=\"edge\">\n",
-       "<title>alpha_outcome&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M567.38,-259.55C554.49,-246.17 538.36,-232.12 521,-223.32 453.58,-189.12 365.46,-179.15 310.29,-176.42\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"310.69,-172.93 300.55,-176 310.39,-179.92 310.69,-172.93\"/>\n",
-       "</g>\n",
        "<!-- sigma -->\n",
-       "<g id=\"node13\" class=\"node\">\n",
+       "<g id=\"node12\" class=\"node\">\n",
        "<title>sigma</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"743\" cy=\"-296.48\" rx=\"57.45\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"743\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
-       "<text text-anchor=\"middle\" x=\"743\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"743\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Exponential</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"584\" cy=\"-296.48\" rx=\"57.45\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"584\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text text-anchor=\"middle\" x=\"584\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"584\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Exponential</text>\n",
        "</g>\n",
        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge9\" class=\"edge\">\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
        "<title>sigma&#45;&gt;like</title>\n",
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+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node13\" class=\"node\">\n",
+       "<title>alpha_outcome</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"730\" cy=\"-296.48\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"730\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"730\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"730\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
+       "<g id=\"edge13\" class=\"edge\">\n",
+       "<title>alpha_outcome&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M699.51,-259.78C685.81,-246.1 668.55,-231.77 650,-223.32 590.69,-196.3 403.28,-183.13 310.74,-178.14\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"311.09,-174.65 300.92,-177.62 310.72,-181.64 311.09,-174.65\"/>\n",
        "</g>\n",
        "<!-- alpha_trt -->\n",
        "<g id=\"node14\" class=\"node\">\n",
@@ -3368,7 +3802,7 @@
        "<text text-anchor=\"middle\" x=\"354\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge3\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>alpha_trt&#45;&gt;p</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M336.81,-388.61C328.55,-375.13 317.3,-361.2 303,-353.13 281.46,-340.98 214.8,-354.71 192,-345.13 184.87,-342.14 178.04,-337.82 171.77,-332.98\"/>\n",
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@@ -3377,10 +3811,10 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x30cb63130>"
+       "<graphviz.graphs.Digraph at 0x30d4ec100>"
       ]
      },
-     "execution_count": 251,
+     "execution_count": 93,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3398,30 +3832,41 @@
     "    .astype(np.int32)\n",
     "    .values\n",
     ")\n",
+    "# X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
     "X_outcome = (\n",
     "    lalonde[[\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
     "    .astype(np.int32)\n",
     "    .values\n",
     ")\n",
+    "# X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
     "T_data = lalonde[\"treat\"].values\n",
+    "# X_outcome[:, 0] = T_data\n",
     "Y_data = lalonde[\"re78\"].values\n",
     "\n",
-    "priors = {\"beta_\": [0, 4000], \"beta_trt\": [0, 4000]}\n",
     "\n",
-    "lalonde_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors)\n",
+    "priors = {\n",
+    "    \"beta_\": [0, 4000],\n",
+    "    \"beta_trt\": [0, 4000],\n",
+    "    \"alpha_trt\": [0, 1],\n",
+    "    \"alpha_outcome\": [2000, 500],\n",
+    "}\n",
+    "\n",
+    "lalonde_model = make_model(\n",
+    "    X_trt, X_outcome, T_data, Y_data, coords, priors, noncentred=False\n",
+    ")\n",
     "\n",
     "pm.model_to_graphviz(lalonde_model)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 252,
+   "execution_count": 94,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "24868856b49743f9804b3055ded06a58",
+       "model_id": "3ac08e600b364d798c7a0029d8156227",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3435,7 +3880,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e694effd671545e58a64a5ab491509af",
+       "model_id": "944999587bca4e14b3970c4722936425",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3449,7 +3894,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a73a3e33fda74d73b4a4fc9e8b22f640",
+       "model_id": "3d1171a2045540c0aa5c6a0312d4766d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3463,7 +3908,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "43060c054d91489da154002155ff876e",
+       "model_id": "475f2d2506834f7c9a4a3bcabfb39128",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3482,7 +3927,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 253,
+   "execution_count": 95,
    "metadata": {},
    "outputs": [
     {
@@ -3519,255 +3964,351 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-0.790</td>\n",
+       "      <td>0.715</td>\n",
+       "      <td>-2.141</td>\n",
+       "      <td>0.504</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>2236.0</td>\n",
+       "      <td>2896.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[age]</th>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>-0.019</td>\n",
+       "      <td>0.029</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>4471.0</td>\n",
+       "      <td>2740.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[educ]</th>\n",
+       "      <td>0.106</td>\n",
+       "      <td>0.052</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.198</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2601.0</td>\n",
+       "      <td>3087.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[hispan]</th>\n",
+       "      <td>-2.224</td>\n",
+       "      <td>0.359</td>\n",
+       "      <td>-2.903</td>\n",
+       "      <td>-1.567</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>4920.0</td>\n",
+       "      <td>2923.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[white]</th>\n",
+       "      <td>-3.180</td>\n",
+       "      <td>0.285</td>\n",
+       "      <td>-3.695</td>\n",
+       "      <td>-2.625</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>6046.0</td>\n",
+       "      <td>3012.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[married]</th>\n",
+       "      <td>-0.927</td>\n",
+       "      <td>0.266</td>\n",
+       "      <td>-1.433</td>\n",
+       "      <td>-0.449</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5344.0</td>\n",
+       "      <td>2862.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[nodegree]</th>\n",
+       "      <td>0.593</td>\n",
+       "      <td>0.291</td>\n",
+       "      <td>0.072</td>\n",
+       "      <td>1.150</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3230.0</td>\n",
+       "      <td>3414.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>1199.389</td>\n",
+       "      <td>444.830</td>\n",
+       "      <td>393.085</td>\n",
+       "      <td>2065.335</td>\n",
+       "      <td>8.521</td>\n",
+       "      <td>6.064</td>\n",
+       "      <td>2729.0</td>\n",
+       "      <td>3030.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1047.659</td>\n",
-       "      <td>335.777</td>\n",
-       "      <td>391.341</td>\n",
-       "      <td>1651.536</td>\n",
-       "      <td>6.156</td>\n",
-       "      <td>4.353</td>\n",
-       "      <td>2985.0</td>\n",
-       "      <td>2999.0</td>\n",
+       "      <td>1013.153</td>\n",
+       "      <td>334.229</td>\n",
+       "      <td>402.321</td>\n",
+       "      <td>1644.151</td>\n",
+       "      <td>6.148</td>\n",
+       "      <td>4.364</td>\n",
+       "      <td>2957.0</td>\n",
+       "      <td>3059.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>40.726</td>\n",
-       "      <td>11.788</td>\n",
-       "      <td>18.818</td>\n",
-       "      <td>62.851</td>\n",
-       "      <td>0.216</td>\n",
-       "      <td>0.153</td>\n",
-       "      <td>2996.0</td>\n",
-       "      <td>2626.0</td>\n",
+       "      <td>33.338</td>\n",
+       "      <td>12.152</td>\n",
+       "      <td>10.834</td>\n",
+       "      <td>55.961</td>\n",
+       "      <td>0.196</td>\n",
+       "      <td>0.139</td>\n",
+       "      <td>3830.0</td>\n",
+       "      <td>3044.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>391.866</td>\n",
-       "      <td>30.432</td>\n",
-       "      <td>335.873</td>\n",
-       "      <td>449.219</td>\n",
-       "      <td>0.598</td>\n",
-       "      <td>0.425</td>\n",
-       "      <td>2589.0</td>\n",
-       "      <td>2699.0</td>\n",
+       "      <td>321.572</td>\n",
+       "      <td>39.263</td>\n",
+       "      <td>245.848</td>\n",
+       "      <td>393.190</td>\n",
+       "      <td>0.781</td>\n",
+       "      <td>0.552</td>\n",
+       "      <td>2524.0</td>\n",
+       "      <td>2941.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>1898.338</td>\n",
-       "      <td>414.456</td>\n",
-       "      <td>1104.615</td>\n",
-       "      <td>2642.526</td>\n",
-       "      <td>6.980</td>\n",
-       "      <td>4.992</td>\n",
-       "      <td>3525.0</td>\n",
-       "      <td>3133.0</td>\n",
+       "      <td>1787.349</td>\n",
+       "      <td>417.578</td>\n",
+       "      <td>1013.706</td>\n",
+       "      <td>2574.959</td>\n",
+       "      <td>7.000</td>\n",
+       "      <td>4.950</td>\n",
+       "      <td>3569.0</td>\n",
+       "      <td>3013.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1387.565</td>\n",
-       "      <td>327.260</td>\n",
-       "      <td>805.609</td>\n",
-       "      <td>2027.095</td>\n",
-       "      <td>6.101</td>\n",
-       "      <td>4.337</td>\n",
-       "      <td>2870.0</td>\n",
-       "      <td>3163.0</td>\n",
+       "      <td>1327.948</td>\n",
+       "      <td>323.823</td>\n",
+       "      <td>702.170</td>\n",
+       "      <td>1918.482</td>\n",
+       "      <td>5.975</td>\n",
+       "      <td>4.225</td>\n",
+       "      <td>2934.0</td>\n",
+       "      <td>2602.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2121.551</td>\n",
-       "      <td>280.729</td>\n",
-       "      <td>1610.405</td>\n",
-       "      <td>2665.160</td>\n",
-       "      <td>4.083</td>\n",
-       "      <td>2.904</td>\n",
-       "      <td>4738.0</td>\n",
-       "      <td>2882.0</td>\n",
+       "      <td>2111.169</td>\n",
+       "      <td>285.307</td>\n",
+       "      <td>1593.636</td>\n",
+       "      <td>2646.140</td>\n",
+       "      <td>4.125</td>\n",
+       "      <td>2.936</td>\n",
+       "      <td>4771.0</td>\n",
+       "      <td>3192.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-651.456</td>\n",
-       "      <td>238.687</td>\n",
-       "      <td>-1093.571</td>\n",
-       "      <td>-190.758</td>\n",
-       "      <td>3.659</td>\n",
-       "      <td>2.614</td>\n",
-       "      <td>4258.0</td>\n",
-       "      <td>3304.0</td>\n",
+       "      <td>-972.194</td>\n",
+       "      <td>260.948</td>\n",
+       "      <td>-1479.864</td>\n",
+       "      <td>-485.091</td>\n",
+       "      <td>4.493</td>\n",
+       "      <td>3.177</td>\n",
+       "      <td>3365.0</td>\n",
+       "      <td>3218.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.010</td>\n",
-       "      <td>1.013</td>\n",
-       "      <td>-1.862</td>\n",
-       "      <td>1.913</td>\n",
-       "      <td>0.013</td>\n",
+       "      <td>-0.020</td>\n",
+       "      <td>1.001</td>\n",
+       "      <td>-2.000</td>\n",
+       "      <td>1.698</td>\n",
+       "      <td>0.014</td>\n",
        "      <td>0.017</td>\n",
-       "      <td>5914.0</td>\n",
-       "      <td>3225.0</td>\n",
+       "      <td>4943.0</td>\n",
+       "      <td>2847.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.021</td>\n",
-       "      <td>1.003</td>\n",
-       "      <td>-1.813</td>\n",
-       "      <td>1.892</td>\n",
+       "      <td>0.023</td>\n",
+       "      <td>0.987</td>\n",
+       "      <td>-1.782</td>\n",
+       "      <td>1.878</td>\n",
        "      <td>0.012</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>6544.0</td>\n",
-       "      <td>3084.0</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>6715.0</td>\n",
+       "      <td>2958.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[2]</th>\n",
-       "      <td>0.012</td>\n",
-       "      <td>1.002</td>\n",
-       "      <td>-1.857</td>\n",
-       "      <td>1.878</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>6876.0</td>\n",
-       "      <td>3090.0</td>\n",
+       "      <td>-0.020</td>\n",
+       "      <td>1.038</td>\n",
+       "      <td>-2.053</td>\n",
+       "      <td>1.814</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>5725.0</td>\n",
+       "      <td>2989.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[3]</th>\n",
-       "      <td>-0.006</td>\n",
-       "      <td>0.980</td>\n",
-       "      <td>-1.827</td>\n",
-       "      <td>1.802</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>6134.0</td>\n",
-       "      <td>3445.0</td>\n",
+       "      <td>-0.019</td>\n",
+       "      <td>1.010</td>\n",
+       "      <td>-1.956</td>\n",
+       "      <td>1.745</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>6658.0</td>\n",
+       "      <td>2979.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[4]</th>\n",
-       "      <td>0.007</td>\n",
-       "      <td>0.982</td>\n",
-       "      <td>-1.950</td>\n",
-       "      <td>1.722</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>5761.0</td>\n",
-       "      <td>3106.0</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>1.022</td>\n",
+       "      <td>-1.870</td>\n",
+       "      <td>1.930</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>5660.0</td>\n",
+       "      <td>3206.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[5]</th>\n",
-       "      <td>0.011</td>\n",
-       "      <td>1.002</td>\n",
-       "      <td>-1.809</td>\n",
-       "      <td>1.854</td>\n",
+       "      <td>-0.008</td>\n",
+       "      <td>0.971</td>\n",
+       "      <td>-1.865</td>\n",
+       "      <td>1.826</td>\n",
        "      <td>0.012</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>7348.0</td>\n",
-       "      <td>2651.0</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>6364.0</td>\n",
+       "      <td>3134.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[6]</th>\n",
-       "      <td>0.020</td>\n",
-       "      <td>0.967</td>\n",
-       "      <td>-1.676</td>\n",
-       "      <td>2.011</td>\n",
-       "      <td>0.012</td>\n",
+       "      <td>0.021</td>\n",
+       "      <td>1.004</td>\n",
+       "      <td>-1.775</td>\n",
+       "      <td>2.015</td>\n",
+       "      <td>0.013</td>\n",
        "      <td>0.017</td>\n",
-       "      <td>6955.0</td>\n",
-       "      <td>2958.0</td>\n",
+       "      <td>5917.0</td>\n",
+       "      <td>3029.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[7]</th>\n",
-       "      <td>-0.004</td>\n",
-       "      <td>0.993</td>\n",
-       "      <td>-1.958</td>\n",
-       "      <td>1.732</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>1.010</td>\n",
+       "      <td>-1.868</td>\n",
+       "      <td>1.948</td>\n",
        "      <td>0.012</td>\n",
        "      <td>0.017</td>\n",
-       "      <td>6359.0</td>\n",
-       "      <td>3131.0</td>\n",
+       "      <td>6954.0</td>\n",
+       "      <td>3034.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[8]</th>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.998</td>\n",
-       "      <td>-1.854</td>\n",
-       "      <td>1.806</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>5722.0</td>\n",
-       "      <td>2873.0</td>\n",
+       "      <td>-0.022</td>\n",
+       "      <td>1.005</td>\n",
+       "      <td>-1.857</td>\n",
+       "      <td>1.926</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>6690.0</td>\n",
+       "      <td>2990.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[9]</th>\n",
-       "      <td>-0.010</td>\n",
-       "      <td>0.988</td>\n",
-       "      <td>-1.836</td>\n",
-       "      <td>1.803</td>\n",
+       "      <td>-0.012</td>\n",
+       "      <td>0.994</td>\n",
+       "      <td>-1.907</td>\n",
+       "      <td>1.795</td>\n",
        "      <td>0.012</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>6470.0</td>\n",
-       "      <td>3076.0</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>6351.0</td>\n",
+       "      <td>2881.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[10]</th>\n",
-       "      <td>0.003</td>\n",
-       "      <td>1.019</td>\n",
-       "      <td>-1.948</td>\n",
-       "      <td>1.801</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>6408.0</td>\n",
-       "      <td>3136.0</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>1.022</td>\n",
+       "      <td>-1.909</td>\n",
+       "      <td>1.867</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.019</td>\n",
+       "      <td>5417.0</td>\n",
+       "      <td>2703.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[11]</th>\n",
-       "      <td>0.002</td>\n",
-       "      <td>1.030</td>\n",
-       "      <td>-1.908</td>\n",
-       "      <td>1.908</td>\n",
+       "      <td>-0.005</td>\n",
+       "      <td>1.011</td>\n",
+       "      <td>-1.916</td>\n",
+       "      <td>1.793</td>\n",
        "      <td>0.013</td>\n",
        "      <td>0.017</td>\n",
-       "      <td>6741.0</td>\n",
-       "      <td>2593.0</td>\n",
+       "      <td>6116.0</td>\n",
+       "      <td>2989.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[12]</th>\n",
-       "      <td>-0.018</td>\n",
-       "      <td>0.998</td>\n",
-       "      <td>-1.921</td>\n",
-       "      <td>1.784</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>1.009</td>\n",
+       "      <td>-1.897</td>\n",
+       "      <td>1.890</td>\n",
        "      <td>0.013</td>\n",
        "      <td>0.019</td>\n",
-       "      <td>6165.0</td>\n",
-       "      <td>2720.0</td>\n",
+       "      <td>5771.0</td>\n",
+       "      <td>2895.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[13]</th>\n",
-       "      <td>-0.015</td>\n",
-       "      <td>0.988</td>\n",
-       "      <td>-1.802</td>\n",
-       "      <td>1.976</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.975</td>\n",
+       "      <td>-1.711</td>\n",
+       "      <td>1.898</td>\n",
        "      <td>0.013</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>5923.0</td>\n",
-       "      <td>2679.0</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>5663.0</td>\n",
+       "      <td>3137.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3775,65 +4316,84 @@
        "</div>"
       ],
       "text/plain": [
-       "                     mean       sd    hdi_3%   hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[treat]     1047.659  335.777   391.341  1651.536      6.156    4.353   \n",
-       "beta_[age]         40.726   11.788    18.818    62.851      0.216    0.153   \n",
-       "beta_[educ]       391.866   30.432   335.873   449.219      0.598    0.425   \n",
-       "beta_[hispan]    1898.338  414.456  1104.615  2642.526      6.980    4.992   \n",
-       "beta_[white]     1387.565  327.260   805.609  2027.095      6.101    4.337   \n",
-       "beta_[married]   2121.551  280.729  1610.405  2665.160      4.083    2.904   \n",
-       "beta_[nodegree]  -651.456  238.687 -1093.571  -190.758      3.659    2.614   \n",
-       "beta_ps[0]         -0.010    1.013    -1.862     1.913      0.013    0.017   \n",
-       "beta_ps[1]          0.021    1.003    -1.813     1.892      0.012    0.017   \n",
-       "beta_ps[2]          0.012    1.002    -1.857     1.878      0.012    0.016   \n",
-       "beta_ps[3]         -0.006    0.980    -1.827     1.802      0.013    0.015   \n",
-       "beta_ps[4]          0.007    0.982    -1.950     1.722      0.013    0.016   \n",
-       "beta_ps[5]          0.011    1.002    -1.809     1.854      0.012    0.018   \n",
-       "beta_ps[6]          0.020    0.967    -1.676     2.011      0.012    0.017   \n",
-       "beta_ps[7]         -0.004    0.993    -1.958     1.732      0.012    0.017   \n",
-       "beta_ps[8]          0.002    0.998    -1.854     1.806      0.013    0.018   \n",
-       "beta_ps[9]         -0.010    0.988    -1.836     1.803      0.012    0.015   \n",
-       "beta_ps[10]         0.003    1.019    -1.948     1.801      0.013    0.017   \n",
-       "beta_ps[11]         0.002    1.030    -1.908     1.908      0.013    0.017   \n",
-       "beta_ps[12]        -0.018    0.998    -1.921     1.784      0.013    0.019   \n",
-       "beta_ps[13]        -0.015    0.988    -1.802     1.976      0.013    0.018   \n",
-       "\n",
-       "                 ess_bulk  ess_tail  r_hat  \n",
-       "beta_[treat]       2985.0    2999.0    1.0  \n",
-       "beta_[age]         2996.0    2626.0    1.0  \n",
-       "beta_[educ]        2589.0    2699.0    1.0  \n",
-       "beta_[hispan]      3525.0    3133.0    1.0  \n",
-       "beta_[white]       2870.0    3163.0    1.0  \n",
-       "beta_[married]     4738.0    2882.0    1.0  \n",
-       "beta_[nodegree]    4258.0    3304.0    1.0  \n",
-       "beta_ps[0]         5914.0    3225.0    1.0  \n",
-       "beta_ps[1]         6544.0    3084.0    1.0  \n",
-       "beta_ps[2]         6876.0    3090.0    1.0  \n",
-       "beta_ps[3]         6134.0    3445.0    1.0  \n",
-       "beta_ps[4]         5761.0    3106.0    1.0  \n",
-       "beta_ps[5]         7348.0    2651.0    1.0  \n",
-       "beta_ps[6]         6955.0    2958.0    1.0  \n",
-       "beta_ps[7]         6359.0    3131.0    1.0  \n",
-       "beta_ps[8]         5722.0    2873.0    1.0  \n",
-       "beta_ps[9]         6470.0    3076.0    1.0  \n",
-       "beta_ps[10]        6408.0    3136.0    1.0  \n",
-       "beta_ps[11]        6741.0    2593.0    1.0  \n",
-       "beta_ps[12]        6165.0    2720.0    1.0  \n",
-       "beta_ps[13]        5923.0    2679.0    1.0  "
+       "                         mean       sd    hdi_3%   hdi_97%  mcse_mean  \\\n",
+       "alpha_trt              -0.790    0.715    -2.141     0.504      0.015   \n",
+       "beta_trt_[age]          0.005    0.013    -0.019     0.029      0.000   \n",
+       "beta_trt_[educ]         0.106    0.052     0.005     0.198      0.001   \n",
+       "beta_trt_[hispan]      -2.224    0.359    -2.903    -1.567      0.005   \n",
+       "beta_trt_[white]       -3.180    0.285    -3.695    -2.625      0.004   \n",
+       "beta_trt_[married]     -0.927    0.266    -1.433    -0.449      0.004   \n",
+       "beta_trt_[nodegree]     0.593    0.291     0.072     1.150      0.005   \n",
+       "alpha_outcome        1199.389  444.830   393.085  2065.335      8.521   \n",
+       "beta_[treat]         1013.153  334.229   402.321  1644.151      6.148   \n",
+       "beta_[age]             33.338   12.152    10.834    55.961      0.196   \n",
+       "beta_[educ]           321.572   39.263   245.848   393.190      0.781   \n",
+       "beta_[hispan]        1787.349  417.578  1013.706  2574.959      7.000   \n",
+       "beta_[white]         1327.948  323.823   702.170  1918.482      5.975   \n",
+       "beta_[married]       2111.169  285.307  1593.636  2646.140      4.125   \n",
+       "beta_[nodegree]      -972.194  260.948 -1479.864  -485.091      4.493   \n",
+       "beta_ps[0]             -0.020    1.001    -2.000     1.698      0.014   \n",
+       "beta_ps[1]              0.023    0.987    -1.782     1.878      0.012   \n",
+       "beta_ps[2]             -0.020    1.038    -2.053     1.814      0.014   \n",
+       "beta_ps[3]             -0.019    1.010    -1.956     1.745      0.012   \n",
+       "beta_ps[4]              0.012    1.022    -1.870     1.930      0.014   \n",
+       "beta_ps[5]             -0.008    0.971    -1.865     1.826      0.012   \n",
+       "beta_ps[6]              0.021    1.004    -1.775     2.015      0.013   \n",
+       "beta_ps[7]              0.008    1.010    -1.868     1.948      0.012   \n",
+       "beta_ps[8]             -0.022    1.005    -1.857     1.926      0.012   \n",
+       "beta_ps[9]             -0.012    0.994    -1.907     1.795      0.012   \n",
+       "beta_ps[10]             0.008    1.022    -1.909     1.867      0.014   \n",
+       "beta_ps[11]            -0.005    1.011    -1.916     1.793      0.013   \n",
+       "beta_ps[12]             0.000    1.009    -1.897     1.890      0.013   \n",
+       "beta_ps[13]             0.001    0.975    -1.711     1.898      0.013   \n",
+       "\n",
+       "                     mcse_sd  ess_bulk  ess_tail  r_hat  \n",
+       "alpha_trt              0.011    2236.0    2896.0    1.0  \n",
+       "beta_trt_[age]         0.000    4471.0    2740.0    1.0  \n",
+       "beta_trt_[educ]        0.001    2601.0    3087.0    1.0  \n",
+       "beta_trt_[hispan]      0.004    4920.0    2923.0    1.0  \n",
+       "beta_trt_[white]       0.003    6046.0    3012.0    1.0  \n",
+       "beta_trt_[married]     0.003    5344.0    2862.0    1.0  \n",
+       "beta_trt_[nodegree]    0.004    3230.0    3414.0    1.0  \n",
+       "alpha_outcome          6.064    2729.0    3030.0    1.0  \n",
+       "beta_[treat]           4.364    2957.0    3059.0    1.0  \n",
+       "beta_[age]             0.139    3830.0    3044.0    1.0  \n",
+       "beta_[educ]            0.552    2524.0    2941.0    1.0  \n",
+       "beta_[hispan]          4.950    3569.0    3013.0    1.0  \n",
+       "beta_[white]           4.225    2934.0    2602.0    1.0  \n",
+       "beta_[married]         2.936    4771.0    3192.0    1.0  \n",
+       "beta_[nodegree]        3.177    3365.0    3218.0    1.0  \n",
+       "beta_ps[0]             0.017    4943.0    2847.0    1.0  \n",
+       "beta_ps[1]             0.016    6715.0    2958.0    1.0  \n",
+       "beta_ps[2]             0.017    5725.0    2989.0    1.0  \n",
+       "beta_ps[3]             0.017    6658.0    2979.0    1.0  \n",
+       "beta_ps[4]             0.017    5660.0    3206.0    1.0  \n",
+       "beta_ps[5]             0.016    6364.0    3134.0    1.0  \n",
+       "beta_ps[6]             0.017    5917.0    3029.0    1.0  \n",
+       "beta_ps[7]             0.017    6954.0    3034.0    1.0  \n",
+       "beta_ps[8]             0.017    6690.0    2990.0    1.0  \n",
+       "beta_ps[9]             0.017    6351.0    2881.0    1.0  \n",
+       "beta_ps[10]            0.019    5417.0    2703.0    1.0  \n",
+       "beta_ps[11]            0.017    6116.0    2989.0    1.0  \n",
+       "beta_ps[12]            0.019    5771.0    2895.0    1.0  \n",
+       "beta_ps[13]            0.017    5663.0    3137.0    1.0  "
       ]
      },
-     "execution_count": 253,
+     "execution_count": 95,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "az.summary(idata_lalonde, var_names=[\"beta_\", \"beta_ps\"])"
+    "az.summary(\n",
+    "    idata_lalonde,\n",
+    "    var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"],\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 254,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [
     {
@@ -3846,7 +4406,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9deddaa726e94798adb66acc409c9b74",
+       "model_id": "3a3574a2e4e14eba8d5be1cade886382",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3877,7 +4437,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "af540d2735134f3db527108e43ebc0b3",
+       "model_id": "c8f2362e245349f2bca9dfe0edba721c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3926,7 +4486,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 255,
+   "execution_count": 97,
    "metadata": {},
    "outputs": [
     {
@@ -4303,14 +4863,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(1049.17877379)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6e17823a-95c7-4153-9de6-7164140ffd01' class='xr-array-in' type='checkbox' checked><label for='section-6e17823a-95c7-4153-9de6-7164140ffd01' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.049e+03</span></div><div class='xr-array-data'><pre>array(1049.17877379)</pre></div></div></li><li class='xr-section-item'><input id='section-3257fe8b-8da5-484a-b59d-0888d63a289e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3257fe8b-8da5-484a-b59d-0888d63a289e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d9248f35-c7b9-4547-b81d-8d4ecc1e3cf8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d9248f35-c7b9-4547-b81d-8d4ecc1e3cf8' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3351c215-58b8-43ae-b987-3ba5a9451021' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3351c215-58b8-43ae-b987-3ba5a9451021' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(1013.95471061)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5f86018a-35ab-4001-b595-db5dab5cd923' class='xr-array-in' type='checkbox' checked><label for='section-5f86018a-35ab-4001-b595-db5dab5cd923' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.014e+03</span></div><div class='xr-array-data'><pre>array(1013.95471061)</pre></div></div></li><li class='xr-section-item'><input id='section-d402faf3-f3d0-4f13-8660-0ed6ec93b1a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d402faf3-f3d0-4f13-8660-0ed6ec93b1a3' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e38b17a6-3f11-48a9-bff9-9acb5e2ac06b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e38b17a6-3f11-48a9-bff9-9acb5e2ac06b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-646dc435-35ea-4ffd-84e5-c91c09467c2d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-646dc435-35ea-4ffd-84e5-c91c09467c2d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(1049.17877379)"
+       "array(1013.95471061)"
       ]
      },
-     "execution_count": 255,
+     "execution_count": 97,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4324,7 +4884,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 256,
+   "execution_count": 98,
    "metadata": {},
    "outputs": [
     {
@@ -4345,7 +4905,7 @@
        "  <th>Date:</th>             <td>Tue, 08 Jul 2025</td> <th>  Prob (F-statistic):</th> <td>1.59e-07</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Time:</th>                 <td>12:37:31</td>     <th>  Log-Likelihood:    </th> <td> -6324.3</td> \n",
+       "  <th>Time:</th>                 <td>18:47:40</td>     <th>  Log-Likelihood:    </th> <td> -6324.3</td> \n",
        "</tr>\n",
        "<tr>\n",
        "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.266e+04</td>\n",
@@ -4412,7 +4972,7 @@
        "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.060   \\\\\n",
        "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     6.594   \\\\\n",
        "\\textbf{Date:}             & Tue, 08 Jul 2025 & \\textbf{  Prob (F-statistic):} &  1.59e-07   \\\\\n",
-       "\\textbf{Time:}             &     12:37:31     & \\textbf{  Log-Likelihood:    } &   -6324.3   \\\\\n",
+       "\\textbf{Time:}             &     18:47:40     & \\textbf{  Log-Likelihood:    } &   -6324.3   \\\\\n",
        "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.266e+04   \\\\\n",
        "\\textbf{Df Residuals:}     &         606      & \\textbf{  BIC:               } & 1.270e+04   \\\\\n",
        "\\textbf{Df Model:}         &           7      & \\textbf{                     } &             \\\\\n",
@@ -4454,7 +5014,7 @@
        "Model:                            OLS   Adj. R-squared:                  0.060\n",
        "Method:                 Least Squares   F-statistic:                     6.594\n",
        "Date:                Tue, 08 Jul 2025   Prob (F-statistic):           1.59e-07\n",
-       "Time:                        12:37:31   Log-Likelihood:                -6324.3\n",
+       "Time:                        18:47:40   Log-Likelihood:                -6324.3\n",
        "No. Observations:                 614   AIC:                         1.266e+04\n",
        "Df Residuals:                     606   BIC:                         1.270e+04\n",
        "Df Model:                           7                                         \n",
@@ -4482,7 +5042,7 @@
        "\"\"\""
       ]
      },
-     "execution_count": 256,
+     "execution_count": 98,
      "metadata": {},
      "output_type": "execute_result"
     }

From acd81127c4cca20fa2979e8252046367900007d0 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Tue, 8 Jul 2025 22:09:22 +0100
Subject: [PATCH 06/31] tidying

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 3154 +++++++++----------
 1 file changed, 1477 insertions(+), 1677 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 82170cfc..12c46a51 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 190,
    "metadata": {},
    "outputs": [
     {
@@ -50,38 +50,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>-0.153198</td>\n",
-       "      <td>0.052058</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3.342783</td>\n",
+       "      <td>0.192527</td>\n",
+       "      <td>1.839369</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8.484918</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1.054261</td>\n",
-       "      <td>0.888169</td>\n",
+       "      <td>-0.362518</td>\n",
+       "      <td>1.137514</td>\n",
        "      <td>1</td>\n",
-       "      <td>6.318285</td>\n",
+       "      <td>6.664834</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0.936572</td>\n",
-       "      <td>0.562454</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5.627594</td>\n",
+       "      <td>1.454742</td>\n",
+       "      <td>1.639615</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10.032736</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2.600557</td>\n",
-       "      <td>1.343742</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9.788608</td>\n",
+       "      <td>-0.353850</td>\n",
+       "      <td>0.437835</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5.337335</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>3.043268</td>\n",
-       "      <td>3.014895</td>\n",
-       "      <td>1</td>\n",
-       "      <td>12.692891</td>\n",
+       "      <td>-2.697615</td>\n",
+       "      <td>-0.194152</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.372344</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -89,14 +89,14 @@
       ],
       "text/plain": [
        "         x1        x2  trt    outcome\n",
-       "0 -0.153198  0.052058    0   3.342783\n",
-       "1  1.054261  0.888169    1   6.318285\n",
-       "2  0.936572  0.562454    0   5.627594\n",
-       "3  2.600557  1.343742    1   9.788608\n",
-       "4  3.043268  3.014895    1  12.692891"
+       "0  0.192527  1.839369    1   8.484918\n",
+       "1 -0.362518  1.137514    1   6.664834\n",
+       "2  1.454742  1.639615    1  10.032736\n",
+       "3 -0.353850  0.437835    0   5.337335\n",
+       "4 -2.697615 -0.194152    0  -0.372344"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 190,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -131,7 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -151,10 +151,10 @@
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+       "<svg width=\"980pt\" height=\"596pt\"\n",
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@@ -162,13 +162,13 @@
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        "<title>cluster1000 x 3</title>\n",
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        "<title>clusterbetas_trt (2)</title>\n",
@@ -177,13 +177,13 @@
        "</g>\n",
        "<g id=\"clust5\" class=\"cluster\">\n",
        "<title>clusterbetas (3)</title>\n",
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-       "<text text-anchor=\"middle\" x=\"511.38\" y=\"-237.93\" font-family=\"Times,serif\" font-size=\"14.00\">betas (3)</text>\n",
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+       "<text text-anchor=\"middle\" x=\"556.38\" y=\"-237.93\" font-family=\"Times,serif\" font-size=\"14.00\">betas (3)</text>\n",
        "</g>\n",
        "<g id=\"clust6\" class=\"cluster\">\n",
-       "<title>cluster14</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M234,-340.63C234,-340.63 308,-340.63 308,-340.63 314,-340.63 320,-346.63 320,-352.63 320,-352.63 320,-450.45 320,-450.45 320,-456.45 314,-462.45 308,-462.45 308,-462.45 234,-462.45 234,-462.45 228,-462.45 222,-456.45 222,-450.45 222,-450.45 222,-352.63 222,-352.63 222,-346.63 228,-340.63 234,-340.63\"/>\n",
-       "<text text-anchor=\"middle\" x=\"305.25\" y=\"-347.83\" font-family=\"Times,serif\" font-size=\"14.00\">14</text>\n",
+       "<title>cluster34</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M234,-340.63C234,-340.63 362,-340.63 362,-340.63 368,-340.63 374,-346.63 374,-352.63 374,-352.63 374,-450.45 374,-450.45 374,-456.45 368,-462.45 362,-462.45 362,-462.45 234,-462.45 234,-462.45 228,-462.45 222,-456.45 222,-450.45 222,-450.45 222,-352.63 222,-352.63 222,-346.63 228,-340.63 234,-340.63\"/>\n",
+       "<text text-anchor=\"middle\" x=\"359.25\" y=\"-347.83\" font-family=\"Times,serif\" font-size=\"14.00\">34</text>\n",
        "</g>\n",
        "<!-- X -->\n",
        "<g id=\"node1\" class=\"node\">\n",
@@ -196,114 +196,114 @@
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        "<title>p</title>\n",
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-       "<text text-anchor=\"middle\" x=\"156\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
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+       "<text text-anchor=\"middle\" x=\"201\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"201\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
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        "<!-- X&#45;&gt;p -->\n",
        "<g id=\"edge5\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M54.17,-384.66C60.78,-370.37 70.2,-353.38 82,-340.63 87.77,-334.41 94.52,-328.64 101.55,-323.42\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"103.13,-326.59 109.32,-317.99 99.12,-320.85 103.13,-326.59\"/>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"145.54,-310.04 153.99,-303.65 143.4,-303.37 145.54,-310.04\"/>\n",
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        "<!-- X_outcome -->\n",
        "<g id=\"node2\" class=\"node\">\n",
        "<title>X_outcome</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M408.88,-320.73C408.88,-320.73 353.12,-320.73 353.12,-320.73 347.12,-320.73 341.12,-314.73 341.12,-308.73 341.12,-308.73 341.12,-275.23 341.12,-275.23 341.12,-269.23 347.12,-263.23 353.12,-263.23 353.12,-263.23 408.88,-263.23 408.88,-263.23 414.88,-263.23 420.88,-269.23 420.88,-275.23 420.88,-275.23 420.88,-308.73 420.88,-308.73 420.88,-314.73 414.88,-320.73 408.88,-320.73\"/>\n",
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-       "<text text-anchor=\"middle\" x=\"381\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
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-       "<text text-anchor=\"middle\" x=\"276\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"276\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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        "<!-- X_outcome&#45;&gt;like -->\n",
        "<g id=\"edge12\" class=\"edge\">\n",
        "<title>X_outcome&#45;&gt;like</title>\n",
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        "<title>Y</title>\n",
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-       "<text text-anchor=\"middle\" x=\"276\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
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        "<title>t_pred</title>\n",
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-       "<text text-anchor=\"middle\" x=\"158\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
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        "<!-- T -->\n",
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        "<title>T</title>\n",
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+       "<text text-anchor=\"middle\" x=\"203\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- t_pred&#45;&gt;T -->\n",
        "<g id=\"edge1\" class=\"edge\">\n",
        "<title>t_pred&#45;&gt;T</title>\n",
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        "<!-- like&#45;&gt;Y -->\n",
        "<g id=\"edge2\" class=\"edge\">\n",
        "<title>like&#45;&gt;Y</title>\n",
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        "<!-- spline_features -->\n",
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        "<title>spline_features&#45;&gt;like</title>\n",
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        "<title>p&#45;&gt;t_pred</title>\n",
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        "<title>p&#45;&gt;like</title>\n",
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        "<title>beta_trt_&#45;&gt;p</title>\n",
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        "<!-- beta_&#45;&gt;like -->\n",
        "<g id=\"edge14\" class=\"edge\">\n",
        "<title>beta_&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M468.5,-262.95C458.68,-251.68 446.29,-239.34 433,-230.73 400.59,-209.71 359.2,-195.62 327.05,-186.96\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"328.12,-183.62 317.56,-184.5 326.36,-190.4 328.12,-183.62\"/>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"373.12,-183.62 362.56,-184.5 371.36,-190.4 373.12,-183.62\"/>\n",
        "</g>\n",
        "<!-- beta_std -->\n",
        "<g id=\"node12\" class=\"node\">\n",
        "<title>beta_std</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"490\" cy=\"-413.79\" rx=\"43.13\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"490\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_std</text>\n",
-       "<text text-anchor=\"middle\" x=\"490\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"490\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"535\" cy=\"-413.79\" rx=\"43.13\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"535\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_std</text>\n",
+       "<text text-anchor=\"middle\" x=\"535\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"535\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- beta_std&#45;&gt;beta_ -->\n",
        "<g id=\"edge4\" class=\"edge\">\n",
        "<title>beta_std&#45;&gt;beta_</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M490,-372.9C490,-359.87 490,-345.41 490,-332.41\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"493.5,-332.48 490,-322.48 486.5,-332.48 493.5,-332.48\"/>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"538.5,-332.48 535,-322.48 531.5,-332.48 538.5,-332.48\"/>\n",
        "</g>\n",
-       "<!-- beta_ps -->\n",
+       "<!-- beta_ps_spline -->\n",
        "<g id=\"node13\" class=\"node\">\n",
-       "<title>beta_ps</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"271\" cy=\"-413.79\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"271\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
-       "<text text-anchor=\"middle\" x=\"271\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"271\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<title>beta_ps_spline</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"298\" cy=\"-413.79\" rx=\"68.06\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"298\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps_spline</text>\n",
+       "<text text-anchor=\"middle\" x=\"298\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"298\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
-       "<!-- beta_ps&#45;&gt;spline_features -->\n",
+       "<!-- beta_ps_spline&#45;&gt;spline_features -->\n",
        "<g id=\"edge9\" class=\"edge\">\n",
-       "<title>beta_ps&#45;&gt;spline_features</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M270,-372.9C269.67,-359.87 269.31,-345.41 268.99,-332.41\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"272.49,-332.39 268.74,-322.48 265.49,-332.57 272.49,-332.39\"/>\n",
+       "<title>beta_ps_spline&#45;&gt;spline_features</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M302.99,-372.9C304.64,-359.73 306.47,-345.11 308.11,-332.02\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"311.54,-332.83 309.31,-322.47 304.59,-331.96 311.54,-332.83\"/>\n",
        "</g>\n",
        "<!-- sigma -->\n",
        "<g id=\"node14\" class=\"node\">\n",
        "<title>sigma</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"611\" cy=\"-291.98\" rx=\"57.45\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"611\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
-       "<text text-anchor=\"middle\" x=\"611\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"611\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Exponential</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"814\" cy=\"-291.98\" rx=\"57.98\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"814\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text text-anchor=\"middle\" x=\"814\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"814\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n",
        "</g>\n",
        "<!-- sigma&#45;&gt;like -->\n",
        "<g id=\"edge10\" class=\"edge\">\n",
        "<title>sigma&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M581.53,-256.74C571.49,-246.99 559.6,-237.25 547,-230.73 477,-194.48 385.32,-182.07 328.56,-177.84\"/>\n",
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        "</g>\n",
-       "<!-- alpha_outcome -->\n",
+       "<!-- beta_ps -->\n",
        "<g id=\"node15\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"931\" cy=\"-291.98\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"931\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text text-anchor=\"middle\" x=\"931\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"931\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_ps&#45;&gt;like -->\n",
+       "<g id=\"edge15\" class=\"edge\">\n",
+       "<title>beta_ps&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M910.08,-256.64C902.23,-246.64 892.41,-236.78 881,-230.73 793.86,-184.46 495.61,-176.92 373.63,-175.8\"/>\n",
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+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node16\" class=\"node\">\n",
        "<title>alpha_outcome</title>\n",
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        "</g>\n",
        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge15\" class=\"edge\">\n",
+       "<g id=\"edge16\" class=\"edge\">\n",
        "<title>alpha_outcome&#45;&gt;like</title>\n",
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        "</g>\n",
        "<!-- alpha_trt -->\n",
-       "<g id=\"node16\" class=\"node\">\n",
+       "<g id=\"node17\" class=\"node\">\n",
        "<title>alpha_trt</title>\n",
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-       "<text text-anchor=\"middle\" x=\"375\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
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-       "<text text-anchor=\"middle\" x=\"375\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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+       "<text text-anchor=\"middle\" x=\"429\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
+       "<text text-anchor=\"middle\" x=\"429\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"429\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
        "<g id=\"edge7\" class=\"edge\">\n",
        "<title>alpha_trt&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M357.82,-376.1C349.56,-362.62 338.3,-348.69 324,-340.63 301.87,-328.18 233.84,-341.38 210,-332.63 205.88,-331.12 201.8,-329.19 197.84,-327.01\"/>\n",
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        "</g>\n",
        "</g>\n",
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x33c538df0>"
+       "<graphviz.graphs.Digraph at 0x3299f45e0>"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 191,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -475,7 +489,8 @@
     "                \"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\"\n",
     "            )\n",
     "\n",
-    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1, size=14)\n",
+    "        beta_ps_spline = pm.Normal(\"beta_ps_spline\", 0, 1, size=34)\n",
+    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1)\n",
     "\n",
     "        alpha_trt = pm.Normal(\n",
     "            \"alpha_trt\", priors[\"alpha_trt\"][0], priors[\"alpha_trt\"][1]\n",
@@ -487,28 +502,24 @@
     "\n",
     "        B = dmatrix(\n",
     "            \"bs(ps, knots=knots, degree=3, include_intercept=True) - 1\",\n",
-    "            {\"ps\": np.linspace(0, 1, X_trt.shape[0]), \"knots\": np.linspace(0, 1, 10)},\n",
+    "            {\"ps\": np.linspace(0, 1, X_trt.shape[0]), \"knots\": np.linspace(0, 1, 30)},\n",
     "        )\n",
     "        B_f = np.asarray(B, order=\"F\")\n",
     "        splines_summed = pm.Deterministic(\n",
-    "            \"spline_features\", pm.math.dot(B_f, beta_ps.T)\n",
+    "            \"spline_features\", pm.math.dot(B_f, beta_ps_spline.T)\n",
     "        )\n",
     "\n",
     "        alpha_outcome = pm.Normal(\n",
     "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
     "        )\n",
     "        mu_outcome = (\n",
-    "            alpha_outcome + pm.math.dot(X_data_outcome, beta) + p * splines_summed\n",
+    "            alpha_outcome\n",
+    "            + pm.math.dot(X_data_outcome, beta)\n",
+    "            + p * splines_summed\n",
+    "            + beta_ps * p\n",
     "        )\n",
-    "        sigma = pm.Exponential(\"sigma\", 1)\n",
+    "        sigma = pm.HalfNormal(\"sigma\", 1)\n",
     "\n",
-    "        # p_of_t = T_data.mean()\n",
-    "        # p_inv = pm.math.where(T_data == 1, p_of_t/p, (1- p_of_t)/(1 - p))\n",
-    "        # trted = pm.math.sum(p_inv[T_data == 1]*Y_data[T_data == 1])\n",
-    "        # ntrted = pm.math.sum(p_inv[T_data == 0]*Y_data[T_data == 0])\n",
-    "        # ate = pm.Deterministic('ate', (trted / Y_data[T_data == 1].shape[0]) - (ntrted / Y_data[T_data == 0].shape[0]))\n",
-    "\n",
-    "        # _ = pm.Deterministic(\"weighted_outcome\", p_inv * Y_data_)\n",
     "        _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
     "\n",
     "    return model\n",
@@ -521,20 +532,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 192,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [alpha_outcome, alpha_trt, beta_ps, beta_std, beta_trt_std, like, sigma, t_pred]\n"
+      "Sampling: [alpha_outcome, alpha_trt, beta_ps, beta_ps_spline, beta_std, beta_trt_std, like, sigma, t_pred]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "130ba1d74e4941319b55c02a86bd7c93",
+       "model_id": "42cc147071ab4eb29bf342bfea80e00f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -548,7 +559,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "26c68fcf7b6d4a9e82c70614f50a41b3",
+       "model_id": "de1052cd4c2240638a2a9fe91bcf3cfd",
        "version_major": 2,
        "version_minor": 0
       },
@@ -562,7 +573,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b94f4c30ef4c4aae94fa721fb892073c",
+       "model_id": "bd2822f760ab4cfbb840b482c1764bf5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -576,7 +587,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "667fb0da754843379ae268225b3065a3",
+       "model_id": "2f1dace4a604445f98a8c79a9e86934b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -596,7 +607,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 193,
    "metadata": {},
    "outputs": [
     {
@@ -634,254 +645,98 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.817</td>\n",
+       "      <td>-0.670</td>\n",
        "      <td>0.118</td>\n",
-       "      <td>-1.055</td>\n",
-       "      <td>-0.614</td>\n",
+       "      <td>-0.905</td>\n",
+       "      <td>-0.458</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>3232.0</td>\n",
-       "      <td>2938.0</td>\n",
+       "      <td>4153.0</td>\n",
+       "      <td>2832.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[x1]</th>\n",
-       "      <td>0.235</td>\n",
+       "      <td>0.431</td>\n",
        "      <td>0.078</td>\n",
-       "      <td>0.092</td>\n",
-       "      <td>0.381</td>\n",
+       "      <td>0.294</td>\n",
+       "      <td>0.589</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>3864.0</td>\n",
-       "      <td>2955.0</td>\n",
+       "      <td>5725.0</td>\n",
+       "      <td>3335.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[x2]</th>\n",
-       "      <td>1.357</td>\n",
-       "      <td>0.126</td>\n",
-       "      <td>1.115</td>\n",
-       "      <td>1.580</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>0.986</td>\n",
+       "      <td>0.120</td>\n",
+       "      <td>0.758</td>\n",
+       "      <td>1.206</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>2880.0</td>\n",
-       "      <td>2817.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3313.0</td>\n",
+       "      <td>2837.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4.028</td>\n",
-       "      <td>0.102</td>\n",
-       "      <td>3.833</td>\n",
-       "      <td>4.214</td>\n",
+       "      <td>3.706</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>3.373</td>\n",
+       "      <td>4.105</td>\n",
+       "      <td>0.005</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>1562.0</td>\n",
-       "      <td>2260.0</td>\n",
+       "      <td>1594.0</td>\n",
+       "      <td>2353.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.882</td>\n",
-       "      <td>0.076</td>\n",
-       "      <td>1.738</td>\n",
-       "      <td>2.026</td>\n",
+       "      <td>1.965</td>\n",
+       "      <td>0.079</td>\n",
+       "      <td>1.819</td>\n",
+       "      <td>2.113</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>4284.0</td>\n",
-       "      <td>2694.0</td>\n",
+       "      <td>6612.0</td>\n",
+       "      <td>3216.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.021</td>\n",
-       "      <td>0.032</td>\n",
-       "      <td>0.960</td>\n",
-       "      <td>1.082</td>\n",
+       "      <td>0.957</td>\n",
+       "      <td>0.049</td>\n",
+       "      <td>0.858</td>\n",
+       "      <td>1.045</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>3549.0</td>\n",
-       "      <td>2896.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2564.0</td>\n",
+       "      <td>2855.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x2]</th>\n",
-       "      <td>0.970</td>\n",
-       "      <td>0.070</td>\n",
-       "      <td>0.836</td>\n",
-       "      <td>1.096</td>\n",
+       "      <td>0.870</td>\n",
+       "      <td>0.093</td>\n",
+       "      <td>0.699</td>\n",
+       "      <td>1.053</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>1815.0</td>\n",
-       "      <td>2605.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.995</td>\n",
-       "      <td>-1.878</td>\n",
-       "      <td>1.857</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>5311.0</td>\n",
-       "      <td>2779.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>0.424</td>\n",
-       "      <td>0.450</td>\n",
-       "      <td>-0.403</td>\n",
-       "      <td>1.270</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2762.0</td>\n",
-       "      <td>3088.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[2]</th>\n",
-       "      <td>0.092</td>\n",
-       "      <td>0.480</td>\n",
-       "      <td>-0.766</td>\n",
-       "      <td>1.015</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>2775.0</td>\n",
-       "      <td>2921.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[3]</th>\n",
-       "      <td>-0.241</td>\n",
-       "      <td>0.467</td>\n",
-       "      <td>-1.114</td>\n",
-       "      <td>0.629</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>2560.0</td>\n",
-       "      <td>2826.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[4]</th>\n",
-       "      <td>0.150</td>\n",
-       "      <td>0.397</td>\n",
-       "      <td>-0.581</td>\n",
-       "      <td>0.908</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2281.0</td>\n",
-       "      <td>2753.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[5]</th>\n",
-       "      <td>0.051</td>\n",
-       "      <td>0.369</td>\n",
-       "      <td>-0.626</td>\n",
-       "      <td>0.758</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2075.0</td>\n",
-       "      <td>2950.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[6]</th>\n",
-       "      <td>0.290</td>\n",
-       "      <td>0.382</td>\n",
-       "      <td>-0.407</td>\n",
-       "      <td>1.013</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2320.0</td>\n",
-       "      <td>2525.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[7]</th>\n",
-       "      <td>-0.311</td>\n",
-       "      <td>0.387</td>\n",
-       "      <td>-1.010</td>\n",
-       "      <td>0.432</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2228.0</td>\n",
-       "      <td>2738.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[8]</th>\n",
-       "      <td>0.241</td>\n",
-       "      <td>0.379</td>\n",
-       "      <td>-0.469</td>\n",
-       "      <td>0.952</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2157.0</td>\n",
-       "      <td>2658.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[9]</th>\n",
-       "      <td>0.026</td>\n",
-       "      <td>0.389</td>\n",
-       "      <td>-0.779</td>\n",
-       "      <td>0.686</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2208.0</td>\n",
-       "      <td>2282.0</td>\n",
+       "      <td>2236.0</td>\n",
+       "      <td>2097.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[10]</th>\n",
-       "      <td>0.161</td>\n",
-       "      <td>0.446</td>\n",
-       "      <td>-0.709</td>\n",
-       "      <td>0.948</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>0.676</td>\n",
+       "      <td>0.505</td>\n",
+       "      <td>-0.273</td>\n",
+       "      <td>1.594</td>\n",
+       "      <td>0.012</td>\n",
        "      <td>0.009</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2641.0</td>\n",
-       "      <td>3106.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[11]</th>\n",
-       "      <td>-0.105</td>\n",
-       "      <td>0.492</td>\n",
-       "      <td>-1.002</td>\n",
-       "      <td>0.829</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>2503.0</td>\n",
-       "      <td>2893.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[12]</th>\n",
-       "      <td>-0.221</td>\n",
-       "      <td>0.458</td>\n",
-       "      <td>-1.090</td>\n",
-       "      <td>0.625</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2952.0</td>\n",
-       "      <td>3111.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[13]</th>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1.009</td>\n",
-       "      <td>-1.973</td>\n",
-       "      <td>1.816</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>5525.0</td>\n",
-       "      <td>2852.0</td>\n",
+       "      <td>1746.0</td>\n",
+       "      <td>2265.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -890,53 +745,27 @@
       ],
       "text/plain": [
        "                mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "alpha_trt     -0.817  0.118  -1.055   -0.614      0.002    0.001    3232.0   \n",
-       "beta_trt_[x1]  0.235  0.078   0.092    0.381      0.001    0.001    3864.0   \n",
-       "beta_trt_[x2]  1.357  0.126   1.115    1.580      0.002    0.002    2880.0   \n",
-       "alpha_outcome  4.028  0.102   3.833    4.214      0.003    0.002    1562.0   \n",
-       "beta_[trt]     1.882  0.076   1.738    2.026      0.001    0.001    4284.0   \n",
-       "beta_[x1]      1.021  0.032   0.960    1.082      0.001    0.000    3549.0   \n",
-       "beta_[x2]      0.970  0.070   0.836    1.096      0.002    0.001    1815.0   \n",
-       "beta_ps[0]     0.003  0.995  -1.878    1.857      0.014    0.017    5311.0   \n",
-       "beta_ps[1]     0.424  0.450  -0.403    1.270      0.009    0.006    2762.0   \n",
-       "beta_ps[2]     0.092  0.480  -0.766    1.015      0.009    0.007    2775.0   \n",
-       "beta_ps[3]    -0.241  0.467  -1.114    0.629      0.009    0.007    2560.0   \n",
-       "beta_ps[4]     0.150  0.397  -0.581    0.908      0.008    0.006    2281.0   \n",
-       "beta_ps[5]     0.051  0.369  -0.626    0.758      0.008    0.006    2075.0   \n",
-       "beta_ps[6]     0.290  0.382  -0.407    1.013      0.008    0.006    2320.0   \n",
-       "beta_ps[7]    -0.311  0.387  -1.010    0.432      0.008    0.006    2228.0   \n",
-       "beta_ps[8]     0.241  0.379  -0.469    0.952      0.008    0.006    2157.0   \n",
-       "beta_ps[9]     0.026  0.389  -0.779    0.686      0.008    0.006    2208.0   \n",
-       "beta_ps[10]    0.161  0.446  -0.709    0.948      0.009    0.006    2641.0   \n",
-       "beta_ps[11]   -0.105  0.492  -1.002    0.829      0.010    0.007    2503.0   \n",
-       "beta_ps[12]   -0.221  0.458  -1.090    0.625      0.008    0.006    2952.0   \n",
-       "beta_ps[13]    0.000  1.009  -1.973    1.816      0.014    0.018    5525.0   \n",
+       "alpha_trt     -0.670  0.118  -0.905   -0.458      0.002    0.001    4153.0   \n",
+       "beta_trt_[x1]  0.431  0.078   0.294    0.589      0.001    0.001    5725.0   \n",
+       "beta_trt_[x2]  0.986  0.120   0.758    1.206      0.002    0.001    3313.0   \n",
+       "alpha_outcome  3.706  0.193   3.373    4.105      0.005    0.003    1594.0   \n",
+       "beta_[trt]     1.965  0.079   1.819    2.113      0.001    0.001    6612.0   \n",
+       "beta_[x1]      0.957  0.049   0.858    1.045      0.001    0.001    2564.0   \n",
+       "beta_[x2]      0.870  0.093   0.699    1.053      0.002    0.001    2236.0   \n",
+       "beta_ps        0.676  0.505  -0.273    1.594      0.012    0.009    1746.0   \n",
        "\n",
        "               ess_tail  r_hat  \n",
-       "alpha_trt        2938.0    1.0  \n",
-       "beta_trt_[x1]    2955.0    1.0  \n",
-       "beta_trt_[x2]    2817.0    1.0  \n",
-       "alpha_outcome    2260.0    1.0  \n",
-       "beta_[trt]       2694.0    1.0  \n",
-       "beta_[x1]        2896.0    1.0  \n",
-       "beta_[x2]        2605.0    1.0  \n",
-       "beta_ps[0]       2779.0    1.0  \n",
-       "beta_ps[1]       3088.0    1.0  \n",
-       "beta_ps[2]       2921.0    1.0  \n",
-       "beta_ps[3]       2826.0    1.0  \n",
-       "beta_ps[4]       2753.0    1.0  \n",
-       "beta_ps[5]       2950.0    1.0  \n",
-       "beta_ps[6]       2525.0    1.0  \n",
-       "beta_ps[7]       2738.0    1.0  \n",
-       "beta_ps[8]       2658.0    1.0  \n",
-       "beta_ps[9]       2282.0    1.0  \n",
-       "beta_ps[10]      3106.0    1.0  \n",
-       "beta_ps[11]      2893.0    1.0  \n",
-       "beta_ps[12]      3111.0    1.0  \n",
-       "beta_ps[13]      2852.0    1.0  "
+       "alpha_trt        2832.0    1.0  \n",
+       "beta_trt_[x1]    3335.0    1.0  \n",
+       "beta_trt_[x2]    2837.0    1.0  \n",
+       "alpha_outcome    2353.0    1.0  \n",
+       "beta_[trt]       3216.0    1.0  \n",
+       "beta_[x1]        2855.0    1.0  \n",
+       "beta_[x2]        2097.0    1.0  \n",
+       "beta_ps          2265.0    1.0  "
       ]
      },
-     "execution_count": 44,
+     "execution_count": 193,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -949,7 +778,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 194,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -962,7 +791,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 195,
    "metadata": {},
    "outputs": [
     {
@@ -975,7 +804,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "df882e204ead4e5ea3c880c3427fc31d",
+       "model_id": "56eeb69cebd442c9bbe7d9a65697478d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1006,7 +835,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5e04d78278864bb986e83191b2cd1ba8",
+       "model_id": "8dfe79e876a24e3ebe982422269986e0",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1046,7 +875,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 196,
    "metadata": {},
    "outputs": [
     {
@@ -1423,14 +1252,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(7.39726337)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fe9f6e40-a216-48be-a787-1d2cce30c849' class='xr-array-in' type='checkbox' checked><label for='section-fe9f6e40-a216-48be-a787-1d2cce30c849' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.397</span></div><div class='xr-array-data'><pre>array(7.39726337)</pre></div></div></li><li class='xr-section-item'><input id='section-f4bd8ac4-9a9b-419a-886f-b1f29a82bd26' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f4bd8ac4-9a9b-419a-886f-b1f29a82bd26' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-039c799e-9ffe-4f1f-bcc9-6b89921d9cd4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-039c799e-9ffe-4f1f-bcc9-6b89921d9cd4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c2fa7839-f671-47b5-a93d-738e526d01c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c2fa7839-f671-47b5-a93d-738e526d01c4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(7.38106334)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e07968f3-ecbf-41d2-97d3-6fc0826783e0' class='xr-array-in' type='checkbox' checked><label for='section-e07968f3-ecbf-41d2-97d3-6fc0826783e0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.381</span></div><div class='xr-array-data'><pre>array(7.38106334)</pre></div></div></li><li class='xr-section-item'><input id='section-3789f021-7111-43db-99d2-7d62b465ec81' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3789f021-7111-43db-99d2-7d62b465ec81' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-59f8a8b2-ded1-429e-b1f2-a6b5537783ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59f8a8b2-ded1-429e-b1f2-a6b5537783ce' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c401956c-7863-40ee-a43c-f21fef6a7402' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c401956c-7863-40ee-a43c-f21fef6a7402' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(7.39726337)"
+       "array(7.38106334)"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 196,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1441,7 +1270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 197,
    "metadata": {},
    "outputs": [
     {
@@ -1818,14 +1647,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(5.51594154)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e28ac29a-3c82-488d-ae39-cbbed76f461b' class='xr-array-in' type='checkbox' checked><label for='section-e28ac29a-3c82-488d-ae39-cbbed76f461b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.516</span></div><div class='xr-array-data'><pre>array(5.51594154)</pre></div></div></li><li class='xr-section-item'><input id='section-91f904fd-75e1-4970-97ff-ecf94fd594e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91f904fd-75e1-4970-97ff-ecf94fd594e3' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-05deade1-2091-4464-87d0-d25baba19d5b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-05deade1-2091-4464-87d0-d25baba19d5b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-16b17f3c-b0c8-4340-9d0a-850478ae30a9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-16b17f3c-b0c8-4340-9d0a-850478ae30a9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(5.41605235)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f3ead9b2-8f79-4124-98b9-f465f0729d43' class='xr-array-in' type='checkbox' checked><label for='section-f3ead9b2-8f79-4124-98b9-f465f0729d43' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.416</span></div><div class='xr-array-data'><pre>array(5.41605235)</pre></div></div></li><li class='xr-section-item'><input id='section-11243071-1f2d-4906-a7ff-9e0e5ec1bbf8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11243071-1f2d-4906-a7ff-9e0e5ec1bbf8' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-97dd01ce-f2cf-45c1-82b2-0b6caeefa29c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97dd01ce-f2cf-45c1-82b2-0b6caeefa29c' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-135e8375-256c-4b07-8189-6c8f8667cd35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-135e8375-256c-4b07-8189-6c8f8667cd35' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(5.51594154)"
+       "array(5.41605235)"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 197,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1836,7 +1665,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 198,
    "metadata": {},
    "outputs": [
     {
@@ -2213,14 +2042,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(1.88132184)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0d8d27e3-ad15-44dd-ae0e-3b95c6f3a61f' class='xr-array-in' type='checkbox' checked><label for='section-0d8d27e3-ad15-44dd-ae0e-3b95c6f3a61f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.881</span></div><div class='xr-array-data'><pre>array(1.88132184)</pre></div></div></li><li class='xr-section-item'><input id='section-8dff7b18-d22a-4e5a-b4b1-62a2610126ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8dff7b18-d22a-4e5a-b4b1-62a2610126ae' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5c5b98c1-5c18-4095-918d-84c37d89c12f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5c5b98c1-5c18-4095-918d-84c37d89c12f' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b2358069-8de5-4d3e-93de-85b0529911ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b2358069-8de5-4d3e-93de-85b0529911ae' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(1.96501099)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-57a243a9-3fc5-4208-82ad-b23c2240609b' class='xr-array-in' type='checkbox' checked><label for='section-57a243a9-3fc5-4208-82ad-b23c2240609b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.965</span></div><div class='xr-array-data'><pre>array(1.96501099)</pre></div></div></li><li class='xr-section-item'><input id='section-582291bf-8f88-474e-8e8e-d4d5d5e3abe7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-582291bf-8f88-474e-8e8e-d4d5d5e3abe7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f99df214-9a86-4984-a146-db7eb3a07cf4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f99df214-9a86-4984-a146-db7eb3a07cf4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4f594beb-cbb6-4207-8cf7-641c27424705' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f594beb-cbb6-4207-8cf7-641c27424705' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(1.88132184)"
+       "array(1.96501099)"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 198,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2242,7 +2071,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 199,
    "metadata": {},
    "outputs": [
     {
@@ -2481,7 +2310,7 @@
        "[1752 rows x 12 columns]"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 199,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2495,7 +2324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 200,
    "metadata": {},
    "outputs": [
     {
@@ -2516,7 +2345,7 @@
        "  <th>Date:</th>             <td>Tue, 08 Jul 2025</td> <th>  Prob (F-statistic):</th>  <td>  0.00</td>  \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Time:</th>                 <td>18:32:48</td>     <th>  Log-Likelihood:    </th> <td> -5386.7</td> \n",
+       "  <th>Time:</th>                 <td>21:57:23</td>     <th>  Log-Likelihood:    </th> <td> -5386.7</td> \n",
        "</tr>\n",
        "<tr>\n",
        "  <th>No. Observations:</th>      <td>  1752</td>      <th>  AIC:               </th> <td>1.079e+04</td>\n",
@@ -2577,7 +2406,7 @@
        "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.885   \\\\\n",
        "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     2692.   \\\\\n",
        "\\textbf{Date:}             & Tue, 08 Jul 2025 & \\textbf{  Prob (F-statistic):} &     0.00    \\\\\n",
-       "\\textbf{Time:}             &     18:32:48     & \\textbf{  Log-Likelihood:    } &   -5386.7   \\\\\n",
+       "\\textbf{Time:}             &     21:57:23     & \\textbf{  Log-Likelihood:    } &   -5386.7   \\\\\n",
        "\\textbf{No. Observations:} &        1752      & \\textbf{  AIC:               } & 1.079e+04   \\\\\n",
        "\\textbf{Df Residuals:}     &        1746      & \\textbf{  BIC:               } & 1.082e+04   \\\\\n",
        "\\textbf{Df Model:}         &           5      & \\textbf{                     } &             \\\\\n",
@@ -2619,7 +2448,7 @@
        "Model:                            OLS   Adj. R-squared:                  0.885\n",
        "Method:                 Least Squares   F-statistic:                     2692.\n",
        "Date:                Tue, 08 Jul 2025   Prob (F-statistic):               0.00\n",
-       "Time:                        18:32:48   Log-Likelihood:                -5386.7\n",
+       "Time:                        21:57:23   Log-Likelihood:                -5386.7\n",
        "No. Observations:                1752   AIC:                         1.079e+04\n",
        "Df Residuals:                    1746   BIC:                         1.082e+04\n",
        "Df Model:                           5                                         \n",
@@ -2647,7 +2476,7 @@
        "\"\"\""
       ]
      },
-     "execution_count": 52,
+     "execution_count": 200,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2663,7 +2492,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 201,
    "metadata": {},
    "outputs": [
     {
@@ -2693,7 +2522,7 @@
        "  <th>Date:</th>            <td>Tue, 08 Jul 2025</td> <th>  Pseudo R-squ.:     </th>  <td>0.05357</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Time:</th>                <td>18:33:10</td>     <th>  Log-Likelihood:    </th> <td> -1107.9</td> \n",
+       "  <th>Time:</th>                <td>21:57:26</td>     <th>  Log-Likelihood:    </th> <td> -1107.9</td> \n",
        "</tr>\n",
        "<tr>\n",
        "  <th>converged:</th>             <td>True</td>       <th>  LL-Null:           </th> <td> -1170.6</td> \n",
@@ -2731,7 +2560,7 @@
        "\\textbf{Model:}           &      Logit       & \\textbf{  Df Residuals:      } &     1747    \\\\\n",
        "\\textbf{Method:}          &       MLE        & \\textbf{  Df Model:          } &        4    \\\\\n",
        "\\textbf{Date:}            & Tue, 08 Jul 2025 & \\textbf{  Pseudo R-squ.:     } &  0.05357    \\\\\n",
-       "\\textbf{Time:}            &     18:33:10     & \\textbf{  Log-Likelihood:    } &   -1107.9   \\\\\n",
+       "\\textbf{Time:}            &     21:57:26     & \\textbf{  Log-Likelihood:    } &   -1107.9   \\\\\n",
        "\\textbf{converged:}       &       True       & \\textbf{  LL-Null:           } &   -1170.6   \\\\\n",
        "\\textbf{Covariance Type:} &    nonrobust     & \\textbf{  LLR p-value:       } & 3.704e-26   \\\\\n",
        "\\bottomrule\n",
@@ -2758,7 +2587,7 @@
        "Model:                          Logit   Df Residuals:                     1747\n",
        "Method:                           MLE   Df Model:                            4\n",
        "Date:                Tue, 08 Jul 2025   Pseudo R-squ.:                 0.05357\n",
-       "Time:                        18:33:10   Log-Likelihood:                -1107.9\n",
+       "Time:                        21:57:26   Log-Likelihood:                -1107.9\n",
        "converged:                       True   LL-Null:                       -1170.6\n",
        "Covariance Type:            nonrobust   LLR p-value:                 3.704e-26\n",
        "===============================================================================\n",
@@ -2773,7 +2602,7 @@
        "\"\"\""
       ]
      },
-     "execution_count": 53,
+     "execution_count": 201,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2785,7 +2614,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 202,
    "metadata": {},
    "outputs": [
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@@ -2805,10 +2634,10 @@
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-       "<text text-anchor=\"middle\" x=\"511.38\" y=\"-237.93\" font-family=\"Times,serif\" font-size=\"14.00\">betas (4)</text>\n",
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-       "<title>cluster14</title>\n",
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+       "<title>cluster34</title>\n",
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@@ -2850,114 +2679,114 @@
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-       "<title>beta_ps</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"271\" cy=\"-413.79\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"271\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
-       "<text text-anchor=\"middle\" x=\"271\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"271\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<title>beta_ps_spline</title>\n",
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+       "<text text-anchor=\"middle\" x=\"298\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
-       "<!-- beta_ps&#45;&gt;spline_features -->\n",
+       "<!-- beta_ps_spline&#45;&gt;spline_features -->\n",
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-       "<title>beta_ps&#45;&gt;spline_features</title>\n",
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+       "<title>beta_ps_spline&#45;&gt;spline_features</title>\n",
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-       "<!-- alpha_outcome -->\n",
+       "<!-- beta_ps -->\n",
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+       "<title>beta_ps</title>\n",
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+       "</g>\n",
+       "<!-- beta_ps&#45;&gt;like -->\n",
+       "<g id=\"edge15\" class=\"edge\">\n",
+       "<title>beta_ps&#45;&gt;like</title>\n",
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        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge15\" class=\"edge\">\n",
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        "<!-- alpha_trt&#45;&gt;p -->\n",
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        "<title>alpha_trt&#45;&gt;p</title>\n",
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       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x330285210>"
+       "<graphviz.graphs.Digraph at 0x285e55180>"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 202,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3098,7 +2941,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 203,
    "metadata": {},
    "outputs": [
     {
@@ -3108,7 +2951,7 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
+      "NUTS: [beta_trt_std, beta_std, beta_ps_spline, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n"
      ]
@@ -3116,7 +2959,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ef1065e4abeb47118b6a816843d863bb",
+       "model_id": "55677f3e13f640c3af35bb20bc47c9bb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3149,19 +2992,18 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 18 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 24 seconds.\n"
      ]
     }
    ],
    "source": [
     "with net_model:\n",
-    "    # start = pm.find_MAP()\n",
     "    idata_net = pm.sample(tune=2000, target_accept=0.98)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 205,
    "metadata": {},
    "outputs": [
     {
@@ -3200,241 +3042,85 @@
        "    <tr>\n",
        "      <th>alpha_trt</th>\n",
        "      <td>-0.483</td>\n",
-       "      <td>0.052</td>\n",
-       "      <td>-0.576</td>\n",
-       "      <td>-0.382</td>\n",
+       "      <td>0.053</td>\n",
+       "      <td>-0.579</td>\n",
+       "      <td>-0.384</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>4206.0</td>\n",
-       "      <td>2931.0</td>\n",
+       "      <td>5177.0</td>\n",
+       "      <td>3056.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.851</td>\n",
-       "      <td>0.259</td>\n",
-       "      <td>-10.315</td>\n",
-       "      <td>-9.355</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>-9.862</td>\n",
+       "      <td>0.251</td>\n",
+       "      <td>-10.348</td>\n",
+       "      <td>-9.418</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4117.0</td>\n",
-       "      <td>2872.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6022.0</td>\n",
+       "      <td>2892.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-13.650</td>\n",
-       "      <td>0.189</td>\n",
-       "      <td>-14.008</td>\n",
-       "      <td>-13.300</td>\n",
+       "      <td>-13.672</td>\n",
+       "      <td>0.211</td>\n",
+       "      <td>-14.045</td>\n",
+       "      <td>-13.269</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>3402.0</td>\n",
-       "      <td>2942.0</td>\n",
+       "      <td>2854.0</td>\n",
+       "      <td>3114.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[temperature]</th>\n",
-       "      <td>4.082</td>\n",
-       "      <td>0.129</td>\n",
-       "      <td>3.848</td>\n",
-       "      <td>4.336</td>\n",
+       "      <td>4.099</td>\n",
+       "      <td>0.140</td>\n",
+       "      <td>3.818</td>\n",
+       "      <td>4.343</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>5250.0</td>\n",
-       "      <td>2937.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3589.0</td>\n",
+       "      <td>3081.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[health]</th>\n",
-       "      <td>2.217</td>\n",
-       "      <td>0.188</td>\n",
-       "      <td>1.857</td>\n",
-       "      <td>2.563</td>\n",
+       "      <td>2.210</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>1.858</td>\n",
+       "      <td>2.589</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>3404.0</td>\n",
-       "      <td>2487.0</td>\n",
+       "      <td>3387.0</td>\n",
+       "      <td>2828.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>0.019</td>\n",
-       "      <td>1.009</td>\n",
-       "      <td>-1.932</td>\n",
-       "      <td>1.914</td>\n",
-       "      <td>0.014</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>0.161</td>\n",
+       "      <td>1.021</td>\n",
+       "      <td>-1.786</td>\n",
+       "      <td>2.028</td>\n",
+       "      <td>0.023</td>\n",
        "      <td>0.016</td>\n",
-       "      <td>5408.0</td>\n",
-       "      <td>2601.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.231</td>\n",
-       "      <td>0.951</td>\n",
-       "      <td>-2.057</td>\n",
-       "      <td>1.504</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>5603.0</td>\n",
-       "      <td>3014.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[2]</th>\n",
-       "      <td>0.432</td>\n",
-       "      <td>0.900</td>\n",
-       "      <td>-1.327</td>\n",
-       "      <td>2.006</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>4733.0</td>\n",
-       "      <td>3148.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[3]</th>\n",
-       "      <td>0.559</td>\n",
-       "      <td>0.892</td>\n",
-       "      <td>-1.097</td>\n",
-       "      <td>2.200</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>4335.0</td>\n",
-       "      <td>2963.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[4]</th>\n",
-       "      <td>-0.019</td>\n",
-       "      <td>0.892</td>\n",
-       "      <td>-1.641</td>\n",
-       "      <td>1.712</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>5152.0</td>\n",
-       "      <td>3039.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[5]</th>\n",
-       "      <td>-0.095</td>\n",
-       "      <td>0.844</td>\n",
-       "      <td>-1.641</td>\n",
-       "      <td>1.494</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>4887.0</td>\n",
-       "      <td>3230.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[6]</th>\n",
-       "      <td>-0.119</td>\n",
-       "      <td>0.882</td>\n",
-       "      <td>-1.730</td>\n",
-       "      <td>1.503</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>4211.0</td>\n",
-       "      <td>3171.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[7]</th>\n",
-       "      <td>0.562</td>\n",
-       "      <td>0.834</td>\n",
-       "      <td>-0.937</td>\n",
-       "      <td>2.210</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>3850.0</td>\n",
-       "      <td>3176.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[8]</th>\n",
-       "      <td>-0.547</td>\n",
-       "      <td>0.859</td>\n",
-       "      <td>-2.074</td>\n",
-       "      <td>1.134</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>4928.0</td>\n",
-       "      <td>2753.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[9]</th>\n",
-       "      <td>-1.006</td>\n",
-       "      <td>0.878</td>\n",
-       "      <td>-2.585</td>\n",
-       "      <td>0.681</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>4968.0</td>\n",
-       "      <td>3068.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[10]</th>\n",
-       "      <td>-0.018</td>\n",
-       "      <td>0.897</td>\n",
-       "      <td>-1.689</td>\n",
-       "      <td>1.661</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>4584.0</td>\n",
-       "      <td>2798.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[11]</th>\n",
-       "      <td>0.202</td>\n",
-       "      <td>0.934</td>\n",
-       "      <td>-1.468</td>\n",
-       "      <td>2.036</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>4988.0</td>\n",
-       "      <td>2722.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[12]</th>\n",
-       "      <td>0.299</td>\n",
-       "      <td>0.921</td>\n",
-       "      <td>-1.319</td>\n",
-       "      <td>2.108</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>5434.0</td>\n",
-       "      <td>3252.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[13]</th>\n",
-       "      <td>0.001</td>\n",
-       "      <td>1.015</td>\n",
-       "      <td>-1.847</td>\n",
-       "      <td>1.922</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>5180.0</td>\n",
-       "      <td>2730.0</td>\n",
+       "      <td>1997.0</td>\n",
+       "      <td>2611.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>39.438</td>\n",
-       "      <td>0.201</td>\n",
-       "      <td>39.044</td>\n",
-       "      <td>39.797</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>3195.0</td>\n",
-       "      <td>2766.0</td>\n",
+       "      <td>39.363</td>\n",
+       "      <td>0.432</td>\n",
+       "      <td>38.569</td>\n",
+       "      <td>40.190</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>2024.0</td>\n",
+       "      <td>2499.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3443,51 +3129,25 @@
       ],
       "text/plain": [
        "                      mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "alpha_trt           -0.483  0.052  -0.576   -0.382      0.001    0.001   \n",
-       "beta_[trt]          -9.851  0.259 -10.315   -9.355      0.004    0.003   \n",
-       "beta_[income]      -13.650  0.189 -14.008  -13.300      0.003    0.002   \n",
-       "beta_[temperature]   4.082  0.129   3.848    4.336      0.002    0.001   \n",
-       "beta_[health]        2.217  0.188   1.857    2.563      0.003    0.002   \n",
-       "beta_ps[0]           0.019  1.009  -1.932    1.914      0.014    0.016   \n",
-       "beta_ps[1]          -0.231  0.951  -2.057    1.504      0.013    0.015   \n",
-       "beta_ps[2]           0.432  0.900  -1.327    2.006      0.013    0.013   \n",
-       "beta_ps[3]           0.559  0.892  -1.097    2.200      0.014    0.012   \n",
-       "beta_ps[4]          -0.019  0.892  -1.641    1.712      0.012    0.014   \n",
-       "beta_ps[5]          -0.095  0.844  -1.641    1.494      0.012    0.013   \n",
-       "beta_ps[6]          -0.119  0.882  -1.730    1.503      0.014    0.013   \n",
-       "beta_ps[7]           0.562  0.834  -0.937    2.210      0.013    0.011   \n",
-       "beta_ps[8]          -0.547  0.859  -2.074    1.134      0.012    0.011   \n",
-       "beta_ps[9]          -1.006  0.878  -2.585    0.681      0.012    0.011   \n",
-       "beta_ps[10]         -0.018  0.897  -1.689    1.661      0.013    0.014   \n",
-       "beta_ps[11]          0.202  0.934  -1.468    2.036      0.013    0.015   \n",
-       "beta_ps[12]          0.299  0.921  -1.319    2.108      0.012    0.013   \n",
-       "beta_ps[13]          0.001  1.015  -1.847    1.922      0.014    0.018   \n",
-       "alpha_outcome       39.438  0.201  39.044   39.797      0.004    0.003   \n",
+       "alpha_trt           -0.483  0.053  -0.579   -0.384      0.001    0.001   \n",
+       "beta_[trt]          -9.862  0.251 -10.348   -9.418      0.003    0.002   \n",
+       "beta_[income]      -13.672  0.211 -14.045  -13.269      0.004    0.003   \n",
+       "beta_[temperature]   4.099  0.140   3.818    4.343      0.002    0.002   \n",
+       "beta_[health]        2.210  0.193   1.858    2.589      0.003    0.002   \n",
+       "beta_ps              0.161  1.021  -1.786    2.028      0.023    0.016   \n",
+       "alpha_outcome       39.363  0.432  38.569   40.190      0.010    0.007   \n",
        "\n",
        "                    ess_bulk  ess_tail  r_hat  \n",
-       "alpha_trt             4206.0    2931.0    1.0  \n",
-       "beta_[trt]            4117.0    2872.0    1.0  \n",
-       "beta_[income]         3402.0    2942.0    1.0  \n",
-       "beta_[temperature]    5250.0    2937.0    1.0  \n",
-       "beta_[health]         3404.0    2487.0    1.0  \n",
-       "beta_ps[0]            5408.0    2601.0    1.0  \n",
-       "beta_ps[1]            5603.0    3014.0    1.0  \n",
-       "beta_ps[2]            4733.0    3148.0    1.0  \n",
-       "beta_ps[3]            4335.0    2963.0    1.0  \n",
-       "beta_ps[4]            5152.0    3039.0    1.0  \n",
-       "beta_ps[5]            4887.0    3230.0    1.0  \n",
-       "beta_ps[6]            4211.0    3171.0    1.0  \n",
-       "beta_ps[7]            3850.0    3176.0    1.0  \n",
-       "beta_ps[8]            4928.0    2753.0    1.0  \n",
-       "beta_ps[9]            4968.0    3068.0    1.0  \n",
-       "beta_ps[10]           4584.0    2798.0    1.0  \n",
-       "beta_ps[11]           4988.0    2722.0    1.0  \n",
-       "beta_ps[12]           5434.0    3252.0    1.0  \n",
-       "beta_ps[13]           5180.0    2730.0    1.0  \n",
-       "alpha_outcome         3195.0    2766.0    1.0  "
+       "alpha_trt             5177.0    3056.0    1.0  \n",
+       "beta_[trt]            6022.0    2892.0    1.0  \n",
+       "beta_[income]         2854.0    3114.0    1.0  \n",
+       "beta_[temperature]    3589.0    3081.0    1.0  \n",
+       "beta_[health]         3387.0    2828.0    1.0  \n",
+       "beta_ps               1997.0    2611.0    1.0  \n",
+       "alpha_outcome         2024.0    2499.0    1.0  "
       ]
      },
-     "execution_count": 57,
+     "execution_count": 205,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3496,6 +3156,36 @@
     "az.summary(idata_net, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 208,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: title={'center': 'beta_\\ntrt'}>"
+      ]
+     },
+     "execution_count": 208,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 720x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_posterior(idata_net, var_names=[\"beta_\"], coords={\"betas\": [\"trt\"]})"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -3505,7 +3195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 209,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3518,7 +3208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 210,
    "metadata": {},
    "outputs": [
     {
@@ -3540,7 +3230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 211,
    "metadata": {},
    "outputs": [
     {
@@ -3552,7 +3242,7 @@
        "Name: re78, dtype: float64"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 211,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3563,7 +3253,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 212,
    "metadata": {},
    "outputs": [
     {
@@ -3583,10 +3273,10 @@
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@@ -3609,13 +3299,13 @@
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+       "<title>cluster34</title>\n",
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        "</g>\n",
        "<!-- X -->\n",
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@@ -3628,100 +3318,100 @@
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        "<title>p</title>\n",
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        "<!-- X&#45;&gt;p -->\n",
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        "<title>X&#45;&gt;p</title>\n",
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        "<!-- X_outcome -->\n",
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        "<title>X_outcome</title>\n",
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        "<title>Y</title>\n",
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-       "<text text-anchor=\"middle\" x=\"140\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
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        "<title>T</title>\n",
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        "<!-- t_pred&#45;&gt;T -->\n",
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        "<!-- like&#45;&gt;Y -->\n",
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@@ -3734,87 +3424,101 @@
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        "<title>beta_trt_&#45;&gt;p</title>\n",
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-       "<text text-anchor=\"middle\" x=\"468\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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-       "<!-- beta_ps -->\n",
+       "<!-- beta_ps_spline -->\n",
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+       "<title>beta_ps_spline</title>\n",
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+       "<!-- beta_ps_spline&#45;&gt;spline_features -->\n",
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-       "<!-- alpha_outcome -->\n",
+       "<!-- beta_ps -->\n",
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+       "<title>beta_ps</title>\n",
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+       "<text text-anchor=\"middle\" x=\"873\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_ps&#45;&gt;like -->\n",
+       "<g id=\"edge13\" class=\"edge\">\n",
+       "<title>beta_ps&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M856.24,-258.91C848.16,-245.45 837.11,-231.5 823,-223.32 780.39,-198.61 452.62,-182.93 323.26,-177.65\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"323.75,-174.17 313.62,-177.26 323.47,-181.16 323.75,-174.17\"/>\n",
+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node14\" class=\"node\">\n",
        "<title>alpha_outcome</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"730\" cy=\"-296.48\" rx=\"70.18\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"730\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
-       "<text text-anchor=\"middle\" x=\"730\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"730\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"610\" cy=\"-296.48\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"610\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"610\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"610\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge13\" class=\"edge\">\n",
+       "<g id=\"edge14\" class=\"edge\">\n",
        "<title>alpha_outcome&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M699.51,-259.78C685.81,-246.1 668.55,-231.77 650,-223.32 590.69,-196.3 403.28,-183.13 310.74,-178.14\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"311.09,-174.65 300.92,-177.62 310.72,-181.64 311.09,-174.65\"/>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M580.38,-259.55C567.49,-246.17 551.36,-232.12 534,-223.32 466.58,-189.12 378.46,-179.15 323.29,-176.42\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"323.69,-172.93 313.55,-176 323.39,-179.92 323.69,-172.93\"/>\n",
        "</g>\n",
        "<!-- alpha_trt -->\n",
-       "<g id=\"node14\" class=\"node\">\n",
+       "<g id=\"node15\" class=\"node\">\n",
        "<title>alpha_trt</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"354\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"354\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
-       "<text text-anchor=\"middle\" x=\"354\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"354\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"407\" cy=\"-426.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"407\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
+       "<text text-anchor=\"middle\" x=\"407\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"407\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
        "<g id=\"edge5\" class=\"edge\">\n",
        "<title>alpha_trt&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M336.81,-388.61C328.55,-375.13 317.3,-361.2 303,-353.13 281.46,-340.98 214.8,-354.71 192,-345.13 184.87,-342.14 178.04,-337.82 171.77,-332.98\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"174.09,-330.35 164.19,-326.59 169.58,-335.7 174.09,-330.35\"/>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M389.89,-388.47C381.64,-374.97 370.37,-361.07 356,-353.13 326.58,-336.9 236.1,-357.85 205,-345.13 197.6,-342.11 190.53,-337.62 184.08,-332.59\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"186.75,-330.27 176.86,-326.46 182.22,-335.6 186.75,-330.27\"/>\n",
        "</g>\n",
        "</g>\n",
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x30d4ec100>"
+       "<graphviz.graphs.Digraph at 0x332571ff0>"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 212,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3832,15 +3536,13 @@
     "    .astype(np.int32)\n",
     "    .values\n",
     ")\n",
-    "# X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
+    "\n",
     "X_outcome = (\n",
     "    lalonde[[\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
     "    .astype(np.int32)\n",
     "    .values\n",
     ")\n",
-    "# X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
     "T_data = lalonde[\"treat\"].values\n",
-    "# X_outcome[:, 0] = T_data\n",
     "Y_data = lalonde[\"re78\"].values\n",
     "\n",
     "\n",
@@ -3860,13 +3562,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 213,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3ac08e600b364d798c7a0029d8156227",
+       "model_id": "95714d992e254caf976969b2f8bff41a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3880,7 +3582,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "944999587bca4e14b3970c4722936425",
+       "model_id": "5d294c0ee2fe478d9f7afebf91ff98d9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3894,7 +3596,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3d1171a2045540c0aa5c6a0312d4766d",
+       "model_id": "fe23b8e9bc9d48928fb4e7f889be60fe",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3908,7 +3610,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "475f2d2506834f7c9a4a3bcabfb39128",
+       "model_id": "348a1af1b3754aceb106f6312eac13bf",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3927,7 +3629,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 214,
    "metadata": {},
    "outputs": [
     {
@@ -3966,13 +3668,13 @@
        "    <tr>\n",
        "      <th>alpha_trt</th>\n",
        "      <td>-0.790</td>\n",
-       "      <td>0.715</td>\n",
-       "      <td>-2.141</td>\n",
-       "      <td>0.504</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>2236.0</td>\n",
-       "      <td>2896.0</td>\n",
+       "      <td>0.698</td>\n",
+       "      <td>-2.115</td>\n",
+       "      <td>0.501</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>2983.0</td>\n",
+       "      <td>2748.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -3980,335 +3682,179 @@
        "      <td>0.005</td>\n",
        "      <td>0.013</td>\n",
        "      <td>-0.019</td>\n",
-       "      <td>0.029</td>\n",
+       "      <td>0.028</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>4471.0</td>\n",
-       "      <td>2740.0</td>\n",
+       "      <td>5098.0</td>\n",
+       "      <td>3089.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[educ]</th>\n",
        "      <td>0.106</td>\n",
-       "      <td>0.052</td>\n",
-       "      <td>0.005</td>\n",
+       "      <td>0.051</td>\n",
+       "      <td>0.007</td>\n",
        "      <td>0.198</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>2601.0</td>\n",
-       "      <td>3087.0</td>\n",
+       "      <td>3154.0</td>\n",
+       "      <td>2689.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[hispan]</th>\n",
-       "      <td>-2.224</td>\n",
-       "      <td>0.359</td>\n",
-       "      <td>-2.903</td>\n",
-       "      <td>-1.567</td>\n",
+       "      <td>-2.216</td>\n",
+       "      <td>0.363</td>\n",
+       "      <td>-2.920</td>\n",
+       "      <td>-1.560</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>4920.0</td>\n",
-       "      <td>2923.0</td>\n",
+       "      <td>5801.0</td>\n",
+       "      <td>2600.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[white]</th>\n",
-       "      <td>-3.180</td>\n",
-       "      <td>0.285</td>\n",
-       "      <td>-3.695</td>\n",
-       "      <td>-2.625</td>\n",
+       "      <td>-3.190</td>\n",
+       "      <td>0.281</td>\n",
+       "      <td>-3.707</td>\n",
+       "      <td>-2.666</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>6046.0</td>\n",
-       "      <td>3012.0</td>\n",
+       "      <td>6291.0</td>\n",
+       "      <td>3060.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[married]</th>\n",
-       "      <td>-0.927</td>\n",
-       "      <td>0.266</td>\n",
-       "      <td>-1.433</td>\n",
-       "      <td>-0.449</td>\n",
+       "      <td>-0.926</td>\n",
+       "      <td>0.275</td>\n",
+       "      <td>-1.411</td>\n",
+       "      <td>-0.393</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5344.0</td>\n",
-       "      <td>2862.0</td>\n",
+       "      <td>5715.0</td>\n",
+       "      <td>2943.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[nodegree]</th>\n",
-       "      <td>0.593</td>\n",
-       "      <td>0.291</td>\n",
-       "      <td>0.072</td>\n",
-       "      <td>1.150</td>\n",
+       "      <td>0.596</td>\n",
+       "      <td>0.287</td>\n",
+       "      <td>0.061</td>\n",
+       "      <td>1.128</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>3230.0</td>\n",
-       "      <td>3414.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3618.0</td>\n",
+       "      <td>3214.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1199.389</td>\n",
-       "      <td>444.830</td>\n",
-       "      <td>393.085</td>\n",
-       "      <td>2065.335</td>\n",
-       "      <td>8.521</td>\n",
-       "      <td>6.064</td>\n",
-       "      <td>2729.0</td>\n",
-       "      <td>3030.0</td>\n",
+       "      <td>-1995.540</td>\n",
+       "      <td>146.711</td>\n",
+       "      <td>-2275.632</td>\n",
+       "      <td>-1730.047</td>\n",
+       "      <td>2.774</td>\n",
+       "      <td>1.963</td>\n",
+       "      <td>2796.0</td>\n",
+       "      <td>2580.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1013.153</td>\n",
-       "      <td>334.229</td>\n",
-       "      <td>402.321</td>\n",
-       "      <td>1644.151</td>\n",
-       "      <td>6.148</td>\n",
-       "      <td>4.364</td>\n",
-       "      <td>2957.0</td>\n",
-       "      <td>3059.0</td>\n",
+       "      <td>1149.428</td>\n",
+       "      <td>46.173</td>\n",
+       "      <td>1064.198</td>\n",
+       "      <td>1237.905</td>\n",
+       "      <td>0.708</td>\n",
+       "      <td>0.500</td>\n",
+       "      <td>4265.0</td>\n",
+       "      <td>2900.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>33.338</td>\n",
-       "      <td>12.152</td>\n",
-       "      <td>10.834</td>\n",
-       "      <td>55.961</td>\n",
-       "      <td>0.196</td>\n",
-       "      <td>0.139</td>\n",
-       "      <td>3830.0</td>\n",
-       "      <td>3044.0</td>\n",
+       "      <td>53.599</td>\n",
+       "      <td>1.945</td>\n",
+       "      <td>49.927</td>\n",
+       "      <td>57.131</td>\n",
+       "      <td>0.029</td>\n",
+       "      <td>0.020</td>\n",
+       "      <td>4613.0</td>\n",
+       "      <td>3049.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>321.572</td>\n",
-       "      <td>39.263</td>\n",
-       "      <td>245.848</td>\n",
-       "      <td>393.190</td>\n",
-       "      <td>0.781</td>\n",
-       "      <td>0.552</td>\n",
-       "      <td>2524.0</td>\n",
-       "      <td>2941.0</td>\n",
+       "      <td>504.968</td>\n",
+       "      <td>9.573</td>\n",
+       "      <td>487.939</td>\n",
+       "      <td>523.801</td>\n",
+       "      <td>0.175</td>\n",
+       "      <td>0.124</td>\n",
+       "      <td>2986.0</td>\n",
+       "      <td>2946.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>1787.349</td>\n",
-       "      <td>417.578</td>\n",
-       "      <td>1013.706</td>\n",
-       "      <td>2574.959</td>\n",
-       "      <td>7.000</td>\n",
-       "      <td>4.950</td>\n",
-       "      <td>3569.0</td>\n",
-       "      <td>3013.0</td>\n",
+       "      <td>2135.166</td>\n",
+       "      <td>63.151</td>\n",
+       "      <td>2016.390</td>\n",
+       "      <td>2253.170</td>\n",
+       "      <td>0.934</td>\n",
+       "      <td>0.661</td>\n",
+       "      <td>4583.0</td>\n",
+       "      <td>2990.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1327.948</td>\n",
-       "      <td>323.823</td>\n",
-       "      <td>702.170</td>\n",
-       "      <td>1918.482</td>\n",
-       "      <td>5.975</td>\n",
-       "      <td>4.225</td>\n",
-       "      <td>2934.0</td>\n",
-       "      <td>2602.0</td>\n",
+       "      <td>1517.431</td>\n",
+       "      <td>46.790</td>\n",
+       "      <td>1431.319</td>\n",
+       "      <td>1605.771</td>\n",
+       "      <td>0.747</td>\n",
+       "      <td>0.529</td>\n",
+       "      <td>3921.0</td>\n",
+       "      <td>3050.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2111.169</td>\n",
-       "      <td>285.307</td>\n",
-       "      <td>1593.636</td>\n",
-       "      <td>2646.140</td>\n",
-       "      <td>4.125</td>\n",
-       "      <td>2.936</td>\n",
-       "      <td>4771.0</td>\n",
-       "      <td>3192.0</td>\n",
+       "      <td>2135.770</td>\n",
+       "      <td>39.340</td>\n",
+       "      <td>2067.000</td>\n",
+       "      <td>2212.694</td>\n",
+       "      <td>0.542</td>\n",
+       "      <td>0.383</td>\n",
+       "      <td>5262.0</td>\n",
+       "      <td>3487.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-972.194</td>\n",
-       "      <td>260.948</td>\n",
-       "      <td>-1479.864</td>\n",
-       "      <td>-485.091</td>\n",
-       "      <td>4.493</td>\n",
-       "      <td>3.177</td>\n",
-       "      <td>3365.0</td>\n",
-       "      <td>3218.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.020</td>\n",
-       "      <td>1.001</td>\n",
-       "      <td>-2.000</td>\n",
-       "      <td>1.698</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>4943.0</td>\n",
-       "      <td>2847.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>0.023</td>\n",
-       "      <td>0.987</td>\n",
-       "      <td>-1.782</td>\n",
-       "      <td>1.878</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>6715.0</td>\n",
-       "      <td>2958.0</td>\n",
+       "      <td>-129.812</td>\n",
+       "      <td>52.011</td>\n",
+       "      <td>-224.877</td>\n",
+       "      <td>-31.159</td>\n",
+       "      <td>0.933</td>\n",
+       "      <td>0.663</td>\n",
+       "      <td>3105.0</td>\n",
+       "      <td>3027.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[2]</th>\n",
-       "      <td>-0.020</td>\n",
-       "      <td>1.038</td>\n",
-       "      <td>-2.053</td>\n",
-       "      <td>1.814</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>5725.0</td>\n",
-       "      <td>2989.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[3]</th>\n",
-       "      <td>-0.019</td>\n",
-       "      <td>1.010</td>\n",
-       "      <td>-1.956</td>\n",
-       "      <td>1.745</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>6658.0</td>\n",
-       "      <td>2979.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[4]</th>\n",
-       "      <td>0.012</td>\n",
-       "      <td>1.022</td>\n",
-       "      <td>-1.870</td>\n",
-       "      <td>1.930</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>5660.0</td>\n",
-       "      <td>3206.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[5]</th>\n",
-       "      <td>-0.008</td>\n",
-       "      <td>0.971</td>\n",
-       "      <td>-1.865</td>\n",
-       "      <td>1.826</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>6364.0</td>\n",
-       "      <td>3134.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[6]</th>\n",
-       "      <td>0.021</td>\n",
-       "      <td>1.004</td>\n",
-       "      <td>-1.775</td>\n",
-       "      <td>2.015</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>5917.0</td>\n",
-       "      <td>3029.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[7]</th>\n",
-       "      <td>0.008</td>\n",
-       "      <td>1.010</td>\n",
-       "      <td>-1.868</td>\n",
-       "      <td>1.948</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>6954.0</td>\n",
-       "      <td>3034.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[8]</th>\n",
-       "      <td>-0.022</td>\n",
-       "      <td>1.005</td>\n",
-       "      <td>-1.857</td>\n",
-       "      <td>1.926</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>6690.0</td>\n",
-       "      <td>2990.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[9]</th>\n",
-       "      <td>-0.012</td>\n",
-       "      <td>0.994</td>\n",
-       "      <td>-1.907</td>\n",
-       "      <td>1.795</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>6351.0</td>\n",
-       "      <td>2881.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[10]</th>\n",
-       "      <td>0.008</td>\n",
-       "      <td>1.022</td>\n",
-       "      <td>-1.909</td>\n",
-       "      <td>1.867</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.019</td>\n",
-       "      <td>5417.0</td>\n",
-       "      <td>2703.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[11]</th>\n",
-       "      <td>-0.005</td>\n",
-       "      <td>1.011</td>\n",
-       "      <td>-1.916</td>\n",
-       "      <td>1.793</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>6116.0</td>\n",
-       "      <td>2989.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[12]</th>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1.009</td>\n",
-       "      <td>-1.897</td>\n",
-       "      <td>1.890</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.019</td>\n",
-       "      <td>5771.0</td>\n",
-       "      <td>2895.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[13]</th>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.975</td>\n",
-       "      <td>-1.711</td>\n",
-       "      <td>1.898</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>5663.0</td>\n",
-       "      <td>3137.0</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>0.031</td>\n",
+       "      <td>0.963</td>\n",
+       "      <td>-1.787</td>\n",
+       "      <td>1.813</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>5835.0</td>\n",
+       "      <td>3107.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4317,69 +3863,43 @@
       ],
       "text/plain": [
        "                         mean       sd    hdi_3%   hdi_97%  mcse_mean  \\\n",
-       "alpha_trt              -0.790    0.715    -2.141     0.504      0.015   \n",
-       "beta_trt_[age]          0.005    0.013    -0.019     0.029      0.000   \n",
-       "beta_trt_[educ]         0.106    0.052     0.005     0.198      0.001   \n",
-       "beta_trt_[hispan]      -2.224    0.359    -2.903    -1.567      0.005   \n",
-       "beta_trt_[white]       -3.180    0.285    -3.695    -2.625      0.004   \n",
-       "beta_trt_[married]     -0.927    0.266    -1.433    -0.449      0.004   \n",
-       "beta_trt_[nodegree]     0.593    0.291     0.072     1.150      0.005   \n",
-       "alpha_outcome        1199.389  444.830   393.085  2065.335      8.521   \n",
-       "beta_[treat]         1013.153  334.229   402.321  1644.151      6.148   \n",
-       "beta_[age]             33.338   12.152    10.834    55.961      0.196   \n",
-       "beta_[educ]           321.572   39.263   245.848   393.190      0.781   \n",
-       "beta_[hispan]        1787.349  417.578  1013.706  2574.959      7.000   \n",
-       "beta_[white]         1327.948  323.823   702.170  1918.482      5.975   \n",
-       "beta_[married]       2111.169  285.307  1593.636  2646.140      4.125   \n",
-       "beta_[nodegree]      -972.194  260.948 -1479.864  -485.091      4.493   \n",
-       "beta_ps[0]             -0.020    1.001    -2.000     1.698      0.014   \n",
-       "beta_ps[1]              0.023    0.987    -1.782     1.878      0.012   \n",
-       "beta_ps[2]             -0.020    1.038    -2.053     1.814      0.014   \n",
-       "beta_ps[3]             -0.019    1.010    -1.956     1.745      0.012   \n",
-       "beta_ps[4]              0.012    1.022    -1.870     1.930      0.014   \n",
-       "beta_ps[5]             -0.008    0.971    -1.865     1.826      0.012   \n",
-       "beta_ps[6]              0.021    1.004    -1.775     2.015      0.013   \n",
-       "beta_ps[7]              0.008    1.010    -1.868     1.948      0.012   \n",
-       "beta_ps[8]             -0.022    1.005    -1.857     1.926      0.012   \n",
-       "beta_ps[9]             -0.012    0.994    -1.907     1.795      0.012   \n",
-       "beta_ps[10]             0.008    1.022    -1.909     1.867      0.014   \n",
-       "beta_ps[11]            -0.005    1.011    -1.916     1.793      0.013   \n",
-       "beta_ps[12]             0.000    1.009    -1.897     1.890      0.013   \n",
-       "beta_ps[13]             0.001    0.975    -1.711     1.898      0.013   \n",
+       "alpha_trt              -0.790    0.698    -2.115     0.501      0.013   \n",
+       "beta_trt_[age]          0.005    0.013    -0.019     0.028      0.000   \n",
+       "beta_trt_[educ]         0.106    0.051     0.007     0.198      0.001   \n",
+       "beta_trt_[hispan]      -2.216    0.363    -2.920    -1.560      0.005   \n",
+       "beta_trt_[white]       -3.190    0.281    -3.707    -2.666      0.004   \n",
+       "beta_trt_[married]     -0.926    0.275    -1.411    -0.393      0.004   \n",
+       "beta_trt_[nodegree]     0.596    0.287     0.061     1.128      0.005   \n",
+       "alpha_outcome       -1995.540  146.711 -2275.632 -1730.047      2.774   \n",
+       "beta_[treat]         1149.428   46.173  1064.198  1237.905      0.708   \n",
+       "beta_[age]             53.599    1.945    49.927    57.131      0.029   \n",
+       "beta_[educ]           504.968    9.573   487.939   523.801      0.175   \n",
+       "beta_[hispan]        2135.166   63.151  2016.390  2253.170      0.934   \n",
+       "beta_[white]         1517.431   46.790  1431.319  1605.771      0.747   \n",
+       "beta_[married]       2135.770   39.340  2067.000  2212.694      0.542   \n",
+       "beta_[nodegree]      -129.812   52.011  -224.877   -31.159      0.933   \n",
+       "beta_ps                 0.031    0.963    -1.787     1.813      0.013   \n",
        "\n",
        "                     mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "alpha_trt              0.011    2236.0    2896.0    1.0  \n",
-       "beta_trt_[age]         0.000    4471.0    2740.0    1.0  \n",
-       "beta_trt_[educ]        0.001    2601.0    3087.0    1.0  \n",
-       "beta_trt_[hispan]      0.004    4920.0    2923.0    1.0  \n",
-       "beta_trt_[white]       0.003    6046.0    3012.0    1.0  \n",
-       "beta_trt_[married]     0.003    5344.0    2862.0    1.0  \n",
-       "beta_trt_[nodegree]    0.004    3230.0    3414.0    1.0  \n",
-       "alpha_outcome          6.064    2729.0    3030.0    1.0  \n",
-       "beta_[treat]           4.364    2957.0    3059.0    1.0  \n",
-       "beta_[age]             0.139    3830.0    3044.0    1.0  \n",
-       "beta_[educ]            0.552    2524.0    2941.0    1.0  \n",
-       "beta_[hispan]          4.950    3569.0    3013.0    1.0  \n",
-       "beta_[white]           4.225    2934.0    2602.0    1.0  \n",
-       "beta_[married]         2.936    4771.0    3192.0    1.0  \n",
-       "beta_[nodegree]        3.177    3365.0    3218.0    1.0  \n",
-       "beta_ps[0]             0.017    4943.0    2847.0    1.0  \n",
-       "beta_ps[1]             0.016    6715.0    2958.0    1.0  \n",
-       "beta_ps[2]             0.017    5725.0    2989.0    1.0  \n",
-       "beta_ps[3]             0.017    6658.0    2979.0    1.0  \n",
-       "beta_ps[4]             0.017    5660.0    3206.0    1.0  \n",
-       "beta_ps[5]             0.016    6364.0    3134.0    1.0  \n",
-       "beta_ps[6]             0.017    5917.0    3029.0    1.0  \n",
-       "beta_ps[7]             0.017    6954.0    3034.0    1.0  \n",
-       "beta_ps[8]             0.017    6690.0    2990.0    1.0  \n",
-       "beta_ps[9]             0.017    6351.0    2881.0    1.0  \n",
-       "beta_ps[10]            0.019    5417.0    2703.0    1.0  \n",
-       "beta_ps[11]            0.017    6116.0    2989.0    1.0  \n",
-       "beta_ps[12]            0.019    5771.0    2895.0    1.0  \n",
-       "beta_ps[13]            0.017    5663.0    3137.0    1.0  "
+       "alpha_trt              0.010    2983.0    2748.0    1.0  \n",
+       "beta_trt_[age]         0.000    5098.0    3089.0    1.0  \n",
+       "beta_trt_[educ]        0.001    3154.0    2689.0    1.0  \n",
+       "beta_trt_[hispan]      0.004    5801.0    2600.0    1.0  \n",
+       "beta_trt_[white]       0.003    6291.0    3060.0    1.0  \n",
+       "beta_trt_[married]     0.003    5715.0    2943.0    1.0  \n",
+       "beta_trt_[nodegree]    0.003    3618.0    3214.0    1.0  \n",
+       "alpha_outcome          1.963    2796.0    2580.0    1.0  \n",
+       "beta_[treat]           0.500    4265.0    2900.0    1.0  \n",
+       "beta_[age]             0.020    4613.0    3049.0    1.0  \n",
+       "beta_[educ]            0.124    2986.0    2946.0    1.0  \n",
+       "beta_[hispan]          0.661    4583.0    2990.0    1.0  \n",
+       "beta_[white]           0.529    3921.0    3050.0    1.0  \n",
+       "beta_[married]         0.383    5262.0    3487.0    1.0  \n",
+       "beta_[nodegree]        0.663    3105.0    3027.0    1.0  \n",
+       "beta_ps                0.015    5835.0    3107.0    1.0  "
       ]
      },
-     "execution_count": 95,
+     "execution_count": 214,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4393,7 +3913,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 215,
    "metadata": {},
    "outputs": [
     {
@@ -4406,7 +3926,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3a3574a2e4e14eba8d5be1cade886382",
+       "model_id": "676682714e074969a1a280536b33e6c9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4437,7 +3957,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c8f2362e245349f2bca9dfe0edba721c",
+       "model_id": "75a71f2b14e1468cb9605bac5c9ecf95",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4486,7 +4006,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 216,
    "metadata": {},
    "outputs": [
     {
@@ -4863,14 +4383,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(1013.95471061)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5f86018a-35ab-4001-b595-db5dab5cd923' class='xr-array-in' type='checkbox' checked><label for='section-5f86018a-35ab-4001-b595-db5dab5cd923' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.014e+03</span></div><div class='xr-array-data'><pre>array(1013.95471061)</pre></div></div></li><li class='xr-section-item'><input id='section-d402faf3-f3d0-4f13-8660-0ed6ec93b1a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d402faf3-f3d0-4f13-8660-0ed6ec93b1a3' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e38b17a6-3f11-48a9-bff9-9acb5e2ac06b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e38b17a6-3f11-48a9-bff9-9acb5e2ac06b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-646dc435-35ea-4ffd-84e5-c91c09467c2d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-646dc435-35ea-4ffd-84e5-c91c09467c2d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(1149.42770137)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-73c5193e-cca8-4d18-b16b-fb549ff91555' class='xr-array-in' type='checkbox' checked><label for='section-73c5193e-cca8-4d18-b16b-fb549ff91555' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.149e+03</span></div><div class='xr-array-data'><pre>array(1149.42770137)</pre></div></div></li><li class='xr-section-item'><input id='section-59b0fc5c-bfb3-41a3-be6d-2318d59c0ada' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59b0fc5c-bfb3-41a3-be6d-2318d59c0ada' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b8a7f7e3-5a57-499b-97da-706972fd9def' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b8a7f7e3-5a57-499b-97da-706972fd9def' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b412e1aa-f63b-4161-80fc-144984a7928c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b412e1aa-f63b-4161-80fc-144984a7928c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(1013.95471061)"
+       "array(1149.42770137)"
       ]
      },
-     "execution_count": 97,
+     "execution_count": 216,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4884,7 +4404,147 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 217,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>          <td>re78</td>       <th>  R-squared:         </th> <td>   0.002</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>  -0.000</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>  0.9338</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Tue, 08 Jul 2025</td> <th>  Prob (F-statistic):</th>  <td> 0.334</td>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>22:01:26</td>     <th>  Log-Likelihood:    </th> <td> -6346.4</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.270e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>   612</td>      <th>  BIC:               </th> <td>1.271e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th> <td> 6984.1697</td> <td>  360.710</td> <td>   19.362</td> <td> 0.000</td> <td> 6275.791</td> <td> 7692.549</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>treat</th>     <td> -635.0262</td> <td>  657.137</td> <td>   -0.966</td> <td> 0.334</td> <td>-1925.544</td> <td>  655.492</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>209.619</td> <th>  Durbin-Watson:     </th> <td>   1.809</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 775.567</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td> 1.567</td>  <th>  Prob(JB):          </th> <td>3.87e-169</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 7.527</td>  <th>  Cond. No.          </th> <td>    2.42</td> \n",
+       "</tr>\n",
+       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+      ],
+      "text/latex": [
+       "\\begin{center}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\toprule\n",
+       "\\textbf{Dep. Variable:}    &       re78       & \\textbf{  R-squared:         } &     0.002   \\\\\n",
+       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &    -0.000   \\\\\n",
+       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &    0.9338   \\\\\n",
+       "\\textbf{Date:}             & Tue, 08 Jul 2025 & \\textbf{  Prob (F-statistic):} &    0.334    \\\\\n",
+       "\\textbf{Time:}             &     22:01:26     & \\textbf{  Log-Likelihood:    } &   -6346.4   \\\\\n",
+       "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.270e+04   \\\\\n",
+       "\\textbf{Df Residuals:}     &         612      & \\textbf{  BIC:               } & 1.271e+04   \\\\\n",
+       "\\textbf{Df Model:}         &           1      & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lcccccc}\n",
+       "                   & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
+       "\\midrule\n",
+       "\\textbf{Intercept} &    6984.1697  &      360.710     &    19.362  &         0.000        &     6275.791    &     7692.549     \\\\\n",
+       "\\textbf{treat}     &    -635.0262  &      657.137     &    -0.966  &         0.334        &    -1925.544    &      655.492     \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\textbf{Omnibus:}       & 209.619 & \\textbf{  Durbin-Watson:     } &     1.809  \\\\\n",
+       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &   775.567  \\\\\n",
+       "\\textbf{Skew:}          &   1.567 & \\textbf{  Prob(JB):          } & 3.87e-169  \\\\\n",
+       "\\textbf{Kurtosis:}      &   7.527 & \\textbf{  Cond. No.          } &      2.42  \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "%\\caption{OLS Regression Results}\n",
+       "\\end{center}\n",
+       "\n",
+       "Notes: \\newline\n",
+       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:                   re78   R-squared:                       0.002\n",
+       "Model:                            OLS   Adj. R-squared:                 -0.000\n",
+       "Method:                 Least Squares   F-statistic:                    0.9338\n",
+       "Date:                Tue, 08 Jul 2025   Prob (F-statistic):              0.334\n",
+       "Time:                        22:01:26   Log-Likelihood:                -6346.4\n",
+       "No. Observations:                 614   AIC:                         1.270e+04\n",
+       "Df Residuals:                     612   BIC:                         1.271e+04\n",
+       "Df Model:                           1                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "==============================================================================\n",
+       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "------------------------------------------------------------------------------\n",
+       "Intercept   6984.1697    360.710     19.362      0.000    6275.791    7692.549\n",
+       "treat       -635.0262    657.137     -0.966      0.334   -1925.544     655.492\n",
+       "==============================================================================\n",
+       "Omnibus:                      209.619   Durbin-Watson:                   1.809\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              775.567\n",
+       "Skew:                           1.567   Prob(JB):                    3.87e-169\n",
+       "Kurtosis:                       7.527   Cond. No.                         2.42\n",
+       "==============================================================================\n",
+       "\n",
+       "Notes:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 217,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "res = smf.ols(\"re78 ~ treat \", lalonde).fit()\n",
+    "res.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 218,
    "metadata": {},
    "outputs": [
     {
@@ -4905,7 +4565,7 @@
        "  <th>Date:</th>             <td>Tue, 08 Jul 2025</td> <th>  Prob (F-statistic):</th> <td>1.59e-07</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Time:</th>                 <td>18:47:40</td>     <th>  Log-Likelihood:    </th> <td> -6324.3</td> \n",
+       "  <th>Time:</th>                 <td>22:01:32</td>     <th>  Log-Likelihood:    </th> <td> -6324.3</td> \n",
        "</tr>\n",
        "<tr>\n",
        "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.266e+04</td>\n",
@@ -4972,7 +4632,7 @@
        "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.060   \\\\\n",
        "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     6.594   \\\\\n",
        "\\textbf{Date:}             & Tue, 08 Jul 2025 & \\textbf{  Prob (F-statistic):} &  1.59e-07   \\\\\n",
-       "\\textbf{Time:}             &     18:47:40     & \\textbf{  Log-Likelihood:    } &   -6324.3   \\\\\n",
+       "\\textbf{Time:}             &     22:01:32     & \\textbf{  Log-Likelihood:    } &   -6324.3   \\\\\n",
        "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.266e+04   \\\\\n",
        "\\textbf{Df Residuals:}     &         606      & \\textbf{  BIC:               } & 1.270e+04   \\\\\n",
        "\\textbf{Df Model:}         &           7      & \\textbf{                     } &             \\\\\n",
@@ -5014,7 +4674,7 @@
        "Model:                            OLS   Adj. R-squared:                  0.060\n",
        "Method:                 Least Squares   F-statistic:                     6.594\n",
        "Date:                Tue, 08 Jul 2025   Prob (F-statistic):           1.59e-07\n",
-       "Time:                        18:47:40   Log-Likelihood:                -6324.3\n",
+       "Time:                        22:01:32   Log-Likelihood:                -6324.3\n",
        "No. Observations:                 614   AIC:                         1.266e+04\n",
        "Df Residuals:                     606   BIC:                         1.270e+04\n",
        "Df Model:                           7                                         \n",
@@ -5042,7 +4702,7 @@
        "\"\"\""
       ]
      },
-     "execution_count": 98,
+     "execution_count": 218,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5058,7 +4718,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 257,
+   "execution_count": 219,
    "metadata": {},
    "outputs": [
     {
@@ -5149,7 +4809,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 257,
+     "execution_count": 219,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5161,7 +4821,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 258,
+   "execution_count": 221,
    "metadata": {},
    "outputs": [
     {
@@ -5177,45 +4837,101 @@
       "text/latex": [
        "$$\n",
        "            \\begin{array}{rcl}\n",
-       "            \\text{beta\\_trt\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_ps} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_trt} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_outcome} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{sigma} &\\sim & \\operatorname{Exponential}(f())\\\\\\text{p} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_},~\\text{alpha\\_trt}))\\\\\\text{spline\\_features} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_ps}))\\\\\\text{t\\_pred} &\\sim & \\operatorname{Bernoulli}(\\text{p})\\\\\\text{like} &\\sim & \\operatorname{Normal}(f(\\text{beta\\_},~\\text{alpha\\_outcome},~\\text{beta\\_ps},~\\text{beta\\_trt\\_},~\\text{alpha\\_trt}),~\\text{sigma})\n",
+       "            \\text{beta\\_trt\\_std} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_std} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_ps\\_spline} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_ps} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_trt} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_outcome} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{sigma} &\\sim & \\operatorname{HalfNormal}(0,~1)\\\\\\text{beta\\_trt\\_} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_std}))\\\\\\text{beta\\_} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_std}))\\\\\\text{p} &\\sim & \\operatorname{Deterministic}(f(\\text{alpha\\_trt},~\\text{beta\\_trt\\_std}))\\\\\\text{spline\\_features} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_ps\\_spline}))\\\\\\text{t\\_pred} &\\sim & \\operatorname{Bernoulli}(\\text{p})\\\\\\text{like} &\\sim & \\operatorname{Normal}(f(\\text{beta\\_ps},~\\text{alpha\\_outcome},~\\text{beta\\_ps\\_spline},~\\text{alpha\\_trt},~\\text{beta\\_std},~\\text{beta\\_trt\\_std}),~\\text{sigma})\n",
        "            \\end{array}\n",
        "            $$"
       ],
       "text/plain": [
-       "      beta_trt_ ~ Normal(0, 1)\n",
-       "          beta_ ~ Normal(0, 1)\n",
+       "   beta_trt_std ~ Normal(0, 1)\n",
+       "       beta_std ~ Normal(0, 1)\n",
+       " beta_ps_spline ~ Normal(0, 1)\n",
        "        beta_ps ~ Normal(0, 1)\n",
        "      alpha_trt ~ Normal(0, 1)\n",
        "  alpha_outcome ~ Normal(0, 1)\n",
-       "          sigma ~ Exponential(f())\n",
-       "              p ~ Deterministic(f(beta_trt_, alpha_trt))\n",
-       "spline_features ~ Deterministic(f(beta_ps))\n",
+       "          sigma ~ HalfNormal(0, 1)\n",
+       "      beta_trt_ ~ Deterministic(f(beta_trt_std))\n",
+       "          beta_ ~ Deterministic(f(beta_std))\n",
+       "              p ~ Deterministic(f(alpha_trt, beta_trt_std))\n",
+       "spline_features ~ Deterministic(f(beta_ps_spline))\n",
        "         t_pred ~ Bernoulli(p)\n",
-       "           like ~ Normal(f(beta_, alpha_outcome, beta_ps, beta_trt_, alpha_trt), sigma)"
+       "           like ~ Normal(f(beta_ps, alpha_outcome, beta_ps_spline, alpha_trt, beta_std, beta_trt_std), sigma)"
       ]
      },
-     "execution_count": 258,
+     "execution_count": 221,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "coords = {\n",
-    "    \"betas\": [\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"],\n",
+    "    \"betas\": [\n",
+    "        \"trt\",\n",
+    "        \"age\",\n",
+    "        \"smokeintensity\",\n",
+    "        \"smokeyrs\",\n",
+    "        \"wt71\",\n",
+    "        \"active_1\",\n",
+    "        \"active_2\",\n",
+    "        \"education_2\",\n",
+    "        \"education_3\",\n",
+    "        \"education_4\",\n",
+    "        \"education_5\",\n",
+    "        \"exercise_1\",\n",
+    "        \"exercise_2\",\n",
+    "    ],\n",
     "    \"betas_trt\": [\n",
     "        \"age\",\n",
     "        \"smokeintensity\",\n",
     "        \"smokeyrs\",\n",
     "        \"wt71\",\n",
+    "        \"active_1\",\n",
+    "        \"active_2\",\n",
+    "        \"education_2\",\n",
+    "        \"education_3\",\n",
+    "        \"education_4\",\n",
+    "        \"education_5\",\n",
+    "        \"exercise_1\",\n",
+    "        \"exercise_2\",\n",
     "    ],\n",
     "    \"obs\": range(df.shape[0]),\n",
     "}\n",
     "\n",
     "N = df.shape[0]\n",
-    "X_trt = df[[\"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"]]\n",
-    "X_trt = X_trt - X_trt.mean()\n",
-    "X_outcome = df[[\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"]]\n",
-    "X_outcome = X_outcome - X_outcome.mean()\n",
+    "X_trt = df[\n",
+    "    [\n",
+    "        \"age\",\n",
+    "        \"smokeintensity\",\n",
+    "        \"smokeyrs\",\n",
+    "        \"wt71\",\n",
+    "        \"active_1\",\n",
+    "        \"active_2\",\n",
+    "        \"education_2\",\n",
+    "        \"education_3\",\n",
+    "        \"education_4\",\n",
+    "        \"education_5\",\n",
+    "        \"exercise_1\",\n",
+    "        \"exercise_2\",\n",
+    "    ]\n",
+    "]\n",
+    "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
+    "X_outcome = df[\n",
+    "    [\n",
+    "        \"trt\",\n",
+    "        \"age\",\n",
+    "        \"smokeintensity\",\n",
+    "        \"smokeyrs\",\n",
+    "        \"wt71\",\n",
+    "        \"active_1\",\n",
+    "        \"active_2\",\n",
+    "        \"education_2\",\n",
+    "        \"education_3\",\n",
+    "        \"education_4\",\n",
+    "        \"education_5\",\n",
+    "        \"exercise_1\",\n",
+    "        \"exercise_2\",\n",
+    "    ]\n",
+    "]\n",
+    "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
     "T_data = df[\"trt\"].values\n",
     "X_outcome[\"trt\"] = T_data\n",
     "Y_data = df[\"outcome\"].values\n",
@@ -5226,7 +4942,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 259,
+   "execution_count": 222,
    "metadata": {},
    "outputs": [
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-       "<title>clusterbetas_trt (4)</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M98,-353.13C98,-353.13 180,-353.13 180,-353.13 186,-353.13 192,-359.13 192,-365.13 192,-365.13 192,-462.95 192,-462.95 192,-468.95 186,-474.95 180,-474.95 180,-474.95 98,-474.95 98,-474.95 92,-474.95 86,-468.95 86,-462.95 86,-462.95 86,-365.13 86,-365.13 86,-359.13 92,-353.13 98,-353.13\"/>\n",
-       "<text text-anchor=\"middle\" x=\"151\" y=\"-360.33\" font-family=\"Times,serif\" font-size=\"14.00\">betas_trt (4)</text>\n",
+       "<title>clusterbetas_trt (12)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M98,-352.54C98,-352.54 202,-352.54 202,-352.54 208,-352.54 214,-358.54 214,-364.54 214,-364.54 214,-567.77 214,-567.77 214,-573.77 208,-579.77 202,-579.77 202,-579.77 98,-579.77 98,-579.77 92,-579.77 86,-573.77 86,-567.77 86,-567.77 86,-364.54 86,-364.54 86,-358.54 92,-352.54 98,-352.54\"/>\n",
+       "<text text-anchor=\"middle\" x=\"169.62\" y=\"-359.74\" font-family=\"Times,serif\" font-size=\"14.00\">betas_trt (12)</text>\n",
        "</g>\n",
        "<g id=\"clust5\" class=\"cluster\">\n",
-       "<title>clusterbetas (5)</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M431,-223.32C431,-223.32 505,-223.32 505,-223.32 511,-223.32 517,-229.32 517,-235.32 517,-235.32 517,-333.13 517,-333.13 517,-339.13 511,-345.13 505,-345.13 505,-345.13 431,-345.13 431,-345.13 425,-345.13 419,-339.13 419,-333.13 419,-333.13 419,-235.32 419,-235.32 419,-229.32 425,-223.32 431,-223.32\"/>\n",
-       "<text text-anchor=\"middle\" x=\"485.38\" y=\"-230.52\" font-family=\"Times,serif\" font-size=\"14.00\">betas (5)</text>\n",
+       "<title>clusterbetas (13)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M494,-230.73C494,-230.73 576,-230.73 576,-230.73 582,-230.73 588,-236.73 588,-242.73 588,-242.73 588,-450.45 588,-450.45 588,-456.45 582,-462.45 576,-462.45 576,-462.45 494,-462.45 494,-462.45 488,-462.45 482,-456.45 482,-450.45 482,-450.45 482,-242.73 482,-242.73 482,-236.73 488,-230.73 494,-230.73\"/>\n",
+       "<text text-anchor=\"middle\" x=\"553\" y=\"-237.93\" font-family=\"Times,serif\" font-size=\"14.00\">betas (13)</text>\n",
        "</g>\n",
        "<g id=\"clust6\" class=\"cluster\">\n",
-       "<title>cluster14</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M213,-353.13C213,-353.13 287,-353.13 287,-353.13 293,-353.13 299,-359.13 299,-365.13 299,-365.13 299,-462.95 299,-462.95 299,-468.95 293,-474.95 287,-474.95 287,-474.95 213,-474.95 213,-474.95 207,-474.95 201,-468.95 201,-462.95 201,-462.95 201,-365.13 201,-365.13 201,-359.13 207,-353.13 213,-353.13\"/>\n",
-       "<text text-anchor=\"middle\" x=\"284.25\" y=\"-360.33\" font-family=\"Times,serif\" font-size=\"14.00\">14</text>\n",
+       "<title>cluster34</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M234,-340.63C234,-340.63 362,-340.63 362,-340.63 368,-340.63 374,-346.63 374,-352.63 374,-352.63 374,-450.45 374,-450.45 374,-456.45 368,-462.45 362,-462.45 362,-462.45 234,-462.45 234,-462.45 228,-462.45 222,-456.45 222,-450.45 222,-450.45 222,-352.63 222,-352.63 222,-346.63 228,-340.63 234,-340.63\"/>\n",
+       "<text text-anchor=\"middle\" x=\"359.25\" y=\"-347.83\" font-family=\"Times,serif\" font-size=\"14.00\">34</text>\n",
        "</g>\n",
        "<!-- X -->\n",
        "<g id=\"node1\" class=\"node\">\n",
        "<title>X</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M58,-455.04C58,-455.04 28,-455.04 28,-455.04 22,-455.04 16,-449.04 16,-443.04 16,-443.04 16,-409.54 16,-409.54 16,-403.54 22,-397.54 28,-397.54 28,-397.54 58,-397.54 58,-397.54 64,-397.54 70,-403.54 70,-409.54 70,-409.54 70,-443.04 70,-443.04 70,-449.04 64,-455.04 58,-455.04\"/>\n",
-       "<text text-anchor=\"middle\" x=\"43\" y=\"-437.74\" font-family=\"Times,serif\" font-size=\"14.00\">X</text>\n",
-       "<text text-anchor=\"middle\" x=\"43\" y=\"-421.24\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"43\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M58,-442.54C58,-442.54 28,-442.54 28,-442.54 22,-442.54 16,-436.54 16,-430.54 16,-430.54 16,-397.04 16,-397.04 16,-391.04 22,-385.04 28,-385.04 28,-385.04 58,-385.04 58,-385.04 64,-385.04 70,-391.04 70,-397.04 70,-397.04 70,-430.54 70,-430.54 70,-436.54 64,-442.54 58,-442.54\"/>\n",
+       "<text text-anchor=\"middle\" x=\"43\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">X</text>\n",
+       "<text text-anchor=\"middle\" x=\"43\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"43\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node7\" class=\"node\">\n",
        "<title>p</title>\n",
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-       "<text text-anchor=\"middle\" x=\"138\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"138\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "<polygon fill=\"none\" stroke=\"black\" points=\"246.12,-320.73 155.88,-320.73 155.88,-263.23 246.12,-263.23 246.12,-320.73\"/>\n",
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+       "<text text-anchor=\"middle\" x=\"201\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"201\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M55.84,-397.08C62.71,-383.25 71.85,-366.71 82,-353.13 86.97,-346.49 92.71,-339.88 98.59,-333.66\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"101.08,-336.12 105.58,-326.53 96.08,-331.22 101.08,-336.12\"/>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M52.75,-384.75C59.1,-369.96 68.71,-352.48 82,-340.63 99.69,-324.86 123.26,-313.96 144.75,-306.61\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"145.54,-310.04 153.99,-303.65 143.4,-303.37 145.54,-310.04\"/>\n",
        "</g>\n",
        "<!-- X_outcome -->\n",
        "<g id=\"node2\" class=\"node\">\n",
        "<title>X_outcome</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M390.88,-325.23C390.88,-325.23 335.12,-325.23 335.12,-325.23 329.12,-325.23 323.12,-319.23 323.12,-313.23 323.12,-313.23 323.12,-279.73 323.12,-279.73 323.12,-273.73 329.12,-267.73 335.12,-267.73 335.12,-267.73 390.88,-267.73 390.88,-267.73 396.88,-267.73 402.88,-273.73 402.88,-279.73 402.88,-279.73 402.88,-313.23 402.88,-313.23 402.88,-319.23 396.88,-325.23 390.88,-325.23\"/>\n",
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-       "<text text-anchor=\"middle\" x=\"363\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
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+       "<text text-anchor=\"middle\" x=\"426\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">X_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"426\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"426\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node8\" class=\"node\">\n",
+       "<g id=\"node5\" class=\"node\">\n",
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-       "<text text-anchor=\"middle\" x=\"258\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"321\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"321\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
+       "<text text-anchor=\"middle\" x=\"321\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"321\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
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        "<!-- X_outcome&#45;&gt;like -->\n",
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        "<title>X_outcome&#45;&gt;like</title>\n",
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        "</g>\n",
-       "<!-- T -->\n",
+       "<!-- Y -->\n",
        "<g id=\"node3\" class=\"node\">\n",
-       "<title>T</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M155,-98C155,-98 125,-98 125,-98 119,-98 113,-92 113,-86 113,-86 113,-52.5 113,-52.5 113,-46.5 119,-40.5 125,-40.5 125,-40.5 155,-40.5 155,-40.5 161,-40.5 167,-46.5 167,-52.5 167,-52.5 167,-86 167,-86 167,-92 161,-98 155,-98\"/>\n",
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-       "<text text-anchor=\"middle\" x=\"140\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<title>Y</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M336,-98C336,-98 306,-98 306,-98 300,-98 294,-92 294,-86 294,-86 294,-52.5 294,-52.5 294,-46.5 300,-40.5 306,-40.5 306,-40.5 336,-40.5 336,-40.5 342,-40.5 348,-46.5 348,-52.5 348,-52.5 348,-86 348,-86 348,-92 342,-98 336,-98\"/>\n",
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+       "<text text-anchor=\"middle\" x=\"321\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- t_pred -->\n",
-       "<g id=\"node6\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
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-       "<text text-anchor=\"middle\" x=\"140\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"203\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
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+       "<text text-anchor=\"middle\" x=\"203\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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-       "<!-- p&#45;&gt;t_pred -->\n",
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-       "<title>p&#45;&gt;t_pred</title>\n",
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-       "<text text-anchor=\"middle\" x=\"258\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<!-- T -->\n",
+       "<g id=\"node8\" class=\"node\">\n",
+       "<title>T</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M218,-98C218,-98 188,-98 188,-98 182,-98 176,-92 176,-86 176,-86 176,-52.5 176,-52.5 176,-46.5 182,-40.5 188,-40.5 188,-40.5 218,-40.5 218,-40.5 224,-40.5 230,-46.5 230,-52.5 230,-52.5 230,-86 230,-86 230,-92 224,-98 218,-98\"/>\n",
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+       "<text text-anchor=\"middle\" x=\"203\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- t_pred&#45;&gt;T -->\n",
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+       "</g>\n",
+       "<!-- like&#45;&gt;Y -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>like&#45;&gt;Y</title>\n",
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        "<!-- spline_features -->\n",
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+       "<text text-anchor=\"middle\" x=\"313\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- spline_features&#45;&gt;like -->\n",
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+       "<!-- p&#45;&gt;t_pred -->\n",
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+       "<title>p&#45;&gt;t_pred</title>\n",
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        "<!-- beta_trt_&#45;&gt;p -->\n",
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-       "<!-- beta_ -->\n",
+       "<!-- beta_trt_std -->\n",
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+       "<text text-anchor=\"middle\" x=\"150\" y=\"-509.56\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_trt_std&#45;&gt;beta_trt_ -->\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
+       "<title>beta_trt_std&#45;&gt;beta_trt_</title>\n",
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        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
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-       "<!-- beta_ps -->\n",
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+       "<!-- beta_std -->\n",
+       "<g id=\"node12\" class=\"node\">\n",
+       "<title>beta_std</title>\n",
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-       "<g id=\"node12\" class=\"node\">\n",
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+       "<!-- beta_ps_spline -->\n",
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+       "<title>beta_ps_spline</title>\n",
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        "<!-- sigma -->\n",
-       "<g id=\"node13\" class=\"node\">\n",
+       "<g id=\"node14\" class=\"node\">\n",
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+       "<!-- beta_ps -->\n",
+       "<g id=\"node15\" class=\"node\">\n",
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        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge3\" class=\"edge\">\n",
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       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x308770940>"
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-     "execution_count": 259,
+     "execution_count": 222,
      "metadata": {},
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@@ -5480,20 +5238,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 260,
+   "execution_count": 223,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [alpha_outcome, alpha_trt, beta_, beta_ps, beta_trt_, like, sigma, t_pred]\n"
+      "Sampling: [alpha_outcome, alpha_trt, beta_ps, beta_ps_spline, beta_std, beta_trt_std, like, sigma, t_pred]\n"
      ]
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@@ -5507,7 +5265,7 @@
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@@ -5521,7 +5279,7 @@
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@@ -5535,7 +5293,7 @@
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@@ -5555,7 +5313,7 @@
   },
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-   "execution_count": 261,
+   "execution_count": 224,
    "metadata": {},
    "outputs": [
     {
@@ -5593,302 +5351,338 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.098</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>-1.208</td>\n",
-       "      <td>-0.991</td>\n",
+       "      <td>-1.119</td>\n",
+       "      <td>0.060</td>\n",
+       "      <td>-1.229</td>\n",
+       "      <td>-1.003</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>4873.0</td>\n",
-       "      <td>2928.0</td>\n",
+       "      <td>4882.0</td>\n",
+       "      <td>3067.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[age]</th>\n",
-       "      <td>0.041</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>0.023</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>2778.0</td>\n",
-       "      <td>2858.0</td>\n",
+       "      <td>0.465</td>\n",
+       "      <td>0.115</td>\n",
+       "      <td>0.246</td>\n",
+       "      <td>0.669</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2590.0</td>\n",
+       "      <td>2592.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[smokeintensity]</th>\n",
-       "      <td>-0.018</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>-0.028</td>\n",
-       "      <td>-0.008</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>6634.0</td>\n",
-       "      <td>3058.0</td>\n",
+       "      <td>-0.219</td>\n",
+       "      <td>0.065</td>\n",
+       "      <td>-0.344</td>\n",
+       "      <td>-0.101</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4568.0</td>\n",
+       "      <td>3134.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[smokeyrs]</th>\n",
-       "      <td>-0.021</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>-0.037</td>\n",
-       "      <td>-0.003</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>2763.0</td>\n",
-       "      <td>3057.0</td>\n",
+       "      <td>-0.205</td>\n",
+       "      <td>0.113</td>\n",
+       "      <td>-0.419</td>\n",
+       "      <td>-0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2371.0</td>\n",
+       "      <td>2522.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_trt_[wt71]</th>\n",
-       "      <td>0.011</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>6050.0</td>\n",
-       "      <td>3082.0</td>\n",
+       "      <td>0.155</td>\n",
+       "      <td>0.059</td>\n",
+       "      <td>0.043</td>\n",
+       "      <td>0.265</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4374.0</td>\n",
+       "      <td>3482.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>1.815</td>\n",
-       "      <td>0.223</td>\n",
-       "      <td>1.418</td>\n",
-       "      <td>2.242</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>3612.0</td>\n",
-       "      <td>3115.0</td>\n",
+       "      <th>beta_trt_[active_1]</th>\n",
+       "      <td>-0.006</td>\n",
+       "      <td>0.063</td>\n",
+       "      <td>-0.120</td>\n",
+       "      <td>0.112</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3675.0</td>\n",
+       "      <td>3079.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[trt]</th>\n",
-       "      <td>2.942</td>\n",
-       "      <td>0.388</td>\n",
-       "      <td>2.226</td>\n",
-       "      <td>3.703</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>4552.0</td>\n",
-       "      <td>3427.0</td>\n",
+       "      <th>beta_trt_[active_2]</th>\n",
+       "      <td>0.045</td>\n",
+       "      <td>0.062</td>\n",
+       "      <td>-0.072</td>\n",
+       "      <td>0.160</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3916.0</td>\n",
+       "      <td>3241.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[age]</th>\n",
-       "      <td>-0.224</td>\n",
-       "      <td>0.032</td>\n",
-       "      <td>-0.284</td>\n",
-       "      <td>-0.166</td>\n",
+       "      <th>beta_trt_[education_2]</th>\n",
+       "      <td>-0.051</td>\n",
+       "      <td>0.078</td>\n",
+       "      <td>-0.200</td>\n",
+       "      <td>0.095</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>2758.0</td>\n",
-       "      <td>2771.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2909.0</td>\n",
+       "      <td>3004.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.026</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>-0.004</td>\n",
-       "      <td>0.059</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>4815.0</td>\n",
-       "      <td>3054.0</td>\n",
+       "      <th>beta_trt_[education_3]</th>\n",
+       "      <td>0.040</td>\n",
+       "      <td>0.084</td>\n",
+       "      <td>-0.123</td>\n",
+       "      <td>0.190</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2528.0</td>\n",
+       "      <td>2889.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.075</td>\n",
-       "      <td>0.031</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>0.131</td>\n",
+       "      <th>beta_trt_[education_4]</th>\n",
+       "      <td>0.038</td>\n",
+       "      <td>0.071</td>\n",
+       "      <td>-0.094</td>\n",
+       "      <td>0.177</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>2795.0</td>\n",
-       "      <td>2864.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2978.0</td>\n",
+       "      <td>2914.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[wt71]</th>\n",
-       "      <td>-0.082</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>-0.103</td>\n",
-       "      <td>-0.057</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>5963.0</td>\n",
-       "      <td>3152.0</td>\n",
+       "      <th>beta_trt_[education_5]</th>\n",
+       "      <td>0.184</td>\n",
+       "      <td>0.070</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>0.320</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2685.0</td>\n",
+       "      <td>2424.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.011</td>\n",
-       "      <td>0.984</td>\n",
-       "      <td>-1.869</td>\n",
-       "      <td>1.800</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>5886.0</td>\n",
-       "      <td>2309.0</td>\n",
+       "      <th>beta_trt_[exercise_1]</th>\n",
+       "      <td>0.137</td>\n",
+       "      <td>0.088</td>\n",
+       "      <td>-0.033</td>\n",
+       "      <td>0.298</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2718.0</td>\n",
+       "      <td>2960.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>0.105</td>\n",
-       "      <td>0.982</td>\n",
-       "      <td>-1.776</td>\n",
-       "      <td>1.909</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>5987.0</td>\n",
-       "      <td>3071.0</td>\n",
+       "      <th>beta_trt_[exercise_2]</th>\n",
+       "      <td>0.115</td>\n",
+       "      <td>0.090</td>\n",
+       "      <td>-0.052</td>\n",
+       "      <td>0.280</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2717.0</td>\n",
+       "      <td>2851.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[2]</th>\n",
-       "      <td>-0.170</td>\n",
-       "      <td>0.979</td>\n",
-       "      <td>-1.963</td>\n",
-       "      <td>1.688</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>6341.0</td>\n",
-       "      <td>3190.0</td>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>1.822</td>\n",
+       "      <td>0.316</td>\n",
+       "      <td>1.189</td>\n",
+       "      <td>2.384</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>2583.0</td>\n",
+       "      <td>2606.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[3]</th>\n",
-       "      <td>-0.340</td>\n",
-       "      <td>0.969</td>\n",
-       "      <td>-2.123</td>\n",
-       "      <td>1.543</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>4910.0</td>\n",
-       "      <td>2734.0</td>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>2.951</td>\n",
+       "      <td>0.404</td>\n",
+       "      <td>2.215</td>\n",
+       "      <td>3.726</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>4771.0</td>\n",
+       "      <td>3199.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[4]</th>\n",
-       "      <td>0.251</td>\n",
-       "      <td>0.981</td>\n",
-       "      <td>-1.519</td>\n",
-       "      <td>2.197</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>5475.0</td>\n",
-       "      <td>2944.0</td>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>-2.241</td>\n",
+       "      <td>0.356</td>\n",
+       "      <td>-2.919</td>\n",
+       "      <td>-1.588</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>2615.0</td>\n",
+       "      <td>2735.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[5]</th>\n",
-       "      <td>0.157</td>\n",
-       "      <td>0.964</td>\n",
-       "      <td>-1.591</td>\n",
-       "      <td>1.999</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>6154.0</td>\n",
-       "      <td>2682.0</td>\n",
+       "      <th>beta_[smokeintensity]</th>\n",
+       "      <td>0.313</td>\n",
+       "      <td>0.188</td>\n",
+       "      <td>-0.008</td>\n",
+       "      <td>0.688</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4294.0</td>\n",
+       "      <td>2992.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[6]</th>\n",
-       "      <td>0.170</td>\n",
-       "      <td>0.950</td>\n",
-       "      <td>-1.587</td>\n",
-       "      <td>1.970</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>5709.0</td>\n",
-       "      <td>2977.0</td>\n",
+       "      <th>beta_[smokeyrs]</th>\n",
+       "      <td>0.579</td>\n",
+       "      <td>0.350</td>\n",
+       "      <td>-0.074</td>\n",
+       "      <td>1.210</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>2770.0</td>\n",
+       "      <td>2760.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[7]</th>\n",
-       "      <td>-0.360</td>\n",
-       "      <td>0.967</td>\n",
-       "      <td>-2.099</td>\n",
-       "      <td>1.504</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>4782.0</td>\n",
-       "      <td>3264.0</td>\n",
+       "      <th>beta_[wt71]</th>\n",
+       "      <td>-1.179</td>\n",
+       "      <td>0.187</td>\n",
+       "      <td>-1.512</td>\n",
+       "      <td>-0.815</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4724.0</td>\n",
+       "      <td>2984.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[8]</th>\n",
-       "      <td>-0.074</td>\n",
-       "      <td>0.959</td>\n",
-       "      <td>-1.860</td>\n",
-       "      <td>1.736</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>5058.0</td>\n",
-       "      <td>3107.0</td>\n",
+       "      <th>beta_[active_1]</th>\n",
+       "      <td>-0.608</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-0.967</td>\n",
+       "      <td>-0.242</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3840.0</td>\n",
+       "      <td>2949.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[9]</th>\n",
-       "      <td>0.161</td>\n",
-       "      <td>0.964</td>\n",
-       "      <td>-1.750</td>\n",
-       "      <td>1.883</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>6129.0</td>\n",
-       "      <td>2747.0</td>\n",
+       "      <th>beta_[active_2]</th>\n",
+       "      <td>-0.157</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-0.516</td>\n",
+       "      <td>0.215</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4285.0</td>\n",
+       "      <td>2892.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[10]</th>\n",
-       "      <td>0.078</td>\n",
-       "      <td>1.001</td>\n",
-       "      <td>-1.838</td>\n",
-       "      <td>1.940</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>5648.0</td>\n",
-       "      <td>3030.0</td>\n",
+       "      <th>beta_[education_2]</th>\n",
+       "      <td>0.289</td>\n",
+       "      <td>0.234</td>\n",
+       "      <td>-0.137</td>\n",
+       "      <td>0.731</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>2939.0</td>\n",
+       "      <td>2894.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[11]</th>\n",
-       "      <td>0.142</td>\n",
-       "      <td>0.993</td>\n",
-       "      <td>-1.715</td>\n",
-       "      <td>1.966</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>6450.0</td>\n",
-       "      <td>2824.0</td>\n",
+       "      <th>beta_[education_3]</th>\n",
+       "      <td>0.255</td>\n",
+       "      <td>0.250</td>\n",
+       "      <td>-0.203</td>\n",
+       "      <td>0.734</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>2569.0</td>\n",
+       "      <td>2771.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[12]</th>\n",
-       "      <td>0.060</td>\n",
-       "      <td>0.966</td>\n",
-       "      <td>-1.764</td>\n",
-       "      <td>1.916</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>5347.0</td>\n",
-       "      <td>2900.0</td>\n",
+       "      <th>beta_[education_4]</th>\n",
+       "      <td>0.304</td>\n",
+       "      <td>0.208</td>\n",
+       "      <td>-0.094</td>\n",
+       "      <td>0.681</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3317.0</td>\n",
+       "      <td>3063.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[13]</th>\n",
-       "      <td>0.008</td>\n",
-       "      <td>1.005</td>\n",
-       "      <td>-2.036</td>\n",
-       "      <td>1.811</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.018</td>\n",
-       "      <td>6432.0</td>\n",
-       "      <td>2921.0</td>\n",
+       "      <th>beta_[education_5]</th>\n",
+       "      <td>-0.049</td>\n",
+       "      <td>0.223</td>\n",
+       "      <td>-0.451</td>\n",
+       "      <td>0.392</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3102.0</td>\n",
+       "      <td>2943.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[exercise_1]</th>\n",
+       "      <td>0.107</td>\n",
+       "      <td>0.255</td>\n",
+       "      <td>-0.339</td>\n",
+       "      <td>0.626</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>2956.0</td>\n",
+       "      <td>2834.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[exercise_2]</th>\n",
+       "      <td>0.094</td>\n",
+       "      <td>0.255</td>\n",
+       "      <td>-0.391</td>\n",
+       "      <td>0.565</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3309.0</td>\n",
+       "      <td>3193.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-0.017</td>\n",
+       "      <td>0.958</td>\n",
+       "      <td>-1.768</td>\n",
+       "      <td>1.838</td>\n",
+       "      <td>0.019</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>2587.0</td>\n",
+       "      <td>2876.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -5897,61 +5691,67 @@
       ],
       "text/plain": [
        "                            mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "alpha_trt                 -1.098  0.058  -1.208   -0.991      0.001    0.001   \n",
-       "beta_trt_[age]             0.041  0.009   0.023    0.058      0.000    0.000   \n",
-       "beta_trt_[smokeintensity] -0.018  0.005  -0.028   -0.008      0.000    0.000   \n",
-       "beta_trt_[smokeyrs]       -0.021  0.009  -0.037   -0.003      0.000    0.000   \n",
-       "beta_trt_[wt71]            0.011  0.004   0.003    0.018      0.000    0.000   \n",
-       "alpha_outcome              1.815  0.223   1.418    2.242      0.004    0.003   \n",
-       "beta_[trt]                 2.942  0.388   2.226    3.703      0.006    0.004   \n",
-       "beta_[age]                -0.224  0.032  -0.284   -0.166      0.001    0.000   \n",
-       "beta_[smokeintensity]      0.026  0.017  -0.004    0.059      0.000    0.000   \n",
-       "beta_[smokeyrs]            0.075  0.031   0.015    0.131      0.001    0.000   \n",
-       "beta_[wt71]               -0.082  0.012  -0.103   -0.057      0.000    0.000   \n",
-       "beta_ps[0]                -0.011  0.984  -1.869    1.800      0.013    0.018   \n",
-       "beta_ps[1]                 0.105  0.982  -1.776    1.909      0.013    0.015   \n",
-       "beta_ps[2]                -0.170  0.979  -1.963    1.688      0.012    0.016   \n",
-       "beta_ps[3]                -0.340  0.969  -2.123    1.543      0.014    0.016   \n",
-       "beta_ps[4]                 0.251  0.981  -1.519    2.197      0.013    0.015   \n",
-       "beta_ps[5]                 0.157  0.964  -1.591    1.999      0.012    0.016   \n",
-       "beta_ps[6]                 0.170  0.950  -1.587    1.970      0.013    0.015   \n",
-       "beta_ps[7]                -0.360  0.967  -2.099    1.504      0.014    0.014   \n",
-       "beta_ps[8]                -0.074  0.959  -1.860    1.736      0.013    0.016   \n",
-       "beta_ps[9]                 0.161  0.964  -1.750    1.883      0.012    0.016   \n",
-       "beta_ps[10]                0.078  1.001  -1.838    1.940      0.013    0.017   \n",
-       "beta_ps[11]                0.142  0.993  -1.715    1.966      0.012    0.016   \n",
-       "beta_ps[12]                0.060  0.966  -1.764    1.916      0.013    0.016   \n",
-       "beta_ps[13]                0.008  1.005  -2.036    1.811      0.012    0.018   \n",
+       "alpha_trt                 -1.119  0.060  -1.229   -1.003      0.001    0.001   \n",
+       "beta_trt_[age]             0.465  0.115   0.246    0.669      0.002    0.002   \n",
+       "beta_trt_[smokeintensity] -0.219  0.065  -0.344   -0.101      0.001    0.001   \n",
+       "beta_trt_[smokeyrs]       -0.205  0.113  -0.419   -0.002      0.002    0.002   \n",
+       "beta_trt_[wt71]            0.155  0.059   0.043    0.265      0.001    0.001   \n",
+       "beta_trt_[active_1]       -0.006  0.063  -0.120    0.112      0.001    0.001   \n",
+       "beta_trt_[active_2]        0.045  0.062  -0.072    0.160      0.001    0.001   \n",
+       "beta_trt_[education_2]    -0.051  0.078  -0.200    0.095      0.001    0.001   \n",
+       "beta_trt_[education_3]     0.040  0.084  -0.123    0.190      0.002    0.001   \n",
+       "beta_trt_[education_4]     0.038  0.071  -0.094    0.177      0.001    0.001   \n",
+       "beta_trt_[education_5]     0.184  0.070   0.058    0.320      0.001    0.001   \n",
+       "beta_trt_[exercise_1]      0.137  0.088  -0.033    0.298      0.002    0.001   \n",
+       "beta_trt_[exercise_2]      0.115  0.090  -0.052    0.280      0.002    0.001   \n",
+       "alpha_outcome              1.822  0.316   1.189    2.384      0.006    0.004   \n",
+       "beta_[trt]                 2.951  0.404   2.215    3.726      0.006    0.004   \n",
+       "beta_[age]                -2.241  0.356  -2.919   -1.588      0.007    0.005   \n",
+       "beta_[smokeintensity]      0.313  0.188  -0.008    0.688      0.003    0.002   \n",
+       "beta_[smokeyrs]            0.579  0.350  -0.074    1.210      0.007    0.005   \n",
+       "beta_[wt71]               -1.179  0.187  -1.512   -0.815      0.003    0.002   \n",
+       "beta_[active_1]           -0.608  0.195  -0.967   -0.242      0.003    0.002   \n",
+       "beta_[active_2]           -0.157  0.195  -0.516    0.215      0.003    0.002   \n",
+       "beta_[education_2]         0.289  0.234  -0.137    0.731      0.004    0.003   \n",
+       "beta_[education_3]         0.255  0.250  -0.203    0.734      0.005    0.004   \n",
+       "beta_[education_4]         0.304  0.208  -0.094    0.681      0.004    0.003   \n",
+       "beta_[education_5]        -0.049  0.223  -0.451    0.392      0.004    0.003   \n",
+       "beta_[exercise_1]          0.107  0.255  -0.339    0.626      0.005    0.003   \n",
+       "beta_[exercise_2]          0.094  0.255  -0.391    0.565      0.004    0.003   \n",
+       "beta_ps                   -0.017  0.958  -1.768    1.838      0.019    0.013   \n",
        "\n",
        "                           ess_bulk  ess_tail  r_hat  \n",
-       "alpha_trt                    4873.0    2928.0    1.0  \n",
-       "beta_trt_[age]               2778.0    2858.0    1.0  \n",
-       "beta_trt_[smokeintensity]    6634.0    3058.0    1.0  \n",
-       "beta_trt_[smokeyrs]          2763.0    3057.0    1.0  \n",
-       "beta_trt_[wt71]              6050.0    3082.0    1.0  \n",
-       "alpha_outcome                3612.0    3115.0    1.0  \n",
-       "beta_[trt]                   4552.0    3427.0    1.0  \n",
-       "beta_[age]                   2758.0    2771.0    1.0  \n",
-       "beta_[smokeintensity]        4815.0    3054.0    1.0  \n",
-       "beta_[smokeyrs]              2795.0    2864.0    1.0  \n",
-       "beta_[wt71]                  5963.0    3152.0    1.0  \n",
-       "beta_ps[0]                   5886.0    2309.0    1.0  \n",
-       "beta_ps[1]                   5987.0    3071.0    1.0  \n",
-       "beta_ps[2]                   6341.0    3190.0    1.0  \n",
-       "beta_ps[3]                   4910.0    2734.0    1.0  \n",
-       "beta_ps[4]                   5475.0    2944.0    1.0  \n",
-       "beta_ps[5]                   6154.0    2682.0    1.0  \n",
-       "beta_ps[6]                   5709.0    2977.0    1.0  \n",
-       "beta_ps[7]                   4782.0    3264.0    1.0  \n",
-       "beta_ps[8]                   5058.0    3107.0    1.0  \n",
-       "beta_ps[9]                   6129.0    2747.0    1.0  \n",
-       "beta_ps[10]                  5648.0    3030.0    1.0  \n",
-       "beta_ps[11]                  6450.0    2824.0    1.0  \n",
-       "beta_ps[12]                  5347.0    2900.0    1.0  \n",
-       "beta_ps[13]                  6432.0    2921.0    1.0  "
+       "alpha_trt                    4882.0    3067.0    1.0  \n",
+       "beta_trt_[age]               2590.0    2592.0    1.0  \n",
+       "beta_trt_[smokeintensity]    4568.0    3134.0    1.0  \n",
+       "beta_trt_[smokeyrs]          2371.0    2522.0    1.0  \n",
+       "beta_trt_[wt71]              4374.0    3482.0    1.0  \n",
+       "beta_trt_[active_1]          3675.0    3079.0    1.0  \n",
+       "beta_trt_[active_2]          3916.0    3241.0    1.0  \n",
+       "beta_trt_[education_2]       2909.0    3004.0    1.0  \n",
+       "beta_trt_[education_3]       2528.0    2889.0    1.0  \n",
+       "beta_trt_[education_4]       2978.0    2914.0    1.0  \n",
+       "beta_trt_[education_5]       2685.0    2424.0    1.0  \n",
+       "beta_trt_[exercise_1]        2718.0    2960.0    1.0  \n",
+       "beta_trt_[exercise_2]        2717.0    2851.0    1.0  \n",
+       "alpha_outcome                2583.0    2606.0    1.0  \n",
+       "beta_[trt]                   4771.0    3199.0    1.0  \n",
+       "beta_[age]                   2615.0    2735.0    1.0  \n",
+       "beta_[smokeintensity]        4294.0    2992.0    1.0  \n",
+       "beta_[smokeyrs]              2770.0    2760.0    1.0  \n",
+       "beta_[wt71]                  4724.0    2984.0    1.0  \n",
+       "beta_[active_1]              3840.0    2949.0    1.0  \n",
+       "beta_[active_2]              4285.0    2892.0    1.0  \n",
+       "beta_[education_2]           2939.0    2894.0    1.0  \n",
+       "beta_[education_3]           2569.0    2771.0    1.0  \n",
+       "beta_[education_4]           3317.0    3063.0    1.0  \n",
+       "beta_[education_5]           3102.0    2943.0    1.0  \n",
+       "beta_[exercise_1]            2956.0    2834.0    1.0  \n",
+       "beta_[exercise_2]            3309.0    3193.0    1.0  \n",
+       "beta_ps                      2587.0    2876.0    1.0  "
       ]
      },
-     "execution_count": 261,
+     "execution_count": 224,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5964,12 +5764,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 262,
+   "execution_count": 225,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x1000 with 10 Axes>"
       ]

From e094981cd597f9b754db98d9288e1cdb87c4b7bf Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Wed, 9 Jul 2025 13:40:23 +0100
Subject: [PATCH 07/31] proving feedback issue and corrective

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 10086 +++++++++---------
 1 file changed, 5182 insertions(+), 4904 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 12c46a51..b06a412c 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 371,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10,6 +10,7 @@
     "import numpy as np\n",
     "import pandas as pd\n",
     "import pymc as pm\n",
+    "import statsmodels.formula.api as smf\n",
     "from patsy import dmatrix\n",
     "\n",
     "import causalpy as cp"
@@ -17,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 190,
+   "execution_count": 310,
    "metadata": {},
    "outputs": [
     {
@@ -50,38 +51,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.192527</td>\n",
-       "      <td>1.839369</td>\n",
+       "      <td>2.238452</td>\n",
+       "      <td>2.060227</td>\n",
        "      <td>1</td>\n",
-       "      <td>8.484918</td>\n",
+       "      <td>10.022882</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-0.362518</td>\n",
-       "      <td>1.137514</td>\n",
-       "      <td>1</td>\n",
-       "      <td>6.664834</td>\n",
+       "      <td>0.739961</td>\n",
+       "      <td>0.926924</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.978688</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1.454742</td>\n",
-       "      <td>1.639615</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.032736</td>\n",
+       "      <td>1.191126</td>\n",
+       "      <td>-0.532201</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4.805062</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-0.353850</td>\n",
-       "      <td>0.437835</td>\n",
+       "      <td>-1.487591</td>\n",
+       "      <td>0.373743</td>\n",
        "      <td>0</td>\n",
-       "      <td>5.337335</td>\n",
+       "      <td>1.449932</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>-2.697615</td>\n",
-       "      <td>-0.194152</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-0.372344</td>\n",
+       "      <td>-0.256297</td>\n",
+       "      <td>1.680710</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9.100173</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -89,14 +90,14 @@
       ],
       "text/plain": [
        "         x1        x2  trt    outcome\n",
-       "0  0.192527  1.839369    1   8.484918\n",
-       "1 -0.362518  1.137514    1   6.664834\n",
-       "2  1.454742  1.639615    1  10.032736\n",
-       "3 -0.353850  0.437835    0   5.337335\n",
-       "4 -2.697615 -0.194152    0  -0.372344"
+       "0  2.238452  2.060227    1  10.022882\n",
+       "1  0.739961  0.926924    0   4.978688\n",
+       "2  1.191126 -0.532201    0   4.805062\n",
+       "3 -1.487591  0.373743    0   1.449932\n",
+       "4 -0.256297  1.680710    1   9.100173"
       ]
      },
-     "execution_count": 190,
+     "execution_count": 310,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -131,7 +132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 311,
    "metadata": {},
    "outputs": [
     {
@@ -421,10 +422,10 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x3299f45e0>"
+       "<graphviz.graphs.Digraph at 0x32351ac50>"
       ]
      },
-     "execution_count": 191,
+     "execution_count": 311,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -532,4417 +533,646 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 192,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: [alpha_outcome, alpha_trt, beta_ps, beta_ps_spline, beta_std, beta_trt_std, like, sigma, t_pred]\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "42cc147071ab4eb29bf342bfea80e00f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/3000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "de1052cd4c2240638a2a9fe91bcf3cfd",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/3000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bd2822f760ab4cfbb840b482c1764bf5",
-       "version_major": 2,
-       "version_minor": 0
-      },
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-       "  0%|          | 0/3000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2f1dace4a604445f98a8c79a9e86934b",
-       "version_major": 2,
-       "version_minor": 0
-      },
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-       "  0%|          | 0/3000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "with model:\n",
-    "    idata = pm.sample_prior_predictive()\n",
-    "    idata.extend(pm.sample(tune=2000, target_accept=0.95, nuts_sampler=\"numpyro\"))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 193,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>alpha_trt</th>\n",
-       "      <td>-0.670</td>\n",
-       "      <td>0.118</td>\n",
-       "      <td>-0.905</td>\n",
-       "      <td>-0.458</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>4153.0</td>\n",
-       "      <td>2832.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[x1]</th>\n",
-       "      <td>0.431</td>\n",
-       "      <td>0.078</td>\n",
-       "      <td>0.294</td>\n",
-       "      <td>0.589</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>5725.0</td>\n",
-       "      <td>3335.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[x2]</th>\n",
-       "      <td>0.986</td>\n",
-       "      <td>0.120</td>\n",
-       "      <td>0.758</td>\n",
-       "      <td>1.206</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>3313.0</td>\n",
-       "      <td>2837.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>3.706</td>\n",
-       "      <td>0.193</td>\n",
-       "      <td>3.373</td>\n",
-       "      <td>4.105</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>1594.0</td>\n",
-       "      <td>2353.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[trt]</th>\n",
-       "      <td>1.965</td>\n",
-       "      <td>0.079</td>\n",
-       "      <td>1.819</td>\n",
-       "      <td>2.113</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>6612.0</td>\n",
-       "      <td>3216.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[x1]</th>\n",
-       "      <td>0.957</td>\n",
-       "      <td>0.049</td>\n",
-       "      <td>0.858</td>\n",
-       "      <td>1.045</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2564.0</td>\n",
-       "      <td>2855.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[x2]</th>\n",
-       "      <td>0.870</td>\n",
-       "      <td>0.093</td>\n",
-       "      <td>0.699</td>\n",
-       "      <td>1.053</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2236.0</td>\n",
-       "      <td>2097.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>0.676</td>\n",
-       "      <td>0.505</td>\n",
-       "      <td>-0.273</td>\n",
-       "      <td>1.594</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>1746.0</td>\n",
-       "      <td>2265.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "alpha_trt     -0.670  0.118  -0.905   -0.458      0.002    0.001    4153.0   \n",
-       "beta_trt_[x1]  0.431  0.078   0.294    0.589      0.001    0.001    5725.0   \n",
-       "beta_trt_[x2]  0.986  0.120   0.758    1.206      0.002    0.001    3313.0   \n",
-       "alpha_outcome  3.706  0.193   3.373    4.105      0.005    0.003    1594.0   \n",
-       "beta_[trt]     1.965  0.079   1.819    2.113      0.001    0.001    6612.0   \n",
-       "beta_[x1]      0.957  0.049   0.858    1.045      0.001    0.001    2564.0   \n",
-       "beta_[x2]      0.870  0.093   0.699    1.053      0.002    0.001    2236.0   \n",
-       "beta_ps        0.676  0.505  -0.273    1.594      0.012    0.009    1746.0   \n",
-       "\n",
-       "               ess_tail  r_hat  \n",
-       "alpha_trt        2832.0    1.0  \n",
-       "beta_trt_[x1]    3335.0    1.0  \n",
-       "beta_trt_[x2]    2837.0    1.0  \n",
-       "alpha_outcome    2353.0    1.0  \n",
-       "beta_[trt]       3216.0    1.0  \n",
-       "beta_[x1]        2855.0    1.0  \n",
-       "beta_[x2]        2097.0    1.0  \n",
-       "beta_ps          2265.0    1.0  "
-      ]
-     },
-     "execution_count": 193,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "az.summary(\n",
-    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 194,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "X_outcome_trt = X_outcome.copy()\n",
-    "X_outcome_trt[:, 0] = 1\n",
-    "\n",
-    "X_outcome_ntrt = X_outcome.copy()\n",
-    "X_outcome_ntrt[:, 0] = 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 195,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [like]\n"
-     ]
-    },
-    {
-     "data": {
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-      "text/plain": [
-       "Output()"
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-     "data": {
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-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: [like]\n"
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n"
      ]
     },
     {
      "data": {
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-      "text/plain": [
-       "Output()"
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-     "data": {
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-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
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-   ],
-   "source": [
-    "with pm.do(\n",
-    "    model,\n",
-    "    {\"T\": np.ones(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
-    "    prune_vars=True,\n",
-    ") as treatment_model:\n",
-    "    idata_trt = pm.sample_posterior_predictive(idata, var_names=[\"like\", \"p\"])\n",
-    "\n",
-    "with pm.do(\n",
-    "    model,\n",
-    "    {\"T\": np.zeros(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
-    "    prune_vars=True,\n",
-    ") as ntreatment_model:\n",
-    "    idata_ntrt = pm.sample_posterior_predictive(idata, var_names=[\"like\", \"p\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 196,
-   "metadata": {},
-   "outputs": [
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-       "  list-style: none;\n",
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-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
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-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
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-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
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-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
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-       "\n",
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-       "  padding-right: 5px;\n",
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-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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-       "\n",
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-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
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-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
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-       "  width: auto;\n",
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-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
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-       "\n",
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-       "  float: right;\n",
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-       "\n",
-       ".xr-var-name span,\n",
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-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
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-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
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-       "\n",
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-       "  grid-template-columns: 125px auto;\n",
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-       "\n",
-       ".xr-attrs dt,\n",
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-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
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-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
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-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
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-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(7.38106334)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e07968f3-ecbf-41d2-97d3-6fc0826783e0' class='xr-array-in' type='checkbox' checked><label for='section-e07968f3-ecbf-41d2-97d3-6fc0826783e0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.381</span></div><div class='xr-array-data'><pre>array(7.38106334)</pre></div></div></li><li class='xr-section-item'><input id='section-3789f021-7111-43db-99d2-7d62b465ec81' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3789f021-7111-43db-99d2-7d62b465ec81' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-59f8a8b2-ded1-429e-b1f2-a6b5537783ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59f8a8b2-ded1-429e-b1f2-a6b5537783ce' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c401956c-7863-40ee-a43c-f21fef6a7402' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c401956c-7863-40ee-a43c-f21fef6a7402' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(7.38106334)"
-      ]
-     },
-     "execution_count": 196,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "idata_trt[\"posterior_predictive\"][\"like\"].mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 197,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "  display: block;\n",
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-       "\n",
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-       "  float: right;\n",
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-       "}\n",
-       "\n",
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-       ".xr-index-data {\n",
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-       "}\n",
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-       "\n",
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-       "\n",
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-       "  fill: currentColor;\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(5.41605235)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f3ead9b2-8f79-4124-98b9-f465f0729d43' class='xr-array-in' type='checkbox' checked><label for='section-f3ead9b2-8f79-4124-98b9-f465f0729d43' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.416</span></div><div class='xr-array-data'><pre>array(5.41605235)</pre></div></div></li><li class='xr-section-item'><input id='section-11243071-1f2d-4906-a7ff-9e0e5ec1bbf8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11243071-1f2d-4906-a7ff-9e0e5ec1bbf8' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-97dd01ce-f2cf-45c1-82b2-0b6caeefa29c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97dd01ce-f2cf-45c1-82b2-0b6caeefa29c' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-135e8375-256c-4b07-8189-6c8f8667cd35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-135e8375-256c-4b07-8189-6c8f8667cd35' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(5.41605235)"
-      ]
-     },
-     "execution_count": 197,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "idata_ntrt[\"posterior_predictive\"][\"like\"].mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 198,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "\n",
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-       "  float: right;\n",
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-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
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-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
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-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
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-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
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-       "\n",
-       ".xr-attrs dd {\n",
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-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
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-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(1.96501099)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-57a243a9-3fc5-4208-82ad-b23c2240609b' class='xr-array-in' type='checkbox' checked><label for='section-57a243a9-3fc5-4208-82ad-b23c2240609b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.965</span></div><div class='xr-array-data'><pre>array(1.96501099)</pre></div></div></li><li class='xr-section-item'><input id='section-582291bf-8f88-474e-8e8e-d4d5d5e3abe7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-582291bf-8f88-474e-8e8e-d4d5d5e3abe7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f99df214-9a86-4984-a146-db7eb3a07cf4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f99df214-9a86-4984-a146-db7eb3a07cf4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4f594beb-cbb6-4207-8cf7-641c27424705' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f594beb-cbb6-4207-8cf7-641c27424705' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(1.96501099)"
-      ]
-     },
-     "execution_count": 198,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "(\n",
-    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
-    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Nets Example\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 199,
-   "metadata": {},
-   "outputs": [
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-       "      <th></th>\n",
-       "      <th>id</th>\n",
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-       "      <th>malaria_risk</th>\n",
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-       "      <th>1747</th>\n",
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-       "      <td>True</td>\n",
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-       "      <td>18</td>\n",
-       "      <td>961</td>\n",
-       "      <td>27</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "      <td>22.1</td>\n",
-       "      <td>27</td>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
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-       "      <th>1748</th>\n",
-       "      <td>1749</td>\n",
-       "      <td>False</td>\n",
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-       "      <td>49</td>\n",
-       "      <td>906</td>\n",
-       "      <td>49</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "      <td>30.7</td>\n",
-       "      <td>55</td>\n",
-       "      <td>0</td>\n",
-       "      <td>49</td>\n",
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-       "    <tr>\n",
-       "      <th>1749</th>\n",
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-       "      <td>52</td>\n",
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-       "    <tr>\n",
-       "      <th>1750</th>\n",
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-       "      <td>33</td>\n",
-       "      <td>6</td>\n",
-       "      <td>False</td>\n",
-       "      <td>27.4</td>\n",
-       "      <td>62</td>\n",
-       "      <td>0</td>\n",
-       "      <td>46</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1751</th>\n",
-       "      <td>1752</td>\n",
-       "      <td>True</td>\n",
-       "      <td>1</td>\n",
-       "      <td>13</td>\n",
-       "      <td>1339</td>\n",
-       "      <td>77</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "      <td>27.7</td>\n",
-       "      <td>44</td>\n",
-       "      <td>1</td>\n",
-       "      <td>13</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1752 rows × 12 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        id    net  net_num  malaria_risk  income  health  household  eligible  \\\n",
-       "0        1   True        1            33     781      56          2     False   \n",
-       "1        2  False        0            42     974      57          4     False   \n",
-       "2        3  False        0            80     502      15          3     False   \n",
-       "3        4   True        1            34     671      20          5      True   \n",
-       "4        5  False        0            44     728      17          5     False   \n",
-       "...    ...    ...      ...           ...     ...     ...        ...       ...   \n",
-       "1747  1748   True        1            18     961      27          4     False   \n",
-       "1748  1749  False        0            49     906      49          5     False   \n",
-       "1749  1750  False        0            17    1325      92          2     False   \n",
-       "1750  1751  False        0            46     879      33          6     False   \n",
-       "1751  1752   True        1            13    1339      77          4     False   \n",
-       "\n",
-       "      temperature  resistance  trt  outcome  \n",
-       "0            21.1          59    1       33  \n",
-       "1            26.5          73    0       42  \n",
-       "2            25.6          65    0       80  \n",
-       "3            21.3          46    1       34  \n",
-       "4            19.2          54    0       44  \n",
-       "...           ...         ...  ...      ...  \n",
-       "1747         22.1          27    1       18  \n",
-       "1748         30.7          55    0       49  \n",
-       "1749         21.4          52    0       17  \n",
-       "1750         27.4          62    0       46  \n",
-       "1751         27.7          44    1       13  \n",
-       "\n",
-       "[1752 rows x 12 columns]"
-      ]
-     },
-     "execution_count": 199,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "nets_df = pd.read_csv(\"../../../causalpy/data/nets_df.csv\")\n",
-    "nets_df[\"trt\"] = nets_df[\"net_num\"]\n",
-    "nets_df[\"outcome\"] = nets_df[\"malaria_risk\"]\n",
-    "nets_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 200,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<table class=\"simpletable\">\n",
-       "<caption>OLS Regression Results</caption>\n",
-       "<tr>\n",
-       "  <th>Dep. Variable:</th>         <td>outcome</td>     <th>  R-squared:         </th> <td>   0.885</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.885</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   2692.</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Date:</th>             <td>Tue, 08 Jul 2025</td> <th>  Prob (F-statistic):</th>  <td>  0.00</td>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Time:</th>                 <td>21:57:23</td>     <th>  Log-Likelihood:    </th> <td> -5386.7</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>No. Observations:</th>      <td>  1752</td>      <th>  AIC:               </th> <td>1.079e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Residuals:</th>          <td>  1746</td>      <th>  BIC:               </th> <td>1.082e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Model:</th>              <td>     5</td>      <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "       <td></td>          <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Intercept</th>   <td>   76.2067</td> <td>    0.966</td> <td>   78.906</td> <td> 0.000</td> <td>   74.313</td> <td>   78.101</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>trt</th>         <td>  -10.4370</td> <td>    0.266</td> <td>  -39.163</td> <td> 0.000</td> <td>  -10.960</td> <td>   -9.914</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>income</th>      <td>   -0.0751</td> <td>    0.001</td> <td>  -72.563</td> <td> 0.000</td> <td>   -0.077</td> <td>   -0.073</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>temperature</th> <td>    1.0058</td> <td>    0.031</td> <td>   32.483</td> <td> 0.000</td> <td>    0.945</td> <td>    1.067</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>health</th>      <td>    0.1483</td> <td>    0.011</td> <td>   13.900</td> <td> 0.000</td> <td>    0.127</td> <td>    0.169</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>household</th>   <td>   -0.0155</td> <td>    0.089</td> <td>   -0.173</td> <td> 0.863</td> <td>   -0.191</td> <td>    0.160</td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "  <th>Omnibus:</th>       <td>60.116</td> <th>  Durbin-Watson:     </th> <td>   2.095</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td>  65.001</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Skew:</th>          <td> 0.462</td> <th>  Prob(JB):          </th> <td>7.68e-15</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Kurtosis:</th>      <td> 2.813</td> <th>  Cond. No.          </th> <td>7.14e+03</td>\n",
-       "</tr>\n",
-       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The condition number is large, 7.14e+03. This might indicate that there are<br/>strong multicollinearity or other numerical problems."
-      ],
-      "text/latex": [
-       "\\begin{center}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\toprule\n",
-       "\\textbf{Dep. Variable:}    &     outcome      & \\textbf{  R-squared:         } &     0.885   \\\\\n",
-       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.885   \\\\\n",
-       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     2692.   \\\\\n",
-       "\\textbf{Date:}             & Tue, 08 Jul 2025 & \\textbf{  Prob (F-statistic):} &     0.00    \\\\\n",
-       "\\textbf{Time:}             &     21:57:23     & \\textbf{  Log-Likelihood:    } &   -5386.7   \\\\\n",
-       "\\textbf{No. Observations:} &        1752      & \\textbf{  AIC:               } & 1.079e+04   \\\\\n",
-       "\\textbf{Df Residuals:}     &        1746      & \\textbf{  BIC:               } & 1.082e+04   \\\\\n",
-       "\\textbf{Df Model:}         &           5      & \\textbf{                     } &             \\\\\n",
-       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lcccccc}\n",
-       "                     & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
-       "\\midrule\n",
-       "\\textbf{Intercept}   &      76.2067  &        0.966     &    78.906  &         0.000        &       74.313    &       78.101     \\\\\n",
-       "\\textbf{trt}         &     -10.4370  &        0.266     &   -39.163  &         0.000        &      -10.960    &       -9.914     \\\\\n",
-       "\\textbf{income}      &      -0.0751  &        0.001     &   -72.563  &         0.000        &       -0.077    &       -0.073     \\\\\n",
-       "\\textbf{temperature} &       1.0058  &        0.031     &    32.483  &         0.000        &        0.945    &        1.067     \\\\\n",
-       "\\textbf{health}      &       0.1483  &        0.011     &    13.900  &         0.000        &        0.127    &        0.169     \\\\\n",
-       "\\textbf{household}   &      -0.0155  &        0.089     &    -0.173  &         0.863        &       -0.191    &        0.160     \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\textbf{Omnibus:}       & 60.116 & \\textbf{  Durbin-Watson:     } &    2.095  \\\\\n",
-       "\\textbf{Prob(Omnibus):} &  0.000 & \\textbf{  Jarque-Bera (JB):  } &   65.001  \\\\\n",
-       "\\textbf{Skew:}          &  0.462 & \\textbf{  Prob(JB):          } & 7.68e-15  \\\\\n",
-       "\\textbf{Kurtosis:}      &  2.813 & \\textbf{  Cond. No.          } & 7.14e+03  \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "%\\caption{OLS Regression Results}\n",
-       "\\end{center}\n",
-       "\n",
-       "Notes: \\newline\n",
-       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n",
-       " [2] The condition number is large, 7.14e+03. This might indicate that there are \\newline\n",
-       " strong multicollinearity or other numerical problems."
-      ],
-      "text/plain": [
-       "<class 'statsmodels.iolib.summary.Summary'>\n",
-       "\"\"\"\n",
-       "                            OLS Regression Results                            \n",
-       "==============================================================================\n",
-       "Dep. Variable:                outcome   R-squared:                       0.885\n",
-       "Model:                            OLS   Adj. R-squared:                  0.885\n",
-       "Method:                 Least Squares   F-statistic:                     2692.\n",
-       "Date:                Tue, 08 Jul 2025   Prob (F-statistic):               0.00\n",
-       "Time:                        21:57:23   Log-Likelihood:                -5386.7\n",
-       "No. Observations:                1752   AIC:                         1.079e+04\n",
-       "Df Residuals:                    1746   BIC:                         1.082e+04\n",
-       "Df Model:                           5                                         \n",
-       "Covariance Type:            nonrobust                                         \n",
-       "===============================================================================\n",
-       "                  coef    std err          t      P>|t|      [0.025      0.975]\n",
-       "-------------------------------------------------------------------------------\n",
-       "Intercept      76.2067      0.966     78.906      0.000      74.313      78.101\n",
-       "trt           -10.4370      0.266    -39.163      0.000     -10.960      -9.914\n",
-       "income         -0.0751      0.001    -72.563      0.000      -0.077      -0.073\n",
-       "temperature     1.0058      0.031     32.483      0.000       0.945       1.067\n",
-       "health          0.1483      0.011     13.900      0.000       0.127       0.169\n",
-       "household      -0.0155      0.089     -0.173      0.863      -0.191       0.160\n",
-       "==============================================================================\n",
-       "Omnibus:                       60.116   Durbin-Watson:                   2.095\n",
-       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               65.001\n",
-       "Skew:                           0.462   Prob(JB):                     7.68e-15\n",
-       "Kurtosis:                       2.813   Cond. No.                     7.14e+03\n",
-       "==============================================================================\n",
-       "\n",
-       "Notes:\n",
-       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
-       "[2] The condition number is large, 7.14e+03. This might indicate that there are\n",
-       "strong multicollinearity or other numerical problems.\n",
-       "\"\"\""
-      ]
-     },
-     "execution_count": 200,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import statsmodels.formula.api as smf\n",
-    "\n",
-    "res = smf.ols(\n",
-    "    \"outcome ~ trt + income + temperature + health + household\", nets_df\n",
-    ").fit()\n",
-    "res.summary()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 201,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Optimization terminated successfully.\n",
-      "         Current function value: 0.632368\n",
-      "         Iterations 5\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<table class=\"simpletable\">\n",
-       "<caption>Logit Regression Results</caption>\n",
-       "<tr>\n",
-       "  <th>Dep. Variable:</th>          <td>trt</td>       <th>  No. Observations:  </th>  <td>  1752</td>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Model:</th>                 <td>Logit</td>      <th>  Df Residuals:      </th>  <td>  1747</td>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Method:</th>                 <td>MLE</td>       <th>  Df Model:          </th>  <td>     4</td>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Date:</th>            <td>Tue, 08 Jul 2025</td> <th>  Pseudo R-squ.:     </th>  <td>0.05357</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Time:</th>                <td>21:57:26</td>     <th>  Log-Likelihood:    </th> <td> -1107.9</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>converged:</th>             <td>True</td>       <th>  LL-Null:           </th> <td> -1170.6</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Covariance Type:</th>     <td>nonrobust</td>    <th>  LLR p-value:       </th> <td>3.704e-26</td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "       <td></td>          <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Intercept</th>   <td>   -1.8249</td> <td>    0.395</td> <td>   -4.616</td> <td> 0.000</td> <td>   -2.600</td> <td>   -1.050</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>income</th>      <td>    0.0021</td> <td>    0.000</td> <td>    4.923</td> <td> 0.000</td> <td>    0.001</td> <td>    0.003</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>temperature</th> <td>   -0.0582</td> <td>    0.013</td> <td>   -4.626</td> <td> 0.000</td> <td>   -0.083</td> <td>   -0.034</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>health</th>      <td>    0.0071</td> <td>    0.004</td> <td>    1.649</td> <td> 0.099</td> <td>   -0.001</td> <td>    0.016</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>household</th>   <td>    0.1601</td> <td>    0.036</td> <td>    4.436</td> <td> 0.000</td> <td>    0.089</td> <td>    0.231</td>\n",
-       "</tr>\n",
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-      "text/latex": [
-       "\\begin{center}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\toprule\n",
-       "\\textbf{Dep. Variable:}   &       trt        & \\textbf{  No. Observations:  } &     1752    \\\\\n",
-       "\\textbf{Model:}           &      Logit       & \\textbf{  Df Residuals:      } &     1747    \\\\\n",
-       "\\textbf{Method:}          &       MLE        & \\textbf{  Df Model:          } &        4    \\\\\n",
-       "\\textbf{Date:}            & Tue, 08 Jul 2025 & \\textbf{  Pseudo R-squ.:     } &  0.05357    \\\\\n",
-       "\\textbf{Time:}            &     21:57:26     & \\textbf{  Log-Likelihood:    } &   -1107.9   \\\\\n",
-       "\\textbf{converged:}       &       True       & \\textbf{  LL-Null:           } &   -1170.6   \\\\\n",
-       "\\textbf{Covariance Type:} &    nonrobust     & \\textbf{  LLR p-value:       } & 3.704e-26   \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lcccccc}\n",
-       "                     & \\textbf{coef} & \\textbf{std err} & \\textbf{z} & \\textbf{P$> |$z$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
-       "\\midrule\n",
-       "\\textbf{Intercept}   &      -1.8249  &        0.395     &    -4.616  &         0.000        &       -2.600    &       -1.050     \\\\\n",
-       "\\textbf{income}      &       0.0021  &        0.000     &     4.923  &         0.000        &        0.001    &        0.003     \\\\\n",
-       "\\textbf{temperature} &      -0.0582  &        0.013     &    -4.626  &         0.000        &       -0.083    &       -0.034     \\\\\n",
-       "\\textbf{health}      &       0.0071  &        0.004     &     1.649  &         0.099        &       -0.001    &        0.016     \\\\\n",
-       "\\textbf{household}   &       0.1601  &        0.036     &     4.436  &         0.000        &        0.089    &        0.231     \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "%\\caption{Logit Regression Results}\n",
-       "\\end{center}"
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-       "<class 'statsmodels.iolib.summary.Summary'>\n",
-       "\"\"\"\n",
-       "                           Logit Regression Results                           \n",
-       "==============================================================================\n",
-       "Dep. Variable:                    trt   No. Observations:                 1752\n",
-       "Model:                          Logit   Df Residuals:                     1747\n",
-       "Method:                           MLE   Df Model:                            4\n",
-       "Date:                Tue, 08 Jul 2025   Pseudo R-squ.:                 0.05357\n",
-       "Time:                        21:57:26   Log-Likelihood:                -1107.9\n",
-       "converged:                       True   LL-Null:                       -1170.6\n",
-       "Covariance Type:            nonrobust   LLR p-value:                 3.704e-26\n",
-       "===============================================================================\n",
-       "                  coef    std err          z      P>|z|      [0.025      0.975]\n",
-       "-------------------------------------------------------------------------------\n",
-       "Intercept      -1.8249      0.395     -4.616      0.000      -2.600      -1.050\n",
-       "income          0.0021      0.000      4.923      0.000       0.001       0.003\n",
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-       "===============================================================================\n",
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-     "execution_count": 201,
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-    "res = smf.logit(\"trt ~ income + temperature + health + household\", nets_df).fit()\n",
-    "res.summary()"
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-   "cell_type": "code",
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-    "Y_data = nets_df[\"outcome\"].values\n",
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-    "priors = {\n",
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-   "execution_count": 203,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, beta_std, beta_ps_spline, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
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-       "Output()"
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-     "metadata": {},
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-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
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-     "data": {
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-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 24 seconds.\n"
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-    "    idata_net = pm.sample(tune=2000, target_accept=0.98)"
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-   "execution_count": 205,
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-   "outputs": [
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-       "      <td>2024.0</td>\n",
-       "      <td>2499.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                      mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "alpha_trt           -0.483  0.053  -0.579   -0.384      0.001    0.001   \n",
-       "beta_[trt]          -9.862  0.251 -10.348   -9.418      0.003    0.002   \n",
-       "beta_[income]      -13.672  0.211 -14.045  -13.269      0.004    0.003   \n",
-       "beta_[temperature]   4.099  0.140   3.818    4.343      0.002    0.002   \n",
-       "beta_[health]        2.210  0.193   1.858    2.589      0.003    0.002   \n",
-       "beta_ps              0.161  1.021  -1.786    2.028      0.023    0.016   \n",
-       "alpha_outcome       39.363  0.432  38.569   40.190      0.010    0.007   \n",
-       "\n",
-       "                    ess_bulk  ess_tail  r_hat  \n",
-       "alpha_trt             5177.0    3056.0    1.0  \n",
-       "beta_[trt]            6022.0    2892.0    1.0  \n",
-       "beta_[income]         2854.0    3114.0    1.0  \n",
-       "beta_[temperature]    3589.0    3081.0    1.0  \n",
-       "beta_[health]         3387.0    2828.0    1.0  \n",
-       "beta_ps               1997.0    2611.0    1.0  \n",
-       "alpha_outcome         2024.0    2499.0    1.0  "
-      ]
-     },
-     "execution_count": 205,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "az.summary(idata_net, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 208,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: title={'center': 'beta_\\ntrt'}>"
-      ]
-     },
-     "execution_count": 208,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 720x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "az.plot_posterior(idata_net, var_names=[\"beta_\"], coords={\"betas\": [\"trt\"]})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## LaLonde Example"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 209,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "lalonde = pd.read_csv(\n",
-    "    \"https://vincentarelbundock.github.io/Rdatasets/csv/MatchIt/lalonde.csv\"\n",
-    ")\n",
-    "lalonde[[\"hispan\", \"white\"]] = pd.get_dummies(lalonde[\"race\"], drop_first=True)\n",
-    "lalonde.dropna(inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 210,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 720x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from matplotlib import pyplot as plt\n",
-    "\n",
-    "plt.hist(lalonde[\"re78\"], bins=30, alpha=0.5, ec=\"black\");"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 211,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "treat\n",
-       "0    6984.169742\n",
-       "1    6349.143530\n",
-       "Name: re78, dtype: float64"
-      ]
-     },
-     "execution_count": 211,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "lalonde.groupby(\"treat\")[\"re78\"].mean()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 212,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n"
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-       "<!-- like -->\n",
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-       "<title>X_outcome&#45;&gt;like</title>\n",
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-       "</g>\n",
-       "<!-- T -->\n",
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-       "<title>T</title>\n",
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-       "</g>\n",
-       "<!-- t_pred&#45;&gt;T -->\n",
-       "<g id=\"edge1\" class=\"edge\">\n",
-       "<title>t_pred&#45;&gt;T</title>\n",
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-       "<g id=\"edge2\" class=\"edge\">\n",
-       "<title>like&#45;&gt;Y</title>\n",
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-       "<!-- spline_features -->\n",
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-       "<text text-anchor=\"middle\" x=\"263\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"263\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
-       "</g>\n",
-       "<!-- spline_features&#45;&gt;like -->\n",
-       "<g id=\"edge9\" class=\"edge\">\n",
-       "<title>spline_features&#45;&gt;like</title>\n",
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-       "<!-- p&#45;&gt;t_pred -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
-       "<title>p&#45;&gt;t_pred</title>\n",
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-       "<title>p&#45;&gt;like</title>\n",
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-       "<text text-anchor=\"middle\" x=\"139\" y=\"-404.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
-       "</g>\n",
-       "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
-       "<title>beta_trt_&#45;&gt;p</title>\n",
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-       "<title>beta_</title>\n",
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-       "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge12\" class=\"edge\">\n",
-       "<title>beta_&#45;&gt;like</title>\n",
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-       "<!-- beta_ps_spline -->\n",
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-       "<!-- beta_ps_spline&#45;&gt;spline_features -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
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-       "</g>\n",
-       "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
-       "<title>sigma&#45;&gt;like</title>\n",
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-       "<!-- alpha_outcome&#45;&gt;like -->\n",
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-       "<title>alpha_trt</title>\n",
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-       "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
-       "<title>alpha_trt&#45;&gt;p</title>\n",
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-      "text/plain": [
-       "<graphviz.graphs.Digraph at 0x332571ff0>"
-      ]
-     },
-     "execution_count": 212,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "coords = {\n",
-    "    \"betas\": [\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
-    "    \"betas_trt\": [\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
-    "    \"obs\": range(lalonde.shape[0]),\n",
-    "}\n",
-    "\n",
-    "N = lalonde.shape[0]\n",
-    "X_trt = (\n",
-    "    lalonde[[\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
-    "    .astype(np.int32)\n",
-    "    .values\n",
-    ")\n",
-    "\n",
-    "X_outcome = (\n",
-    "    lalonde[[\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
-    "    .astype(np.int32)\n",
-    "    .values\n",
-    ")\n",
-    "T_data = lalonde[\"treat\"].values\n",
-    "Y_data = lalonde[\"re78\"].values\n",
-    "\n",
-    "\n",
-    "priors = {\n",
-    "    \"beta_\": [0, 4000],\n",
-    "    \"beta_trt\": [0, 4000],\n",
-    "    \"alpha_trt\": [0, 1],\n",
-    "    \"alpha_outcome\": [2000, 500],\n",
-    "}\n",
-    "\n",
-    "lalonde_model = make_model(\n",
-    "    X_trt, X_outcome, T_data, Y_data, coords, priors, noncentred=False\n",
-    ")\n",
-    "\n",
-    "pm.model_to_graphviz(lalonde_model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 213,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "95714d992e254caf976969b2f8bff41a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/6000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5d294c0ee2fe478d9f7afebf91ff98d9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/6000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fe23b8e9bc9d48928fb4e7f889be60fe",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/6000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "348a1af1b3754aceb106f6312eac13bf",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/6000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "with lalonde_model:\n",
-    "    idata_lalonde = pm.sample(tune=5000, nuts_sampler=\"numpyro\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 214,
-   "metadata": {},
-   "outputs": [
-    {
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-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>alpha_trt</th>\n",
-       "      <td>-0.790</td>\n",
-       "      <td>0.698</td>\n",
-       "      <td>-2.115</td>\n",
-       "      <td>0.501</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>2983.0</td>\n",
-       "      <td>2748.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[age]</th>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>-0.019</td>\n",
-       "      <td>0.028</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>5098.0</td>\n",
-       "      <td>3089.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[educ]</th>\n",
-       "      <td>0.106</td>\n",
-       "      <td>0.051</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>0.198</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>3154.0</td>\n",
-       "      <td>2689.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[hispan]</th>\n",
-       "      <td>-2.216</td>\n",
-       "      <td>0.363</td>\n",
-       "      <td>-2.920</td>\n",
-       "      <td>-1.560</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5801.0</td>\n",
-       "      <td>2600.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[white]</th>\n",
-       "      <td>-3.190</td>\n",
-       "      <td>0.281</td>\n",
-       "      <td>-3.707</td>\n",
-       "      <td>-2.666</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>6291.0</td>\n",
-       "      <td>3060.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[married]</th>\n",
-       "      <td>-0.926</td>\n",
-       "      <td>0.275</td>\n",
-       "      <td>-1.411</td>\n",
-       "      <td>-0.393</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5715.0</td>\n",
-       "      <td>2943.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[nodegree]</th>\n",
-       "      <td>0.596</td>\n",
-       "      <td>0.287</td>\n",
-       "      <td>0.061</td>\n",
-       "      <td>1.128</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>3618.0</td>\n",
-       "      <td>3214.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>-1995.540</td>\n",
-       "      <td>146.711</td>\n",
-       "      <td>-2275.632</td>\n",
-       "      <td>-1730.047</td>\n",
-       "      <td>2.774</td>\n",
-       "      <td>1.963</td>\n",
-       "      <td>2796.0</td>\n",
-       "      <td>2580.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[treat]</th>\n",
-       "      <td>1149.428</td>\n",
-       "      <td>46.173</td>\n",
-       "      <td>1064.198</td>\n",
-       "      <td>1237.905</td>\n",
-       "      <td>0.708</td>\n",
-       "      <td>0.500</td>\n",
-       "      <td>4265.0</td>\n",
-       "      <td>2900.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[age]</th>\n",
-       "      <td>53.599</td>\n",
-       "      <td>1.945</td>\n",
-       "      <td>49.927</td>\n",
-       "      <td>57.131</td>\n",
-       "      <td>0.029</td>\n",
-       "      <td>0.020</td>\n",
-       "      <td>4613.0</td>\n",
-       "      <td>3049.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[educ]</th>\n",
-       "      <td>504.968</td>\n",
-       "      <td>9.573</td>\n",
-       "      <td>487.939</td>\n",
-       "      <td>523.801</td>\n",
-       "      <td>0.175</td>\n",
-       "      <td>0.124</td>\n",
-       "      <td>2986.0</td>\n",
-       "      <td>2946.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[hispan]</th>\n",
-       "      <td>2135.166</td>\n",
-       "      <td>63.151</td>\n",
-       "      <td>2016.390</td>\n",
-       "      <td>2253.170</td>\n",
-       "      <td>0.934</td>\n",
-       "      <td>0.661</td>\n",
-       "      <td>4583.0</td>\n",
-       "      <td>2990.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[white]</th>\n",
-       "      <td>1517.431</td>\n",
-       "      <td>46.790</td>\n",
-       "      <td>1431.319</td>\n",
-       "      <td>1605.771</td>\n",
-       "      <td>0.747</td>\n",
-       "      <td>0.529</td>\n",
-       "      <td>3921.0</td>\n",
-       "      <td>3050.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[married]</th>\n",
-       "      <td>2135.770</td>\n",
-       "      <td>39.340</td>\n",
-       "      <td>2067.000</td>\n",
-       "      <td>2212.694</td>\n",
-       "      <td>0.542</td>\n",
-       "      <td>0.383</td>\n",
-       "      <td>5262.0</td>\n",
-       "      <td>3487.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[nodegree]</th>\n",
-       "      <td>-129.812</td>\n",
-       "      <td>52.011</td>\n",
-       "      <td>-224.877</td>\n",
-       "      <td>-31.159</td>\n",
-       "      <td>0.933</td>\n",
-       "      <td>0.663</td>\n",
-       "      <td>3105.0</td>\n",
-       "      <td>3027.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>0.031</td>\n",
-       "      <td>0.963</td>\n",
-       "      <td>-1.787</td>\n",
-       "      <td>1.813</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>5835.0</td>\n",
-       "      <td>3107.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                         mean       sd    hdi_3%   hdi_97%  mcse_mean  \\\n",
-       "alpha_trt              -0.790    0.698    -2.115     0.501      0.013   \n",
-       "beta_trt_[age]          0.005    0.013    -0.019     0.028      0.000   \n",
-       "beta_trt_[educ]         0.106    0.051     0.007     0.198      0.001   \n",
-       "beta_trt_[hispan]      -2.216    0.363    -2.920    -1.560      0.005   \n",
-       "beta_trt_[white]       -3.190    0.281    -3.707    -2.666      0.004   \n",
-       "beta_trt_[married]     -0.926    0.275    -1.411    -0.393      0.004   \n",
-       "beta_trt_[nodegree]     0.596    0.287     0.061     1.128      0.005   \n",
-       "alpha_outcome       -1995.540  146.711 -2275.632 -1730.047      2.774   \n",
-       "beta_[treat]         1149.428   46.173  1064.198  1237.905      0.708   \n",
-       "beta_[age]             53.599    1.945    49.927    57.131      0.029   \n",
-       "beta_[educ]           504.968    9.573   487.939   523.801      0.175   \n",
-       "beta_[hispan]        2135.166   63.151  2016.390  2253.170      0.934   \n",
-       "beta_[white]         1517.431   46.790  1431.319  1605.771      0.747   \n",
-       "beta_[married]       2135.770   39.340  2067.000  2212.694      0.542   \n",
-       "beta_[nodegree]      -129.812   52.011  -224.877   -31.159      0.933   \n",
-       "beta_ps                 0.031    0.963    -1.787     1.813      0.013   \n",
-       "\n",
-       "                     mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "alpha_trt              0.010    2983.0    2748.0    1.0  \n",
-       "beta_trt_[age]         0.000    5098.0    3089.0    1.0  \n",
-       "beta_trt_[educ]        0.001    3154.0    2689.0    1.0  \n",
-       "beta_trt_[hispan]      0.004    5801.0    2600.0    1.0  \n",
-       "beta_trt_[white]       0.003    6291.0    3060.0    1.0  \n",
-       "beta_trt_[married]     0.003    5715.0    2943.0    1.0  \n",
-       "beta_trt_[nodegree]    0.003    3618.0    3214.0    1.0  \n",
-       "alpha_outcome          1.963    2796.0    2580.0    1.0  \n",
-       "beta_[treat]           0.500    4265.0    2900.0    1.0  \n",
-       "beta_[age]             0.020    4613.0    3049.0    1.0  \n",
-       "beta_[educ]            0.124    2986.0    2946.0    1.0  \n",
-       "beta_[hispan]          0.661    4583.0    2990.0    1.0  \n",
-       "beta_[white]           0.529    3921.0    3050.0    1.0  \n",
-       "beta_[married]         0.383    5262.0    3487.0    1.0  \n",
-       "beta_[nodegree]        0.663    3105.0    3027.0    1.0  \n",
-       "beta_ps                0.015    5835.0    3107.0    1.0  "
-      ]
-     },
-     "execution_count": 214,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "az.summary(\n",
-    "    idata_lalonde,\n",
-    "    var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"],\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 215,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: [like]\n"
-     ]
-    },
-    {
-     "data": {
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-      "text/plain": [
-       "Output()"
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-     "output_type": "stream",
-     "text": [
-      "Sampling: [like]\n"
-     ]
-    },
-    {
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-       "Output()"
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-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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-   "source": [
-    "X_outcome_trt = X_outcome.copy()\n",
-    "X_outcome_trt[:, 0] = 1\n",
-    "X_outcome_trt = X_outcome_trt.astype(np.int32)\n",
-    "\n",
-    "X_outcome_ntrt = X_outcome.copy()\n",
-    "X_outcome_ntrt[:, 0] = 0\n",
-    "X_outcome_ntrt = X_outcome_ntrt.astype(np.int32)\n",
-    "\n",
-    "\n",
-    "with pm.do(\n",
-    "    lalonde_model,\n",
-    "    {\"T\": np.ones(len(lalonde), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
-    "    prune_vars=True,\n",
-    ") as treatment_model:\n",
-    "    idata_trt = pm.sample_posterior_predictive(idata_lalonde, var_names=[\"like\", \"p\"])\n",
-    "\n",
-    "with pm.do(\n",
-    "    lalonde_model,\n",
-    "    {\"T\": np.zeros(len(lalonde), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
-    "    prune_vars=True,\n",
-    ") as ntreatment_model:\n",
-    "    idata_ntrt = pm.sample_posterior_predictive(idata_lalonde, var_names=[\"like\", \"p\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 216,
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-   "outputs": [
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-       "\n",
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-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
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-       "  fill: currentColor;\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(1149.42770137)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-73c5193e-cca8-4d18-b16b-fb549ff91555' class='xr-array-in' type='checkbox' checked><label for='section-73c5193e-cca8-4d18-b16b-fb549ff91555' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.149e+03</span></div><div class='xr-array-data'><pre>array(1149.42770137)</pre></div></div></li><li class='xr-section-item'><input id='section-59b0fc5c-bfb3-41a3-be6d-2318d59c0ada' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59b0fc5c-bfb3-41a3-be6d-2318d59c0ada' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b8a7f7e3-5a57-499b-97da-706972fd9def' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b8a7f7e3-5a57-499b-97da-706972fd9def' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b412e1aa-f63b-4161-80fc-144984a7928c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b412e1aa-f63b-4161-80fc-144984a7928c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(1149.42770137)"
-      ]
-     },
-     "execution_count": 216,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "(\n",
-    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
-    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 217,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<table class=\"simpletable\">\n",
-       "<caption>OLS Regression Results</caption>\n",
-       "<tr>\n",
-       "  <th>Dep. Variable:</th>          <td>re78</td>       <th>  R-squared:         </th> <td>   0.002</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>  -0.000</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>  0.9338</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Date:</th>             <td>Tue, 08 Jul 2025</td> <th>  Prob (F-statistic):</th>  <td> 0.334</td>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Time:</th>                 <td>22:01:26</td>     <th>  Log-Likelihood:    </th> <td> -6346.4</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.270e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Residuals:</th>          <td>   612</td>      <th>  BIC:               </th> <td>1.271e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Intercept</th> <td> 6984.1697</td> <td>  360.710</td> <td>   19.362</td> <td> 0.000</td> <td> 6275.791</td> <td> 7692.549</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>treat</th>     <td> -635.0262</td> <td>  657.137</td> <td>   -0.966</td> <td> 0.334</td> <td>-1925.544</td> <td>  655.492</td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "  <th>Omnibus:</th>       <td>209.619</td> <th>  Durbin-Watson:     </th> <td>   1.809</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 775.567</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Skew:</th>          <td> 1.567</td>  <th>  Prob(JB):          </th> <td>3.87e-169</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Kurtosis:</th>      <td> 7.527</td>  <th>  Cond. No.          </th> <td>    2.42</td> \n",
-       "</tr>\n",
-       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
-      ],
-      "text/latex": [
-       "\\begin{center}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\toprule\n",
-       "\\textbf{Dep. Variable:}    &       re78       & \\textbf{  R-squared:         } &     0.002   \\\\\n",
-       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &    -0.000   \\\\\n",
-       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &    0.9338   \\\\\n",
-       "\\textbf{Date:}             & Tue, 08 Jul 2025 & \\textbf{  Prob (F-statistic):} &    0.334    \\\\\n",
-       "\\textbf{Time:}             &     22:01:26     & \\textbf{  Log-Likelihood:    } &   -6346.4   \\\\\n",
-       "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.270e+04   \\\\\n",
-       "\\textbf{Df Residuals:}     &         612      & \\textbf{  BIC:               } & 1.271e+04   \\\\\n",
-       "\\textbf{Df Model:}         &           1      & \\textbf{                     } &             \\\\\n",
-       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lcccccc}\n",
-       "                   & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
-       "\\midrule\n",
-       "\\textbf{Intercept} &    6984.1697  &      360.710     &    19.362  &         0.000        &     6275.791    &     7692.549     \\\\\n",
-       "\\textbf{treat}     &    -635.0262  &      657.137     &    -0.966  &         0.334        &    -1925.544    &      655.492     \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\textbf{Omnibus:}       & 209.619 & \\textbf{  Durbin-Watson:     } &     1.809  \\\\\n",
-       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &   775.567  \\\\\n",
-       "\\textbf{Skew:}          &   1.567 & \\textbf{  Prob(JB):          } & 3.87e-169  \\\\\n",
-       "\\textbf{Kurtosis:}      &   7.527 & \\textbf{  Cond. No.          } &      2.42  \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "%\\caption{OLS Regression Results}\n",
-       "\\end{center}\n",
-       "\n",
-       "Notes: \\newline\n",
-       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
-      ],
-      "text/plain": [
-       "<class 'statsmodels.iolib.summary.Summary'>\n",
-       "\"\"\"\n",
-       "                            OLS Regression Results                            \n",
-       "==============================================================================\n",
-       "Dep. Variable:                   re78   R-squared:                       0.002\n",
-       "Model:                            OLS   Adj. R-squared:                 -0.000\n",
-       "Method:                 Least Squares   F-statistic:                    0.9338\n",
-       "Date:                Tue, 08 Jul 2025   Prob (F-statistic):              0.334\n",
-       "Time:                        22:01:26   Log-Likelihood:                -6346.4\n",
-       "No. Observations:                 614   AIC:                         1.270e+04\n",
-       "Df Residuals:                     612   BIC:                         1.271e+04\n",
-       "Df Model:                           1                                         \n",
-       "Covariance Type:            nonrobust                                         \n",
-       "==============================================================================\n",
-       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
-       "------------------------------------------------------------------------------\n",
-       "Intercept   6984.1697    360.710     19.362      0.000    6275.791    7692.549\n",
-       "treat       -635.0262    657.137     -0.966      0.334   -1925.544     655.492\n",
-       "==============================================================================\n",
-       "Omnibus:                      209.619   Durbin-Watson:                   1.809\n",
-       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              775.567\n",
-       "Skew:                           1.567   Prob(JB):                    3.87e-169\n",
-       "Kurtosis:                       7.527   Cond. No.                         2.42\n",
-       "==============================================================================\n",
-       "\n",
-       "Notes:\n",
-       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
-       "\"\"\""
-      ]
-     },
-     "execution_count": 217,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "res = smf.ols(\"re78 ~ treat \", lalonde).fit()\n",
-    "res.summary()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 218,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<table class=\"simpletable\">\n",
-       "<caption>OLS Regression Results</caption>\n",
-       "<tr>\n",
-       "  <th>Dep. Variable:</th>          <td>re78</td>       <th>  R-squared:         </th> <td>   0.071</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.060</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   6.594</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Date:</th>             <td>Tue, 08 Jul 2025</td> <th>  Prob (F-statistic):</th> <td>1.59e-07</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Time:</th>                 <td>22:01:32</td>     <th>  Log-Likelihood:    </th> <td> -6324.3</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.266e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Residuals:</th>          <td>   606</td>      <th>  BIC:               </th> <td>1.270e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Model:</th>              <td>     7</td>      <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "         <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Intercept</th>      <td>-2352.7506</td> <td> 2540.562</td> <td>   -0.926</td> <td> 0.355</td> <td>-7342.126</td> <td> 2636.625</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>hispan[T.True]</th> <td> 2173.6001</td> <td> 1059.746</td> <td>    2.051</td> <td> 0.041</td> <td>   92.380</td> <td> 4254.820</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>white[T.True]</th>  <td> 1538.0720</td> <td>  798.864</td> <td>    1.925</td> <td> 0.055</td> <td>  -30.807</td> <td> 3106.951</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>treat</th>          <td> 1163.9224</td> <td>  811.617</td> <td>    1.434</td> <td> 0.152</td> <td> -430.001</td> <td> 2757.845</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>age</th>            <td>   55.8953</td> <td>   32.831</td> <td>    1.703</td> <td> 0.089</td> <td>   -8.582</td> <td>  120.372</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>educ</th>           <td>  525.5796</td> <td>  164.381</td> <td>    3.197</td> <td> 0.001</td> <td>  202.753</td> <td>  848.406</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>married</th>        <td> 2136.9467</td> <td>  679.736</td> <td>    3.144</td> <td> 0.002</td> <td>  802.022</td> <td> 3471.871</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>nodegree</th>       <td>  -36.4776</td> <td>  882.377</td> <td>   -0.041</td> <td> 0.967</td> <td>-1769.367</td> <td> 1696.411</td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "  <th>Omnibus:</th>       <td>201.275</td> <th>  Durbin-Watson:     </th> <td>   1.903</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 848.900</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Skew:</th>          <td> 1.446</td>  <th>  Prob(JB):          </th> <td>4.61e-185</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Kurtosis:</th>      <td> 7.982</td>  <th>  Cond. No.          </th> <td>    279.</td> \n",
-       "</tr>\n",
-       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
-      ],
-      "text/latex": [
-       "\\begin{center}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\toprule\n",
-       "\\textbf{Dep. Variable:}    &       re78       & \\textbf{  R-squared:         } &     0.071   \\\\\n",
-       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.060   \\\\\n",
-       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     6.594   \\\\\n",
-       "\\textbf{Date:}             & Tue, 08 Jul 2025 & \\textbf{  Prob (F-statistic):} &  1.59e-07   \\\\\n",
-       "\\textbf{Time:}             &     22:01:32     & \\textbf{  Log-Likelihood:    } &   -6324.3   \\\\\n",
-       "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.266e+04   \\\\\n",
-       "\\textbf{Df Residuals:}     &         606      & \\textbf{  BIC:               } & 1.270e+04   \\\\\n",
-       "\\textbf{Df Model:}         &           7      & \\textbf{                     } &             \\\\\n",
-       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lcccccc}\n",
-       "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
-       "\\midrule\n",
-       "\\textbf{Intercept}      &   -2352.7506  &     2540.562     &    -0.926  &         0.355        &    -7342.126    &     2636.625     \\\\\n",
-       "\\textbf{hispan[T.True]} &    2173.6001  &     1059.746     &     2.051  &         0.041        &       92.380    &     4254.820     \\\\\n",
-       "\\textbf{white[T.True]}  &    1538.0720  &      798.864     &     1.925  &         0.055        &      -30.807    &     3106.951     \\\\\n",
-       "\\textbf{treat}          &    1163.9224  &      811.617     &     1.434  &         0.152        &     -430.001    &     2757.845     \\\\\n",
-       "\\textbf{age}            &      55.8953  &       32.831     &     1.703  &         0.089        &       -8.582    &      120.372     \\\\\n",
-       "\\textbf{educ}           &     525.5796  &      164.381     &     3.197  &         0.001        &      202.753    &      848.406     \\\\\n",
-       "\\textbf{married}        &    2136.9467  &      679.736     &     3.144  &         0.002        &      802.022    &     3471.871     \\\\\n",
-       "\\textbf{nodegree}       &     -36.4776  &      882.377     &    -0.041  &         0.967        &    -1769.367    &     1696.411     \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\textbf{Omnibus:}       & 201.275 & \\textbf{  Durbin-Watson:     } &     1.903  \\\\\n",
-       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &   848.900  \\\\\n",
-       "\\textbf{Skew:}          &   1.446 & \\textbf{  Prob(JB):          } & 4.61e-185  \\\\\n",
-       "\\textbf{Kurtosis:}      &   7.982 & \\textbf{  Cond. No.          } &      279.  \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "%\\caption{OLS Regression Results}\n",
-       "\\end{center}\n",
-       "\n",
-       "Notes: \\newline\n",
-       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
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       "text/plain": [
-       "<class 'statsmodels.iolib.summary.Summary'>\n",
-       "\"\"\"\n",
-       "                            OLS Regression Results                            \n",
-       "==============================================================================\n",
-       "Dep. Variable:                   re78   R-squared:                       0.071\n",
-       "Model:                            OLS   Adj. R-squared:                  0.060\n",
-       "Method:                 Least Squares   F-statistic:                     6.594\n",
-       "Date:                Tue, 08 Jul 2025   Prob (F-statistic):           1.59e-07\n",
-       "Time:                        22:01:32   Log-Likelihood:                -6324.3\n",
-       "No. Observations:                 614   AIC:                         1.266e+04\n",
-       "Df Residuals:                     606   BIC:                         1.270e+04\n",
-       "Df Model:                           7                                         \n",
-       "Covariance Type:            nonrobust                                         \n",
-       "==================================================================================\n",
-       "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
-       "----------------------------------------------------------------------------------\n",
-       "Intercept      -2352.7506   2540.562     -0.926      0.355   -7342.126    2636.625\n",
-       "hispan[T.True]  2173.6001   1059.746      2.051      0.041      92.380    4254.820\n",
-       "white[T.True]   1538.0720    798.864      1.925      0.055     -30.807    3106.951\n",
-       "treat           1163.9224    811.617      1.434      0.152    -430.001    2757.845\n",
-       "age               55.8953     32.831      1.703      0.089      -8.582     120.372\n",
-       "educ             525.5796    164.381      3.197      0.001     202.753     848.406\n",
-       "married         2136.9467    679.736      3.144      0.002     802.022    3471.871\n",
-       "nodegree         -36.4776    882.377     -0.041      0.967   -1769.367    1696.411\n",
-       "==============================================================================\n",
-       "Omnibus:                      201.275   Durbin-Watson:                   1.903\n",
-       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              848.900\n",
-       "Skew:                           1.446   Prob(JB):                    4.61e-185\n",
-       "Kurtosis:                       7.982   Cond. No.                         279.\n",
-       "==============================================================================\n",
-       "\n",
-       "Notes:\n",
-       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
-       "\"\"\""
+       "<graphviz.graphs.Digraph at 0x31e65cfd0>"
       ]
      },
-     "execution_count": 218,
+     "execution_count": 322,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "import statsmodels.formula.api as smf\n",
+    "def make_treatment_model(\n",
+    "    X_trt,\n",
+    "    T_data,\n",
+    "    coords,\n",
+    "    priors={\n",
+    "        \"beta_\": [0, 1],\n",
+    "        \"beta_trt\": [0, 1],\n",
+    "        \"alpha_trt\": [0, 1],\n",
+    "        \"alpha_outcome\": [0, 1],\n",
+    "    },\n",
+    "    noncentred=True,\n",
+    "):\n",
+    "    with pm.Model(coords=coords) as model_trt:\n",
+    "        X_data_trt = pm.Data(\"X\", X_trt)\n",
+    "        T_data_ = pm.Data(\"T\", T_data, mutable=True)\n",
+    "\n",
+    "        if noncentred:\n",
+    "            mu_beta_trt, sigma_beta_trt = priors[\"beta_trt\"]\n",
+    "            beta_trt_std = pm.Normal(\"beta_trt_std\", 0, 1, dims=\"betas_trt\")\n",
+    "            beta_trt = pm.Deterministic(\n",
+    "                \"beta_trt_\",\n",
+    "                mu_beta_trt + sigma_beta_trt * beta_trt_std,\n",
+    "                dims=\"betas_trt\",\n",
+    "            )\n",
+    "\n",
+    "        else:\n",
+    "            beta_trt = pm.Normal(\n",
+    "                \"beta_trt_\",\n",
+    "                priors[\"beta_trt\"][0],\n",
+    "                priors[\"beta_trt\"][1],\n",
+    "                dims=\"betas_trt\",\n",
+    "            )\n",
+    "\n",
+    "        alpha_trt = pm.Normal(\n",
+    "            \"alpha_trt\", priors[\"alpha_trt\"][0], priors[\"alpha_trt\"][1]\n",
+    "        )\n",
+    "        mu_trt = alpha_trt + pm.math.dot(X_data_trt, beta_trt)\n",
+    "        p = pm.Deterministic(\"p\", pm.math.invlogit(mu_trt))\n",
     "\n",
-    "res = smf.ols(\n",
-    "    \"re78 ~ treat + age + educ + hispan + white + married + nodegree\", lalonde\n",
-    ").fit()\n",
-    "res.summary()"
+    "        pm.Bernoulli(\"t_pred\", p=p, observed=T_data_)\n",
+    "    return model_trt\n",
+    "\n",
+    "\n",
+    "def make_outcome_model(\n",
+    "    X_outcome,\n",
+    "    Y_data,\n",
+    "    coords,\n",
+    "    priors={\n",
+    "        \"beta_\": [0, 1],\n",
+    "        \"beta_trt\": [0, 1],\n",
+    "        \"alpha_trt\": [0, 1],\n",
+    "        \"alpha_outcome\": [0, 1],\n",
+    "    },\n",
+    "    noncentred=True,\n",
+    "    propensity_score_idata=None,\n",
+    "):\n",
+    "    propensity_scores = az.extract(propensity_score_idata)[\"p\"]\n",
+    "    with pm.Model(coords=coords) as model_outcome:\n",
+    "        X_data_outcome = pm.Data(\"X_outcome\", X_outcome)\n",
+    "        Y_data_ = pm.Data(\"Y\", Y_data)\n",
+    "\n",
+    "        if noncentred:\n",
+    "            mu_beta, sigma_beta = priors[\"beta_\"]\n",
+    "            beta_std = pm.Normal(\"beta_std\", 0, 1, dims=\"betas\")\n",
+    "            beta = pm.Deterministic(\n",
+    "                \"beta_\", mu_beta + sigma_beta * beta_std, dims=\"betas\"\n",
+    "            )\n",
+    "        else:\n",
+    "            beta = pm.Normal(\n",
+    "                \"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\"\n",
+    "            )\n",
+    "\n",
+    "        beta_ps_spline = pm.Normal(\"beta_ps_spline\", 0, 1, size=34)\n",
+    "\n",
+    "        chosen = np.random.choice(range(propensity_scores.shape[1]))\n",
+    "        p = propensity_scores[:, chosen].values\n",
+    "\n",
+    "        B = dmatrix(\n",
+    "            \"bs(ps, knots=knots, degree=3, include_intercept=True, lower_bound=0, upper_bound=1) - 1\",\n",
+    "            {\"ps\": p, \"knots\": np.linspace(0, 1, 30)},\n",
+    "        )\n",
+    "        B_f = np.asarray(B, order=\"F\")\n",
+    "        splines_summed = pm.Deterministic(\n",
+    "            \"spline_features\", pm.math.dot(B_f, beta_ps_spline.T)\n",
+    "        )\n",
+    "\n",
+    "        alpha_outcome = pm.Normal(\n",
+    "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
+    "        )\n",
+    "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + splines_summed\n",
+    "        sigma = pm.HalfNormal(\"sigma\", 1)\n",
+    "\n",
+    "        _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
+    "\n",
+    "    return model_outcome\n",
+    "\n",
+    "\n",
+    "def make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors):\n",
+    "    treatment_model = make_treatment_model(X_trt, T_data, coords, priors)\n",
+    "    with treatment_model:\n",
+    "        idata_treatment = pm.sample_prior_predictive()\n",
+    "        idata_treatment.extend(pm.sample())\n",
+    "\n",
+    "    outcome_model = make_outcome_model(\n",
+    "        X_outcome, Y_data, coords, priors, propensity_score_idata=idata_treatment\n",
+    "    )\n",
+    "    with outcome_model:\n",
+    "        idata_outcome = pm.sample_prior_predictive()\n",
+    "        idata_outcome.extend(pm.sample())\n",
+    "\n",
+    "    return idata_treatment, idata_outcome, treatment_model, outcome_model\n",
+    "\n",
+    "\n",
+    "model = make_model(X_trt, X_outcome, T_data, Y_data, coords)\n",
+    "\n",
+    "pm.model_to_graphviz(model)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Running Seperate Models"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 219,
+   "execution_count": 313,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n"
+     ]
+    },
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       ],
       "text/plain": [
-       "   age  race  trt  smokeintensity  smokeyrs    outcome\n",
-       "0   42     1    0              30        29 -10.093960\n",
-       "1   36     0    0              20        24   2.604970\n",
-       "2   56     1    0              20        26   9.414486\n",
-       "3   68     1    0               3        53   4.990117\n",
-       "4   40     0    0              20        19   4.989251"
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       ]
      },
-     "execution_count": 219,
+     "execution_count": 313,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df = cp.load_data(\"nhefs\")\n",
-    "df[[\"age\", \"race\", \"trt\", \"smokeintensity\", \"smokeyrs\", \"outcome\"]].head()"
+    "model_treatment = make_treatment_model(X_trt, T_data, coords)\n",
+    "\n",
+    "pm.model_to_graphviz(model_treatment)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 221,
+   "execution_count": 314,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n"
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_std, alpha_trt]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "41acd636ecd540508c073b22df1b0315",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
      ]
     },
     {
      "data": {
-      "text/latex": [
-       "$$\n",
-       "            \\begin{array}{rcl}\n",
-       "            \\text{beta\\_trt\\_std} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_std} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_ps\\_spline} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{beta\\_ps} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_trt} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{alpha\\_outcome} &\\sim & \\operatorname{Normal}(0,~1)\\\\\\text{sigma} &\\sim & \\operatorname{HalfNormal}(0,~1)\\\\\\text{beta\\_trt\\_} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_trt\\_std}))\\\\\\text{beta\\_} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_std}))\\\\\\text{p} &\\sim & \\operatorname{Deterministic}(f(\\text{alpha\\_trt},~\\text{beta\\_trt\\_std}))\\\\\\text{spline\\_features} &\\sim & \\operatorname{Deterministic}(f(\\text{beta\\_ps\\_spline}))\\\\\\text{t\\_pred} &\\sim & \\operatorname{Bernoulli}(\\text{p})\\\\\\text{like} &\\sim & \\operatorname{Normal}(f(\\text{beta\\_ps},~\\text{alpha\\_outcome},~\\text{beta\\_ps\\_spline},~\\text{alpha\\_trt},~\\text{beta\\_std},~\\text{beta\\_trt\\_std}),~\\text{sigma})\n",
-       "            \\end{array}\n",
-       "            $$"
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
       ],
-      "text/plain": [
-       "   beta_trt_std ~ Normal(0, 1)\n",
-       "       beta_std ~ Normal(0, 1)\n",
-       " beta_ps_spline ~ Normal(0, 1)\n",
-       "        beta_ps ~ Normal(0, 1)\n",
-       "      alpha_trt ~ Normal(0, 1)\n",
-       "  alpha_outcome ~ Normal(0, 1)\n",
-       "          sigma ~ HalfNormal(0, 1)\n",
-       "      beta_trt_ ~ Deterministic(f(beta_trt_std))\n",
-       "          beta_ ~ Deterministic(f(beta_std))\n",
-       "              p ~ Deterministic(f(alpha_trt, beta_trt_std))\n",
-       "spline_features ~ Deterministic(f(beta_ps_spline))\n",
-       "         t_pred ~ Bernoulli(p)\n",
-       "           like ~ Normal(f(beta_ps, alpha_outcome, beta_ps_spline, alpha_trt, beta_std, beta_trt_std), sigma)"
-      ]
+      "text/plain": []
      },
-     "execution_count": 221,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n"
+     ]
     }
    ],
    "source": [
-    "coords = {\n",
-    "    \"betas\": [\n",
-    "        \"trt\",\n",
-    "        \"age\",\n",
-    "        \"smokeintensity\",\n",
-    "        \"smokeyrs\",\n",
-    "        \"wt71\",\n",
-    "        \"active_1\",\n",
-    "        \"active_2\",\n",
-    "        \"education_2\",\n",
-    "        \"education_3\",\n",
-    "        \"education_4\",\n",
-    "        \"education_5\",\n",
-    "        \"exercise_1\",\n",
-    "        \"exercise_2\",\n",
-    "    ],\n",
-    "    \"betas_trt\": [\n",
-    "        \"age\",\n",
-    "        \"smokeintensity\",\n",
-    "        \"smokeyrs\",\n",
-    "        \"wt71\",\n",
-    "        \"active_1\",\n",
-    "        \"active_2\",\n",
-    "        \"education_2\",\n",
-    "        \"education_3\",\n",
-    "        \"education_4\",\n",
-    "        \"education_5\",\n",
-    "        \"exercise_1\",\n",
-    "        \"exercise_2\",\n",
-    "    ],\n",
-    "    \"obs\": range(df.shape[0]),\n",
-    "}\n",
-    "\n",
-    "N = df.shape[0]\n",
-    "X_trt = df[\n",
-    "    [\n",
-    "        \"age\",\n",
-    "        \"smokeintensity\",\n",
-    "        \"smokeyrs\",\n",
-    "        \"wt71\",\n",
-    "        \"active_1\",\n",
-    "        \"active_2\",\n",
-    "        \"education_2\",\n",
-    "        \"education_3\",\n",
-    "        \"education_4\",\n",
-    "        \"education_5\",\n",
-    "        \"exercise_1\",\n",
-    "        \"exercise_2\",\n",
-    "    ]\n",
-    "]\n",
-    "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
-    "X_outcome = df[\n",
-    "    [\n",
-    "        \"trt\",\n",
-    "        \"age\",\n",
-    "        \"smokeintensity\",\n",
-    "        \"smokeyrs\",\n",
-    "        \"wt71\",\n",
-    "        \"active_1\",\n",
-    "        \"active_2\",\n",
-    "        \"education_2\",\n",
-    "        \"education_3\",\n",
-    "        \"education_4\",\n",
-    "        \"education_5\",\n",
-    "        \"exercise_1\",\n",
-    "        \"exercise_2\",\n",
-    "    ]\n",
-    "]\n",
-    "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
-    "T_data = df[\"trt\"].values\n",
-    "X_outcome[\"trt\"] = T_data\n",
-    "Y_data = df[\"outcome\"].values\n",
-    "\n",
-    "new_model = make_model(X_trt, X_outcome, T_data, Y_data, coords)\n",
-    "new_model"
+    "with model_treatment:\n",
+    "    idata_treatment = pm.sample()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 222,
+   "execution_count": 315,
    "metadata": {},
    "outputs": [
     {
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-       "<title>cluster1566 x 13</title>\n",
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-       "<text text-anchor=\"middle\" x=\"438.62\" y=\"-237.93\" font-family=\"Times,serif\" font-size=\"14.00\">1566 x 13</text>\n",
+       "<title>cluster1000</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M124,-8C124,-8 214,-8 214,-8 220,-8 226,-14 226,-20 226,-20 226,-316.73 226,-316.73 226,-322.73 220,-328.73 214,-328.73 214,-328.73 124,-328.73 124,-328.73 118,-328.73 112,-322.73 112,-316.73 112,-316.73 112,-20 112,-20 112,-14 118,-8 124,-8\"/>\n",
+       "<text text-anchor=\"middle\" x=\"204.5\" y=\"-15.2\" font-family=\"Times,serif\" font-size=\"14.00\">1000</text>\n",
        "</g>\n",
        "<g id=\"clust3\" class=\"cluster\">\n",
-       "<title>cluster1566</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M160,-8C160,-8 358,-8 358,-8 364,-8 370,-14 370,-20 370,-20 370,-316.73 370,-316.73 370,-322.73 364,-328.73 358,-328.73 358,-328.73 160,-328.73 160,-328.73 154,-328.73 148,-322.73 148,-316.73 148,-316.73 148,-20 148,-20 148,-14 154,-8 160,-8\"/>\n",
-       "<text text-anchor=\"middle\" x=\"348.5\" y=\"-15.2\" font-family=\"Times,serif\" font-size=\"14.00\">1566</text>\n",
+       "<title>clusterbetas (3)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M246,-230.73C246,-230.73 328,-230.73 328,-230.73 334,-230.73 340,-236.73 340,-242.73 340,-242.73 340,-450.45 340,-450.45 340,-456.45 334,-462.45 328,-462.45 328,-462.45 246,-462.45 246,-462.45 240,-462.45 234,-456.45 234,-450.45 234,-450.45 234,-242.73 234,-242.73 234,-236.73 240,-230.73 246,-230.73\"/>\n",
+       "<text text-anchor=\"middle\" x=\"308.38\" y=\"-237.93\" font-family=\"Times,serif\" font-size=\"14.00\">betas (3)</text>\n",
        "</g>\n",
        "<g id=\"clust4\" class=\"cluster\">\n",
-       "<title>clusterbetas_trt (12)</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M98,-352.54C98,-352.54 202,-352.54 202,-352.54 208,-352.54 214,-358.54 214,-364.54 214,-364.54 214,-567.77 214,-567.77 214,-573.77 208,-579.77 202,-579.77 202,-579.77 98,-579.77 98,-579.77 92,-579.77 86,-573.77 86,-567.77 86,-567.77 86,-364.54 86,-364.54 86,-358.54 92,-352.54 98,-352.54\"/>\n",
-       "<text text-anchor=\"middle\" x=\"169.62\" y=\"-359.74\" font-family=\"Times,serif\" font-size=\"14.00\">betas_trt (12)</text>\n",
-       "</g>\n",
-       "<g id=\"clust5\" class=\"cluster\">\n",
-       "<title>clusterbetas (13)</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M494,-230.73C494,-230.73 576,-230.73 576,-230.73 582,-230.73 588,-236.73 588,-242.73 588,-242.73 588,-450.45 588,-450.45 588,-456.45 582,-462.45 576,-462.45 576,-462.45 494,-462.45 494,-462.45 488,-462.45 482,-456.45 482,-450.45 482,-450.45 482,-242.73 482,-242.73 482,-236.73 488,-230.73 494,-230.73\"/>\n",
-       "<text text-anchor=\"middle\" x=\"553\" y=\"-237.93\" font-family=\"Times,serif\" font-size=\"14.00\">betas (13)</text>\n",
-       "</g>\n",
-       "<g id=\"clust6\" class=\"cluster\">\n",
        "<title>cluster34</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M234,-340.63C234,-340.63 362,-340.63 362,-340.63 368,-340.63 374,-346.63 374,-352.63 374,-352.63 374,-450.45 374,-450.45 374,-456.45 368,-462.45 362,-462.45 362,-462.45 234,-462.45 234,-462.45 228,-462.45 222,-456.45 222,-450.45 222,-450.45 222,-352.63 222,-352.63 222,-346.63 228,-340.63 234,-340.63\"/>\n",
-       "<text text-anchor=\"middle\" x=\"359.25\" y=\"-347.83\" font-family=\"Times,serif\" font-size=\"14.00\">34</text>\n",
-       "</g>\n",
-       "<!-- X -->\n",
-       "<g id=\"node1\" class=\"node\">\n",
-       "<title>X</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M58,-442.54C58,-442.54 28,-442.54 28,-442.54 22,-442.54 16,-436.54 16,-430.54 16,-430.54 16,-397.04 16,-397.04 16,-391.04 22,-385.04 28,-385.04 28,-385.04 58,-385.04 58,-385.04 64,-385.04 70,-391.04 70,-397.04 70,-397.04 70,-430.54 70,-430.54 70,-436.54 64,-442.54 58,-442.54\"/>\n",
-       "<text text-anchor=\"middle\" x=\"43\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">X</text>\n",
-       "<text text-anchor=\"middle\" x=\"43\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"43\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
-       "</g>\n",
-       "<!-- p -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
-       "<title>p</title>\n",
-       "<polygon fill=\"none\" stroke=\"black\" points=\"246.12,-320.73 155.88,-320.73 155.88,-263.23 246.12,-263.23 246.12,-320.73\"/>\n",
-       "<text text-anchor=\"middle\" x=\"201\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">p</text>\n",
-       "<text text-anchor=\"middle\" x=\"201\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"201\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
-       "</g>\n",
-       "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
-       "<title>X&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M52.75,-384.75C59.1,-369.96 68.71,-352.48 82,-340.63 99.69,-324.86 123.26,-313.96 144.75,-306.61\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"145.54,-310.04 153.99,-303.65 143.4,-303.37 145.54,-310.04\"/>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M86,-340.63C86,-340.63 214,-340.63 214,-340.63 220,-340.63 226,-346.63 226,-352.63 226,-352.63 226,-450.45 226,-450.45 226,-456.45 220,-462.45 214,-462.45 214,-462.45 86,-462.45 86,-462.45 80,-462.45 74,-456.45 74,-450.45 74,-450.45 74,-352.63 74,-352.63 74,-346.63 80,-340.63 86,-340.63\"/>\n",
+       "<text text-anchor=\"middle\" x=\"211.25\" y=\"-347.83\" font-family=\"Times,serif\" font-size=\"14.00\">34</text>\n",
        "</g>\n",
        "<!-- X_outcome -->\n",
-       "<g id=\"node2\" class=\"node\">\n",
+       "<g id=\"node1\" class=\"node\">\n",
        "<title>X_outcome</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M453.88,-320.73C453.88,-320.73 398.12,-320.73 398.12,-320.73 392.12,-320.73 386.12,-314.73 386.12,-308.73 386.12,-308.73 386.12,-275.23 386.12,-275.23 386.12,-269.23 392.12,-263.23 398.12,-263.23 398.12,-263.23 453.88,-263.23 453.88,-263.23 459.88,-263.23 465.88,-269.23 465.88,-275.23 465.88,-275.23 465.88,-308.73 465.88,-308.73 465.88,-314.73 459.88,-320.73 453.88,-320.73\"/>\n",
-       "<text text-anchor=\"middle\" x=\"426\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">X_outcome</text>\n",
-       "<text text-anchor=\"middle\" x=\"426\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"426\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M83.88,-320.73C83.88,-320.73 28.12,-320.73 28.12,-320.73 22.12,-320.73 16.12,-314.73 16.12,-308.73 16.12,-308.73 16.12,-275.23 16.12,-275.23 16.12,-269.23 22.12,-263.23 28.12,-263.23 28.12,-263.23 83.88,-263.23 83.88,-263.23 89.88,-263.23 95.88,-269.23 95.88,-275.23 95.88,-275.23 95.88,-308.73 95.88,-308.73 95.88,-314.73 89.88,-320.73 83.88,-320.73\"/>\n",
+       "<text text-anchor=\"middle\" x=\"56\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">X_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"56\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"56\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node5\" class=\"node\">\n",
+       "<g id=\"node2\" class=\"node\">\n",
        "<title>like</title>\n",
-       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"321\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"177\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"177\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
+       "<text text-anchor=\"middle\" x=\"177\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"177\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge12\" class=\"edge\">\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
        "<title>X_outcome&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M402.23,-262.8C393.48,-252.59 383.4,-241.04 374,-230.73 368.59,-224.79 362.78,-218.59 357.06,-212.57\"/>\n",
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+       "<path fill=\"none\" stroke=\"black\" d=\"M78.28,-263.02C87.12,-252.5 97.65,-240.69 108,-230.73 116.54,-222.51 126.21,-214.24 135.55,-206.69\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"137.52,-209.6 143.18,-200.64 133.17,-204.11 137.52,-209.6\"/>\n",
        "</g>\n",
        "<!-- Y -->\n",
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-       "<title>Y</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M336,-98C336,-98 306,-98 306,-98 300,-98 294,-92 294,-86 294,-86 294,-52.5 294,-52.5 294,-46.5 300,-40.5 306,-40.5 306,-40.5 336,-40.5 336,-40.5 342,-40.5 348,-46.5 348,-52.5 348,-52.5 348,-86 348,-86 348,-92 342,-98 336,-98\"/>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"321\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
-       "</g>\n",
-       "<!-- t_pred -->\n",
        "<g id=\"node4\" class=\"node\">\n",
-       "<title>t_pred</title>\n",
-       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"203\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"203\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
-       "<text text-anchor=\"middle\" x=\"203\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"203\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
-       "</g>\n",
-       "<!-- T -->\n",
-       "<g id=\"node8\" class=\"node\">\n",
-       "<title>T</title>\n",
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-       "<text text-anchor=\"middle\" x=\"203\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">T</text>\n",
-       "<text text-anchor=\"middle\" x=\"203\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"203\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
-       "</g>\n",
-       "<!-- t_pred&#45;&gt;T -->\n",
-       "<g id=\"edge1\" class=\"edge\">\n",
-       "<title>t_pred&#45;&gt;T</title>\n",
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-       "<polygon fill=\"black\" stroke=\"black\" points=\"206.5,-109.79 203,-99.79 199.5,-109.79 206.5,-109.79\"/>\n",
+       "<title>Y</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M192,-98C192,-98 162,-98 162,-98 156,-98 150,-92 150,-86 150,-86 150,-52.5 150,-52.5 150,-46.5 156,-40.5 162,-40.5 162,-40.5 192,-40.5 192,-40.5 198,-40.5 204,-46.5 204,-52.5 204,-52.5 204,-86 204,-86 204,-92 198,-98 192,-98\"/>\n",
+       "<text text-anchor=\"middle\" x=\"177\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
+       "<text text-anchor=\"middle\" x=\"177\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"177\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- like&#45;&gt;Y -->\n",
-       "<g id=\"edge2\" class=\"edge\">\n",
+       "<g id=\"edge1\" class=\"edge\">\n",
        "<title>like&#45;&gt;Y</title>\n",
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        "<!-- spline_features -->\n",
-       "<g id=\"node6\" class=\"node\">\n",
+       "<g id=\"node3\" class=\"node\">\n",
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-       "<text text-anchor=\"middle\" x=\"313\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
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+       "<text text-anchor=\"middle\" x=\"169\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">spline_features</text>\n",
+       "<text text-anchor=\"middle\" x=\"169\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"169\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
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        "<!-- spline_features&#45;&gt;like -->\n",
-       "<g id=\"edge11\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>spline_features&#45;&gt;like</title>\n",
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-       "<title>p&#45;&gt;t_pred</title>\n",
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-       "<title>p&#45;&gt;like</title>\n",
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-       "<title>beta_trt_&#45;&gt;p</title>\n",
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-       "<title>beta_trt_std</title>\n",
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-       "<title>beta_trt_std&#45;&gt;beta_trt_</title>\n",
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        "<!-- beta_ -->\n",
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+       "<g id=\"node5\" class=\"node\">\n",
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-       "<text text-anchor=\"middle\" x=\"535\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
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+       "<text text-anchor=\"middle\" x=\"287\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"287\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge14\" class=\"edge\">\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
        "<title>beta_&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M513.5,-262.95C503.68,-251.68 491.29,-239.34 478,-230.73 445.59,-209.71 404.2,-195.62 372.05,-186.96\"/>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"215.61,-210.64 206.15,-205.86 210.56,-215.49 215.61,-210.64\"/>\n",
        "</g>\n",
        "<!-- beta_std -->\n",
-       "<g id=\"node12\" class=\"node\">\n",
+       "<g id=\"node6\" class=\"node\">\n",
        "<title>beta_std</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"535\" cy=\"-413.79\" rx=\"43.13\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"535\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_std</text>\n",
-       "<text text-anchor=\"middle\" x=\"535\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"535\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"287\" cy=\"-413.79\" rx=\"43.13\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"287\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_std</text>\n",
+       "<text text-anchor=\"middle\" x=\"287\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"287\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- beta_std&#45;&gt;beta_ -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
        "<title>beta_std&#45;&gt;beta_</title>\n",
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-       "<polygon fill=\"black\" stroke=\"black\" points=\"538.5,-332.48 535,-322.48 531.5,-332.48 538.5,-332.48\"/>\n",
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        "</g>\n",
        "<!-- beta_ps_spline -->\n",
-       "<g id=\"node13\" class=\"node\">\n",
+       "<g id=\"node7\" class=\"node\">\n",
        "<title>beta_ps_spline</title>\n",
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-       "<text text-anchor=\"middle\" x=\"298\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"150\" cy=\"-413.79\" rx=\"68.06\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"150\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps_spline</text>\n",
+       "<text text-anchor=\"middle\" x=\"150\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "<!-- beta_ps_spline&#45;&gt;spline_features -->\n",
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-       "<title>beta_ps_spline&#45;&gt;spline_features</title>\n",
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+       "<g id=\"edge3\" class=\"edge\">\n",
+       "<title>beta_ps_spline&#45;&gt;spline_features</title>\n",
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        "</g>\n",
        "<!-- sigma -->\n",
-       "<g id=\"node14\" class=\"node\">\n",
+       "<g id=\"node8\" class=\"node\">\n",
        "<title>sigma</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"814\" cy=\"-291.98\" rx=\"57.98\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"814\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
-       "<text text-anchor=\"middle\" x=\"814\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"814\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"408\" cy=\"-291.98\" rx=\"57.98\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"408\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text text-anchor=\"middle\" x=\"408\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "</g>\n",
        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge10\" class=\"edge\">\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
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        "</g>\n",
        "<!-- beta_ps -->\n",
-       "<g id=\"node15\" class=\"node\">\n",
+       "<g id=\"node9\" class=\"node\">\n",
        "<title>beta_ps</title>\n",
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-       "<text text-anchor=\"middle\" x=\"931\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text text-anchor=\"middle\" x=\"931\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
-       "</g>\n",
-       "<!-- beta_ps&#45;&gt;like -->\n",
-       "<g id=\"edge15\" class=\"edge\">\n",
-       "<title>beta_ps&#45;&gt;like</title>\n",
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+       "<text text-anchor=\"middle\" x=\"389\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"389\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_outcome -->\n",
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+       "<g id=\"node10\" class=\"node\">\n",
        "<title>alpha_outcome</title>\n",
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-       "<text text-anchor=\"middle\" x=\"668\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"554\" cy=\"-291.98\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text text-anchor=\"middle\" x=\"554\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text text-anchor=\"middle\" x=\"554\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text text-anchor=\"middle\" x=\"554\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge16\" class=\"edge\">\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
        "<title>alpha_outcome&#45;&gt;like</title>\n",
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-       "</g>\n",
-       "<!-- alpha_trt -->\n",
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-       "<title>alpha_trt</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"429\" cy=\"-413.79\" rx=\"45.25\" ry=\"40.66\"/>\n",
-       "<text text-anchor=\"middle\" x=\"429\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
-       "<text text-anchor=\"middle\" x=\"429\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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-       "</g>\n",
-       "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
-       "<title>alpha_trt&#45;&gt;p</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M411.84,-376.06C403.58,-362.57 392.32,-348.65 378,-340.63 354.1,-327.26 280.74,-342.01 255,-332.63 250.88,-331.13 246.79,-329.21 242.83,-327.03\"/>\n",
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        "</g>\n",
        "</g>\n",
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x34b976fe0>"
+       "<graphviz.graphs.Digraph at 0x32c3922f0>"
+      ]
+     },
+     "execution_count": 315,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model_outcome = make_outcome_model(\n",
+    "    X_outcome, Y_data, coords, propensity_score_idata=idata_treatment\n",
+    ")\n",
+    "pm.model_to_graphviz(model_outcome)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 316,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_std, beta_ps_spline, beta_ps, alpha_outcome, sigma]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a07f62f995314c79af83505fa314ea4c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 7 seconds.\n"
+     ]
+    }
+   ],
+   "source": [
+    "with model_outcome:\n",
+    "    idata_outcome = pm.sample()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 317,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>1.980</td>\n",
+       "      <td>0.079</td>\n",
+       "      <td>1.831</td>\n",
+       "      <td>2.123</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>6790.0</td>\n",
+       "      <td>3176.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x1]</th>\n",
+       "      <td>0.974</td>\n",
+       "      <td>0.049</td>\n",
+       "      <td>0.879</td>\n",
+       "      <td>1.060</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2177.0</td>\n",
+       "      <td>2267.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x2]</th>\n",
+       "      <td>1.016</td>\n",
+       "      <td>0.116</td>\n",
+       "      <td>0.780</td>\n",
+       "      <td>1.224</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>1661.0</td>\n",
+       "      <td>2262.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "beta_[trt]  1.980  0.079   1.831    2.123      0.001    0.001    6790.0   \n",
+       "beta_[x1]   0.974  0.049   0.879    1.060      0.001    0.001    2177.0   \n",
+       "beta_[x2]   1.016  0.116   0.780    1.224      0.003    0.002    1661.0   \n",
+       "\n",
+       "            ess_tail  r_hat  \n",
+       "beta_[trt]    3176.0    1.0  \n",
+       "beta_[x1]     2267.0    1.0  \n",
+       "beta_[x2]     2262.0    1.0  "
+      ]
+     },
+     "execution_count": 317,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(idata_outcome, var_names=[\"beta_\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Running Joint Distribution Models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 246,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [alpha_outcome, alpha_trt, beta_ps, beta_ps_spline, beta_std, beta_trt_std, like, sigma, t_pred]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "79fd84e09e7040df9925a6f01b893a04",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3000 [00:01<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "40fe96bcc004491aab5704cd9495b4a6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ee15ad7b9f244695925ac3bf5c6d84a3",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c9647fae91384952a0921942477ff653",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/3000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with model:\n",
+    "    idata = pm.sample_prior_predictive()\n",
+    "    idata.extend(pm.sample(tune=2000, target_accept=0.95, nuts_sampler=\"numpyro\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 247,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-1.075</td>\n",
+       "      <td>0.131</td>\n",
+       "      <td>-1.327</td>\n",
+       "      <td>-0.840</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3854.0</td>\n",
+       "      <td>2994.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[x1]</th>\n",
+       "      <td>0.520</td>\n",
+       "      <td>0.081</td>\n",
+       "      <td>0.368</td>\n",
+       "      <td>0.670</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4838.0</td>\n",
+       "      <td>3289.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_trt_[x2]</th>\n",
+       "      <td>1.324</td>\n",
+       "      <td>0.133</td>\n",
+       "      <td>1.069</td>\n",
+       "      <td>1.569</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3312.0</td>\n",
+       "      <td>2772.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>4.225</td>\n",
+       "      <td>0.126</td>\n",
+       "      <td>3.996</td>\n",
+       "      <td>4.470</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2476.0</td>\n",
+       "      <td>2470.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>1.822</td>\n",
+       "      <td>0.084</td>\n",
+       "      <td>1.671</td>\n",
+       "      <td>1.985</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>5440.0</td>\n",
+       "      <td>3120.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x1]</th>\n",
+       "      <td>1.090</td>\n",
+       "      <td>0.044</td>\n",
+       "      <td>1.009</td>\n",
+       "      <td>1.171</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3610.0</td>\n",
+       "      <td>3085.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x2]</th>\n",
+       "      <td>0.971</td>\n",
+       "      <td>0.083</td>\n",
+       "      <td>0.820</td>\n",
+       "      <td>1.129</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3130.0</td>\n",
+       "      <td>3196.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-0.187</td>\n",
+       "      <td>0.385</td>\n",
+       "      <td>-0.906</td>\n",
+       "      <td>0.523</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2247.0</td>\n",
+       "      <td>2436.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "alpha_trt     -1.075  0.131  -1.327   -0.840      0.002    0.002    3854.0   \n",
+       "beta_trt_[x1]  0.520  0.081   0.368    0.670      0.001    0.001    4838.0   \n",
+       "beta_trt_[x2]  1.324  0.133   1.069    1.569      0.002    0.002    3312.0   \n",
+       "alpha_outcome  4.225  0.126   3.996    4.470      0.003    0.002    2476.0   \n",
+       "beta_[trt]     1.822  0.084   1.671    1.985      0.001    0.001    5440.0   \n",
+       "beta_[x1]      1.090  0.044   1.009    1.171      0.001    0.001    3610.0   \n",
+       "beta_[x2]      0.971  0.083   0.820    1.129      0.001    0.001    3130.0   \n",
+       "beta_ps       -0.187  0.385  -0.906    0.523      0.008    0.006    2247.0   \n",
+       "\n",
+       "               ess_tail  r_hat  \n",
+       "alpha_trt        2994.0    1.0  \n",
+       "beta_trt_[x1]    3289.0    1.0  \n",
+       "beta_trt_[x2]    2772.0    1.0  \n",
+       "alpha_outcome    2470.0    1.0  \n",
+       "beta_[trt]       3120.0    1.0  \n",
+       "beta_[x1]        3085.0    1.0  \n",
+       "beta_[x2]        3196.0    1.0  \n",
+       "beta_ps          2436.0    1.0  "
+      ]
+     },
+     "execution_count": 247,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(\n",
+    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_outcome_trt = X_outcome.copy()\n",
+    "X_outcome_trt[:, 0] = 1\n",
+    "\n",
+    "X_outcome_ntrt = X_outcome.copy()\n",
+    "X_outcome_ntrt[:, 0] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 195,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "56eeb69cebd442c9bbe7d9a65697478d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "8dfe79e876a24e3ebe982422269986e0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with pm.do(\n",
+    "    model,\n",
+    "    {\"T\": np.ones(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
+    "    prune_vars=True,\n",
+    ") as treatment_model:\n",
+    "    idata_trt = pm.sample_posterior_predictive(idata, var_names=[\"like\", \"p\"])\n",
+    "\n",
+    "with pm.do(\n",
+    "    model,\n",
+    "    {\"T\": np.zeros(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
+    "    prune_vars=True,\n",
+    ") as ntreatment_model:\n",
+    "    idata_ntrt = pm.sample_posterior_predictive(idata, var_names=[\"like\", \"p\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 196,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<defs>\n",
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+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
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+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1f1f1f;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
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+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
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+       "\n",
+       ".xr-section-summary,\n",
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+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
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+       ".xr-array-in:checked ~ .xr-array-preview {\n",
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+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
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+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
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+       ".xr-var-item label,\n",
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+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(7.38106334)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e07968f3-ecbf-41d2-97d3-6fc0826783e0' class='xr-array-in' type='checkbox' checked><label for='section-e07968f3-ecbf-41d2-97d3-6fc0826783e0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.381</span></div><div class='xr-array-data'><pre>array(7.38106334)</pre></div></div></li><li class='xr-section-item'><input id='section-3789f021-7111-43db-99d2-7d62b465ec81' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3789f021-7111-43db-99d2-7d62b465ec81' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-59f8a8b2-ded1-429e-b1f2-a6b5537783ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59f8a8b2-ded1-429e-b1f2-a6b5537783ce' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c401956c-7863-40ee-a43c-f21fef6a7402' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c401956c-7863-40ee-a43c-f21fef6a7402' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(7.38106334)"
+      ]
+     },
+     "execution_count": 196,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "idata_trt[\"posterior_predictive\"][\"like\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 197,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
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+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
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+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1f1f1f;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
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+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(5.41605235)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f3ead9b2-8f79-4124-98b9-f465f0729d43' class='xr-array-in' type='checkbox' checked><label for='section-f3ead9b2-8f79-4124-98b9-f465f0729d43' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.416</span></div><div class='xr-array-data'><pre>array(5.41605235)</pre></div></div></li><li class='xr-section-item'><input id='section-11243071-1f2d-4906-a7ff-9e0e5ec1bbf8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11243071-1f2d-4906-a7ff-9e0e5ec1bbf8' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-97dd01ce-f2cf-45c1-82b2-0b6caeefa29c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97dd01ce-f2cf-45c1-82b2-0b6caeefa29c' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-135e8375-256c-4b07-8189-6c8f8667cd35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-135e8375-256c-4b07-8189-6c8f8667cd35' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(5.41605235)"
+      ]
+     },
+     "execution_count": 197,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "idata_ntrt[\"posterior_predictive\"][\"like\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 198,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  font-size: 11px;\n",
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+       "\n",
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+       "  color: var(--xr-disabled-color);\n",
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+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
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+       "  padding: 0 5px !important;\n",
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+       "\n",
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+       "  display: none;\n",
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+       ".xr-dim-list li:not(:last-child):after {\n",
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+       "\n",
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+       ".xr-var-item label,\n",
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+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
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+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(1.96501099)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-57a243a9-3fc5-4208-82ad-b23c2240609b' class='xr-array-in' type='checkbox' checked><label for='section-57a243a9-3fc5-4208-82ad-b23c2240609b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.965</span></div><div class='xr-array-data'><pre>array(1.96501099)</pre></div></div></li><li class='xr-section-item'><input id='section-582291bf-8f88-474e-8e8e-d4d5d5e3abe7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-582291bf-8f88-474e-8e8e-d4d5d5e3abe7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f99df214-9a86-4984-a146-db7eb3a07cf4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f99df214-9a86-4984-a146-db7eb3a07cf4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4f594beb-cbb6-4207-8cf7-641c27424705' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f594beb-cbb6-4207-8cf7-641c27424705' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(1.96501099)"
+      ]
+     },
+     "execution_count": 198,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(\n",
+    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
+    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Nets Example\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 346,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>net</th>\n",
+       "      <th>net_num</th>\n",
+       "      <th>malaria_risk</th>\n",
+       "      <th>income</th>\n",
+       "      <th>health</th>\n",
+       "      <th>household</th>\n",
+       "      <th>eligible</th>\n",
+       "      <th>temperature</th>\n",
+       "      <th>resistance</th>\n",
+       "      <th>trt</th>\n",
+       "      <th>outcome</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1</td>\n",
+       "      <td>33</td>\n",
+       "      <td>781</td>\n",
+       "      <td>56</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>21.1</td>\n",
+       "      <td>59</td>\n",
+       "      <td>1</td>\n",
+       "      <td>33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>974</td>\n",
+       "      <td>57</td>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>26.5</td>\n",
+       "      <td>73</td>\n",
+       "      <td>0</td>\n",
+       "      <td>42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>80</td>\n",
+       "      <td>502</td>\n",
+       "      <td>15</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>25.6</td>\n",
+       "      <td>65</td>\n",
+       "      <td>0</td>\n",
+       "      <td>80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1</td>\n",
+       "      <td>34</td>\n",
+       "      <td>671</td>\n",
+       "      <td>20</td>\n",
+       "      <td>5</td>\n",
+       "      <td>True</td>\n",
+       "      <td>21.3</td>\n",
+       "      <td>46</td>\n",
+       "      <td>1</td>\n",
+       "      <td>34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>44</td>\n",
+       "      <td>728</td>\n",
+       "      <td>17</td>\n",
+       "      <td>5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>19.2</td>\n",
+       "      <td>54</td>\n",
+       "      <td>0</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1747</th>\n",
+       "      <td>1748</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "      <td>961</td>\n",
+       "      <td>27</td>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>22.1</td>\n",
+       "      <td>27</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1748</th>\n",
+       "      <td>1749</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>49</td>\n",
+       "      <td>906</td>\n",
+       "      <td>49</td>\n",
+       "      <td>5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>30.7</td>\n",
+       "      <td>55</td>\n",
+       "      <td>0</td>\n",
+       "      <td>49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1749</th>\n",
+       "      <td>1750</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1325</td>\n",
+       "      <td>92</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>21.4</td>\n",
+       "      <td>52</td>\n",
+       "      <td>0</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1750</th>\n",
+       "      <td>1751</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>46</td>\n",
+       "      <td>879</td>\n",
+       "      <td>33</td>\n",
+       "      <td>6</td>\n",
+       "      <td>False</td>\n",
+       "      <td>27.4</td>\n",
+       "      <td>62</td>\n",
+       "      <td>0</td>\n",
+       "      <td>46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1751</th>\n",
+       "      <td>1752</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13</td>\n",
+       "      <td>1339</td>\n",
+       "      <td>77</td>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>27.7</td>\n",
+       "      <td>44</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1752 rows × 12 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        id    net  net_num  malaria_risk  income  health  household  eligible  \\\n",
+       "0        1   True        1            33     781      56          2     False   \n",
+       "1        2  False        0            42     974      57          4     False   \n",
+       "2        3  False        0            80     502      15          3     False   \n",
+       "3        4   True        1            34     671      20          5      True   \n",
+       "4        5  False        0            44     728      17          5     False   \n",
+       "...    ...    ...      ...           ...     ...     ...        ...       ...   \n",
+       "1747  1748   True        1            18     961      27          4     False   \n",
+       "1748  1749  False        0            49     906      49          5     False   \n",
+       "1749  1750  False        0            17    1325      92          2     False   \n",
+       "1750  1751  False        0            46     879      33          6     False   \n",
+       "1751  1752   True        1            13    1339      77          4     False   \n",
+       "\n",
+       "      temperature  resistance  trt  outcome  \n",
+       "0            21.1          59    1       33  \n",
+       "1            26.5          73    0       42  \n",
+       "2            25.6          65    0       80  \n",
+       "3            21.3          46    1       34  \n",
+       "4            19.2          54    0       44  \n",
+       "...           ...         ...  ...      ...  \n",
+       "1747         22.1          27    1       18  \n",
+       "1748         30.7          55    0       49  \n",
+       "1749         21.4          52    0       17  \n",
+       "1750         27.4          62    0       46  \n",
+       "1751         27.7          44    1       13  \n",
+       "\n",
+       "[1752 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 346,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nets_df = pd.read_csv(\"../../../causalpy/data/nets_df.csv\")\n",
+    "nets_df[\"trt\"] = nets_df[\"net_num\"]\n",
+    "nets_df[\"outcome\"] = nets_df[\"malaria_risk\"]\n",
+    "nets_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 347,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n",
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_std, beta_std, beta_ps_spline, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "175d65bcaa6f47e69821ae10e3be5499",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 25 seconds.\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n",
+      "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_std, alpha_trt]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "02e60b728832463a9e1a7e4b1b7ed070",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_std, beta_ps_spline, beta_ps, alpha_outcome, sigma]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "34babc2596f7463b9501d410c48fc801",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 5 seconds.\n"
+     ]
+    }
+   ],
+   "source": [
+    "coords = {\n",
+    "    \"betas\": [\"trt\", \"income\", \"temperature\", \"health\"],\n",
+    "    \"betas_trt\": [\"income\", \"temperature\", \"health\"],\n",
+    "    \"obs\": range(nets_df.shape[0]),\n",
+    "}\n",
+    "\n",
+    "N = nets_df.shape[0]\n",
+    "X_trt = nets_df[[\"income\", \"temperature\", \"health\"]].values\n",
+    "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
+    "X_outcome = nets_df[[\"trt\", \"income\", \"temperature\", \"health\"]].values\n",
+    "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
+    "T_data = nets_df[\"trt\"].values\n",
+    "X_outcome[:, 0] = T_data\n",
+    "Y_data = nets_df[\"outcome\"].values\n",
+    "\n",
+    "priors = {\n",
+    "    \"beta_\": [0, 1],\n",
+    "    \"beta_trt\": [0, 1],\n",
+    "    \"alpha_trt\": [0, 1],\n",
+    "    \"alpha_outcome\": [40, 30],\n",
+    "}\n",
+    "net_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
+    "\n",
+    "with net_model:\n",
+    "    idata_net = pm.sample(tune=2000, target_accept=0.98)\n",
+    "\n",
+    "idata_treatment_2s_net, idata_outcome_2s_net, treatment_model_net, outcome_model_net = (\n",
+    "    make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 349,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([<Axes: title={'center': '94.0% HDI'}>], dtype=object)"
+      ]
+     },
+     "execution_count": 349,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x580 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_forest(\n",
+    "    [idata_outcome_2s_net, idata_net],\n",
+    "    var_names=[\"beta_\"],\n",
+    "    model_names=[\"2 Stage\", \"1 Stage\"],\n",
+    "    combined=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 348,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-0.483</td>\n",
+       "      <td>0.052</td>\n",
+       "      <td>-0.582</td>\n",
+       "      <td>-0.391</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4770.0</td>\n",
+       "      <td>3146.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>-9.858</td>\n",
+       "      <td>0.257</td>\n",
+       "      <td>-10.346</td>\n",
+       "      <td>-9.393</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4654.0</td>\n",
+       "      <td>3105.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[income]</th>\n",
+       "      <td>-13.665</td>\n",
+       "      <td>0.213</td>\n",
+       "      <td>-14.080</td>\n",
+       "      <td>-13.279</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>2446.0</td>\n",
+       "      <td>2938.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[temperature]</th>\n",
+       "      <td>4.096</td>\n",
+       "      <td>0.139</td>\n",
+       "      <td>3.818</td>\n",
+       "      <td>4.345</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3299.0</td>\n",
+       "      <td>2774.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[health]</th>\n",
+       "      <td>2.210</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>1.853</td>\n",
+       "      <td>2.577</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3634.0</td>\n",
+       "      <td>3142.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>0.117</td>\n",
+       "      <td>1.048</td>\n",
+       "      <td>-1.791</td>\n",
+       "      <td>2.195</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>1967.0</td>\n",
+       "      <td>2576.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>39.379</td>\n",
+       "      <td>0.444</td>\n",
+       "      <td>38.574</td>\n",
+       "      <td>40.239</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>2001.0</td>\n",
+       "      <td>2518.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"6\" valign=\"top\">2-stage-model</th>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>-10.615</td>\n",
+       "      <td>0.208</td>\n",
+       "      <td>-10.994</td>\n",
+       "      <td>-10.230</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>7854.0</td>\n",
+       "      <td>2793.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[income]</th>\n",
+       "      <td>-12.977</td>\n",
+       "      <td>0.206</td>\n",
+       "      <td>-13.383</td>\n",
+       "      <td>-12.620</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4387.0</td>\n",
+       "      <td>2910.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[temperature]</th>\n",
+       "      <td>3.685</td>\n",
+       "      <td>0.127</td>\n",
+       "      <td>3.457</td>\n",
+       "      <td>3.927</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4956.0</td>\n",
+       "      <td>3533.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[health]</th>\n",
+       "      <td>2.399</td>\n",
+       "      <td>0.152</td>\n",
+       "      <td>2.112</td>\n",
+       "      <td>2.676</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>7140.0</td>\n",
+       "      <td>2816.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-0.005</td>\n",
+       "      <td>0.992</td>\n",
+       "      <td>-1.830</td>\n",
+       "      <td>1.840</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>8128.0</td>\n",
+       "      <td>3041.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>41.782</td>\n",
+       "      <td>0.298</td>\n",
+       "      <td>41.211</td>\n",
+       "      <td>42.337</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3491.0</td>\n",
+       "      <td>2616.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                    mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
+       "1-stage-model alpha_trt           -0.483  0.052  -0.582   -0.391      0.001   \n",
+       "              beta_[trt]          -9.858  0.257 -10.346   -9.393      0.004   \n",
+       "              beta_[income]      -13.665  0.213 -14.080  -13.279      0.004   \n",
+       "              beta_[temperature]   4.096  0.139   3.818    4.345      0.002   \n",
+       "              beta_[health]        2.210  0.192   1.853    2.577      0.003   \n",
+       "              beta_ps              0.117  1.048  -1.791    2.195      0.024   \n",
+       "              alpha_outcome       39.379  0.444  38.574   40.239      0.010   \n",
+       "2-stage-model beta_[trt]         -10.615  0.208 -10.994  -10.230      0.002   \n",
+       "              beta_[income]      -12.977  0.206 -13.383  -12.620      0.003   \n",
+       "              beta_[temperature]   3.685  0.127   3.457    3.927      0.002   \n",
+       "              beta_[health]        2.399  0.152   2.112    2.676      0.002   \n",
+       "              beta_ps             -0.005  0.992  -1.830    1.840      0.011   \n",
+       "              alpha_outcome       41.782  0.298  41.211   42.337      0.005   \n",
+       "\n",
+       "                                  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
+       "1-stage-model alpha_trt             0.001    4770.0    3146.0    1.0  \n",
+       "              beta_[trt]            0.003    4654.0    3105.0    1.0  \n",
+       "              beta_[income]         0.003    2446.0    2938.0    1.0  \n",
+       "              beta_[temperature]    0.002    3299.0    2774.0    1.0  \n",
+       "              beta_[health]         0.002    3634.0    3142.0    1.0  \n",
+       "              beta_ps               0.017    1967.0    2576.0    1.0  \n",
+       "              alpha_outcome         0.007    2001.0    2518.0    1.0  \n",
+       "2-stage-model beta_[trt]            0.002    7854.0    2793.0    1.0  \n",
+       "              beta_[income]         0.002    4387.0    2910.0    1.0  \n",
+       "              beta_[temperature]    0.001    4956.0    3533.0    1.0  \n",
+       "              beta_[health]         0.001    7140.0    2816.0    1.0  \n",
+       "              beta_ps               0.016    8128.0    3041.0    1.0  \n",
+       "              alpha_outcome         0.004    3491.0    2616.0    1.0  "
+      ]
+     },
+     "execution_count": 348,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "compare_estimate = pd.concat(\n",
+    "    {\n",
+    "        \"1-stage-model\": az.summary(\n",
+    "            idata_net, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "        \"2-stage-model\": az.summary(\n",
+    "            idata_outcome_2s_net, var_names=[\"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "    }\n",
+    ")\n",
+    "compare_estimate"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## LaLonde Example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 350,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lalonde = pd.read_csv(\n",
+    "    \"https://vincentarelbundock.github.io/Rdatasets/csv/MatchIt/lalonde.csv\"\n",
+    ")\n",
+    "lalonde[[\"hispan\", \"white\"]] = pd.get_dummies(lalonde[\"race\"], drop_first=True)\n",
+    "lalonde.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 351,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from matplotlib import pyplot as plt\n",
+    "\n",
+    "plt.hist(lalonde[\"re78\"], bins=30, alpha=0.5, ec=\"black\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 352,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "treat\n",
+       "0    6984.169742\n",
+       "1    6349.143530\n",
+       "Name: re78, dtype: float64"
+      ]
+     },
+     "execution_count": 352,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lalonde.groupby(\"treat\")[\"re78\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 361,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "82640eaf77f3402583d40055965844c6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/6000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1c7262124025443984d6dd746277bd86",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/6000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "43a3715553384a778067e5f215d18bcf",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/6000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "449c7b54583d4aca9643733104d62b15",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/6000 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n",
+      "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_std, alpha_trt]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "22fbd4f65d824b67b0b72eca9106ea27",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 5 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_std, beta_ps_spline, beta_ps, alpha_outcome, sigma]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4bed0a7281cc43999e5a9bca7a15057c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 22 seconds.\n"
+     ]
+    }
+   ],
+   "source": [
+    "coords = {\n",
+    "    \"betas\": [\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
+    "    \"betas_trt\": [\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
+    "    \"obs\": range(lalonde.shape[0]),\n",
+    "}\n",
+    "\n",
+    "N = lalonde.shape[0]\n",
+    "X_trt = (\n",
+    "    lalonde[[\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
+    "    .astype(np.int32)\n",
+    "    .values\n",
+    ")\n",
+    "\n",
+    "X_outcome = (\n",
+    "    lalonde[[\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
+    "    .astype(np.int32)\n",
+    "    .values\n",
+    ")\n",
+    "T_data = lalonde[\"treat\"].values\n",
+    "Y_data = lalonde[\"re78\"].values\n",
+    "\n",
+    "\n",
+    "priors = {\n",
+    "    \"beta_\": [0, 4000],\n",
+    "    \"beta_trt\": [0, 1],\n",
+    "    \"alpha_trt\": [0, 1],\n",
+    "    \"alpha_outcome\": [2000, 500],\n",
+    "}\n",
+    "\n",
+    "lalonde_model = make_model(\n",
+    "    X_trt, X_outcome, T_data, Y_data, coords, priors, noncentred=False\n",
+    ")\n",
+    "\n",
+    "with lalonde_model:\n",
+    "    idata_lalonde = pm.sample(tune=5000, nuts_sampler=\"numpyro\")\n",
+    "\n",
+    "(\n",
+    "    idata_treatment_2s_lalonde,\n",
+    "    idata_outcome_2s_lalonde,\n",
+    "    treatment_model_lalonde,\n",
+    "    outcome_model_lalonde,\n",
+    ") = make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 362,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"10\" valign=\"top\">1-stage-model</th>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-0.778</td>\n",
+       "      <td>0.665</td>\n",
+       "      <td>-1.957</td>\n",
+       "      <td>0.533</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>2993.0</td>\n",
+       "      <td>2796.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[treat]</th>\n",
+       "      <td>1150.855</td>\n",
+       "      <td>46.722</td>\n",
+       "      <td>1065.370</td>\n",
+       "      <td>1241.935</td>\n",
+       "      <td>0.756</td>\n",
+       "      <td>0.536</td>\n",
+       "      <td>3830.0</td>\n",
+       "      <td>2796.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>53.622</td>\n",
+       "      <td>1.911</td>\n",
+       "      <td>49.972</td>\n",
+       "      <td>57.117</td>\n",
+       "      <td>0.027</td>\n",
+       "      <td>0.019</td>\n",
+       "      <td>5058.0</td>\n",
+       "      <td>3064.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[educ]</th>\n",
+       "      <td>505.376</td>\n",
+       "      <td>9.528</td>\n",
+       "      <td>488.481</td>\n",
+       "      <td>524.327</td>\n",
+       "      <td>0.180</td>\n",
+       "      <td>0.128</td>\n",
+       "      <td>2792.0</td>\n",
+       "      <td>2713.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[hispan]</th>\n",
+       "      <td>2136.946</td>\n",
+       "      <td>62.119</td>\n",
+       "      <td>2023.807</td>\n",
+       "      <td>2253.300</td>\n",
+       "      <td>1.020</td>\n",
+       "      <td>0.722</td>\n",
+       "      <td>3713.0</td>\n",
+       "      <td>2931.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[white]</th>\n",
+       "      <td>1518.442</td>\n",
+       "      <td>47.207</td>\n",
+       "      <td>1433.465</td>\n",
+       "      <td>1608.801</td>\n",
+       "      <td>0.788</td>\n",
+       "      <td>0.559</td>\n",
+       "      <td>3605.0</td>\n",
+       "      <td>2730.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[married]</th>\n",
+       "      <td>2135.800</td>\n",
+       "      <td>38.755</td>\n",
+       "      <td>2065.817</td>\n",
+       "      <td>2210.914</td>\n",
+       "      <td>0.528</td>\n",
+       "      <td>0.374</td>\n",
+       "      <td>5393.0</td>\n",
+       "      <td>3293.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[nodegree]</th>\n",
+       "      <td>-129.019</td>\n",
+       "      <td>51.408</td>\n",
+       "      <td>-226.779</td>\n",
+       "      <td>-33.858</td>\n",
+       "      <td>0.926</td>\n",
+       "      <td>0.655</td>\n",
+       "      <td>3081.0</td>\n",
+       "      <td>2898.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>0.012</td>\n",
+       "      <td>1.001</td>\n",
+       "      <td>-1.830</td>\n",
+       "      <td>1.905</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>6257.0</td>\n",
+       "      <td>3009.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>-2002.121</td>\n",
+       "      <td>146.600</td>\n",
+       "      <td>-2261.369</td>\n",
+       "      <td>-1725.481</td>\n",
+       "      <td>2.895</td>\n",
+       "      <td>2.054</td>\n",
+       "      <td>2562.0</td>\n",
+       "      <td>2617.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"9\" valign=\"top\">2-stage-model</th>\n",
+       "      <th>beta_[treat]</th>\n",
+       "      <td>1150.679</td>\n",
+       "      <td>48.381</td>\n",
+       "      <td>1057.253</td>\n",
+       "      <td>1237.195</td>\n",
+       "      <td>0.737</td>\n",
+       "      <td>0.522</td>\n",
+       "      <td>4327.0</td>\n",
+       "      <td>2927.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>53.672</td>\n",
+       "      <td>1.960</td>\n",
+       "      <td>49.744</td>\n",
+       "      <td>57.069</td>\n",
+       "      <td>0.027</td>\n",
+       "      <td>0.019</td>\n",
+       "      <td>5255.0</td>\n",
+       "      <td>3146.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[educ]</th>\n",
+       "      <td>505.445</td>\n",
+       "      <td>9.503</td>\n",
+       "      <td>486.808</td>\n",
+       "      <td>522.657</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>0.137</td>\n",
+       "      <td>2424.0</td>\n",
+       "      <td>2663.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[hispan]</th>\n",
+       "      <td>2138.067</td>\n",
+       "      <td>60.286</td>\n",
+       "      <td>2023.502</td>\n",
+       "      <td>2249.702</td>\n",
+       "      <td>0.908</td>\n",
+       "      <td>0.644</td>\n",
+       "      <td>4418.0</td>\n",
+       "      <td>2793.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[white]</th>\n",
+       "      <td>1519.274</td>\n",
+       "      <td>45.959</td>\n",
+       "      <td>1431.339</td>\n",
+       "      <td>1603.639</td>\n",
+       "      <td>0.747</td>\n",
+       "      <td>0.530</td>\n",
+       "      <td>3796.0</td>\n",
+       "      <td>3442.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[married]</th>\n",
+       "      <td>2134.052</td>\n",
+       "      <td>39.245</td>\n",
+       "      <td>2061.698</td>\n",
+       "      <td>2207.319</td>\n",
+       "      <td>0.491</td>\n",
+       "      <td>0.347</td>\n",
+       "      <td>6358.0</td>\n",
+       "      <td>3014.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[nodegree]</th>\n",
+       "      <td>-128.707</td>\n",
+       "      <td>51.636</td>\n",
+       "      <td>-229.548</td>\n",
+       "      <td>-36.018</td>\n",
+       "      <td>0.983</td>\n",
+       "      <td>0.704</td>\n",
+       "      <td>2762.0</td>\n",
+       "      <td>2884.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-0.001</td>\n",
+       "      <td>0.970</td>\n",
+       "      <td>-1.763</td>\n",
+       "      <td>1.827</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>8043.0</td>\n",
+       "      <td>2976.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>-2004.141</td>\n",
+       "      <td>144.361</td>\n",
+       "      <td>-2280.690</td>\n",
+       "      <td>-1747.467</td>\n",
+       "      <td>3.096</td>\n",
+       "      <td>2.190</td>\n",
+       "      <td>2179.0</td>\n",
+       "      <td>2345.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                   mean       sd    hdi_3%   hdi_97%  \\\n",
+       "1-stage-model alpha_trt          -0.778    0.665    -1.957     0.533   \n",
+       "              beta_[treat]     1150.855   46.722  1065.370  1241.935   \n",
+       "              beta_[age]         53.622    1.911    49.972    57.117   \n",
+       "              beta_[educ]       505.376    9.528   488.481   524.327   \n",
+       "              beta_[hispan]    2136.946   62.119  2023.807  2253.300   \n",
+       "              beta_[white]     1518.442   47.207  1433.465  1608.801   \n",
+       "              beta_[married]   2135.800   38.755  2065.817  2210.914   \n",
+       "              beta_[nodegree]  -129.019   51.408  -226.779   -33.858   \n",
+       "              beta_ps             0.012    1.001    -1.830     1.905   \n",
+       "              alpha_outcome   -2002.121  146.600 -2261.369 -1725.481   \n",
+       "2-stage-model beta_[treat]     1150.679   48.381  1057.253  1237.195   \n",
+       "              beta_[age]         53.672    1.960    49.744    57.069   \n",
+       "              beta_[educ]       505.445    9.503   486.808   522.657   \n",
+       "              beta_[hispan]    2138.067   60.286  2023.502  2249.702   \n",
+       "              beta_[white]     1519.274   45.959  1431.339  1603.639   \n",
+       "              beta_[married]   2134.052   39.245  2061.698  2207.319   \n",
+       "              beta_[nodegree]  -128.707   51.636  -229.548   -36.018   \n",
+       "              beta_ps            -0.001    0.970    -1.763     1.827   \n",
+       "              alpha_outcome   -2004.141  144.361 -2280.690 -1747.467   \n",
+       "\n",
+       "                               mcse_mean  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
+       "1-stage-model alpha_trt            0.012    0.009    2993.0    2796.0    1.0  \n",
+       "              beta_[treat]         0.756    0.536    3830.0    2796.0    1.0  \n",
+       "              beta_[age]           0.027    0.019    5058.0    3064.0    1.0  \n",
+       "              beta_[educ]          0.180    0.128    2792.0    2713.0    1.0  \n",
+       "              beta_[hispan]        1.020    0.722    3713.0    2931.0    1.0  \n",
+       "              beta_[white]         0.788    0.559    3605.0    2730.0    1.0  \n",
+       "              beta_[married]       0.528    0.374    5393.0    3293.0    1.0  \n",
+       "              beta_[nodegree]      0.926    0.655    3081.0    2898.0    1.0  \n",
+       "              beta_ps              0.013    0.016    6257.0    3009.0    1.0  \n",
+       "              alpha_outcome        2.895    2.054    2562.0    2617.0    1.0  \n",
+       "2-stage-model beta_[treat]         0.737    0.522    4327.0    2927.0    1.0  \n",
+       "              beta_[age]           0.027    0.019    5255.0    3146.0    1.0  \n",
+       "              beta_[educ]          0.193    0.137    2424.0    2663.0    1.0  \n",
+       "              beta_[hispan]        0.908    0.644    4418.0    2793.0    1.0  \n",
+       "              beta_[white]         0.747    0.530    3796.0    3442.0    1.0  \n",
+       "              beta_[married]       0.491    0.347    6358.0    3014.0    1.0  \n",
+       "              beta_[nodegree]      0.983    0.704    2762.0    2884.0    1.0  \n",
+       "              beta_ps              0.011    0.017    8043.0    2976.0    1.0  \n",
+       "              alpha_outcome        3.096    2.190    2179.0    2345.0    1.0  "
+      ]
+     },
+     "execution_count": 362,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "compare_estimate = pd.concat(\n",
+    "    {\n",
+    "        \"1-stage-model\": az.summary(\n",
+    "            idata_lalonde, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "        \"2-stage-model\": az.summary(\n",
+    "            idata_outcome_2s_lalonde, var_names=[\"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "    }\n",
+    ")\n",
+    "compare_estimate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 363,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a7b0e90cd5ba416bae6ac495c12de6a1",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "decc6287f2d6432283c99aecce492d7a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X_outcome_trt = X_outcome.copy()\n",
+    "X_outcome_trt[:, 0] = 1\n",
+    "X_outcome_trt = X_outcome_trt.astype(np.int32)\n",
+    "\n",
+    "X_outcome_ntrt = X_outcome.copy()\n",
+    "X_outcome_ntrt[:, 0] = 0\n",
+    "X_outcome_ntrt = X_outcome_ntrt.astype(np.int32)\n",
+    "\n",
+    "\n",
+    "with pm.do(\n",
+    "    lalonde_model,\n",
+    "    {\"T\": np.ones(len(lalonde), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
+    "    prune_vars=True,\n",
+    ") as treatment_model:\n",
+    "    idata_trt = pm.sample_posterior_predictive(idata_lalonde, var_names=[\"like\", \"p\"])\n",
+    "\n",
+    "with pm.do(\n",
+    "    lalonde_model,\n",
+    "    {\"T\": np.zeros(len(lalonde), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
+    "    prune_vars=True,\n",
+    ") as ntreatment_model:\n",
+    "    idata_ntrt = pm.sample_posterior_predictive(idata_lalonde, var_names=[\"like\", \"p\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 364,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
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+       "\n",
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+       "\n",
+       ".xr-attrs dt:hover span {\n",
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+       "\n",
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+       "\n",
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+       "  stroke: currentColor;\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(1151.11656973)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5b422895-7307-4d76-8b85-2b2e9f13f29c' class='xr-array-in' type='checkbox' checked><label for='section-5b422895-7307-4d76-8b85-2b2e9f13f29c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.151e+03</span></div><div class='xr-array-data'><pre>array(1151.11656973)</pre></div></div></li><li class='xr-section-item'><input id='section-f37ffc39-0868-4571-911a-0bf28b414041' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f37ffc39-0868-4571-911a-0bf28b414041' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1af7b45c-b031-4a39-92ff-c7a8716484fa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1af7b45c-b031-4a39-92ff-c7a8716484fa' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-175b4b7a-f9f1-4b6c-af8f-d66424a915ff' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-175b4b7a-f9f1-4b6c-af8f-d66424a915ff' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(1151.11656973)"
+      ]
+     },
+     "execution_count": 364,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(\n",
+    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
+    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 365,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>          <td>re78</td>       <th>  R-squared:         </th> <td>   0.002</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>  -0.000</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>  0.9338</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Wed, 09 Jul 2025</td> <th>  Prob (F-statistic):</th>  <td> 0.334</td>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>13:31:28</td>     <th>  Log-Likelihood:    </th> <td> -6346.4</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.270e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>   612</td>      <th>  BIC:               </th> <td>1.271e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th> <td> 6984.1697</td> <td>  360.710</td> <td>   19.362</td> <td> 0.000</td> <td> 6275.791</td> <td> 7692.549</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>treat</th>     <td> -635.0262</td> <td>  657.137</td> <td>   -0.966</td> <td> 0.334</td> <td>-1925.544</td> <td>  655.492</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>209.619</td> <th>  Durbin-Watson:     </th> <td>   1.809</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 775.567</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td> 1.567</td>  <th>  Prob(JB):          </th> <td>3.87e-169</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 7.527</td>  <th>  Cond. No.          </th> <td>    2.42</td> \n",
+       "</tr>\n",
+       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+      ],
+      "text/latex": [
+       "\\begin{center}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\toprule\n",
+       "\\textbf{Dep. Variable:}    &       re78       & \\textbf{  R-squared:         } &     0.002   \\\\\n",
+       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &    -0.000   \\\\\n",
+       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &    0.9338   \\\\\n",
+       "\\textbf{Date:}             & Wed, 09 Jul 2025 & \\textbf{  Prob (F-statistic):} &    0.334    \\\\\n",
+       "\\textbf{Time:}             &     13:31:28     & \\textbf{  Log-Likelihood:    } &   -6346.4   \\\\\n",
+       "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.270e+04   \\\\\n",
+       "\\textbf{Df Residuals:}     &         612      & \\textbf{  BIC:               } & 1.271e+04   \\\\\n",
+       "\\textbf{Df Model:}         &           1      & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lcccccc}\n",
+       "                   & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
+       "\\midrule\n",
+       "\\textbf{Intercept} &    6984.1697  &      360.710     &    19.362  &         0.000        &     6275.791    &     7692.549     \\\\\n",
+       "\\textbf{treat}     &    -635.0262  &      657.137     &    -0.966  &         0.334        &    -1925.544    &      655.492     \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\textbf{Omnibus:}       & 209.619 & \\textbf{  Durbin-Watson:     } &     1.809  \\\\\n",
+       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &   775.567  \\\\\n",
+       "\\textbf{Skew:}          &   1.567 & \\textbf{  Prob(JB):          } & 3.87e-169  \\\\\n",
+       "\\textbf{Kurtosis:}      &   7.527 & \\textbf{  Cond. No.          } &      2.42  \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "%\\caption{OLS Regression Results}\n",
+       "\\end{center}\n",
+       "\n",
+       "Notes: \\newline\n",
+       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:                   re78   R-squared:                       0.002\n",
+       "Model:                            OLS   Adj. R-squared:                 -0.000\n",
+       "Method:                 Least Squares   F-statistic:                    0.9338\n",
+       "Date:                Wed, 09 Jul 2025   Prob (F-statistic):              0.334\n",
+       "Time:                        13:31:28   Log-Likelihood:                -6346.4\n",
+       "No. Observations:                 614   AIC:                         1.270e+04\n",
+       "Df Residuals:                     612   BIC:                         1.271e+04\n",
+       "Df Model:                           1                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "==============================================================================\n",
+       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "------------------------------------------------------------------------------\n",
+       "Intercept   6984.1697    360.710     19.362      0.000    6275.791    7692.549\n",
+       "treat       -635.0262    657.137     -0.966      0.334   -1925.544     655.492\n",
+       "==============================================================================\n",
+       "Omnibus:                      209.619   Durbin-Watson:                   1.809\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              775.567\n",
+       "Skew:                           1.567   Prob(JB):                    3.87e-169\n",
+       "Kurtosis:                       7.527   Cond. No.                         2.42\n",
+       "==============================================================================\n",
+       "\n",
+       "Notes:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 365,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "res = smf.ols(\"re78 ~ treat \", lalonde).fit()\n",
+    "res.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 366,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>          <td>re78</td>       <th>  R-squared:         </th> <td>   0.071</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.060</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   6.594</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Wed, 09 Jul 2025</td> <th>  Prob (F-statistic):</th> <td>1.59e-07</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>13:31:32</td>     <th>  Log-Likelihood:    </th> <td> -6324.3</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.266e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>   606</td>      <th>  BIC:               </th> <td>1.270e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>     7</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "         <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>      <td>-2352.7506</td> <td> 2540.562</td> <td>   -0.926</td> <td> 0.355</td> <td>-7342.126</td> <td> 2636.625</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>hispan[T.True]</th> <td> 2173.6001</td> <td> 1059.746</td> <td>    2.051</td> <td> 0.041</td> <td>   92.380</td> <td> 4254.820</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>white[T.True]</th>  <td> 1538.0720</td> <td>  798.864</td> <td>    1.925</td> <td> 0.055</td> <td>  -30.807</td> <td> 3106.951</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>treat</th>          <td> 1163.9224</td> <td>  811.617</td> <td>    1.434</td> <td> 0.152</td> <td> -430.001</td> <td> 2757.845</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>age</th>            <td>   55.8953</td> <td>   32.831</td> <td>    1.703</td> <td> 0.089</td> <td>   -8.582</td> <td>  120.372</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>educ</th>           <td>  525.5796</td> <td>  164.381</td> <td>    3.197</td> <td> 0.001</td> <td>  202.753</td> <td>  848.406</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>married</th>        <td> 2136.9467</td> <td>  679.736</td> <td>    3.144</td> <td> 0.002</td> <td>  802.022</td> <td> 3471.871</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>nodegree</th>       <td>  -36.4776</td> <td>  882.377</td> <td>   -0.041</td> <td> 0.967</td> <td>-1769.367</td> <td> 1696.411</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>201.275</td> <th>  Durbin-Watson:     </th> <td>   1.903</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 848.900</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td> 1.446</td>  <th>  Prob(JB):          </th> <td>4.61e-185</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 7.982</td>  <th>  Cond. No.          </th> <td>    279.</td> \n",
+       "</tr>\n",
+       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+      ],
+      "text/latex": [
+       "\\begin{center}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\toprule\n",
+       "\\textbf{Dep. Variable:}    &       re78       & \\textbf{  R-squared:         } &     0.071   \\\\\n",
+       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.060   \\\\\n",
+       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     6.594   \\\\\n",
+       "\\textbf{Date:}             & Wed, 09 Jul 2025 & \\textbf{  Prob (F-statistic):} &  1.59e-07   \\\\\n",
+       "\\textbf{Time:}             &     13:31:32     & \\textbf{  Log-Likelihood:    } &   -6324.3   \\\\\n",
+       "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.266e+04   \\\\\n",
+       "\\textbf{Df Residuals:}     &         606      & \\textbf{  BIC:               } & 1.270e+04   \\\\\n",
+       "\\textbf{Df Model:}         &           7      & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lcccccc}\n",
+       "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
+       "\\midrule\n",
+       "\\textbf{Intercept}      &   -2352.7506  &     2540.562     &    -0.926  &         0.355        &    -7342.126    &     2636.625     \\\\\n",
+       "\\textbf{hispan[T.True]} &    2173.6001  &     1059.746     &     2.051  &         0.041        &       92.380    &     4254.820     \\\\\n",
+       "\\textbf{white[T.True]}  &    1538.0720  &      798.864     &     1.925  &         0.055        &      -30.807    &     3106.951     \\\\\n",
+       "\\textbf{treat}          &    1163.9224  &      811.617     &     1.434  &         0.152        &     -430.001    &     2757.845     \\\\\n",
+       "\\textbf{age}            &      55.8953  &       32.831     &     1.703  &         0.089        &       -8.582    &      120.372     \\\\\n",
+       "\\textbf{educ}           &     525.5796  &      164.381     &     3.197  &         0.001        &      202.753    &      848.406     \\\\\n",
+       "\\textbf{married}        &    2136.9467  &      679.736     &     3.144  &         0.002        &      802.022    &     3471.871     \\\\\n",
+       "\\textbf{nodegree}       &     -36.4776  &      882.377     &    -0.041  &         0.967        &    -1769.367    &     1696.411     \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\textbf{Omnibus:}       & 201.275 & \\textbf{  Durbin-Watson:     } &     1.903  \\\\\n",
+       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &   848.900  \\\\\n",
+       "\\textbf{Skew:}          &   1.446 & \\textbf{  Prob(JB):          } & 4.61e-185  \\\\\n",
+       "\\textbf{Kurtosis:}      &   7.982 & \\textbf{  Cond. No.          } &      279.  \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "%\\caption{OLS Regression Results}\n",
+       "\\end{center}\n",
+       "\n",
+       "Notes: \\newline\n",
+       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:                   re78   R-squared:                       0.071\n",
+       "Model:                            OLS   Adj. R-squared:                  0.060\n",
+       "Method:                 Least Squares   F-statistic:                     6.594\n",
+       "Date:                Wed, 09 Jul 2025   Prob (F-statistic):           1.59e-07\n",
+       "Time:                        13:31:32   Log-Likelihood:                -6324.3\n",
+       "No. Observations:                 614   AIC:                         1.266e+04\n",
+       "Df Residuals:                     606   BIC:                         1.270e+04\n",
+       "Df Model:                           7                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "==================================================================================\n",
+       "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "----------------------------------------------------------------------------------\n",
+       "Intercept      -2352.7506   2540.562     -0.926      0.355   -7342.126    2636.625\n",
+       "hispan[T.True]  2173.6001   1059.746      2.051      0.041      92.380    4254.820\n",
+       "white[T.True]   1538.0720    798.864      1.925      0.055     -30.807    3106.951\n",
+       "treat           1163.9224    811.617      1.434      0.152    -430.001    2757.845\n",
+       "age               55.8953     32.831      1.703      0.089      -8.582     120.372\n",
+       "educ             525.5796    164.381      3.197      0.001     202.753     848.406\n",
+       "married         2136.9467    679.736      3.144      0.002     802.022    3471.871\n",
+       "nodegree         -36.4776    882.377     -0.041      0.967   -1769.367    1696.411\n",
+       "==============================================================================\n",
+       "Omnibus:                      201.275   Durbin-Watson:                   1.903\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              848.900\n",
+       "Skew:                           1.446   Prob(JB):                    4.61e-185\n",
+       "Kurtosis:                       7.982   Cond. No.                         279.\n",
+       "==============================================================================\n",
+       "\n",
+       "Notes:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 366,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import statsmodels.formula.api as smf\n",
+    "\n",
+    "res = smf.ols(\n",
+    "    \"re78 ~ treat + age + educ + hispan + white + married + nodegree\", lalonde\n",
+    ").fit()\n",
+    "res.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## NHEFS "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 367,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>age</th>\n",
+       "      <th>race</th>\n",
+       "      <th>trt</th>\n",
+       "      <th>smokeintensity</th>\n",
+       "      <th>smokeyrs</th>\n",
+       "      <th>outcome</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>42</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>29</td>\n",
+       "      <td>-10.093960</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>36</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>24</td>\n",
+       "      <td>2.604970</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>56</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>26</td>\n",
+       "      <td>9.414486</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>68</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>53</td>\n",
+       "      <td>4.990117</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>40</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4.989251</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   age  race  trt  smokeintensity  smokeyrs    outcome\n",
+       "0   42     1    0              30        29 -10.093960\n",
+       "1   36     0    0              20        24   2.604970\n",
+       "2   56     1    0              20        26   9.414486\n",
+       "3   68     1    0               3        53   4.990117\n",
+       "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 222,
+     "execution_count": 367,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pm.model_to_graphviz(new_model)"
+    "df = cp.load_data(\"nhefs\")\n",
+    "df[[\"age\", \"race\", \"trt\", \"smokeintensity\", \"smokeyrs\", \"outcome\"]].head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 223,
+   "execution_count": 368,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [alpha_outcome, alpha_trt, beta_ps, beta_ps_spline, beta_std, beta_trt_std, like, sigma, t_pred]\n"
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n",
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_std, beta_std, beta_ps_spline, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d03180fa09044e328e2753502e987f21",
+       "model_id": "c4aeb45827bb4767a1af5dd437a7c4be",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/4000 [00:00<?, ?it/s]"
+       "Output()"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 9 seconds.\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n",
+      "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_std, alpha_trt]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3a238d0bade64358be3f40e6b629d968",
+       "model_id": "a89dde6587294db084515ee2ab26add2",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/4000 [00:00<?, ?it/s]"
+       "Output()"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_std, beta_ps_spline, beta_ps, alpha_outcome, sigma]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8206548923aa4454acf5e7f703134041",
+       "model_id": "3897b452dc2a4b54a3ca471c18ad807b",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/4000 [00:00<?, ?it/s]"
+       "Output()"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "981733c4c876496a8fd571d1104964f6",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/4000 [00:00<?, ?it/s]"
-      ]
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 18 seconds.\n"
+     ]
     }
    ],
    "source": [
-    "with new_model:\n",
-    "    idata = pm.sample_prior_predictive()\n",
-    "    idata.extend(pm.sample(tune=3000, target_accept=0.99, nuts_sampler=\"numpyro\"))"
+    "coords = {\n",
+    "    \"betas\": [\n",
+    "        \"trt\",\n",
+    "        \"age\",\n",
+    "        \"smokeintensity\",\n",
+    "        \"smokeyrs\",\n",
+    "        \"wt71\",\n",
+    "        \"active_1\",\n",
+    "        \"active_2\",\n",
+    "        \"education_2\",\n",
+    "        \"education_3\",\n",
+    "        \"education_4\",\n",
+    "        \"education_5\",\n",
+    "        \"exercise_1\",\n",
+    "        \"exercise_2\",\n",
+    "    ],\n",
+    "    \"betas_trt\": [\n",
+    "        \"age\",\n",
+    "        \"smokeintensity\",\n",
+    "        \"smokeyrs\",\n",
+    "        \"wt71\",\n",
+    "        \"active_1\",\n",
+    "        \"active_2\",\n",
+    "        \"education_2\",\n",
+    "        \"education_3\",\n",
+    "        \"education_4\",\n",
+    "        \"education_5\",\n",
+    "        \"exercise_1\",\n",
+    "        \"exercise_2\",\n",
+    "    ],\n",
+    "    \"obs\": range(df.shape[0]),\n",
+    "}\n",
+    "\n",
+    "N = df.shape[0]\n",
+    "X_trt = df[\n",
+    "    [\n",
+    "        \"age\",\n",
+    "        \"smokeintensity\",\n",
+    "        \"smokeyrs\",\n",
+    "        \"wt71\",\n",
+    "        \"active_1\",\n",
+    "        \"active_2\",\n",
+    "        \"education_2\",\n",
+    "        \"education_3\",\n",
+    "        \"education_4\",\n",
+    "        \"education_5\",\n",
+    "        \"exercise_1\",\n",
+    "        \"exercise_2\",\n",
+    "    ]\n",
+    "]\n",
+    "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
+    "X_outcome = df[\n",
+    "    [\n",
+    "        \"trt\",\n",
+    "        \"age\",\n",
+    "        \"smokeintensity\",\n",
+    "        \"smokeyrs\",\n",
+    "        \"wt71\",\n",
+    "        \"active_1\",\n",
+    "        \"active_2\",\n",
+    "        \"education_2\",\n",
+    "        \"education_3\",\n",
+    "        \"education_4\",\n",
+    "        \"education_5\",\n",
+    "        \"exercise_1\",\n",
+    "        \"exercise_2\",\n",
+    "    ]\n",
+    "]\n",
+    "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
+    "T_data = df[\"trt\"].values\n",
+    "X_outcome[\"trt\"] = T_data\n",
+    "Y_data = df[\"outcome\"].values\n",
+    "\n",
+    "nhefs_model = make_model(X_trt, X_outcome, T_data, Y_data, coords)\n",
+    "with nhefs_model:\n",
+    "    idata_nhefs = pm.sample()\n",
+    "\n",
+    "\n",
+    "(\n",
+    "    idata_treatment_2s_nhefs,\n",
+    "    idata_outcome_2s_nhefs,\n",
+    "    treatment_model_nhefs,\n",
+    "    outcome_model_nhefs,\n",
+    ") = make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 224,
+   "execution_count": 369,
    "metadata": {},
    "outputs": [
     {
@@ -5337,6 +5584,7 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
+       "      <th></th>\n",
        "      <th>mean</th>\n",
        "      <th>sd</th>\n",
        "      <th>hdi_3%</th>\n",
@@ -5350,339 +5598,377 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th rowspan=\"16\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.119</td>\n",
-       "      <td>0.060</td>\n",
-       "      <td>-1.229</td>\n",
-       "      <td>-1.003</td>\n",
+       "      <td>-1.118</td>\n",
+       "      <td>0.061</td>\n",
+       "      <td>-1.238</td>\n",
+       "      <td>-1.012</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>4882.0</td>\n",
-       "      <td>3067.0</td>\n",
+       "      <td>7382.0</td>\n",
+       "      <td>2835.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>2.941</td>\n",
+       "      <td>0.402</td>\n",
+       "      <td>2.191</td>\n",
+       "      <td>3.693</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>7425.0</td>\n",
+       "      <td>3194.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>-2.231</td>\n",
+       "      <td>0.339</td>\n",
+       "      <td>-2.871</td>\n",
+       "      <td>-1.582</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5097.0</td>\n",
+       "      <td>2938.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[age]</th>\n",
-       "      <td>0.465</td>\n",
-       "      <td>0.115</td>\n",
-       "      <td>0.246</td>\n",
-       "      <td>0.669</td>\n",
+       "      <th>beta_[smokeintensity]</th>\n",
+       "      <td>0.314</td>\n",
+       "      <td>0.191</td>\n",
+       "      <td>-0.072</td>\n",
+       "      <td>0.657</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>2590.0</td>\n",
-       "      <td>2592.0</td>\n",
+       "      <td>6105.0</td>\n",
+       "      <td>3110.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[smokeintensity]</th>\n",
-       "      <td>-0.219</td>\n",
-       "      <td>0.065</td>\n",
-       "      <td>-0.344</td>\n",
-       "      <td>-0.101</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>4568.0</td>\n",
-       "      <td>3134.0</td>\n",
+       "      <th>beta_[smokeyrs]</th>\n",
+       "      <td>0.569</td>\n",
+       "      <td>0.334</td>\n",
+       "      <td>-0.047</td>\n",
+       "      <td>1.212</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>4988.0</td>\n",
+       "      <td>2986.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[smokeyrs]</th>\n",
-       "      <td>-0.205</td>\n",
-       "      <td>0.113</td>\n",
-       "      <td>-0.419</td>\n",
-       "      <td>-0.002</td>\n",
+       "      <th>beta_[wt71]</th>\n",
+       "      <td>-1.173</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-1.539</td>\n",
+       "      <td>-0.816</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>2371.0</td>\n",
-       "      <td>2522.0</td>\n",
+       "      <td>6280.0</td>\n",
+       "      <td>3029.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[wt71]</th>\n",
-       "      <td>0.155</td>\n",
-       "      <td>0.059</td>\n",
-       "      <td>0.043</td>\n",
-       "      <td>0.265</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>4374.0</td>\n",
-       "      <td>3482.0</td>\n",
+       "      <th>beta_[active_1]</th>\n",
+       "      <td>-0.607</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>-0.968</td>\n",
+       "      <td>-0.212</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6907.0</td>\n",
+       "      <td>3303.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[active_1]</th>\n",
-       "      <td>-0.006</td>\n",
-       "      <td>0.063</td>\n",
-       "      <td>-0.120</td>\n",
-       "      <td>0.112</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>3675.0</td>\n",
-       "      <td>3079.0</td>\n",
+       "      <th>beta_[active_2]</th>\n",
+       "      <td>-0.157</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-0.510</td>\n",
+       "      <td>0.215</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>6597.0</td>\n",
+       "      <td>3242.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[active_2]</th>\n",
-       "      <td>0.045</td>\n",
-       "      <td>0.062</td>\n",
-       "      <td>-0.072</td>\n",
-       "      <td>0.160</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>3916.0</td>\n",
-       "      <td>3241.0</td>\n",
+       "      <th>beta_[education_2]</th>\n",
+       "      <td>0.285</td>\n",
+       "      <td>0.237</td>\n",
+       "      <td>-0.147</td>\n",
+       "      <td>0.739</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5257.0</td>\n",
+       "      <td>3193.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[education_2]</th>\n",
-       "      <td>-0.051</td>\n",
-       "      <td>0.078</td>\n",
-       "      <td>-0.200</td>\n",
-       "      <td>0.095</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2909.0</td>\n",
-       "      <td>3004.0</td>\n",
+       "      <th>beta_[education_3]</th>\n",
+       "      <td>0.251</td>\n",
+       "      <td>0.253</td>\n",
+       "      <td>-0.212</td>\n",
+       "      <td>0.738</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5047.0</td>\n",
+       "      <td>3269.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[education_3]</th>\n",
-       "      <td>0.040</td>\n",
-       "      <td>0.084</td>\n",
-       "      <td>-0.123</td>\n",
-       "      <td>0.190</td>\n",
+       "      <th>beta_[education_4]</th>\n",
+       "      <td>0.305</td>\n",
+       "      <td>0.213</td>\n",
+       "      <td>-0.076</td>\n",
+       "      <td>0.709</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2528.0</td>\n",
-       "      <td>2889.0</td>\n",
+       "      <td>5763.0</td>\n",
+       "      <td>3576.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[education_4]</th>\n",
-       "      <td>0.038</td>\n",
-       "      <td>0.071</td>\n",
-       "      <td>-0.094</td>\n",
-       "      <td>0.177</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2978.0</td>\n",
-       "      <td>2914.0</td>\n",
+       "      <th>beta_[education_5]</th>\n",
+       "      <td>-0.050</td>\n",
+       "      <td>0.225</td>\n",
+       "      <td>-0.451</td>\n",
+       "      <td>0.388</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4707.0</td>\n",
+       "      <td>2787.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[education_5]</th>\n",
-       "      <td>0.184</td>\n",
-       "      <td>0.070</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>0.320</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2685.0</td>\n",
-       "      <td>2424.0</td>\n",
+       "      <th>beta_[exercise_1]</th>\n",
+       "      <td>0.110</td>\n",
+       "      <td>0.257</td>\n",
+       "      <td>-0.372</td>\n",
+       "      <td>0.568</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5283.0</td>\n",
+       "      <td>3546.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[exercise_1]</th>\n",
-       "      <td>0.137</td>\n",
-       "      <td>0.088</td>\n",
-       "      <td>-0.033</td>\n",
-       "      <td>0.298</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2718.0</td>\n",
-       "      <td>2960.0</td>\n",
+       "      <th>beta_[exercise_2]</th>\n",
+       "      <td>0.095</td>\n",
+       "      <td>0.257</td>\n",
+       "      <td>-0.371</td>\n",
+       "      <td>0.574</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5890.0</td>\n",
+       "      <td>3071.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_trt_[exercise_2]</th>\n",
-       "      <td>0.115</td>\n",
-       "      <td>0.090</td>\n",
-       "      <td>-0.052</td>\n",
-       "      <td>0.280</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2717.0</td>\n",
-       "      <td>2851.0</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-0.040</td>\n",
+       "      <td>0.955</td>\n",
+       "      <td>-1.812</td>\n",
+       "      <td>1.726</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>5185.0</td>\n",
+       "      <td>2959.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.822</td>\n",
-       "      <td>0.316</td>\n",
-       "      <td>1.189</td>\n",
-       "      <td>2.384</td>\n",
-       "      <td>0.006</td>\n",
+       "      <td>1.826</td>\n",
+       "      <td>0.318</td>\n",
+       "      <td>1.246</td>\n",
+       "      <td>2.428</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>2583.0</td>\n",
-       "      <td>2606.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5246.0</td>\n",
+       "      <td>2758.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th rowspan=\"15\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.951</td>\n",
-       "      <td>0.404</td>\n",
-       "      <td>2.215</td>\n",
-       "      <td>3.726</td>\n",
-       "      <td>0.006</td>\n",
+       "      <td>3.468</td>\n",
+       "      <td>0.432</td>\n",
+       "      <td>2.665</td>\n",
+       "      <td>4.266</td>\n",
+       "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>4771.0</td>\n",
-       "      <td>3199.0</td>\n",
+       "      <td>7926.0</td>\n",
+       "      <td>2936.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.241</td>\n",
-       "      <td>0.356</td>\n",
-       "      <td>-2.919</td>\n",
-       "      <td>-1.588</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>2615.0</td>\n",
-       "      <td>2735.0</td>\n",
+       "      <td>-2.604</td>\n",
+       "      <td>0.437</td>\n",
+       "      <td>-3.448</td>\n",
+       "      <td>-1.814</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5429.0</td>\n",
+       "      <td>3436.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.313</td>\n",
-       "      <td>0.188</td>\n",
-       "      <td>-0.008</td>\n",
-       "      <td>0.688</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>0.346</td>\n",
+       "      <td>0.202</td>\n",
+       "      <td>-0.048</td>\n",
+       "      <td>0.711</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4294.0</td>\n",
-       "      <td>2992.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6578.0</td>\n",
+       "      <td>3094.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.579</td>\n",
-       "      <td>0.350</td>\n",
-       "      <td>-0.074</td>\n",
-       "      <td>1.210</td>\n",
-       "      <td>0.007</td>\n",
+       "      <td>0.891</td>\n",
+       "      <td>0.412</td>\n",
+       "      <td>0.077</td>\n",
+       "      <td>1.607</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>2770.0</td>\n",
-       "      <td>2760.0</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5749.0</td>\n",
+       "      <td>3252.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.179</td>\n",
-       "      <td>0.187</td>\n",
-       "      <td>-1.512</td>\n",
-       "      <td>-0.815</td>\n",
+       "      <td>-1.249</td>\n",
+       "      <td>0.210</td>\n",
+       "      <td>-1.627</td>\n",
+       "      <td>-0.857</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4724.0</td>\n",
+       "      <td>5881.0</td>\n",
        "      <td>2984.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.608</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-0.967</td>\n",
-       "      <td>-0.242</td>\n",
+       "      <td>-0.631</td>\n",
+       "      <td>0.208</td>\n",
+       "      <td>-1.018</td>\n",
+       "      <td>-0.243</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>3840.0</td>\n",
-       "      <td>2949.0</td>\n",
+       "      <td>5045.0</td>\n",
+       "      <td>3349.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.157</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-0.516</td>\n",
-       "      <td>0.215</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>-0.162</td>\n",
+       "      <td>0.198</td>\n",
+       "      <td>-0.547</td>\n",
+       "      <td>0.189</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4285.0</td>\n",
-       "      <td>2892.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6624.0</td>\n",
+       "      <td>3298.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.289</td>\n",
-       "      <td>0.234</td>\n",
-       "      <td>-0.137</td>\n",
-       "      <td>0.731</td>\n",
+       "      <td>0.344</td>\n",
+       "      <td>0.245</td>\n",
+       "      <td>-0.099</td>\n",
+       "      <td>0.815</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>2939.0</td>\n",
-       "      <td>2894.0</td>\n",
+       "      <td>4860.0</td>\n",
+       "      <td>3286.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.255</td>\n",
-       "      <td>0.250</td>\n",
-       "      <td>-0.203</td>\n",
-       "      <td>0.734</td>\n",
-       "      <td>0.005</td>\n",
+       "      <td>0.254</td>\n",
+       "      <td>0.263</td>\n",
+       "      <td>-0.231</td>\n",
+       "      <td>0.739</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>2569.0</td>\n",
-       "      <td>2771.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5068.0</td>\n",
+       "      <td>3520.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.304</td>\n",
-       "      <td>0.208</td>\n",
-       "      <td>-0.094</td>\n",
-       "      <td>0.681</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>0.324</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>-0.093</td>\n",
+       "      <td>0.702</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>3317.0</td>\n",
-       "      <td>3063.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5517.0</td>\n",
+       "      <td>3604.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.049</td>\n",
-       "      <td>0.223</td>\n",
-       "      <td>-0.451</td>\n",
-       "      <td>0.392</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>-0.023</td>\n",
+       "      <td>0.236</td>\n",
+       "      <td>-0.433</td>\n",
+       "      <td>0.458</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>3102.0</td>\n",
-       "      <td>2943.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5213.0</td>\n",
+       "      <td>3280.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.107</td>\n",
-       "      <td>0.255</td>\n",
-       "      <td>-0.339</td>\n",
-       "      <td>0.626</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>2956.0</td>\n",
-       "      <td>2834.0</td>\n",
+       "      <td>0.059</td>\n",
+       "      <td>0.276</td>\n",
+       "      <td>-0.441</td>\n",
+       "      <td>0.591</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5320.0</td>\n",
+       "      <td>3215.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.094</td>\n",
-       "      <td>0.255</td>\n",
-       "      <td>-0.391</td>\n",
-       "      <td>0.565</td>\n",
+       "      <td>0.070</td>\n",
+       "      <td>0.278</td>\n",
+       "      <td>-0.431</td>\n",
+       "      <td>0.617</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>3309.0</td>\n",
-       "      <td>3193.0</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5566.0</td>\n",
+       "      <td>3493.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.017</td>\n",
-       "      <td>0.958</td>\n",
-       "      <td>-1.768</td>\n",
-       "      <td>1.838</td>\n",
-       "      <td>0.019</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>2587.0</td>\n",
-       "      <td>2876.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>1.008</td>\n",
+       "      <td>-1.840</td>\n",
+       "      <td>1.863</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>7260.0</td>\n",
+       "      <td>3011.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>1.534</td>\n",
+       "      <td>0.368</td>\n",
+       "      <td>0.850</td>\n",
+       "      <td>2.224</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5166.0</td>\n",
+       "      <td>3167.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -5690,98 +5976,90 @@
        "</div>"
       ],
       "text/plain": [
-       "                            mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "alpha_trt                 -1.119  0.060  -1.229   -1.003      0.001    0.001   \n",
-       "beta_trt_[age]             0.465  0.115   0.246    0.669      0.002    0.002   \n",
-       "beta_trt_[smokeintensity] -0.219  0.065  -0.344   -0.101      0.001    0.001   \n",
-       "beta_trt_[smokeyrs]       -0.205  0.113  -0.419   -0.002      0.002    0.002   \n",
-       "beta_trt_[wt71]            0.155  0.059   0.043    0.265      0.001    0.001   \n",
-       "beta_trt_[active_1]       -0.006  0.063  -0.120    0.112      0.001    0.001   \n",
-       "beta_trt_[active_2]        0.045  0.062  -0.072    0.160      0.001    0.001   \n",
-       "beta_trt_[education_2]    -0.051  0.078  -0.200    0.095      0.001    0.001   \n",
-       "beta_trt_[education_3]     0.040  0.084  -0.123    0.190      0.002    0.001   \n",
-       "beta_trt_[education_4]     0.038  0.071  -0.094    0.177      0.001    0.001   \n",
-       "beta_trt_[education_5]     0.184  0.070   0.058    0.320      0.001    0.001   \n",
-       "beta_trt_[exercise_1]      0.137  0.088  -0.033    0.298      0.002    0.001   \n",
-       "beta_trt_[exercise_2]      0.115  0.090  -0.052    0.280      0.002    0.001   \n",
-       "alpha_outcome              1.822  0.316   1.189    2.384      0.006    0.004   \n",
-       "beta_[trt]                 2.951  0.404   2.215    3.726      0.006    0.004   \n",
-       "beta_[age]                -2.241  0.356  -2.919   -1.588      0.007    0.005   \n",
-       "beta_[smokeintensity]      0.313  0.188  -0.008    0.688      0.003    0.002   \n",
-       "beta_[smokeyrs]            0.579  0.350  -0.074    1.210      0.007    0.005   \n",
-       "beta_[wt71]               -1.179  0.187  -1.512   -0.815      0.003    0.002   \n",
-       "beta_[active_1]           -0.608  0.195  -0.967   -0.242      0.003    0.002   \n",
-       "beta_[active_2]           -0.157  0.195  -0.516    0.215      0.003    0.002   \n",
-       "beta_[education_2]         0.289  0.234  -0.137    0.731      0.004    0.003   \n",
-       "beta_[education_3]         0.255  0.250  -0.203    0.734      0.005    0.004   \n",
-       "beta_[education_4]         0.304  0.208  -0.094    0.681      0.004    0.003   \n",
-       "beta_[education_5]        -0.049  0.223  -0.451    0.392      0.004    0.003   \n",
-       "beta_[exercise_1]          0.107  0.255  -0.339    0.626      0.005    0.003   \n",
-       "beta_[exercise_2]          0.094  0.255  -0.391    0.565      0.004    0.003   \n",
-       "beta_ps                   -0.017  0.958  -1.768    1.838      0.019    0.013   \n",
-       "\n",
-       "                           ess_bulk  ess_tail  r_hat  \n",
-       "alpha_trt                    4882.0    3067.0    1.0  \n",
-       "beta_trt_[age]               2590.0    2592.0    1.0  \n",
-       "beta_trt_[smokeintensity]    4568.0    3134.0    1.0  \n",
-       "beta_trt_[smokeyrs]          2371.0    2522.0    1.0  \n",
-       "beta_trt_[wt71]              4374.0    3482.0    1.0  \n",
-       "beta_trt_[active_1]          3675.0    3079.0    1.0  \n",
-       "beta_trt_[active_2]          3916.0    3241.0    1.0  \n",
-       "beta_trt_[education_2]       2909.0    3004.0    1.0  \n",
-       "beta_trt_[education_3]       2528.0    2889.0    1.0  \n",
-       "beta_trt_[education_4]       2978.0    2914.0    1.0  \n",
-       "beta_trt_[education_5]       2685.0    2424.0    1.0  \n",
-       "beta_trt_[exercise_1]        2718.0    2960.0    1.0  \n",
-       "beta_trt_[exercise_2]        2717.0    2851.0    1.0  \n",
-       "alpha_outcome                2583.0    2606.0    1.0  \n",
-       "beta_[trt]                   4771.0    3199.0    1.0  \n",
-       "beta_[age]                   2615.0    2735.0    1.0  \n",
-       "beta_[smokeintensity]        4294.0    2992.0    1.0  \n",
-       "beta_[smokeyrs]              2770.0    2760.0    1.0  \n",
-       "beta_[wt71]                  4724.0    2984.0    1.0  \n",
-       "beta_[active_1]              3840.0    2949.0    1.0  \n",
-       "beta_[active_2]              4285.0    2892.0    1.0  \n",
-       "beta_[education_2]           2939.0    2894.0    1.0  \n",
-       "beta_[education_3]           2569.0    2771.0    1.0  \n",
-       "beta_[education_4]           3317.0    3063.0    1.0  \n",
-       "beta_[education_5]           3102.0    2943.0    1.0  \n",
-       "beta_[exercise_1]            2956.0    2834.0    1.0  \n",
-       "beta_[exercise_2]            3309.0    3193.0    1.0  \n",
-       "beta_ps                      2587.0    2876.0    1.0  "
+       "                                      mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
+       "1-stage-model alpha_trt             -1.118  0.061  -1.238   -1.012      0.001   \n",
+       "              beta_[trt]             2.941  0.402   2.191    3.693      0.005   \n",
+       "              beta_[age]            -2.231  0.339  -2.871   -1.582      0.005   \n",
+       "              beta_[smokeintensity]  0.314  0.191  -0.072    0.657      0.002   \n",
+       "              beta_[smokeyrs]        0.569  0.334  -0.047    1.212      0.005   \n",
+       "              beta_[wt71]           -1.173  0.195  -1.539   -0.816      0.002   \n",
+       "              beta_[active_1]       -0.607  0.201  -0.968   -0.212      0.002   \n",
+       "              beta_[active_2]       -0.157  0.195  -0.510    0.215      0.002   \n",
+       "              beta_[education_2]     0.285  0.237  -0.147    0.739      0.003   \n",
+       "              beta_[education_3]     0.251  0.253  -0.212    0.738      0.004   \n",
+       "              beta_[education_4]     0.305  0.213  -0.076    0.709      0.003   \n",
+       "              beta_[education_5]    -0.050  0.225  -0.451    0.388      0.003   \n",
+       "              beta_[exercise_1]      0.110  0.257  -0.372    0.568      0.004   \n",
+       "              beta_[exercise_2]      0.095  0.257  -0.371    0.574      0.003   \n",
+       "              beta_ps               -0.040  0.955  -1.812    1.726      0.013   \n",
+       "              alpha_outcome          1.826  0.318   1.246    2.428      0.004   \n",
+       "2-stage-model beta_[trt]             3.468  0.432   2.665    4.266      0.005   \n",
+       "              beta_[age]            -2.604  0.437  -3.448   -1.814      0.006   \n",
+       "              beta_[smokeintensity]  0.346  0.202  -0.048    0.711      0.002   \n",
+       "              beta_[smokeyrs]        0.891  0.412   0.077    1.607      0.005   \n",
+       "              beta_[wt71]           -1.249  0.210  -1.627   -0.857      0.003   \n",
+       "              beta_[active_1]       -0.631  0.208  -1.018   -0.243      0.003   \n",
+       "              beta_[active_2]       -0.162  0.198  -0.547    0.189      0.002   \n",
+       "              beta_[education_2]     0.344  0.245  -0.099    0.815      0.004   \n",
+       "              beta_[education_3]     0.254  0.263  -0.231    0.739      0.004   \n",
+       "              beta_[education_4]     0.324  0.216  -0.093    0.702      0.003   \n",
+       "              beta_[education_5]    -0.023  0.236  -0.433    0.458      0.003   \n",
+       "              beta_[exercise_1]      0.059  0.276  -0.441    0.591      0.004   \n",
+       "              beta_[exercise_2]      0.070  0.278  -0.431    0.617      0.004   \n",
+       "              beta_ps                0.002  1.008  -1.840    1.863      0.012   \n",
+       "              alpha_outcome          1.534  0.368   0.850    2.224      0.005   \n",
+       "\n",
+       "                                     mcse_sd  ess_bulk  ess_tail  r_hat  \n",
+       "1-stage-model alpha_trt                0.001    7382.0    2835.0    1.0  \n",
+       "              beta_[trt]               0.003    7425.0    3194.0    1.0  \n",
+       "              beta_[age]               0.003    5097.0    2938.0    1.0  \n",
+       "              beta_[smokeintensity]    0.002    6105.0    3110.0    1.0  \n",
+       "              beta_[smokeyrs]          0.004    4988.0    2986.0    1.0  \n",
+       "              beta_[wt71]              0.002    6280.0    3029.0    1.0  \n",
+       "              beta_[active_1]          0.002    6907.0    3303.0    1.0  \n",
+       "              beta_[active_2]          0.003    6597.0    3242.0    1.0  \n",
+       "              beta_[education_2]       0.003    5257.0    3193.0    1.0  \n",
+       "              beta_[education_3]       0.003    5047.0    3269.0    1.0  \n",
+       "              beta_[education_4]       0.002    5763.0    3576.0    1.0  \n",
+       "              beta_[education_5]       0.003    4707.0    2787.0    1.0  \n",
+       "              beta_[exercise_1]        0.004    5283.0    3546.0    1.0  \n",
+       "              beta_[exercise_2]        0.004    5890.0    3071.0    1.0  \n",
+       "              beta_ps                  0.015    5185.0    2959.0    1.0  \n",
+       "              alpha_outcome            0.003    5246.0    2758.0    1.0  \n",
+       "2-stage-model beta_[trt]               0.004    7926.0    2936.0    1.0  \n",
+       "              beta_[age]               0.004    5429.0    3436.0    1.0  \n",
+       "              beta_[smokeintensity]    0.002    6578.0    3094.0    1.0  \n",
+       "              beta_[smokeyrs]          0.004    5749.0    3252.0    1.0  \n",
+       "              beta_[wt71]              0.002    5881.0    2984.0    1.0  \n",
+       "              beta_[active_1]          0.002    5045.0    3349.0    1.0  \n",
+       "              beta_[active_2]          0.002    6624.0    3298.0    1.0  \n",
+       "              beta_[education_2]       0.003    4860.0    3286.0    1.0  \n",
+       "              beta_[education_3]       0.003    5068.0    3520.0    1.0  \n",
+       "              beta_[education_4]       0.002    5517.0    3604.0    1.0  \n",
+       "              beta_[education_5]       0.003    5213.0    3280.0    1.0  \n",
+       "              beta_[exercise_1]        0.004    5320.0    3215.0    1.0  \n",
+       "              beta_[exercise_2]        0.004    5566.0    3493.0    1.0  \n",
+       "              beta_ps                  0.017    7260.0    3011.0    1.0  \n",
+       "              alpha_outcome            0.004    5166.0    3167.0    1.0  "
       ]
      },
-     "execution_count": 224,
+     "execution_count": 369,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "az.summary(\n",
-    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 225,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1000 with 10 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "az.plot_trace(\n",
-    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
-    ");"
+    "compare_estimate = pd.concat(\n",
+    "    {\n",
+    "        \"1-stage-model\": az.summary(\n",
+    "            idata_nhefs, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "        \"2-stage-model\": az.summary(\n",
+    "            idata_outcome_2s_nhefs, var_names=[\"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "    }\n",
+    ")\n",
+    "compare_estimate"
    ]
   }
  ],

From ad4e6c3d8171a22e4ef81e19879a50190f86cb29 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Wed, 9 Jul 2025 22:51:23 +0100
Subject: [PATCH 08/31] update with write up

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/data/lalonde.csv                   |  615 +++
 docs/source/notebooks/inv_prop_latent.ipynb | 3930 +++++++------------
 docs/source/references.bib                  |    8 +
 3 files changed, 2039 insertions(+), 2514 deletions(-)
 create mode 100644 causalpy/data/lalonde.csv

diff --git a/causalpy/data/lalonde.csv b/causalpy/data/lalonde.csv
new file mode 100644
index 00000000..fb1e6e78
--- /dev/null
+++ b/causalpy/data/lalonde.csv
@@ -0,0 +1,615 @@
+rownames,treat,age,educ,race,married,nodegree,re74,re75,re78,hispan,white
+NSW1,1,37,11,black,1,1,0.0,0.0,9930.046,False,False
+NSW2,1,22,9,hispan,0,1,0.0,0.0,3595.894,True,False
+NSW3,1,30,12,black,0,0,0.0,0.0,24909.45,False,False
+NSW4,1,27,11,black,0,1,0.0,0.0,7506.146,False,False
+NSW5,1,33,8,black,0,1,0.0,0.0,289.7899,False,False
+NSW6,1,22,9,black,0,1,0.0,0.0,4056.494,False,False
+NSW7,1,23,12,black,0,0,0.0,0.0,0.0,False,False
+NSW8,1,32,11,black,0,1,0.0,0.0,8472.158,False,False
+NSW9,1,22,16,black,0,0,0.0,0.0,2164.022,False,False
+NSW10,1,33,12,white,1,0,0.0,0.0,12418.07,False,True
+NSW11,1,19,9,black,0,1,0.0,0.0,8173.908,False,False
+NSW12,1,21,13,black,0,0,0.0,0.0,17094.64,False,False
+NSW13,1,18,8,black,0,1,0.0,0.0,0.0,False,False
+NSW14,1,27,10,black,1,1,0.0,0.0,18739.93,False,False
+NSW15,1,17,7,black,0,1,0.0,0.0,3023.879,False,False
+NSW16,1,19,10,black,0,1,0.0,0.0,3228.503,False,False
+NSW17,1,27,13,black,0,0,0.0,0.0,14581.86,False,False
+NSW18,1,23,10,black,0,1,0.0,0.0,7693.4,False,False
+NSW19,1,40,12,black,0,0,0.0,0.0,10804.32,False,False
+NSW20,1,26,12,black,0,0,0.0,0.0,10747.35,False,False
+NSW21,1,23,11,black,0,1,0.0,0.0,0.0,False,False
+NSW22,1,41,14,white,0,0,0.0,0.0,5149.501,False,True
+NSW23,1,38,9,white,0,1,0.0,0.0,6408.95,False,True
+NSW24,1,24,11,black,0,1,0.0,0.0,1991.4,False,False
+NSW25,1,18,10,black,0,1,0.0,0.0,11163.17,False,False
+NSW26,1,29,11,black,1,1,0.0,0.0,9642.999,False,False
+NSW27,1,25,11,black,0,1,0.0,0.0,9897.049,False,False
+NSW28,1,27,10,hispan,0,1,0.0,0.0,11142.87,True,False
+NSW29,1,17,10,black,0,1,0.0,0.0,16218.04,False,False
+NSW30,1,24,11,black,0,1,0.0,0.0,995.7002,False,False
+NSW31,1,17,10,black,0,1,0.0,0.0,0.0,False,False
+NSW32,1,48,4,black,0,1,0.0,0.0,6551.592,False,False
+NSW33,1,25,11,black,1,1,0.0,0.0,1574.424,False,False
+NSW34,1,20,12,black,0,0,0.0,0.0,0.0,False,False
+NSW35,1,25,12,black,0,0,0.0,0.0,3191.753,False,False
+NSW36,1,42,14,black,0,0,0.0,0.0,20505.93,False,False
+NSW37,1,25,5,black,0,1,0.0,0.0,6181.88,False,False
+NSW38,1,23,12,black,1,0,0.0,0.0,5911.551,False,False
+NSW39,1,46,8,black,1,1,0.0,0.0,3094.156,False,False
+NSW40,1,24,10,black,0,1,0.0,0.0,0.0,False,False
+NSW41,1,21,12,black,0,0,0.0,0.0,1254.582,False,False
+NSW42,1,19,9,white,0,1,0.0,0.0,13188.83,False,True
+NSW43,1,17,8,black,0,1,0.0,0.0,8061.485,False,False
+NSW44,1,18,8,hispan,1,1,0.0,0.0,2787.96,True,False
+NSW45,1,20,11,black,0,1,0.0,0.0,3972.54,False,False
+NSW46,1,25,11,black,1,1,0.0,0.0,0.0,False,False
+NSW47,1,17,8,black,0,1,0.0,0.0,0.0,False,False
+NSW48,1,17,9,black,0,1,0.0,0.0,0.0,False,False
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diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index b06a412c..439d1f98 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 371,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10,15 +10,71 @@
     "import numpy as np\n",
     "import pandas as pd\n",
     "import pymc as pm\n",
-    "import statsmodels.formula.api as smf\n",
     "from patsy import dmatrix\n",
     "\n",
     "import causalpy as cp"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## The Pardox of Propensity Scores in Bayesian Inference\n",
+    "\n",
+    "In causal inference the role of the propensity score is often seen to be central. We've seen how the propensity score can be used with the `cp.InversePropensityWeighting` class to correct for a species of selection bias by re-weighting our outcome variable and calculating a causal contrast on the re-weighted scale. Additionally we can use the propensity score to visualise and diagnose problems of overlap or covariate balancing across treatment and control groups. \n",
+    "\n",
+    "These properties give the propensity score a large role to play in _design based_ approaches to causal inference. The focus is on assessing aspects of the treatment allocation to ensure we have identifiability assurances for estimands of interest. \n",
+    "\n",
+    "When we use `cp.InversePropensityWeighting` to apply various re-weighting techniques we perform a two-step manuever: (1) we estimate the propensity score and (2) apply the inverse-weighting of the score to transform our outcome variable and assess causal contrasts. But being good Bayesians, we might wonder why go to all this trouble? Can we not simple estimate a full-bayesian model of treatment and outcome simultaneously?\n",
+    "\n",
+    "In this notebook we'll show why we should be careful attempting to model the joint-distribution of the propensity score and the outcome variable, but still make good use of the propensity score. \n",
+    "\n",
+    "### Brief Digression on the Mathematics\n",
+    "\n",
+    "Consider that we have the following three variables:\n",
+    "\n",
+    "$$ P(Y, T, X) $$ \n",
+    "\n",
+    "where $Y$ is our outcome variable, $T$ is our treatment variable, and $X$ stands in for all other control variables in scope. Now define the propensity score\n",
+    "\n",
+    "$$ e(X) = P(T | X)$$\n",
+    "\n",
+    "and our outcome model\n",
+    "\n",
+    "$$ P(Y | T, X) = \\dfrac{P(Y, T, X)}{P(T, X)}\\cdot P(T, X) = \\dfrac{P(Y | T, X) \\cdot P(T | X) \\cdot P(X)}{P(T | X) \\cdot P(X)} P(T, X) = \\dfrac{P(Y | T, X) \\cdot e(X)\\cdot P(X)}{e(X) \\cdot P(X)} \\cdot P(T, X) $$\n",
+    "\n",
+    "but now it's clearer to see how the propensity score just cancels out. When we're already conditioning on $X, T$ the information in the propensity score is technically redundant in the Bayesian setting. Add the assumption of unconfoundedness or ignorability used in causal inference. We are arguing that there is no umeasured confounding so conditioning on $X, T$ should be sufficient to identify the causal contrast of interest. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Structure of the Presentation\n",
+    "\n",
+    "We will first consider a simple simulated data set where we know the true values of the data generating process. We'll first demonstrate how to fit the joint distribution of the propensity score and the outcome in a single joint distribution using `PyMC`. Then we'll show how to fit a two-stage version of the same model. In both models we assume independent priors between the regression for the treatment and the regression for the outcome variable. Nevertheless, we will show that the joint model exhibits a bias due to feedback when there is non-measured confounding i.e. when there is misspecified outcome model. \n",
+    "\n",
+    "- Model Specification\n",
+    "    - Joint Model\n",
+    "    - 2 Stage Model\n",
+    "- Application to Simulated Outcome\n",
+    "- Application to Mosquito Net Data\n",
+    "- Application to Lalonde Data\n",
+    "- Application to NHEFS data.\n",
+    "\n",
+    "Note the presentation here owes a debt to the work of Fan Li in {cite:p}`liBayesianProp` and her presentation [here](https://youtu.be/_BjkF2nl7dg?si=Pmza3EoTpz-flT8m&t=26). Additionally we drew on the work and data of Andrew Heiss [here](https://www.andrewheiss.com/blog/2021/12/18/bayesian-propensity-scores-weights/) and Jordan Nafa and Andrew Heiss [here](https://www.andrewheiss.com/blog/2021/12/20/fully-bayesian-ate-iptw/). "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Generate Some Data"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 310,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -106,10 +162,6 @@
     "N = 1000\n",
     "\n",
     "\n",
-    "def inv_logit(x):\n",
-    "    return 1 / (1 + np.exp(-x))\n",
-    "\n",
-    "\n",
     "df1 = pd.DataFrame(\n",
     "    np.random.multivariate_normal([0.5, 1], [[2, 1], [1, 1]], size=N),\n",
     "    columns=[\"x1\", \"x2\"],\n",
@@ -130,9 +182,18 @@
     "df1.head()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Specifying the Joint Model\n",
+    "\n",
+    "Here we will define a model context that fits our data simultaneously for treatment and outcome. We allow that the propensity score estimated in the treatment model is used in a non-parametric spline to flexibly inform the outcome variable"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 311,
+   "execution_count": 373,
    "metadata": {},
    "outputs": [
     {
@@ -422,10 +483,10 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x32351ac50>"
+       "<graphviz.graphs.Digraph at 0x32c071030>"
       ]
      },
-     "execution_count": 311,
+     "execution_count": 373,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -531,9 +592,27 @@
     "pm.model_to_graphviz(model)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note how the two likelihood terms are fit simultaneously. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Specifying the 2 Stage Model\n",
+    "\n",
+    "Here we allow for a function that takes the same inputs but fits two seperate models. First we fit the treatment model then store the `idata_treatment` this xarray object stores the posterior estimates for the propensity score. We pass this through to a second outcome model where we proceed to take a random draw from the posterior and pass it through to the outcome regression via a spline component. This allows us to express any non-linearity in the treatment effect. Additionally it can be seen as a way to augment the outcome model.\n",
+    "\n",
+    "While theoretically the propensity score contains no extra information if we are already conditioning on $X$, practically the literature reports that the propensity improves the stability of the causal estimates achievable in Bayesian causal modelling. "
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 375,
    "metadata": {},
    "outputs": [
     {
@@ -553,280 +632,125 @@
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+       "<title>cluster1000 x 2</title>\n",
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        "<g id=\"clust3\" class=\"cluster\">\n",
-       "<title>cluster1752</title>\n",
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-       "<g id=\"clust4\" class=\"cluster\">\n",
-       "<title>clusterbetas_trt (3)</title>\n",
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-       "<g id=\"clust5\" class=\"cluster\">\n",
-       "<title>clusterbetas (4)</title>\n",
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-       "<title>cluster34</title>\n",
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-       "<text text-anchor=\"middle\" x=\"359.25\" y=\"-347.83\" font-family=\"Times,serif\" font-size=\"14.00\">34</text>\n",
+       "<title>clusterbetas_trt (2)</title>\n",
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        "<g id=\"node1\" class=\"node\">\n",
        "<title>X</title>\n",
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        "<!-- p -->\n",
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        "<!-- X&#45;&gt;p -->\n",
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+       "</g>\n",
+       "<!-- p&#45;&gt;t_pred -->\n",
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+       "<title>p&#45;&gt;t_pred</title>\n",
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        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>alpha_trt&#45;&gt;p</title>\n",
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       "text/plain": [
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+       "<graphviz.graphs.Digraph at 0x328abc610>"
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-     "execution_count": 322,
+     "execution_count": 375,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -945,21 +869,21 @@
     "    return idata_treatment, idata_outcome, treatment_model, outcome_model\n",
     "\n",
     "\n",
-    "model = make_model(X_trt, X_outcome, T_data, Y_data, coords)\n",
+    "model_treatment = make_treatment_model(X_trt, T_data, coords)\n",
     "\n",
-    "pm.model_to_graphviz(model)"
+    "pm.model_to_graphviz(model_treatment)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Running Seperate Models"
+    "### Putting it all Together"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 313,
+   "execution_count": 378,
    "metadata": {},
    "outputs": [
     {
@@ -967,160 +891,11 @@
      "output_type": "stream",
      "text": [
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n"
-     ]
-    },
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-     },
-     "execution_count": 313,
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-   ],
-   "source": [
-    "model_treatment = make_treatment_model(X_trt, T_data, coords)\n",
-    "\n",
-    "pm.model_to_graphviz(model_treatment)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 314,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
+      "  warnings.warn(\n",
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, alpha_trt]\n",
+      "NUTS: [beta_trt_std, beta_std, beta_ps_spline, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n"
      ]
@@ -1128,7 +903,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "41acd636ecd540508c073b22df1b0315",
+       "model_id": "1a76811217d640cbbf5a51577f56905a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1161,213 +936,60 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 44 seconds.\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n",
+      "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_std, alpha_trt]\n",
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
      ]
-    }
-   ],
-   "source": [
-    "with model_treatment:\n",
-    "    idata_treatment = pm.sample()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 315,
-   "metadata": {},
-   "outputs": [
+    },
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+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "8a9d63747b064de0b826cde118089813",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x32c3922f0>"
+       "Output()"
       ]
      },
-     "execution_count": 315,
      "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "model_outcome = make_outcome_model(\n",
-    "    X_outcome, Y_data, coords, propensity_score_idata=idata_treatment\n",
-    ")\n",
-    "pm.model_to_graphviz(model_outcome)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 316,
-   "metadata": {},
-   "outputs": [
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
+      "  self.pid = os.fork()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps_spline, beta_std, like, sigma]\n",
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps_spline, beta_ps, alpha_outcome, sigma]\n",
+      "NUTS: [beta_std, beta_ps_spline, alpha_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n"
      ]
@@ -1375,7 +997,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a07f62f995314c79af83505fa314ea4c",
+       "model_id": "aeea47d4f7a0434689cc95d750a0c346",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1408,18 +1030,63 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 7 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 6 seconds.\n"
      ]
     }
    ],
    "source": [
-    "with model_outcome:\n",
-    "    idata_outcome = pm.sample()"
+    "priors = {\n",
+    "    \"beta_\": [0, 1],\n",
+    "    \"beta_trt\": [0, 1],\n",
+    "    \"alpha_trt\": [0, 1],\n",
+    "    \"alpha_outcome\": [0, 1],\n",
+    "}\n",
+    "\n",
+    "joint_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
+    "\n",
+    "with joint_model:\n",
+    "    idata_joint = pm.sample(tune=2000, target_accept=0.98)\n",
+    "\n",
+    "(\n",
+    "    idata_treatment_2s_joint,\n",
+    "    idata_outcome_2s_joint,\n",
+    "    treatment_model_joint,\n",
+    "    outcome_model_joint,\n",
+    ") = make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 387,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = az.plot_forest(\n",
+    "    [idata_outcome_2s_joint, idata_joint],\n",
+    "    var_names=[\"beta_\"],\n",
+    "    model_names=[\"2 Stage\", \"1 Stage\"],\n",
+    "    combined=True,\n",
+    "    figsize=(10, 4),\n",
+    ")\n",
+    "\n",
+    "ax[0].axvline(2, label=\"True Treatment Value\", color=\"k\")\n",
+    "ax[0].set_title(\"Comparing Joint and 2 Stage Propensity Score Parameter Fits\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 317,
+   "execution_count": 389,
    "metadata": {},
    "outputs": [
     {
@@ -1443,6 +1110,7 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
+       "      <th></th>\n",
        "      <th>mean</th>\n",
        "      <th>sd</th>\n",
        "      <th>hdi_3%</th>\n",
@@ -1456,39 +1124,125 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-0.840</td>\n",
+       "      <td>0.121</td>\n",
+       "      <td>-1.072</td>\n",
+       "      <td>-0.618</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2995.0</td>\n",
+       "      <td>2858.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.980</td>\n",
-       "      <td>0.079</td>\n",
-       "      <td>1.831</td>\n",
-       "      <td>2.123</td>\n",
+       "      <td>1.965</td>\n",
+       "      <td>0.077</td>\n",
+       "      <td>1.820</td>\n",
+       "      <td>2.104</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>6790.0</td>\n",
-       "      <td>3176.0</td>\n",
+       "      <td>4779.0</td>\n",
+       "      <td>3131.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>0.974</td>\n",
-       "      <td>0.049</td>\n",
-       "      <td>0.879</td>\n",
-       "      <td>1.060</td>\n",
+       "      <td>0.968</td>\n",
+       "      <td>0.041</td>\n",
+       "      <td>0.891</td>\n",
+       "      <td>1.042</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>2177.0</td>\n",
-       "      <td>2267.0</td>\n",
+       "      <td>2562.0</td>\n",
+       "      <td>2515.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x2]</th>\n",
-       "      <td>1.016</td>\n",
-       "      <td>0.116</td>\n",
-       "      <td>0.780</td>\n",
-       "      <td>1.224</td>\n",
+       "      <td>0.998</td>\n",
+       "      <td>0.097</td>\n",
+       "      <td>0.805</td>\n",
+       "      <td>1.172</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2181.0</td>\n",
+       "      <td>2465.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>0.103</td>\n",
+       "      <td>0.444</td>\n",
+       "      <td>-0.710</td>\n",
+       "      <td>0.936</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>1669.0</td>\n",
+       "      <td>2135.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>4.021</td>\n",
+       "      <td>0.162</td>\n",
+       "      <td>3.724</td>\n",
+       "      <td>4.331</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
+       "      <td>1810.0</td>\n",
+       "      <td>1882.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>1.976</td>\n",
+       "      <td>0.078</td>\n",
+       "      <td>1.832</td>\n",
+       "      <td>2.121</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>5828.0</td>\n",
+       "      <td>3089.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x1]</th>\n",
+       "      <td>0.968</td>\n",
+       "      <td>0.054</td>\n",
+       "      <td>0.871</td>\n",
+       "      <td>1.074</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>1995.0</td>\n",
+       "      <td>2302.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x2]</th>\n",
+       "      <td>1.001</td>\n",
+       "      <td>0.103</td>\n",
+       "      <td>0.810</td>\n",
+       "      <td>1.193</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>1661.0</td>\n",
-       "      <td>2262.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>1870.0</td>\n",
+       "      <td>2288.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>3.951</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>3.570</td>\n",
+       "      <td>4.309</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>1289.0</td>\n",
+       "      <td>1966.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1496,54 +1250,100 @@
        "</div>"
       ],
       "text/plain": [
-       "             mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "beta_[trt]  1.980  0.079   1.831    2.123      0.001    0.001    6790.0   \n",
-       "beta_[x1]   0.974  0.049   0.879    1.060      0.001    0.001    2177.0   \n",
-       "beta_[x2]   1.016  0.116   0.780    1.224      0.003    0.002    1661.0   \n",
-       "\n",
-       "            ess_tail  r_hat  \n",
-       "beta_[trt]    3176.0    1.0  \n",
-       "beta_[x1]     2267.0    1.0  \n",
-       "beta_[x2]     2262.0    1.0  "
+       "                              mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
+       "1-stage-model alpha_trt     -0.840  0.121  -1.072   -0.618      0.002   \n",
+       "              beta_[trt]     1.965  0.077   1.820    2.104      0.001   \n",
+       "              beta_[x1]      0.968  0.041   0.891    1.042      0.001   \n",
+       "              beta_[x2]      0.998  0.097   0.805    1.172      0.002   \n",
+       "              beta_ps        0.103  0.444  -0.710    0.936      0.011   \n",
+       "              alpha_outcome  4.021  0.162   3.724    4.331      0.004   \n",
+       "2-stage-model beta_[trt]     1.976  0.078   1.832    2.121      0.001   \n",
+       "              beta_[x1]      0.968  0.054   0.871    1.074      0.001   \n",
+       "              beta_[x2]      1.001  0.103   0.810    1.193      0.002   \n",
+       "              alpha_outcome  3.951  0.200   3.570    4.309      0.006   \n",
+       "\n",
+       "                             mcse_sd  ess_bulk  ess_tail  r_hat  \n",
+       "1-stage-model alpha_trt        0.002    2995.0    2858.0    1.0  \n",
+       "              beta_[trt]       0.001    4779.0    3131.0    1.0  \n",
+       "              beta_[x1]        0.001    2562.0    2515.0    1.0  \n",
+       "              beta_[x2]        0.001    2181.0    2465.0    1.0  \n",
+       "              beta_ps          0.008    1669.0    2135.0    1.0  \n",
+       "              alpha_outcome    0.003    1810.0    1882.0    1.0  \n",
+       "2-stage-model beta_[trt]       0.001    5828.0    3089.0    1.0  \n",
+       "              beta_[x1]        0.001    1995.0    2302.0    1.0  \n",
+       "              beta_[x2]        0.002    1870.0    2288.0    1.0  \n",
+       "              alpha_outcome    0.004    1289.0    1966.0    1.0  "
       ]
      },
-     "execution_count": 317,
+     "execution_count": 389,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "az.summary(idata_outcome, var_names=[\"beta_\"])"
+    "compare_estimate = pd.concat(\n",
+    "    {\n",
+    "        \"1-stage-model\": az.summary(\n",
+    "            idata_joint, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "        \"2-stage-model\": az.summary(\n",
+    "            idata_outcome_2s_joint, var_names=[\"beta_\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "    }\n",
+    ")\n",
+    "compare_estimate"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here both models seem to recover substantially similar and correct results. This is good to see, but we'll try our hand at some more datasets below where this relationship breaksdown due to the feedback effects within the joint-model specification. "
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Running Joint Distribution Models"
+    "### Causal Estimate with Do-Operator\n",
+    "\n",
+    "We can also confirm the model implications through counterfactual imputation. This ties the Bayesian setting back the potential outcomes framework. The fundamental problem of causal inference, when seen as a missing data problem allows us to derive causal estimands through imputation of the potential outcomes. Here we \"push forward\" the posterior predictive distribution for $Y$ under different treatment settings. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 390,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_outcome_trt = X_outcome.copy()\n",
+    "X_outcome_trt[:, 0] = 1\n",
+    "\n",
+    "X_outcome_ntrt = X_outcome.copy()\n",
+    "X_outcome_ntrt[:, 0] = 0"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 246,
+   "execution_count": 395,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [alpha_outcome, alpha_trt, beta_ps, beta_ps_spline, beta_std, beta_trt_std, like, sigma, t_pred]\n"
+      "Sampling: [like]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "79fd84e09e7040df9925a6f01b893a04",
+       "model_id": "36e14d1731ab4755a5b04cd26d49f100",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "  0%|          | 0/3000 [00:01<?, ?it/s]"
+       "Output()"
       ]
      },
      "metadata": {},
@@ -1551,269 +1351,10 @@
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "40fe96bcc004491aab5704cd9495b4a6",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/3000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ee15ad7b9f244695925ac3bf5c6d84a3",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/3000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c9647fae91384952a0921942477ff653",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/3000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "with model:\n",
-    "    idata = pm.sample_prior_predictive()\n",
-    "    idata.extend(pm.sample(tune=2000, target_accept=0.95, nuts_sampler=\"numpyro\"))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 247,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>alpha_trt</th>\n",
-       "      <td>-1.075</td>\n",
-       "      <td>0.131</td>\n",
-       "      <td>-1.327</td>\n",
-       "      <td>-0.840</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>3854.0</td>\n",
-       "      <td>2994.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[x1]</th>\n",
-       "      <td>0.520</td>\n",
-       "      <td>0.081</td>\n",
-       "      <td>0.368</td>\n",
-       "      <td>0.670</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>4838.0</td>\n",
-       "      <td>3289.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_trt_[x2]</th>\n",
-       "      <td>1.324</td>\n",
-       "      <td>0.133</td>\n",
-       "      <td>1.069</td>\n",
-       "      <td>1.569</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>3312.0</td>\n",
-       "      <td>2772.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>4.225</td>\n",
-       "      <td>0.126</td>\n",
-       "      <td>3.996</td>\n",
-       "      <td>4.470</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>2476.0</td>\n",
-       "      <td>2470.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[trt]</th>\n",
-       "      <td>1.822</td>\n",
-       "      <td>0.084</td>\n",
-       "      <td>1.671</td>\n",
-       "      <td>1.985</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>5440.0</td>\n",
-       "      <td>3120.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[x1]</th>\n",
-       "      <td>1.090</td>\n",
-       "      <td>0.044</td>\n",
-       "      <td>1.009</td>\n",
-       "      <td>1.171</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>3610.0</td>\n",
-       "      <td>3085.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[x2]</th>\n",
-       "      <td>0.971</td>\n",
-       "      <td>0.083</td>\n",
-       "      <td>0.820</td>\n",
-       "      <td>1.129</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>3130.0</td>\n",
-       "      <td>3196.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>-0.187</td>\n",
-       "      <td>0.385</td>\n",
-       "      <td>-0.906</td>\n",
-       "      <td>0.523</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2247.0</td>\n",
-       "      <td>2436.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "alpha_trt     -1.075  0.131  -1.327   -0.840      0.002    0.002    3854.0   \n",
-       "beta_trt_[x1]  0.520  0.081   0.368    0.670      0.001    0.001    4838.0   \n",
-       "beta_trt_[x2]  1.324  0.133   1.069    1.569      0.002    0.002    3312.0   \n",
-       "alpha_outcome  4.225  0.126   3.996    4.470      0.003    0.002    2476.0   \n",
-       "beta_[trt]     1.822  0.084   1.671    1.985      0.001    0.001    5440.0   \n",
-       "beta_[x1]      1.090  0.044   1.009    1.171      0.001    0.001    3610.0   \n",
-       "beta_[x2]      0.971  0.083   0.820    1.129      0.001    0.001    3130.0   \n",
-       "beta_ps       -0.187  0.385  -0.906    0.523      0.008    0.006    2247.0   \n",
-       "\n",
-       "               ess_tail  r_hat  \n",
-       "alpha_trt        2994.0    1.0  \n",
-       "beta_trt_[x1]    3289.0    1.0  \n",
-       "beta_trt_[x2]    2772.0    1.0  \n",
-       "alpha_outcome    2470.0    1.0  \n",
-       "beta_[trt]       3120.0    1.0  \n",
-       "beta_[x1]        3085.0    1.0  \n",
-       "beta_[x2]        3196.0    1.0  \n",
-       "beta_ps          2436.0    1.0  "
-      ]
-     },
-     "execution_count": 247,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "az.summary(\n",
-    "    idata, var_names=[\"alpha_trt\", \"beta_trt_\", \"alpha_outcome\", \"beta_\", \"beta_ps\"]\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 194,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "X_outcome_trt = X_outcome.copy()\n",
-    "X_outcome_trt[:, 0] = 1\n",
-    "\n",
-    "X_outcome_ntrt = X_outcome.copy()\n",
-    "X_outcome_ntrt[:, 0] = 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 195,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: [like]\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "56eeb69cebd442c9bbe7d9a65697478d",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1828,7 +1369,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8dfe79e876a24e3ebe982422269986e0",
+       "model_id": "ff8196a6e63f455ea9535e8e197de939",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1852,23 +1393,23 @@
    ],
    "source": [
     "with pm.do(\n",
-    "    model,\n",
+    "    joint_model,\n",
     "    {\"T\": np.ones(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
     "    prune_vars=True,\n",
     ") as treatment_model:\n",
-    "    idata_trt = pm.sample_posterior_predictive(idata, var_names=[\"like\", \"p\"])\n",
+    "    idata_trt = pm.sample_posterior_predictive(idata_joint, var_names=[\"like\", \"p\"])\n",
     "\n",
     "with pm.do(\n",
-    "    model,\n",
+    "    joint_model,\n",
     "    {\"T\": np.zeros(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
     "    prune_vars=True,\n",
     ") as ntreatment_model:\n",
-    "    idata_ntrt = pm.sample_posterior_predictive(idata, var_names=[\"like\", \"p\"])"
+    "    idata_ntrt = pm.sample_posterior_predictive(idata_joint, var_names=[\"like\", \"p\"])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 196,
+   "execution_count": 396,
    "metadata": {},
    "outputs": [
     {
@@ -2245,14 +1786,14 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(7.38106334)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e07968f3-ecbf-41d2-97d3-6fc0826783e0' class='xr-array-in' type='checkbox' checked><label for='section-e07968f3-ecbf-41d2-97d3-6fc0826783e0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.381</span></div><div class='xr-array-data'><pre>array(7.38106334)</pre></div></div></li><li class='xr-section-item'><input id='section-3789f021-7111-43db-99d2-7d62b465ec81' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3789f021-7111-43db-99d2-7d62b465ec81' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-59f8a8b2-ded1-429e-b1f2-a6b5537783ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59f8a8b2-ded1-429e-b1f2-a6b5537783ce' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c401956c-7863-40ee-a43c-f21fef6a7402' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c401956c-7863-40ee-a43c-f21fef6a7402' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(7.45471953)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c727d4bf-02a8-47df-baeb-1ff6814fb473' class='xr-array-in' type='checkbox' checked><label for='section-c727d4bf-02a8-47df-baeb-1ff6814fb473' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.455</span></div><div class='xr-array-data'><pre>array(7.45471953)</pre></div></div></li><li class='xr-section-item'><input id='section-b67b1838-3eaf-4b2d-9de7-22237af58e7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b67b1838-3eaf-4b2d-9de7-22237af58e7b' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-edfc72e7-e43a-4970-ae88-601ea78970c9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-edfc72e7-e43a-4970-ae88-601ea78970c9' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0a853479-2be4-438b-a576-92323896df04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0a853479-2be4-438b-a576-92323896df04' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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-       "array(5.41605235)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f3ead9b2-8f79-4124-98b9-f465f0729d43' class='xr-array-in' type='checkbox' checked><label for='section-f3ead9b2-8f79-4124-98b9-f465f0729d43' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.416</span></div><div class='xr-array-data'><pre>array(5.41605235)</pre></div></div></li><li class='xr-section-item'><input id='section-11243071-1f2d-4906-a7ff-9e0e5ec1bbf8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11243071-1f2d-4906-a7ff-9e0e5ec1bbf8' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-97dd01ce-f2cf-45c1-82b2-0b6caeefa29c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97dd01ce-f2cf-45c1-82b2-0b6caeefa29c' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-135e8375-256c-4b07-8189-6c8f8667cd35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-135e8375-256c-4b07-8189-6c8f8667cd35' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(5.49030396)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f319ef9d-48cc-4002-9506-a997f80fc800' class='xr-array-in' type='checkbox' checked><label for='section-f319ef9d-48cc-4002-9506-a997f80fc800' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.49</span></div><div class='xr-array-data'><pre>array(5.49030396)</pre></div></div></li><li class='xr-section-item'><input id='section-62ed7958-e875-4fca-90e7-46685faf388c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-62ed7958-e875-4fca-90e7-46685faf388c' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-95fcfb85-d50c-4515-b894-26ec1bc6a455' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-95fcfb85-d50c-4515-b894-26ec1bc6a455' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9973325e-4970-4707-8f33-76c9365eb1c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9973325e-4970-4707-8f33-76c9365eb1c5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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+       "array(1.96441557)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-be656989-af66-4476-acd8-542b4d49a6bd' class='xr-array-in' type='checkbox' checked><label for='section-be656989-af66-4476-acd8-542b4d49a6bd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.964</span></div><div class='xr-array-data'><pre>array(1.96441557)</pre></div></div></li><li class='xr-section-item'><input id='section-f6bdb367-6245-45a3-9c5e-ecbba3012916' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6bdb367-6245-45a3-9c5e-ecbba3012916' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1470da34-8acf-4495-8ebd-e1a37eba7db9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1470da34-8acf-4495-8ebd-e1a37eba7db9' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7537fae0-7c59-4f5c-9e9b-457e70f11900' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7537fae0-7c59-4f5c-9e9b-457e70f11900' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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@@ -3059,12 +2600,13 @@
    "metadata": {},
    "source": [
     "## Nets Example\n",
-    "\n"
+    "\n",
+    "Next we'll asses a data set used by Andrew Heiss to demonstrate propensity score methods with `brms`. "
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-   "execution_count": 346,
+   "execution_count": 399,
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-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 25 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 27 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
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       "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
+      "Sampling: [alpha_outcome, beta_ps_spline, beta_std, like, sigma]\n",
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps_spline, beta_ps, alpha_outcome, sigma]\n",
+      "NUTS: [beta_std, beta_ps_spline, alpha_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n"
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@@ -3475,6 +3017,7 @@
     "    \"obs\": range(nets_df.shape[0]),\n",
     "}\n",
     "\n",
+    "# Process and Standardise Inputs\n",
     "N = nets_df.shape[0]\n",
     "X_trt = nets_df[[\"income\", \"temperature\", \"health\"]].values\n",
     "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
@@ -3502,24 +3045,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 349,
+   "execution_count": 403,
    "metadata": {},
    "outputs": [
     {
      "data": {
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ORnR0tMK4dNmPCUDu5+PUqVPFISjW1taoVKkSnj17hh07duDkyZPYsWMHatSoobQ+fvjhB5w/fx7VqlVDrVq1kJGR8YEaVB0nJyfo6+vj6dOnYt3L5J1vYdSoUQgJCYGOjg6qV6+OMmXK4OXLlwgKCkJAQAAGDRrEZF4TCESkFRYuXChIpVJh/Pjxxdrf19dXkEqlQt26dYXDhw+Ly9++fSv88MMPglQqFdq3by+kpaXJ7de+fXtBKpUK9erVE7Zs2SJkZ2cLgiAIb968EQYMGCBIpVJhzJgxgrOzs3DkyBFxvxcvXggdOnQQpFKpsGvXLrkyr127JsbSqFEj4erVq+K6qKgooWfPnoJUKhU8PT0VXoe3t7fw/PlzuWWZmZnC33//LdStW1fo0KGDGKPM6tWrBalUKjg6OgoDBw4UoqOjxXXp6emCIAhCRESEeA7eJ5VKBalUKjg7OwsHDx6UO3cjRowQpFKp8OOPP8rtk52dLXTv3l2QSqXC6NGjhcTERHHdyZMnBScnJ6FevXqCVCoVIiIiFI6ZnxkzZghSqVSYMWOG3PKYmBihUaNGglQqFRYvXiy8e/dOjON///ufWId3795Vem5Wr14tt/zgwYPiPl27dhUeP34srrtx44Z4rAsXLsjtJ6vboUOHFvo15RUZGSkcP35cSE5Ollv+8uVLwdPTU5BKpcKaNWsU9sv7Pl2/fr2QlZUlCIIgZGRkCFOmTBGkUqnQv39/hf1k7/3evXsLL168EJdfuXJFaNiwoVhH165dK9bred+2bdsEqVQqNGnSRMjMzCz0fitWrBCkUqng4OAg/PTTT8LNmzfF1/ghH3pfyxT3nI8ZM0aQSqVCnz595K6pwMBAwcXFJd9zt2fPHkEqlQpubm5y67KysoS1a9cKUqlUaNOmjXhtFoas/vNen3lfh5OTkyCVSoVTp04JgvDfeXF0dBQaNGggnDlzRtxedg+8c+eOULduXUEqlQobN24U7yvv3r0TFixYIEilUqFx48ZCbGys3PGGDh0q3t8mTZokpKSkCIIgCDk5OcL27dvFde9fixcuXBAcHByEpk2binHKyO5vDRs2VDhece5PixYtEu8j79f7w4cPhb1798ot+9B1LTt+fgYNGiRIpVLh9OnTCusyMjIEV1dXQSqVCuHh4fmWkdfly5fFY44YMUI4f/68kJqaWqh9x48fL0ilUsHd3V0ICQmRW/f06VNh48aNcsuWLl0qSKVSoVWrVsLt27fltu3SpYsglUqFiRMnyu1TmPdWTEyM4OrqKjg4OAjr1q0T79eCIAjBwcFC69atBalUKvj6+hbqdQnCf/fy/O6948aNE6RSqTB27FhBEAQhKSlJOHTokJCQkCC33Zs3b8T3x8yZMxXKkb2/HR0dhXnz5smde9nrU8V9XFXfN1JSUgR3d3dBKpUKP//8s/D27Vtx3YMHD4Ru3boJUqlU2Llzp9Lz+f5nY16///67IJVKha+++kq4c+eO3HmQ3SP69Okjt4/sWnJ0dBSaN28uXL9+XVxX2HuerA4+FJuM7DvD+/dG2Wf8+98lZE6ePClIpVKhZ8+ecvd3QRCEuLg4Ydu2bYW+7qhkcUAtkZaIjY0FgGJ3x5a1yA8ZMgQ9e/YUl5uamuK3336DpaUloqKi4OPjo3T/Nm3aYNSoUWJLtpmZmdgt+/z58+jfv7/cY28qV66M0aNHA8jtTqtMVlYWPD090axZM3FZlSpV8H//938AgNOnT4tdKmW++uorcZZWGT09PfTv3x9du3ZFREQEQkJClB5PV1cXf/zxBypVqiQuK0rraL9+/eQm1zI1NcWsWbOUvsbLly8jPDwcFhYWWLFiBczNzcV1nTt3xpgxY5CZmVnoYxdk9+7dSE5OhqOjI+bMmSO2gOno6GDcuHFo27YtMjMz5VrSCyMrKwtLly6Va1lo0KAB+vfvDwC4ePGiyl4DkNtS9uWXXypMUlahQgUsW7YM+vr6OHr0aL77t2rVCmPGjBFb+PT19TF79mwYGBjg5s2bePPmjbjts2fPcObMGQDA//3f/8m1vjRv3hwTJkxQaR29fPkSa9euBQCMGDECenqF7xz33XffoV69ehAEAXv37kX//v3RuHFjDB48GL///jtu3bpV7LiKc84fP36M8+fPQ19fH6tWrZK7plxcXDBr1iyl5y4jIwNeXl7Q1dXFmjVr5HpK6Orq4vvvv0fnzp0RExMjPrHjY8TFxWH69OnIyMiAubk5WrRoIbc+OzsbEyZMQIcOHcRlstbCzZs3IysrCx06dMDo0aPFe5+BgQF++ukn2Nvb4+3bt9izZ4/SY5ubm2PJkiVii6VEIsGwYcPQqVMnZGVlYevWrXLbr1q1CoIg4JdfflFofe/fvz+GDx+OlJQU7N+/X+nxinJ/kg03GDlypEK916pVCwMHDlR6jOLo27cvAMh15ZU5f/48EhMT4eTkVOhHB7Zo0UKM7+rVqxgzZgxcXFzQs2dP/PTTTzh37hyys7MV9gsNDcWZM2dgYGCAjRs3wtnZWW599erVxc8sAEhOThbrdv78+ahXr57ctrLPqZMnT8q1uMt86L21detWJCYmYsSIERg7dqxcj4VGjRph4cKFAHJ7anwsQRCwbds2sfv2l19+CQAoW7YsevfurTAsyMzMDPPmzUPlypVx4sQJZGVlKS3X3t4eCxYskBtmIHt9H3sfV+X3jYMHD+L58+fo2LEj5s6dKzdJaO3atfH7779DIpEoXI8FiY+Px7Zt22Bqaor//e9/ckOgjIyMMG/ePHzxxRe4ffs2goKCFPbPzs7GggUL0LBhQ3FZUb6PALlDABwcHBT+U8VTO2TDMfr27St3fwcAKysrjBgxQmGICakHu9kTaYmUlBQAKNbNMyUlRUxwhw0bprDe2NgYAwYMEMdP9uvXT2EbZcvyfngpWy8bpykb7/s+fX19pfvVqVMHjRs3RnBwMPz8/DB48GC59Y8ePcKxY8cQHh6ON2/eiF82oqOjAeR2v1TWRbdFixYf9eg5ZbE6ODjA0NAQb9++lZvQ7MqVKwCATp06KTwSBgD69Omj8Ezgj3H58mUAyLcL9vDhw3HhwgVxu8JydHRUOvRCtiy/uv0YOTk58PX1xeXLlxEREYHU1FSxi6hEIsHTp0+Rlpam9FqQ/ciQl+zZ00+ePEFERIT4w4qfnx8EQUCTJk2UJhL9+vXD77//rpKEPiMjAz/++CMSExPh6OiI7777rkj7m5qaYs+ePdi9ezf279+PR48eIS0tDdevX8f169exceNGdOjQAUuXLoWZmVmR4yvqOZe9v11dXRV+XAOAbt26YeHChUhPT5dbHhISglevXuGLL77Id54JNzc3nDp1CoGBgfjqq6+K9DrWr18vJruyR9PJumL//PPPSmf779Wrl9KyZNeKsnumLDH/6aefcPnyZUycOFFhm379+in9cj5kyBCcPn0afn5+4rKoqCiEhYWhXLlycslfXm5ubtiyZQsCAwOVri/K/Un2w9WpU6fg4OBQoo8q+/LLL/HLL7/g4sWLiI+PlxuHLUvwi/oYy0WLFqFVq1bYsWMHgoODkZWVhfv37+P+/fvYt28f7O3tsXz5crmxz2fPngUAdOzYUa6rdH6Cg4ORlpaGKlWqKK2T+vXro2HDhrhx4wYuX76sdJ6H/N5bp0+fBqD8fgUArVu3hr6+Pm7cuIGsrKwi/fB3584d8TMzKysLz58/R2JiIoDcH5Lff9b81atXce7cOTx9+hQpKSnIyckBkHv9pKWl4dmzZ0rnhihokt2PuY+r8vtGQee6Tp06sLGxQUREBGJiYhQS1/xcuHABGRkZcHNzU7qPjo4O2rVrh1u3biEgIEBhHqOyZcvme60XVn6PpivssLYPkb2mCxcuoH///kzcNRiTeSItIfuFOy0trcj7Pn/+HDk5OTAwMFD6xRvI/YUa+K/F5n3Kvqjk/VKmbL3si6Psh4j3VapUKd9HadWqVQvBwcEK8axfvx6rVq0Sv3Aok7f1Na+aNWvmu09h5Dcpl5WVFaKjo5Gamiq+Zlnc+T0a0MbGBqampkhOTv6omGRkx5PV4/tkyerr16+RnJxc6EeY5fd+kdV9fnVbXElJSRgzZgxu3LhR4HbKvlzkV0flypXDkydPkJqaKi6TnbP83hempqaoWLHiR/9gIQgCZs2aheDgYFSoUAFeXl5Kxw4XxNDQEKNGjcKoUaMQGxuL0NBQBAUFiWOcz549Cw8PD3EsemEV55wX9P42NDRE9erV5Sb7AoDw8HAAucnr+z/Sybx9+xbAf72RiuLp06dibPr6+qhQoQJcXFzwzTffKJ080NLSUukkX0lJSYiPjwcApYkMUPA9M7/3lWx53mtRdl7evXuX73mRzbeQ33kpyv3p66+/xj///IO1a9fi8OHDaNWqFVxcXNC0adOP+sFTmTJlyqBLly44dOgQfHx8xKcxxMfH4+LFi9DX1y/W7OqdOnVCp06dkJycjNDQUISEhODcuXMIDQ3FgwcPMGrUKPj4+Ij1+/jxYwBQaJHPz5MnTwDk1ld+P3bUrl0bN27cUPoeyO+9lZKSIk4+lt+kgDLv3r1DYmJivuPWlUlOThbnBNDR0YGZmRlcXV3x1VdfoU+fPuJrycjIwKRJk8TeSfmR/RDwvvyuC6Bk7uPF/b4hu7b++OMPrFu3TmkcCQkJAHKvrcIm87Jyb968me81GxcXJ5b7vurVqxdqjogPKcyj6YrL3d0dNjY28PPzQ+vWrdG6dWu4uLjA1dW10L1oqHQwmSfSErIvWMVJLGQfblZWVvl+KZF9WcgvOVM2UU3espR9IBfU2vP+5HbK1uWNJzAwECtWrICuri6mTJkCNzc3VKlSBcbGxpBIJFi5ciXWrVuXb7fA/GbkLqz89pe1Tgh5JhiS/ejyoWdalylTRmXJvCxJze+c5l2ekpJS6GS+oNesakuWLMGNGzdQo0YNTJ48Gc7OzrC0tBST3zZt2iA2Njbf1vL8Wg+U1ZHsnCn7wi1Tvnz5j07mf/75Z/j4+MDCwgJbtmxRyZMLKlasiI4dO6Jjx46YNm0ali9fji1btsDf3x/BwcFo3Lhxocsqzjkv7Pv7fbJEPT4+XkyW85N3ssCivJaitPLm9/7O+6NPftdUQffMolyLsvOSNxHLT37npSj3J0dHR+zcuRNr1qzBtWvXsG/fPuzbtw8SiQQtW7bE7NmzP5isFVXfvn1x6NAh/PPPP2Iy7+Pjg8zMTHTu3PmDT4AoiKmpKVq0aIEWLVpg/PjxOHnyJCZNmoS4uDjs27cP33//PQCI99rC9lwpzP1B2eeUTH71kfeeX1BdA1Do3VKQvLORf8iGDRtw5swZVKhQAVOnTkWTJk1QoUIF8bofPHgwrl+/nu/n6Ydaaj/2Pq7K7xuy8x0WFpZvvDJFOdeya1Y2Ud6HKLtmP/b7SEkzMTHB7t278ccff+DUqVM4fvw4jh8/DiD3R6ypU6eiffv2ao6SACbzRFqjYcOG2LVrV7G63cm+VMfHx0MQBKUfeq9fv5bbtjR86Mu8bF3eeGRj7L799luljw2LiYlRcYTFJ/uykTcpeJ8qW7VNTEzw9u1bxMXFKW21kLUQAKVbx0WRlZUlzgq8du1ahZbNrKws8X2qCrIvUx96H+Y9b8WxcuVK7Nq1CyYmJti4caPcDP+qoqenh2nTpuHo0aN49eoVbt26VehkvrjnXPb+/tB7+EMJTo8ePfD7778XKkZ1yPtFOy4uDtbW1grbFHTPzO99lXe5bF/Z8Ro1apTvGHxVa9CgATZv3oyUlBRcv34d/v7+8PHxgZ+fn9iqXZwhG8q4uLjAzs4OYWFhCA8Ph1QqFWexL2oX+4J06dIFJ06cwMmTJxEaGioul53rpKSkQpVTlPtDUe6p78/6rq7ZwGWfp0uWLEHr1q0V1hf387S07+MFMTExQVJSEk6fPi03a7sqygWAcePGYdKkSSorV5NUqlQJS5Yswc8//4ywsDD4+/vj1KlTuH37Nn744Qfs2bOn0D1dqORwAjwiLdG2bVuYmJggLi4Op06dKtK+1apVg46ODjIyMhQmlJN5+PAhABRqLKGqREdH55sMyB7dljceWdfEvBPG5HXv3j3VBvgRZHG/381Y5sWLFyprlc97PFk9vu/BgwcAclsTC9sqXxwfM/Y2Pj4eqampsLCwUNpF+cGDB0ontiou2TmTdad9X0pKykf9QLRp0yasW7cOhoaGWLduHerXr1/ssgqio6ODKlWqAIDc440Kqo/innPZhIiyrqbvy8jIECdQykvWNV32ftRUZmZmYotsfo+RLOieKevW/T5ZeXmvRdl5kT3HvDSVKVMGrVu3xtSpU3HixAlUq1YNsbGxKp/cMu9EeOHh4QgLC0OFChWUJpIfSzY8KG/Lr+wcF/TYRBnZe/zRo0f5PtqwOJ+bZcuWFX8cyu9+XRo+9HmakJBQrGEuQOnfxwsi62FS1HtOQfdObbmX5acon9V6enpwdnbGmDFjcPDgQXTr1g3Z2dk4ePBgCUZIhcVknkhLmJmZiRMx/frrrwV2/Q0ODha78JUpU0b8wFbW/S49PV2cNKpVq1aqDPuDMjMzceDAAYXl4eHhCAoKErt8ysgmk1LWWurn56dRybws7tOnTytN2g8dOqTS48nqbdeuXUrXy+q9pOtX1j2yqF1D8+6bnJysdP9NmzZ9XHDvkZ2LwMBApV+q9+/fX+zJ7/bt24fffvsN+vr6+OOPPxSeb19UBfUQSEpKUppYFFQfxT3nslnh/f39xaQgr+PHjystz8XFBZaWlrh37x78/f0/8IrUT/b+UHbPFAQBO3fulNvufQcOHFD63GhZy3vee5udnR2kUikSExPFFmt1MDY2FnuPvHz5slD7FPaa/+qrr6Crq4ujR4+KnzeFfbZ8XoXpLSMbq533WpA9P/7MmTNKZ59/X+PGjWFsbIzo6Ghx8ry8bt26hRs3bih8ThWG7GkFf/31V5H2UyVZvSk7n1u3bi12wl3a9/GCyM719u3b8/1RRhnZ94383tdt27aFvr4+Ll68mO+8GZqsoNf3IbLW+MLeI6hkMZkn0iIeHh5o2LAhXr9+jUGDBuGff/5RGIv15MkTLFy4EMOHD5frHiibPXvPnj1yj4RJTk7G9OnTER8fDxsbm2JNRFRcenp6WLNmDQICAsRlMTExmDFjBoDcD+G8XcZlXYc3bNgg18MgNDQUs2fPLvJjXUpSixYt4ODggISEBEydOlWua+eZM2ewYcMGlXavHDx4MExNTXH37l38+uuvYhKRk5ODjRs3io8RGzVqlMqOqYxsPPjDhw8LHBP9PjMzM9jb2yMrK0vuNWRnZ2PDhg04fvy4Ss9Z9erV0aFDBwiCgBkzZsi1wvv7+8PLy6tYxztx4gQWLFgAHR0d/N///Z9KxhV+9913mDJlCq5evarwA8Pdu3cxfvx4pKSkoEKFCnLJpZWVFcqUKYO4uDilLczFPec1atRAu3btkJmZiR9//FGuFS84OBhLlixRup+hoSEmTJgAAJg4cSL+/fdfhS/Y4eHh+O233xAcHFyEM6R633zzDfT09HD27Fls2bJFbDHPyMjAL7/8gvDwcJQtWzbfya8SExMxe/ZscaiNIAjYtWsXTp8+DV1dXYVrcerUqZBIJFi0aBH279+vMFY5IiIC//vf/8TZuT/G/Pnzcfz4cYUJVQMDA3H16lUAyPdpA++TtYLnvY8rY21tjdatW+PVq1fYvXs3gOJ1sV+3bh2GDBkCHx8fhR9KX758iZ9++kn8MTjv0xCcnJzQsWNHvHv3Dt99951cF3wg91FcmzdvFv82NTUV63bRokW4c+eOuO758+eYOXMmgNzZ+vObfDA/3333HSwsLODt7Y0lS5YodP1PTEzEgQMHxEdZlgTZ5+nSpUvFHnKCIOCff/7Bli1biv15Wtr38YIMHDgQtra28Pf3x9SpUxUS0JSUFBw/fhxLliyRWy57X8uGNr6vYsWKGDFiBDIzM/Htt98q/DgpCAJCQ0Mxf/78fHtEqpPs9d26dUvpxMrbtm3Dtm3bFIZEvHjxQmyEKew9gkoWx8wTaREDAwNs3rwZs2bNwqlTpzBjxgzMnz8f1apVg6GhIV6+fCl+qa5UqZLcF4z27dtjzJgx2LBhA6ZOnYrly5ejXLlyePz4MVJTU2Fubo5Vq1YpnXimpDRs2BBlypTBsGHDYGdnBxMTE4SHhyMrKwu2trYKM/0OHDgQe/bswfPnz/Hll1+iRo0ayMzMxJMnT1C7dm107dq1yM+KLSk6OjpYtmwZhg0bhnPnzqFNmzaoVasWEhISEBUVhWHDhsHX1xdRUVEfPaMtkPvFYtmyZZg4cSL++usv/PPPP6hWrRpevHiBuLg46OjoYN68eahTp44KXl3+rKys0KxZM1y7dg3u7u6oXbs2DA0NUb58eaxcubLA/SdPnozx48dj3759OHXqFKpWrYqoqCgkJCRg/PjxOHz4sNKW4OKaP38+7t27h9u3b8Pd3R329vZITU3F06dP0a5dO6SkpOT7KLD8TJs2DTk5OTA1NcXOnTvFFtz3zZs3r9BfhnJycuDj4wMfHx9xpngDAwO8fPlS/HJqZmaGVatWyY3JlUgk6NKlCw4ePIjevXvD3t5eXC9rcS7uOV+4cCEGDx6M0NBQdOjQAVKpFKmpqXjy5Anc3Nzw9u1bBAYGKry/hwwZgujoaGzYsAEeHh6wsLCAra0tcnJyEBUVJc6e/bG9GT6Wo6Mj5syZg0WLFuH//u//sHnzZlSuXBnPnj1DUlISDAwM8Pvvv+f7GKjx48fjf//7H3x9fVGjRg25upo8ebLC7Ppt27bFvHnz8Msvv2Du3LlYsmQJ7OzsIJFIEBMTI36pXrBgwUe/tpCQEOzduxd6enqoXr26+IOPrJ579uyJZs2aFaqsL7/8Eg8ePMC4cePg4OAgDh1YsWKFwrnp27cvzp8/j6ysrCI9Wz4viUSC4OBgBAcHQ0dHB9WqVYOZmRni4+MRExODrKws6OrqYubMmXBycpLb95dffsHr169x48YN9O/fHzY2NrC0tBTPr42NDb799ltx+4kTJ4pjhXv37o3atWtDT09P7Cpep04d/PTTT0V+DZUqVcLatWvxww8/YNu2bdi1axdq1KgBY2NjxMfHIzIyEoIgoGvXrkUuu7A8PT1x5coV+Pr6ok2bNqhevTpevXqFly9folevXoiOji7wB5r8lPZ9/EPKlCmD9evXY8yYMfDx8cHx48dRo0YNmJqa4s2bN4iIiEB2drbC2O9WrVrB3NwcwcHBaNeuHWxtbaGnp4fWrVuLc/ZMmjQJL1++xJEjRzB8+HBUqFABlStXFoc0yn4kkU36qEnq1asHOzs78bOuRo0a0NfXR506dTBnzhxERUVh+/btWLJkCWxsbFCuXDkkJyfj2bNnyM7OhlQqLfHGASocJvNEWqZMmTJYvXo1goKC4O3tjaCgIERGRiIzMxOWlpZo164dOnbsiO7duysk5lOmTEGjRo2wY8cO3L59G69fv4a1tTV69uyJcePGKX1eaUmSSCTw8vLC+vXrceTIETx8+BCWlpZwd3fHhAkTFGYRNjU1xe7du7F8+XJcuHABT548QcWKFTFq1Ch4eHhoTCIvU6dOHRw8eBCrVq3C5cuX8eDBA1SvXh0//fQTvv76a/j4+AAo2uRJsq6Pylo2OnTogEOHDmHDhg24du0a7t27h7Jly6Jjx4749ttv851rQNWWL1+O5cuX4/LlywgLC0NWVhZsbGwKta+bmxs2btyIP//8E3fv3sWTJ09gb2+P2bNno2fPnjh8+LBKY61YsSIOHDiAP/74A2fPnsXDhw9RpUoVTJgwAWPGjME333xT5DJlLecFzUwumw25MLZs2YJLly7h4sWLePDgAV6+fIm3b9/CxMQEzs7OaNWqFb7++mulM6jPmTMHZcqUwdmzZ3H//n2Flv3invNKlSph//79WL16NXx9ffHgwQO5czdo0CAAyt/fU6ZMQfv27bFr1y4EBwfj3r17KFOmDCpWrIgOHTqgc+fOaN68eaHPT0kZMmQIHBwcsGXLFly/fh337t0T77Njx47N91GQQO6Qgt27d2PNmjUICQlBRkYGGjRogNGjR6Njx45K9/n666/RpEkTbN++HdeuXcPDhw9hYGCASpUqoVmzZujYsSPatm370a9r1qxZOHv2LIKDgxEdHY3nz5/D2tpafB8VpTfJmDFjkJOTg2PHjuHhw4diS6yyGbzbt28PS0tLJCQkFHviu8mTJ6Nly5a4ePEibt68idjYWERFRUFfXx92dnZwcXHB4MGDlf5waW5ujh07duDvv/+Gj48PHjx4gNevX6NChQro3LkzevfuLbe9kZERNm/ejD179uDw4cPinAa1atVC165dMXLkyGI/f7tx48Y4fvw4/vrrL5w/f158hGzFihXRunVrtG/fXuwiXhKcnJywa9curFq1Cjdu3MCTJ09QvXp1jBkzBkOHDv2oBLS07+MFqVWrFg4fPozdu3fjzJkzePToESIiIlChQgU0adIEbdu2VTjXpqam2Lx5M1avXi0++jAnJ0fus0xPTw+//fYbunfvjr///hs3b97E3bt3YWZmBjs7OzRs2BCdO3cW51/QJDo6Oli/fj1WrFiBoKAghIaGyg2tGDRoEMzNzXHt2jU8f/4cd+/ehbm5Ob744gv06NED/fr1K9XGH8qfRCjKABIiIhXw9/fH8OHDC/0InU9RQkICmjVrBjMzsyK1/I4bNw7nzp3Dt99+i+nTp5dghETFl5OTA1dXV7x9+xYBAQEwNzdXd0ilZtiwYQgICMD27dvV3rtA0yQlJaFly5YQBAF+fn4f9Ug6IiLimHkiIrWQTYBX1NZy2ezhqnwGNJGqnT59Gm/fvkXt2rU/q0SePuzo0aPIyMhAhw4dmMgTEakAk3kiohJy//597Nu3T+7xe4Ig4PDhw/jjjz8AQOyKXBjbtm1DVFSUOG6PSJ1ev36NjRs3IiEhQW75xYsXMX/+fABFe3/Tpy0xMVGcyXzIkCFqjoaI6NPAMfNERCUkMTERP/30ExYuXIgqVarAwsICERER4gRfAwcOhJubW4HlfPvtt7h//z5evXoFABg9erT4nGIidUlPT8fvv/+O5cuXo1KlSihfvjxiYmLE92m7du2YtBE2bNiA8+fP48GDB0hKSkKrVq04/ICISEWYzBMRlZDatWtj9OjRuHz5MqKjoxEdHQ1TU1M0b94cAwYMKPRMxaGhocjMzES9evUwcOBADBw4sIQjJypYuXLl4OHhgUuXLiEyMhL37t2DkZERGjVqhF69eqFfv34qeVIDabfHjx8jODgYFhYW6NWrF2bNmqXukIiIPhmcAI+IiIiIiIhIy3DMPBEREREREZGWYTJPREREREREpGU4Zp5K1PuzHJNmMTc3x5s3b9QdBimRkpICW1tbAEBERATKlCmj5ohIGV5Dmo31o9lYP5qPdaTZWD+arSj1Y2lpWaxjsGWe6DOmo8NbANHH4DWk2Vg/mo31o/lYR5qN9aPZSqN++A4gIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyeuoOgIiIiIiIiDTPiRMncPPmTdy7dw+PHj1CZmYm5s6di+7duxe5rJs3b2Lfvn24desWEhISYGxsDCsrKzg4OKBp06bo1q2buK2Pjw8WL15c7GN9LpjMExERERERkYL169cjJiYGFhYWKFeuHGJiYopVjo+PD3755Rfo6uqiRYsWsLW1xbt37xAVFYUrV67gxo0bcsk8FQ6TeSIiIiIiIlIwe/Zs2NraonLlyti+fTvWrl1b5DLS09OxYsUKmJiYYMOGDahVq5bc+qysLAQHB6sq5M8Kk3kiIiIiIiJS4Orq+tFlPHr0CKmpqWjTpo1CIg8Aenp6aNq0qfj3okWLcPz4cQDA4sWLsXjxYnHdtWvXAAD37t2Dj48Prl+/jtjYWGRlZaFq1aro3LkzhgwZAj09xTT3+vXr2LBhA+7duwcDAwM0adIEEyZMwIIFC3Djxg2xbBlBEODj44MjR47g0aNHyM7ORo0aNdC3b1/06NHjo8+LKjCZJyIiIiIiKipBALLS1Hf4DAMgMzX/DfSMAYmk9ALKh5mZGQDgxYsXyMnJgY7Oh+dgb9u2LZKTk3Hx4kW0adMG9vb2CtscPnwYfn5+aNCgAZo3b453797h+vXrWLt2Le7cuYOlS5fKbe/v74/JkydDT08PHTp0QPny5XH9+nWMHTsWZcuWVShfEATMnz8fp0+fRrVq1dC5c2fo6ekhICAAv/zyC548eYIJEyZ8xFlRDSbzRERERERERSEIMN73NXRf3FBbCFkATD+wPrtKI6QN3Kn2hL5q1apwcHDA/fv38cMPP6Bbt26oV68eqlWrBl1dXYXt27Zti7dv34rJvLIJ8IYPH46pU6fK7S8IAn799VccPXoUN2/ehLOzMwAgOzsbS5YsgSAI+PPPP+Hk5CTu8/PPP+PYsWMK5R8+fBinT59Gjx49MGPGDLGlPzMzE7NmzcLu3bvRqVMn1KlT56PPz8fgo+mIiIiIiIiKTP2t3tpAIpHg119/xRdffIEbN25g8eLFGDx4MDp06AAPDw/4+PggOzu7SGVWrlxZ4YcAiUSCvn37AgACAwPF5Tdv3kRMTAxat24tl8gDwNixY5X+oHDgwAEYGxtj6tSpcl329fX1MW7cOADA6dOnixRzSWDLPBERERERUVFIJLmt3mrsZm9hYYHExMT8N9CQbvYAYGNjg40bNyI8PByBgYG4c+cObt26haCgIAQFBeHEiRNYuXIlDAwMClVeZmYm9u/fjzNnzuDp06dIS0uDIAji+tevX4v/fvDgAQCgfv36CuVYW1ujYsWKePHihbgsPT0djx49Qvny5bF9+3aFfbKysgAAz549K9yLL0FM5omIiIiIiIpKIgH0TdR3eIMygH6G2o5fHFKpFFKpVPw7ODgYCxYsQHBwMA4ePIjBgwcXqpxZs2bBz88P1apVg7u7OywtLaGnp4fk5GTs27cPGRn/nZeUlBQAuT9+KGNlZSWXzCclJUEQBLx69QqbN2/ON4a0NPX9kCPDZJ5KVHZ2NnJyctQdBuUjMzMTmZmZ6g6DlMhbL6wnzcW60WysH83G+tF8rCPNVtr1I+sKn52drbLj1q9fH99++y2WLl2KwMBA9OvXr8Bj3b17F35+fnB1dcWyZcvkusmHhYVh3759yMnJEfczNjYGAMTFxSmNOy4uDsB/370MDQ0BAA4ODti0adMH4//QeSiN+mEyTyUqKipK7pcx0iyJiYl48+aNusMgJfL+2hsRESF+EJFm4TWk2Vg/mo31o/lYR5qttOsnISEBQG7yq8ou5snJyQByv/vIypUd69WrVwrHunnzJgCgTp06iIyMlFt3/vx5ALmt8bL9TE1zpwkMCAhAixYt5LaPi4vDy5cvAch3m69SpQqePn2KO3fuoEyZMsV6XUWpH2tr62Idg8k8laiMjAzo6uoqnViC1M/Q0LDQY5OodOWdCMbAwID1pKF4DWk21o9mY/1oPtaRZivt+pFNBKenp1ek4758+RLXr19H27ZtFRon0tPT8e+//wIAHB0dxXJlXeLfvHmjcKzKlSsDyB0Ln3em+4iICBw9ehQAoKOjI+73xRdfoHz58ggODsbz589Ru3ZtcR9vb2/xO1fe43Tt2hWbNm3C1q1bMX78eBgZGSm8JuDDSXhh66eok//lxWSeSpyuri709fXVHQYpoa+vz7rRUHm7Zenp6bGeNBSvIc3G+tFsrB/NxzrSbKVRP//++y/u3r0L4L+Wa19fX3FZ06ZN0bRp0w+WkZGRgS1btmDnzp1wdHREtWrVYGBggLi4OAQFBSE5ORm1atVCz549xddTt25dGBgY4Pjx43j37p34rPq+ffuiTp06sLe3x9WrV/HmzRtIpVK8fv0aAQEBaNy4Ma5evQodHR25czNu3DgsWbIECxYsQKtWrWBhYYGwsDDEx8fDzs4Oz549k9u+a9euePToEc6dO4f79+/D2dkZlpaWePPmDSIjI/HgwQNMmjQJNjY2+b7u0qgfJvNERERERESk4O7duzh37pzcsnv37uHevXsAclumC0rmq1atiunTpyMkJATh4eG4cOECkpOTYWJiAltbWzRr1gxdunSRa8UuW7Yspk+fjr179+LkyZPisN2+fftCV1cXc+bMwY4dO3Djxg08fPgQlStXxsiRI9GoUSNcvXpVIYbGjRtj/vz52LNnD/z8/GBgYID69etj6tSp+PnnnxV6DEgkEkyYMAGNGzfGv//+i6CgIKSnp8Pc3ByVK1fGiBEjxOfYq5NEyDuHP5GKBQYGwsDAgL/qaqgCH2lCapOamoomTZoAyL2OTEzUN1su5Y/XkGZj/Wg21o/mYx1pNtbPx0tLS8PIkSNRvXp1LFu2TKVlF7Z+MjMzi/3DgE6x9iIiIiIiIiLSAunp6QqPksvOzsa2bduQkZFRYO8CTcVu9kRERERERPTJio6OxuzZs9GgQQNUrFgRaWlpuHv3LiIiImBra4tu3bqpO8RiYTJPREREREREnywrKyu0aNECYWFhuHHjBrKzs1GhQgX06tUL/fv3V5itXlswmSciIiIiIqJPlrm5OTw9PdUdhspxzDwRERERERGRlmEyT0RERERERKRlmMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWYTJPREREREREpGX01B0AERERERERaZa4uDhcuXIFwcHBiIqKQmJiIkxNTVGnTh307t0bUqm0SOXdvXsXR48exf3795GUlARDQ0NYWFigZs2aaNCgAdzc3MRtfX19sWbNGnh6esotJ3lM5omIiIiIiEjOsWPH4O3tjUqVKsHZ2Rnm5uaIjo6Gv78/AgICMHnyZLRs2bJQZfn6+sLLywu6urpo1KgRKleujIyMDMTGxiI4OBh37txh0l4MTOaJiIiIiIhIjr29PX755RfUrVtXbvmdO3cwf/58rFu3Dq6urtDX1/9gOe/evcOmTZtgbGyMX3/9FdWrV5dbn5WVhdu3b6s8/s8Bk3kiIiIiIiKS07x5c6XL69atCycnJ4SEhODZs2eoXbv2B8t59uwZ0tLS4OrqqpDIA4Cenh4aNGgg/r169WqcO3cOALBmzRqsWbNGXOft7Q0AePToEc6ePYvbt28jLi4OWVlZqFSpEtq0aYNevXpBT08xzb19+zb27NmDR48eQV9fH87Ozhg5ciRWrVqFsLAwsWwZQRBw9uxZnD17Fs+ePUN2djZsbW3RpUsXuLu7f/A1lxYm80REREREREUkCMC7d+o7flo6kJ6e/3pDQ0AiKZlj6+rqyv3/Q8qWLQsAePnyJXJycqCj8+E52Js2bYqUlBQEBATA1dUVNWrUUNjm9OnTCAoKQt26ddG4cWO8e/cOt2/fxs6dO/Hw4UPMmDFDbvuQkBAsXrwYurq6aNmyJSwtLXH79m3Mnj0bZcqUUShfEASsWrUKFy9eRJUqVdC6dWvo6+sjJCQEf/75JyIjIzFy5MgCX3tJYzJPRFQCIiJ1EROjh0qVsmBbNVvd4RAREZEKCQIwb4El7ocbqDmSivmucXDIwM/zE1Se0L969QqhoaGwtLREtWrVCty+UqVKqFmzJh4/foyffvoJbm5usLe3R5UqVZT+GJA3mW/atKnSsfR9+/bFmDFj5PYXBAF//vknzp49i7t378LR0REAkJ2djbVr10IQBPz8889yE/etWbMGvr6+CuX/+++/uHjxItzd3TFu3DjxOJmZmfjtt99w+PBhtG7dGrVq1Sr4hJUgJvNERB/pTdJ/n5JvkyXYuMkcd+7+9+Fe1zED341+g7KmgrjM3EwAERERabESavXWZFlZWVi1ahUyMzMxfPjwQrXMSyQSTJs2TezOHhYWBgAwNDSEg4MD2rZti7Zt2xaqLBlra2ulx/nyyy9x9uxZhIaGisn83bt38erVKzRt2lRhBv7Bgwfj/PnzyMnJkVt+4sQJGBkZ4bvvvpOLS19fH19//TUCAwNx6dIlJvNERJrmQ13WlBk99r8PFB0doEwZYNECCZy/AG7eAn5bboAp0yog7+fEjq2xHyxTnd32iIiI6MMkEuDn+Qlq/bw2t7DAm8TEfNerupt9Tk4OvLy8cOfOHXTs2BHt2rUr9L6VKlXC0qVL8eTJE9y8eRMPHz7EvXv3EBoaitDQUJw7dw4//fRTgZPpyWRmZuL48ePw8/NDVFQU0tPTIQj/NZTEx8eL/3769CkAoE6dOgrllC9fHhUqVEBs7H/fy969e4dnz57BysoKhw4dUtgnKysLABAZGVmoWEsSk3kiovcMG5V/l7WC5OQA06ZI4NYu99PTrV1uV7z5C+Vb4gs6Rk5OSrFjICIiopInkQBGRuo7vrER8K6Uji8IAtauXYsLFy6gbdu2GDduXLHKqVGjhtwY+Nu3b2PVqlW4ffs2Tpw4gZ49exaqnN9++w2BgYGoUqUKWrZsCXNzc+jp6SElJQU+Pj7IzMwUt01LSwMAmJmZKS3L3NxcLplPTk6GIAiIi4vDvn378o3hnQa0vDCZJyJSMecv5P9uUF89cRARERF9rJycHPz555/w9fVF69at4enpWeAkdoXl5OSEwYMHw8vLC7du3SpUMv/gwQMEBgaiYcOGmDNnjlw3+Pv378PHx0due2NjYwBAUlKS0vLevHkj97eJiQkAoFatWvj999+L9HpKG5N5IqL3FNQF/n3vt7LfvJXbIi8TElr0Y6SlpaJVqyKFQURERKRSeRP5Vq1aYeLEiUUa214YRkq6N8h+LHh/LDsAxMTEAAAaN26sEMudO3cUtrezswMA3Lt3T2Hd69ev8fr1a7llxsbGqFq1KiIjI5GSkqJ0tntNwWSeiOg9Re0yt2n9S/HfK1ZZYMVKfQiCDhrUz03kV67KQV3HTEz+MbHQx1Dy2UVERERUavIm8i1atMCPP/5YrEQ+NjYWwcHBaN++vdhKLpOeni62pMsmrAMAU1NTAEBcXJxCeRUqVACQO7Fdt27dxOXPnz9XOsbd0dERFSpUQGBgIMLDw+UmwduzZw+ysxWfOtStWzesX78ef/75JyZMmKDwg0NsbCwkEonSifhKE5N5IqKPlHdm+ik/JuIPLwvMX/jfbPb1v8jERI9EmHEGeyIiItISf//9N3x9fWFkZIQqVapg//79Cts0bdpU6XPg80pNTcXGjRvx119/wdHREdWqVYOBgQHi4uIQFBSE5ORk1KpVSy4xd3BwgIGBAY4ePYrU1FRxvHvfvn1hb28Pe3t7XL58GQkJCZBKpXj9+jUCAgLQuHFjXL16Ve74urq6GDt2LJYsWYJ58+ahVatWsLCwQFhYGOLj42FnZ4dnz57J7dO5c2eEh4fj3LlzuHfvHpydnWFpaYk3b94gMjISDx48wKRJk5jMExF9SszMBMybncDnzBMREZFWe/kyt+dheno6Dhw4oHQba2vrApP5qlWrYvr06QgJCUF4eDguXLiA5ORkmJiYwNbWFs2aNUOXLl1gYPBfQ0jZsmUxffp07N27FydPnkRGRgaA3GReV1cXc+bMwY4dO3Djxg08fPgQlStXxsiRI9GoUSOFZB7I7ZI/f/587NmzB35+fjAwMED9+vUxdepU/Pzzzwo9BiQSCSZMmIDGjRvj33//RVBQENLT02Fubo7KlStjxIgRcHZ2LtL5LAkSIe8c/kQqFhgYCAMDg0I/ZoJKl4WFBRI/8EgTUp/U1FQ0adIEQO51JJuMhTQLryHNxvrRbKwfzcc60mysn4+XlpaGkSNHonr16li2bJlKyy5s/WRmZhb7hwHVTEOo4fz9/eHg4IA1a9aoOxSVmTlzJhwcHMT/9uzZU2rHXrlypdyxP6XzSkREREREn5b09HTxEXUy2dnZ2LZtGzIyMtC0aVM1RfZx2M1eBdzc3AAAvr6+pX7s4cOHw8zMDE5OTnLLHRwc4Orqih07dhS5TH9/fwwfPhweHh7w9PRUWN+sWTPo6ekhKioK3t7exY6diIiIiIiopEVHR2P27Nlo0KABKlasiLS0NNy9excRERGwtbWVG6+vTZjMa7kRI0agatWqpXrM5s2bo3nz5vD392cyT0REREREGs3KygotWrRAWFgYbty4gezsbFSoUAG9evVC//79lT4eTxswmSciIiIiIqJPlrm5udIex9rusxgzn1dgYCCGDh2Khg0bwtXVFVOmTEFMTIzCdnFxcfj111/RsWNHODk5oWnTpvD09ER4eLi4TWRkJBwcHBAVFYWoqCil48gzMjKwY8cOfPvtt2jbti2cnJzQvHlzeHh44M6dOyp/fbL5AQAgICBALibZcxcPHTok/n3+/HkMGTIEDRs2hJubG9asWYPhw4cDALy8vOT2j4yMVHm8REREREREVHSfVct8SEgI1q9fj3bt2mHYsGEICwuDj48PgoODceDAAZQvXx4A8Pz5cwwbNgyxsbFo2bIl3N3dERcXh9OnT8PPzw/btm2Ds7MzzMzM4OHhgb/++gtAbpd3GVdXVwDAmzdv8Ouvv8LFxQVt27aFmZkZIiIi4Ovri4sXL2Lnzp2oX7++yl6jjY0NPDw84OXlBRsbG/Tu3Vtc5+joKLftyZMncfnyZbRr1w5DhgxBSkoKXF1d0bt3b3h7e8PV1VV8HQDE5zsSERERERGRen1Wybyfnx8WL16M/v37i8u8vLywZs0arFixAr/++isAYPr06Xj9+jU2b96Mli1bitt+//336Nu3L+bOnYujR4/CzMwMnp6e4rhxZV03zM3Ncf78eVSsWFFu+YMHDzBgwACsXLkSW7duVdlrrFq1Kjw9PcVk/kPdSS5evIgtW7agRYsWCutkyfyn2B2FiIiIiIhI231W3exr1KiBfv36yS0bPXo0rKyscOzYMWRkZODOnTu4ceMGvvrqK7lEXrb/gAEDEB4eLtfd/kMMDAwUEnkAsLe3R9OmTREYGIjMzMziv6iP4O7urjSRJyIiIiIiIs32WbXMN2rUCBKJRG6ZkZER6tWrh0uXLuHp06cICQkBALx+/Vrp89MfP34s/l8qlRbquHfv3sWmTZsQHByM169fKyTvCQkJsLa2LsYr+jiq7N5PREREREREpeezSubLlSundLlsrPzbt2/x5s0bAMD58+dx/vz5fMtKS0sr1DGvX78ujqVv2bIl7OzsYGJiAolEgjNnzuDevXvIyMgowqtQnfzOBxEREREREWm2zyqZj4uLU7r89evXAICyZcvC1NQUADBv3jwMHTr0o4+5bt06ZGRkYPfu3WjcuLHcOlkvAHV5v5cCERERERERaYfPasz89evXIQiC3LL09HSEhYXByMgIdnZ2cHZ2BgDcuHGj0OXq6OggOztb6brnz5/DwsJCIZFPS0srkUfTFSamgujq6gJAsfcnIiIiIiKikvVZJfNPnjzBgQMH5JZt2rQJ8fHx6NatGwwMDFC/fn04Ozvj2LFjOH78uEIZOTk5CAgIkFtmbm6OhIQEvHv3TmF7GxsbvHnzBg8ePBCXZWdn4//+7/8QHx+volemyNzcHDExMcXeFwBiY2NVGRIRERERERGpyGfVzb5Vq1ZYuHAhLly4gJo1ayIsLAx+fn6oXLkyJk+eLG63fPlyjBgxApMmTcJff/2FevXqwdDQEC9evEBISAji4+Nx69YtcftmzZrh9u3bGDduHBo3bgwDAwM0atQILi4uGDp0KPz8/DBkyBB8+eWXMDAwQEBAAGJjY+Hq6qrww4CqNGvWDCdOnMCECRPg6OgIXV1dtG3bFg4ODgXuW7NmTVhbW+PYsWMwMjJCpUqVIJFIMHjwYJQtW7ZE4iUiIiIiIqLC+6yS+QYNGmDcuHFYtWoVtm/fDn19fXTr1g3Tpk0TJ8EDAFtbW3h7e2Pr1q04e/YsDh48CB0dHVhbW8PFxQVdunSRK3f8+PFISkrCuXPncO3aNeTk5MDDwwMuLi5o3749Vq9ejfXr1+PIkSMwMjJCs2bN8Oeff+LPP/8ssdc6Z84cAMC1a9fw77//IicnB+XLly9UMq+rqwsvLy/8/vvvOHz4MFJSUgAAXbt2ZTJPpAEM3jyF/tsoZJa1QYa5nbrDISIiIiI1kAjvDyInrTBz5kx4e3vj7NmzqFq1qlpi8Pf3x/Dhw+Hh4QFPT0+l2wQGBsLAwAD6+vqlHB0VhoWFBRITE9UdBinxLiEajVq5AwCu+52BibExdN4loWLQShi/vClul2btjFiXScgxNBOXZRtZlHa4ny1eQ5qN9aPZWD+aj3Wk2Vg/mq2w9ZOZmSnO21ZUn1XL/KeoQ4cOAIAFCxZg8ODBpXLMlStXYt26daVyLKJPhSSrcI+zlKlxZIjcv8sYSCBIdACDskjrvhI5No2hExUMo3/no/qJbyARcsTtH/Y/VuT4BD3jIu9DREREROrDZF5Lubu7w8bGRvzbycmp1I7drFkz6On999ZxdXUttWMTaava+7sVafsUJcskQg7SOi5AtjR3qE+2tAveCQKMjk2W266oxwKAB4N9i7wPEREREakPk3kNERkZCW9v7wK3K1u2LEaOHAl3d3e4u7uXQmSKmjdvjubNm6vl2ESfuxwb+cdcZld1UVMkRERERKROTOY1RFRUFLy8vArczsbGBiNHjiz5gIhIpYra9b3yrq5Kl+tEBYst8wCgGxn00cciIiIiIu3DZF5DNG3aFPfv31d3GERUQoo6Jv1Jz93AMnfx3ybGxqh8eSEMzy5ChiAgu6oLdCODYOD7M9KsnRHdcn6xj0VERERE2ofJPBGRBso2NJf7d7aRCV60WoDKV36BSZ4x8qmVXBDdYg5y8mxPRERERJ8+JvNERFoix9AcUe2X8TnzRERERMRknohI22SY2zGJJyIiIvrM6ag7ACIiIiIiIiIqGibzRERERERERFqGyTwRERERERGRlmEyT0RERERERKRlmMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWYTJPREREREREpGWYzBMRERERERFpGSbzRERERERERFqGyTwRERERERGRlmEyT0RERERERKRlmMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZfTUHQB9+rKzs9UdAuUjMzMTmZmZ6g6DlMjKypL7N+tJM/Ea0mysH83G+tF8rCPNxvrRbIWtn4/JlZjMU4kyMDBARkYGE3oN9e7dO2RkZKg7DFIib71kZGRAV1dXjdFQfngNaTbWj2Zj/Wg+1pFmY/1ottKoHybzVKJsbGyQk5Oj7jAoH5aWlkhISFB3GKRESkqK+G9bW1uUKVNGjdFQfngNaTbWj2Zj/Wg+1pFmY/1ottKoHybzVKJ0dXXZoqjB9PX1oa+vr+4wSIm89cJ60lysG83G+tFsrB/NxzrSbKwfzVYa9cMJ8IiIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMvoqTsAok/Zk6cCoqIAGxughp1E3eEQEREREdEngsk8kQolJAoAgDdJAn5fDoTc/G9dA2cBU6cA5mYSWFowsSciIiIiouJjMk9USGlpQoHb9PgqdxsdHaBMGWDRAgmcvwBu3gJ+Wy5g+EggJ0fAvycKd0xjYyb9RERERESkiMk8USF1/LLgZF4mJweYNkUCt3a5ybhbO0AQgPkLhSKV5XeeyTwRERERESniBHhEJcT5C/m/G9RXTxxERERERPTpYcs8USH9e6LgVvK8Le43b+W2yMuEhBatLCIiIiIiovwwmScqpMKMXz/6T+7/580XsGKVAEHIbZEPCQVW/iGggTPw80IJx8ITEREREdFHYTJPpEKyWeoXLwQWLhbEMfIA0MQFmD9XAgvOZE9ERERERB+JyTxRCbCwkGDl7xI+Z56IiIiIiEoEk3miElTDToIaduqOgoiIiIiIPjWf9Wz2hw4dgoODg/jfpEmTxHUzZ86Eg4MDIiMj1RihZrpy5YrceRs2bJi6QyIiIiIiIvqssGUeQIcOHeDo6Ah7e3t1h6IVbG1t4eHhAQDw8vJSczRERERERESfHybzANzd3dGnTx+5ZZMnT8Z3332HihUrqikqzWVrawtPT08ATOaJiIiIiIjUgcl8PqytrWFtba3uMIiIiIiIiIgUfNZj5j9E2Zh5f39/ODg4YM2aNQgLC8O3336Lhg0bonHjxvjhhx/yHV8fERGBn376CW5ubnByckLz5s0xbNgwHDp0SGFbb29vDBgwAA0bNkTDhg0xYMAAeHt7K2yXN5br169j2LBhaNiwIZo1a4YFCxYgPT0dAHDx4kUMGjQIDRo0QIsWLfDbb78hOztbaZxnzpzBiBEj0KRJE3zxxRfo3r07Nm/enO/2REREREREpB5M5ovh9u3b+Prrr6Grq4tBgwbByckJZ86cwahRo/Du3Tu5bW/cuIHevXvj77//Rs2aNTFq1Ch07NgR6enp2L59u9y2v/76K2bOnImYmBj07dsX/fr1Q2xsLGbOnIklS5YojeXmzZsYOXIkypYti0GDBqFKlSrYs2cP5s6dixMnTsDT0xOVK1fGwIEDUbZsWWzatAkbNmxQKGfFihX44Ycf8PTpU3Tq1AlDhgyBgYEBli1bJjcxIBEREREREakfu9kXw/nz57Fy5Up07dpVXDZ9+nQcPnwYZ86cQbdu3QAAGRkZmDRpElJSUrBhwwa0adNGrpyYmBjx30FBQfjrr79Qq1Yt7Nu3D2XLlgUATJgwAQMGDMC2bdvQsWNHuLi4yJVx6dIl/Pnnn3B3dwcAZGZmom/fvvDx8YGfnx927NiB+vXrAwA8PT3RqVMnbNu2Dd999x309HKr//Lly1i/fj3atGmD1atXw9jYGAAgCAIWLFiAvXv34tSpU+jcubMqTyMREREREREVE1vmi6FJkyZyiTwA9O3bFwBw69YtcdnZs2cRHR2Nnj17KiTyAFCpUiXx37Iu9x4eHmIiDwBly5YVZ45X1t3e1dVVTOQBQF9fH507d4YgCGjfvr2YyAOAqakp2rVrh8TERLkfEnbu3AkAWLRokZjIA4BEIsHUqVMhkUhw7NixD50SIiIiIiIiKkVsmS+GunXrKiyTJeZJSUnistDQUABAy5YtCyzz7t27AICmTZsqrHN1dZXbpqBYZBP3OTo6KqyrUKECACA2NhZVq1YFkNtV38TEBAcOHFAam5GRER4/flzgayAiIiIiIqLSwWS+GPK2nMvo6uoCAHJycsRlb9++BYBCPd4uOTkZOjo6sLKyUlhXvnx56OjoIDk5WWGdqalpvrEoWyfrWp+VlSUue/PmDbKysj74mLnU1NQCXwMRERERERGVDibzJUiW9MfGxha4rampKXJychAfH49y5crJrYuLi0NOTo7S5FwVZOX6+/uXSPlERERERESkWhwzX4Jk49UvX75c4LayLvHKEuqAgAAAQJ06dVQY3X/q16+PxMREPH36tETKJyIiIiIiItViMl+COnTogEqVKuHIkSO4dOmSwvq8Lfa9e/cGAPz5559y3emTk5Px559/ym2jasOGDQMAzJ49GwkJCQrrX716hUePHpXIsYmIiIiIiKjo2M2+BBkYGGDVqlUYPXo0vvvuO7Ru3Rp16tRBcnIy7t69i/T0dPzzzz8AcmfIHzZsGHbs2IHu3bujU6dOEAQB//77L6KjozFs2DA0adKkROJs06YNxo8fj7Vr16JTp05o3bo1qlSpgsTERDx79gzBwcH48ccfUatWrRI5PhERERERERUNk/kS1rBhQ3h7e2P9+vXw8/PD1atXYWZmhlq1amHQoEFy286dOxeOjo7Ys2cP/v77bwBA7dq14enpKT76rqRMnDgRTZo0wfbt23H16lW8ffsWFhYWqFq1Kjw8PNCjR48SPb62kcQ9hE7ic+RYVINQrra6wyEiIiIios+MRBAEQd1BqMuhQ4cwa9YsLFmyBH369FF3OFrJwcEBrq6u2LFjh9L1yrrta6XU+Nz/pyXC6Mx86EUFiauybFyQ7r4QMLbIXWCi+EQCTWVpafnp1NEnJiUlBba2tgCAiIgIlClTRs0RkTK8hjQb60ezsX40H+tIs7F+NFtR6sfS0rJYx2DLPIBZs2Zh1qxZ6Nq1K1auXKnucDTelStXMGrUKHWH8fEyC/+4PdN1LQEAgkQHMCiLtO4rkWPTGDpRwTD6dz7KbO8BiZD7WMJkz+DCx6BvUqSQiYiIiIiIgM88mXd0dISHh4f4t729vRqj0R62trZy583GxkaN0RSf6ZrGRd5HIuQgreMCZEu7AACypV3wThBgdGxyscpNnny3yDEQERERERF99sm87JFwVHi2trbw9PRUdxhqk2Mjn6xnV3VRUyRERERERPS5+qyTefq8FaU7fN7Wdp2oYLFlHgB0I4Pkti1SN3siIiIiIqJiYDJPn68ijFdPHncZAGB0dCIMz/6MDEFAdlUX6EYGwcB3MbKqNkF691VFLpeIiIiIiKg4mMwTFcb/n6E+vedqGB2fKjdGPqt6C6R3/R0wLt4slEREREREREXFZJ6oKIwtkd53M58zT0REREREasVknqgYhHK1kc0knoiIiIiI1ERH3QEQERERERERUdEwmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi2jp+4A6NOWnZ2NnJwcdYdB+cjMzERmZqa6wyAl8tYL60lzsW40G+tHs7F+NB/rSLOxfjRbadQPk3kqUVFRUcjIyFB3GJSPxMREvHnzRt1hkBJpaWnivyMiImBsbKzGaCg/vIY0G+tHs7F+NB/rSLOxfjRbUerH2tq6WMdgMk8lKiMjA7q6utDV1VV3KKSEoaEhDAwM1B0GKZGdnS3+28DAgPWkoXgNaTbWj2Zj/Wg+1pFmY/1otsLWT97vfEXFZJ5KnK6uLvT19dUdBimhr6/PutFQebtl6enpsZ40FK8hzcb60WysH83HOtJsrB/NVhr1wwnwiIiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIy+ipOwAiIiIiIiKi90VE6iImRg+VKmXBtmq2usPROEzmiYiIiIiISGNEvtDBxk3muHPXQFxW1zED341+g6pVctQYmWZhMk9ERERERESlKj09/3VTplVAmTLAogUSOH8B3LwF/LbcAFOmVcBfm2OV7mNkVEKBajAm80RERERERFSqho2q+MH106ZI4NZOAgBwawcIAjB/oZDvfvv3KE/yP2WcAI+IiIiIiIg0ivMX8n83qK+eODQZW+aJiIiIiIioVO3YqrwlPSpKFzPnlsfNW7kt8jIhobn/X7r4NWxsOBkewGSeiIiIiIiISll+Y9xr1cpGXccMrFipD0HQQYP6uYn8ylU5qOuYiVq1mMjLMJknIiIiIiIijTHlx0T84WWB+Qv/m82+/heZmOiRqL6gNBCTeSIiIiIiItIYZmYC5s1O4HPmC1DkCfAOHToEBwcH8b9JkyaVRFykwZ49eyb3HnBzc1N3SERERERE9ImxrZqNJi7vmMjno9gt8x06dICjoyPs7e3FZcOGDUNAQADu37+vkuA+Z7IE2dfXV82RKDI3N4eHhwcA4K+//lJzNERERERERJ+fYifz7u7u6NOnjypjIS1hYWEBT09PAIC3t7eaoyEiIiIiIvr88DnzRERERERERFpGZcm8g4MDAgICxH/L/ps5c6bcdvfu3cOkSZPQqlUrODk5oX379vj555+RkJAgt11kZKS4/6NHjzB27Fi4uLigSZMmmDx5MuLj4wEAN2/exKhRo9CoUSM0adIEc+fORWpqqlxZ/v7+cHBwwJo1axAYGIihQ4eiYcOGcHV1xZQpUxATE6P0NcXFxeHXX39Fx44d4eTkhKZNm8LT0xPh4eEK27q5ucHNzQ1JSUlYvHgx2rZti7p16+LQoUMAgNu3b2PRokXo3r07GjdujPr166NHjx7YsGEDMjMzFV53VFQUoqKi5M7lmjVrAPw3b4Gs7Pxe6/v1M2zYMMTGxmLmzJlo2bIl6tSpA39/f3GbwMBAjBs3Dk2bNoWTkxM6deqElStXIi0tTen5ISIiIiIiIvVQ2Wz2Hh4e8Pb2RlRUlDieGgAcHR3Ff589exY//vgjdHV14ebmhkqVKuHRo0fYuXMn/Pz88Pfff8Pc3Fyu3MjISAwaNAhOTk7o378/bt++jWPHjiE6OhpTp07FN998gxYtWmDgwIHw9/fH/v37AQCLFy9WiDEkJATr169Hu3btMGzYMISFhcHHxwfBwcE4cOAAypcvL277/PlzMflt2bIl3N3dERcXh9OnT8PPzw/btm2Ds7OzXPkZGRkYMWIEUlJS0L59e+jr66NcuXIAgL///hvnzp1DkyZN0KZNG6SnpyMgIADLly/HrVu3xOTbzMwMHh4e4lj0ESNGiOW7uroWq25kEhMTMXDgQJibm+PLL79EZmYmTE1NAQB79uzBwoULYW5ujvbt28PS0hK3b9/GunXr4O/vj+3bt8PAwKCAIxAREREREVFpUFky7+npiYCAAERFRYnjqfNKSEjA9OnTYWVlhT179qBKlSriOh8fH0yZMgWrV6/GvHnz5PYLDAzE7NmzxaRWEASMHTsWFy5cwLhx47B8+XK4u7sDADIzM9G3b1/8888/+PHHH+WScwDw8/PD4sWL0b9/f3GZl5cX1qxZgxUrVuDXX38Vl0+fPh2vX7/G5s2b0bJlS3H5999/j759+2Lu3Lk4evSoXPmvXr2Cg4MD9uzZAyMjI7l1Y8eOxfz586GrqysuEwQBc+bMwcGDBxEcHIzGjRvDzMwMnp6e4lh0ZeeyuMLDw9GnTx8sXrxYLo6HDx9i8eLFcHR0xNatW2FhYSGu27BhA5YvX46dO3fim2++UVksREREREREVHylNmb+8OHDSE5OxuTJk+USeQDo3r076tWrh2PHjinsZ2tri2HDhol/SyQSdO3aFUBuq78skQcAfX19dO7cGZmZmXj06JFCWTVq1EC/fv3klo0ePRpWVlY4duwYMjIyAAB37tzBjRs38NVXX8kl8rIyBgwYgPDwcKXd7adNm6aQyAOAjY2NXAItey1ff/01AODq1asK+6iavr4+pk2bphDH3r17kZWVhTlz5sgl8sB/58fHx6fE4yMiIiIiIqLCUVnLfEFCQkIA5I5xf/78ucL6d+/eISEhAfHx8bCyshKX16lTBzo68r85WFtbA5Dvwv/+utjYWIV1jRo1gkQikVtmZGSEevXq4dKlS3j69CmkUqkY6+vXrxXGngPA48ePxf9LpVJxuaGhIRwcHBS2B3K74O/atQvHjh3D48ePkZqaCkEQxPUvX75Uup8qVa1aVe7cyty8eRMAcOnSJaU/Kujp6eHJkyclHh8REREREREVTqkl82/evAEA7Nq164PbvT/ZmmxMd16yluUPrcvKylJYJxu//j5Zd/y3b9/KxXr+/HmcP3++0LGWK1dO4ccCmQkTJuDcuXOws7ND165dUa5cOejp6SEpKQnbt28XewWUpPeHHcjIXu+6detKPAYiIiIiIiL6eKWWzMsS76NHj8q1ZpemuLg4pctfv34NAChbtiyA/2KdN28ehg4dWujy80vkQ0NDce7cObRq1QobNmyQ6+YeEhKC7du3F/oYAMSeCtnZ2QrrZD9IFCU+2esNDg5W+gMJERERERERaRaVjpn/UJJZv359AP91t1eH69evy3VtB4D09HSEhYXByMgIdnZ2ACDOUn/jxg2VHDciIgIA0K5dO4Xx6kFBQUr30dHRUXoegdwZ7wHlQwnu3r1b5PhkdSPrbk9ERERERESaTaXJvOyxcsqe2963b1+UKVMGK1euxIMHDxTWp6WllXii/+TJExw4cEBu2aZNmxAfH49u3bqJj16rX78+nJ2dcezYMRw/flyhnJycHAQEBBT6uLIJ/4KDg+WWP3jwABs2bFC6j7m5ORISEvDu3TuFdfXq1YNEIsGxY8fk1j99+rTIrfwAMGTIEOjp6eHnn39GdHS0wvqkpCTcuXOnyOUSERERERFRyVBpN/tmzZrh1KlTmDhxItq2bQtDQ0NIpVK0a9cOVlZWWLFiBSZOnIhevXqhdevWqFmzJt69e4cXL14gICAADRs2xObNm1UZkpxWrVph4cKFuHDhAmrWrImwsDD4+fmhcuXKmDx5sty2y5cvx4gRIzBp0iT89ddfqFevHgwNDfHixQuEhIQgPj4et27dKtRx69evj/r16+PEiRN49eoVnJ2dER0dDV9fX7Rt2xanTp1S2KdZs2a4ffs2xo0bh8aNG8PAwACNGjWCi4sLKlasiK5du+LYsWPo06cPWrdujbi4OJw5cwatW7dWWt6HSKVSzJ8/HwsWLECXLl3Qtm1b2NraIjk5GZGRkQgICEDv3r2xaNGiIpVLREREREREJUOlyfyAAQMQFRWF48ePY926dcjKykLv3r3Rrl07ALndzL29vbF582ZcvXoVly9fhomJCSpWrIg+ffqgZ8+eqgxHQYMGDTBu3DisWrUK27dvh76+Prp164Zp06YpTA5na2sLb29vbN26FWfPnsXBgweho6MDa2truLi4oEuXLoU+rq6uLtavX4/ff/8dly5dwq1bt1C9enVMnz4dbdq0UZp8jx8/HklJSTh37hyuXbuGnJwceHh4wMXFBQDwyy+/wMrKCidOnMCuXbtQo0YNLFq0CNbW1kVO5oHcuqtTpw62bduGwMBA+Pr6wtTUFFWqVMHIkSPx1VdfFblMIiIiIiIiKhkS4f1B5AU4dOgQZs2ahSVLlqBPnz4lFZdK+fv7Y/jw4fDw8ICnp6e6w/mkuLm5AQB8fX2Vrg8MDISBgQH09fVLMywqJAsLCyQmJqo7DFIiNTUVTZo0AZB7HZmYmKg5IlKG15BmY/1oNtaP5mMdaTbWTy6DN0+h/zYKmWVtkGFup+5wRIWtn8zMTHHOtqIqdsv8rFmzMGvWLHTt2hUrV64sbjGkhZ49e4ZOnTqJf9vY2KgxGiIiIiIi+pzopidC510SKgathPHL/ybxTrN2xotWC5BjaK7G6EpPkZN5R0dHeHh4iH/b29urNCDSfObm5nLvAdkj/YiIiIiIiFRBkpWW77qa3n0gSHQAg7JI674SOTaNoRMVDKN/56Py5UV40Wax0v0EPeOSClctipXMOzo6lkQspCUsLCw4XIGIiIiIiEpM7f3dPrheIuQgreMCZEtz5zLLlnbBO0GAybHJ+e77YLDyocHaSqUT4Gmqpk2b4v79++oOg4iIiIiIiFQkx6ax3N/ZVV3UFIl6fBbJPBEREREREWmPh/2P5btO1vKuExUstswDgG5kEADgWef/IdOsWskGqAGYzBMREREREZFG+dD49se9D6Hy5YUwPLsIGYKA7Kou0I0MgoHvz0it5IIMK4dSjFR9mMwTERERERGR1sg2ssCLVgtQ+covMDk2WVyeWskF0S3mqDGy0sVknoiIiIiIiLRKjqE5otov09jnzJcGJvNERERERESklTLM7T67JF5GR90BEBEREREREVHRMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiIto6fuAOjTl52dre4QKB+ZmZnIzMxUdxikRFZWlty/WU+aideQZmP9aDbWj+ZjHWk21o9mK2z9fEyuxGSeSpSBgQEyMjKY0Guod+/eISMjQ91hkBJ56yUjIwO6urpqjIbyw2tIs7F+NBvrR/OxjjQb60ezlUb9MJmnEmVjY4OcnBx1h0H5sLS0REJCgrrDICVSUlLEf9va2qJMmTJqjIbyw2tIs7F+NBvrR/OxjjQb60ezlUb9MJmnEqWrq8sWRQ2mr68PfX19dYdBSuStF9aT5mLdaDbWj2Zj/Wg+1pFmY/1ottKoH06AR0RERERERKRlmMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWYTJPREREREREpGWYzBMRERERERFpGSbzRERERERERFqGyTwRERERERGRlmEyT0RERERERKRlmMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWkZP3QEQERERERGRaj15KiAqCrCxAWrYSdQdDpUAJvNERERERERaLCFREP/9JknA78uBkJv/rW/gLGDqFMDcTAJLCyb2nwom80RERERERBosLU1QWGZoKIjLe3z133odHaBMGWDRAgmcvwBu3gJ+Wy5g+EggJ0fAvycKd0xjYyb9mo7JPBERERERkQbr+KViMg/EK902JweYNkUCt3a5ybhbO0AQgPkLhQ+UpcjvPJN5TccJ8IiIiIiIiD4hzl/I/92gvnrioJLFlnkiIiIiIiIN9u8JxVZyCwtLJCYmAFBsbb95K7dFXiYk9MNlkXZiMk9ERERERKTBlI1fNzGR4N273OVH//lv+bz5AlasEiAIuS3yIaHAyj8ENHAGfl4o4Vj4TwiTeSIiIiIiIi2Wd4b6xQuBhYsFcYw8ADRxAebPlcCCM9l/UpjMExERERERfSIsLCRY+buEz5n/DDCZJyIiIiIi+sTUsJOghp26o6CSxNnsC+HQoUNwcHAQ/5s0aZK4btiwYXBwcFBjdPLWrFkDBwcH+Pv7l9g+z549kzsfbm5uxQ2XiIiIiIiIioEt80XQoUMHODo6wt7eXt2hFElkZCQ6dOiA3r17Y+nSpR9dnrm5OTw8PAAAf/3110eXR0REREREREXDZL4I3N3d0adPH3WHoXYWFhbw9PQEAHh7e6s5GiIiIiIios8Pu9kTERERERERaRkm8yqSlZWFP//8E25ubnByckLnzp2xa9cupdsKgoADBw5g0KBBaNSoEZydndGnTx8cOHBAYdvY2FisXr0aAwYMQPPmzeHk5AQ3NzcsWLAAcXFxBcZ16NAhdOjQAUBuK3rese7KxsgfP34cvXv3Rv369dGqVSssXrwY6enpRTwbREREREREVJLYzV5FJk+ejNDQULRp0wY6Ojo4ceIEFi1aBH19fQwYMEDcThAETJ06FT4+PrCzs0P37t1hYGCAy5cvY86cOXj06BFmzJghbh8UFIStW7eiWbNmqF+/PvT19XHnzh3s2bMHfn5+8Pb2RtmyZfONy9HREcOHD8f27dtRp04duLu7i+tsbGzktt21axcuXboENzc3uLq64tKlS9ixYwcSEhKwfPlyFZ4tIiIiIiIi+hhM5lUkJiYGPj4+MDU1BQAMHz4cPXr0wJYtW+SS+f3798PHxwf9+vXDwoULoaeXWwUZGRmYMGECtmzZgm7dusHJyQkA0KxZM/j5+aFMmTJyx/vnn38wY8YM7Ny5E99//32+cTk6OmLEiBHYvn07HB0dxbHuyly5cgUHDx5EzZo1AQCTJk1Cr169cOzYMUyfPh0VK1Ys3skhIiIiIiIilWI3exWZPHmymMgDQM2aNdGoUSM8efIEycnJ4vKdO3fCxMQEP/30k5jIA4CBgYH4yLtjx46Jy8uVK6eQyANAr169YGpqiitXrqjsNQwfPlxM5AHAyMgI3bt3hyAICAsLU9lxiIiIiIiI6OOwZV5F6tWrp7BM1pL99u1bmJqaIi0tDeHh4bC2tsaGDRsUts/KygIAPH78WG756dOnsW/fPoSFhSEpKQnZ2dniupcvX6rsNdStW1dhWaVKlQAASUlJKjsOERERERERfRwm8yqibNy6rOVdlnwnJSVBEATExsbCy8sr37JSU1PFf2/ZsgX/93//BysrK7Rs2RKVKlWCkZERgNxnvGdmZpboa9DV1QUA5OTkqOw4RERERERE9HGYzJciWXf5evXq4dChQwVun5WVhbVr18La2hqHDx+GlZWVuE4QBGzatKnEYiUiIiIiIiLNxTHzpcjU1BS1atXC48ePC9VtPSEhAW/fvkWDBg3kEnkAuHXrVqEfGSdrXc/bPZ+IiIiIiIi0F5P5UjZs2DCkpaVh7ty5ct3pZSIiIhAZGQkgd/I7IyMjhIWFIS0tTdzmzZs3WLx4caGPaWZmBolEgpiYmI9/AURERERERKR27GZfygYNGoSbN2/C29sb169fR4sWLWBtbY24uDg8fvwYN2/exPLly1G1alXo6OhgyJAh2LJlC3r16oX27dsjOTkZFy9ehI2NDaytrQt1zDJlyuCLL75AUFAQZs2aherVq0NHRwfdu3dHlSpVSvgVExERERERkaoxmS9lEokES5cuRZs2bbB//36cP38eqampsLKyQvXq1TFjxgw0b95c3H7y5MkwNzeHt7c3du/ejfLly6Nbt27w9PREjx49Cn3cZcuWYcmSJThz5gzevn0LQRDg7OzMZJ6IiIiISM0kcQ+hk/gcORbVIJSrre5wSEtIBEEQ1B2Epjt06BBmzZqFJUuWoE+fPuoOR6O4ubkBAHx9fZWuT0hIKM1wqIgsLS1ZRxoqJSUFtra2AHKH38gm0CTNwmtIs7F+NBvrR/OxjkpQanzu/9MSYXRmPvSigsRVWTYuSHdfCBhbACZWyvcH60fTFaV+LC0ti3UMtswXwaxZszBr1ix07doVK1euVHc4avPs2TN06tRJ/NvGxkaN0RARERERaYhMxTmxlDFd1xIAIEh0AIOySOu+Ejk2jaETFQyjf+ejzPYekAg5SPYMzrcMIcPgv+Ppm3x06KR9mMwXgqOjIzw8PMS/7e3t1RiN+pmbm8udD2XPpyciIiIi+tyYrmlcpO0lQg7SOi5AtrQLACBb2gXvBAFGxyYXWF4WANP//+/kyXeLEy5pOSbzheDo6AhHR0d1h6ExLCws4Onpqe4wiIiIiIi0Xo6NfMKeXdVFTZGQtmEyT0REREREpAIf6hafV94Wd52oYLFlHgB0I/8bP/+h8iwsLJCYmFj0IOmTwWSeiIiIiIhIFQo5dj153GUAgNHRiTA8+zMyBAHZVV2gGxkEA9/FyKraBOndV32wPIlBGUA/QxVRk5ZiMk9ERERERFSa/v8s9ek9V8Po+FRxjDwAZFVvgfSuvwPGxZvhnD4fTOaJiIiIiIjUwdgS6X038znzVCxM5omIiIiIiNRIKFcb2UziqYh01B0AERERERERERUNk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMtIBEEQ1B0EERERERERERUeW+aJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLaOn7gCISHUCAwPh6+uL27dv486dO0hOTkbv3r2xdOlSpdsHBQXhzJkzCAgIQFRUFFJTU2FjY4MOHTpg7NixMDMzK/SxZ86cCW9vb6XratSogZMnTxbrNX1Kilo/AJCTk4Pdu3dj3759ePbsGUxMTNC0aVNMmjQJdnZ2RTr+q1evsGrVKly4cAFv3rxBlSpV0KNHD4wZMwYGBgYf+eo+TZGRkejQocMHt9HR0cHdu3cLVZ6Dg0O+66ZMmYIxY8YUKT7Kper7z6VLl7BhwwaEhYVBEAQ4OTlhzJgxaN26tSrC/aykpqbi33//ha+vL+7du4fo6GgYGBigTp06GDRoELp3716k8ngNFV9oaCjWrFmDkJAQZGZmonbt2hgxYgR69OhR6DJU+ZlE/4mNjcWJEydw8eJFPH78GK9fv4a5uTkaNWqE0aNHw9nZuVDl+Pv7Y/jw4fmu37dvHxo0aKCiqD8vbm5uiIqKUrpu4MCBWLRoUaHKUfU1xGSe6BNy8OBBeHt7w9jYGJUrV0ZycvIHt584cSISEhLQuHFj9OrVCxKJBAEBAdi0aRNOnz6NvXv3oly5ckWKYfjw4Qo/AlhaWhb5tXyKilo/ADB//nz8/fffqF27NoYOHYq4uDgcP34cly9fxt69e1G7du1CHfvVq1cYMGAAoqOj4e7uDjs7OwQHB4tf7DZs2AAdHXbWep+ZmRk8PDyUrrt9+zbOnz+PVq1aFalMGxsb9O7dW2F5o0aNihUj/UcV958jR45g2rRpsLS0RO/evSGRSHDixAmMHj0av/32G3r27KnKkD95QUFBmD59OiwsLNC8eXN06tQJcXFx+PfffzFlyhTcuHED8+bNK1KZvIaKzt/fH99++y309fXRrVs3lC1bFqdPn8bUqVMRFRWFcePGFaocVX0mkbwdO3Zg48aNqFatGlq0aIFy5crh2bNnOHPmDM6cOYPly5eja9euhS7P1dUVrq6uCssrVaqkyrA/O2XLlsWIESMUljs5ORW6DJVfQwIRfTJCQ0OF8PBwISsrS7hx44YglUqFGTNm5Lv9+vXrhdjYWLllOTk5wvz58wWpVCosWLCg0MeeMWOGIJVKhYiIiGLH/6krav1cvXpVkEqlwpAhQ4R3796Jy69cuSI4ODgIX3/9daGPPX36dEEqlQq7du0Sl+Xk5Ij1duDAgeK9qM/Y2LFjBalUKpw6darQ+0ilUmHo0KElGNXnSVX3n8TERMHFxUVo2rSp8OLFC3F5bGys0LJlS8HFxUVITEz82HA/K3fv3hWOHDkiZGRkyC1/9eqV0L59e0EqlQo3b94sdHm8hoouMzNTcHd3F5ycnISwsDBx+du3b4Vu3boJdevWFZ48eVJgOar8TCJ5p06dEgIDAxWWBwYGCvXq1RNcXV3lznl+rl27JkilUmH16tUlEeZnrX379kL79u0/qoySuIbYDEP0Cfniiy9gb28PXV3dQm0/ZswYWFtbyy2TSCQYP348gNxu4aQ6Ra2f/fv3AwB+/PFHuW7wzZs3R6tWrRAYGIgnT54UWE5ycjKOHz8OW1tbDB48WFwukUgwefJk6OjoiMeiwomNjcXFixdRrlw5tG/fXt3hkIqcPHkSSUlJGDp0KCpXriwut7a2xvDhw5GUlMQhQ0VUp04d9OjRA/r6+nLLy5cvj4EDBwLgZ01Ju3btGp4/f47u3bujbt264nJTU1OMHz8eWVlZOHToUIHlqOoziRR16tQJLi4uCstdXFzQtGlTJCYm4v79+2qIjFSpJK4hdrMnIgV6erm3hsImnXlduHABKSkpMDAwgIODA1xdXYtVDuV2izQxMVHadbRVq1a4dOkSAgMDUaNGjQ+WExISgoyMDLRo0QISiURunbW1NaRSKW7evIl3797B0NBQpa/hU+Xt7Y3s7Gz06tVLIUkpSFJSEvbv34+4uDhYWVnB1dWVY01V5GPvPwEBAQCgdOhE69atsXz5cgQEBIhJKH2c4n7W8Boqmg+9r1u2bCm3zYeo6jOJikZ2ncj+XxhPnz7F9u3bkZ6ejipVqqBFixawsrIqqRA/GxkZGfD29kZsbCzMzMzQqFEj1KlTp9D7l8Q1xGSeiBQcPHgQwH8f8kXx/gQgdnZ2WLFiBerVq6eS2D4XqampePXqFaRSqdIvurIvrk+fPi2wrGfPnsnt877q1avj3r17iIiI4HjHQhAEQbxG+vXrV+T97927h7lz54p/SyQS9OjRA4sWLYKxsbHK4vwcfez9R3Y9Va9eXWGdbJnseqKPk52djX/++QcSiQQtWrQo0r68hormQ+9rc3NzWFpaFvi+VuVnEhXeixcvcOXKFVSoUAFSqbTQ+/n4+MDHx0f828jICJ6enhg9enRJhPnZePXqFWbOnCm3rHXr1li2bFmBP5aU1DXEZJ6I5Ny9exd//vknypUrV6SbfpMmTeDm5ob69evD0tISkZGR2LdvH3bu3IlvvvkGR44cQcWKFUsw8k/L27dvAeR2g1RGtrwwk+jJyipbtuwHy5JtRx8WEBCA58+fo3HjxqhVq1aR9v3mm2/w5Zdfonr16pBIJLhz5w5WrlyJI0eOIDs7GytWrCihqD9tqrr/yK4nZdeKiYkJdHV1eZ2oyB9//IHw8HD07du3SEkKr6Gi+9D7Gsj9DIiJiflgGar8TKLCyczMxPTp05GRkYGpU6cWqgeLlZUVpk+fjnbt2qFKlSpISkqCv78/fv/9d/z2228wNTXFoEGDSiH6T0+fPn3g6uqK2rVrw8DAAI8ePYKXlxcuXryI8ePHY8+ePQq9H/MqqWuIyTyRhpGNjSqs7du3o2nTpio5dkREBMaOHSt+ISpKl6y+ffvK/V2rVi3Mnj0bxsbGWLduHbZt24YZM2aoJE51Umf9UPGpst4OHDgAoHit8u9fA82aNcO2bdvQq1cvHDt2DN9//z3s7e2LXO6n4GPq6HO5/6iTKq+hffv2Yf369ahbty7mzJlTpDh4DdHnICcnB7Nnz0ZgYCAGDBiAr776qlD72dvby73/jY2N0bNnT9SpUwd9+vTBmjVrMGDAAD69phjef7KNs7Mz1q9fj6FDhyI4OBgXLlxAu3btSj0uJvNEGqZ79+5ISUkp9Pbly5dXyXGjoqIwYsQIxMfHY82aNWjWrJlKyu3Xrx/WrVuHGzduqKQ8dSut+pG1oOT3C61seX6/8CorK78WxYJabT4Fqqq3pKQknD59Gqampvjyyy9VEpuxsTG6deuGtWvX4vr1659tIlIS11ZR7z95e6m8/0i71NRUZGdnf9LXyYeoqn4OHjyI+fPnQyqVYsuWLShTpsxHx8Zr6MMK6n2VnJxc4PtalZ9J9GGCIGDu3Lk4cuQIevbsiYULF350mVKpFM7OzggKCsKzZ884r4GK6OjooE+fPggODsb169c/mMyX1DXEZJ5IwxT1ebuqEBkZieHDh+Ply5dYtWqVSmfnln0hTktLU1mZ6lRa9WNiYoIKFSogMjIS2dnZCt3rZGOqCjPpk2ycZH7jsJ49ewYdHR3Y2tp+TMgaTVX1dvToUaSnp2PgwIEqHZv7qV0nxVES11ZRz6udnR1u376NZ8+eKSTzsjHFysYdfw5UUT8HDhzAvHnzULt2bfz1118K5/hj8BrKn+xz4tmzZwrPw37z5g0SEhLQsGHDD5ahys8kyl9OTg7mzJmDQ4cOoXv37li6dKnKWtFl10h6erpKyqNchb33lNQ1xD4WRJ+5vIn8ypUr4e7urtLyb968CQCwsbFRabmfA1dXV6SmpuL69esK6/z8/ADkjhUuSIMGDWBgYIArV65AEAS5dS9fvkR4eDicnZ05k30hyCa+69+/v0rLlV0nVatWVWm5n7ui3n9k15Ps+srr0qVLAHKvSyq6AwcOYO7cuahZsyb++usvlc+szWsofx96X1++fBlA4d7XqvpMIuXyJvJdu3bFsmXLVPY0oKysLNy5cwcSiUTusZv08UJDQwEU7nOmJK4hJvNEnzFZIh8bG4sVK1agY8eOBe7z/PlzPHr0CJmZmeKyV69e4fnz5wrbxsbGYvHixQByu2hS0QwYMAAAsGrVKmRkZIjLr169Cj8/PzRp0kShq5yy+jE1NUXXrl0RERGBPXv2iMsFQcCKFSuQk5Oj8uT0U3T37l2EhYXBwcEBX3zxRb7bpaWl4dGjR3jx4oXc8jt37ij95f7EiRM4duwYLC0t0bx5c5XH/akrzv0nvzr68ssvUbZsWezcuRPR0dHi8pcvX2L79u0wMzNDly5dSuBVfNr2798vl8iXK1fug9vzGlKt5s2bw9bWFj4+Prh79664PDk5GWvXroWenh569+4tLo+Pj8ejR48QHx8vV05xPpOocPIm8l26dMFvv/32wUQ+vzq6ceOGwo/2WVlZWLZsGaKiotCqVStYWFiUxEv4pD18+BBJSUkKy4OCgrB161YYGBigU6dO4vLSvIYkwvs1TkRaKygoSJycKz4+HhcuXEC1atXQuHFjAEDNmjUxZswYcXs3NzdERUWhQYMGSp8/CwCenp5yf8v2OXv2rNgC4u/vjxEjRqBx48aoWbMmzM3NERUVhfPnzyM1NRW9e/fGkiVLPjjL5+egqPUDAHPnzsX+/ftRu3ZttG3bFnFxcTh+/DgMDQ2xd+9ehUfJKasfIDcZGTBgAGJiYtCxY0fY2dkhKCgI169fR6tWrbBx40ZOiFOAn3/+GTt37sTcuXMxbNiwfLfz9/fH8OHD4erqih07dojLZ86ciTNnzqB58+aoXLkyBEHAnTt3EBQUBENDQ6xZswZt27YtjZfySSnO/Se/OgKAw4cPY/r06bC0tES3bt0gkUhw4sQJvH79GsuWLUOvXr1K+yVqtatXr2LUqFEQBAEDBw5EhQoVFLZxdHSU6xXGa0j1rl27htGjR0NfXx/du3eHqakpTp8+jcjISPz444/4/vvvxW3XrFkDLy8veHh4KHwHKOpnEhWO7JybmJhg+PDhSp8p7+7uDkdHR7nt368jNzc3AEDDhg1RsWJFvH37FoGBgXjy5AmqVKmCnTt3sqdkMaxZswabNm1C8+bNYWNjAwMDA4SHh+Py5cvQ0dHBwoUL5RpFSvMa4ph5ok/I8+fP4e3trbBM1mrl6uoqlyxGRUUBAEJCQhASEqK0zPdvQspUq1YN/fr1Q2hoKE6dOoWUlBSYmpqiYcOG6NevH7p27VrMV/RpKWr9ALnPzXZwcMC+ffuwY8cOmJiYoH379pg0aVKRfr21trbG33//jVWrVuHChQs4d+4cqlSpAk9PT4wZM4aJfAHevXuHo0ePwsDAAD179ixWGR06dEBSUhLCwsJw6dIlZGVloWLFiujXrx+++eabIj/mjnKp+v7Tq1cvWFpaYsOGDTh06BAAoF69eli6dClat25dEi/hkxYdHS22FO7bt0/pNr179y7UEC9eQ8XXrFkz7N69G6tXr8aJEyeQmZmJ2rVrY+LEiUW6p6nqM4nkyb6PpaamYt26dUq3sbGxEZP5/AwaNAiXLl1CQEAAEhISoKenh2rVqmHcuHH45ptvYG5urvLYPwdNmzbFo0ePcOfOHQQEBCAjIwPlypVD165dMXLkSNSvX7/QZan6GmLLPBEREREREZGWYVMMERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWYTJPRP+v/TogAQAAABD0/3U7An0hAAAwI/MAAAAwI/MAAAAwI/MAAAAwI/MAAAAwI/MAAAAwI/MAAAAwE0vuzYpjvlifAAAAAElFTkSuQmCC",
       "text/plain": [
-       "array([<Axes: title={'center': '94.0% HDI'}>], dtype=object)"
-      ]
-     },
-     "execution_count": 349,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 600x580 with 1 Axes>"
+       "<Figure size 1000x400 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -3527,17 +3060,21 @@
     }
    ],
    "source": [
-    "az.plot_forest(\n",
+    "ax = az.plot_forest(\n",
     "    [idata_outcome_2s_net, idata_net],\n",
     "    var_names=[\"beta_\"],\n",
     "    model_names=[\"2 Stage\", \"1 Stage\"],\n",
     "    combined=True,\n",
-    ")"
+    "    figsize=(10, 4),\n",
+    ")\n",
+    "\n",
+    "ax[0].axvline(-10, label=\"True Treatment Value\", color=\"k\")\n",
+    "ax[0].set_title(\"Comparing Joint and 2 Stage Propensity Score Parameter Fits\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 348,
+   "execution_count": 405,
    "metadata": {},
    "outputs": [
     {
@@ -3577,159 +3114,147 @@
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.483</td>\n",
-       "      <td>0.052</td>\n",
-       "      <td>-0.582</td>\n",
-       "      <td>-0.391</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>-0.484</td>\n",
+       "      <td>0.051</td>\n",
+       "      <td>-0.578</td>\n",
+       "      <td>-0.386</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>4770.0</td>\n",
-       "      <td>3146.0</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>5896.0</td>\n",
+       "      <td>3268.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
        "      <td>-9.858</td>\n",
-       "      <td>0.257</td>\n",
-       "      <td>-10.346</td>\n",
-       "      <td>-9.393</td>\n",
+       "      <td>0.255</td>\n",
+       "      <td>-10.333</td>\n",
+       "      <td>-9.374</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4654.0</td>\n",
-       "      <td>3105.0</td>\n",
+       "      <td>5167.0</td>\n",
+       "      <td>2725.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-13.665</td>\n",
-       "      <td>0.213</td>\n",
-       "      <td>-14.080</td>\n",
-       "      <td>-13.279</td>\n",
+       "      <td>-13.677</td>\n",
+       "      <td>0.209</td>\n",
+       "      <td>-14.074</td>\n",
+       "      <td>-13.284</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>2446.0</td>\n",
-       "      <td>2938.0</td>\n",
+       "      <td>2530.0</td>\n",
+       "      <td>2940.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[temperature]</th>\n",
-       "      <td>4.096</td>\n",
-       "      <td>0.139</td>\n",
-       "      <td>3.818</td>\n",
-       "      <td>4.345</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>4.097</td>\n",
+       "      <td>0.133</td>\n",
+       "      <td>3.851</td>\n",
+       "      <td>4.350</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>3299.0</td>\n",
-       "      <td>2774.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4341.0</td>\n",
+       "      <td>3140.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[health]</th>\n",
-       "      <td>2.210</td>\n",
-       "      <td>0.192</td>\n",
-       "      <td>1.853</td>\n",
-       "      <td>2.577</td>\n",
+       "      <td>2.215</td>\n",
+       "      <td>0.190</td>\n",
+       "      <td>1.852</td>\n",
+       "      <td>2.564</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>3634.0</td>\n",
-       "      <td>3142.0</td>\n",
+       "      <td>3623.0</td>\n",
+       "      <td>3022.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.117</td>\n",
-       "      <td>1.048</td>\n",
-       "      <td>-1.791</td>\n",
-       "      <td>2.195</td>\n",
-       "      <td>0.024</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>1967.0</td>\n",
-       "      <td>2576.0</td>\n",
+       "      <td>0.135</td>\n",
+       "      <td>1.018</td>\n",
+       "      <td>-1.820</td>\n",
+       "      <td>2.017</td>\n",
+       "      <td>0.021</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>2427.0</td>\n",
+       "      <td>2684.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>39.379</td>\n",
-       "      <td>0.444</td>\n",
-       "      <td>38.574</td>\n",
-       "      <td>40.239</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>2001.0</td>\n",
-       "      <td>2518.0</td>\n",
+       "      <td>39.373</td>\n",
+       "      <td>0.427</td>\n",
+       "      <td>38.610</td>\n",
+       "      <td>40.208</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>2200.0</td>\n",
+       "      <td>2843.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"5\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.615</td>\n",
-       "      <td>0.208</td>\n",
-       "      <td>-10.994</td>\n",
-       "      <td>-10.230</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>-10.398</td>\n",
+       "      <td>0.229</td>\n",
+       "      <td>-10.832</td>\n",
+       "      <td>-9.986</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7854.0</td>\n",
-       "      <td>2793.0</td>\n",
+       "      <td>6723.0</td>\n",
+       "      <td>3033.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-12.977</td>\n",
-       "      <td>0.206</td>\n",
-       "      <td>-13.383</td>\n",
-       "      <td>-12.620</td>\n",
+       "      <td>-13.447</td>\n",
+       "      <td>0.187</td>\n",
+       "      <td>-13.793</td>\n",
+       "      <td>-13.095</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4387.0</td>\n",
-       "      <td>2910.0</td>\n",
+       "      <td>5272.0</td>\n",
+       "      <td>2979.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[temperature]</th>\n",
-       "      <td>3.685</td>\n",
-       "      <td>0.127</td>\n",
-       "      <td>3.457</td>\n",
-       "      <td>3.927</td>\n",
+       "      <td>3.901</td>\n",
+       "      <td>0.128</td>\n",
+       "      <td>3.646</td>\n",
+       "      <td>4.123</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>4956.0</td>\n",
-       "      <td>3533.0</td>\n",
+       "      <td>5338.0</td>\n",
+       "      <td>3739.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[health]</th>\n",
-       "      <td>2.399</td>\n",
-       "      <td>0.152</td>\n",
-       "      <td>2.112</td>\n",
-       "      <td>2.676</td>\n",
+       "      <td>2.703</td>\n",
+       "      <td>0.185</td>\n",
+       "      <td>2.373</td>\n",
+       "      <td>3.080</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>7140.0</td>\n",
-       "      <td>2816.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>-0.005</td>\n",
-       "      <td>0.992</td>\n",
-       "      <td>-1.830</td>\n",
-       "      <td>1.840</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>8128.0</td>\n",
-       "      <td>3041.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5622.0</td>\n",
+       "      <td>2865.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>41.782</td>\n",
-       "      <td>0.298</td>\n",
-       "      <td>41.211</td>\n",
-       "      <td>42.337</td>\n",
+       "      <td>41.255</td>\n",
+       "      <td>0.294</td>\n",
+       "      <td>40.688</td>\n",
+       "      <td>41.772</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>3491.0</td>\n",
-       "      <td>2616.0</td>\n",
+       "      <td>3495.0</td>\n",
+       "      <td>3168.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3738,37 +3263,35 @@
       ],
       "text/plain": [
        "                                    mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt           -0.483  0.052  -0.582   -0.391      0.001   \n",
-       "              beta_[trt]          -9.858  0.257 -10.346   -9.393      0.004   \n",
-       "              beta_[income]      -13.665  0.213 -14.080  -13.279      0.004   \n",
-       "              beta_[temperature]   4.096  0.139   3.818    4.345      0.002   \n",
-       "              beta_[health]        2.210  0.192   1.853    2.577      0.003   \n",
-       "              beta_ps              0.117  1.048  -1.791    2.195      0.024   \n",
-       "              alpha_outcome       39.379  0.444  38.574   40.239      0.010   \n",
-       "2-stage-model beta_[trt]         -10.615  0.208 -10.994  -10.230      0.002   \n",
-       "              beta_[income]      -12.977  0.206 -13.383  -12.620      0.003   \n",
-       "              beta_[temperature]   3.685  0.127   3.457    3.927      0.002   \n",
-       "              beta_[health]        2.399  0.152   2.112    2.676      0.002   \n",
-       "              beta_ps             -0.005  0.992  -1.830    1.840      0.011   \n",
-       "              alpha_outcome       41.782  0.298  41.211   42.337      0.005   \n",
+       "1-stage-model alpha_trt           -0.484  0.051  -0.578   -0.386      0.001   \n",
+       "              beta_[trt]          -9.858  0.255 -10.333   -9.374      0.004   \n",
+       "              beta_[income]      -13.677  0.209 -14.074  -13.284      0.004   \n",
+       "              beta_[temperature]   4.097  0.133   3.851    4.350      0.002   \n",
+       "              beta_[health]        2.215  0.190   1.852    2.564      0.003   \n",
+       "              beta_ps              0.135  1.018  -1.820    2.017      0.021   \n",
+       "              alpha_outcome       39.373  0.427  38.610   40.208      0.009   \n",
+       "2-stage-model beta_[trt]         -10.398  0.229 -10.832   -9.986      0.003   \n",
+       "              beta_[income]      -13.447  0.187 -13.793  -13.095      0.003   \n",
+       "              beta_[temperature]   3.901  0.128   3.646    4.123      0.002   \n",
+       "              beta_[health]        2.703  0.185   2.373    3.080      0.002   \n",
+       "              alpha_outcome       41.255  0.294  40.688   41.772      0.005   \n",
        "\n",
        "                                  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt             0.001    4770.0    3146.0    1.0  \n",
-       "              beta_[trt]            0.003    4654.0    3105.0    1.0  \n",
-       "              beta_[income]         0.003    2446.0    2938.0    1.0  \n",
-       "              beta_[temperature]    0.002    3299.0    2774.0    1.0  \n",
-       "              beta_[health]         0.002    3634.0    3142.0    1.0  \n",
-       "              beta_ps               0.017    1967.0    2576.0    1.0  \n",
-       "              alpha_outcome         0.007    2001.0    2518.0    1.0  \n",
-       "2-stage-model beta_[trt]            0.002    7854.0    2793.0    1.0  \n",
-       "              beta_[income]         0.002    4387.0    2910.0    1.0  \n",
-       "              beta_[temperature]    0.001    4956.0    3533.0    1.0  \n",
-       "              beta_[health]         0.001    7140.0    2816.0    1.0  \n",
-       "              beta_ps               0.016    8128.0    3041.0    1.0  \n",
-       "              alpha_outcome         0.004    3491.0    2616.0    1.0  "
+       "1-stage-model alpha_trt             0.000    5896.0    3268.0    1.0  \n",
+       "              beta_[trt]            0.003    5167.0    2725.0    1.0  \n",
+       "              beta_[income]         0.003    2530.0    2940.0    1.0  \n",
+       "              beta_[temperature]    0.001    4341.0    3140.0    1.0  \n",
+       "              beta_[health]         0.002    3623.0    3022.0    1.0  \n",
+       "              beta_ps               0.015    2427.0    2684.0    1.0  \n",
+       "              alpha_outcome         0.006    2200.0    2843.0    1.0  \n",
+       "2-stage-model beta_[trt]            0.002    6723.0    3033.0    1.0  \n",
+       "              beta_[income]         0.002    5272.0    2979.0    1.0  \n",
+       "              beta_[temperature]    0.001    5338.0    3739.0    1.0  \n",
+       "              beta_[health]         0.002    5622.0    2865.0    1.0  \n",
+       "              alpha_outcome         0.004    3495.0    3168.0    1.0  "
       ]
      },
-     "execution_count": 348,
+     "execution_count": 405,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3780,7 +3303,7 @@
     "            idata_net, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
     "        ),\n",
     "        \"2-stage-model\": az.summary(\n",
-    "            idata_outcome_2s_net, var_names=[\"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "            idata_outcome_2s_net, var_names=[\"beta_\", \"alpha_outcome\"]\n",
     "        ),\n",
     "    }\n",
     ")\n",
@@ -3791,85 +3314,214 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## LaLonde Example"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 350,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "lalonde = pd.read_csv(\n",
-    "    \"https://vincentarelbundock.github.io/Rdatasets/csv/MatchIt/lalonde.csv\"\n",
-    ")\n",
-    "lalonde[[\"hispan\", \"white\"]] = pd.get_dummies(lalonde[\"race\"], drop_first=True)\n",
-    "lalonde.dropna(inplace=True)"
+    "Here again we see broad consistency between both model specifcations indicating that the regression adjustment approach in the 2 stage outcome model is appropriate and picks up on all relevant sources of confounding. "
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 351,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 720x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
    "source": [
-    "from matplotlib import pyplot as plt\n",
+    "## LaLonde Example\n",
     "\n",
-    "plt.hist(lalonde[\"re78\"], bins=30, alpha=0.5, ec=\"black\");"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 352,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "treat\n",
-       "0    6984.169742\n",
-       "1    6349.143530\n",
-       "Name: re78, dtype: float64"
-      ]
-     },
-     "execution_count": 352,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "lalonde.groupby(\"treat\")[\"re78\"].mean()"
+    "The Lalonde Data set is famous because it highlights a problem with naive causal contrasts. It is discussed by Angrist and Pischke in their _Mostly Harmless Econometrics_ as an example of how regression controls can tolerably address selection effects in a way similar to propensity score weighting. So we should hope the a well specified outcome model can identify the treatment effects plausibly here too. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 361,
+   "execution_count": 409,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n"
-     ]
-    },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "82640eaf77f3402583d40055965844c6",
-       "version_major": 2,
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rownames</th>\n",
+       "      <th>treat</th>\n",
+       "      <th>age</th>\n",
+       "      <th>educ</th>\n",
+       "      <th>race</th>\n",
+       "      <th>married</th>\n",
+       "      <th>nodegree</th>\n",
+       "      <th>re74</th>\n",
+       "      <th>re75</th>\n",
+       "      <th>re78</th>\n",
+       "      <th>hispan</th>\n",
+       "      <th>white</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NSW1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>37</td>\n",
+       "      <td>11</td>\n",
+       "      <td>black</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>9930.0460</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NSW2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>22</td>\n",
+       "      <td>9</td>\n",
+       "      <td>hispan</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3595.8940</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NSW3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>12</td>\n",
+       "      <td>black</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24909.4500</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>NSW4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>27</td>\n",
+       "      <td>11</td>\n",
+       "      <td>black</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>7506.1460</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NSW5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>33</td>\n",
+       "      <td>8</td>\n",
+       "      <td>black</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>289.7899</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  rownames  treat  age  educ    race  married  nodegree  re74  re75  \\\n",
+       "0     NSW1      1   37    11   black        1         1   0.0   0.0   \n",
+       "1     NSW2      1   22     9  hispan        0         1   0.0   0.0   \n",
+       "2     NSW3      1   30    12   black        0         0   0.0   0.0   \n",
+       "3     NSW4      1   27    11   black        0         1   0.0   0.0   \n",
+       "4     NSW5      1   33     8   black        0         1   0.0   0.0   \n",
+       "\n",
+       "         re78  hispan  white  \n",
+       "0   9930.0460   False  False  \n",
+       "1   3595.8940    True  False  \n",
+       "2  24909.4500   False  False  \n",
+       "3   7506.1460   False  False  \n",
+       "4    289.7899   False  False  "
+      ]
+     },
+     "execution_count": 409,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lalonde = pd.read_csv(\"../../../causalpy/data/lalonde.csv\")\n",
+    "lalonde[[\"hispan\", \"white\"]] = pd.get_dummies(lalonde[\"race\"], drop_first=True)\n",
+    "lalonde.dropna(inplace=True)\n",
+    "lalonde.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 411,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "treat\n",
+       "0           NaN\n",
+       "1   -635.026212\n",
+       "Name: re78, dtype: float64"
+      ]
+     },
+     "execution_count": 411,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lalonde.groupby(\"treat\")[\"re78\"].mean().diff()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The Naive group difference suggests a negative effect. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 415,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "2437534575f644d0b2dcd919c510ea71",
+       "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
@@ -3882,7 +3534,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1c7262124025443984d6dd746277bd86",
+       "model_id": "f70813f389404728aee74eb0fa856276",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3896,7 +3548,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "43a3715553384a778067e5f215d18bcf",
+       "model_id": "d1a973682f4c4ea78846c6dcb544add3",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3910,7 +3562,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "449c7b54583d4aca9643733104d62b15",
+       "model_id": "063ba3e7809e4542b6ee831ef2515fee",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3939,7 +3591,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "22fbd4f65d824b67b0b72eca9106ea27",
+       "model_id": "549ae49d384448e0ba61537071e59479",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3972,12 +3624,12 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 5 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps_spline, beta_std, like, sigma]\n",
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps_spline, beta_ps, alpha_outcome, sigma]\n",
+      "NUTS: [beta_std, beta_ps_spline, alpha_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n"
      ]
@@ -3985,7 +3637,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4bed0a7281cc43999e5a9bca7a15057c",
+       "model_id": "f732115d0fd548c3a0c8d6ba6249aa30",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4018,7 +3670,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 22 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
      ]
     }
    ],
@@ -4035,6 +3687,7 @@
     "    .astype(np.int32)\n",
     "    .values\n",
     ")\n",
+    "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
     "\n",
     "X_outcome = (\n",
     "    lalonde[[\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
@@ -4058,1166 +3711,384 @@
     "\n",
     "with lalonde_model:\n",
     "    idata_lalonde = pm.sample(tune=5000, nuts_sampler=\"numpyro\")\n",
-    "\n",
-    "(\n",
-    "    idata_treatment_2s_lalonde,\n",
-    "    idata_outcome_2s_lalonde,\n",
-    "    treatment_model_lalonde,\n",
-    "    outcome_model_lalonde,\n",
-    ") = make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 362,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"10\" valign=\"top\">1-stage-model</th>\n",
-       "      <th>alpha_trt</th>\n",
-       "      <td>-0.778</td>\n",
-       "      <td>0.665</td>\n",
-       "      <td>-1.957</td>\n",
-       "      <td>0.533</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>2993.0</td>\n",
-       "      <td>2796.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[treat]</th>\n",
-       "      <td>1150.855</td>\n",
-       "      <td>46.722</td>\n",
-       "      <td>1065.370</td>\n",
-       "      <td>1241.935</td>\n",
-       "      <td>0.756</td>\n",
-       "      <td>0.536</td>\n",
-       "      <td>3830.0</td>\n",
-       "      <td>2796.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[age]</th>\n",
-       "      <td>53.622</td>\n",
-       "      <td>1.911</td>\n",
-       "      <td>49.972</td>\n",
-       "      <td>57.117</td>\n",
-       "      <td>0.027</td>\n",
-       "      <td>0.019</td>\n",
-       "      <td>5058.0</td>\n",
-       "      <td>3064.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[educ]</th>\n",
-       "      <td>505.376</td>\n",
-       "      <td>9.528</td>\n",
-       "      <td>488.481</td>\n",
-       "      <td>524.327</td>\n",
-       "      <td>0.180</td>\n",
-       "      <td>0.128</td>\n",
-       "      <td>2792.0</td>\n",
-       "      <td>2713.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[hispan]</th>\n",
-       "      <td>2136.946</td>\n",
-       "      <td>62.119</td>\n",
-       "      <td>2023.807</td>\n",
-       "      <td>2253.300</td>\n",
-       "      <td>1.020</td>\n",
-       "      <td>0.722</td>\n",
-       "      <td>3713.0</td>\n",
-       "      <td>2931.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[white]</th>\n",
-       "      <td>1518.442</td>\n",
-       "      <td>47.207</td>\n",
-       "      <td>1433.465</td>\n",
-       "      <td>1608.801</td>\n",
-       "      <td>0.788</td>\n",
-       "      <td>0.559</td>\n",
-       "      <td>3605.0</td>\n",
-       "      <td>2730.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[married]</th>\n",
-       "      <td>2135.800</td>\n",
-       "      <td>38.755</td>\n",
-       "      <td>2065.817</td>\n",
-       "      <td>2210.914</td>\n",
-       "      <td>0.528</td>\n",
-       "      <td>0.374</td>\n",
-       "      <td>5393.0</td>\n",
-       "      <td>3293.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[nodegree]</th>\n",
-       "      <td>-129.019</td>\n",
-       "      <td>51.408</td>\n",
-       "      <td>-226.779</td>\n",
-       "      <td>-33.858</td>\n",
-       "      <td>0.926</td>\n",
-       "      <td>0.655</td>\n",
-       "      <td>3081.0</td>\n",
-       "      <td>2898.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>0.012</td>\n",
-       "      <td>1.001</td>\n",
-       "      <td>-1.830</td>\n",
-       "      <td>1.905</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>6257.0</td>\n",
-       "      <td>3009.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>-2002.121</td>\n",
-       "      <td>146.600</td>\n",
-       "      <td>-2261.369</td>\n",
-       "      <td>-1725.481</td>\n",
-       "      <td>2.895</td>\n",
-       "      <td>2.054</td>\n",
-       "      <td>2562.0</td>\n",
-       "      <td>2617.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"9\" valign=\"top\">2-stage-model</th>\n",
-       "      <th>beta_[treat]</th>\n",
-       "      <td>1150.679</td>\n",
-       "      <td>48.381</td>\n",
-       "      <td>1057.253</td>\n",
-       "      <td>1237.195</td>\n",
-       "      <td>0.737</td>\n",
-       "      <td>0.522</td>\n",
-       "      <td>4327.0</td>\n",
-       "      <td>2927.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[age]</th>\n",
-       "      <td>53.672</td>\n",
-       "      <td>1.960</td>\n",
-       "      <td>49.744</td>\n",
-       "      <td>57.069</td>\n",
-       "      <td>0.027</td>\n",
-       "      <td>0.019</td>\n",
-       "      <td>5255.0</td>\n",
-       "      <td>3146.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[educ]</th>\n",
-       "      <td>505.445</td>\n",
-       "      <td>9.503</td>\n",
-       "      <td>486.808</td>\n",
-       "      <td>522.657</td>\n",
-       "      <td>0.193</td>\n",
-       "      <td>0.137</td>\n",
-       "      <td>2424.0</td>\n",
-       "      <td>2663.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[hispan]</th>\n",
-       "      <td>2138.067</td>\n",
-       "      <td>60.286</td>\n",
-       "      <td>2023.502</td>\n",
-       "      <td>2249.702</td>\n",
-       "      <td>0.908</td>\n",
-       "      <td>0.644</td>\n",
-       "      <td>4418.0</td>\n",
-       "      <td>2793.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[white]</th>\n",
-       "      <td>1519.274</td>\n",
-       "      <td>45.959</td>\n",
-       "      <td>1431.339</td>\n",
-       "      <td>1603.639</td>\n",
-       "      <td>0.747</td>\n",
-       "      <td>0.530</td>\n",
-       "      <td>3796.0</td>\n",
-       "      <td>3442.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[married]</th>\n",
-       "      <td>2134.052</td>\n",
-       "      <td>39.245</td>\n",
-       "      <td>2061.698</td>\n",
-       "      <td>2207.319</td>\n",
-       "      <td>0.491</td>\n",
-       "      <td>0.347</td>\n",
-       "      <td>6358.0</td>\n",
-       "      <td>3014.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[nodegree]</th>\n",
-       "      <td>-128.707</td>\n",
-       "      <td>51.636</td>\n",
-       "      <td>-229.548</td>\n",
-       "      <td>-36.018</td>\n",
-       "      <td>0.983</td>\n",
-       "      <td>0.704</td>\n",
-       "      <td>2762.0</td>\n",
-       "      <td>2884.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>-0.001</td>\n",
-       "      <td>0.970</td>\n",
-       "      <td>-1.763</td>\n",
-       "      <td>1.827</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>8043.0</td>\n",
-       "      <td>2976.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>-2004.141</td>\n",
-       "      <td>144.361</td>\n",
-       "      <td>-2280.690</td>\n",
-       "      <td>-1747.467</td>\n",
-       "      <td>3.096</td>\n",
-       "      <td>2.190</td>\n",
-       "      <td>2179.0</td>\n",
-       "      <td>2345.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                   mean       sd    hdi_3%   hdi_97%  \\\n",
-       "1-stage-model alpha_trt          -0.778    0.665    -1.957     0.533   \n",
-       "              beta_[treat]     1150.855   46.722  1065.370  1241.935   \n",
-       "              beta_[age]         53.622    1.911    49.972    57.117   \n",
-       "              beta_[educ]       505.376    9.528   488.481   524.327   \n",
-       "              beta_[hispan]    2136.946   62.119  2023.807  2253.300   \n",
-       "              beta_[white]     1518.442   47.207  1433.465  1608.801   \n",
-       "              beta_[married]   2135.800   38.755  2065.817  2210.914   \n",
-       "              beta_[nodegree]  -129.019   51.408  -226.779   -33.858   \n",
-       "              beta_ps             0.012    1.001    -1.830     1.905   \n",
-       "              alpha_outcome   -2002.121  146.600 -2261.369 -1725.481   \n",
-       "2-stage-model beta_[treat]     1150.679   48.381  1057.253  1237.195   \n",
-       "              beta_[age]         53.672    1.960    49.744    57.069   \n",
-       "              beta_[educ]       505.445    9.503   486.808   522.657   \n",
-       "              beta_[hispan]    2138.067   60.286  2023.502  2249.702   \n",
-       "              beta_[white]     1519.274   45.959  1431.339  1603.639   \n",
-       "              beta_[married]   2134.052   39.245  2061.698  2207.319   \n",
-       "              beta_[nodegree]  -128.707   51.636  -229.548   -36.018   \n",
-       "              beta_ps            -0.001    0.970    -1.763     1.827   \n",
-       "              alpha_outcome   -2004.141  144.361 -2280.690 -1747.467   \n",
-       "\n",
-       "                               mcse_mean  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt            0.012    0.009    2993.0    2796.0    1.0  \n",
-       "              beta_[treat]         0.756    0.536    3830.0    2796.0    1.0  \n",
-       "              beta_[age]           0.027    0.019    5058.0    3064.0    1.0  \n",
-       "              beta_[educ]          0.180    0.128    2792.0    2713.0    1.0  \n",
-       "              beta_[hispan]        1.020    0.722    3713.0    2931.0    1.0  \n",
-       "              beta_[white]         0.788    0.559    3605.0    2730.0    1.0  \n",
-       "              beta_[married]       0.528    0.374    5393.0    3293.0    1.0  \n",
-       "              beta_[nodegree]      0.926    0.655    3081.0    2898.0    1.0  \n",
-       "              beta_ps              0.013    0.016    6257.0    3009.0    1.0  \n",
-       "              alpha_outcome        2.895    2.054    2562.0    2617.0    1.0  \n",
-       "2-stage-model beta_[treat]         0.737    0.522    4327.0    2927.0    1.0  \n",
-       "              beta_[age]           0.027    0.019    5255.0    3146.0    1.0  \n",
-       "              beta_[educ]          0.193    0.137    2424.0    2663.0    1.0  \n",
-       "              beta_[hispan]        0.908    0.644    4418.0    2793.0    1.0  \n",
-       "              beta_[white]         0.747    0.530    3796.0    3442.0    1.0  \n",
-       "              beta_[married]       0.491    0.347    6358.0    3014.0    1.0  \n",
-       "              beta_[nodegree]      0.983    0.704    2762.0    2884.0    1.0  \n",
-       "              beta_ps              0.011    0.017    8043.0    2976.0    1.0  \n",
-       "              alpha_outcome        3.096    2.190    2179.0    2345.0    1.0  "
-      ]
-     },
-     "execution_count": 362,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "compare_estimate = pd.concat(\n",
-    "    {\n",
-    "        \"1-stage-model\": az.summary(\n",
-    "            idata_lalonde, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
-    "        ),\n",
-    "        \"2-stage-model\": az.summary(\n",
-    "            idata_outcome_2s_lalonde, var_names=[\"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
-    "        ),\n",
-    "    }\n",
-    ")\n",
-    "compare_estimate"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 363,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: [like]\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a7b0e90cd5ba416bae6ac495c12de6a1",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: [like]\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "decc6287f2d6432283c99aecce492d7a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
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-     "output_type": "display_data"
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-    "X_outcome_trt = X_outcome.copy()\n",
-    "X_outcome_trt[:, 0] = 1\n",
-    "X_outcome_trt = X_outcome_trt.astype(np.int32)\n",
-    "\n",
-    "X_outcome_ntrt = X_outcome.copy()\n",
-    "X_outcome_ntrt[:, 0] = 0\n",
-    "X_outcome_ntrt = X_outcome_ntrt.astype(np.int32)\n",
-    "\n",
-    "\n",
-    "with pm.do(\n",
-    "    lalonde_model,\n",
-    "    {\"T\": np.ones(len(lalonde), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
-    "    prune_vars=True,\n",
-    ") as treatment_model:\n",
-    "    idata_trt = pm.sample_posterior_predictive(idata_lalonde, var_names=[\"like\", \"p\"])\n",
-    "\n",
-    "with pm.do(\n",
-    "    lalonde_model,\n",
-    "    {\"T\": np.zeros(len(lalonde), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
-    "    prune_vars=True,\n",
-    ") as ntreatment_model:\n",
-    "    idata_ntrt = pm.sample_posterior_predictive(idata_lalonde, var_names=[\"like\", \"p\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 364,
-   "metadata": {},
-   "outputs": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(1151.11656973)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5b422895-7307-4d76-8b85-2b2e9f13f29c' class='xr-array-in' type='checkbox' checked><label for='section-5b422895-7307-4d76-8b85-2b2e9f13f29c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.151e+03</span></div><div class='xr-array-data'><pre>array(1151.11656973)</pre></div></div></li><li class='xr-section-item'><input id='section-f37ffc39-0868-4571-911a-0bf28b414041' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f37ffc39-0868-4571-911a-0bf28b414041' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1af7b45c-b031-4a39-92ff-c7a8716484fa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1af7b45c-b031-4a39-92ff-c7a8716484fa' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-175b4b7a-f9f1-4b6c-af8f-d66424a915ff' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-175b4b7a-f9f1-4b6c-af8f-d66424a915ff' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(1151.11656973)"
-      ]
-     },
-     "execution_count": 364,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
+    "\n",
     "(\n",
-    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
-    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
-    ")"
+    "    idata_treatment_2s_lalonde,\n",
+    "    idata_outcome_2s_lalonde,\n",
+    "    treatment_model_lalonde,\n",
+    "    outcome_model_lalonde,\n",
+    ") = make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 365,
+   "execution_count": 419,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<table class=\"simpletable\">\n",
-       "<caption>OLS Regression Results</caption>\n",
-       "<tr>\n",
-       "  <th>Dep. Variable:</th>          <td>re78</td>       <th>  R-squared:         </th> <td>   0.002</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>  -0.000</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>  0.9338</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Date:</th>             <td>Wed, 09 Jul 2025</td> <th>  Prob (F-statistic):</th>  <td> 0.334</td>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Time:</th>                 <td>13:31:28</td>     <th>  Log-Likelihood:    </th> <td> -6346.4</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.270e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Residuals:</th>          <td>   612</td>      <th>  BIC:               </th> <td>1.271e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Intercept</th> <td> 6984.1697</td> <td>  360.710</td> <td>   19.362</td> <td> 0.000</td> <td> 6275.791</td> <td> 7692.549</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>treat</th>     <td> -635.0262</td> <td>  657.137</td> <td>   -0.966</td> <td> 0.334</td> <td>-1925.544</td> <td>  655.492</td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "  <th>Omnibus:</th>       <td>209.619</td> <th>  Durbin-Watson:     </th> <td>   1.809</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 775.567</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Skew:</th>          <td> 1.567</td>  <th>  Prob(JB):          </th> <td>3.87e-169</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Kurtosis:</th>      <td> 7.527</td>  <th>  Cond. No.          </th> <td>    2.42</td> \n",
-       "</tr>\n",
-       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
-      ],
-      "text/latex": [
-       "\\begin{center}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\toprule\n",
-       "\\textbf{Dep. Variable:}    &       re78       & \\textbf{  R-squared:         } &     0.002   \\\\\n",
-       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &    -0.000   \\\\\n",
-       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &    0.9338   \\\\\n",
-       "\\textbf{Date:}             & Wed, 09 Jul 2025 & \\textbf{  Prob (F-statistic):} &    0.334    \\\\\n",
-       "\\textbf{Time:}             &     13:31:28     & \\textbf{  Log-Likelihood:    } &   -6346.4   \\\\\n",
-       "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.270e+04   \\\\\n",
-       "\\textbf{Df Residuals:}     &         612      & \\textbf{  BIC:               } & 1.271e+04   \\\\\n",
-       "\\textbf{Df Model:}         &           1      & \\textbf{                     } &             \\\\\n",
-       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lcccccc}\n",
-       "                   & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
-       "\\midrule\n",
-       "\\textbf{Intercept} &    6984.1697  &      360.710     &    19.362  &         0.000        &     6275.791    &     7692.549     \\\\\n",
-       "\\textbf{treat}     &    -635.0262  &      657.137     &    -0.966  &         0.334        &    -1925.544    &      655.492     \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\textbf{Omnibus:}       & 209.619 & \\textbf{  Durbin-Watson:     } &     1.809  \\\\\n",
-       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &   775.567  \\\\\n",
-       "\\textbf{Skew:}          &   1.567 & \\textbf{  Prob(JB):          } & 3.87e-169  \\\\\n",
-       "\\textbf{Kurtosis:}      &   7.527 & \\textbf{  Cond. No.          } &      2.42  \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "%\\caption{OLS Regression Results}\n",
-       "\\end{center}\n",
-       "\n",
-       "Notes: \\newline\n",
-       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
-      ],
+      "image/png": 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",
       "text/plain": [
-       "<class 'statsmodels.iolib.summary.Summary'>\n",
-       "\"\"\"\n",
-       "                            OLS Regression Results                            \n",
-       "==============================================================================\n",
-       "Dep. Variable:                   re78   R-squared:                       0.002\n",
-       "Model:                            OLS   Adj. R-squared:                 -0.000\n",
-       "Method:                 Least Squares   F-statistic:                    0.9338\n",
-       "Date:                Wed, 09 Jul 2025   Prob (F-statistic):              0.334\n",
-       "Time:                        13:31:28   Log-Likelihood:                -6346.4\n",
-       "No. Observations:                 614   AIC:                         1.270e+04\n",
-       "Df Residuals:                     612   BIC:                         1.271e+04\n",
-       "Df Model:                           1                                         \n",
-       "Covariance Type:            nonrobust                                         \n",
-       "==============================================================================\n",
-       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
-       "------------------------------------------------------------------------------\n",
-       "Intercept   6984.1697    360.710     19.362      0.000    6275.791    7692.549\n",
-       "treat       -635.0262    657.137     -0.966      0.334   -1925.544     655.492\n",
-       "==============================================================================\n",
-       "Omnibus:                      209.619   Durbin-Watson:                   1.809\n",
-       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              775.567\n",
-       "Skew:                           1.567   Prob(JB):                    3.87e-169\n",
-       "Kurtosis:                       7.527   Cond. No.                         2.42\n",
-       "==============================================================================\n",
-       "\n",
-       "Notes:\n",
-       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
-       "\"\"\""
+       "<Figure size 1000x400 with 1 Axes>"
       ]
      },
-     "execution_count": 365,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "res = smf.ols(\"re78 ~ treat \", lalonde).fit()\n",
-    "res.summary()"
+    "ax = az.plot_forest(\n",
+    "    [idata_outcome_2s_lalonde, idata_lalonde],\n",
+    "    var_names=[\"beta_\"],\n",
+    "    model_names=[\"2 Stage\", \"1 Stage\"],\n",
+    "    combined=True,\n",
+    "    figsize=(10, 4),\n",
+    ")\n",
+    "\n",
+    "ax[0].set_title(\"Comparing Joint and 2 Stage Propensity Score Parameter Fits\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 366,
+   "execution_count": 416,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<table class=\"simpletable\">\n",
-       "<caption>OLS Regression Results</caption>\n",
-       "<tr>\n",
-       "  <th>Dep. Variable:</th>          <td>re78</td>       <th>  R-squared:         </th> <td>   0.071</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.060</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   6.594</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Date:</th>             <td>Wed, 09 Jul 2025</td> <th>  Prob (F-statistic):</th> <td>1.59e-07</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Time:</th>                 <td>13:31:32</td>     <th>  Log-Likelihood:    </th> <td> -6324.3</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>No. Observations:</th>      <td>   614</td>      <th>  AIC:               </th> <td>1.266e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Residuals:</th>          <td>   606</td>      <th>  BIC:               </th> <td>1.270e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Model:</th>              <td>     7</td>      <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "         <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Intercept</th>      <td>-2352.7506</td> <td> 2540.562</td> <td>   -0.926</td> <td> 0.355</td> <td>-7342.126</td> <td> 2636.625</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>hispan[T.True]</th> <td> 2173.6001</td> <td> 1059.746</td> <td>    2.051</td> <td> 0.041</td> <td>   92.380</td> <td> 4254.820</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>white[T.True]</th>  <td> 1538.0720</td> <td>  798.864</td> <td>    1.925</td> <td> 0.055</td> <td>  -30.807</td> <td> 3106.951</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>treat</th>          <td> 1163.9224</td> <td>  811.617</td> <td>    1.434</td> <td> 0.152</td> <td> -430.001</td> <td> 2757.845</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>age</th>            <td>   55.8953</td> <td>   32.831</td> <td>    1.703</td> <td> 0.089</td> <td>   -8.582</td> <td>  120.372</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>educ</th>           <td>  525.5796</td> <td>  164.381</td> <td>    3.197</td> <td> 0.001</td> <td>  202.753</td> <td>  848.406</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>married</th>        <td> 2136.9467</td> <td>  679.736</td> <td>    3.144</td> <td> 0.002</td> <td>  802.022</td> <td> 3471.871</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>nodegree</th>       <td>  -36.4776</td> <td>  882.377</td> <td>   -0.041</td> <td> 0.967</td> <td>-1769.367</td> <td> 1696.411</td>\n",
-       "</tr>\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"10\" valign=\"top\">1-stage-model</th>\n",
+       "      <th>alpha_trt</th>\n",
+       "      <td>-1.355</td>\n",
+       "      <td>0.139</td>\n",
+       "      <td>-1.605</td>\n",
+       "      <td>-1.091</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3330.0</td>\n",
+       "      <td>2698.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[treat]</th>\n",
+       "      <td>1149.719</td>\n",
+       "      <td>47.432</td>\n",
+       "      <td>1065.331</td>\n",
+       "      <td>1242.215</td>\n",
+       "      <td>0.860</td>\n",
+       "      <td>0.608</td>\n",
+       "      <td>3040.0</td>\n",
+       "      <td>3062.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>53.667</td>\n",
+       "      <td>1.922</td>\n",
+       "      <td>50.150</td>\n",
+       "      <td>57.373</td>\n",
+       "      <td>0.033</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>3329.0</td>\n",
+       "      <td>2843.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[educ]</th>\n",
+       "      <td>505.114</td>\n",
+       "      <td>9.162</td>\n",
+       "      <td>487.609</td>\n",
+       "      <td>522.057</td>\n",
+       "      <td>0.214</td>\n",
+       "      <td>0.151</td>\n",
+       "      <td>1840.0</td>\n",
+       "      <td>2486.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[hispan]</th>\n",
+       "      <td>2135.908</td>\n",
+       "      <td>61.219</td>\n",
+       "      <td>2018.786</td>\n",
+       "      <td>2249.659</td>\n",
+       "      <td>1.063</td>\n",
+       "      <td>0.752</td>\n",
+       "      <td>3308.0</td>\n",
+       "      <td>3127.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[white]</th>\n",
+       "      <td>1516.877</td>\n",
+       "      <td>46.940</td>\n",
+       "      <td>1434.939</td>\n",
+       "      <td>1606.563</td>\n",
+       "      <td>0.894</td>\n",
+       "      <td>0.632</td>\n",
+       "      <td>2753.0</td>\n",
+       "      <td>2722.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[married]</th>\n",
+       "      <td>2134.419</td>\n",
+       "      <td>40.375</td>\n",
+       "      <td>2057.024</td>\n",
+       "      <td>2207.299</td>\n",
+       "      <td>0.703</td>\n",
+       "      <td>0.497</td>\n",
+       "      <td>3310.0</td>\n",
+       "      <td>2565.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[nodegree]</th>\n",
+       "      <td>-130.674</td>\n",
+       "      <td>49.781</td>\n",
+       "      <td>-224.402</td>\n",
+       "      <td>-38.994</td>\n",
+       "      <td>1.108</td>\n",
+       "      <td>0.792</td>\n",
+       "      <td>2021.0</td>\n",
+       "      <td>2664.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>0.044</td>\n",
+       "      <td>1.001</td>\n",
+       "      <td>-1.934</td>\n",
+       "      <td>1.807</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>4589.0</td>\n",
+       "      <td>2672.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>-1997.598</td>\n",
+       "      <td>142.574</td>\n",
+       "      <td>-2257.739</td>\n",
+       "      <td>-1732.050</td>\n",
+       "      <td>3.485</td>\n",
+       "      <td>2.465</td>\n",
+       "      <td>1674.0</td>\n",
+       "      <td>2349.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"8\" valign=\"top\">2-stage-model</th>\n",
+       "      <th>beta_[treat]</th>\n",
+       "      <td>1150.944</td>\n",
+       "      <td>47.697</td>\n",
+       "      <td>1054.922</td>\n",
+       "      <td>1234.678</td>\n",
+       "      <td>0.701</td>\n",
+       "      <td>0.496</td>\n",
+       "      <td>4614.0</td>\n",
+       "      <td>3288.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>53.679</td>\n",
+       "      <td>1.943</td>\n",
+       "      <td>49.861</td>\n",
+       "      <td>57.123</td>\n",
+       "      <td>0.028</td>\n",
+       "      <td>0.020</td>\n",
+       "      <td>4690.0</td>\n",
+       "      <td>2976.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[educ]</th>\n",
+       "      <td>505.201</td>\n",
+       "      <td>9.355</td>\n",
+       "      <td>487.661</td>\n",
+       "      <td>522.066</td>\n",
+       "      <td>0.191</td>\n",
+       "      <td>0.135</td>\n",
+       "      <td>2411.0</td>\n",
+       "      <td>2964.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[hispan]</th>\n",
+       "      <td>2136.087</td>\n",
+       "      <td>61.713</td>\n",
+       "      <td>2032.252</td>\n",
+       "      <td>2262.126</td>\n",
+       "      <td>0.892</td>\n",
+       "      <td>0.631</td>\n",
+       "      <td>4827.0</td>\n",
+       "      <td>2604.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[white]</th>\n",
+       "      <td>1518.493</td>\n",
+       "      <td>46.967</td>\n",
+       "      <td>1437.026</td>\n",
+       "      <td>1609.413</td>\n",
+       "      <td>0.739</td>\n",
+       "      <td>0.523</td>\n",
+       "      <td>4050.0</td>\n",
+       "      <td>2945.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[married]</th>\n",
+       "      <td>2134.947</td>\n",
+       "      <td>41.064</td>\n",
+       "      <td>2059.841</td>\n",
+       "      <td>2215.577</td>\n",
+       "      <td>0.508</td>\n",
+       "      <td>0.359</td>\n",
+       "      <td>6524.0</td>\n",
+       "      <td>2973.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[nodegree]</th>\n",
+       "      <td>-130.579</td>\n",
+       "      <td>50.495</td>\n",
+       "      <td>-226.073</td>\n",
+       "      <td>-36.906</td>\n",
+       "      <td>0.975</td>\n",
+       "      <td>0.689</td>\n",
+       "      <td>2686.0</td>\n",
+       "      <td>2933.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>-2000.090</td>\n",
+       "      <td>144.644</td>\n",
+       "      <td>-2259.261</td>\n",
+       "      <td>-1721.027</td>\n",
+       "      <td>3.081</td>\n",
+       "      <td>2.182</td>\n",
+       "      <td>2206.0</td>\n",
+       "      <td>2622.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
        "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "  <th>Omnibus:</th>       <td>201.275</td> <th>  Durbin-Watson:     </th> <td>   1.903</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 848.900</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Skew:</th>          <td> 1.446</td>  <th>  Prob(JB):          </th> <td>4.61e-185</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Kurtosis:</th>      <td> 7.982</td>  <th>  Cond. No.          </th> <td>    279.</td> \n",
-       "</tr>\n",
-       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
-      ],
-      "text/latex": [
-       "\\begin{center}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\toprule\n",
-       "\\textbf{Dep. Variable:}    &       re78       & \\textbf{  R-squared:         } &     0.071   \\\\\n",
-       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.060   \\\\\n",
-       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     6.594   \\\\\n",
-       "\\textbf{Date:}             & Wed, 09 Jul 2025 & \\textbf{  Prob (F-statistic):} &  1.59e-07   \\\\\n",
-       "\\textbf{Time:}             &     13:31:32     & \\textbf{  Log-Likelihood:    } &   -6324.3   \\\\\n",
-       "\\textbf{No. Observations:} &         614      & \\textbf{  AIC:               } & 1.266e+04   \\\\\n",
-       "\\textbf{Df Residuals:}     &         606      & \\textbf{  BIC:               } & 1.270e+04   \\\\\n",
-       "\\textbf{Df Model:}         &           7      & \\textbf{                     } &             \\\\\n",
-       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lcccccc}\n",
-       "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
-       "\\midrule\n",
-       "\\textbf{Intercept}      &   -2352.7506  &     2540.562     &    -0.926  &         0.355        &    -7342.126    &     2636.625     \\\\\n",
-       "\\textbf{hispan[T.True]} &    2173.6001  &     1059.746     &     2.051  &         0.041        &       92.380    &     4254.820     \\\\\n",
-       "\\textbf{white[T.True]}  &    1538.0720  &      798.864     &     1.925  &         0.055        &      -30.807    &     3106.951     \\\\\n",
-       "\\textbf{treat}          &    1163.9224  &      811.617     &     1.434  &         0.152        &     -430.001    &     2757.845     \\\\\n",
-       "\\textbf{age}            &      55.8953  &       32.831     &     1.703  &         0.089        &       -8.582    &      120.372     \\\\\n",
-       "\\textbf{educ}           &     525.5796  &      164.381     &     3.197  &         0.001        &      202.753    &      848.406     \\\\\n",
-       "\\textbf{married}        &    2136.9467  &      679.736     &     3.144  &         0.002        &      802.022    &     3471.871     \\\\\n",
-       "\\textbf{nodegree}       &     -36.4776  &      882.377     &    -0.041  &         0.967        &    -1769.367    &     1696.411     \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\textbf{Omnibus:}       & 201.275 & \\textbf{  Durbin-Watson:     } &     1.903  \\\\\n",
-       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &   848.900  \\\\\n",
-       "\\textbf{Skew:}          &   1.446 & \\textbf{  Prob(JB):          } & 4.61e-185  \\\\\n",
-       "\\textbf{Kurtosis:}      &   7.982 & \\textbf{  Cond. No.          } &      279.  \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "%\\caption{OLS Regression Results}\n",
-       "\\end{center}\n",
-       "\n",
-       "Notes: \\newline\n",
-       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+       "</div>"
       ],
       "text/plain": [
-       "<class 'statsmodels.iolib.summary.Summary'>\n",
-       "\"\"\"\n",
-       "                            OLS Regression Results                            \n",
-       "==============================================================================\n",
-       "Dep. Variable:                   re78   R-squared:                       0.071\n",
-       "Model:                            OLS   Adj. R-squared:                  0.060\n",
-       "Method:                 Least Squares   F-statistic:                     6.594\n",
-       "Date:                Wed, 09 Jul 2025   Prob (F-statistic):           1.59e-07\n",
-       "Time:                        13:31:32   Log-Likelihood:                -6324.3\n",
-       "No. Observations:                 614   AIC:                         1.266e+04\n",
-       "Df Residuals:                     606   BIC:                         1.270e+04\n",
-       "Df Model:                           7                                         \n",
-       "Covariance Type:            nonrobust                                         \n",
-       "==================================================================================\n",
-       "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
-       "----------------------------------------------------------------------------------\n",
-       "Intercept      -2352.7506   2540.562     -0.926      0.355   -7342.126    2636.625\n",
-       "hispan[T.True]  2173.6001   1059.746      2.051      0.041      92.380    4254.820\n",
-       "white[T.True]   1538.0720    798.864      1.925      0.055     -30.807    3106.951\n",
-       "treat           1163.9224    811.617      1.434      0.152    -430.001    2757.845\n",
-       "age               55.8953     32.831      1.703      0.089      -8.582     120.372\n",
-       "educ             525.5796    164.381      3.197      0.001     202.753     848.406\n",
-       "married         2136.9467    679.736      3.144      0.002     802.022    3471.871\n",
-       "nodegree         -36.4776    882.377     -0.041      0.967   -1769.367    1696.411\n",
-       "==============================================================================\n",
-       "Omnibus:                      201.275   Durbin-Watson:                   1.903\n",
-       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              848.900\n",
-       "Skew:                           1.446   Prob(JB):                    4.61e-185\n",
-       "Kurtosis:                       7.982   Cond. No.                         279.\n",
-       "==============================================================================\n",
-       "\n",
-       "Notes:\n",
-       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
-       "\"\"\""
+       "                                   mean       sd    hdi_3%   hdi_97%  \\\n",
+       "1-stage-model alpha_trt          -1.355    0.139    -1.605    -1.091   \n",
+       "              beta_[treat]     1149.719   47.432  1065.331  1242.215   \n",
+       "              beta_[age]         53.667    1.922    50.150    57.373   \n",
+       "              beta_[educ]       505.114    9.162   487.609   522.057   \n",
+       "              beta_[hispan]    2135.908   61.219  2018.786  2249.659   \n",
+       "              beta_[white]     1516.877   46.940  1434.939  1606.563   \n",
+       "              beta_[married]   2134.419   40.375  2057.024  2207.299   \n",
+       "              beta_[nodegree]  -130.674   49.781  -224.402   -38.994   \n",
+       "              beta_ps             0.044    1.001    -1.934     1.807   \n",
+       "              alpha_outcome   -1997.598  142.574 -2257.739 -1732.050   \n",
+       "2-stage-model beta_[treat]     1150.944   47.697  1054.922  1234.678   \n",
+       "              beta_[age]         53.679    1.943    49.861    57.123   \n",
+       "              beta_[educ]       505.201    9.355   487.661   522.066   \n",
+       "              beta_[hispan]    2136.087   61.713  2032.252  2262.126   \n",
+       "              beta_[white]     1518.493   46.967  1437.026  1609.413   \n",
+       "              beta_[married]   2134.947   41.064  2059.841  2215.577   \n",
+       "              beta_[nodegree]  -130.579   50.495  -226.073   -36.906   \n",
+       "              alpha_outcome   -2000.090  144.644 -2259.261 -1721.027   \n",
+       "\n",
+       "                               mcse_mean  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
+       "1-stage-model alpha_trt            0.002    0.002    3330.0    2698.0    1.0  \n",
+       "              beta_[treat]         0.860    0.608    3040.0    3062.0    1.0  \n",
+       "              beta_[age]           0.033    0.024    3329.0    2843.0    1.0  \n",
+       "              beta_[educ]          0.214    0.151    1840.0    2486.0    1.0  \n",
+       "              beta_[hispan]        1.063    0.752    3308.0    3127.0    1.0  \n",
+       "              beta_[white]         0.894    0.632    2753.0    2722.0    1.0  \n",
+       "              beta_[married]       0.703    0.497    3310.0    2565.0    1.0  \n",
+       "              beta_[nodegree]      1.108    0.792    2021.0    2664.0    1.0  \n",
+       "              beta_ps              0.015    0.016    4589.0    2672.0    1.0  \n",
+       "              alpha_outcome        3.485    2.465    1674.0    2349.0    1.0  \n",
+       "2-stage-model beta_[treat]         0.701    0.496    4614.0    3288.0    1.0  \n",
+       "              beta_[age]           0.028    0.020    4690.0    2976.0    1.0  \n",
+       "              beta_[educ]          0.191    0.135    2411.0    2964.0    1.0  \n",
+       "              beta_[hispan]        0.892    0.631    4827.0    2604.0    1.0  \n",
+       "              beta_[white]         0.739    0.523    4050.0    2945.0    1.0  \n",
+       "              beta_[married]       0.508    0.359    6524.0    2973.0    1.0  \n",
+       "              beta_[nodegree]      0.975    0.689    2686.0    2933.0    1.0  \n",
+       "              alpha_outcome        3.081    2.182    2206.0    2622.0    1.0  "
       ]
      },
-     "execution_count": 366,
+     "execution_count": 416,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "import statsmodels.formula.api as smf\n",
-    "\n",
-    "res = smf.ols(\n",
-    "    \"re78 ~ treat + age + educ + hispan + white + married + nodegree\", lalonde\n",
-    ").fit()\n",
-    "res.summary()"
+    "compare_estimate = pd.concat(\n",
+    "    {\n",
+    "        \"1-stage-model\": az.summary(\n",
+    "            idata_lalonde, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "        \"2-stage-model\": az.summary(\n",
+    "            idata_outcome_2s_lalonde, var_names=[\"beta_\", \"alpha_outcome\"]\n",
+    "        ),\n",
+    "    }\n",
+    ")\n",
+    "compare_estimate"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Both estimates of the treatment effects accord well with values in the literature. We can be happy that both models are picking up on the structure of the conditional treatment effect well. "
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## NHEFS "
+    "## NHEFS \n",
+    "\n",
+    "Finally we turn to the NHEFS data. This data is known to be have a complex covariate profile for measuring aspects smokers health. We might suspect that there is some unmeasured confounding in this data set that would be hard to pick up on with simple regression controls. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 367,
+   "execution_count": 420,
    "metadata": {},
    "outputs": [
     {
@@ -5308,7 +4179,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 367,
+     "execution_count": 420,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5320,7 +4191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 368,
+   "execution_count": 421,
    "metadata": {},
    "outputs": [
     {
@@ -5340,7 +4211,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c4aeb45827bb4767a1af5dd437a7c4be",
+       "model_id": "a19663b7825b458d9ad8bf0dc144565c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5373,7 +4244,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 9 seconds.\n",
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 10 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -5388,7 +4259,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a89dde6587294db084515ee2ab26add2",
+       "model_id": "7c4369412193442f901047c466f7be53",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5422,11 +4293,11 @@
      "output_type": "stream",
      "text": [
       "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
+      "Sampling: [alpha_outcome, beta_ps_spline, beta_std, like, sigma]\n",
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps_spline, beta_ps, alpha_outcome, sigma]\n",
+      "NUTS: [beta_std, beta_ps_spline, alpha_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
       "  self.pid = os.fork()\n"
      ]
@@ -5434,7 +4305,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3897b452dc2a4b54a3ca471c18ad807b",
+       "model_id": "b32ebedbfa8b47bba296d89fb3995463",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5467,7 +4338,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 18 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 17 seconds.\n"
      ]
     }
    ],
@@ -5560,7 +4431,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 369,
+   "execution_count": 424,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = az.plot_forest(\n",
+    "    [idata_outcome_2s_nhefs, idata_nhefs],\n",
+    "    var_names=[\"beta_\"],\n",
+    "    model_names=[\"2 Stage\", \"1 Stage\"],\n",
+    "    combined=True,\n",
+    "    figsize=(10, 4),\n",
+    ")\n",
+    "\n",
+    "ax[0].axvline(3.4, label=\"True Treatment Value\", color=\"k\")\n",
+    "ax[0].set_title(\"Comparing Joint and 2 Stage Propensity Score Parameter Fits\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here we see the model specifications start to come apart. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 423,
    "metadata": {},
    "outputs": [
     {
@@ -5602,373 +4509,361 @@
        "      <th>alpha_trt</th>\n",
        "      <td>-1.118</td>\n",
        "      <td>0.061</td>\n",
-       "      <td>-1.238</td>\n",
-       "      <td>-1.012</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>-1.230</td>\n",
+       "      <td>-0.999</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>7382.0</td>\n",
-       "      <td>2835.0</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>7704.0</td>\n",
+       "      <td>2887.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.941</td>\n",
-       "      <td>0.402</td>\n",
-       "      <td>2.191</td>\n",
-       "      <td>3.693</td>\n",
+       "      <td>2.945</td>\n",
+       "      <td>0.390</td>\n",
+       "      <td>2.243</td>\n",
+       "      <td>3.702</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>7425.0</td>\n",
-       "      <td>3194.0</td>\n",
+       "      <td>7047.0</td>\n",
+       "      <td>2953.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.231</td>\n",
-       "      <td>0.339</td>\n",
-       "      <td>-2.871</td>\n",
-       "      <td>-1.582</td>\n",
+       "      <td>-2.232</td>\n",
+       "      <td>0.344</td>\n",
+       "      <td>-2.853</td>\n",
+       "      <td>-1.581</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5097.0</td>\n",
-       "      <td>2938.0</td>\n",
+       "      <td>5378.0</td>\n",
+       "      <td>2602.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.314</td>\n",
-       "      <td>0.191</td>\n",
-       "      <td>-0.072</td>\n",
-       "      <td>0.657</td>\n",
+       "      <td>0.313</td>\n",
+       "      <td>0.194</td>\n",
+       "      <td>-0.058</td>\n",
+       "      <td>0.664</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6105.0</td>\n",
-       "      <td>3110.0</td>\n",
+       "      <td>7233.0</td>\n",
+       "      <td>3615.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.569</td>\n",
-       "      <td>0.334</td>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>1.212</td>\n",
+       "      <td>0.572</td>\n",
+       "      <td>0.345</td>\n",
+       "      <td>-0.066</td>\n",
+       "      <td>1.209</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>4988.0</td>\n",
-       "      <td>2986.0</td>\n",
+       "      <td>5823.0</td>\n",
+       "      <td>2955.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.173</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-1.539</td>\n",
-       "      <td>-0.816</td>\n",
+       "      <td>-1.172</td>\n",
+       "      <td>0.189</td>\n",
+       "      <td>-1.524</td>\n",
+       "      <td>-0.815</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6280.0</td>\n",
+       "      <td>6733.0</td>\n",
        "      <td>3029.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.607</td>\n",
-       "      <td>0.201</td>\n",
-       "      <td>-0.968</td>\n",
-       "      <td>-0.212</td>\n",
+       "      <td>-0.605</td>\n",
+       "      <td>0.196</td>\n",
+       "      <td>-0.964</td>\n",
+       "      <td>-0.220</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6907.0</td>\n",
-       "      <td>3303.0</td>\n",
+       "      <td>6707.0</td>\n",
+       "      <td>3428.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.157</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-0.510</td>\n",
-       "      <td>0.215</td>\n",
+       "      <td>-0.160</td>\n",
+       "      <td>0.190</td>\n",
+       "      <td>-0.512</td>\n",
+       "      <td>0.203</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>6597.0</td>\n",
-       "      <td>3242.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6797.0</td>\n",
+       "      <td>2967.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
        "      <td>0.285</td>\n",
-       "      <td>0.237</td>\n",
-       "      <td>-0.147</td>\n",
-       "      <td>0.739</td>\n",
+       "      <td>0.236</td>\n",
+       "      <td>-0.158</td>\n",
+       "      <td>0.716</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5257.0</td>\n",
-       "      <td>3193.0</td>\n",
+       "      <td>5452.0</td>\n",
+       "      <td>3438.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.251</td>\n",
-       "      <td>0.253</td>\n",
-       "      <td>-0.212</td>\n",
-       "      <td>0.738</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>0.246</td>\n",
+       "      <td>0.249</td>\n",
+       "      <td>-0.215</td>\n",
+       "      <td>0.714</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5047.0</td>\n",
-       "      <td>3269.0</td>\n",
+       "      <td>5324.0</td>\n",
+       "      <td>3589.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.305</td>\n",
-       "      <td>0.213</td>\n",
-       "      <td>-0.076</td>\n",
-       "      <td>0.709</td>\n",
+       "      <td>0.301</td>\n",
+       "      <td>0.208</td>\n",
+       "      <td>-0.081</td>\n",
+       "      <td>0.697</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5763.0</td>\n",
-       "      <td>3576.0</td>\n",
+       "      <td>5151.0</td>\n",
+       "      <td>3304.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.050</td>\n",
-       "      <td>0.225</td>\n",
-       "      <td>-0.451</td>\n",
-       "      <td>0.388</td>\n",
+       "      <td>-0.047</td>\n",
+       "      <td>0.218</td>\n",
+       "      <td>-0.427</td>\n",
+       "      <td>0.387</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4707.0</td>\n",
-       "      <td>2787.0</td>\n",
+       "      <td>5217.0</td>\n",
+       "      <td>3415.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.110</td>\n",
-       "      <td>0.257</td>\n",
-       "      <td>-0.372</td>\n",
-       "      <td>0.568</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5283.0</td>\n",
-       "      <td>3546.0</td>\n",
+       "      <td>0.108</td>\n",
+       "      <td>0.244</td>\n",
+       "      <td>-0.348</td>\n",
+       "      <td>0.551</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5949.0</td>\n",
+       "      <td>3507.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.095</td>\n",
-       "      <td>0.257</td>\n",
+       "      <td>0.094</td>\n",
+       "      <td>0.248</td>\n",
        "      <td>-0.371</td>\n",
-       "      <td>0.574</td>\n",
+       "      <td>0.563</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5890.0</td>\n",
-       "      <td>3071.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>6351.0</td>\n",
+       "      <td>3078.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.040</td>\n",
-       "      <td>0.955</td>\n",
-       "      <td>-1.812</td>\n",
-       "      <td>1.726</td>\n",
+       "      <td>-0.045</td>\n",
+       "      <td>0.951</td>\n",
+       "      <td>-1.810</td>\n",
+       "      <td>1.729</td>\n",
        "      <td>0.013</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>5185.0</td>\n",
-       "      <td>2959.0</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>5375.0</td>\n",
+       "      <td>3389.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.826</td>\n",
-       "      <td>0.318</td>\n",
-       "      <td>1.246</td>\n",
-       "      <td>2.428</td>\n",
+       "      <td>1.830</td>\n",
+       "      <td>0.313</td>\n",
+       "      <td>1.235</td>\n",
+       "      <td>2.410</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5246.0</td>\n",
-       "      <td>2758.0</td>\n",
+       "      <td>5564.0</td>\n",
+       "      <td>3178.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"15\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"14\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>3.468</td>\n",
+       "      <td>3.488</td>\n",
        "      <td>0.432</td>\n",
-       "      <td>2.665</td>\n",
-       "      <td>4.266</td>\n",
-       "      <td>0.005</td>\n",
+       "      <td>2.666</td>\n",
+       "      <td>4.304</td>\n",
+       "      <td>0.006</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>7926.0</td>\n",
-       "      <td>2936.0</td>\n",
+       "      <td>5879.0</td>\n",
+       "      <td>2724.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.604</td>\n",
-       "      <td>0.437</td>\n",
-       "      <td>-3.448</td>\n",
-       "      <td>-1.814</td>\n",
+       "      <td>-2.670</td>\n",
+       "      <td>0.387</td>\n",
+       "      <td>-3.391</td>\n",
+       "      <td>-1.919</td>\n",
        "      <td>0.006</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5429.0</td>\n",
-       "      <td>3436.0</td>\n",
+       "      <td>4912.0</td>\n",
+       "      <td>2815.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.346</td>\n",
-       "      <td>0.202</td>\n",
-       "      <td>-0.048</td>\n",
-       "      <td>0.711</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>0.321</td>\n",
+       "      <td>0.221</td>\n",
+       "      <td>-0.087</td>\n",
+       "      <td>0.735</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6578.0</td>\n",
-       "      <td>3094.0</td>\n",
+       "      <td>4486.0</td>\n",
+       "      <td>2935.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.891</td>\n",
-       "      <td>0.412</td>\n",
-       "      <td>0.077</td>\n",
-       "      <td>1.607</td>\n",
-       "      <td>0.005</td>\n",
+       "      <td>0.966</td>\n",
+       "      <td>0.377</td>\n",
+       "      <td>0.259</td>\n",
+       "      <td>1.662</td>\n",
+       "      <td>0.006</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5749.0</td>\n",
-       "      <td>3252.0</td>\n",
+       "      <td>4614.0</td>\n",
+       "      <td>2786.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.249</td>\n",
-       "      <td>0.210</td>\n",
-       "      <td>-1.627</td>\n",
-       "      <td>-0.857</td>\n",
+       "      <td>-1.234</td>\n",
+       "      <td>0.199</td>\n",
+       "      <td>-1.617</td>\n",
+       "      <td>-0.859</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5881.0</td>\n",
-       "      <td>2984.0</td>\n",
+       "      <td>5724.0</td>\n",
+       "      <td>3343.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.631</td>\n",
-       "      <td>0.208</td>\n",
+       "      <td>-0.618</td>\n",
+       "      <td>0.206</td>\n",
        "      <td>-1.018</td>\n",
-       "      <td>-0.243</td>\n",
+       "      <td>-0.246</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5045.0</td>\n",
-       "      <td>3349.0</td>\n",
+       "      <td>5299.0</td>\n",
+       "      <td>3190.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.162</td>\n",
-       "      <td>0.198</td>\n",
-       "      <td>-0.547</td>\n",
-       "      <td>0.189</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6624.0</td>\n",
-       "      <td>3298.0</td>\n",
+       "      <td>-0.157</td>\n",
+       "      <td>0.203</td>\n",
+       "      <td>-0.532</td>\n",
+       "      <td>0.222</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5606.0</td>\n",
+       "      <td>3137.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.344</td>\n",
+       "      <td>0.319</td>\n",
        "      <td>0.245</td>\n",
-       "      <td>-0.099</td>\n",
-       "      <td>0.815</td>\n",
+       "      <td>-0.147</td>\n",
+       "      <td>0.766</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4860.0</td>\n",
-       "      <td>3286.0</td>\n",
+       "      <td>4058.0</td>\n",
+       "      <td>3251.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.254</td>\n",
-       "      <td>0.263</td>\n",
-       "      <td>-0.231</td>\n",
-       "      <td>0.739</td>\n",
+       "      <td>0.257</td>\n",
+       "      <td>0.267</td>\n",
+       "      <td>-0.220</td>\n",
+       "      <td>0.768</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5068.0</td>\n",
-       "      <td>3520.0</td>\n",
+       "      <td>4294.0</td>\n",
+       "      <td>2782.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.324</td>\n",
-       "      <td>0.216</td>\n",
-       "      <td>-0.093</td>\n",
-       "      <td>0.702</td>\n",
+       "      <td>0.319</td>\n",
+       "      <td>0.217</td>\n",
+       "      <td>-0.096</td>\n",
+       "      <td>0.714</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>5517.0</td>\n",
-       "      <td>3604.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4550.0</td>\n",
+       "      <td>3197.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.023</td>\n",
-       "      <td>0.236</td>\n",
-       "      <td>-0.433</td>\n",
-       "      <td>0.458</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5213.0</td>\n",
-       "      <td>3280.0</td>\n",
+       "      <td>0.054</td>\n",
+       "      <td>0.255</td>\n",
+       "      <td>-0.430</td>\n",
+       "      <td>0.515</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3930.0</td>\n",
+       "      <td>3390.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.059</td>\n",
-       "      <td>0.276</td>\n",
-       "      <td>-0.441</td>\n",
-       "      <td>0.591</td>\n",
+       "      <td>0.109</td>\n",
+       "      <td>0.264</td>\n",
+       "      <td>-0.420</td>\n",
+       "      <td>0.580</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5320.0</td>\n",
-       "      <td>3215.0</td>\n",
+       "      <td>4941.0</td>\n",
+       "      <td>2971.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.070</td>\n",
-       "      <td>0.278</td>\n",
-       "      <td>-0.431</td>\n",
-       "      <td>0.617</td>\n",
+       "      <td>0.116</td>\n",
+       "      <td>0.269</td>\n",
+       "      <td>-0.383</td>\n",
+       "      <td>0.625</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5566.0</td>\n",
-       "      <td>3493.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>0.002</td>\n",
-       "      <td>1.008</td>\n",
-       "      <td>-1.840</td>\n",
-       "      <td>1.863</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>7260.0</td>\n",
-       "      <td>3011.0</td>\n",
+       "      <td>4939.0</td>\n",
+       "      <td>2725.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.534</td>\n",
-       "      <td>0.368</td>\n",
-       "      <td>0.850</td>\n",
-       "      <td>2.224</td>\n",
-       "      <td>0.005</td>\n",
+       "      <td>1.577</td>\n",
+       "      <td>0.354</td>\n",
+       "      <td>0.958</td>\n",
+       "      <td>2.302</td>\n",
+       "      <td>0.006</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5166.0</td>\n",
-       "      <td>3167.0</td>\n",
+       "      <td>3957.0</td>\n",
+       "      <td>2884.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -5977,73 +4872,71 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt             -1.118  0.061  -1.238   -1.012      0.001   \n",
-       "              beta_[trt]             2.941  0.402   2.191    3.693      0.005   \n",
-       "              beta_[age]            -2.231  0.339  -2.871   -1.582      0.005   \n",
-       "              beta_[smokeintensity]  0.314  0.191  -0.072    0.657      0.002   \n",
-       "              beta_[smokeyrs]        0.569  0.334  -0.047    1.212      0.005   \n",
-       "              beta_[wt71]           -1.173  0.195  -1.539   -0.816      0.002   \n",
-       "              beta_[active_1]       -0.607  0.201  -0.968   -0.212      0.002   \n",
-       "              beta_[active_2]       -0.157  0.195  -0.510    0.215      0.002   \n",
-       "              beta_[education_2]     0.285  0.237  -0.147    0.739      0.003   \n",
-       "              beta_[education_3]     0.251  0.253  -0.212    0.738      0.004   \n",
-       "              beta_[education_4]     0.305  0.213  -0.076    0.709      0.003   \n",
-       "              beta_[education_5]    -0.050  0.225  -0.451    0.388      0.003   \n",
-       "              beta_[exercise_1]      0.110  0.257  -0.372    0.568      0.004   \n",
-       "              beta_[exercise_2]      0.095  0.257  -0.371    0.574      0.003   \n",
-       "              beta_ps               -0.040  0.955  -1.812    1.726      0.013   \n",
-       "              alpha_outcome          1.826  0.318   1.246    2.428      0.004   \n",
-       "2-stage-model beta_[trt]             3.468  0.432   2.665    4.266      0.005   \n",
-       "              beta_[age]            -2.604  0.437  -3.448   -1.814      0.006   \n",
-       "              beta_[smokeintensity]  0.346  0.202  -0.048    0.711      0.002   \n",
-       "              beta_[smokeyrs]        0.891  0.412   0.077    1.607      0.005   \n",
-       "              beta_[wt71]           -1.249  0.210  -1.627   -0.857      0.003   \n",
-       "              beta_[active_1]       -0.631  0.208  -1.018   -0.243      0.003   \n",
-       "              beta_[active_2]       -0.162  0.198  -0.547    0.189      0.002   \n",
-       "              beta_[education_2]     0.344  0.245  -0.099    0.815      0.004   \n",
-       "              beta_[education_3]     0.254  0.263  -0.231    0.739      0.004   \n",
-       "              beta_[education_4]     0.324  0.216  -0.093    0.702      0.003   \n",
-       "              beta_[education_5]    -0.023  0.236  -0.433    0.458      0.003   \n",
-       "              beta_[exercise_1]      0.059  0.276  -0.441    0.591      0.004   \n",
-       "              beta_[exercise_2]      0.070  0.278  -0.431    0.617      0.004   \n",
-       "              beta_ps                0.002  1.008  -1.840    1.863      0.012   \n",
-       "              alpha_outcome          1.534  0.368   0.850    2.224      0.005   \n",
+       "1-stage-model alpha_trt             -1.118  0.061  -1.230   -0.999      0.001   \n",
+       "              beta_[trt]             2.945  0.390   2.243    3.702      0.005   \n",
+       "              beta_[age]            -2.232  0.344  -2.853   -1.581      0.005   \n",
+       "              beta_[smokeintensity]  0.313  0.194  -0.058    0.664      0.002   \n",
+       "              beta_[smokeyrs]        0.572  0.345  -0.066    1.209      0.005   \n",
+       "              beta_[wt71]           -1.172  0.189  -1.524   -0.815      0.002   \n",
+       "              beta_[active_1]       -0.605  0.196  -0.964   -0.220      0.002   \n",
+       "              beta_[active_2]       -0.160  0.190  -0.512    0.203      0.002   \n",
+       "              beta_[education_2]     0.285  0.236  -0.158    0.716      0.003   \n",
+       "              beta_[education_3]     0.246  0.249  -0.215    0.714      0.003   \n",
+       "              beta_[education_4]     0.301  0.208  -0.081    0.697      0.003   \n",
+       "              beta_[education_5]    -0.047  0.218  -0.427    0.387      0.003   \n",
+       "              beta_[exercise_1]      0.108  0.244  -0.348    0.551      0.003   \n",
+       "              beta_[exercise_2]      0.094  0.248  -0.371    0.563      0.003   \n",
+       "              beta_ps               -0.045  0.951  -1.810    1.729      0.013   \n",
+       "              alpha_outcome          1.830  0.313   1.235    2.410      0.004   \n",
+       "2-stage-model beta_[trt]             3.488  0.432   2.666    4.304      0.006   \n",
+       "              beta_[age]            -2.670  0.387  -3.391   -1.919      0.006   \n",
+       "              beta_[smokeintensity]  0.321  0.221  -0.087    0.735      0.003   \n",
+       "              beta_[smokeyrs]        0.966  0.377   0.259    1.662      0.006   \n",
+       "              beta_[wt71]           -1.234  0.199  -1.617   -0.859      0.003   \n",
+       "              beta_[active_1]       -0.618  0.206  -1.018   -0.246      0.003   \n",
+       "              beta_[active_2]       -0.157  0.203  -0.532    0.222      0.003   \n",
+       "              beta_[education_2]     0.319  0.245  -0.147    0.766      0.004   \n",
+       "              beta_[education_3]     0.257  0.267  -0.220    0.768      0.004   \n",
+       "              beta_[education_4]     0.319  0.217  -0.096    0.714      0.003   \n",
+       "              beta_[education_5]     0.054  0.255  -0.430    0.515      0.004   \n",
+       "              beta_[exercise_1]      0.109  0.264  -0.420    0.580      0.004   \n",
+       "              beta_[exercise_2]      0.116  0.269  -0.383    0.625      0.004   \n",
+       "              alpha_outcome          1.577  0.354   0.958    2.302      0.006   \n",
        "\n",
        "                                     mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt                0.001    7382.0    2835.0    1.0  \n",
-       "              beta_[trt]               0.003    7425.0    3194.0    1.0  \n",
-       "              beta_[age]               0.003    5097.0    2938.0    1.0  \n",
-       "              beta_[smokeintensity]    0.002    6105.0    3110.0    1.0  \n",
-       "              beta_[smokeyrs]          0.004    4988.0    2986.0    1.0  \n",
-       "              beta_[wt71]              0.002    6280.0    3029.0    1.0  \n",
-       "              beta_[active_1]          0.002    6907.0    3303.0    1.0  \n",
-       "              beta_[active_2]          0.003    6597.0    3242.0    1.0  \n",
-       "              beta_[education_2]       0.003    5257.0    3193.0    1.0  \n",
-       "              beta_[education_3]       0.003    5047.0    3269.0    1.0  \n",
-       "              beta_[education_4]       0.002    5763.0    3576.0    1.0  \n",
-       "              beta_[education_5]       0.003    4707.0    2787.0    1.0  \n",
-       "              beta_[exercise_1]        0.004    5283.0    3546.0    1.0  \n",
-       "              beta_[exercise_2]        0.004    5890.0    3071.0    1.0  \n",
-       "              beta_ps                  0.015    5185.0    2959.0    1.0  \n",
-       "              alpha_outcome            0.003    5246.0    2758.0    1.0  \n",
-       "2-stage-model beta_[trt]               0.004    7926.0    2936.0    1.0  \n",
-       "              beta_[age]               0.004    5429.0    3436.0    1.0  \n",
-       "              beta_[smokeintensity]    0.002    6578.0    3094.0    1.0  \n",
-       "              beta_[smokeyrs]          0.004    5749.0    3252.0    1.0  \n",
-       "              beta_[wt71]              0.002    5881.0    2984.0    1.0  \n",
-       "              beta_[active_1]          0.002    5045.0    3349.0    1.0  \n",
-       "              beta_[active_2]          0.002    6624.0    3298.0    1.0  \n",
-       "              beta_[education_2]       0.003    4860.0    3286.0    1.0  \n",
-       "              beta_[education_3]       0.003    5068.0    3520.0    1.0  \n",
-       "              beta_[education_4]       0.002    5517.0    3604.0    1.0  \n",
-       "              beta_[education_5]       0.003    5213.0    3280.0    1.0  \n",
-       "              beta_[exercise_1]        0.004    5320.0    3215.0    1.0  \n",
-       "              beta_[exercise_2]        0.004    5566.0    3493.0    1.0  \n",
-       "              beta_ps                  0.017    7260.0    3011.0    1.0  \n",
-       "              alpha_outcome            0.004    5166.0    3167.0    1.0  "
+       "1-stage-model alpha_trt                0.000    7704.0    2887.0    1.0  \n",
+       "              beta_[trt]               0.003    7047.0    2953.0    1.0  \n",
+       "              beta_[age]               0.003    5378.0    2602.0    1.0  \n",
+       "              beta_[smokeintensity]    0.002    7233.0    3615.0    1.0  \n",
+       "              beta_[smokeyrs]          0.004    5823.0    2955.0    1.0  \n",
+       "              beta_[wt71]              0.002    6733.0    3029.0    1.0  \n",
+       "              beta_[active_1]          0.002    6707.0    3428.0    1.0  \n",
+       "              beta_[active_2]          0.002    6797.0    2967.0    1.0  \n",
+       "              beta_[education_2]       0.003    5452.0    3438.0    1.0  \n",
+       "              beta_[education_3]       0.003    5324.0    3589.0    1.0  \n",
+       "              beta_[education_4]       0.002    5151.0    3304.0    1.0  \n",
+       "              beta_[education_5]       0.003    5217.0    3415.0    1.0  \n",
+       "              beta_[exercise_1]        0.003    5949.0    3507.0    1.0  \n",
+       "              beta_[exercise_2]        0.003    6351.0    3078.0    1.0  \n",
+       "              beta_ps                  0.014    5375.0    3389.0    1.0  \n",
+       "              alpha_outcome            0.003    5564.0    3178.0    1.0  \n",
+       "2-stage-model beta_[trt]               0.004    5879.0    2724.0    1.0  \n",
+       "              beta_[age]               0.004    4912.0    2815.0    1.0  \n",
+       "              beta_[smokeintensity]    0.002    4486.0    2935.0    1.0  \n",
+       "              beta_[smokeyrs]          0.004    4614.0    2786.0    1.0  \n",
+       "              beta_[wt71]              0.002    5724.0    3343.0    1.0  \n",
+       "              beta_[active_1]          0.002    5299.0    3190.0    1.0  \n",
+       "              beta_[active_2]          0.003    5606.0    3137.0    1.0  \n",
+       "              beta_[education_2]       0.003    4058.0    3251.0    1.0  \n",
+       "              beta_[education_3]       0.003    4294.0    2782.0    1.0  \n",
+       "              beta_[education_4]       0.003    4550.0    3197.0    1.0  \n",
+       "              beta_[education_5]       0.004    3930.0    3390.0    1.0  \n",
+       "              beta_[exercise_1]        0.004    4941.0    2971.0    1.0  \n",
+       "              beta_[exercise_2]        0.004    4939.0    2725.0    1.0  \n",
+       "              alpha_outcome            0.004    3957.0    2884.0    1.0  "
       ]
      },
-     "execution_count": 369,
+     "execution_count": 423,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6055,12 +4948,21 @@
     "            idata_nhefs, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
     "        ),\n",
     "        \"2-stage-model\": az.summary(\n",
-    "            idata_outcome_2s_nhefs, var_names=[\"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "            idata_outcome_2s_nhefs, var_names=[\"beta_\", \"alpha_outcome\"]\n",
     "        ),\n",
     "    }\n",
     ")\n",
     "compare_estimate"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### The Problem of Feedback\n",
+    "\n",
+    "The issue here is sometimes called Bayesian feedback or \"collider bias via the likelihood\", and it's a key issue when trying to build joint models for causal inference in the Bayesian paradigm. Because we fit the outcome and the treatment models simultaneously, and this means that the outcome can influence the posterior distribution of the parameters $\\beta$ in the treatment model and it violates the idea of design-before-analysis. We have here an apparent example of a slight bias due to this effect. The two stage modular approach seems to better recover the treatment effect reported in the literature and avoids the risk of collider bias. \n"
+   ]
   }
  ],
  "metadata": {
diff --git a/docs/source/references.bib b/docs/source/references.bib
index 5f1c4dc1..181a6777 100644
--- a/docs/source/references.bib
+++ b/docs/source/references.bib
@@ -148,6 +148,14 @@ @article{kropko2018two
   year={2018}
 }
 
+@article{liBayesianProp,
+  title={Bayesian Causal Inference: A Critical Review},
+  author={Fan, Li and Peng, Ding and Fabrizia, Mealli},
+  journal={Philosophical Transactions of the Royal Society},
+  volume={381},
+  year={2023}
+}
+
 @article{collischon2020let,
   title={Let's talk about fixed effects: Let's talk about all the good things and the bad things},
   author={Collischon, Matthias and Eberl, Andreas},

From 0fd40cc337dde0884a4093203409a12dfbc9a05c Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Wed, 9 Jul 2025 22:58:30 +0100
Subject: [PATCH 09/31] tidying spellings

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 439d1f98..bf17b592 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -25,7 +25,7 @@
     "\n",
     "These properties give the propensity score a large role to play in _design based_ approaches to causal inference. The focus is on assessing aspects of the treatment allocation to ensure we have identifiability assurances for estimands of interest. \n",
     "\n",
-    "When we use `cp.InversePropensityWeighting` to apply various re-weighting techniques we perform a two-step manuever: (1) we estimate the propensity score and (2) apply the inverse-weighting of the score to transform our outcome variable and assess causal contrasts. But being good Bayesians, we might wonder why go to all this trouble? Can we not simple estimate a full-bayesian model of treatment and outcome simultaneously?\n",
+    "When we use `cp.InversePropensityWeighting` to apply various re-weighting techniques we perform a two-step  manoeuvre: (1) we estimate the propensity score and (2) apply the inverse-weighting of the score to transform our outcome variable and assess causal contrasts. But being good Bayesians, we might wonder why go to all this trouble? Can we not simple estimate a full-bayesian model of treatment and outcome simultaneously?\n",
     "\n",
     "In this notebook we'll show why we should be careful attempting to model the joint-distribution of the propensity score and the outcome variable, but still make good use of the propensity score. \n",
     "\n",
@@ -605,7 +605,7 @@
    "source": [
     "### Specifying the 2 Stage Model\n",
     "\n",
-    "Here we allow for a function that takes the same inputs but fits two seperate models. First we fit the treatment model then store the `idata_treatment` this xarray object stores the posterior estimates for the propensity score. We pass this through to a second outcome model where we proceed to take a random draw from the posterior and pass it through to the outcome regression via a spline component. This allows us to express any non-linearity in the treatment effect. Additionally it can be seen as a way to augment the outcome model.\n",
+    "Here we allow for a function that takes the same inputs but fits two separate models. First we fit the treatment model then store the `idata_treatment` this xarray object stores the posterior estimates for the propensity score. We pass this through to a second outcome model where we proceed to take a random draw from the posterior and pass it through to the outcome regression via a spline component. This allows us to express any non-linearity in the treatment effect. Additionally it can be seen as a way to augment the outcome model.\n",
     "\n",
     "While theoretically the propensity score contains no extra information if we are already conditioning on $X$, practically the literature reports that the propensity improves the stability of the causal estimates achievable in Bayesian causal modelling. "
    ]
@@ -3314,7 +3314,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Here again we see broad consistency between both model specifcations indicating that the regression adjustment approach in the 2 stage outcome model is appropriate and picks up on all relevant sources of confounding. "
+    "Here again we see broad consistency between both model specifications indicating that the regression adjustment approach in the 2 stage outcome model is appropriate and picks up on all relevant sources of confounding. "
    ]
   },
   {

From e9df0d58c260922da5891507969932bab2b3575f Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Thu, 10 Jul 2025 15:04:02 +0100
Subject: [PATCH 10/31] improving the simulation study

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 .../inverse_propensity_weighting.py           |    3 +
 causalpy/pymc_models.py                       |   87 +-
 docs/source/_static/interrogate_badge.svg     |    6 +-
 docs/source/notebooks/inv_prop_latent.ipynb   | 3475 ++++++++++-------
 4 files changed, 2257 insertions(+), 1314 deletions(-)

diff --git a/causalpy/experiments/inverse_propensity_weighting.py b/causalpy/experiments/inverse_propensity_weighting.py
index 3e2915f7..1a04c070 100644
--- a/causalpy/experiments/inverse_propensity_weighting.py
+++ b/causalpy/experiments/inverse_propensity_weighting.py
@@ -98,6 +98,9 @@ def __init__(
 
         COORDS = {"obs_ind": list(range(self.X.shape[0])), "coeffs": self.labels}
         self.coords = COORDS
+        self.X_outcome = pd.DataFrame(self.X, columns=self.coords["coeffs"])
+        self.X_outcome["trt"] = self.t
+        self.coords["outcome_coeffs"] = self.X_outcome.columns
         self.model.fit(X=self.X, t=self.t, coords=COORDS)
 
     def input_validation(self):
diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index ea380c1a..47645a5a 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -22,6 +22,7 @@
 import pytensor.tensor as pt
 import xarray as xr
 from arviz import r2_score
+from patsy import dmatrix
 
 from causalpy.utils import round_num
 
@@ -473,22 +474,30 @@ class PropensityScore(PyMCModel):
     ...                 'coeffs': ['age', 'race'],
     ...                 'obs_ind': np.arange(df.shape[0])
     ...                },
+    ...                prior={'b': [0, 1]},
     ... )
     Inference...
     """  # noqa: W605
 
-    def build_model(self, X, t, coords):
+    def build_model(self, X, t, coords, prior, noncentred):
         "Defines the PyMC propensity model"
         with self:
             self.add_coords(coords)
             X_data = pm.Data("X", X, dims=["obs_ind", "coeffs"])
             t_data = pm.Data("t", t.flatten(), dims="obs_ind")
-            b = pm.Normal("b", mu=0, sigma=1, dims="coeffs")
+            if noncentred:
+                mu_beta, sigma_beta = prior["b"]
+                beta_std = pm.Normal("beta_std", 0, 1, dims="coeffs")
+                b = pm.Deterministic(
+                    "beta_", mu_beta + sigma_beta * beta_std, dims="coeffs"
+                )
+            else:
+                b = pm.Normal("b", mu=prior["b"][0], sigma=prior["b"][1], dims="coeffs")
             mu = pm.math.dot(X_data, b)
             p = pm.Deterministic("p", pm.math.invlogit(mu))
             pm.Bernoulli("t_pred", p=p, observed=t_data, dims="obs_ind")
 
-    def fit(self, X, t, coords):
+    def fit(self, X, t, coords, prior={"b": [0, 1]}, noncentred=True):
         """Draw samples from posterior, prior predictive, and posterior predictive
         distributions. We overwrite the base method because the base method assumes
         a variable y and we use t to indicate the treatment variable here.
@@ -497,7 +506,7 @@ def fit(self, X, t, coords):
         # sample_posterior_predictive() if provided in sample_kwargs.
         random_seed = self.sample_kwargs.get("random_seed", None)
 
-        self.build_model(X, t, coords)
+        self.build_model(X, t, coords, prior, noncentred)
         with self:
             self.idata = pm.sample(**self.sample_kwargs)
             self.idata.extend(pm.sample_prior_predictive(random_seed=random_seed))
@@ -507,3 +516,73 @@ def fit(self, X, t, coords):
                 )
             )
         return self.idata
+
+    def fit_outcome_model(
+        self,
+        X_outcome,
+        y,
+        coords,
+        priors={"b_outcome": [0, 1], "a_outcome": [0, 1], "sigma": 1},
+        noncentred=True,
+        normal_outcome=True,
+    ):
+        if not hasattr(self, "idata"):
+            raise AttributeError("""Object is missing required attribute 'idata'
+                                 so cannot proceed. Call fit() first""")
+        propensity_scores = az.extract(self.idata)["p"]
+        random_seed = self.sample_kwargs.get("random_seed", None)
+
+        with pm.Model(coords=coords) as model_outcome:
+            X_data_outcome = pm.Data("X_outcome", X_outcome)
+            Y_data_ = pm.Data("Y", y)
+
+            if noncentred:
+                mu_beta, sigma_beta = priors["b_outcome"]
+                beta_std = pm.Normal("beta_std", 0, 1, dims="outcome_coeffs")
+                beta = pm.Deterministic(
+                    "beta_", mu_beta + sigma_beta * beta_std, dims="outcome_coeffs"
+                )
+            else:
+                beta = pm.Normal(
+                    "beta_",
+                    priors["b_outcome"][0],
+                    priors["b_outcome"][1],
+                    dims="outcome_coeffs",
+                )
+
+            beta_ps_spline = pm.Normal("beta_ps_spline", 0, 1, size=34)
+            beta_ps = pm.Normal("beta_ps", 0, 1)
+
+            chosen = np.random.choice(range(propensity_scores.shape[1]))
+            p = propensity_scores[:, chosen].values
+
+            B = dmatrix(
+                "bs(ps, knots=knots, degree=3, include_intercept=True, lower_bound=0, upper_bound=1) - 1",
+                {"ps": p, "knots": np.linspace(0, 1, 30)},
+            )
+            B_f = np.asarray(B, order="F")
+            splines_summed = pm.Deterministic(
+                "spline_features", pm.math.dot(B_f, beta_ps_spline.T)
+            )
+
+            alpha_outcome = pm.Normal(
+                "a_outcome", priors["a_outcome"][0], priors["a_outcome"][1]
+            )
+            mu_outcome = (
+                alpha_outcome
+                + pm.math.dot(X_data_outcome, beta)
+                + p * beta_ps
+                + splines_summed
+            )
+            sigma = pm.HalfNormal("sigma", priors["sigma"])
+
+            if normal_outcome:
+                _ = pm.Normal("like", mu_outcome, sigma, observed=Y_data_)
+            else:
+                nu = pm.Exponential("nu", lam=1 / 30)
+                _ = pm.StudentT("like", nu=nu, mu=mu_outcome, sigma=sigma)
+
+            idata_outcome = pm.sample_prior_predictive(random_seed=random_seed)
+            idata_outcome.extend(pm.sample(**self.sample_kwargs))
+
+        return idata_outcome, model_outcome
diff --git a/docs/source/_static/interrogate_badge.svg b/docs/source/_static/interrogate_badge.svg
index 9975f47a..4a908d60 100644
--- a/docs/source/_static/interrogate_badge.svg
+++ b/docs/source/_static/interrogate_badge.svg
@@ -1,5 +1,5 @@
 <svg width="140" height="20" viewBox="0 0 140 20" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;">
-    <title>interrogate: 94.9%</title>
+    <title>interrogate: 94.5%</title>
     <g transform="matrix(1,0,0,1,22,0)">
         <g id="backgrounds" transform="matrix(1.32789,0,0,1,-22.3892,0)">
             <rect x="0" y="0" width="71" height="20" style="fill:rgb(85,85,85);"/>
@@ -12,8 +12,8 @@
     <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110">
         <text x="590" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="610">interrogate</text>
         <text x="590" y="140" transform="scale(.1)" textLength="610">interrogate</text>
-        <text x="1160" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="370" data-interrogate="result">94.9%</text>
-        <text x="1160" y="140" transform="scale(.1)" textLength="370" data-interrogate="result">94.9%</text>
+        <text x="1160" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="370" data-interrogate="result">94.5%</text>
+        <text x="1160" y="140" transform="scale(.1)" textLength="370" data-interrogate="result">94.5%</text>
     </g>
     <g id="logo-shadow" serif:id="logo shadow" transform="matrix(0.854876,0,0,0.854876,-6.73514,1.732)">
         <g transform="matrix(0.299012,0,0,0.299012,9.70229,-6.68582)">
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index bf17b592..95732742 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,10 @@
     "import pymc as pm\n",
     "from patsy import dmatrix\n",
     "\n",
-    "import causalpy as cp"
+    "import causalpy as cp\n",
+    "\n",
+    "## Setting for Mac OS spawning multi-process defaults on M1 chip\n",
+    "sampler_kwargs = {\"tune\": 2000, \"draws\": 2000, \"target_accept\": 0.95, \"mp_ctx\": \"spawn\"}"
    ]
   },
   {
@@ -74,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -100,6 +103,7 @@
        "      <th></th>\n",
        "      <th>x1</th>\n",
        "      <th>x2</th>\n",
+       "      <th>x3</th>\n",
        "      <th>trt</th>\n",
        "      <th>outcome</th>\n",
        "    </tr>\n",
@@ -107,78 +111,91 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>2.238452</td>\n",
-       "      <td>2.060227</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10.022882</td>\n",
+       "      <td>-0.016308</td>\n",
+       "      <td>-0.439257</td>\n",
+       "      <td>-0.456160</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.015246</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.739961</td>\n",
-       "      <td>0.926924</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4.978688</td>\n",
+       "      <td>0.727746</td>\n",
+       "      <td>-1.099745</td>\n",
+       "      <td>1.480021</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-0.732662</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1.191126</td>\n",
-       "      <td>-0.532201</td>\n",
+       "      <td>0.738903</td>\n",
+       "      <td>-0.698852</td>\n",
+       "      <td>-1.567861</td>\n",
        "      <td>0</td>\n",
-       "      <td>4.805062</td>\n",
+       "      <td>6.228998</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-1.487591</td>\n",
-       "      <td>0.373743</td>\n",
+       "      <td>-0.772407</td>\n",
+       "      <td>-1.777497</td>\n",
+       "      <td>0.260820</td>\n",
        "      <td>0</td>\n",
-       "      <td>1.449932</td>\n",
+       "      <td>0.000351</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>-0.256297</td>\n",
-       "      <td>1.680710</td>\n",
+       "      <td>1.641936</td>\n",
+       "      <td>1.673974</td>\n",
+       "      <td>-0.250408</td>\n",
        "      <td>1</td>\n",
-       "      <td>9.100173</td>\n",
+       "      <td>4.654716</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "         x1        x2  trt    outcome\n",
-       "0  2.238452  2.060227    1  10.022882\n",
-       "1  0.739961  0.926924    0   4.978688\n",
-       "2  1.191126 -0.532201    0   4.805062\n",
-       "3 -1.487591  0.373743    0   1.449932\n",
-       "4 -0.256297  1.680710    1   9.100173"
+       "         x1        x2        x3  trt   outcome\n",
+       "0 -0.016308 -0.439257 -0.456160    0  1.015246\n",
+       "1  0.727746 -1.099745  1.480021    1 -0.732662\n",
+       "2  0.738903 -0.698852 -1.567861    0  6.228998\n",
+       "3 -0.772407 -1.777497  0.260820    0  0.000351\n",
+       "4  1.641936  1.673974 -0.250408    1  4.654716"
       ]
      },
-     "execution_count": 310,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "N = 1000\n",
+    "N = 4000\n",
+    "\n",
+    "\n",
+    "def inv_logit(z):\n",
+    "    \"\"\"Compute the inverse logit (sigmoid) of z.\"\"\"\n",
+    "    return 1 / (1 + np.exp(-z))\n",
     "\n",
     "\n",
     "df1 = pd.DataFrame(\n",
-    "    np.random.multivariate_normal([0.5, 1], [[2, 1], [1, 1]], size=N),\n",
-    "    columns=[\"x1\", \"x2\"],\n",
-    ")\n",
-    "df1[\"trt\"] = np.where(\n",
-    "    -0.5 + 0.25 * df1[\"x1\"] + 0.75 * df1[\"x2\"] + np.random.normal(0, 1, size=N) > 0,\n",
-    "    1,\n",
-    "    0,\n",
+    "    {\n",
+    "        \"x1\": np.random.normal(0, 1, N),\n",
+    "        \"x2\": np.random.normal(0, 1, N),\n",
+    "        \"x3\": np.random.normal(0, 1, N),\n",
+    "    }\n",
     ")\n",
+    "\n",
     "TREATMENT_EFFECT = 2\n",
+    "df1[\"trt\"] = np.random.binomial(1, inv_logit(df1[\"x1\"] + 6 * df1[\"x2\"] + 7 * df1[\"x3\"]))\n",
     "df1[\"outcome\"] = (\n",
-    "    4\n",
+    "    1\n",
     "    + TREATMENT_EFFECT * df1[\"trt\"]\n",
     "    + df1[\"x1\"]\n",
-    "    + df1[\"x2\"]\n",
-    "    + np.random.normal(0, 1, size=N)\n",
+    "    + 0.2 * df1[\"x2\"]\n",
+    "    + -3 * df1[\"x3\"]\n",
+    "    + np.random.normal(0, 1, N)\n",
     ")\n",
+    "\n",
+    "\n",
     "df1.head()"
    ]
   },
@@ -193,14 +210,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 373,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n"
      ]
     },
@@ -210,297 +227,269 @@
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+       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-592.36 874.18,-592.36 874.18,4 -4,4\"/>\n",
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-       "<title>cluster1000 x 2</title>\n",
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-       "<text text-anchor=\"middle\" x=\"46\" y=\"-359.74\" font-family=\"Times,serif\" font-size=\"14.00\">1000 x 2</text>\n",
+       "<title>cluster4000 x 3</title>\n",
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-       "<text text-anchor=\"middle\" x=\"173\" y=\"-359.74\" font-family=\"Times,serif\" font-size=\"14.00\">betas_trt (2)</text>\n",
+       "<title>clusterbetas_trt (3)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M98,-353.13C98,-353.13 202,-353.13 202,-353.13 208,-353.13 214,-359.13 214,-365.13 214,-365.13 214,-568.36 214,-568.36 214,-574.36 208,-580.36 202,-580.36 202,-580.36 98,-580.36 98,-580.36 92,-580.36 86,-574.36 86,-568.36 86,-568.36 86,-365.13 86,-365.13 86,-359.13 92,-353.13 98,-353.13\"/>\n",
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+       "<title>clusterbetas (2)</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M386,-235.23C386,-235.23 468,-235.23 468,-235.23 474,-235.23 480,-241.23 480,-247.23 480,-247.23 480,-451.04 480,-451.04 480,-457.04 474,-463.04 468,-463.04 468,-463.04 386,-463.04 386,-463.04 380,-463.04 374,-457.04 374,-451.04 374,-451.04 374,-247.23 374,-247.23 374,-241.23 380,-235.23 386,-235.23\"/>\n",
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-       "<title>cluster34</title>\n",
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-       "<text text-anchor=\"middle\" x=\"359.25\" y=\"-347.83\" font-family=\"Times,serif\" font-size=\"14.00\">34</text>\n",
+       "<title>cluster2</title>\n",
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        "<title>X</title>\n",
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        "<!-- like -->\n",
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        "<!-- X_outcome&#45;&gt;like -->\n",
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+       "<!-- like&#45;&gt;Y -->\n",
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        "<!-- t_pred -->\n",
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      },
-     "execution_count": 373,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "coords = {\n",
-    "    \"betas\": [\"trt\", \"x1\", \"x2\"],\n",
-    "    \"betas_trt\": [\"x1\", \"x2\"],\n",
+    "    \"betas\": [\"trt\", \"x1\"],\n",
+    "    \"betas_trt\": [\"x1\", \"x2\", \"x3\"],\n",
     "    \"obs\": range(df1.shape[0]),\n",
     "}\n",
     "\n",
     "N = df1.shape[0]\n",
-    "X_trt = df1[[\"x1\", \"x2\"]].values\n",
-    "X_outcome = df1[[\"trt\", \"x1\", \"x2\"]].values\n",
+    "X_trt = df1[[\"x1\", \"x2\", \"x3\"]].values\n",
+    "X_outcome = df1[[\"trt\", \"x1\"]].values\n",
     "T_data = df1[\"trt\"].values\n",
     "Y_data = df1[\"outcome\"].values\n",
     "\n",
@@ -516,6 +505,7 @@
     "        \"beta_trt\": [0, 1],\n",
     "        \"alpha_trt\": [0, 1],\n",
     "        \"alpha_outcome\": [0, 1],\n",
+    "        \"sigma\": 1,\n",
     "    },\n",
     "    noncentred=True,\n",
     "):\n",
@@ -551,8 +541,7 @@
     "                \"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\"\n",
     "            )\n",
     "\n",
-    "        beta_ps_spline = pm.Normal(\"beta_ps_spline\", 0, 1, size=34)\n",
-    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1)\n",
+    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1, size=2)\n",
     "\n",
     "        alpha_trt = pm.Normal(\n",
     "            \"alpha_trt\", priors[\"alpha_trt\"][0], priors[\"alpha_trt\"][1]\n",
@@ -562,25 +551,16 @@
     "\n",
     "        pm.Bernoulli(\"t_pred\", p=p, observed=T_data_)\n",
     "\n",
-    "        B = dmatrix(\n",
-    "            \"bs(ps, knots=knots, degree=3, include_intercept=True) - 1\",\n",
-    "            {\"ps\": np.linspace(0, 1, X_trt.shape[0]), \"knots\": np.linspace(0, 1, 30)},\n",
-    "        )\n",
-    "        B_f = np.asarray(B, order=\"F\")\n",
-    "        splines_summed = pm.Deterministic(\n",
-    "            \"spline_features\", pm.math.dot(B_f, beta_ps_spline.T)\n",
-    "        )\n",
-    "\n",
     "        alpha_outcome = pm.Normal(\n",
     "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
     "        )\n",
     "        mu_outcome = (\n",
     "            alpha_outcome\n",
     "            + pm.math.dot(X_data_outcome, beta)\n",
-    "            + p * splines_summed\n",
-    "            + beta_ps * p\n",
+    "            + beta_ps[0] * p\n",
+    "            + beta_ps[1] * (p * T_data)\n",
     "        )\n",
-    "        sigma = pm.HalfNormal(\"sigma\", 1)\n",
+    "        sigma = pm.HalfNormal(\"sigma\", priors[\"sigma\"])\n",
     "\n",
     "        _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
     "\n",
@@ -612,14 +592,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 375,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n"
      ]
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        "</g>\n",
        "<!-- T -->\n",
-       "<g id=\"node3\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
        "<title>T</title>\n",
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       ],
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+       "<graphviz.graphs.Digraph at 0x14e02b9d0>"
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-     "execution_count": 375,
+     "execution_count": 33,
      "metadata": {},
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@@ -808,8 +788,10 @@
     "        \"beta_trt\": [0, 1],\n",
     "        \"alpha_trt\": [0, 1],\n",
     "        \"alpha_outcome\": [0, 1],\n",
+    "        \"sigma\": 1,\n",
     "    },\n",
     "    noncentred=True,\n",
+    "    spline_component=False,\n",
     "    propensity_score_idata=None,\n",
     "):\n",
     "    propensity_scores = az.extract(propensity_score_idata)[\"p\"]\n",
@@ -828,43 +810,59 @@
     "                \"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\"\n",
     "            )\n",
     "\n",
-    "        beta_ps_spline = pm.Normal(\"beta_ps_spline\", 0, 1, size=34)\n",
+    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1, size=2)\n",
     "\n",
     "        chosen = np.random.choice(range(propensity_scores.shape[1]))\n",
     "        p = propensity_scores[:, chosen].values\n",
     "\n",
-    "        B = dmatrix(\n",
-    "            \"bs(ps, knots=knots, degree=3, include_intercept=True, lower_bound=0, upper_bound=1) - 1\",\n",
-    "            {\"ps\": p, \"knots\": np.linspace(0, 1, 30)},\n",
-    "        )\n",
-    "        B_f = np.asarray(B, order=\"F\")\n",
-    "        splines_summed = pm.Deterministic(\n",
-    "            \"spline_features\", pm.math.dot(B_f, beta_ps_spline.T)\n",
-    "        )\n",
-    "\n",
     "        alpha_outcome = pm.Normal(\n",
     "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
     "        )\n",
-    "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + splines_summed\n",
-    "        sigma = pm.HalfNormal(\"sigma\", 1)\n",
+    "        mu_outcome = (\n",
+    "            alpha_outcome\n",
+    "            + pm.math.dot(X_data_outcome, beta)\n",
+    "            + beta_ps[0] * p\n",
+    "            + beta_ps[1] * (p * T_data)\n",
+    "        )\n",
+    "\n",
+    "        if spline_component:\n",
+    "            beta_ps_spline = pm.Normal(\"beta_ps_spline\", 0, 1, size=34)\n",
+    "            B = dmatrix(\n",
+    "                \"bs(ps, knots=knots, degree=3, include_intercept=True, lower_bound=0, upper_bound=1) - 1\",\n",
+    "                {\"ps\": p, \"knots\": np.linspace(0, 1, 30)},\n",
+    "            )\n",
+    "            B_f = np.asarray(B, order=\"F\")\n",
+    "            splines_summed = pm.Deterministic(\n",
+    "                \"spline_features\", pm.math.dot(B_f, beta_ps_spline.T)\n",
+    "            )\n",
+    "            mu_outcome = mu_outcome + splines_summed\n",
+    "\n",
+    "        sigma = pm.HalfNormal(\"sigma\", priors[\"sigma\"])\n",
     "\n",
     "        _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
     "\n",
     "    return model_outcome\n",
     "\n",
     "\n",
-    "def make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors):\n",
+    "def make_2step_model(\n",
+    "    X_trt, X_outcome, T_data, Y_data, coords, priors, spline_component=False\n",
+    "):\n",
     "    treatment_model = make_treatment_model(X_trt, T_data, coords, priors)\n",
     "    with treatment_model:\n",
     "        idata_treatment = pm.sample_prior_predictive()\n",
-    "        idata_treatment.extend(pm.sample())\n",
+    "        idata_treatment.extend(pm.sample(**sampler_kwargs))\n",
     "\n",
     "    outcome_model = make_outcome_model(\n",
-    "        X_outcome, Y_data, coords, priors, propensity_score_idata=idata_treatment\n",
+    "        X_outcome,\n",
+    "        Y_data,\n",
+    "        coords,\n",
+    "        priors,\n",
+    "        spline_component,\n",
+    "        propensity_score_idata=idata_treatment,\n",
     "    )\n",
     "    with outcome_model:\n",
     "        idata_outcome = pm.sample_prior_predictive()\n",
-    "        idata_outcome.extend(pm.sample())\n",
+    "        idata_outcome.extend(pm.sample(**sampler_kwargs))\n",
     "\n",
     "    return idata_treatment, idata_outcome, treatment_model, outcome_model\n",
     "\n",
@@ -883,45 +881,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 378,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
-      "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, beta_std, beta_ps_spline, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma]\n"
      ]
     },
     {
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-       "model_id": "1a76811217d640cbbf5a51577f56905a",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
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@@ -936,40 +926,32 @@
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      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 44 seconds.\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 90 seconds.\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
-      "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, alpha_trt]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_trt_std, alpha_trt]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8a9d63747b064de0b826cde118089813",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
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      "metadata": {},
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-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -984,38 +966,30 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps_spline, beta_std, like, sigma]\n",
-      "Auto-assigning NUTS sampler...\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 16 seconds.\n",
+      "Sampling: [alpha_outcome, beta_, beta_ps, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps_spline, alpha_outcome, sigma]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_, beta_ps, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "aeea47d4f7a0434689cc95d750a0c346",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -1030,7 +1004,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 6 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 20 seconds.\n"
      ]
     }
    ],
@@ -1040,12 +1014,13 @@
     "    \"beta_trt\": [0, 1],\n",
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [0, 1],\n",
+    "    \"sigma\": 1,\n",
     "}\n",
     "\n",
     "joint_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
     "\n",
     "with joint_model:\n",
-    "    idata_joint = pm.sample(tune=2000, target_accept=0.98)\n",
+    "    idata_joint = pm.sample(**sampler_kwargs)\n",
     "\n",
     "(\n",
     "    idata_treatment_2s_joint,\n",
@@ -1057,12 +1032,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 387,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1086,7 +1061,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 389,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -1126,123 +1101,111 @@
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.840</td>\n",
-       "      <td>0.121</td>\n",
-       "      <td>-1.072</td>\n",
-       "      <td>-0.618</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>2995.0</td>\n",
-       "      <td>2858.0</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.025</td>\n",
+       "      <td>-0.031</td>\n",
+       "      <td>0.063</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>5102.0</td>\n",
+       "      <td>5283.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.965</td>\n",
-       "      <td>0.077</td>\n",
-       "      <td>1.820</td>\n",
-       "      <td>2.104</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>4779.0</td>\n",
-       "      <td>3131.0</td>\n",
+       "      <td>2.694</td>\n",
+       "      <td>0.141</td>\n",
+       "      <td>2.438</td>\n",
+       "      <td>2.964</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3902.0</td>\n",
+       "      <td>4999.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>0.968</td>\n",
-       "      <td>0.041</td>\n",
-       "      <td>0.891</td>\n",
-       "      <td>1.042</td>\n",
+       "      <td>1.152</td>\n",
+       "      <td>0.068</td>\n",
+       "      <td>1.027</td>\n",
+       "      <td>1.281</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>2562.0</td>\n",
-       "      <td>2515.0</td>\n",
+       "      <td>4307.0</td>\n",
+       "      <td>4850.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[x2]</th>\n",
-       "      <td>0.998</td>\n",
-       "      <td>0.097</td>\n",
-       "      <td>0.805</td>\n",
-       "      <td>1.172</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2181.0</td>\n",
-       "      <td>2465.0</td>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>-15.480</td>\n",
+       "      <td>0.304</td>\n",
+       "      <td>-16.069</td>\n",
+       "      <td>-14.938</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3222.0</td>\n",
+       "      <td>4184.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>0.103</td>\n",
-       "      <td>0.444</td>\n",
-       "      <td>-0.710</td>\n",
-       "      <td>0.936</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>1669.0</td>\n",
-       "      <td>2135.0</td>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>-0.594</td>\n",
+       "      <td>0.252</td>\n",
+       "      <td>-1.050</td>\n",
+       "      <td>-0.104</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3888.0</td>\n",
+       "      <td>4759.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4.021</td>\n",
-       "      <td>0.162</td>\n",
-       "      <td>3.724</td>\n",
-       "      <td>4.331</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>8.598</td>\n",
+       "      <td>0.161</td>\n",
+       "      <td>8.287</td>\n",
+       "      <td>8.896</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>1810.0</td>\n",
-       "      <td>1882.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3413.0</td>\n",
+       "      <td>4054.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"3\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.976</td>\n",
-       "      <td>0.078</td>\n",
-       "      <td>1.832</td>\n",
-       "      <td>2.121</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>5828.0</td>\n",
-       "      <td>3089.0</td>\n",
+       "      <td>2.176</td>\n",
+       "      <td>0.282</td>\n",
+       "      <td>1.622</td>\n",
+       "      <td>2.687</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4386.0</td>\n",
+       "      <td>4926.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>0.968</td>\n",
-       "      <td>0.054</td>\n",
-       "      <td>0.871</td>\n",
+       "      <td>1.156</td>\n",
+       "      <td>0.041</td>\n",
        "      <td>1.074</td>\n",
+       "      <td>1.230</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>1995.0</td>\n",
-       "      <td>2302.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[x2]</th>\n",
-       "      <td>1.001</td>\n",
-       "      <td>0.103</td>\n",
-       "      <td>0.810</td>\n",
-       "      <td>1.193</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>1870.0</td>\n",
-       "      <td>2288.0</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>6372.0</td>\n",
+       "      <td>5671.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.951</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>3.570</td>\n",
-       "      <td>4.309</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>1289.0</td>\n",
-       "      <td>1966.0</td>\n",
+       "      <td>3.124</td>\n",
+       "      <td>0.064</td>\n",
+       "      <td>3.000</td>\n",
+       "      <td>3.241</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>5326.0</td>\n",
+       "      <td>5325.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1250,32 +1213,30 @@
        "</div>"
       ],
       "text/plain": [
-       "                              mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt     -0.840  0.121  -1.072   -0.618      0.002   \n",
-       "              beta_[trt]     1.965  0.077   1.820    2.104      0.001   \n",
-       "              beta_[x1]      0.968  0.041   0.891    1.042      0.001   \n",
-       "              beta_[x2]      0.998  0.097   0.805    1.172      0.002   \n",
-       "              beta_ps        0.103  0.444  -0.710    0.936      0.011   \n",
-       "              alpha_outcome  4.021  0.162   3.724    4.331      0.004   \n",
-       "2-stage-model beta_[trt]     1.976  0.078   1.832    2.121      0.001   \n",
-       "              beta_[x1]      0.968  0.054   0.871    1.074      0.001   \n",
-       "              beta_[x2]      1.001  0.103   0.810    1.193      0.002   \n",
-       "              alpha_outcome  3.951  0.200   3.570    4.309      0.006   \n",
+       "                               mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
+       "1-stage-model alpha_trt       0.014  0.025  -0.031    0.063      0.000   \n",
+       "              beta_[trt]      2.694  0.141   2.438    2.964      0.002   \n",
+       "              beta_[x1]       1.152  0.068   1.027    1.281      0.001   \n",
+       "              beta_ps[0]    -15.480  0.304 -16.069  -14.938      0.005   \n",
+       "              beta_ps[1]     -0.594  0.252  -1.050   -0.104      0.004   \n",
+       "              alpha_outcome   8.598  0.161   8.287    8.896      0.003   \n",
+       "2-stage-model beta_[trt]      2.176  0.282   1.622    2.687      0.004   \n",
+       "              beta_[x1]       1.156  0.041   1.074    1.230      0.001   \n",
+       "              alpha_outcome   3.124  0.064   3.000    3.241      0.001   \n",
        "\n",
        "                             mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt        0.002    2995.0    2858.0    1.0  \n",
-       "              beta_[trt]       0.001    4779.0    3131.0    1.0  \n",
-       "              beta_[x1]        0.001    2562.0    2515.0    1.0  \n",
-       "              beta_[x2]        0.001    2181.0    2465.0    1.0  \n",
-       "              beta_ps          0.008    1669.0    2135.0    1.0  \n",
-       "              alpha_outcome    0.003    1810.0    1882.0    1.0  \n",
-       "2-stage-model beta_[trt]       0.001    5828.0    3089.0    1.0  \n",
-       "              beta_[x1]        0.001    1995.0    2302.0    1.0  \n",
-       "              beta_[x2]        0.002    1870.0    2288.0    1.0  \n",
-       "              alpha_outcome    0.004    1289.0    1966.0    1.0  "
+       "1-stage-model alpha_trt        0.000    5102.0    5283.0    1.0  \n",
+       "              beta_[trt]       0.002    3902.0    4999.0    1.0  \n",
+       "              beta_[x1]        0.001    4307.0    4850.0    1.0  \n",
+       "              beta_ps[0]       0.004    3222.0    4184.0    1.0  \n",
+       "              beta_ps[1]       0.003    3888.0    4759.0    1.0  \n",
+       "              alpha_outcome    0.002    3413.0    4054.0    1.0  \n",
+       "2-stage-model beta_[trt]       0.003    4386.0    4926.0    1.0  \n",
+       "              beta_[x1]        0.000    6372.0    5671.0    1.0  \n",
+       "              alpha_outcome    0.001    5326.0    5325.0    1.0  "
       ]
      },
-     "execution_count": 389,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1298,7 +1259,17 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Here both models seem to recover substantially similar and correct results. This is good to see, but we'll try our hand at some more datasets below where this relationship breaksdown due to the feedback effects within the joint-model specification. "
+    "Here the models fail to recover substantially similar and correct results. This is interesting and demonstrates a key property of propensity scores in the Bayesian setting. \n",
+    "\n",
+    "### The Problem of Feedback\n",
+    "\n",
+    "The issue here is sometimes called Bayesian feedback or \"collider bias via the likelihood\", and it's a key issue when trying to build joint models for causal inference in the Bayesian paradigm. Because we have fit the outcome and the treatment models simultaneously, and this means that the outcome can influence the posterior distribution of the parameters $\\beta$ in the treatment model and it violates the idea of design-before-analysis. We have here an apparent example of a slight bias due to this effect.  The two stage modular approach seems to better recover the treatment effect reported in the literature and avoids the risk of collider bias i.e. in the modular implementation we are able to use the propensity score to adjust for accuracy and compensate for the missing variables `x2` and `x1`. \n",
+    "\n",
+    "<div style=\"border-left: 4px solid #007acc; padding: 0.5em 1em; background-color: #f0f8ff;\">\n",
+    "\n",
+    "**💡 Key Take-away:** With an underspecified outcome model, we may use a well specified propensity score for adjusting the model to retrieve accurate treatment effect estimates. However, this tends to breakdown if we have estimated both propensity score and outcome in a joint bayesian model due to feedback effects. The solution is to use the propensity score in a 2 stage fashion. \n",
+    "\n",
+    "</div>"
    ]
   },
   {
@@ -1312,7 +1283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 390,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1325,7 +1296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 395,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -1337,13 +1308,16 @@
     },
     {
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-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
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      "metadata": {},
@@ -1368,13 +1342,16 @@
     },
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-       "model_id": "ff8196a6e63f455ea9535e8e197de939",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
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      "metadata": {},
@@ -1409,7 +1386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 396,
+   "execution_count": 28,
    "metadata": {},
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     {
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        " */\n",
        "\n",
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-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
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+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
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-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
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+       "    --jp-content-font-color3,\n",
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+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
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        "\n",
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@@ -1512,6 +1537,7 @@
        "\n",
        ".xr-section-item input + label {\n",
        "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
        "}\n",
        "\n",
        ".xr-section-item input:enabled + label {\n",
@@ -1520,7 +1546,7 @@
        "}\n",
        "\n",
        ".xr-section-item input:focus + label {\n",
-       "  border: 2px solid var(--xr-font-color0);\n",
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@@ -1652,7 +1678,9 @@
        ".xr-var-item label,\n",
        ".xr-var-item > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
        "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
        "}\n",
        "\n",
        ".xr-var-item > .xr-var-name:hover span {\n",
@@ -1663,6 +1691,7 @@
        ".xr-var-list > li:nth-child(odd) > label,\n",
        ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
        "}\n",
        "\n",
        ".xr-var-name {\n",
@@ -1712,8 +1741,15 @@
        ".xr-var-data,\n",
        ".xr-index-data {\n",
        "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
        "}\n",
        "\n",
        ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
@@ -1726,6 +1762,12 @@
        "  float: right;\n",
        "}\n",
        "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
        ".xr-var-name span,\n",
        ".xr-var-data,\n",
        ".xr-index-name div,\n",
@@ -1785,15 +1827,23 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(7.45471953)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c727d4bf-02a8-47df-baeb-1ff6814fb473' class='xr-array-in' type='checkbox' checked><label for='section-c727d4bf-02a8-47df-baeb-1ff6814fb473' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.455</span></div><div class='xr-array-data'><pre>array(7.45471953)</pre></div></div></li><li class='xr-section-item'><input id='section-b67b1838-3eaf-4b2d-9de7-22237af58e7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b67b1838-3eaf-4b2d-9de7-22237af58e7b' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-edfc72e7-e43a-4970-ae88-601ea78970c9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-edfc72e7-e43a-4970-ae88-601ea78970c9' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0a853479-2be4-438b-a576-92323896df04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0a853479-2be4-438b-a576-92323896df04' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(3.26519676)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c2fcfc2d-8faf-48b9-9ce8-389fa490be4b' class='xr-array-in' type='checkbox' checked><label for='section-c2fcfc2d-8faf-48b9-9ce8-389fa490be4b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.265</span></div><div class='xr-array-data'><pre>array(3.26519676)</pre></div></div></li><li class='xr-section-item'><input id='section-10ee08e1-8ddf-4a0e-850c-a7055ae36627' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-10ee08e1-8ddf-4a0e-850c-a7055ae36627' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-366e0cf3-b389-48bf-ae6b-3c98cbbddd45' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-366e0cf3-b389-48bf-ae6b-3c98cbbddd45' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5e208367-3b35-465e-81b0-10c9d6ac1e68' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e208367-3b35-465e-81b0-10c9d6ac1e68' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(7.45471953)"
+       "array(3.26519676)"
       ]
      },
-     "execution_count": 396,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1804,7 +1854,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 397,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -1830,28 +1880,76 @@
        " */\n",
        "\n",
        ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
        "}\n",
        "\n",
        "html[theme=\"dark\"],\n",
        "html[data-theme=\"dark\"],\n",
        "body[data-theme=\"dark\"],\n",
        "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1f1f1f;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
        "}\n",
        "\n",
        ".xr-wrap {\n",
@@ -1907,6 +2005,7 @@
        "\n",
        ".xr-section-item input + label {\n",
        "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
        "}\n",
        "\n",
        ".xr-section-item input:enabled + label {\n",
@@ -1915,7 +2014,7 @@
        "}\n",
        "\n",
        ".xr-section-item input:focus + label {\n",
-       "  border: 2px solid var(--xr-font-color0);\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
        "}\n",
        "\n",
        ".xr-section-item input:enabled + label:hover {\n",
@@ -2047,7 +2146,9 @@
        ".xr-var-item label,\n",
        ".xr-var-item > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
        "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
        "}\n",
        "\n",
        ".xr-var-item > .xr-var-name:hover span {\n",
@@ -2058,6 +2159,7 @@
        ".xr-var-list > li:nth-child(odd) > label,\n",
        ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
        "}\n",
        "\n",
        ".xr-var-name {\n",
@@ -2107,8 +2209,15 @@
        ".xr-var-data,\n",
        ".xr-index-data {\n",
        "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
        "}\n",
        "\n",
        ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
@@ -2121,6 +2230,12 @@
        "  float: right;\n",
        "}\n",
        "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
        ".xr-var-name span,\n",
        ".xr-var-data,\n",
        ".xr-index-name div,\n",
@@ -2180,15 +2295,23 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(5.49030396)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f319ef9d-48cc-4002-9506-a997f80fc800' class='xr-array-in' type='checkbox' checked><label for='section-f319ef9d-48cc-4002-9506-a997f80fc800' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.49</span></div><div class='xr-array-data'><pre>array(5.49030396)</pre></div></div></li><li class='xr-section-item'><input id='section-62ed7958-e875-4fca-90e7-46685faf388c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-62ed7958-e875-4fca-90e7-46685faf388c' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-95fcfb85-d50c-4515-b894-26ec1bc6a455' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-95fcfb85-d50c-4515-b894-26ec1bc6a455' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9973325e-4970-4707-8f33-76c9365eb1c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9973325e-4970-4707-8f33-76c9365eb1c5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(0.57154089)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1a7fb594-3ab9-42f6-ab74-1e54d3294b26' class='xr-array-in' type='checkbox' checked><label for='section-1a7fb594-3ab9-42f6-ab74-1e54d3294b26' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.5715</span></div><div class='xr-array-data'><pre>array(0.57154089)</pre></div></div></li><li class='xr-section-item'><input id='section-f529eb46-1414-4c4b-97e0-3bc0df2cd88a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f529eb46-1414-4c4b-97e0-3bc0df2cd88a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-22851600-b50f-45d1-a8d9-022e66c7ad4b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-22851600-b50f-45d1-a8d9-022e66c7ad4b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8f389dfe-d8ab-405c-ba4f-d4ed6473689c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8f389dfe-d8ab-405c-ba4f-d4ed6473689c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(5.49030396)"
+       "array(0.57154089)"
       ]
      },
-     "execution_count": 397,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2199,7 +2322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 398,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -2225,28 +2348,76 @@
        " */\n",
        "\n",
        ":root {\n",
-       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
-       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
-       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
-       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
-       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
-       "  --xr-background-color: var(--jp-layout-color0, white);\n",
-       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
-       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
        "}\n",
        "\n",
        "html[theme=\"dark\"],\n",
        "html[data-theme=\"dark\"],\n",
        "body[data-theme=\"dark\"],\n",
        "body.vscode-dark {\n",
-       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
-       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
-       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
-       "  --xr-border-color: #1f1f1f;\n",
-       "  --xr-disabled-color: #515151;\n",
-       "  --xr-background-color: #111111;\n",
-       "  --xr-background-color-row-even: #111111;\n",
-       "  --xr-background-color-row-odd: #313131;\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
        "}\n",
        "\n",
        ".xr-wrap {\n",
@@ -2302,6 +2473,7 @@
        "\n",
        ".xr-section-item input + label {\n",
        "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
        "}\n",
        "\n",
        ".xr-section-item input:enabled + label {\n",
@@ -2310,7 +2482,7 @@
        "}\n",
        "\n",
        ".xr-section-item input:focus + label {\n",
-       "  border: 2px solid var(--xr-font-color0);\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
        "}\n",
        "\n",
        ".xr-section-item input:enabled + label:hover {\n",
@@ -2442,7 +2614,9 @@
        ".xr-var-item label,\n",
        ".xr-var-item > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
        "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
        "}\n",
        "\n",
        ".xr-var-item > .xr-var-name:hover span {\n",
@@ -2453,6 +2627,7 @@
        ".xr-var-list > li:nth-child(odd) > label,\n",
        ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
        "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
        "}\n",
        "\n",
        ".xr-var-name {\n",
@@ -2502,8 +2677,15 @@
        ".xr-var-data,\n",
        ".xr-index-data {\n",
        "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
        "}\n",
        "\n",
        ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
@@ -2516,6 +2698,12 @@
        "  float: right;\n",
        "}\n",
        "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
        ".xr-var-name span,\n",
        ".xr-var-data,\n",
        ".xr-index-name div,\n",
@@ -2575,15 +2763,23 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(1.96441557)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-be656989-af66-4476-acd8-542b4d49a6bd' class='xr-array-in' type='checkbox' checked><label for='section-be656989-af66-4476-acd8-542b4d49a6bd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.964</span></div><div class='xr-array-data'><pre>array(1.96441557)</pre></div></div></li><li class='xr-section-item'><input id='section-f6bdb367-6245-45a3-9c5e-ecbba3012916' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6bdb367-6245-45a3-9c5e-ecbba3012916' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1470da34-8acf-4495-8ebd-e1a37eba7db9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1470da34-8acf-4495-8ebd-e1a37eba7db9' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7537fae0-7c59-4f5c-9e9b-457e70f11900' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7537fae0-7c59-4f5c-9e9b-457e70f11900' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(2.69365587)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0cfab33f-f11c-4024-beba-17fca56e86e5' class='xr-array-in' type='checkbox' checked><label for='section-0cfab33f-f11c-4024-beba-17fca56e86e5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.694</span></div><div class='xr-array-data'><pre>array(2.69365587)</pre></div></div></li><li class='xr-section-item'><input id='section-eba2d5ec-da78-48f0-a1fe-e13964079b12' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eba2d5ec-da78-48f0-a1fe-e13964079b12' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e60d8db0-be71-47de-bccb-f10587bb8034' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e60d8db0-be71-47de-bccb-f10587bb8034' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7b727a7a-ca9f-4947-a82a-bc8438ea427c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7b727a7a-ca9f-4947-a82a-bc8438ea427c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
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        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(1.96441557)"
+       "array(2.69365587)"
       ]
      },
-     "execution_count": 398,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2606,7 +2802,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 399,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -2845,7 +3041,7 @@
        "[1752 rows x 12 columns]"
       ]
      },
-     "execution_count": 399,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2859,32 +3055,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 400,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
-      "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, beta_std, beta_ps_spline, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4c136837a3ed44598a737bc049c91db9",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
@@ -2894,8 +3090,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
     {
@@ -2912,40 +3110,32 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 27 seconds.\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 13 seconds.\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
-      "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, alpha_trt]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_trt_std, alpha_trt]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d30f91fd6615437eb272b4c1cf75216c",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -2960,25 +3150,25 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps_spline, beta_std, like, sigma]\n",
-      "Auto-assigning NUTS sampler...\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps_spline, alpha_outcome, sigma]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b16540d7402941ec8df1bcf032bc6713",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
@@ -2988,8 +3178,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
     {
@@ -3006,7 +3198,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 5 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
      ]
     }
    ],
@@ -3032,6 +3224,7 @@
     "    \"beta_trt\": [0, 1],\n",
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [40, 30],\n",
+    "    \"sigma\": 10,\n",
     "}\n",
     "net_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
     "\n",
@@ -3045,12 +3238,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 403,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
+      "image/png": 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gcePGiImJQUxMjMK4dNmPCcC7z8dp06aJQ1BsbW1RqVIlPHv2DDt37sTJkyexc+dO1KhRQ2l9fPfddzh//jyqVauGWrVqITMz8wM1qD7169eHoaEhnj59Kta9TN75FkaPHo2QkBDo6emhevXqKFOmDF68eIGgoCAEBARg8ODBTOY1TSAinbFw4UJBKpUKEyZMKNL+vr6+glQqFerWrSscPnxYXP7mzRvhu+++E6RSqdChQwchPT1dbr8OHToIUqlUqFevnrB161YhJydHEARBeP36tTBw4EBBKpUKY8eOFVxcXIQjR46I+z1//lzo2LGjIJVKhd27d8uVee3aNTGWxo0bC1evXhXXRUdHC7169RKkUqng5eWl8Dq8vb2FiIgIuWVZWVnC33//LdStW1fo2LGjGKPM6tWrBalUKjg7OwuDBg0SYmJixHUZGRmCIAhCZGSkeA7eJ5VKBalUKri4uAgHDx6UO3cjR44UpFKp8P3338vtk5OTI/To0UOQSqXCmDFjhKSkJHHdyZMnhfr16wv16tUTpFKpEBkZqXDM/MyYMUOQSqXCjBkz5JbHxsYKjRs3FqRSqbB48WLh7du3Yhz/+9//xDq8e/eu0nOzevVqueUHDx4U9+nWrZvw+PFjcd2NGzfEY124cEFuP1ndDhs2rNCvKa+oqCjh+PHjQkpKitzyFy9eCF5eXoJUKhXWrFmjsF/e9+mGDRuE7OxsQRAEITMzU5g6daoglUqFAQMGKOwne+/36dNHeP78ubj8ypUrQqNGjcQ6unbtWpFez/u2b98uSKVSoWnTpkJWVlah91uxYoUglUoFJycn4ccffxRu3rwpvsYP+dD7Wqao53zs2LGCVCoV+vbtK3dNBQYGCq6urvmeu7179wpSqVRwd3eXW5ednS2sW7dOkEqlQtu2bcVrszBk9Z/3+sz7OurXry9IpVLh1KlTgiD8d16cnZ2Fhg0bCmfOnBG3l90D79y5I9StW1eQSqXCpk2bxPvK27dvhQULFghSqVRo0qSJEBcXJ3e8YcOGife3yZMnC6mpqYIgCEJubq6wY8cOcd371+KFCxcEJycnoVmzZmKcMrL7W6NGjRSOV5T706JFi8T7yPv1/vDhQ+Gvv/6SW/ah61p2/PwMHjxYkEqlwunTpxXWZWZmCm5uboJUKhXCw8PzLSOvy5cvi8ccOXKkcP78eSEtLa1Q+06YMEGQSqWCh4eHEBISIrfu6dOnwqZNm+SWLV26VJBKpULr1q2F27dvy23btWtXQSqVCpMmTZLbpzDvrdjYWMHNzU1wcnIS1q9fL96vBUEQgoODhTZt2ghSqVTw9fUt1OsShP/u5fnde8ePHy9IpVJh3LhxgiAIQnJysnDo0CEhMTFRbrvXr1+L74+ZM2cqlCN7fzs7Owvz5s2TO/ey16eO+7i6vm+kpqYKHh4eglQqFX766SfhzZs34roHDx4I3bt3F6RSqbBr1y6l5/P9z8a8fvvtN0EqlQpffPGFcOfOHbnzILtH9O3bV24f2bXk7OwstGjRQrh+/bq4rrD3PFkdfCg2Gdl3hvfvjbLP+Pe/S8icPHlSkEqlQq9eveTu74IgCPHx8cL27dsLfd1R8eFgWiIdEhcXBwBF7o4ta5EfOnQoevXqJS43NzfHr7/+Cmtra0RHR8PHx0fp/m3btsXo0aPFlmwLCwuxW/b58+cxYMAAucfeVK5cGWPGjAHwrjutMtnZ2fDy8kLz5s3FZVWqVMH//d//AQBOnz4tdqmU+eKLL8RZWmUMDAwwYMAAdOvWDZGRkQgJCVF6PH19ffz++++oVKmSuEyV1tH+/fvLTa5lbm6OWbNmKX2Nly9fRnh4OKysrLBixQpYWlqK67p06YKxY8ciKyur0McuyJ49e5CSkgJnZ2fMmTNHbAHT09PD+PHj0a5dO2RlZcm1pBdGdnY2li5dKtey0LBhQwwYMAAAcPHiRbW9BuBdS9nnn3+uMElZhQoVsGzZMhgaGuLo0aP57t+6dWuMHTtWbOEzNDTE7NmzYWRkhJs3b+L169fits+ePcOZM2cAAP/3f/8n1/rSokULTJw4Ua119OLFC6xbtw4AMHLkSBgYFL6D3DfffIN69epBEAT89ddfGDBgAJo0aYIhQ4bgt99+w61bt4ocV1HO+ePHj3H+/HkYGhpi1apVcteUq6srZs2apfTcZWZmYu3atdDX18eaNWvkekro6+vj22+/RZcuXRAbGys+seNjxMfHY/r06cjMzISlpSVatmwptz4nJwcTJ05Ex44dxWWy1sItW7YgOzsbHTt2xJgxY8R7n5GREX788Uc4OjrizZs32Lt3r9JjW1paYsmSJWKLpUQiwfDhw9G5c2dkZ2dj27ZtctuvWrUKgiDg559/Vmh9HzBgAEaMGIHU1FTs379f6fFUuT/JhhuMGjVKod5r1aqFQYMGKT1GUfTr1w8A5Lryypw/fx5JSUmoX79+oR8d2LJlSzG+q1evYuzYsXB1dUWvXr3w448/4ty5c8jJyVHYLzQ0FGfOnIGRkRE2bdoEFxcXufXVq1cXP7MAICUlRazb+fPno169enLbyj6nTp48KdfiLvOh99a2bduQlJSEkSNHYty4cXI9Fho3boyFCxcCeNdT42MJgoDt27eL3bc///xzAEDZsmXRp08fhWFBFhYWmDdvHipXrowTJ04gOztbabmOjo5YsGCB3DAD2ev72Pu4Or9vHDx4EBEREejUqRPmzp0rN0lo7dq18dtvv0EikShcjwVJSEjA9u3bYW5ujv/9739yQ6BMTEwwb948fPbZZ7h9+zaCgoIU9s/JycGCBQvQqFEjcZkq30eAd0MAnJycFP5Tx1M7ZMMx+vXrJ3d/BwAbGxuMHDlSYYgJlTx2syfSIampqQBQpJtnamqqmOAOHz5cYb2pqSkGDhwojp/s37+/wjbKluX98FK2XjZOUzbe932GhoZK96tTpw6aNGmC4OBg+Pn5YciQIXLrHz16hGPHjiE8PByvX78Wv2zExMQAeNf9UlkX3ZYtW37Uo+eUxerk5ARjY2O8efNGbkKzK1euAAA6d+6s8EgYAOjbt6/CM4E/xuXLlwEg3y7YI0aMwIULF8TtCsvZ2Vnp0AvZsvzq9mPk5ubC19cXly9fRmRkJNLS0sQuohKJBE+fPkV6errSa0H2I0NesmdPP3nyBJGRkeIPK35+fhAEAU2bNlWaSPTv3x+//fabWhL6zMxMfP/990hKSoKzszO++eYblfY3NzfH3r17sWfPHuzfvx+PHj1Ceno6rl+/juvXr2PTpk3o2LEjli5dCgsLC5XjU/Wcy97fbm5uCj+uAUD37t2xcOFCZGRkyC0PCQnBy5cv8dlnn+U7z4S7uztOnTqFwMBAfPHFFyq9jg0bNojJruzRdLKu2D/99JPS2f579+6ttCzZtaLsnilLzH/88UdcvnwZkyZNUtimf//+Sr+cDx06FKdPn4afn5+4LDo6GmFhYShXrpxc8peXu7s7tm7disDAQKXrVbk/yX64OnXqFJycnIr1UWWff/45fv75Z1y8eBEJCQly47BlCb6qj7FctGgRWrdujZ07dyI4OBjZ2dm4f/8+7t+/j3379sHR0RHLly+XG/t89uxZAECnTp3kukrnJzg4GOnp6ahSpYrSOmnQoAEaNWqEGzdu4PLly0rnecjvvXX69GkAyu9XANCmTRsYGhrixo0byM7OVumHvzt37oifmdnZ2YiIiEBSUhKAdz8kv/+s+atXr+LcuXN4+vQpUlNTkZubC+Dd9ZOeno5nz54pnRuioEl2P+Y+rs7vGwWd6zp16sDOzg6RkZGIjY1VSFzzc+HCBWRmZsLd3V3pPnp6emjfvj1u3bqFgIAAhXmMypYtm++1Xlj5PZqusMPaPkT2mi5cuIABAwYwcddSTOaJdIjsF+709HSV942IiEBubi6MjIyUfvEG3v1CDfzXYvM+ZV9U8n4pU7Ze9sVR9kPE+ypVqpTvo7Rq1aqF4OBghXg2bNiAVatWiV84lMnb+ppXzZo1892nMPKblMvGxgYxMTFIS0sTX7Ms7vweDWhnZwdzc3OkpKR8VEwysuPJ6vF9smT11atXSElJKfQjzPJ7v8jqPr+6Lark5GSMHTsWN27cKHA7ZV8u8qujcuXK4cmTJ0hLSxOXyc5Zfu8Lc3NzVKxY8aN/sBAEAbNmzUJwcDAqVKiAtWvXKh07XBBjY2OMHj0ao0ePRlxcHEJDQxEUFCSOcT579iw8PT3FseiFVZRzXtD729jYGNWrV5eb7AsAwsPDAbxLXt//kU7mzZs3AP7rjaSKp0+firEZGhqiQoUKcHV1xVdffaV08kBra2ulk3wlJycjISEBAJQmMkDB98z83ley5XmvRdl5efv2bb7nRTbfQn7nRZX705dffol//vkH69atw+HDh9G6dWu4urqiWbNmH/WDpzJlypRB165dcejQIfj4+IhPY0hISMDFixdhaGhYpNnVO3fujM6dOyMlJQWhoaEICQnBuXPnEBoaigcPHmD06NHw8fER6/fx48cAoNAin58nT54AeFdf+f3YUbt2bdy4cUPpeyC/91Zqaqo4+Vh+kwLKvH37FklJSfmOW1cmJSVFnBNAT08PFhYWcHNzwxdffIG+ffuKryUzMxOTJ08WeyflR/ZDwPvyuy6A4rmPF/X7huza+v3337F+/XqlcSQmJgJ4d20VNpmXlXvz5s18r9n4+Hix3PdVr169UHNEfEhhHk1XVB4eHrCzs4Ofnx/atGmDNm3awNXVFW5uboXuRUPFj8k8kQ6RfcEqSmIh+3CzsbHJ90uJ7MtCfsmZsolq8pal7AO5oNae9ye3U7YubzyBgYFYsWIF9PX1MXXqVLi7u6NKlSowNTWFRCLBypUrsX79+ny7BeY3I3dh5be/rHVCyDPBkOxHlw8907pMmTJqS+ZlSWp+5zTv8tTU1EIn8wW9ZnVbsmQJbty4gRo1amDKlClwcXGBtbW1mPy2bdsWcXFx+baW59d6oKyOZOdM2RdumfLly390Mv/TTz/Bx8cHVlZW2Lp1q1qeXFCxYkV06tQJnTp1wg8//IDly5dj69at8Pf3R3BwMJo0aVLosopyzgv7/n6fLFFPSEgQk+X85J0sUJXXokorb37v77w/+uR3TRV0z1TlWpSdl7yJWH7yOy+q3J+cnZ2xa9curFmzBteuXcO+ffuwb98+SCQStGrVCrNnz/5gsqaqfv364dChQ/jnn3/EZN7HxwdZWVno0qXLB58AURBzc3O0bNkSLVu2xIQJE3Dy5ElMnjwZ8fHx2LdvH7799lsAEO+1he25Upj7g7LPKZn86iPvPb+gugag0LulIHlnI/+QjRs34syZM6hQoQKmTZuGpk2bokKFCuJ1P2TIEFy/fj3fz9MPtdR+7H1cnd83ZOc7LCws33hlVDnXsmtWNlHehyi7Zj/2+0hxMzMzw549e/D777/j1KlTOH78OI4fPw7g3Y9Y06ZNQ4cOHTQcJTGZJ9IhjRo1wu7du4vU7U72pTohIQGCICj90Hv16pXctiXhQ1/mZevyxiMbY/f1118rfWxYbGysmiMsOtmXjbxJwfvU2aptZmaGN2/eID4+XmmrhayFACjZOlZFdna2OCvwunXrFFo2s7OzxfepOsi+TH3ofZj3vBXFypUrsXv3bpiZmWHTpk1yM/yri4GBAX744QccPXoUL1++xK1btwqdzBf1nMve3x96D38owenZsyd+++23QsWoCXm/aMfHx8PW1lZhm4Lumfm9r/Iul+0rO17jxo3zHYOvbg0bNsSWLVuQmpqK69evw9/fHz4+PvDz8xNbtYsyZEMZV1dXODg4ICwsDOHh4ZBKpeIs9qp2sS9I165dceLECZw8eRKhoaHictm5Tk5OLlQ5qtwfVLmnvj/ru6ZmA5d9ni5ZsgRt2rRRWF/Uz9OSvo8XxMzMDMnJyTh9+rTcrO3qKBcAxo8fj8mTJ6utXG1SqVIlLFmyBD/99BPCwsLg7++PU6dO4fbt2/juu++wd+/eQvd0oeLBCfCIdEi7du1gZmaG+Ph4nDp1SqV9q1WrBj09PWRmZipMKCfz8OFDACjUWEJ1iYmJyTcZkD26LW88sq6JeSeMyevevXvqDfAjyOJ+v5uxzPPnz9XWKp/3eLJ6fN+DBw8AvGtNLGyrfFF8zNjbhIQEpKWlwcrKSmkX5QcPHiid2KqoZOdM1p32fampqR/1A9HmzZuxfv16GBsbY/369WjQoEGRyyqInp4eqlSpAgByjzcqqD6Kes5lEyLKupq+LzMzU5xAKS9Z13TZ+1FbWVhYiC2y+T1GsqB7pqxb9/tk5eW9FmXnRfYc85JUpkwZtGnTBtOmTcOJEydQrVo1xMXFqX1yy7wT4YWHhyMsLAwVKlRQmkh+LNnwoLwtv7JzXNBjE2Vk7/FHjx7l+2jDonxuli1bVvxxKL/7dUn40OdpYmJikYa5ACV/Hy+IrIeJqvecgu6dunIvy48qn9UGBgZwcXHB2LFjcfDgQXTv3h05OTk4ePBgMUZIhcFknkiHWFhYiBMx/fLLLwV2/Q0ODha78JUpU0b8wFbW/S4jI0OcNKp169bqDPuDsrKycODAAYXl4eHhCAoKErt8ysgmk1LWWurn56dVybws7tOnTytN2g8dOqTW48nqbffu3UrXy+q9uOtX1j1S1a6hefdNSUlRuv/mzZs/Lrj3yM5FYGCg0i/V+/fvL/Lkd/v27cOvv/4KQ0ND/P777wrPt1dVQT0EkpOTlSYWBdVHUc+5bFZ4f39/MSnI6/jx40rLc3V1hbW1Ne7duwd/f/8PvCLNk70/lN0zBUHArl275LZ734EDB5Q+N1rW8p733ubg4ACpVIqkpCSxxVoTTE1Nxd4jL168KNQ+hb3mv/jiC+jr6+Po0aPi501hny2fV2F6y8jGaue9FmTPjz9z5ozS2eff16RJE5iamiImJkacPC+vW7du4caNGwqfU4Uhe1rBn3/+qdJ+6iSrN2Xnc9u2bUVOuEv6Pl4Q2bnesWNHvj/KKCP7vpHf+7pdu3YwNDTExYsX8503Q5sV9Po+RNYaX9h7BBUfJvNEOsbT0xONGjXCq1evMHjwYPzzzz8KY7GePHmChQsXYsSIEXLdA2WzZ+/du1fukTApKSmYPn06EhISYGdnV6SJiIrKwMAAa9asQUBAgLgsNjYWM2bMAPDuQzhvl3FZ1+GNGzfK9TAIDQ3F7NmzVX6sS3Fq2bIlnJyckJiYiGnTpsl17Txz5gw2btyo1u6VQ4YMgbm5Oe7evYtffvlFTCJyc3OxadMm8TFio0ePVtsxlZGNB3/48GGBY6LfZ2FhAUdHR2RnZ8u9hpycHGzcuBHHjx9X6zmrXr06OnbsCEEQMGPGDLlWeH9/f6xdu7ZIxztx4gQWLFgAPT09/N///Z9axhV+8803mDp1Kq5evarwA8Pdu3cxYcIEpKamokKFCnLJpY2NDcqUKYP4+HilLcxFPec1atRA+/btkZWVhe+//16uFS84OBhLlixRup+xsTEmTpwIAJg0aRL+/fdfhS/Y4eHh+PXXXxEcHKzCGVK/r776CgYGBjh79iy2bt0qtphnZmbi559/Rnh4OMqWLZvv5FdJSUmYPXu2ONRGEATs3r0bp0+fhr6+vsK1OG3aNEgkEixatAj79+9XGKscGRmJ//3vf+Ls3B9j/vz5OH78uMKEqoGBgbh69SoA5Pu0gffJWsHz3seVsbW1RZs2bfDy5Uvs2bMHQNG62K9fvx5Dhw6Fj4+Pwg+lL168wI8//ij+GJz3aQj169dHp06d8PbtW3zzzTdyXfCBd4/i2rJli/hvc3NzsW4XLVqEO3fuiOsiIiIwc+ZMAO9m689v8sH8fPPNN7CysoK3tzeWLFmi0PU/KSkJBw4cEB9lWRxkn6dLly4Ve8gJgoB//vkHW7duLfLnaUnfxwsyaNAg2Nvbw9/fH9OmTVNIQFNTU3H8+HEsWbJEbrnsfS0b2vi+ihUrYuTIkcjKysLXX3+t8OOkIAgIDQ3F/Pnz8+0RqUmy13fr1i2lEytv374d27dvVxgS8fz5c7ERprD3CCo+HDNPpGOMjIywZcsWzJo1C6dOncKMGTMwf/58VKtWDcbGxnjx4oX4pbpSpUpyXzA6dOiAsWPHYuPGjZg2bRqWL1+OcuXK4fHjx0hLS4OlpSVWrVqldOKZ4tKoUSOUKVMGw4cPh4ODA8zMzBAeHo7s7GzY29srzPQ7aNAg7N27FxEREfj8889Ro0YNZGVl4cmTJ6hduza6deum8rNii4uenh6WLVuG4cOH49y5c2jbti1q1aqFxMREREdHY/jw4fD19UV0dPRHz2gLvPtisWzZMkyaNAl//vkn/vnnH1SrVg3Pnz9HfHw89PT0MG/ePNSpU0cNry5/NjY2aN68Oa5duwYPDw/Url0bxsbGKF++PFauXFng/lOmTMGECROwb98+nDp1ClWrVkV0dDQSExMxYcIEHD58WGlLcFHNnz8f9+7dw+3bt+Hh4QFHR0ekpaXh6dOnaN++PVJTU/N9FFh+fvjhB+Tm5sLc3By7du0SW3DfN2/evEJ/GcrNzYWPjw98fHzEmeKNjIzw4sUL8cuphYUFVq1aJTcmVyKRoGvXrjh48CD69OkDR0dHcb2sxbmo53zhwoUYMmQIQkND0bFjR0ilUqSlpeHJkydwd3fHmzdvEBgYqPD+Hjp0KGJiYrBx40Z4enrCysoK9vb2yM3NRXR0tDh79sf2ZvhYzs7OmDNnDhYtWoT/+7//w5YtW1C5cmU8e/YMycnJMDIywm+//ZbvY6AmTJiA//3vf/D19UWNGjXk6mrKlCkKs+u3a9cO8+bNw88//4y5c+diyZIlcHBwgEQiQWxsrPilesGCBR/92kJCQvDXX3/BwMAA1atXF3/wkdVzr1690Lx580KV9fnnn+PBgwcYP348nJycxKEDK1asUDg3/fr1w/nz55Gdna3Ss+XzkkgkCA4ORnBwMPT09FCtWjVYWFggISEBsbGxyM7Ohr6+PmbOnIn69evL7fvzzz/j1atXuHHjBgYMGAA7OztYW1uL59fOzg5ff/21uP2kSZPEscJ9+vRB7dq1YWBgIHYVr1OnDn788UeVX0OlSpWwbt06fPfdd9i+fTt2796NGjVqwNTUFAkJCYiKioIgCOjWrZvKZReWl5cXrly5Al9fX7Rt2xbVq1fHy5cv8eLFC/Tu3RsxMTEF/kCTn5K+j39ImTJlsGHDBowdOxY+Pj44fvw4atSoAXNzc7x+/RqRkZHIyclRGPvdunVrWFpaIjg4GO3bt4e9vT0MDAzQpk0bcc6eyZMn48WLFzhy5AhGjBiBChUqoHLlyuKQRtmPJLJJH7VJvXr14ODgIH7W1ahRA4aGhqhTpw7mzJmD6Oho7NixA0uWLIGdnR3KlSuHlJQUPHv2DDk5OZBKpcXeOEAFYzJPpIPKlCmD1atXIygoCN7e3ggKCkJUVBSysrJgbW2N9u3bo1OnTujRo4dCYj516lQ0btwYO3fuxO3bt/Hq1SvY2tqiV69eGD9+vNLnlRYniUSCtWvXYsOGDThy5AgePnwIa2treHh4YOLEiQqzCJubm2PPnj1Yvnw5Lly4gCdPnqBixYoYPXo0PD09tSaRl6lTpw4OHjyIVatW4fLly3jw4AGqV6+OH3/8EV9++SV8fHwAqDZ5kqzro7KWjY4dO+LQoUPYuHEjrl27hnv37qFs2bLo1KkTvv7663znGlC35cuXY/ny5bh8+TLCwsKQnZ0NOzu7Qu3r7u6OTZs24Y8//sDdu3fx5MkTODo6Yvbs2ejVqxcOHz6s1lgrVqyIAwcO4Pfff8fZs2fx8OFDVKlSBRMnTsTYsWPx1VdfqVymrOW8oJnJZbMhF8bWrVtx6dIlXLx4EQ8ePMCLFy/w5s0bmJmZwcXFBa1bt8aXX36pdAb1OXPmoEyZMjh79izu37+v0LJf1HNeqVIl7N+/H6tXr4avry8ePHggd+4GDx4MQPn7e+rUqejQoQN2796N4OBg3Lt3D2XKlEHFihXRsWNHdOnSBS1atCj0+SkuQ4cOhZOTE7Zu3Yrr16/j3r174n123Lhx+T4KEng3pGDPnj1Ys2YNQkJCkJmZiYYNG2LMmDHo1KmT0n2+/PJLNG3aFDt27MC1a9fw8OFDGBkZoVKlSmjevDk6deqEdu3affTrmjVrFs6ePYvg4GDExMQgIiICtra24vtIld4kY8eORW5uLo4dO4aHDx+KLbHKZvDu0KEDrK2tkZiYWOSJ76ZMmYJWrVrh4sWLuHnzJuLi4hAdHQ1DQ0M4ODjA1dUVQ4YMUfrDpaWlJXbu3Im///4bPj4+ePDgAV69eoUKFSqgS5cu6NOnj9z2JiYm2LJlC/bu3YvDhw+LcxrUqlUL3bp1w6hRo4r8/O0mTZrg+PHj+PPPP3H+/HnxEbIVK1ZEmzZt0KFDB7GLeHGoX78+du/ejVWrVuHGjRt48uQJqlevjrFjx2LYsGEflYCW9H28ILVq1cLhw4exZ88enDlzBo8ePUJkZCQqVKiApk2bol27dgrn2tzcHFu2bMHq1avFRx/m5ubKfZYZGBjg119/RY8ePfD333/j5s2buHv3LiwsLODg4IBGjRqhS5cu4vwL2kRPTw8bNmzAihUrEBQUhNDQULmhFYMHD4alpSWuXbuGiIgI3L17F5aWlvjss8/Qs2dP9O/fv0Qbf0g5iaDK4BEiIjXx9/fHiBEjCv0InU9RYmIimjdvDgsLC5VafsePH49z587h66+/xvTp04sxQqKiy83NhZubG968eYOAgABYWlpqOqQSM3z4cAQEBGDHjh0a712gbZKTk9GqVSsIggA/P7+PeiQdEVFpxzHzREQaIpsAT9XWctns4ep8BjSRup0+fRpv3rxB7dq1S1UiTx929OhRZGZmomPHjkzkiYg+EpN5IqJidP/+fezbt0/u8XuCIODw4cP4/fffAUDsilwY27dvR3R0tDhuj0iTXr16hU2bNiExMVFu+cWLFzF//nwAqr2/6dOWlJQkzmQ+dOhQDUdDRKT7OGaeiKgYJSUl4ccff8TChQtRpUoVWFlZITIyUpzga9CgQXB3dy+wnK+//hr379/Hy5cvAQBjxowRn1NMpCkZGRn47bffsHz5clSqVAnly5dHbGys+D5t3749kzbCxo0bcf78eTx48ADJyclo3bo1hx8QEakBk3kiomJUu3ZtjBkzBpcvX0ZMTAxiYmJgbm6OFi1aYODAgYWeqTg0NBRZWVmoV68eBg0ahEGDBhVz5EQFK1euHDw9PXHp0iVERUXh3r17MDExQePGjdG7d2/0799fLU9qIN32+PFjBAcHw8rKCr1798asWbM0HRIR0SeBE+ARERERERER6RiOmSciIiIiIiLSMUzmiYiIiIiIiHQMx8xTsXp/hmPSLpaWlnj9+rWmw6D3pKamwt7eHgAQGRmJMmXKaDgiUobXj/ZjHWk31o92Y/1oP9aRdlO1fqytrVU+BlvmiUoxPT3eAoiKiteP9mMdaTfWj3Zj/Wg/1pF2K4n64TuAiIiIiIiISMcwmSciIiIiIiLSMUzmiYiIiIiIiHQMk3kiIiIiIiIiHcNknoiIiIiIiEjHMJknIiIiIiIi0jFM5omIiIiIiIh0DJN5IiIiIiIiIh3DZJ6IiIiIiIhIxzCZJyIiIiIiItIxTOaJiIiIiIiIdAyTeSIiIiIiIiIdw2SeiIiIiIiISMcwmSciIiIiIiLSMUzmiYiIiIiIiHQMk3kiIiIiIiIiHcNknoiIiIiIiEjHGGg6ACIiIiIiItJOJ06cwM2bN3Hv3j08evQIWVlZmDt3Lnr06KFyWTdv3sS+fftw69YtJCYmwtTUFDY2NnByckKzZs3QvXt3cVsfHx8sXry4yMcqDZjMExERERERkVIbNmxAbGwsrKysUK5cOcTGxhapHB8fH/z888/Q19dHy5YtYW9vj7dv3yI6OhpXrlzBjRs35JJ5KhiTeSIiIiIiIlJq9uzZsLe3R+XKlbFjxw6sW7dO5TIyMjKwYsUKmJmZYePGjahVq5bc+uzsbAQHB6sr5FKDyTwREREREREp5ebm9tFlPHr0CGlpaWjbtq1CIg8ABgYGaNasmfjvRYsW4fjx4wCAxYsXY/HixeK6a9euAQDu3bsHHx8fXL9+HXFxccjOzkbVqlXRpUsXDB06FAYGiqnu9evXsXHjRty7dw9GRkZo2rQpJk6ciAULFuDGjRti2TKCIMDHxwdHjhzBo0ePkJOTgxo1aqBfv37o2bPnR5+Xj8VknoiIiIiISFWCAGSna+7wmUZAVlr+GxiYAhJJyQX0ARYWFgCA58+fIzc3F3p6H56HvV27dkhJScHFixfRtm1bODo6Kmxz+PBh+Pn5oWHDhmjRogXevn2L69evY926dbhz5w6WLl0qt72/vz+mTJkCAwMDdOzYEeXLl8f169cxbtw4lC1bVqF8QRAwf/58nD59GtWqVUOXLl1gYGCAgIAA/Pzzz3jy5AkmTpz4EWfl4zGZJyIiIiIiUoUgwHTfl9B/fkNjIWQDMP/A+pwqjZE+aJdWJPRVq1aFk5MT7t+/j++++w7du3dHvXr1UK1aNejr6yts365dO7x580ZM5pVNgDdixAhMmzZNbn9BEPDLL7/g6NGjuHnzJlxcXAAAOTk5WLJkCQRBwB9//IH69euL+/z00084duyYQvmHDx/G6dOn0bNnT8yYMUNs6c/KysKsWbOwZ88edO7cGXXq1Pno81NUfDQdERERERGRyjSfJOsKiUSCX375BZ999hlu3LiBxYsXY8iQIejYsSM8PT3h4+ODnJwclcqsXLmywg8BEokE/fr1AwAEBgaKy2/evInY2Fi0adNGLpEHgHHjxin9QeHAgQMwNTXFtGnT5LrsGxoaYvz48QCA06dPqxSzurFlnoiIiIiISBUSybtWbw12s7eyskJSUlL+G2hRN3sAsLOzw6ZNmxAeHo7AwEDcuXMHt27dQlBQEIKCgnDixAmsXLkSRkZGhSovKysL+/fvx5kzZ/D06VOkp6dDEARx/atXr8S/Hzx4AABo0KCBQjm2traoWLEinj9/Li7LyMjAo0ePUL58eezYsUNhn+zsbADAs2fPCvfiiwmTeSIiIiIiIlVJJIChmeYOb1QGMMzU2PGLSiqVQiqViv8ODg7GggULEBwcjIMHD2LIkCGFKmfWrFnw8/NDtWrV4OHhAWtraxgYGCAlJQX79u1DZuZ/5yY1NRXAux9AlLGxsZFL5pOTkyEIAl6+fIktW7bkG0N6uuZ+zAGYzFMxy8nJQW5urqbDoHxkZWUhKytL02HQe/LWCetIe7FutB/rSLuxfrQb60f7aaKOZF3hc3Jy1HbsBg0a4Ouvv8bSpUsRGBiI/v37F3isu3fvws/PD25ubli2bJlcN/mwsDDs27cPubm54n6mpqYAgPj4eKVxx8fHA/jvO5ixsTEAwMnJCZs3b/5g/Pmdh5KoHybzVKyio6PlfhUj7ZKUlITXr19rOgx6T95feSMjI8UPINIuvH60H+tIu7F+tBvrR/tpoo4SExMBvEt+1dnFPCUlBcC770CycmXHevnypcKxbt68CQCoU6cOoqKi5NadP38ewLvWeNl+5ubvpgoMCAhAy5Yt5baPj4/HixcvAMh3m69SpQqePn2KO3fuoEyZMiq/JlXrx9bWVuVjMJmnYpWZmQl9fX2lk0qQ5hkbGxd6XBKVnLwTwBgZGbGOtBSvH+3HOtJurB/txvrRfpqoI9lEcAYGBiod+8WLF7h+/TratWun0EiRkZGBf//9FwDg7OwslivrEv/69WuFY1WuXBnAu7HweWe6j4yMxNGjRwEAenp64n6fffYZypcvj+DgYERERKB27driPt7e3uJ3r7zH6datGzZv3oxt27ZhwoQJMDExUXhNQP5JuCr1o+rkfzJM5qnY6evrw9DQUNNhkBKGhoasGy2Ut0uWgYEB60hL8frRfqwj7cb60W6sH+1XUnX077//4u7duwD+a7n29fUVlzVr1gzNmjX7YBmZmZnYunUrdu3aBWdnZ1SrVg1GRkaIj49HUFAQUlJSUKtWLfTq1Ut8TXXr1oWRkRGOHz+Ot2/fis+q79evH+rUqQNHR0dcvXoVr1+/hlQqxatXrxAQEIAmTZrg6tWr0NPTkzs/48ePx5IlS7BgwQK0bt0aVlZWCAsLQ0JCAhwcHPDs2TO57bt164ZHjx7h3LlzuH//PlxcXGBtbY3Xr18jKioKDx48wOTJk2FnZ6f0NZdE/TCZJyIiIiIiIqXu3r2Lc+fOyS27d+8e7t27B+Bdy3RByXzVqlUxffp0hISEIDw8HBcuXEBKSgrMzMxgb2+P5s2bo2vXrnIt2WXLlsX06dPx119/4eTJk+LQ3X79+kFfXx9z5szBzp07cePGDTx8+BCVK1fGqFGj0LhxY1y9elUhhiZNmmD+/PnYu3cv/Pz8YGRkhAYNGmDatGn46aefFHoMSCQSTJw4EU2aNMG///6LoKAgZGRkwNLSEpUrV8bIkSPF59hrikTIO38/kZoFBgbCyMiIv+xqqQIfaUIakZaWhqZNmwJ4dw2ZmWluplzKH68f7cc60m6sH+3G+tF+rCP1SE9Px6hRo1C9enUsW7ZMbeWqUj9ZWVlF+mFAT+U9iIiIiIiIiHRIRkaGwqPkcnJysH37dmRmZhbYu0AbsZs9ERERERERfdJiYmIwe/ZsNGzYEBUrVkR6ejru3r2LyMhI2Nvbo3v37poOUWVM5omIiIiIiOiTZmNjg5YtWyIsLAw3btxATk4OKlSogN69e2PAgAEKs9XrAibzRERERERE9EmztLSEl5eXpsNQK46ZJyIiIiIiItIxTOaJiIiIiIiIdAyTeSIiIiIiIiIdw2SeiIiIiIiISMcwmSciIiIiIiLSMUzmiYiIiIiIiHQMk3kiIiIiIiIiHcNknoiIiIiIiEjHMJknIiIiIiIi0jFM5omIiIiIiIh0jIGmAyAiIiIiIiLtEx8fjytXriA4OBjR0dFISkqCubk56tSpgz59+kAqlapU3t27d3H06FHcv38fycnJMDY2hpWVFWrWrImGDRvC3d1d3NbX1xdr1qyBl5eX3HL6D5N5IiIiIiIiUnDs2DF4e3ujUqVKcHFxgaWlJWJiYuDv74+AgABMmTIFrVq1KlRZvr6+WLt2LfT19dG4cWNUrlwZmZmZiIuLQ3BwMO7cucOkXUVM5omIiIiIiEiBo6Mjfv75Z9StW1du+Z07dzB//nysX78ebm5uMDQ0/GA5b9++xebNm2FqaopffvkF1atXl1ufnZ2N27dvqz3+Tx2TeSIiIiIiIlLQokULpcvr1q2L+vXrIyQkBM+ePUPt2rU/WM6zZ8+Qnp4ONzc3hUQeAAwMDNCwYUPx36tXr8a5c+cAAGvWrMGaNWvEdd7e3gCAR48e4ezZs7h9+zbi4+ORnZ2NSpUqoW3btujduzcMDBRT3du3b2Pv3r149OgRDA0N4eLiglGjRmHVqlUICwsTy5YRBAFnz57F2bNn8ezZM+Tk5MDe3h5du3aFh4fHB19zSWAyT0REREREpCJBAN6+1dzx0zOAjIz81xsbAxJJ8R1fX19f7v8fUrZsWQDAixcvkJubCz29D8/D3qxZM6SmpiIgIABubm6oUaOGwjanT59GUFAQ6tatiyZNmuDt27e4ffs2du3ahYcPH2LGjBly24eEhGDx4sXQ19dHq1atYG1tjdu3b2P27NkoU6aMQvmCIGDVqlW4ePEiqlSpgjZt2sDQ0BAhISH4448/EBUVhVGjRhX42osTk3kiIh0SGaWP2FgDVKqUDfuqOZoOh4iIqFQSBGDeAmvcDzfScCQV813j5JSJn+YnFktC//LlS4SGhsLa2hrVqlUrcPtKlSqhZs2aePz4MX788Ue4u7vD0dERVapUUfpjQN5kvlmzZkrH0vfr1w9jx46V218QBPzxxx84e/Ys7t69C2dnZwBATk4O1q1bB0EQ8NNPP8lN3LdmzRr4+voqlP/vv//i4sWL8PDwwPjx48XjZGVl4ddff8Xhw4fRpk0b1KpVq+ATVkyYzBMRabHkNxJkZUvwJkWCTZstcefuf18a6jpn4psxr1HWXJDbx9JCeL8YIiIiUrdibPXWZtnZ2Vi1ahWysrIwYsSIQrXMSyQS/PDDD2J39rCwMACAsbExnJyc0K5dO7Rr165QZcnY2toqPc7nn3+Os2fPIjQ0VEzm7969i5cvX6JZs2YKM/APGTIE58+fR25urtzyEydOwMTEBN98841cXIaGhvjyyy8RGBiIS5cuMZknIvrUfagb3Pvydtn7bmIF6OmVgZ4eUKYMsGiBBC6fATdvAb8uN8LUHyrgvc8e7NwWp3J8JiYq70JERFRqSSTAT/MTNdrN3tLKCq+TkvJdXxzd7HNzc7F27VrcuXMHnTp1Qvv27Qu9b6VKlbB06VI8efIEN2/exMOHD3Hv3j2EhoYiNDQU586dw48//ljgZHoyWVlZOH78OPz8/BAdHY2MjAwIwn8NGgkJCeLfT58+BQDUqVNHoZzy5cujQoUKiIv77/vT27dv8ezZM9jY2ODQoUMK+2RnZwMAoqKiChVrcWEyT0RUAoaPzr8b3Ptyc1OVLAN+mCqBe/t3n8ru7d918Zu/ULEVXpVjyezfq/oPAERERKWZRKLZH8NNTYC3JXh8QRCwbt06XLhwAe3atcP48eOLVE6NGjXkxsDfvn0bq1atwu3bt3HixAn06tWrUOX8+uuvCAwMRJUqVdCqVStYWlrCwMAAqamp8PHxQVZWlrhteno6AMDCwkJpWZaWlnLJfEpKCgRBQHx8PPbt25dvDG81+WsOmMwTEekMl8/k/92wgWbiICIiotIlNzcXf/zxB3x9fdGmTRt4eXkVOIldYdWvXx9DhgzB2rVrcevWrUIl8w8ePEBgYCAaNWqEOXPmyHWDv3//Pnx8fOS2NzU1BQAkJycrLe/169dy/zYzMwMA1KpVC7/99ptKr6ckMZknIioBqnR9T09PQ+vWistv3nrXIi8TEvrxxyIiIiL6kLyJfOvWrTFp0iSVxrYXhomSLg6yHwveH8sOALGxsQCAJk2aKMRy584dhe0dHBwAAPfu3VNY9+rVK7x69UpumampKapWrYqoqCikpqYqne1eGzCZJyIqAap0w8v7mfXH6pcwNU3FilVWWLHSEIKgh4YN3iXyK1floq5zFqZ8n1TkYxERERHlJ28i37JlS3z//fdFSuTj4uIQHByMDh06iK3kMhkZGWJLumzCOgAwNzcHAMTHxyuUV6FCBQDvJrbr3r27uDwiIkLpGHdnZ2dUqFABgYGBCA8Pl5sEb+/evcjJUXxCUPfu3bFhwwb88ccfmDhxosIPDnFxcZBIJEon4ispTOaJiLSYRVkBZmYCpn6fhN/XWmH+wv9ms2/wWRYmeSbBgrPXExERUTH4+++/4evrCxMTE1SpUgX79+9X2KZZs2ZKnwOfV1paGjZt2oQ///wTzs7OqFatGoyMjBAfH4+goCCkpKSgVq1acom5k5MTjIyMcPToUaSlpYnj3fv16wdHR0c4Ojri8uXLSExMhFQqxatXrxAQEIAmTZrg6tWrcsfX19fHuHHjsGTJEsybNw+tW7eGlZUVwsLCkJCQAAcHBzx79kxuny5duiA8PBznzp3DvXv34OLiAmtra7x+/RpRUVF48OABJk+ezGSeiIg+zMJCwLzZiXzOPBEREZWYFy9eAHjXen7gwAGl29ja2haYzFetWhXTp09HSEgIwsPDceHCBaSkpMDMzAz29vZo3rw5unbtCiOj/xotypYti+nTp+Ovv/7CyZMnkZmZCeBdMq+vr485c+Zg586duHHjBh4+fIjKlStj1KhRaNy4sUIyD7zrkj9//nzs3bsXfn5+MDIyQoMGDTBt2jT89NNPCj0GJBIJJk6ciCZNmuDff/9FUFAQMjIyYGlpicqVK2PkyJFwcXFR6Xyqm0TIO38/kZoFBgbCyMio0I+YoJJlZWWFpA880oQ0Iy0tDU2bNgXw7hqSTcJC2oXXj/ZjHWk31o92Y/1oP9aReqSnp2PUqFGoXr06li1bprZyVamfrKysIv0woJ4pCLWcv78/nJycsGbNGk2HojYzZ86Ek5OT+N/evXtL7NgrV66UO/andF6JiIiIiOjTk5GRIT6iTiYnJwfbt29HZmYmmjVrpqHIio7d7NXA3d0dAODr61vixx4xYgQsLCxQv359ueVOTk5wc3PDzp07VS7T398fI0aMgKenJ7y8vBTWN2/eHAYGBoiOjoa3t3eRYyciIiIiIioJMTExmD17Nho2bIiKFSsiPT0dd+/eRWRkJOzt7eXG6+sKJvM6buTIkahatWqJHrNFixZo0aIF/P39mcwTEREREZHWs7GxQcuWLREWFoYbN24gJycHFSpUQO/evTFgwAClj8fTdkzmiYiIiIiI6JNmaWmptNexLisVY+bzCgwMxLBhw9CoUSO4ublh6tSpiI2NVdguPj4ev/zyCzp16oT69eujWbNm8PLyQnh4uLhNVFQUnJycEB0djejoaKXjyDMzM7Fz5058/fXXaNeuHerXr48WLVrA09MTd+7cUfvrk80PAAABAQFyMcmeuXjo0CHx3+fPn8fQoUPRqFEjuLu7Y82aNRgxYgQAYO3atXL7R0VFqT1eIiIiIiIiUl2papkPCQnBhg0b0L59ewwfPhxhYWHw8fFBcHAwDhw4gPLlywMAIiIiMHz4cMTFxaFVq1bw8PBAfHw8Tp8+DT8/P2zfvh0uLi6wsLCAp6cn/vzzTwDvurzLuLm5AQBev36NX375Ba6urmjXrh0sLCwQGRkJX19fXLx4Ebt27UKDBg3U9hrt7Ozg6emJtWvXws7ODn369BHXOTs7y2178uRJXL58Ge3bt8fQoUORmpoKNzc39OnTB97e3nBzcxNfBwDx2Y5ERERERESkWaUqmffz88PixYsxYMAAcdnatWuxZs0arFixAr/88gsAYPr06Xj16hW2bNmCVq1aidt+++236NevH+bOnYujR4/CwsICXl5e4rhxZd02LC0tcf78eVSsWFFu+YMHDzBw4ECsXLkS27ZtU9trrFq1Kry8vMRk/kNdSS5evIitW7eiZcuWCutkyfyn1hWFiIiIiIjoU1CqutnXqFED/fv3l1s2ZswY2NjY4NixY8jMzMSdO3dw48YNfPHFF3KJvGz/gQMHIjw8XK67/YcYGRkpJPIA4OjoiGbNmiEwMBBZWVlFf1EfwcPDQ2kiT0RERERERNqtVLXMN27cGBKJRG6ZiYkJ6tWrh0uXLuHp06cICQkBALx69Urp89MfP34s/l8qlRbquHfv3sXmzZsRHByMV69eKSTviYmJsLW1LcIr+jjq7N5PREREREREJadUJfPlypVTulw2Vv7Nmzd4/fo1AOD8+fM4f/58vmWlp6cX6pjXr18Xx9K3atUKDg4OMDMzg0QiwZkzZ3Dv3j1kZmaq8CrUJ7/zQURERERERNqtVCXz8fHxSpe/evUKAFC2bFmYm5sDAObNm4dhw4Z99DHXr1+PzMxM7NmzB02aNJFbJ+sFoCnv91IgIiIiIiIi3VCqxsxfv34dgiDILcvIyEBYWBhMTEzg4OAAFxcXAMCNGzcKXa6enh5ycnKUrouIiICVlZVCIp+enl4sj6YrTEwF0dfXB4Ai709ERERERETFq1Ql80+ePMGBAwfklm3evBkJCQno3r07jIyM0KBBA7i4uODYsWM4fvy4Qhm5ubkICAiQW2ZpaYnExES8fftWYXs7Ozu8fv0aDx48EJfl5OTg//7v/5CQkKCmV6bI0tISsbGxRd4XAOLi4tQZEhEREREREalJqepm37p1ayxcuBAXLlxAzZo1ERYWBj8/P1SuXBlTpkwRt1u+fDlGjhyJyZMn488//0S9evVgbGyM58+fIyQkBAkJCbh165a4ffPmzXH79m2MHz8eTZo0gZGRERo3bgxXV1cMGzYMfn5+GDp0KD7//HMYGRkhICAAcXFxcHNzU/hhQF2aN2+OEydOYOLEiXB2doa+vj7atWsHJyenAvetWbMmbG1tcezYMZiYmKBSpUqQSCQYMmQIypYtWyzxEhERERERUeGVqmS+YcOGGD9+PFatWoUdO3bA0NAQ3bt3xw8//CBOggcA9vb28Pb2xrZt23D27FkcPHgQenp6sLW1haurK7p27SpX7oQJE5CcnIxz587h2rVryM3NhaenJ1xdXdGhQwesXr0aGzZswJEjR2BiYoLmzZvjjz/+wB9//FFsr3XOnDkAgGvXruHff/9Fbm4uypcvX6hkXl9fH2vXrsVvv/2Gw4cPIzU1FQDQrVs3JvNEGmb0+ikM30Qjq6wdMi0dNB0OEREREWmIRHh/EDnphJkzZ8Lb2xtnz55F1apVNRKDv78/RowYAU9PT3h5eSndJjAwEEZGRjA0NCzh6KgwrKyskJSUpOkw6D1paWlo2rQpAOC63xmYmZpC720yKgathOmLm+J26bYuiHOdjFxjC7n9c0ysSjLcUovXj/ZjHWk31o92Y/1oP9aRdlOlfrKyssS521RRqlrmP0UdO3YEACxYsABDhgwpkWOuXLkS69evL5FjEX0KJNmFe5Tlf9tniH/XODIUZYwkECR6gFFZpPdYiVy7JtCLDobJv/NR/cRXkAi5cvs/HHBMpeMJBqYqbU9EREREmsdkXkd5eHjAzs5O/Hf9+vVL7NjNmzeHgcF/bx03N7cSOzaRLqq9v7tK26dmKnaYkgi5SO+0ADnSd8N8cqRd8VYQYHJsisK2qh7vwRBflbYnIiIiIs1jMq8loqKi4O3tXeB2ZcuWxahRo+Dh4QEPD48SiExRixYt0KJFC40cm6g0y7WTf8RlTlVXDUVCRERERJrGZF5LREdHY+3atQVuZ2dnh1GjRhV/QESkNqp2e09LSweWtVFYrhcdLLbMA4B+VJBajkdEREREuofJvJZo1qwZ7t+/r+kwiKgYqDomXTD4r5v9k157YGZqisqXF8L47CJkCgJyqrpCPyoIRr4/Id3WBTGt5n/U8YiIiIhI9zCZJyLSYjnGlsgxMcPz1gtQ+crPMMszRj6tkitiWs5BrrGlBiMkIiIiIk1gMk9EpANyjS0R3WEZnzNPRERERACYzBMR6ZRMSwcm8UREREQEPU0HQERERERERESqYTJPREREREREpGOYzBMRERERERHpGCbzRERERERERDqGyTwRERERERGRjmEyT0RERERERKRjmMwTERERERER6Rgm80REREREREQ6hsk8ERERERERkY5hMk9ERERERESkY5jMExEREREREekYJvNEREREREREOobJPBEREREREZGOYTJPREREREREpGOYzBMRERERERHpGCbzRERERERERDqGyTwRERERERGRjmEyT0RERERERKRjmMwTERERERER6Rgm80REREREREQ6xkDTAdCnLycnR9MhUD6ysrKQlZWl6TDoPdnZ2XJ/s460E68f7cc60m6sH+3G+tF+rCPtpkr9FDVfYjJPxcrIyAiZmZlM6LXU27dvkZmZqekw6D156yQzMxP6+voajIbyw+tH+7GOtBvrR7uxfrQf60i7lUT9MJmnYmVnZ4fc3FxNh0H5sLa2RmJioqbDoPekpqaKf9vb26NMmTIajIbyw+tH+7GOtBvrR7uxfrQf60i7lUT9MJmnYqWvr89WRS1maGgIQ0NDTYdB78lbJ6wj7cW60X6sI+3G+tFurB/txzrSbiVRP5wAj4iIiIiIiEjHMJknIiIiIiIi0jFM5omIiIiIiIh0DJN5IiIiIiIiIh3DZJ6IiIiIiIhIxzCZJyIiIiIiItIxTOaJiIiIiIiIdAyTeSIiIiIiIiIdw2SeiIiIiIiISMcwmSciIiIiIiLSMUzmiYiIiIiIiHQMk3kiIiIiIiIiHcNknoiIiIiIiEjHMJknIiIiIiIi0jFM5omIiIiIiIh0DJN5IiIiIiIiIh3DZJ6IiIiIiIhIxzCZJyIiIiIiItIxTOaJiIiIiIiIdIyBpgMg0mVPngqIjgbs7IAaDhJNh0NERERERKUEk3miQkpMEsS/XycL+G05EHLzv/UNXQRMmwpYWrxL6q2tmNwTEREREVHxYDJPpV56ulDwRgB6fvHfdnp6QJkywKIFErh8Bty8Bfy6XMCIUUBu7rvt/j1RuOObmjLpJyIiIiIi1TCZp1Kv0+eFS+bzys0FfpgqgXv7d4m4e3tAEID5C/8rq7Dl+p1nMk9ERERERKrhBHhEReTymfy/GzbQTBxERERERFT6sGWeSr1/TxSuZfz9lvabt961yMuEhBatXCIiIiIiIlUxmadSr7Bj1o/+89/f8+YLWLFKgCC8a5EPCQVW/i6goQvw00KJSuUSERERERGpisk8USHlnZ1+8UJg4WJBbox8U1dg/lwJrDiLPRERERERFTMm80RFYGUlwcrfJHzOPBERERERaQSTeaKPUMNBghoOmo6CiIiIiIhKm1I9m/2hQ4fg5OQk/jd58mRx3cyZM+Hk5ISoqCgNRqidrly5Infehg8frumQiIiIiIiIShW2zAPo2LEjnJ2d4ejoqOlQdIK9vT08PT0BAGvXrtVwNERERERERKUPk3kAHh4e6Nu3r9yyKVOm4JtvvkHFihU1FJX2sre3h5eXFwAm80RERERERJrAZD4ftra2sLW11XQYRERERERERApK9Zj5D1E2Zt7f3x9OTk5Ys2YNwsLC8PXXX6NRo0Zo0qQJvvvuu3zH10dGRuLHH3+Eu7s76tevjxYtWmD48OE4dOiQwrbe3t4YOHAgGjVqhEaNGmHgwIHw9vZW2C5vLNevX8fw4cPRqFEjNG/eHAsWLEBGRgYA4OLFixg8eDAaNmyIli1b4tdff0VOTo7SOM+cOYORI0eiadOm+Oyzz9CjRw9s2bIl3+2JiIiIiIhIM5jMF8Ht27fx5ZdfQl9fH4MHD0b9+vVx5swZjB49Gm/fvpXb9saNG+jTpw/+/vtv1KxZE6NHj0anTp2QkZGBHTt2yG37yy+/YObMmYiNjUW/fv3Qv39/xMXFYebMmViyZInSWG7evIlRo0ahbNmyGDx4MKpUqYK9e/di7ty5OHHiBLy8vFC5cmUMGjQIZcuWxebNm7Fx40aFclasWIHvvvsOT58+RefOnTF06FAYGRlh2bJlchMDEhERERERkeaxm30RnD9/HitXrkS3bt3EZdOnT8fhw4dx5swZdO/eHQCQmZmJyZMnIzU1FRs3bkTbtm3lyomNjRX/DgoKwp9//olatWph3759KFu2LABg4sSJGDhwILZv345OnTrB1dVVroxLly7hjz/+gIeHBwAgKysL/fr1g4+PD/z8/LBz5040aNAAAODl5YXOnTtj+/bt+Oabb2Bg8K76L1++jA0bNqBt27ZYvXo1TE1NAQCCIGDBggX466+/cOrUKXTp0kWdp5GIiIiIiIiKiC3zRdC0aVO5RB4A+vXrBwC4deuWuOzs2bOIiYlBr169FBJ5AKhUqZL4t6zLvaenp5jIA0DZsmXFmeOVdbd3c3MTE3kAMDQ0RJcuXSAIAjp06CAm8gBgbm6O9u3bIykpSe6HhF27dgEAFi1aJCbyACCRSDBt2jRIJBIcO3bsQ6eEiIiIiIiIShBb5ougbt26CstkiXlycrK4LDQ0FADQqlWrAsu8e/cuAKBZs2YK69zc3OS2KSgW2cR9zs7OCusqVKgAAIiLi0PVqlUBvOuqb2ZmhgMHDiiNzcTEBI8fPy7wNRAREREREVHJYDJfBHlbzmX09fUBALm5ueKyN2/eAEChHm+XkpICPT092NjYKKwrX7489PT0kJKSorDO3Nw831iUrZN1rc/OzhaXvX79GtnZ2R98zFxaWlqBr4GIiIiIiIhKBpP5YiRL+uPi4grc1tzcHLm5uUhISEC5cuXk1sXHxyM3N1dpcq4OsnL9/f2LpXwiIiIiIiJSL46ZL0ay8eqXL18ucFtZl3hlCXVAQAAAoE6dOmqM7j8NGjRAUlISnj59WizlExERERERkXoxmS9GHTt2RKVKlXDkyBFcunRJYX3eFvs+ffoAAP744w+57vQpKSn4448/5LZRt+HDhwMAZs+ejcTERIX1L1++xKNHj4rl2ERERERERKQ6drMvRkZGRli1ahXGjBmDb775Bm3atEGdOnWQkpKCu3fvIiMjA//88w+AdzPkDx8+HDt37kSPHj3QuXNnCIKAf//9FzExMRg+fDiaNm1aLHG2bdsWEyZMwLp169C5c2e0adMGVapUQVJSEp49e4bg4GB8//33qFWrVrEcn4iIiIiIiFTDZL6YNWrUCN7e3tiwYQP8/Pxw9epVWFhYoFatWhg8eLDctnPnzoWzszP27t2Lv//+GwBQu3ZteHl5iY++Ky6TJk1C06ZNsWPHDly9ehVv3ryBlZUVqlatCk9PT/Ts2bNYj69rJPEPoZcUgVyrahDK1dZ0OEREREREVMpIBEEQNB2Ephw6dAizZs3CkiVL0LdvX02Ho5OcnJzg5uaGnTt3Kl2vrNu+zklL+O/v9CSYnJkPg+ggcVG2nSsyPBYCplbvFpgpPpFAW1lbW38adfSJSU1Nhb29PQAgMjISZcqU0XBEpAyvH+3HOtJurB/txvrRfqwj7aZq/VhbW6t8DLbMA5g1axZmzZqFbt26YeXKlZoOR+tduXIFo0eP1nQYHy+rcI/bM1/fSvxbkOgBRmWR3mMlcu2aQC86GCb/zkeZHT0hEd49ljDFK7hwxzc0UzlkIiIiIiIioJQn887OzvD09BT/7ejoqMFodIe9vb3cebOzs9NgNEVnvqaJyvtIhFykd1qAHGlXAECOtCveCgJMjk1RudyUKXdVPj4RERERERHAZF58JBwVnr29Pby8vDQdhsbk2skn6zlVXTUUCRERERERlValOpmn0q2w3eHfb2nXiw4WW+YBQD8qSG59obvZExERERERFRGTeSq9CjlmPWX8ZfFvk6OTYHz2J2QKAnKqukI/KghGvouRXbUpMnqsUqlcIiIiIiKiomIyT1SQPLPTZ/RaDZPj0+TGyGdXb4mMbr8BpqrPQElERERERFQUTOaJVGFqjYx+W/iceSIiIiIi0igm80RFIJSrjRwm8UREREREpCF6mg6AiIiIiIiIiFTDZJ6IiIiIiIhIxzCZJyIiIiIiItIxTOaJiIiIiIiIdAyTeSIiIiIiIiIdw2SeiIiIiIiISMcwmSciIiIiIiLSMUzmiYiIiIiIiHQMk3kiIiIiIiIiHcNknoiIiIiIiEjHMJknIiIiIiIi0jFM5omIiIiIiIh0DJN5IiIiIiIiIh3DZJ6IiIiIiIhIxzCZJyIiIiIiItIxTOaJiIiIiIiIdAyTeSIiIiIiIiIdw2SeiIiIiIiISMcwmSciIiIiIiLSMUzmiYiIiIiIiHSMgaYDoE9bTk4OcnNzNR0G5SMrKwtZWVmaDoPek7dOWEfai3Wj/VhH2o31o91YP9qPdaTdSqJ+mMxTsYqOjkZmZqamw6B8JCUl4fXr15oOg96Tnp4u/h0ZGQlTU1MNRkP54fWj/VhH2o31o91YP9qPdaTdVK0fW1tblY/BZJ6KVWZmJvT19aGvr6/pUEgJY2NjGBkZaToMek9OTo74t5GREetIS/H60X6sI+3G+tFurB/txzrSbqrUT97vfqpgMk/FTl9fH4aGhpoOg5QwNDRk3WihvF2yDAwMWEdaiteP9mMdaTfWj3Zj/Wg/1pF2K4n64QR4RERERERERDqGyTwRERERERGRjmEyT0RERERERKRjmMwTERERERER6Rgm80REREREREQ6hsk8ERERERERkY5hMk9ERERERESkY5jMExEREREREekYJvNEREREREREOobJPBEREREREZGOYTJPREREREREpGOYzBMRERERERHpGCbzRERERERERDqGyTwRERERERGRjmEyT0RERERERKRjmMwTERERERER6Rgm80REREREREQ6hsk8ERERERERkY5hMk9ERERERESkYww0HQARERERERGRqiKj9BEba4BKlbJhXzVH0+GUOCbzREREREREpBNeJ0vwJkWCTZstceeukbi8rnMmpn6fBAsLQYPRlSwm80RERERERKRVMjKULx8zzhZ6ekCZMsCiBRK4fAbcvAX8utwIK1dbYca0RKX7mZgUY7AawmSeiIiIiIiItMrw0RXzXZebC/wwVQL39hIAgHt7QBCA+QuN8t1v/9644ghTozgBHhEREREREekUl8/k/92wgWbi0CS2zBMREREREZFW2blNeUu6rOX95q13LfIyIaHv/r908SvY2ZWOyfCYzBMREREREZFWyW+M++YNL7BilRVWrDSEIOihYYN3ifzKVblo8FkWatUqHYk8wGSeiIiIiIiIdISlhYCp3yfh97VWmL/wv9nsG3yWhUmeSZoLTAOYzBMREREREZHOsLAQMG92Yql/zrzKE+AdOnQITk5O4n+TJ08ujrhIiz179kzuPeDu7q7pkIiIiIiIqJSxr5qDpq5vS2UiD3xEy3zHjh3h7OwMR0dHcdnw4cMREBCA+/fvqyW40kyWIPv6+mo4EkWWlpbw9PQEAPz5558ajoaIiIiIiKj0KXIy7+Hhgb59+6ozFtIRVlZW8PLyAgB4e3trOBoiIiIiIqLSh8+ZJyIiIiIiItIxakvmnZycEBAQIP4t+2/mzJly2927dw+TJ09G69atUb9+fXTo0AE//fQTEhMT5baLiooS93/06BHGjRsHV1dXNG3aFFOmTEFCQgIA4ObNmxg9ejQaN26Mpk2bYu7cuUhLS5Mry9/fH05OTlizZg0CAwMxbNgwNGrUCG5ubpg6dSpiY2OVvqb4+Hj88ssv6NSpE+rXr49mzZrBy8sL4eHhCtu6u7vD3d0dycnJWLx4Mdq1a4e6devi0KFDAIDbt29j0aJF6NGjB5o0aYIGDRqgZ8+e2LhxI7KyshRed3R0NKKjo+XO5Zo1awD8N2+BrOz8Xuv79TN8+HDExcVh5syZaNWqFerUqQN/f39xm8DAQIwfPx7NmjVD/fr10blzZ6xcuRLp6elKzw8RERERERFphtpms/f09IS3tzeio6PF8dQA4OzsLP599uxZfP/999DX14e7uzsqVaqER48eYdeuXfDz88Pff/8NS0tLuXKjoqIwePBg1K9fHwMGDMDt27dx7NgxxMTEYNq0afjqq6/QsmVLDBo0CP7+/ti/fz8AYPHixQoxhoSEYMOGDWjfvj2GDx+OsLAw+Pj4IDg4GAcOHED58uXFbSMiIsTkt1WrVvDw8EB8fDxOnz4NPz8/bN++HS4uLnLlZ2ZmYuTIkUhNTUWHDh1gaGiIcuXKAQD+/vtvnDt3Dk2bNkXbtm2RkZGBgIAALF++HLdu3RKTbwsLC3h6eopj0UeOHCmW7+bmVqS6kUlKSsKgQYNgaWmJzz//HFlZWTA3NwcA7N27FwsXLoSlpSU6dOgAa2tr3L59G+vXr4e/vz927NgBIyOjAo5AREREREREJUFtybyXlxcCAgIQHR0tjqfOKzExEdOnT4eNjQ327t2LKlWqiOt8fHwwdepUrF69GvPmzZPbLzAwELNnzxaTWkEQMG7cOFy4cAHjx4/H8uXL4eHhAQDIyspCv3798M8//+D777+XS84BwM/PD4sXL8aAAQPEZWvXrsWaNWuwYsUK/PLLL+Ly6dOn49WrV9iyZQtatWolLv/222/Rr18/zJ07F0ePHpUr/+XLl3BycsLevXthYmIit27cuHGYP38+9PX1xWWCIGDOnDk4ePAggoOD0aRJE1hYWMDLy0sci67sXBZVeHg4+vbti8WLF8vF8fDhQyxevBjOzs7Ytm0brKysxHUbN27E8uXLsWvXLnz11Vdqi4WIiIiIiIiKrsTGzB8+fBgpKSmYMmWKXCIPAD169EC9evVw7Ngxhf3s7e0xfPhw8d8SiQTdunUD8K7VX5bIA4ChoSG6dOmCrKwsPHr0SKGsGjVqoH///nLLxowZAxsbGxw7dgyZmZkAgDt37uDGjRv44osv5BJ5WRkDBw5EeHi40u72P/zwg0IiDwB2dnZyCbTstXz55ZcAgKtXryrso26Ghob44YcfFOL466+/kJ2djTlz5sgl8sB/58fHx6fY4yMiIiIiIqLCUVvLfEFCQkIAvBvjHhERobD+7du3SExMREJCAmxsbMTlderUgZ6e/G8Otra2AOS78L+/Li4uTmFd48aNIZFI5JaZmJigXr16uHTpEp4+fQqpVCrG+urVK4Wx5wDw+PFj8f9SqVRcbmxsDCcnJ4XtgXdd8Hfv3o1jx47h8ePHSEtLgyAI4voXL14o3U+dqlatKnduZW7evAkAuHTpktIfFQwMDPDkyZNij4+IiIiIiIgKp8SS+devXwMAdu/e/cHt3p9sTTamOy9Zy/KH1mVnZyusk41ff5+sO/6bN2/kYj1//jzOnz9f6FjLlSun8GOBzMSJE3Hu3Dk4ODigW7duKFeuHAwMDJCcnIwdO3aIvQKK0/vDDmRkr3f9+vXFHgMRERERERF9vBJL5mWJ99GjR+Vas0tSfHy80uWvXr0CAJQtWxbAf7HOmzcPw4YNK3T5+SXyoaGhOHfuHFq3bo2NGzfKdXMPCQnBjh07Cn0MAGJPhZycHIV1sh8kVIlP9nqDg4OV/kBCRERERERE2kWtY+Y/lGQ2aNAAwH/d7TXh+vXrcl3bASAjIwNhYWEwMTGBg4MDAIiz1N+4cUMtx42MjAQAtG/fXmG8elBQkNJ99PT0lJ5H4N2M94DyoQR3795VOT5Z3ci62xMREREREZF2U2syL3usnLLntvfr1w9lypTBypUr8eDBA4X16enpxZ7oP3nyBAcOHJBbtnnzZiQkJKB79+7io9caNGgAFxcXHDt2DMePH1coJzc3FwEBAYU+rmzCv+DgYLnlDx48wMaNG5XuY2lpicTERLx9+1ZhXb169SCRSHDs2DG59U+fPlW5lR8Ahg4dCgMDA/z000+IiYlRWJ+cnIw7d+6oXC4REREREREVD7V2s2/evDlOnTqFSZMmoV27djA2NoZUKkX79u1hY2ODFStWYNKkSejduzfatGmDmjVr4u3bt3j+/DkCAgLQqFEjbNmyRZ0hyWndujUWLlyICxcuoGbNmggLC4Ofnx8qV66MKVOmyG27fPlyjBw5EpMnT8aff/6JevXqwdjYGM+fP0dISAgSEhJw69atQh23QYMGaNCgAU6cOIGXL1/CxcUFMTEx8PX1Rbt27XDq1CmFfZo3b47bt29j/PjxaNKkCYyMjNC4cWO4urqiYsWK6NatG44dO4a+ffuiTZs2iI+Px5kzZ9CmTRul5X2IVCrF/PnzsWDBAnTt2hXt2rWDvb09UlJSEBUVhYCAAPTp0weLFi1SqVwiIiIiIiIqHmpN5gcOHIjo6GgcP34c69evR3Z2Nvr06YP27dsDeNfN3NvbG1u2bMHVq1dx+fJlmJmZoWLFiujbty969eqlznAUNGzYEOPHj8eqVauwY8cOGBoaonv37vjhhx8UJoezt7eHt7c3tm3bhrNnz+LgwYPQ09ODra0tXF1d0bVr10IfV19fHxs2bMBvv/2GS5cu4datW6hevTqmT5+Otm3bKk2+J0yYgOTkZJw7dw7Xrl1Dbm4uPD094erqCgD4+eefYWNjgxMnTmD37t2oUaMGFi1aBFtbW5WTeeBd3dWpUwfbt29HYGAgfH19YW5ujipVqmDUqFH44osvVC6TiIiIiIiIiodEeH8QeQEOHTqEWbNmYcmSJejbt29xxaVW/v7+GDFiBDw9PeHl5aXpcD4p7u7uAABfX1+l6wMDA2FkZARDQ8OSDIsKycrKCklJSZoOg96TlpaGpk2bAnh3DZmZmWk4IlKG14/2Yx1pN9aPdmP9aD/WEWD0+ikM30Qjq6wdMi0dNB2OHFXqJysrS5y3TRVFbpmfNWsWZs2ahW7dumHlypVFLYZ00LNnz9C5c2fx33Z2dhqMhoiIiIiIShPD1xGoGLQSpi/+m8A73dYFca6TkWVZTYORlSyVk3lnZ2d4enqK/3Z0dFRrQKT9LC0t5d4Dskf6ERERERERqYMkOz3fddVPfAUYlUV6j5XItWsCvehgmPw7H9VPfIVH/Y/mu59gYFocoWpMkZJ5Z2fn4oiFdISVlRWHKxARERERUbGpvb/7B9end1qAHOm7ecxypF3xVhBgcmzKB/d7MET50GBdpdYJ8LRVs2bNcP/+fU2HQURERERERGqQa9dE7t85VV01FInmlIpknoiIiIiIiHTHwwHHlC43TI5A9VPfQi86WGyZBwD9qCAAwLMu/0OWRekYN89knoiIiIiIiLRKfuPbM22ckG7rAuOzi5ApCMip6gr9qCAY+f6EdFsXZNo4lXCkmsNknoiIiIiIiHTG89YLUPnKzzA7NkVcllbJFTEt52gwqpLHZJ6IiIiIiIh0Rq6xJaI7LNPq58yXBCbzREREREREpHMyLR1KZRIvo6fpAIiIiIiIiIhINUzmiYiIiIiIiHQMk3kiIiIiIiIiHcNknoiIiIiIiEjHMJknIiIiIiIi0jFM5omIiIiIiIh0DJN5IiIiIiIiIh3DZJ6IiIiIiIhIxzCZJyIiIiIiItIxTOaJiIiIiIiIdAyTeSIiIiIiIiIdw2SeiIiIiIiISMcwmSciIiIiIiLSMUzmiYiIiIiIiHQMk3kiIiIiIiIiHcNknoiIiIiIiEjHMJknIiIiIiIi0jFM5omIiIiIiIh0DJN5IiIiIiIiIh3DZJ6IiIiIiIhIxxhoOgD69OXk5Gg6BMpHVlYWsrKyNB0GvSc7O1vub9aRduL1o/1YR9qN9aPdWD/aj3Wk3VSpn6LmS0zmqVgZGRkhMzOTCb2Wevv2LTIzMzUdBr0nb51kZmZCX19fg9FQfnj9aD/WkXZj/Wg31o/2Yx1pt5KoHybzVKzs7OyQm5ur6TAoH9bW1khMTNR0GPSe1NRU8W97e3uUKVNGg9FQfnj9aD/WkXZj/Wg31o/2Yx1pt5KoHybzVKz09fXZqqjFDA0NYWhoqOkw6D1564R1pL1YN9qPdaTdWD/ajfWj/VhH2q0k6ocT4BERERERERHpGCbzRERERERERDqGyTwRERERERGRjmEyT0RERERERKRjmMwTERERERER6Rgm80REREREREQ6hsk8ERERERERkY5hMk9ERERERESkY5jMExEREREREekYJvNEREREREREOobJPBEREREREZGOYTJPREREREREpGOYzBMRERERERHpGCbzRERERERERDqGyTwRERERERGRjmEyT0RERERERKRjmMwTERERERER6Rgm80REREREREQ6hsk8ERERERERkY4x0HQAREREREREpdmTpwKiowE7O6CGg0TT4ZCOYDJPRERERERUQhKTBPHv18kCflsOhNz8b31DFwHTpgKWFhJYWzGxp/wxmSciIiIiIvpI6elCwRsB6PnFf9vp6QFlygCLFkjg8hlw8xbw63IBI0YBubkC/j2RfznGxoJ4TFNTJv2lEZN5IiIiIiKij9Tp88Il83nl5gI/TJXAvf27ZNy9PSAIwPyFQiHKTBD/8jvPZL404gR4REREREREGuLymfy/GzbQTByke9gyT0RERERE9JH+PVG41vH3W9tv3nrXIi8TElq4Mq2srJGUlKhKiPSJYTJPRERERET0kQo7bv3oP//9PW++gBWrBAjCuxb5kFBg5e8CGroAPy2UfLBMMzMJ3r5l9/rSjMk8ERERERFRCck7Q/3ihcDCxYI4Rh4AmroC8+dKYMWZ7KkATOaJiIiIiIg0wMpKgpW/SficeSoSJvNEREREREQaVMNBghoOmo6CdA1nsy+EQ4cOwcnJSfxv8uTJ4rrhw4fDyclJg9HJW7NmDZycnODv719s+zx79kzufLi7uxc1XCIiIiIiIioCtsyroGPHjnB2doajo6OmQ1FJVFQUOnbsiD59+mDp0qUfXZ6lpSU8PT0BAH/++edHl0dERERERESqYTKvAg8PD/Tt21fTYWiclZUVvLy8AADe3t4ajoaIiIiIiKj0YTd7IiIiIiIiIh3DZF5NsrOz8ccff8Dd3R3169dHly5dsHv3bqXbCoKAAwcOYPDgwWjcuDFcXFzQt29fHDhwQGHbuLg4rF69GgMHDkSLFi1Qv359uLu7Y8GCBYiPjy8wrkOHDqFjx44A3rWi5x3rrmyM/PHjx9GnTx80aNAArVu3xuLFi5GRkaHi2SAiIiIiIqLixG72ajJlyhSEhoaibdu20NPTw4kTJ7Bo0SIYGhpi4MCB4naCIGDatGnw8fGBg4MDevToASMjI1y+fBlz5szBo0ePMGPGDHH7oKAgbNu2Dc2bN0eDBg1gaGiIO3fuYO/evfDz84O3tzfKli2bb1zOzs4YMWIEduzYgTp16sDDw0NcZ2dnJ7ft7t27cenSJbi7u8PNzQ2XLl3Czp07kZiYiOXLl6vxbBEREREREdHHYDKvJrGxsfDx8YG5uTkAYMSIEejZsye2bt0ql8zv378fPj4+6N+/PxYuXAgDg3dVkJmZiYkTJ2Lr1q3o3r076tevDwBo3rw5/Pz8UKZMGbnj/fPPP5gxYwZ27dqFb7/9Nt+4nJ2dMXLkSOzYsQPOzs7iWHdlrly5goMHD6JmzZoAgMmTJ6N37944duwYpk+fjooVKxbt5BAREREREZFasZu9mkyZMkVM5AGgZs2aaNy4MZ48eYKUlBRx+a5du2BmZoYff/xRTOQBwMjISHzk3bFjx8Tl5cqVU0jkAaB3794wNzfHlStX1PYaRowYISbyAGBiYoIePXpAEASEhYWp7ThERERERET0cdgyryb16tVTWCZryX7z5g3Mzc2Rnp6O8PBw2NraYuPGjQrbZ2dnAwAeP34st/z06dPYt28fwsLCkJycjJycHHHdixcv1PYa6tatq7CsUqVKAIDk5GS1HYeIiIiIiIg+DpN5NVE2bl3W8i5LvpOTkyEIAuLi4rB27dp8y0pLSxP/3rp1K/7v//4PNjY2aNWqFSpVqgQTExMA757xnpWVVayvQV9fHwCQm5urtuMQERERERHRx2EyX4Jk3eXr1auHQ4cOFbh9dnY21q1bB1tbWxw+fBg2NjbiOkEQsHnz5mKLlYiIiIiIiLQXx8yXIHNzc9SqVQuPHz8uVLf1xMREvHnzBg0bNpRL5AHg1q1bhX5knKx1PW/3fCIiIiIiItJdTOZL2PDhw5Geno65c+fKdaeXiYyMRFRUFIB3k9+ZmJggLCwM6enp4javX7/G4sWLC31MCwsLSCQSxMbGfvwLICIiIiIiIo1jN/sSNnjwYNy8eRPe3t64fv06WrZsCVtbW8THx+Px48e4efMmli9fjqpVq0JPTw9Dhw7F1q1b0bt3b3To0AEpKSm4ePEi7OzsYGtrW6hjlilTBp999hmCgoIwa9YsVK9eHXp6eujRoweqVKlSzK+YiIiIiIiI1I3JfAmTSCRYunQp2rZti/379+P8+fNIS0uDjY0NqlevjhkzZqBFixbi9lOmTIGlpSW8vb2xZ88elC9fHt27d4eXlxd69uxZ6OMuW7YMS5YswZkzZ/DmzRsIggAXFxcm80REREREGiaJfwi9pAjkWlWDUK62psMhHSERBEHQdBDa7tChQ5g1axaWLFmCvn37ajocreLu7g4A8PX1Vbo+MTGxJMMhFVlbW7OOtFBqairs7e0BvBt6I5s8k7QLrx/txzrSbqwf7cb6KUZpCf/9nZ4EkzPzYRAdJC7KtnNFhsdCwNQKMLNR3P//Yx1pN1Xrx9raWuVjsGVeBbNmzcKsWbPQrVs3rFy5UtPhaMyzZ8/QuXNn8d92dnYajIaIiIiISItkKc6LlZf5+lbi34JEDzAqi/QeK5Fr1wR60cEw+Xc+yuzoCYmQixSv4HzLETKN5I9laPbRoZNuYTJfCM7OzvD09BT/7ejoqMFoNM/S0lLufCh7Pj0RERERUWlkvqZJobeVCLlI77QAOdKuAIAcaVe8FQSYHJtSYFnZAMzz/Dtlyt2ihEs6jMl8ITg7O8PZ2VnTYWgNKysreHl5aToMIiIiIiKdl2snn7DnVHXVUCSka5jMExERERERqcmHusYDiq3tetHBYss8AOhH/Td+/kNlWVlZISkpqWhB0ieByTwREREREZG6FDB2PWX8ZfFvk6OTYHz2J2QKAnKqukI/KghGvouRXbUpMnqs+mBZEqMygGGmuqImHcRknoiIiIiIqKTkmaE+o9dqmByfJo6RB4Ds6i2R0e03wFT12c2pdGEyT0REREREpAmm1sjot4XPmaciYTJPRERERESkQUK52shhEk8q0tN0AERERERERESkGibzRERERERERDqGyTwRERERERGRjmEyT0RERERERKRjmMwTERERERER6Rgm80REREREREQ6hsk8ERERERERkY5hMk9ERERERESkY5jMExEREREREekYJvNEREREREREOobJPBEREREREZGOYTJPREREREREpGOYzBMRERERERHpGCbzRERERERERDqGyTwRERERERGRjmEyT0RERERERKRjmMwTERERERER6Rgm80REREREREQ6hsk8ERERERERkY5hMk9ERERERESkY5jMExEREREREekYJvNEREREREREOobJPBEREREREZGOkQiCIGg6CCIiIiIiIiIqPLbMExEREREREekYJvNEREREREREOobJPBEREREREZGOYTJPREREREREpGOYzBMRERERERHpGCbzRERERERERDrGQNMBEJF6BAYGwtfXF7dv38adO3eQkpKCPn36YOnSpUq3DwoKwpkzZxAQEIDo6GikpaXBzs4OHTt2xLhx42BhYVHoY8+cORPe3t5K19WoUQMnT54s0mv6lKhaPwCQm5uLPXv2YN++fXj27BnMzMzQrFkzTJ48GQ4ODiod/+XLl1i1ahUuXLiA169fo0qVKujZsyfGjh0LIyOjj3x1n66oqCh07Njxg9vo6enh7t27hSrPyckp33VTp07F2LFjVYqP1H//uXTpEjZu3IiwsDAIgoD69etj7NixaNOmjTrCLXXS0tLw77//wtfXF/fu3UNMTAyMjIxQp04dDB48GD169FCpPF5DRRcaGoo1a9YgJCQEWVlZqF27NkaOHImePXsWugx1fi7Rf+Li4nDixAlcvHgRjx8/xqtXr2BpaYnGjRtjzJgxcHFxKVQ5/v7+GDFiRL7r9+3bh4YNG6op6tLF3d0d0dHRStcNGjQIixYtKlQ56r6GmMwTfSIOHjwIb29vmJqaonLlykhJSfng9pMmTUJiYiKaNGmC3r17QyKRICAgAJs3b8bp06fx119/oVy5cirFMGLECIUfAaytrVV+LZ8iVesHAObPn4+///4btWvXxrBhwxAfH4/jx4/j8uXL+Ouvv1C7du1CHfvly5cYOHAgYmJi4OHhAQcHBwQHB4tf6jZu3Ag9PXbUUsbCwgKenp5K192+fRvnz59H69atVSrTzs4Offr0UVjeuHHjIsVI76jj/nPkyBH88MMPsLa2Rp8+fSCRSHDixAmMGTMGv/76K3r16qXOkEuFoKAgTJ8+HVZWVmjRogU6d+6M+Ph4/Pvvv5g6dSpu3LiBefPmqVQmryHV+fv74+uvv4ahoSG6d++OsmXL4vTp05g2bRqio6Mxfvz4QpWjrs8lkrdz505s2rQJ1apVQ8uWLVGuXDk8e/YMZ86cwZkzZ7B8+XJ069at0OW5ubnBzc1NYXmlSpXUGXapU7ZsWYwcOVJhef369QtdhtqvIYGIPgmhoaFCeHi4kJ2dLdy4cUOQSqXCjBkz8t1+w4YNQlxcnNyy3NxcYf78+YJUKhUWLFhQ6GPPmDFDkEqlQmRkZJHj/9SpWj9Xr14VpFKpMHToUOHt27fi8itXrghOTk7Cl19+WehjT58+XZBKpcLu3bvFZbm5uWK9HThwoGgvqpQbN26cIJVKhVOnThV6H6lUKgwbNqwYoyp91HX/SUpKElxdXYVmzZoJz58/F5fHxcUJrVq1ElxdXYWkpKSPDbfUuXv3rnDkyBEhMzNTbvnLly+FDh06CFKpVLh582ahy+M1pLqsrCzBw8NDqF+/vhAWFiYuf/PmjdC9e3ehbt26wpMnTwosR52fSyTv1KlTQmBgoMLywMBAoV69eoKbm5vcOc/PtWvXBKlUKqxevbo4wizVOnToIHTo0OGjyiiOa4hNMUSfiM8++wyOjo7Q19cv1PZjx46Fra2t3DKJRIIJEyYAeNctnNRH1frZv38/AOD777+X6wbfokULtG7dGoGBgXjy5EmB5aSkpOD48eOwt7fHkCFDxOUSiQRTpkyBnp6eeCwqvLi4OFy8eBHlypVDhw4dNB0OqcHJkyeRnJyMYcOGoXLlyuJyW1tbjBgxAsnJyRwyVAR16tRBz549YWhoKLe8fPnyGDRoEAB+3hS3a9euISIiAj169EDdunXF5ebm5pgwYQKys7Nx6NChAstR1+cSKercuTNcXV0Vlru6uqJZs2ZISkrC/fv3NRAZqVNxXEPsZk9EcgwM3t0WCpt05nXhwgWkpqbCyMgITk5OcHNzK1I59K5LpJmZmdJuo61bt8alS5cQGBiIGjVqfLCckJAQZGZmomXLlpBIJHLrbG1tIZVKcfPmTbx9+xbGxsZqfQ2fMm9vb+Tk5KB3794KSUpBkpOTsX//fsTHx8PGxgZubm4ca6oGH3v/CQgIAAClwybatGmD5cuXIyAgQExA6eMV9fOG15BqPvTebtWqldw2H6KuzyVSjew6kf2/MJ4+fYodO3YgIyMDVapUQcuWLWFjY1NcIZYamZmZ8Pb2RlxcHCwsLNC4cWPUqVOn0PsXxzXEZJ6I5Bw8eBDAfx/wqnh/8g8HBwesWLEC9erVU0tspUVaWhpevnwJqVSq9Euu7Evr06dPCyzr2bNncvu8r3r16rh37x4iIyM51rGQBEEQr5P+/furvP+9e/cwd+5c8d8SiQQ9e/bEokWLYGpqqrY4S5uPvf/Irqfq1asrrJMtk11P9PFycnLwzz//QCKRoGXLlirty2tINR96b1taWsLa2rrA97Y6P5eo8J4/f44rV66gQoUKkEqlhd7Px8cHPj4+4r9NTEzg5eWFMWPGFEeYpcbLly8xc+ZMuWVt2rTBsmXLCvyxpLiuISbzRCS6e/cu/vjjD5QrV06lG37Tpk3h7u6OBg0awNraGlFRUdi3bx927dqFr776CkeOHEHFihWLMfJPy5s3bwC86wKpjGx5YSbRk5VVtmzZD5Yl244KFhAQgIiICDRp0gS1atVSad+vvvoKn3/+OapXrw6JRII7d+5g5cqVOHLkCHJycrBixYpiivrTpa77j+x6UnatmJmZQV9fn9eJGv3+++8IDw9Hv379VEpSeA2p7kPvbeDd50BsbOwHy1Dn5xIVTlZWFqZPn47MzExMmzatUD1YbGxsMH36dLRv3x5VqlRBcnIy/P398dtvv+HXX3+Fubk5Bg8eXALRf3r69u0LNzc31K5dG0ZGRnj06BHWrl2LixcvYsKECdi7d69CD8i8iusaYjJPpEVk46IKa8eOHWjWrJlajh0ZGYlx48aJX4ZU6Y7Vr18/uX/XqlULs2fPhqmpKdavX4/t27djxowZaolTkzRZP/Rx1Fl3Bw4cAFC0Vvn3r4PmzZtj+/bt6N27N44dO4Zvv/0Wjo6OKper6z6mfkrL/UfT1HkN7du3Dxs2bEDdunUxZ84cleLgNUSlQW5uLmbPno3AwEAMHDgQX3zxRaH2c3R0lHv/m5qaolevXqhTpw769u2LNWvWYODAgXyCTRG8/2QbFxcXbNiwAcOGDUNwcDAuXLiA9u3bl3hcTOaJtEiPHj2Qmppa6O3Lly+vluNGR0dj5MiRSEhIwJo1a9C8eXO1lNu/f3+sX78eN27cUEt5mlZS9SNrPcnv11nZ8vx+3VVWVn4tigW12Hwq1FV3ycnJOH36NMzNzfH555+rJTZTU1N0794d69atw/Xr10tlIlIc15aq95+8vVTef6RdWloacnJyPvnr5EPUVUcHDx7E/PnzIZVKsXXrVpQpU+ajY+M19GEF9cBKSUkp8L2tzs8l+jBBEDB37lwcOXIEvXr1wsKFCz+6TKlUChcXFwQFBeHZs2ec10BN9PT00LdvXwQHB+P69esfTOaL6xpiMk+kRVR91q46REVFYcSIEXjx4gVWrVql1pm5ZV+I09PT1VamJpVU/ZiZmaFChQqIiopCTk6OQtc62Xiqwkz4JBsjmd8YrGfPnkFPTw/29vYfE7LWU1fdHT16FBkZGRg0aJBax+Z+ateKqorj2lL1nDo4OOD27dt49uyZQjIvG0+sbMxxaaGOOjpw4ADmzZuH2rVr488//1Q4zx+jtF9DHyL7rHj27JnC87Bfv36NxMRENGrU6INlqPNzifKXm5uLOXPm4NChQ+jRoweWLl2qtlZ02TWSkZGhlvLoncLee4rrGmIfC6JSLG8iv3LlSnh4eKi1/Js3bwIA7Ozs1FpuaeDm5oa0tDRcv35dYZ2fnx+Ad2OFC9KwYUMYGRnhypUrEARBbt2LFy8QHh4OFxcXzmRfSLKJ7wYMGKDWcmXXStWqVdVabmmm6v1Hdj3Jrq+8Ll26BODddUlFc+DAAcydOxc1a9bEn3/+qfaZtXkN5e9D7+3Lly8DKNx7W12fS6Rc3kS+W7duWLZsmdqeCJSdnY07d+5AIpHIPXqTPl5oaCiAwn3WFMc1xGSeqJSSJfJxcXFYsWIFOnXqVOA+ERERePToEbKyssRlL1++REREhMK2cXFxWLx4MYB33TNJNQMHDgQArFq1CpmZmeLyq1evws/PD02bNlXoJqesfszNzdGtWzdERkZi79694nJBELBixQrk5uaqPTH9VN29exdhYWFwcnLCZ599lu926enpePToEZ4/fy63/M6dO0p/uT9x4gSOHTsGa2trtGjRQu1xf8qKcv/Jr34+//xzlC1bFrt27UJMTIy4/MWLF9ixYwcsLCzQtWvXYngVn779+/fLJfLlypX74Pa8htSrRYsWsLe3h4+PD+7evSsuT0lJwbp162BgYIA+ffqIyxMSEvDo0SMkJCTIlVOUzyUqnLyJfNeuXfHrr79+MJHPr45u3Lih8MN9dnY2li1bhujoaLRu3RpWVlbF8RI+aQ8fPkRycrLC8qCgIGzbtg1GRkbo3LmzuLwkryGJ8H6NE5FOCgoKEifmSkhIwIULF1CtWjU0adIEAFCzZk2MHTtW3N7d3R3R0dFo2LCh0mfPAoCXl5fcv2X7nD17Vmz98Pf3x8iRI9GkSRPUrFkTlpaWiI6Oxvnz55GWloY+ffpgyZIlH5zhszRQtX4AYO7cudi/fz9q166Ndu3aIT4+HsePH4exsTH++usvhUfJKasf4F0yMnDgQMTGxqJTp05wcHBAUFAQrl+/jtatW2PTpk2cDKcQfvrpJ+zatQtz587F8OHD893O398fI0aMgJubG3bu3CkunzlzJs6cOYMWLVqgcuXKEAQBd+7cQVBQEIyNjbFmzRq0a9euJF7KJ6Mo95/86gcADh8+jOnTp8Pa2hrdu3eHRCLBiRMn8OrVKyxbtgy9e/cu6Zeo865evYrRo0dDEAQMGjQIFSpUUNjG2dlZrmcYryH1u3btGsaMGQNDQ0P06NED5ubmOH36NKKiovD999/j22+/Fbdds2YN1q5dC09PT4XvAap+LlHhyM65mZkZRowYofSZ8h4eHnB2dpbb/v06cnd3BwA0atQIFStWxJs3bxAYGIgnT56gSpUq2LVrF3tLFsGaNWuwefNmtGjRAnZ2djAyMkJ4eDguX74MPT09LFy4UK5hpCSvIY6ZJ/pEREREwNvbW2GZrNXKzc1NLlmMjo4GAISEhCAkJERpme/fgJSpVq0a+vfvj9DQUJw6dQqpqakwNzdHo0aN0L9/f3Tr1q2Ir+jTomr9AO+em+3k5IR9+/Zh586dMDMzQ4cOHTB58mSVfrm1tbXF33//jVWrVuHChQs4d+4cqlSpAi8vL4wdO5aJfCG8ffsWR48ehZGREXr16lWkMjp27Ijk5GSEhYXh0qVLyM7ORsWKFdG/f3989dVXKj/mjtR//+nduzesra2xceNGHDp0CABQr149LF26FG3atCmOl/DJi4mJEVsK9+3bp3SbPn36FGqYF6+homvevDn27NmD1atX48SJE8jKykLt2rUxadIkle5p6vpcInmy72RpaWlYv3690m3s7OzEZD4/gwcPxqVLlxAQEIDExEQYGBigWrVqGD9+PL766itYWlqqPfbSoFmzZnj06BHu3LmDgIAAZGZmoly5cujWrRtGjRqFBg0aFLosdV9DbJknIiIiIiIi0jFsjiEiIiIiIiLSMUzmiYiIiIiIiHQMk3kiIiIiIiIiHcNknoiIiIiIiEjHMJknIiIiIiIi0jFM5omI/l/7dUACAAAAIOj/63YE+kIAAJiReQAAAJiReQAAAJiReQAAAJiReQAAAJiReQAAAJiReQAAAJgJnHXUxNxFDx4AAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3074,7 +3267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 405,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -3114,147 +3307,147 @@
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.484</td>\n",
-       "      <td>0.051</td>\n",
+       "      <td>-0.482</td>\n",
+       "      <td>0.052</td>\n",
        "      <td>-0.578</td>\n",
-       "      <td>-0.386</td>\n",
+       "      <td>-0.385</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>5896.0</td>\n",
-       "      <td>3268.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3920.0</td>\n",
+       "      <td>2614.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.858</td>\n",
-       "      <td>0.255</td>\n",
-       "      <td>-10.333</td>\n",
-       "      <td>-9.374</td>\n",
+       "      <td>-9.848</td>\n",
+       "      <td>0.256</td>\n",
+       "      <td>-10.326</td>\n",
+       "      <td>-9.377</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5167.0</td>\n",
-       "      <td>2725.0</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>4973.0</td>\n",
+       "      <td>2829.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-13.677</td>\n",
-       "      <td>0.209</td>\n",
-       "      <td>-14.074</td>\n",
-       "      <td>-13.284</td>\n",
+       "      <td>-13.664</td>\n",
+       "      <td>0.212</td>\n",
+       "      <td>-14.053</td>\n",
+       "      <td>-13.269</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>2530.0</td>\n",
-       "      <td>2940.0</td>\n",
+       "      <td>2595.0</td>\n",
+       "      <td>2645.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[temperature]</th>\n",
-       "      <td>4.097</td>\n",
-       "      <td>0.133</td>\n",
-       "      <td>3.851</td>\n",
-       "      <td>4.350</td>\n",
+       "      <td>4.099</td>\n",
+       "      <td>0.139</td>\n",
+       "      <td>3.837</td>\n",
+       "      <td>4.358</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>4341.0</td>\n",
-       "      <td>3140.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3181.0</td>\n",
+       "      <td>2964.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[health]</th>\n",
-       "      <td>2.215</td>\n",
-       "      <td>0.190</td>\n",
-       "      <td>1.852</td>\n",
-       "      <td>2.564</td>\n",
+       "      <td>2.207</td>\n",
+       "      <td>0.191</td>\n",
+       "      <td>1.870</td>\n",
+       "      <td>2.594</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>3623.0</td>\n",
-       "      <td>3022.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3133.0</td>\n",
+       "      <td>2817.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.135</td>\n",
-       "      <td>1.018</td>\n",
-       "      <td>-1.820</td>\n",
-       "      <td>2.017</td>\n",
-       "      <td>0.021</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>2427.0</td>\n",
-       "      <td>2684.0</td>\n",
+       "      <td>0.141</td>\n",
+       "      <td>1.036</td>\n",
+       "      <td>-1.745</td>\n",
+       "      <td>2.193</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>1935.0</td>\n",
+       "      <td>2047.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>39.373</td>\n",
-       "      <td>0.427</td>\n",
-       "      <td>38.610</td>\n",
-       "      <td>40.208</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>2200.0</td>\n",
-       "      <td>2843.0</td>\n",
+       "      <td>39.362</td>\n",
+       "      <td>0.432</td>\n",
+       "      <td>38.535</td>\n",
+       "      <td>40.183</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>1758.0</td>\n",
+       "      <td>2109.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.398</td>\n",
-       "      <td>0.229</td>\n",
-       "      <td>-10.832</td>\n",
-       "      <td>-9.986</td>\n",
+       "      <td>-9.843</td>\n",
+       "      <td>0.257</td>\n",
+       "      <td>-10.321</td>\n",
+       "      <td>-9.351</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6723.0</td>\n",
-       "      <td>3033.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>7987.0</td>\n",
+       "      <td>5433.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-13.447</td>\n",
-       "      <td>0.187</td>\n",
-       "      <td>-13.793</td>\n",
-       "      <td>-13.095</td>\n",
+       "      <td>-13.618</td>\n",
+       "      <td>0.210</td>\n",
+       "      <td>-14.010</td>\n",
+       "      <td>-13.228</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5272.0</td>\n",
-       "      <td>2979.0</td>\n",
+       "      <td>5038.0</td>\n",
+       "      <td>5398.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[temperature]</th>\n",
-       "      <td>3.901</td>\n",
-       "      <td>0.128</td>\n",
-       "      <td>3.646</td>\n",
-       "      <td>4.123</td>\n",
+       "      <td>4.077</td>\n",
+       "      <td>0.131</td>\n",
+       "      <td>3.838</td>\n",
+       "      <td>4.323</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>5338.0</td>\n",
-       "      <td>3739.0</td>\n",
+       "      <td>6879.0</td>\n",
+       "      <td>5762.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[health]</th>\n",
-       "      <td>2.703</td>\n",
-       "      <td>0.185</td>\n",
-       "      <td>2.373</td>\n",
-       "      <td>3.080</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>2.212</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>1.845</td>\n",
+       "      <td>2.569</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5622.0</td>\n",
-       "      <td>2865.0</td>\n",
+       "      <td>5534.0</td>\n",
+       "      <td>5543.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>41.255</td>\n",
-       "      <td>0.294</td>\n",
-       "      <td>40.688</td>\n",
-       "      <td>41.772</td>\n",
+       "      <td>39.527</td>\n",
+       "      <td>0.422</td>\n",
+       "      <td>38.755</td>\n",
+       "      <td>40.319</td>\n",
+       "      <td>0.007</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>3495.0</td>\n",
-       "      <td>3168.0</td>\n",
+       "      <td>4161.0</td>\n",
+       "      <td>4095.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3263,35 +3456,35 @@
       ],
       "text/plain": [
        "                                    mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt           -0.484  0.051  -0.578   -0.386      0.001   \n",
-       "              beta_[trt]          -9.858  0.255 -10.333   -9.374      0.004   \n",
-       "              beta_[income]      -13.677  0.209 -14.074  -13.284      0.004   \n",
-       "              beta_[temperature]   4.097  0.133   3.851    4.350      0.002   \n",
-       "              beta_[health]        2.215  0.190   1.852    2.564      0.003   \n",
-       "              beta_ps              0.135  1.018  -1.820    2.017      0.021   \n",
-       "              alpha_outcome       39.373  0.427  38.610   40.208      0.009   \n",
-       "2-stage-model beta_[trt]         -10.398  0.229 -10.832   -9.986      0.003   \n",
-       "              beta_[income]      -13.447  0.187 -13.793  -13.095      0.003   \n",
-       "              beta_[temperature]   3.901  0.128   3.646    4.123      0.002   \n",
-       "              beta_[health]        2.703  0.185   2.373    3.080      0.002   \n",
-       "              alpha_outcome       41.255  0.294  40.688   41.772      0.005   \n",
+       "1-stage-model alpha_trt           -0.482  0.052  -0.578   -0.385      0.001   \n",
+       "              beta_[trt]          -9.848  0.256 -10.326   -9.377      0.004   \n",
+       "              beta_[income]      -13.664  0.212 -14.053  -13.269      0.004   \n",
+       "              beta_[temperature]   4.099  0.139   3.837    4.358      0.002   \n",
+       "              beta_[health]        2.207  0.191   1.870    2.594      0.003   \n",
+       "              beta_ps              0.141  1.036  -1.745    2.193      0.024   \n",
+       "              alpha_outcome       39.362  0.432  38.535   40.183      0.010   \n",
+       "2-stage-model beta_[trt]          -9.843  0.257 -10.321   -9.351      0.003   \n",
+       "              beta_[income]      -13.618  0.210 -14.010  -13.228      0.003   \n",
+       "              beta_[temperature]   4.077  0.131   3.838    4.323      0.002   \n",
+       "              beta_[health]        2.212  0.192   1.845    2.569      0.003   \n",
+       "              alpha_outcome       39.527  0.422  38.755   40.319      0.007   \n",
        "\n",
        "                                  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt             0.000    5896.0    3268.0    1.0  \n",
-       "              beta_[trt]            0.003    5167.0    2725.0    1.0  \n",
-       "              beta_[income]         0.003    2530.0    2940.0    1.0  \n",
-       "              beta_[temperature]    0.001    4341.0    3140.0    1.0  \n",
-       "              beta_[health]         0.002    3623.0    3022.0    1.0  \n",
-       "              beta_ps               0.015    2427.0    2684.0    1.0  \n",
-       "              alpha_outcome         0.006    2200.0    2843.0    1.0  \n",
-       "2-stage-model beta_[trt]            0.002    6723.0    3033.0    1.0  \n",
-       "              beta_[income]         0.002    5272.0    2979.0    1.0  \n",
-       "              beta_[temperature]    0.001    5338.0    3739.0    1.0  \n",
-       "              beta_[health]         0.002    5622.0    2865.0    1.0  \n",
-       "              alpha_outcome         0.004    3495.0    3168.0    1.0  "
+       "1-stage-model alpha_trt             0.001    3920.0    2614.0    1.0  \n",
+       "              beta_[trt]            0.004    4973.0    2829.0    1.0  \n",
+       "              beta_[income]         0.003    2595.0    2645.0    1.0  \n",
+       "              beta_[temperature]    0.002    3181.0    2964.0    1.0  \n",
+       "              beta_[health]         0.003    3133.0    2817.0    1.0  \n",
+       "              beta_ps               0.016    1935.0    2047.0    1.0  \n",
+       "              alpha_outcome         0.007    1758.0    2109.0    1.0  \n",
+       "2-stage-model beta_[trt]            0.003    7987.0    5433.0    1.0  \n",
+       "              beta_[income]         0.002    5038.0    5398.0    1.0  \n",
+       "              beta_[temperature]    0.001    6879.0    5762.0    1.0  \n",
+       "              beta_[health]         0.002    5534.0    5543.0    1.0  \n",
+       "              alpha_outcome         0.005    4161.0    4095.0    1.0  "
       ]
      },
-     "execution_count": 405,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3328,7 +3521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 409,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -3462,7 +3655,7 @@
        "4    289.7899   False  False  "
       ]
      },
-     "execution_count": 409,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3476,7 +3669,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 411,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -3488,7 +3681,7 @@
        "Name: re78, dtype: float64"
       ]
      },
-     "execution_count": 411,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3506,54 +3699,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 415,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n"
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_, beta_, beta_ps, alpha_trt, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2437534575f644d0b2dcd919c510ea71",
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-       "model_id": "f70813f389404728aee74eb0fa856276",
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-    },
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-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d1a973682f4c4ea78846c6dcb544add3",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
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+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
@@ -3561,14 +3732,10 @@
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "063ba3e7809e4542b6ee831ef2515fee",
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+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
      },
      "metadata": {},
      "output_type": "display_data"
@@ -3577,39 +3744,32 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 18 seconds.\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
-      "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, alpha_trt]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_trt_std, alpha_trt]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "549ae49d384448e0ba61537071e59479",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -3624,25 +3784,25 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps_spline, beta_std, like, sigma]\n",
-      "Auto-assigning NUTS sampler...\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps_spline, alpha_outcome, sigma]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f732115d0fd548c3a0c8d6ba6249aa30",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
@@ -3652,8 +3812,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
     {
@@ -3670,7 +3830,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
      ]
     }
    ],
@@ -3703,6 +3863,7 @@
     "    \"beta_trt\": [0, 1],\n",
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [2000, 500],\n",
+    "    \"sigma\": 1000,\n",
     "}\n",
     "\n",
     "lalonde_model = make_model(\n",
@@ -3710,7 +3871,7 @@
     ")\n",
     "\n",
     "with lalonde_model:\n",
-    "    idata_lalonde = pm.sample(tune=5000, nuts_sampler=\"numpyro\")\n",
+    "    idata_lalonde = pm.sample(tune=5000)\n",
     "\n",
     "(\n",
     "    idata_treatment_2s_lalonde,\n",
@@ -3722,12 +3883,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 419,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3750,7 +3911,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 416,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -3788,221 +3949,245 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"10\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"11\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.355</td>\n",
-       "      <td>0.139</td>\n",
-       "      <td>-1.605</td>\n",
-       "      <td>-1.091</td>\n",
+       "      <td>-1.356</td>\n",
+       "      <td>0.134</td>\n",
+       "      <td>-1.606</td>\n",
+       "      <td>-1.098</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>3330.0</td>\n",
-       "      <td>2698.0</td>\n",
+       "      <td>4757.0</td>\n",
+       "      <td>3008.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1149.719</td>\n",
-       "      <td>47.432</td>\n",
-       "      <td>1065.331</td>\n",
-       "      <td>1242.215</td>\n",
-       "      <td>0.860</td>\n",
-       "      <td>0.608</td>\n",
-       "      <td>3040.0</td>\n",
-       "      <td>3062.0</td>\n",
+       "      <td>1149.665</td>\n",
+       "      <td>47.664</td>\n",
+       "      <td>1062.478</td>\n",
+       "      <td>1238.637</td>\n",
+       "      <td>0.745</td>\n",
+       "      <td>0.651</td>\n",
+       "      <td>4089.0</td>\n",
+       "      <td>3363.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>53.667</td>\n",
-       "      <td>1.922</td>\n",
-       "      <td>50.150</td>\n",
-       "      <td>57.373</td>\n",
+       "      <td>53.686</td>\n",
+       "      <td>1.904</td>\n",
+       "      <td>50.176</td>\n",
+       "      <td>57.363</td>\n",
+       "      <td>0.027</td>\n",
        "      <td>0.033</td>\n",
-       "      <td>0.024</td>\n",
-       "      <td>3329.0</td>\n",
-       "      <td>2843.0</td>\n",
+       "      <td>4856.0</td>\n",
+       "      <td>2549.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>505.114</td>\n",
-       "      <td>9.162</td>\n",
-       "      <td>487.609</td>\n",
-       "      <td>522.057</td>\n",
-       "      <td>0.214</td>\n",
-       "      <td>0.151</td>\n",
-       "      <td>1840.0</td>\n",
-       "      <td>2486.0</td>\n",
+       "      <td>505.357</td>\n",
+       "      <td>9.270</td>\n",
+       "      <td>488.622</td>\n",
+       "      <td>522.969</td>\n",
+       "      <td>0.170</td>\n",
+       "      <td>0.124</td>\n",
+       "      <td>2994.0</td>\n",
+       "      <td>3271.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>2135.908</td>\n",
-       "      <td>61.219</td>\n",
-       "      <td>2018.786</td>\n",
-       "      <td>2249.659</td>\n",
-       "      <td>1.063</td>\n",
-       "      <td>0.752</td>\n",
-       "      <td>3308.0</td>\n",
-       "      <td>3127.0</td>\n",
+       "      <td>2134.629</td>\n",
+       "      <td>60.840</td>\n",
+       "      <td>2026.959</td>\n",
+       "      <td>2256.010</td>\n",
+       "      <td>0.976</td>\n",
+       "      <td>0.893</td>\n",
+       "      <td>3897.0</td>\n",
+       "      <td>3167.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1516.877</td>\n",
-       "      <td>46.940</td>\n",
-       "      <td>1434.939</td>\n",
-       "      <td>1606.563</td>\n",
-       "      <td>0.894</td>\n",
-       "      <td>0.632</td>\n",
-       "      <td>2753.0</td>\n",
-       "      <td>2722.0</td>\n",
+       "      <td>1518.720</td>\n",
+       "      <td>46.575</td>\n",
+       "      <td>1431.052</td>\n",
+       "      <td>1603.345</td>\n",
+       "      <td>0.777</td>\n",
+       "      <td>0.700</td>\n",
+       "      <td>3610.0</td>\n",
+       "      <td>2969.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2134.419</td>\n",
-       "      <td>40.375</td>\n",
-       "      <td>2057.024</td>\n",
-       "      <td>2207.299</td>\n",
-       "      <td>0.703</td>\n",
-       "      <td>0.497</td>\n",
-       "      <td>3310.0</td>\n",
-       "      <td>2565.0</td>\n",
+       "      <td>2134.526</td>\n",
+       "      <td>39.122</td>\n",
+       "      <td>2061.917</td>\n",
+       "      <td>2207.717</td>\n",
+       "      <td>0.568</td>\n",
+       "      <td>0.595</td>\n",
+       "      <td>4742.0</td>\n",
+       "      <td>3058.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-130.674</td>\n",
-       "      <td>49.781</td>\n",
-       "      <td>-224.402</td>\n",
-       "      <td>-38.994</td>\n",
-       "      <td>1.108</td>\n",
-       "      <td>0.792</td>\n",
-       "      <td>2021.0</td>\n",
-       "      <td>2664.0</td>\n",
+       "      <td>-128.850</td>\n",
+       "      <td>50.313</td>\n",
+       "      <td>-221.847</td>\n",
+       "      <td>-31.139</td>\n",
+       "      <td>0.881</td>\n",
+       "      <td>0.668</td>\n",
+       "      <td>3277.0</td>\n",
+       "      <td>3122.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.044</td>\n",
-       "      <td>1.001</td>\n",
-       "      <td>-1.934</td>\n",
-       "      <td>1.807</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>4589.0</td>\n",
-       "      <td>2672.0</td>\n",
+       "      <td>0.029</td>\n",
+       "      <td>0.996</td>\n",
+       "      <td>-1.874</td>\n",
+       "      <td>1.861</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.020</td>\n",
+       "      <td>6824.0</td>\n",
+       "      <td>2648.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>-1997.598</td>\n",
-       "      <td>142.574</td>\n",
-       "      <td>-2257.739</td>\n",
-       "      <td>-1732.050</td>\n",
-       "      <td>3.485</td>\n",
-       "      <td>2.465</td>\n",
-       "      <td>1674.0</td>\n",
-       "      <td>2349.0</td>\n",
+       "      <td>-2002.387</td>\n",
+       "      <td>141.365</td>\n",
+       "      <td>-2272.877</td>\n",
+       "      <td>-1748.521</td>\n",
+       "      <td>2.687</td>\n",
+       "      <td>2.095</td>\n",
+       "      <td>2776.0</td>\n",
+       "      <td>2631.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"8\" valign=\"top\">2-stage-model</th>\n",
+       "      <th>sigma</th>\n",
+       "      <td>421.901</td>\n",
+       "      <td>0.498</td>\n",
+       "      <td>421.013</td>\n",
+       "      <td>422.858</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>6588.0</td>\n",
+       "      <td>2729.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"9\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1150.944</td>\n",
-       "      <td>47.697</td>\n",
-       "      <td>1054.922</td>\n",
-       "      <td>1234.678</td>\n",
-       "      <td>0.701</td>\n",
-       "      <td>0.496</td>\n",
-       "      <td>4614.0</td>\n",
-       "      <td>3288.0</td>\n",
+       "      <td>982.737</td>\n",
+       "      <td>432.534</td>\n",
+       "      <td>151.694</td>\n",
+       "      <td>1784.738</td>\n",
+       "      <td>5.322</td>\n",
+       "      <td>4.525</td>\n",
+       "      <td>6602.0</td>\n",
+       "      <td>5864.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>53.679</td>\n",
-       "      <td>1.943</td>\n",
-       "      <td>49.861</td>\n",
-       "      <td>57.123</td>\n",
-       "      <td>0.028</td>\n",
-       "      <td>0.020</td>\n",
-       "      <td>4690.0</td>\n",
-       "      <td>2976.0</td>\n",
+       "      <td>31.638</td>\n",
+       "      <td>15.137</td>\n",
+       "      <td>1.777</td>\n",
+       "      <td>58.872</td>\n",
+       "      <td>0.172</td>\n",
+       "      <td>0.161</td>\n",
+       "      <td>7782.0</td>\n",
+       "      <td>6179.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>505.201</td>\n",
-       "      <td>9.355</td>\n",
-       "      <td>487.661</td>\n",
-       "      <td>522.066</td>\n",
-       "      <td>0.191</td>\n",
-       "      <td>0.135</td>\n",
-       "      <td>2411.0</td>\n",
-       "      <td>2964.0</td>\n",
+       "      <td>305.380</td>\n",
+       "      <td>47.647</td>\n",
+       "      <td>214.204</td>\n",
+       "      <td>392.922</td>\n",
+       "      <td>0.583</td>\n",
+       "      <td>0.495</td>\n",
+       "      <td>6676.0</td>\n",
+       "      <td>6020.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>2136.087</td>\n",
-       "      <td>61.713</td>\n",
-       "      <td>2032.252</td>\n",
-       "      <td>2262.126</td>\n",
-       "      <td>0.892</td>\n",
-       "      <td>0.631</td>\n",
-       "      <td>4827.0</td>\n",
-       "      <td>2604.0</td>\n",
+       "      <td>1722.886</td>\n",
+       "      <td>548.324</td>\n",
+       "      <td>688.310</td>\n",
+       "      <td>2736.441</td>\n",
+       "      <td>6.220</td>\n",
+       "      <td>5.738</td>\n",
+       "      <td>7784.0</td>\n",
+       "      <td>5739.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1518.493</td>\n",
-       "      <td>46.967</td>\n",
-       "      <td>1437.026</td>\n",
-       "      <td>1609.413</td>\n",
-       "      <td>0.739</td>\n",
-       "      <td>0.523</td>\n",
-       "      <td>4050.0</td>\n",
-       "      <td>2945.0</td>\n",
+       "      <td>1305.426</td>\n",
+       "      <td>415.246</td>\n",
+       "      <td>528.163</td>\n",
+       "      <td>2075.234</td>\n",
+       "      <td>5.071</td>\n",
+       "      <td>4.386</td>\n",
+       "      <td>6708.0</td>\n",
+       "      <td>5980.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2134.947</td>\n",
-       "      <td>41.064</td>\n",
-       "      <td>2059.841</td>\n",
-       "      <td>2215.577</td>\n",
-       "      <td>0.508</td>\n",
-       "      <td>0.359</td>\n",
-       "      <td>6524.0</td>\n",
-       "      <td>2973.0</td>\n",
+       "      <td>2105.549</td>\n",
+       "      <td>356.780</td>\n",
+       "      <td>1421.461</td>\n",
+       "      <td>2753.465</td>\n",
+       "      <td>3.982</td>\n",
+       "      <td>3.709</td>\n",
+       "      <td>8016.0</td>\n",
+       "      <td>6347.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-130.579</td>\n",
-       "      <td>50.495</td>\n",
-       "      <td>-226.073</td>\n",
-       "      <td>-36.906</td>\n",
-       "      <td>0.975</td>\n",
-       "      <td>0.689</td>\n",
-       "      <td>2686.0</td>\n",
-       "      <td>2933.0</td>\n",
+       "      <td>-1036.309</td>\n",
+       "      <td>329.961</td>\n",
+       "      <td>-1635.165</td>\n",
+       "      <td>-394.982</td>\n",
+       "      <td>3.855</td>\n",
+       "      <td>3.469</td>\n",
+       "      <td>7333.0</td>\n",
+       "      <td>6021.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>-2000.090</td>\n",
-       "      <td>144.644</td>\n",
-       "      <td>-2259.261</td>\n",
-       "      <td>-1721.027</td>\n",
-       "      <td>3.081</td>\n",
-       "      <td>2.182</td>\n",
-       "      <td>2206.0</td>\n",
-       "      <td>2622.0</td>\n",
+       "      <td>1487.513</td>\n",
+       "      <td>463.684</td>\n",
+       "      <td>644.577</td>\n",
+       "      <td>2367.598</td>\n",
+       "      <td>5.358</td>\n",
+       "      <td>4.881</td>\n",
+       "      <td>7492.0</td>\n",
+       "      <td>5674.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>3884.807</td>\n",
+       "      <td>45.999</td>\n",
+       "      <td>3797.858</td>\n",
+       "      <td>3971.227</td>\n",
+       "      <td>0.495</td>\n",
+       "      <td>0.579</td>\n",
+       "      <td>8665.0</td>\n",
+       "      <td>5243.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4011,47 +4196,51 @@
       ],
       "text/plain": [
        "                                   mean       sd    hdi_3%   hdi_97%  \\\n",
-       "1-stage-model alpha_trt          -1.355    0.139    -1.605    -1.091   \n",
-       "              beta_[treat]     1149.719   47.432  1065.331  1242.215   \n",
-       "              beta_[age]         53.667    1.922    50.150    57.373   \n",
-       "              beta_[educ]       505.114    9.162   487.609   522.057   \n",
-       "              beta_[hispan]    2135.908   61.219  2018.786  2249.659   \n",
-       "              beta_[white]     1516.877   46.940  1434.939  1606.563   \n",
-       "              beta_[married]   2134.419   40.375  2057.024  2207.299   \n",
-       "              beta_[nodegree]  -130.674   49.781  -224.402   -38.994   \n",
-       "              beta_ps             0.044    1.001    -1.934     1.807   \n",
-       "              alpha_outcome   -1997.598  142.574 -2257.739 -1732.050   \n",
-       "2-stage-model beta_[treat]     1150.944   47.697  1054.922  1234.678   \n",
-       "              beta_[age]         53.679    1.943    49.861    57.123   \n",
-       "              beta_[educ]       505.201    9.355   487.661   522.066   \n",
-       "              beta_[hispan]    2136.087   61.713  2032.252  2262.126   \n",
-       "              beta_[white]     1518.493   46.967  1437.026  1609.413   \n",
-       "              beta_[married]   2134.947   41.064  2059.841  2215.577   \n",
-       "              beta_[nodegree]  -130.579   50.495  -226.073   -36.906   \n",
-       "              alpha_outcome   -2000.090  144.644 -2259.261 -1721.027   \n",
+       "1-stage-model alpha_trt          -1.356    0.134    -1.606    -1.098   \n",
+       "              beta_[treat]     1149.665   47.664  1062.478  1238.637   \n",
+       "              beta_[age]         53.686    1.904    50.176    57.363   \n",
+       "              beta_[educ]       505.357    9.270   488.622   522.969   \n",
+       "              beta_[hispan]    2134.629   60.840  2026.959  2256.010   \n",
+       "              beta_[white]     1518.720   46.575  1431.052  1603.345   \n",
+       "              beta_[married]   2134.526   39.122  2061.917  2207.717   \n",
+       "              beta_[nodegree]  -128.850   50.313  -221.847   -31.139   \n",
+       "              beta_ps             0.029    0.996    -1.874     1.861   \n",
+       "              alpha_outcome   -2002.387  141.365 -2272.877 -1748.521   \n",
+       "              sigma             421.901    0.498   421.013   422.858   \n",
+       "2-stage-model beta_[treat]      982.737  432.534   151.694  1784.738   \n",
+       "              beta_[age]         31.638   15.137     1.777    58.872   \n",
+       "              beta_[educ]       305.380   47.647   214.204   392.922   \n",
+       "              beta_[hispan]    1722.886  548.324   688.310  2736.441   \n",
+       "              beta_[white]     1305.426  415.246   528.163  2075.234   \n",
+       "              beta_[married]   2105.549  356.780  1421.461  2753.465   \n",
+       "              beta_[nodegree] -1036.309  329.961 -1635.165  -394.982   \n",
+       "              alpha_outcome    1487.513  463.684   644.577  2367.598   \n",
+       "              sigma            3884.807   45.999  3797.858  3971.227   \n",
        "\n",
        "                               mcse_mean  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt            0.002    0.002    3330.0    2698.0    1.0  \n",
-       "              beta_[treat]         0.860    0.608    3040.0    3062.0    1.0  \n",
-       "              beta_[age]           0.033    0.024    3329.0    2843.0    1.0  \n",
-       "              beta_[educ]          0.214    0.151    1840.0    2486.0    1.0  \n",
-       "              beta_[hispan]        1.063    0.752    3308.0    3127.0    1.0  \n",
-       "              beta_[white]         0.894    0.632    2753.0    2722.0    1.0  \n",
-       "              beta_[married]       0.703    0.497    3310.0    2565.0    1.0  \n",
-       "              beta_[nodegree]      1.108    0.792    2021.0    2664.0    1.0  \n",
-       "              beta_ps              0.015    0.016    4589.0    2672.0    1.0  \n",
-       "              alpha_outcome        3.485    2.465    1674.0    2349.0    1.0  \n",
-       "2-stage-model beta_[treat]         0.701    0.496    4614.0    3288.0    1.0  \n",
-       "              beta_[age]           0.028    0.020    4690.0    2976.0    1.0  \n",
-       "              beta_[educ]          0.191    0.135    2411.0    2964.0    1.0  \n",
-       "              beta_[hispan]        0.892    0.631    4827.0    2604.0    1.0  \n",
-       "              beta_[white]         0.739    0.523    4050.0    2945.0    1.0  \n",
-       "              beta_[married]       0.508    0.359    6524.0    2973.0    1.0  \n",
-       "              beta_[nodegree]      0.975    0.689    2686.0    2933.0    1.0  \n",
-       "              alpha_outcome        3.081    2.182    2206.0    2622.0    1.0  "
+       "1-stage-model alpha_trt            0.002    0.002    4757.0    3008.0    1.0  \n",
+       "              beta_[treat]         0.745    0.651    4089.0    3363.0    1.0  \n",
+       "              beta_[age]           0.027    0.033    4856.0    2549.0    1.0  \n",
+       "              beta_[educ]          0.170    0.124    2994.0    3271.0    1.0  \n",
+       "              beta_[hispan]        0.976    0.893    3897.0    3167.0    1.0  \n",
+       "              beta_[white]         0.777    0.700    3610.0    2969.0    1.0  \n",
+       "              beta_[married]       0.568    0.595    4742.0    3058.0    1.0  \n",
+       "              beta_[nodegree]      0.881    0.668    3277.0    3122.0    1.0  \n",
+       "              beta_ps              0.012    0.020    6824.0    2648.0    1.0  \n",
+       "              alpha_outcome        2.687    2.095    2776.0    2631.0    1.0  \n",
+       "              sigma                0.006    0.008    6588.0    2729.0    1.0  \n",
+       "2-stage-model beta_[treat]         5.322    4.525    6602.0    5864.0    1.0  \n",
+       "              beta_[age]           0.172    0.161    7782.0    6179.0    1.0  \n",
+       "              beta_[educ]          0.583    0.495    6676.0    6020.0    1.0  \n",
+       "              beta_[hispan]        6.220    5.738    7784.0    5739.0    1.0  \n",
+       "              beta_[white]         5.071    4.386    6708.0    5980.0    1.0  \n",
+       "              beta_[married]       3.982    3.709    8016.0    6347.0    1.0  \n",
+       "              beta_[nodegree]      3.855    3.469    7333.0    6021.0    1.0  \n",
+       "              alpha_outcome        5.358    4.881    7492.0    5674.0    1.0  \n",
+       "              sigma                0.495    0.579    8665.0    5243.0    1.0  "
       ]
      },
-     "execution_count": 416,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4060,10 +4249,11 @@
     "compare_estimate = pd.concat(\n",
     "    {\n",
     "        \"1-stage-model\": az.summary(\n",
-    "            idata_lalonde, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "            idata_lalonde,\n",
+    "            var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\", \"sigma\"],\n",
     "        ),\n",
     "        \"2-stage-model\": az.summary(\n",
-    "            idata_outcome_2s_lalonde, var_names=[\"beta_\", \"alpha_outcome\"]\n",
+    "            idata_outcome_2s_lalonde, var_names=[\"beta_\", \"alpha_outcome\", \"sigma\"]\n",
     "        ),\n",
     "    }\n",
     ")\n",
@@ -4088,7 +4278,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 420,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -4179,7 +4369,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 420,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4191,32 +4381,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 421,
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(7.879912854359537)"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"outcome\"].std()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
-      "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, beta_std, beta_ps_spline, beta_ps, alpha_trt, alpha_outcome, sigma]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a19663b7825b458d9ad8bf0dc144565c",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
@@ -4226,8 +4436,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
     {
@@ -4244,40 +4454,32 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 10 seconds.\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/site-packages/pymc/data.py:436: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
-      "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, alpha_trt]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_trt_std, alpha_trt]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7c4369412193442f901047c466f7be53",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -4292,25 +4494,25 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps_spline, beta_std, like, sigma]\n",
-      "Auto-assigning NUTS sampler...\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps_spline, alpha_outcome, sigma]\n",
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b32ebedbfa8b47bba296d89fb3995463",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
+       "</pre>\n"
+      ],
       "text/plain": [
-       "Output()"
+       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
+       "\"ipywidgets\" for Jupyter support\n",
+       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
       ]
      },
      "metadata": {},
@@ -4320,8 +4522,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/bayesian_causal_book/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
-      "  self.pid = os.fork()\n"
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
     {
@@ -4338,7 +4540,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 17 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n"
      ]
     }
    ],
@@ -4416,9 +4618,17 @@
     "X_outcome[\"trt\"] = T_data\n",
     "Y_data = df[\"outcome\"].values\n",
     "\n",
-    "nhefs_model = make_model(X_trt, X_outcome, T_data, Y_data, coords)\n",
+    "priors = {\n",
+    "    \"beta_\": [0, 1],\n",
+    "    \"beta_trt\": [0, 1],\n",
+    "    \"alpha_trt\": [0, 1],\n",
+    "    \"alpha_outcome\": [10, 5],\n",
+    "    \"sigma\": 7,\n",
+    "}\n",
+    "\n",
+    "nhefs_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors)\n",
     "with nhefs_model:\n",
-    "    idata_nhefs = pm.sample()\n",
+    "    idata_nhefs = pm.sample(**sampler_kwargs)\n",
     "\n",
     "\n",
     "(\n",
@@ -4431,12 +4641,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 424,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4467,7 +4677,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 423,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -4505,365 +4715,353 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"16\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"15\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
        "      <td>-1.118</td>\n",
        "      <td>0.061</td>\n",
-       "      <td>-1.230</td>\n",
-       "      <td>-0.999</td>\n",
+       "      <td>-1.233</td>\n",
+       "      <td>-1.004</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>7704.0</td>\n",
-       "      <td>2887.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>8949.0</td>\n",
+       "      <td>5466.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.945</td>\n",
-       "      <td>0.390</td>\n",
-       "      <td>2.243</td>\n",
-       "      <td>3.702</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>7047.0</td>\n",
-       "      <td>2953.0</td>\n",
+       "      <td>2.939</td>\n",
+       "      <td>0.400</td>\n",
+       "      <td>2.195</td>\n",
+       "      <td>3.684</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>8761.0</td>\n",
+       "      <td>5988.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
        "      <td>-2.232</td>\n",
-       "      <td>0.344</td>\n",
-       "      <td>-2.853</td>\n",
-       "      <td>-1.581</td>\n",
+       "      <td>0.349</td>\n",
+       "      <td>-2.884</td>\n",
+       "      <td>-1.577</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5378.0</td>\n",
-       "      <td>2602.0</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5547.0</td>\n",
+       "      <td>6008.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.313</td>\n",
-       "      <td>0.194</td>\n",
-       "      <td>-0.058</td>\n",
-       "      <td>0.664</td>\n",
+       "      <td>0.318</td>\n",
+       "      <td>0.191</td>\n",
+       "      <td>-0.042</td>\n",
+       "      <td>0.676</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7233.0</td>\n",
-       "      <td>3615.0</td>\n",
+       "      <td>10563.0</td>\n",
+       "      <td>6292.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.572</td>\n",
+       "      <td>0.568</td>\n",
        "      <td>0.345</td>\n",
-       "      <td>-0.066</td>\n",
-       "      <td>1.209</td>\n",
+       "      <td>-0.075</td>\n",
+       "      <td>1.215</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5823.0</td>\n",
-       "      <td>2955.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5670.0</td>\n",
+       "      <td>5796.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
        "      <td>-1.172</td>\n",
-       "      <td>0.189</td>\n",
-       "      <td>-1.524</td>\n",
-       "      <td>-0.815</td>\n",
+       "      <td>0.185</td>\n",
+       "      <td>-1.519</td>\n",
+       "      <td>-0.823</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6733.0</td>\n",
-       "      <td>3029.0</td>\n",
+       "      <td>8993.0</td>\n",
+       "      <td>6147.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.605</td>\n",
-       "      <td>0.196</td>\n",
-       "      <td>-0.964</td>\n",
-       "      <td>-0.220</td>\n",
+       "      <td>-0.604</td>\n",
+       "      <td>0.198</td>\n",
+       "      <td>-0.982</td>\n",
+       "      <td>-0.243</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6707.0</td>\n",
-       "      <td>3428.0</td>\n",
+       "      <td>7946.0</td>\n",
+       "      <td>6574.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.160</td>\n",
-       "      <td>0.190</td>\n",
-       "      <td>-0.512</td>\n",
-       "      <td>0.203</td>\n",
+       "      <td>-0.152</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-0.525</td>\n",
+       "      <td>0.217</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6797.0</td>\n",
-       "      <td>2967.0</td>\n",
+       "      <td>8523.0</td>\n",
+       "      <td>6101.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.285</td>\n",
-       "      <td>0.236</td>\n",
-       "      <td>-0.158</td>\n",
-       "      <td>0.716</td>\n",
+       "      <td>0.282</td>\n",
+       "      <td>0.234</td>\n",
+       "      <td>-0.161</td>\n",
+       "      <td>0.722</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5452.0</td>\n",
-       "      <td>3438.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6755.0</td>\n",
+       "      <td>6298.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.246</td>\n",
        "      <td>0.249</td>\n",
-       "      <td>-0.215</td>\n",
-       "      <td>0.714</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>0.249</td>\n",
+       "      <td>-0.243</td>\n",
+       "      <td>0.680</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5324.0</td>\n",
-       "      <td>3589.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5789.0</td>\n",
+       "      <td>6192.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.301</td>\n",
-       "      <td>0.208</td>\n",
-       "      <td>-0.081</td>\n",
-       "      <td>0.697</td>\n",
+       "      <td>0.300</td>\n",
+       "      <td>0.212</td>\n",
+       "      <td>-0.098</td>\n",
+       "      <td>0.689</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5151.0</td>\n",
-       "      <td>3304.0</td>\n",
+       "      <td>6595.0</td>\n",
+       "      <td>6615.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>0.218</td>\n",
-       "      <td>-0.427</td>\n",
-       "      <td>0.387</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>-0.050</td>\n",
+       "      <td>0.225</td>\n",
+       "      <td>-0.492</td>\n",
+       "      <td>0.351</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5217.0</td>\n",
-       "      <td>3415.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6526.0</td>\n",
+       "      <td>6293.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.108</td>\n",
-       "      <td>0.244</td>\n",
-       "      <td>-0.348</td>\n",
-       "      <td>0.551</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>0.116</td>\n",
+       "      <td>0.251</td>\n",
+       "      <td>-0.335</td>\n",
+       "      <td>0.616</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5949.0</td>\n",
-       "      <td>3507.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6283.0</td>\n",
+       "      <td>6240.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.094</td>\n",
-       "      <td>0.248</td>\n",
-       "      <td>-0.371</td>\n",
-       "      <td>0.563</td>\n",
+       "      <td>0.099</td>\n",
+       "      <td>0.255</td>\n",
+       "      <td>-0.367</td>\n",
+       "      <td>0.603</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>6351.0</td>\n",
-       "      <td>3078.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>-0.045</td>\n",
-       "      <td>0.951</td>\n",
-       "      <td>-1.810</td>\n",
-       "      <td>1.729</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>5375.0</td>\n",
-       "      <td>3389.0</td>\n",
+       "      <td>6704.0</td>\n",
+       "      <td>6212.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.830</td>\n",
-       "      <td>0.313</td>\n",
-       "      <td>1.235</td>\n",
-       "      <td>2.410</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>1.825</td>\n",
+       "      <td>0.309</td>\n",
+       "      <td>1.252</td>\n",
+       "      <td>2.404</td>\n",
+       "      <td>0.005</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5564.0</td>\n",
-       "      <td>3178.0</td>\n",
+       "      <td>4529.0</td>\n",
+       "      <td>5389.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"14\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>3.488</td>\n",
-       "      <td>0.432</td>\n",
-       "      <td>2.666</td>\n",
-       "      <td>4.304</td>\n",
-       "      <td>0.006</td>\n",
+       "      <td>2.839</td>\n",
+       "      <td>0.407</td>\n",
+       "      <td>2.094</td>\n",
+       "      <td>3.609</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5879.0</td>\n",
-       "      <td>2724.0</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>11153.0</td>\n",
+       "      <td>5679.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.670</td>\n",
-       "      <td>0.387</td>\n",
-       "      <td>-3.391</td>\n",
-       "      <td>-1.919</td>\n",
-       "      <td>0.006</td>\n",
+       "      <td>-2.195</td>\n",
+       "      <td>0.357</td>\n",
+       "      <td>-2.869</td>\n",
+       "      <td>-1.532</td>\n",
+       "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>4912.0</td>\n",
-       "      <td>2815.0</td>\n",
+       "      <td>6158.0</td>\n",
+       "      <td>5999.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.321</td>\n",
-       "      <td>0.221</td>\n",
-       "      <td>-0.087</td>\n",
-       "      <td>0.735</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>0.300</td>\n",
+       "      <td>0.190</td>\n",
+       "      <td>-0.038</td>\n",
+       "      <td>0.676</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4486.0</td>\n",
-       "      <td>2935.0</td>\n",
+       "      <td>11566.0</td>\n",
+       "      <td>5889.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.966</td>\n",
-       "      <td>0.377</td>\n",
-       "      <td>0.259</td>\n",
-       "      <td>1.662</td>\n",
-       "      <td>0.006</td>\n",
+       "      <td>0.554</td>\n",
+       "      <td>0.349</td>\n",
+       "      <td>-0.125</td>\n",
+       "      <td>1.210</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>4614.0</td>\n",
-       "      <td>2786.0</td>\n",
+       "      <td>6058.0</td>\n",
+       "      <td>5915.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.234</td>\n",
-       "      <td>0.199</td>\n",
-       "      <td>-1.617</td>\n",
-       "      <td>-0.859</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>-1.158</td>\n",
+       "      <td>0.187</td>\n",
+       "      <td>-1.509</td>\n",
+       "      <td>-0.820</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5724.0</td>\n",
-       "      <td>3343.0</td>\n",
+       "      <td>11354.0</td>\n",
+       "      <td>6262.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.618</td>\n",
-       "      <td>0.206</td>\n",
-       "      <td>-1.018</td>\n",
-       "      <td>-0.246</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>-0.601</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>-0.975</td>\n",
+       "      <td>-0.219</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5299.0</td>\n",
-       "      <td>3190.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>9888.0</td>\n",
+       "      <td>6240.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.157</td>\n",
-       "      <td>0.203</td>\n",
-       "      <td>-0.532</td>\n",
-       "      <td>0.222</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5606.0</td>\n",
-       "      <td>3137.0</td>\n",
+       "      <td>-0.156</td>\n",
+       "      <td>0.197</td>\n",
+       "      <td>-0.517</td>\n",
+       "      <td>0.223</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>11303.0</td>\n",
+       "      <td>5832.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.319</td>\n",
-       "      <td>0.245</td>\n",
-       "      <td>-0.147</td>\n",
-       "      <td>0.766</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>0.292</td>\n",
+       "      <td>0.240</td>\n",
+       "      <td>-0.166</td>\n",
+       "      <td>0.732</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4058.0</td>\n",
-       "      <td>3251.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6319.0</td>\n",
+       "      <td>6291.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
+       "      <td>0.265</td>\n",
        "      <td>0.257</td>\n",
-       "      <td>0.267</td>\n",
-       "      <td>-0.220</td>\n",
-       "      <td>0.768</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>-0.240</td>\n",
+       "      <td>0.728</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4294.0</td>\n",
-       "      <td>2782.0</td>\n",
+       "      <td>5450.0</td>\n",
+       "      <td>5526.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.319</td>\n",
-       "      <td>0.217</td>\n",
-       "      <td>-0.096</td>\n",
-       "      <td>0.714</td>\n",
+       "      <td>0.309</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>-0.094</td>\n",
+       "      <td>0.721</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>4550.0</td>\n",
-       "      <td>3197.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>7063.0</td>\n",
+       "      <td>6489.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>0.054</td>\n",
-       "      <td>0.255</td>\n",
-       "      <td>-0.430</td>\n",
-       "      <td>0.515</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>3930.0</td>\n",
-       "      <td>3390.0</td>\n",
+       "      <td>-0.022</td>\n",
+       "      <td>0.231</td>\n",
+       "      <td>-0.474</td>\n",
+       "      <td>0.384</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5892.0</td>\n",
+       "      <td>6169.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.109</td>\n",
-       "      <td>0.264</td>\n",
-       "      <td>-0.420</td>\n",
-       "      <td>0.580</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>4941.0</td>\n",
-       "      <td>2971.0</td>\n",
+       "      <td>0.124</td>\n",
+       "      <td>0.254</td>\n",
+       "      <td>-0.355</td>\n",
+       "      <td>0.590</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>7788.0</td>\n",
+       "      <td>6602.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.116</td>\n",
-       "      <td>0.269</td>\n",
-       "      <td>-0.383</td>\n",
-       "      <td>0.625</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>4939.0</td>\n",
-       "      <td>2725.0</td>\n",
+       "      <td>0.101</td>\n",
+       "      <td>0.256</td>\n",
+       "      <td>-0.365</td>\n",
+       "      <td>0.593</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>7586.0</td>\n",
+       "      <td>6382.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.577</td>\n",
-       "      <td>0.354</td>\n",
-       "      <td>0.958</td>\n",
-       "      <td>2.302</td>\n",
-       "      <td>0.006</td>\n",
+       "      <td>2.019</td>\n",
+       "      <td>0.342</td>\n",
+       "      <td>1.372</td>\n",
+       "      <td>2.658</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>3957.0</td>\n",
-       "      <td>2884.0</td>\n",
+       "      <td>6019.0</td>\n",
+       "      <td>5667.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4872,71 +5070,69 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt             -1.118  0.061  -1.230   -0.999      0.001   \n",
-       "              beta_[trt]             2.945  0.390   2.243    3.702      0.005   \n",
-       "              beta_[age]            -2.232  0.344  -2.853   -1.581      0.005   \n",
-       "              beta_[smokeintensity]  0.313  0.194  -0.058    0.664      0.002   \n",
-       "              beta_[smokeyrs]        0.572  0.345  -0.066    1.209      0.005   \n",
-       "              beta_[wt71]           -1.172  0.189  -1.524   -0.815      0.002   \n",
-       "              beta_[active_1]       -0.605  0.196  -0.964   -0.220      0.002   \n",
-       "              beta_[active_2]       -0.160  0.190  -0.512    0.203      0.002   \n",
-       "              beta_[education_2]     0.285  0.236  -0.158    0.716      0.003   \n",
-       "              beta_[education_3]     0.246  0.249  -0.215    0.714      0.003   \n",
-       "              beta_[education_4]     0.301  0.208  -0.081    0.697      0.003   \n",
-       "              beta_[education_5]    -0.047  0.218  -0.427    0.387      0.003   \n",
-       "              beta_[exercise_1]      0.108  0.244  -0.348    0.551      0.003   \n",
-       "              beta_[exercise_2]      0.094  0.248  -0.371    0.563      0.003   \n",
-       "              beta_ps               -0.045  0.951  -1.810    1.729      0.013   \n",
-       "              alpha_outcome          1.830  0.313   1.235    2.410      0.004   \n",
-       "2-stage-model beta_[trt]             3.488  0.432   2.666    4.304      0.006   \n",
-       "              beta_[age]            -2.670  0.387  -3.391   -1.919      0.006   \n",
-       "              beta_[smokeintensity]  0.321  0.221  -0.087    0.735      0.003   \n",
-       "              beta_[smokeyrs]        0.966  0.377   0.259    1.662      0.006   \n",
-       "              beta_[wt71]           -1.234  0.199  -1.617   -0.859      0.003   \n",
-       "              beta_[active_1]       -0.618  0.206  -1.018   -0.246      0.003   \n",
-       "              beta_[active_2]       -0.157  0.203  -0.532    0.222      0.003   \n",
-       "              beta_[education_2]     0.319  0.245  -0.147    0.766      0.004   \n",
-       "              beta_[education_3]     0.257  0.267  -0.220    0.768      0.004   \n",
-       "              beta_[education_4]     0.319  0.217  -0.096    0.714      0.003   \n",
-       "              beta_[education_5]     0.054  0.255  -0.430    0.515      0.004   \n",
-       "              beta_[exercise_1]      0.109  0.264  -0.420    0.580      0.004   \n",
-       "              beta_[exercise_2]      0.116  0.269  -0.383    0.625      0.004   \n",
-       "              alpha_outcome          1.577  0.354   0.958    2.302      0.006   \n",
+       "1-stage-model alpha_trt             -1.118  0.061  -1.233   -1.004      0.001   \n",
+       "              beta_[trt]             2.939  0.400   2.195    3.684      0.004   \n",
+       "              beta_[age]            -2.232  0.349  -2.884   -1.577      0.005   \n",
+       "              beta_[smokeintensity]  0.318  0.191  -0.042    0.676      0.002   \n",
+       "              beta_[smokeyrs]        0.568  0.345  -0.075    1.215      0.005   \n",
+       "              beta_[wt71]           -1.172  0.185  -1.519   -0.823      0.002   \n",
+       "              beta_[active_1]       -0.604  0.198  -0.982   -0.243      0.002   \n",
+       "              beta_[active_2]       -0.152  0.195  -0.525    0.217      0.002   \n",
+       "              beta_[education_2]     0.282  0.234  -0.161    0.722      0.003   \n",
+       "              beta_[education_3]     0.249  0.249  -0.243    0.680      0.003   \n",
+       "              beta_[education_4]     0.300  0.212  -0.098    0.689      0.003   \n",
+       "              beta_[education_5]    -0.050  0.225  -0.492    0.351      0.003   \n",
+       "              beta_[exercise_1]      0.116  0.251  -0.335    0.616      0.003   \n",
+       "              beta_[exercise_2]      0.099  0.255  -0.367    0.603      0.003   \n",
+       "              alpha_outcome          1.825  0.309   1.252    2.404      0.005   \n",
+       "2-stage-model beta_[trt]             2.839  0.407   2.094    3.609      0.004   \n",
+       "              beta_[age]            -2.195  0.357  -2.869   -1.532      0.005   \n",
+       "              beta_[smokeintensity]  0.300  0.190  -0.038    0.676      0.002   \n",
+       "              beta_[smokeyrs]        0.554  0.349  -0.125    1.210      0.004   \n",
+       "              beta_[wt71]           -1.158  0.187  -1.509   -0.820      0.002   \n",
+       "              beta_[active_1]       -0.601  0.200  -0.975   -0.219      0.002   \n",
+       "              beta_[active_2]       -0.156  0.197  -0.517    0.223      0.002   \n",
+       "              beta_[education_2]     0.292  0.240  -0.166    0.732      0.003   \n",
+       "              beta_[education_3]     0.265  0.257  -0.240    0.728      0.003   \n",
+       "              beta_[education_4]     0.309  0.216  -0.094    0.721      0.003   \n",
+       "              beta_[education_5]    -0.022  0.231  -0.474    0.384      0.003   \n",
+       "              beta_[exercise_1]      0.124  0.254  -0.355    0.590      0.003   \n",
+       "              beta_[exercise_2]      0.101  0.256  -0.365    0.593      0.003   \n",
+       "              alpha_outcome          2.019  0.342   1.372    2.658      0.004   \n",
        "\n",
        "                                     mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt                0.000    7704.0    2887.0    1.0  \n",
-       "              beta_[trt]               0.003    7047.0    2953.0    1.0  \n",
-       "              beta_[age]               0.003    5378.0    2602.0    1.0  \n",
-       "              beta_[smokeintensity]    0.002    7233.0    3615.0    1.0  \n",
-       "              beta_[smokeyrs]          0.004    5823.0    2955.0    1.0  \n",
-       "              beta_[wt71]              0.002    6733.0    3029.0    1.0  \n",
-       "              beta_[active_1]          0.002    6707.0    3428.0    1.0  \n",
-       "              beta_[active_2]          0.002    6797.0    2967.0    1.0  \n",
-       "              beta_[education_2]       0.003    5452.0    3438.0    1.0  \n",
-       "              beta_[education_3]       0.003    5324.0    3589.0    1.0  \n",
-       "              beta_[education_4]       0.002    5151.0    3304.0    1.0  \n",
-       "              beta_[education_5]       0.003    5217.0    3415.0    1.0  \n",
-       "              beta_[exercise_1]        0.003    5949.0    3507.0    1.0  \n",
-       "              beta_[exercise_2]        0.003    6351.0    3078.0    1.0  \n",
-       "              beta_ps                  0.014    5375.0    3389.0    1.0  \n",
-       "              alpha_outcome            0.003    5564.0    3178.0    1.0  \n",
-       "2-stage-model beta_[trt]               0.004    5879.0    2724.0    1.0  \n",
-       "              beta_[age]               0.004    4912.0    2815.0    1.0  \n",
-       "              beta_[smokeintensity]    0.002    4486.0    2935.0    1.0  \n",
-       "              beta_[smokeyrs]          0.004    4614.0    2786.0    1.0  \n",
-       "              beta_[wt71]              0.002    5724.0    3343.0    1.0  \n",
-       "              beta_[active_1]          0.002    5299.0    3190.0    1.0  \n",
-       "              beta_[active_2]          0.003    5606.0    3137.0    1.0  \n",
-       "              beta_[education_2]       0.003    4058.0    3251.0    1.0  \n",
-       "              beta_[education_3]       0.003    4294.0    2782.0    1.0  \n",
-       "              beta_[education_4]       0.003    4550.0    3197.0    1.0  \n",
-       "              beta_[education_5]       0.004    3930.0    3390.0    1.0  \n",
-       "              beta_[exercise_1]        0.004    4941.0    2971.0    1.0  \n",
-       "              beta_[exercise_2]        0.004    4939.0    2725.0    1.0  \n",
-       "              alpha_outcome            0.004    3957.0    2884.0    1.0  "
+       "1-stage-model alpha_trt                0.001    8949.0    5466.0    1.0  \n",
+       "              beta_[trt]               0.004    8761.0    5988.0    1.0  \n",
+       "              beta_[age]               0.004    5547.0    6008.0    1.0  \n",
+       "              beta_[smokeintensity]    0.002   10563.0    6292.0    1.0  \n",
+       "              beta_[smokeyrs]          0.003    5670.0    5796.0    1.0  \n",
+       "              beta_[wt71]              0.002    8993.0    6147.0    1.0  \n",
+       "              beta_[active_1]          0.002    7946.0    6574.0    1.0  \n",
+       "              beta_[active_2]          0.002    8523.0    6101.0    1.0  \n",
+       "              beta_[education_2]       0.002    6755.0    6298.0    1.0  \n",
+       "              beta_[education_3]       0.002    5789.0    6192.0    1.0  \n",
+       "              beta_[education_4]       0.002    6595.0    6615.0    1.0  \n",
+       "              beta_[education_5]       0.002    6526.0    6293.0    1.0  \n",
+       "              beta_[exercise_1]        0.002    6283.0    6240.0    1.0  \n",
+       "              beta_[exercise_2]        0.003    6704.0    6212.0    1.0  \n",
+       "              alpha_outcome            0.003    4529.0    5389.0    1.0  \n",
+       "2-stage-model beta_[trt]               0.005   11153.0    5679.0    1.0  \n",
+       "              beta_[age]               0.004    6158.0    5999.0    1.0  \n",
+       "              beta_[smokeintensity]    0.002   11566.0    5889.0    1.0  \n",
+       "              beta_[smokeyrs]          0.004    6058.0    5915.0    1.0  \n",
+       "              beta_[wt71]              0.002   11354.0    6262.0    1.0  \n",
+       "              beta_[active_1]          0.002    9888.0    6240.0    1.0  \n",
+       "              beta_[active_2]          0.002   11303.0    5832.0    1.0  \n",
+       "              beta_[education_2]       0.002    6319.0    6291.0    1.0  \n",
+       "              beta_[education_3]       0.003    5450.0    5526.0    1.0  \n",
+       "              beta_[education_4]       0.002    7063.0    6489.0    1.0  \n",
+       "              beta_[education_5]       0.002    5892.0    6169.0    1.0  \n",
+       "              beta_[exercise_1]        0.003    7788.0    6602.0    1.0  \n",
+       "              beta_[exercise_2]        0.003    7586.0    6382.0    1.0  \n",
+       "              alpha_outcome            0.004    6019.0    5667.0    1.0  "
       ]
      },
-     "execution_count": 423,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4945,7 +5141,7 @@
     "compare_estimate = pd.concat(\n",
     "    {\n",
     "        \"1-stage-model\": az.summary(\n",
-    "            idata_nhefs, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "            idata_nhefs, var_names=[\"alpha_trt\", \"beta_\", \"alpha_outcome\"]\n",
     "        ),\n",
     "        \"2-stage-model\": az.summary(\n",
     "            idata_outcome_2s_nhefs, var_names=[\"beta_\", \"alpha_outcome\"]\n",
@@ -4955,19 +5151,684 @@
     "compare_estimate"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.lines.Line2D at 0x16d13e710>"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = az.plot_posterior(\n",
+    "    idata_outcome_2s_nhefs, var_names=[\"beta_\"], coords={\"betas\": [\"trt\"]}\n",
+    ")\n",
+    "ax.axvline(3.4, color=\"k\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### The Problem of Feedback\n",
+    "### Two-Stage Outcome Modelling with CausalPy\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [b]\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
+      "Sampling: [b, t_pred]\n",
+      "Sampling: [t_pred]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x2b81af1d0>"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "formula = \"\"\"trt ~ 1 + age + race + sex + smokeintensity + smokeyrs + wt71 + active_1 + active_2 + \n",
+    "         education_2 + education_3 + education_4 + education_5 + exercise_1 + exercise_2\"\"\"\n",
+    "\n",
+    "df_standardised = (df - df.mean(axis=0)) / df.std(axis=0)\n",
+    "df_standardised[\"trt\"] = df[\"trt\"]\n",
+    "df_standardised[\"outcome\"] = df[\"outcome\"]\n",
+    "result = cp.InversePropensityWeighting(\n",
+    "    df_standardised,\n",
+    "    formula=formula,\n",
+    "    outcome_variable=\"outcome\",\n",
+    "    weighting_scheme=\"robust\",  ## Will be used by plots after estimation if no other scheme is specified.\n",
+    "    model=cp.pymc_models.PropensityScore(\n",
+    "        sample_kwargs={\n",
+    "            \"chains\": 4,\n",
+    "            \"tune\": 2000,\n",
+    "            \"draws\": 2000,\n",
+    "            \"target_accept\": 0.95,\n",
+    "            \"random_seed\": 18,\n",
+    "            \"progressbar\": False,\n",
+    "            \"mp_ctx\": \"spawn\",\n",
+    "        },\n",
+    "    ),\n",
+    ")\n",
+    "\n",
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x200 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_trace(result.idata, var_names=[\"b\"]);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/IPython/core/events.py:82: UserWarning: Creating legend with loc=\"best\" can be slow with large amounts of data.\n",
+      "  func(*args, **kwargs)\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/IPython/core/pylabtools.py:170: UserWarning: Creating legend with loc=\"best\" can be slow with large amounts of data.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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zY8aMXH755TnssMOy9957d9nOs88+mxEjRuTOO+/MTjvtlCR54IEH8qEPfShf+cpX0tbWli9/+cv5u7/7uyRJY2NjTj755Pz3f/93HnzwwRx22GGd67r88suzcOHCHHfccbn44os7nxZ48cUX87GPfSy33HJLpk6dmne/+92v6+cGAADA4LTPPvvkpz/9aZYuXfqa/aZNm5Zp06bloYceSnNzc7fr5cmTJ+eKK67I4sWLM23atG6zy91555257rrrsu++++aKK67ovEG9ra0tn//853PLLbfkiiuuyPnnn99t27fffnu+9a1v5ZBDDumy/D/+4z/yn//5nzn88MPzxS9+sfOJ8ebm5vyf//N/OoPtU089tds677jjjsyfP7/zZoAXX3wxJ598chYuXJgHHnggb3/72zv7XnrppVm4cGEOPfTQfO1rX+sym9yqVavywgsvdH796KOP5rLLLsu4cePy9a9/vfNav729PV//+tcze/bs/Nu//Vtmz579mj9vYOvjne0AAPS5+fPnZ+3atTnmmGM6g/YkKS8vz6c+9amMGTMmv//97/Poo4/2WQ3f/e538+KLL+aII47I9OnTu02/fvDBB2fkyJFJkqeffjq/+MUvUlNTk4suuqjL9HWTJ0/OySefnPXr1+emm27qcVsXXnhhZ9CeJIcddlgmTZqUF154Ie9+97s7g/YkqampyQc+8IEkGwP/DqtXr86tt96aXXfdNf/2b//WZVq+7bffvvOJ9u985zuv90cCAADAINURHDc0NPTpdq6++uokyZe+9KXOoD1JKioqcuGFF2b06NG59dZbs2HDhm7fe+KJJ3YL2tetW5f/+I//yIgRI7oE7UlSXV2df/u3f0tlZeUmr3X/+Z//uctT99tvv33+8R//MUk6p6hPkueffz633XZbttlmm1x++eXdXts2duzY7Lfffp1fX3PNNdmwYUM+97nPdbmpvqysLB//+Mez77775mc/+1lefPHFTf+wgK2SsB0AgD7XccH793//993aKisr8973vrdLv77wm9/8Jkly0kkn/dW+//3f/50kede73tXjO9+OO+64Lv1eraKiottgQpLOQYl3vOMd3domTJiQJF3uqn/ooYfS1taWd77znamsrOz2PXvvvXdGjBiRxx577K/uDwAAAENLe3t7knS7kbw3rV69OosXL84ee+yRN77xjd3aq6qqst9+++Xll1/O8uXLu7VPnTq127LHH3889fX1Oeigg3p8B/qOO+6YiRMn5sknn8zatWu7tU+ZMqXbsokTJybpek394IMPZv369XnXu97V5Wb4nmzYsCG/+c1vMmLEiC5PxncoKyvLgQcemA0bNuQPf/jDa64L2PqYRh4AgD73/PPPJ0l22WWXHts7lnf06wsd74brCLZfy5bUO3r06B7fK9fx/rqxY8d2a9t2222TJK2trZ3Lnn322STJzTffnJtvvnmTtba0tGyyDQAAgKGpvr4+Sbq8Dq23dVyXPvXUU9lrr702q55X23nnnTe5znvvvfevrrOhoSHbbLNNl2U9Becd19uvvqbuGAMYP378a24jSV566aU0NzcnSfbdd9/X7NvTfgJbN2E7AAD95q/dcb+5d+T3ND1dX9hUPR3Le2rv7X3cd999/+oABAAAAFuXxYsXJ0ne9KY39dk2Oq5LR48e3eMT5a+23XbbdVtWVVW1yXVOnDgxb3vb215zna9+pVuHok/yb07/9evXJ0lGjBiRo4466jX7jhs3rtD2gaFP2A4AQJ8bM2ZMli1blmeeeSa77757t/bnnnsuycYL+OR/Lqg77ix/tfXr1+fPf/5z4Rp23nnnLF26NCtXrswee+zxV+tNkmeeeabH9o478Tvq7QsdT8AfcsghmTlzZp9tBwAAgMFlzZo1+dWvfpUkOfTQQ/tsOx1PkY8ePTqzZs3qlXV2XOvuueeevbbOnnQ8Vb9y5cq/2re2tjaVlZWpqKjo05qAock72wEA6HOTJ09Okvzwhz/s1tba2pr//M//7NKvI8Tu6Z1vDzzwQNra2rot7wjo161b12MNHe9du+WWW/5qvQcddFCS5Je//GVefvnlbu0/+MEPuvTrC4cddliGDRuWX/7yl5132QMAAMCsWbPS3Nyc/fff/68+Hb4ldtppp+y+++5ZsmRJnn766V5Z51ve8paMHDkyDz74YBobG3tlnT055JBDMmzYsPzXf/1XVq1a9Zp9hw8fnkMOOSQvvfRSFixY0Gc1AUOTsB0AgD534oknZptttsmPf/zj/PKXv+xcvmHDhnzlK1/JqlWrsv/+++eAAw5IsvGiOEnuuOOOLk+XP/300/n85z/f4zY6nkZftmxZj+3Tpk1LbW1tfvGLX+Tb3/522tvbu7QvXLgwa9asSbLxnW7vfve709TUlEsvvbRLuP/II4/kO9/5ToYNG5ZTTjml2A+igLFjx+aEE07I8uXLc9555+XFF1/s1ufhhx/Of/3Xf/VZDQAAAAwcTz/9dD75yU/m1ltvTXV1dS699NI+3+aZZ56Z9evX5xOf+ESeeOKJbu0rV67Mrbfeutnrq6yszOmnn56XX34555xzTufMca+2ePHi3HnnnVtU99ixY3Pcccdl7dq1ueCCC/LSSy91aV+1alX+8Ic/dH79sY99LOXl5Tn//POzcOHCbutbtWpVbrzxxi2qCRiaTCMPAECfGzduXD73uc9l5syZ+djHPpYDDzwwO++8c/7whz9k2bJl2XHHHfN//+//7ew/fvz4HH/88bn99ttz/PHHZ/LkyXnllVfy29/+Nu9617vS2tra7YJ81113zV577ZXHHnssJ554Yvbcc8+Ul5dn6tSpec973pPtttsuX/3qV/Pxj388n//85/Otb30rkyZNytq1a/Pkk0/mmWeeyc9//vOMHDkySfK5z30up5xySm6//fYsWLAgBxxwQF588cU89NBDWb9+fS644ILsvffeffpzu+iii/L000/nRz/6UX7xi19kn332yZgxY/LnP/85K1asyKpVq/LBD34w73rXu/q0DgAAAPrXBRdckGTjTeqNjY1Zvnx5li5dmvb29kycODFf/OIXs9dee/V5Hccdd1yeeOKJzJ07N8cff3z22Wef7LrrrmlsbMxzzz2XpUuXZu+9986JJ5642ev82Mc+lqeeeio/+tGP8t73vjeTJk3KzjvvnPr6+jz99NN55pln8p73vCdHH330FtV+4YUXZtmyZfn1r3+dqVOnZvLkyamurs6zzz6bxx9/PB/72McyadKkJMnBBx+cCy+8MF/4whdy6qmnZq+99srEiRPT0tKS5557Lk899VSqq6tz6qmnblFNwNAjbAcAoF8cd9xxGT9+fK655po88sgj+d3vfpfRo0fnH//xH3PmmWd2vretw+c///mMGTMmP/zhD3Pfffdl5513zhlnnJGPfvSj+du//dset3HFFVfk8ssvz8KFC/OHP/whGzZsyE477ZT3vOc9STZOzf6DH/wg1157be67777cfffdqampyYQJE3LSSSd1eQf72LFjc+utt+aaa67J3Xffnbvuuivbbrtt3v72t+fDH/5wpkyZ0nc/rP9n2223zTe/+c3cdtttueOOO7JkyZL89re/zQ477JAJEybkgx/8YN73vvf1eR0AAAD0r9tuuy3JxinOa2pqMmbMmBx//PGZOnVqpk6dmuHD+y/eOffcczNlypTceOONefTRR7NkyZK84Q1vyE477ZR/+qd/yjHHHFNofeXl5fnSl76Uo446KvPnz89jjz2Wxx57LNttt1122WWXnHDCCVsctCdJTU1Nbrjhhtx000354Q9/mAULFqS9vT1jx47NP/zDP+S9731vl/6nnXZaDjjggFx//fVZuHBh7rnnnowYMSJjx47NySef3K0/QJKUtf/l/JkAAAAAAAAAwGvyznYAAAAAAAAAKEjYDgAAAAAAAAAFCdsBAAAAAAAAoCBhOwAAAAAAAAAUJGwHAAAAAAAAgIKE7QAAAAAAAABQkLAdAAAAAAAAAAoStgMAAAAAAABAQcJ2AAAAAAAAAChI2A4AAAAAAAAABQnbAQAAAAAAAKAgYTsAAAAAAAAAFPT/Ayyad/T07Au7AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 2000x1300 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "result.plot_ate(result.idata);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [a_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_std, beta_ps_spline, beta_ps, a_outcome, sigma]\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 25 seconds.\n"
+     ]
+    }
+   ],
+   "source": [
+    "idata_outcome_cp, model_outcome_cp = result.model.fit_outcome_model(\n",
+    "    result.X_outcome,\n",
+    "    result.y,\n",
+    "    result.coords,\n",
+    "    priors={\"b_outcome\": [0, 1], \"a_outcome\": [0, 20], \"sigma\": 2},\n",
+    "    noncentred=True,\n",
+    "    normal_outcome=True,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>beta_[Intercept]</th>\n",
+       "      <td>-0.005</td>\n",
+       "      <td>0.974</td>\n",
+       "      <td>-1.860</td>\n",
+       "      <td>1.802</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>4793.0</td>\n",
+       "      <td>5241.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>-1.981</td>\n",
+       "      <td>0.361</td>\n",
+       "      <td>-2.644</td>\n",
+       "      <td>-1.297</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5097.0</td>\n",
+       "      <td>5640.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[race]</th>\n",
+       "      <td>0.204</td>\n",
+       "      <td>0.231</td>\n",
+       "      <td>-0.238</td>\n",
+       "      <td>0.629</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5325.0</td>\n",
+       "      <td>6359.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[sex]</th>\n",
+       "      <td>-0.715</td>\n",
+       "      <td>0.223</td>\n",
+       "      <td>-1.132</td>\n",
+       "      <td>-0.293</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6434.0</td>\n",
+       "      <td>5968.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[smokeintensity]</th>\n",
+       "      <td>0.216</td>\n",
+       "      <td>0.223</td>\n",
+       "      <td>-0.179</td>\n",
+       "      <td>0.653</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5230.0</td>\n",
+       "      <td>5667.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[smokeyrs]</th>\n",
+       "      <td>0.253</td>\n",
+       "      <td>0.361</td>\n",
+       "      <td>-0.454</td>\n",
+       "      <td>0.906</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5185.0</td>\n",
+       "      <td>5737.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[wt71]</th>\n",
+       "      <td>-1.445</td>\n",
+       "      <td>0.212</td>\n",
+       "      <td>-1.848</td>\n",
+       "      <td>-1.052</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>7098.0</td>\n",
+       "      <td>5961.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[active_1]</th>\n",
+       "      <td>-0.520</td>\n",
+       "      <td>0.203</td>\n",
+       "      <td>-0.896</td>\n",
+       "      <td>-0.141</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>7661.0</td>\n",
+       "      <td>6305.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[active_2]</th>\n",
+       "      <td>-0.088</td>\n",
+       "      <td>0.204</td>\n",
+       "      <td>-0.475</td>\n",
+       "      <td>0.291</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>8778.0</td>\n",
+       "      <td>6252.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[education_2]</th>\n",
+       "      <td>0.374</td>\n",
+       "      <td>0.239</td>\n",
+       "      <td>-0.081</td>\n",
+       "      <td>0.815</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4911.0</td>\n",
+       "      <td>5889.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[education_3]</th>\n",
+       "      <td>0.355</td>\n",
+       "      <td>0.257</td>\n",
+       "      <td>-0.137</td>\n",
+       "      <td>0.821</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4272.0</td>\n",
+       "      <td>5479.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[education_4]</th>\n",
+       "      <td>0.352</td>\n",
+       "      <td>0.222</td>\n",
+       "      <td>-0.047</td>\n",
+       "      <td>0.792</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5927.0</td>\n",
+       "      <td>5720.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[education_5]</th>\n",
+       "      <td>-0.006</td>\n",
+       "      <td>0.228</td>\n",
+       "      <td>-0.428</td>\n",
+       "      <td>0.420</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5599.0</td>\n",
+       "      <td>6151.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[exercise_1]</th>\n",
+       "      <td>0.156</td>\n",
+       "      <td>0.258</td>\n",
+       "      <td>-0.310</td>\n",
+       "      <td>0.652</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5842.0</td>\n",
+       "      <td>6130.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[exercise_2]</th>\n",
+       "      <td>0.201</td>\n",
+       "      <td>0.275</td>\n",
+       "      <td>-0.340</td>\n",
+       "      <td>0.694</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4917.0</td>\n",
+       "      <td>5922.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>2.807</td>\n",
+       "      <td>0.403</td>\n",
+       "      <td>2.063</td>\n",
+       "      <td>3.560</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>9146.0</td>\n",
+       "      <td>6155.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
+       "beta_[Intercept]      -0.005  0.974  -1.860    1.802      0.014    0.010   \n",
+       "beta_[age]            -1.981  0.361  -2.644   -1.297      0.005    0.004   \n",
+       "beta_[race]            0.204  0.231  -0.238    0.629      0.003    0.002   \n",
+       "beta_[sex]            -0.715  0.223  -1.132   -0.293      0.003    0.002   \n",
+       "beta_[smokeintensity]  0.216  0.223  -0.179    0.653      0.003    0.002   \n",
+       "beta_[smokeyrs]        0.253  0.361  -0.454    0.906      0.005    0.004   \n",
+       "beta_[wt71]           -1.445  0.212  -1.848   -1.052      0.003    0.002   \n",
+       "beta_[active_1]       -0.520  0.203  -0.896   -0.141      0.002    0.002   \n",
+       "beta_[active_2]       -0.088  0.204  -0.475    0.291      0.002    0.002   \n",
+       "beta_[education_2]     0.374  0.239  -0.081    0.815      0.003    0.002   \n",
+       "beta_[education_3]     0.355  0.257  -0.137    0.821      0.004    0.002   \n",
+       "beta_[education_4]     0.352  0.222  -0.047    0.792      0.003    0.002   \n",
+       "beta_[education_5]    -0.006  0.228  -0.428    0.420      0.003    0.002   \n",
+       "beta_[exercise_1]      0.156  0.258  -0.310    0.652      0.003    0.003   \n",
+       "beta_[exercise_2]      0.201  0.275  -0.340    0.694      0.004    0.003   \n",
+       "beta_[trt]             2.807  0.403   2.063    3.560      0.004    0.004   \n",
+       "\n",
+       "                       ess_bulk  ess_tail  r_hat  \n",
+       "beta_[Intercept]         4793.0    5241.0    1.0  \n",
+       "beta_[age]               5097.0    5640.0    1.0  \n",
+       "beta_[race]              5325.0    6359.0    1.0  \n",
+       "beta_[sex]               6434.0    5968.0    1.0  \n",
+       "beta_[smokeintensity]    5230.0    5667.0    1.0  \n",
+       "beta_[smokeyrs]          5185.0    5737.0    1.0  \n",
+       "beta_[wt71]              7098.0    5961.0    1.0  \n",
+       "beta_[active_1]          7661.0    6305.0    1.0  \n",
+       "beta_[active_2]          8778.0    6252.0    1.0  \n",
+       "beta_[education_2]       4911.0    5889.0    1.0  \n",
+       "beta_[education_3]       4272.0    5479.0    1.0  \n",
+       "beta_[education_4]       5927.0    5720.0    1.0  \n",
+       "beta_[education_5]       5599.0    6151.0    1.0  \n",
+       "beta_[exercise_1]        5842.0    6130.0    1.0  \n",
+       "beta_[exercise_2]        4917.0    5922.0    1.0  \n",
+       "beta_[trt]               9146.0    6155.0    1.0  "
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(idata_outcome_cp, var_names=[\"beta_\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>         <td>outcome</td>     <th>  R-squared:         </th> <td>   0.124</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.115</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   14.61</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Thu, 10 Jul 2025</td> <th>  Prob (F-statistic):</th> <td>1.41e-35</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>11:58:05</td>     <th>  Log-Likelihood:    </th> <td> -5350.7</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>  1566</td>      <th>  AIC:               </th> <td>1.073e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>  1550</td>      <th>  BIC:               </th> <td>1.082e+04</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>    15</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "         <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>      <td>   16.0903</td> <td>    1.508</td> <td>   10.673</td> <td> 0.000</td> <td>   13.133</td> <td>   19.047</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>trt</th>            <td>    3.3812</td> <td>    0.441</td> <td>    7.665</td> <td> 0.000</td> <td>    2.516</td> <td>    4.246</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>age</th>            <td>   -0.2006</td> <td>    0.033</td> <td>   -6.080</td> <td> 0.000</td> <td>   -0.265</td> <td>   -0.136</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>race</th>           <td>    0.6274</td> <td>    0.587</td> <td>    1.069</td> <td> 0.285</td> <td>   -0.524</td> <td>    1.779</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>sex</th>            <td>   -1.4293</td> <td>    0.456</td> <td>   -3.131</td> <td> 0.002</td> <td>   -2.325</td> <td>   -0.534</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>smokeintensity</th> <td>    0.0207</td> <td>    0.017</td> <td>    1.213</td> <td> 0.225</td> <td>   -0.013</td> <td>    0.054</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>smokeyrs</th>       <td>    0.0516</td> <td>    0.034</td> <td>    1.539</td> <td> 0.124</td> <td>   -0.014</td> <td>    0.117</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>wt71</th>           <td>   -0.0998</td> <td>    0.014</td> <td>   -7.304</td> <td> 0.000</td> <td>   -0.127</td> <td>   -0.073</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>active_1</th>       <td>   -1.1147</td> <td>    0.414</td> <td>   -2.694</td> <td> 0.007</td> <td>   -1.927</td> <td>   -0.303</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>active_2</th>       <td>   -0.4303</td> <td>    0.692</td> <td>   -0.622</td> <td> 0.534</td> <td>   -1.788</td> <td>    0.928</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_2</th>    <td>    1.0292</td> <td>    0.612</td> <td>    1.681</td> <td> 0.093</td> <td>   -0.172</td> <td>    2.230</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_3</th>    <td>    0.8242</td> <td>    0.561</td> <td>    1.470</td> <td> 0.142</td> <td>   -0.276</td> <td>    1.924</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_4</th>    <td>    1.4563</td> <td>    0.841</td> <td>    1.733</td> <td> 0.083</td> <td>   -0.192</td> <td>    3.105</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_5</th>    <td>   -0.0405</td> <td>    0.750</td> <td>   -0.054</td> <td> 0.957</td> <td>   -1.511</td> <td>    1.430</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>exercise_1</th>     <td>    0.3839</td> <td>    0.541</td> <td>    0.710</td> <td> 0.478</td> <td>   -0.677</td> <td>    1.445</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>exercise_2</th>     <td>    0.4749</td> <td>    0.564</td> <td>    0.841</td> <td> 0.400</td> <td>   -0.632</td> <td>    1.582</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>200.616</td> <th>  Durbin-Watson:     </th> <td>   2.012</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>1025.738</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td> 0.485</td>  <th>  Prob(JB):          </th> <td>1.84e-223</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 6.844</td>  <th>  Cond. No.          </th> <td>    769.</td> \n",
+       "</tr>\n",
+       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+      ],
+      "text/latex": [
+       "\\begin{center}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\toprule\n",
+       "\\textbf{Dep. Variable:}    &     outcome      & \\textbf{  R-squared:         } &     0.124   \\\\\n",
+       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.115   \\\\\n",
+       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     14.61   \\\\\n",
+       "\\textbf{Date:}             & Thu, 10 Jul 2025 & \\textbf{  Prob (F-statistic):} &  1.41e-35   \\\\\n",
+       "\\textbf{Time:}             &     11:58:05     & \\textbf{  Log-Likelihood:    } &   -5350.7   \\\\\n",
+       "\\textbf{No. Observations:} &        1566      & \\textbf{  AIC:               } & 1.073e+04   \\\\\n",
+       "\\textbf{Df Residuals:}     &        1550      & \\textbf{  BIC:               } & 1.082e+04   \\\\\n",
+       "\\textbf{Df Model:}         &          15      & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lcccccc}\n",
+       "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
+       "\\midrule\n",
+       "\\textbf{Intercept}      &      16.0903  &        1.508     &    10.673  &         0.000        &       13.133    &       19.047     \\\\\n",
+       "\\textbf{trt}            &       3.3812  &        0.441     &     7.665  &         0.000        &        2.516    &        4.246     \\\\\n",
+       "\\textbf{age}            &      -0.2006  &        0.033     &    -6.080  &         0.000        &       -0.265    &       -0.136     \\\\\n",
+       "\\textbf{race}           &       0.6274  &        0.587     &     1.069  &         0.285        &       -0.524    &        1.779     \\\\\n",
+       "\\textbf{sex}            &      -1.4293  &        0.456     &    -3.131  &         0.002        &       -2.325    &       -0.534     \\\\\n",
+       "\\textbf{smokeintensity} &       0.0207  &        0.017     &     1.213  &         0.225        &       -0.013    &        0.054     \\\\\n",
+       "\\textbf{smokeyrs}       &       0.0516  &        0.034     &     1.539  &         0.124        &       -0.014    &        0.117     \\\\\n",
+       "\\textbf{wt71}           &      -0.0998  &        0.014     &    -7.304  &         0.000        &       -0.127    &       -0.073     \\\\\n",
+       "\\textbf{active\\_1}      &      -1.1147  &        0.414     &    -2.694  &         0.007        &       -1.927    &       -0.303     \\\\\n",
+       "\\textbf{active\\_2}      &      -0.4303  &        0.692     &    -0.622  &         0.534        &       -1.788    &        0.928     \\\\\n",
+       "\\textbf{education\\_2}   &       1.0292  &        0.612     &     1.681  &         0.093        &       -0.172    &        2.230     \\\\\n",
+       "\\textbf{education\\_3}   &       0.8242  &        0.561     &     1.470  &         0.142        &       -0.276    &        1.924     \\\\\n",
+       "\\textbf{education\\_4}   &       1.4563  &        0.841     &     1.733  &         0.083        &       -0.192    &        3.105     \\\\\n",
+       "\\textbf{education\\_5}   &      -0.0405  &        0.750     &    -0.054  &         0.957        &       -1.511    &        1.430     \\\\\n",
+       "\\textbf{exercise\\_1}    &       0.3839  &        0.541     &     0.710  &         0.478        &       -0.677    &        1.445     \\\\\n",
+       "\\textbf{exercise\\_2}    &       0.4749  &        0.564     &     0.841  &         0.400        &       -0.632    &        1.582     \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "\\begin{tabular}{lclc}\n",
+       "\\textbf{Omnibus:}       & 200.616 & \\textbf{  Durbin-Watson:     } &     2.012  \\\\\n",
+       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &  1025.738  \\\\\n",
+       "\\textbf{Skew:}          &   0.485 & \\textbf{  Prob(JB):          } & 1.84e-223  \\\\\n",
+       "\\textbf{Kurtosis:}      &   6.844 & \\textbf{  Cond. No.          } &      769.  \\\\\n",
+       "\\bottomrule\n",
+       "\\end{tabular}\n",
+       "%\\caption{OLS Regression Results}\n",
+       "\\end{center}\n",
+       "\n",
+       "Notes: \\newline\n",
+       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:                outcome   R-squared:                       0.124\n",
+       "Model:                            OLS   Adj. R-squared:                  0.115\n",
+       "Method:                 Least Squares   F-statistic:                     14.61\n",
+       "Date:                Thu, 10 Jul 2025   Prob (F-statistic):           1.41e-35\n",
+       "Time:                        11:58:05   Log-Likelihood:                -5350.7\n",
+       "No. Observations:                1566   AIC:                         1.073e+04\n",
+       "Df Residuals:                    1550   BIC:                         1.082e+04\n",
+       "Df Model:                          15                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "==================================================================================\n",
+       "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "----------------------------------------------------------------------------------\n",
+       "Intercept         16.0903      1.508     10.673      0.000      13.133      19.047\n",
+       "trt                3.3812      0.441      7.665      0.000       2.516       4.246\n",
+       "age               -0.2006      0.033     -6.080      0.000      -0.265      -0.136\n",
+       "race               0.6274      0.587      1.069      0.285      -0.524       1.779\n",
+       "sex               -1.4293      0.456     -3.131      0.002      -2.325      -0.534\n",
+       "smokeintensity     0.0207      0.017      1.213      0.225      -0.013       0.054\n",
+       "smokeyrs           0.0516      0.034      1.539      0.124      -0.014       0.117\n",
+       "wt71              -0.0998      0.014     -7.304      0.000      -0.127      -0.073\n",
+       "active_1          -1.1147      0.414     -2.694      0.007      -1.927      -0.303\n",
+       "active_2          -0.4303      0.692     -0.622      0.534      -1.788       0.928\n",
+       "education_2        1.0292      0.612      1.681      0.093      -0.172       2.230\n",
+       "education_3        0.8242      0.561      1.470      0.142      -0.276       1.924\n",
+       "education_4        1.4563      0.841      1.733      0.083      -0.192       3.105\n",
+       "education_5       -0.0405      0.750     -0.054      0.957      -1.511       1.430\n",
+       "exercise_1         0.3839      0.541      0.710      0.478      -0.677       1.445\n",
+       "exercise_2         0.4749      0.564      0.841      0.400      -0.632       1.582\n",
+       "==============================================================================\n",
+       "Omnibus:                      200.616   Durbin-Watson:                   2.012\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1025.738\n",
+       "Skew:                           0.485   Prob(JB):                    1.84e-223\n",
+       "Kurtosis:                       6.844   Cond. No.                         769.\n",
+       "==============================================================================\n",
+       "\n",
+       "Notes:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from statsmodels.formula import api as smf\n",
+    "\n",
+    "formula = \"\"\"outcome ~ 1 + trt + age + race + sex + smokeintensity + smokeyrs + wt71 + active_1 + active_2 + \n",
+    "         education_2 + education_3 + education_4 + education_5 + exercise_1 + exercise_2\"\"\"\n",
+    "\n",
+    "\n",
+    "res = smf.ols(formula, df).fit()\n",
     "\n",
-    "The issue here is sometimes called Bayesian feedback or \"collider bias via the likelihood\", and it's a key issue when trying to build joint models for causal inference in the Bayesian paradigm. Because we fit the outcome and the treatment models simultaneously, and this means that the outcome can influence the posterior distribution of the parameters $\\beta$ in the treatment model and it violates the idea of design-before-analysis. We have here an apparent example of a slight bias due to this effect. The two stage modular approach seems to better recover the treatment effect reported in the literature and avoids the risk of collider bias. \n"
+    "res.summary()"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "bayesian_causal_book",
+   "display_name": "CausalPy",
    "language": "python",
    "name": "python3"
   },
@@ -4981,7 +5842,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.15"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,

From a18f83b5a1ca2158ff6d1b106eb75f517a553ff6 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Thu, 10 Jul 2025 22:12:06 +0100
Subject: [PATCH 11/31] full run through

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/pymc_models.py                     |   32 +-
 docs/source/notebooks/inv_prop_latent.ipynb | 3775 +++++++++++--------
 2 files changed, 2138 insertions(+), 1669 deletions(-)

diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index 47645a5a..3122e7a1 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -525,6 +525,7 @@ def fit_outcome_model(
         priors={"b_outcome": [0, 1], "a_outcome": [0, 1], "sigma": 1},
         noncentred=True,
         normal_outcome=True,
+        spline_component=False,
     ):
         if not hasattr(self, "idata"):
             raise AttributeError("""Object is missing required attribute 'idata'
@@ -551,35 +552,40 @@ def fit_outcome_model(
                 )
 
             beta_ps_spline = pm.Normal("beta_ps_spline", 0, 1, size=34)
-            beta_ps = pm.Normal("beta_ps", 0, 1)
+            beta_ps = pm.Normal("beta_ps", 0, 1, size=2)
 
             chosen = np.random.choice(range(propensity_scores.shape[1]))
             p = propensity_scores[:, chosen].values
 
-            B = dmatrix(
-                "bs(ps, knots=knots, degree=3, include_intercept=True, lower_bound=0, upper_bound=1) - 1",
-                {"ps": p, "knots": np.linspace(0, 1, 30)},
-            )
-            B_f = np.asarray(B, order="F")
-            splines_summed = pm.Deterministic(
-                "spline_features", pm.math.dot(B_f, beta_ps_spline.T)
-            )
-
             alpha_outcome = pm.Normal(
                 "a_outcome", priors["a_outcome"][0], priors["a_outcome"][1]
             )
+
             mu_outcome = (
                 alpha_outcome
                 + pm.math.dot(X_data_outcome, beta)
-                + p * beta_ps
-                + splines_summed
+                + beta_ps[0] * p
+                + beta_ps[1] * (p * self.t.flatten())
             )
+
+            if spline_component:
+                beta_ps_spline = pm.Normal("beta_ps_spline", 0, 1, size=34)
+                B = dmatrix(
+                    "bs(ps, knots=knots, degree=3, include_intercept=True, lower_bound=0, upper_bound=1) - 1",
+                    {"ps": p, "knots": np.linspace(0, 1, 30)},
+                )
+                B_f = np.asarray(B, order="F")
+                splines_summed = pm.Deterministic(
+                    "spline_features", pm.math.dot(B_f, beta_ps_spline.T)
+                )
+                mu_outcome = mu_outcome + splines_summed
+
             sigma = pm.HalfNormal("sigma", priors["sigma"])
 
             if normal_outcome:
                 _ = pm.Normal("like", mu_outcome, sigma, observed=Y_data_)
             else:
-                nu = pm.Exponential("nu", lam=1 / 30)
+                nu = pm.Exponential("nu", lam=1 / 10)
                 _ = pm.StudentT("like", nu=nu, mu=mu_outcome, sigma=sigma)
 
             idata_outcome = pm.sample_prior_predictive(random_seed=random_seed)
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 95732742..44619cd7 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -111,43 +111,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>-0.016308</td>\n",
-       "      <td>-0.439257</td>\n",
-       "      <td>-0.456160</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.015246</td>\n",
+       "      <td>0.523488</td>\n",
+       "      <td>0.044881</td>\n",
+       "      <td>0.671594</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.995582</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.727746</td>\n",
-       "      <td>-1.099745</td>\n",
-       "      <td>1.480021</td>\n",
+       "      <td>-0.601303</td>\n",
+       "      <td>1.339160</td>\n",
+       "      <td>0.723706</td>\n",
        "      <td>1</td>\n",
-       "      <td>-0.732662</td>\n",
+       "      <td>0.008482</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0.738903</td>\n",
-       "      <td>-0.698852</td>\n",
-       "      <td>-1.567861</td>\n",
+       "      <td>-0.073837</td>\n",
+       "      <td>-0.425303</td>\n",
+       "      <td>0.582251</td>\n",
        "      <td>0</td>\n",
-       "      <td>6.228998</td>\n",
+       "      <td>-1.986655</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-0.772407</td>\n",
-       "      <td>-1.777497</td>\n",
-       "      <td>0.260820</td>\n",
+       "      <td>-0.481951</td>\n",
+       "      <td>-0.515395</td>\n",
+       "      <td>-0.383367</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.000351</td>\n",
+       "      <td>1.637298</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1.641936</td>\n",
-       "      <td>1.673974</td>\n",
-       "      <td>-0.250408</td>\n",
+       "      <td>1.600781</td>\n",
+       "      <td>0.092157</td>\n",
+       "      <td>0.348892</td>\n",
        "      <td>1</td>\n",
-       "      <td>4.654716</td>\n",
+       "      <td>2.545765</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -155,14 +155,14 @@
       ],
       "text/plain": [
        "         x1        x2        x3  trt   outcome\n",
-       "0 -0.016308 -0.439257 -0.456160    0  1.015246\n",
-       "1  0.727746 -1.099745  1.480021    1 -0.732662\n",
-       "2  0.738903 -0.698852 -1.567861    0  6.228998\n",
-       "3 -0.772407 -1.777497  0.260820    0  0.000351\n",
-       "4  1.641936  1.673974 -0.250408    1  4.654716"
+       "0  0.523488  0.044881  0.671594    1  1.995582\n",
+       "1 -0.601303  1.339160  0.723706    1  0.008482\n",
+       "2 -0.073837 -0.425303  0.582251    0 -1.986655\n",
+       "3 -0.481951 -0.515395 -0.383367    0  1.637298\n",
+       "4  1.600781  0.092157  0.348892    1  2.545765"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -273,7 +273,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"43\" y=\"-392.83\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
        "<title>p</title>\n",
        "<polygon fill=\"none\" stroke=\"black\" points=\"195.12,-325.23 104.88,-325.23 104.88,-267.73 195.12,-267.73 195.12,-325.23\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">p</text>\n",
@@ -281,7 +281,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M58.6,-385.41C65.15,-374.77 73.28,-362.89 82,-353.13 88.29,-346.11 95.5,-339.23 102.83,-332.83\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"104.89,-335.67 110.28,-326.55 100.38,-330.32 104.89,-335.67\"/>\n",
@@ -309,7 +309,7 @@
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        "</g>\n",
        "<!-- Y -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node5\" class=\"node\">\n",
        "<title>Y</title>\n",
        "<path fill=\"lightgrey\" stroke=\"black\" d=\"M228,-98C228,-98 198,-98 198,-98 192,-98 186,-92 186,-86 186,-86 186,-52.5 186,-52.5 186,-46.5 192,-40.5 198,-40.5 198,-40.5 228,-40.5 228,-40.5 234,-40.5 240,-46.5 240,-52.5 240,-52.5 240,-86 240,-86 240,-92 234,-98 228,-98\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
@@ -322,16 +322,28 @@
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        "<polygon fill=\"black\" stroke=\"black\" points=\"216.5,-109.79 213,-99.79 209.5,-109.79 216.5,-109.79\"/>\n",
        "</g>\n",
+       "<!-- p&#45;&gt;like -->\n",
+       "<g id=\"edge12\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M164.77,-267.38C171.99,-253.65 180.86,-236.78 189.02,-221.27\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"191.99,-223.13 193.55,-212.65 185.8,-219.88 191.99,-223.13\"/>\n",
+       "</g>\n",
        "<!-- t_pred -->\n",
-       "<g id=\"node5\" class=\"node\">\n",
+       "<g id=\"node6\" class=\"node\">\n",
        "<title>t_pred</title>\n",
        "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"107\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
        "</g>\n",
+       "<!-- p&#45;&gt;t_pred -->\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
+       "<title>p&#45;&gt;t_pred</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M139.92,-267.38C135.32,-254.58 129.75,-239.05 124.5,-224.43\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"127.95,-223.66 121.27,-215.43 121.36,-226.03 127.95,-223.66\"/>\n",
+       "</g>\n",
        "<!-- T -->\n",
-       "<g id=\"node6\" class=\"node\">\n",
+       "<g id=\"node7\" class=\"node\">\n",
        "<title>T</title>\n",
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@@ -344,18 +356,6 @@
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-       "<title>p&#45;&gt;t_pred</title>\n",
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        "<g id=\"node8\" class=\"node\">\n",
        "<title>beta_trt_</title>\n",
@@ -365,7 +365,7 @@
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        "</g>\n",
        "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
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@@ -384,34 +384,34 @@
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-       "</g>\n",
        "<!-- beta_ -->\n",
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        "</g>\n",
+       "<!-- beta_&#45;&gt;like -->\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
+       "<title>beta_&#45;&gt;like</title>\n",
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+       "<title>beta_std</title>\n",
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-       "<!-- sigma -->\n",
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@@ -592,7 +592,7 @@
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@@ -881,7 +881,7 @@
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@@ -926,7 +926,7 @@
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      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 90 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 85 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -952,6 +952,20 @@
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      "output_type": "display_data"
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+     "output_type": "display_data"
+    },
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      "data": {
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@@ -966,7 +980,7 @@
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-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 16 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 17 seconds.\n",
       "Sampling: [alpha_outcome, beta_, beta_ps, like, sigma]\n",
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-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
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-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
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+      "  return 0.5 * np.dot(x, v_out)\n"
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+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
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-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 20 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n"
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@@ -1032,12 +1059,12 @@
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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1061,7 +1088,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -1101,111 +1128,111 @@
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>0.014</td>\n",
+       "      <td>-0.021</td>\n",
+       "      <td>0.025</td>\n",
+       "      <td>-0.068</td>\n",
        "      <td>0.025</td>\n",
-       "      <td>-0.031</td>\n",
-       "      <td>0.063</td>\n",
        "      <td>0.000</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>5102.0</td>\n",
-       "      <td>5283.0</td>\n",
+       "      <td>5020.0</td>\n",
+       "      <td>5717.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.694</td>\n",
-       "      <td>0.141</td>\n",
-       "      <td>2.438</td>\n",
-       "      <td>2.964</td>\n",
+       "      <td>2.521</td>\n",
+       "      <td>0.135</td>\n",
+       "      <td>2.263</td>\n",
+       "      <td>2.772</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>3902.0</td>\n",
-       "      <td>4999.0</td>\n",
+       "      <td>4231.0</td>\n",
+       "      <td>4610.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.152</td>\n",
-       "      <td>0.068</td>\n",
-       "      <td>1.027</td>\n",
-       "      <td>1.281</td>\n",
+       "      <td>1.257</td>\n",
+       "      <td>0.071</td>\n",
+       "      <td>1.125</td>\n",
+       "      <td>1.388</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>4307.0</td>\n",
-       "      <td>4850.0</td>\n",
+       "      <td>4655.0</td>\n",
+       "      <td>4823.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-15.480</td>\n",
-       "      <td>0.304</td>\n",
-       "      <td>-16.069</td>\n",
-       "      <td>-14.938</td>\n",
+       "      <td>-15.290</td>\n",
+       "      <td>0.311</td>\n",
+       "      <td>-15.905</td>\n",
+       "      <td>-14.732</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>3222.0</td>\n",
-       "      <td>4184.0</td>\n",
+       "      <td>3236.0</td>\n",
+       "      <td>3978.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.594</td>\n",
-       "      <td>0.252</td>\n",
-       "      <td>-1.050</td>\n",
-       "      <td>-0.104</td>\n",
+       "      <td>-0.428</td>\n",
+       "      <td>0.243</td>\n",
+       "      <td>-0.883</td>\n",
+       "      <td>0.037</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>3888.0</td>\n",
-       "      <td>4759.0</td>\n",
+       "      <td>4225.0</td>\n",
+       "      <td>4430.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.598</td>\n",
-       "      <td>0.161</td>\n",
-       "      <td>8.287</td>\n",
-       "      <td>8.896</td>\n",
+       "      <td>8.468</td>\n",
+       "      <td>0.158</td>\n",
+       "      <td>8.181</td>\n",
+       "      <td>8.773</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>3413.0</td>\n",
-       "      <td>4054.0</td>\n",
+       "      <td>3416.0</td>\n",
+       "      <td>4224.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.176</td>\n",
-       "      <td>0.282</td>\n",
-       "      <td>1.622</td>\n",
-       "      <td>2.687</td>\n",
+       "      <td>1.739</td>\n",
+       "      <td>0.264</td>\n",
+       "      <td>1.244</td>\n",
+       "      <td>2.244</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4386.0</td>\n",
-       "      <td>4926.0</td>\n",
+       "      <td>5099.0</td>\n",
+       "      <td>5160.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.156</td>\n",
-       "      <td>0.041</td>\n",
-       "      <td>1.074</td>\n",
-       "      <td>1.230</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>1.218</td>\n",
+       "      <td>0.040</td>\n",
+       "      <td>1.143</td>\n",
+       "      <td>1.294</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>6372.0</td>\n",
-       "      <td>5671.0</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>7245.0</td>\n",
+       "      <td>5765.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.124</td>\n",
-       "      <td>0.064</td>\n",
-       "      <td>3.000</td>\n",
-       "      <td>3.241</td>\n",
+       "      <td>3.206</td>\n",
+       "      <td>0.061</td>\n",
+       "      <td>3.097</td>\n",
+       "      <td>3.327</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>5326.0</td>\n",
-       "      <td>5325.0</td>\n",
+       "      <td>6023.0</td>\n",
+       "      <td>5902.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1214,29 +1241,29 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt       0.014  0.025  -0.031    0.063      0.000   \n",
-       "              beta_[trt]      2.694  0.141   2.438    2.964      0.002   \n",
-       "              beta_[x1]       1.152  0.068   1.027    1.281      0.001   \n",
-       "              beta_ps[0]    -15.480  0.304 -16.069  -14.938      0.005   \n",
-       "              beta_ps[1]     -0.594  0.252  -1.050   -0.104      0.004   \n",
-       "              alpha_outcome   8.598  0.161   8.287    8.896      0.003   \n",
-       "2-stage-model beta_[trt]      2.176  0.282   1.622    2.687      0.004   \n",
-       "              beta_[x1]       1.156  0.041   1.074    1.230      0.001   \n",
-       "              alpha_outcome   3.124  0.064   3.000    3.241      0.001   \n",
+       "1-stage-model alpha_trt      -0.021  0.025  -0.068    0.025      0.000   \n",
+       "              beta_[trt]      2.521  0.135   2.263    2.772      0.002   \n",
+       "              beta_[x1]       1.257  0.071   1.125    1.388      0.001   \n",
+       "              beta_ps[0]    -15.290  0.311 -15.905  -14.732      0.005   \n",
+       "              beta_ps[1]     -0.428  0.243  -0.883    0.037      0.004   \n",
+       "              alpha_outcome   8.468  0.158   8.181    8.773      0.003   \n",
+       "2-stage-model beta_[trt]      1.739  0.264   1.244    2.244      0.004   \n",
+       "              beta_[x1]       1.218  0.040   1.143    1.294      0.000   \n",
+       "              alpha_outcome   3.206  0.061   3.097    3.327      0.001   \n",
        "\n",
        "                             mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt        0.000    5102.0    5283.0    1.0  \n",
-       "              beta_[trt]       0.002    3902.0    4999.0    1.0  \n",
-       "              beta_[x1]        0.001    4307.0    4850.0    1.0  \n",
-       "              beta_ps[0]       0.004    3222.0    4184.0    1.0  \n",
-       "              beta_ps[1]       0.003    3888.0    4759.0    1.0  \n",
-       "              alpha_outcome    0.002    3413.0    4054.0    1.0  \n",
-       "2-stage-model beta_[trt]       0.003    4386.0    4926.0    1.0  \n",
-       "              beta_[x1]        0.000    6372.0    5671.0    1.0  \n",
-       "              alpha_outcome    0.001    5326.0    5325.0    1.0  "
+       "1-stage-model alpha_trt        0.000    5020.0    5717.0    1.0  \n",
+       "              beta_[trt]       0.002    4231.0    4610.0    1.0  \n",
+       "              beta_[x1]        0.001    4655.0    4823.0    1.0  \n",
+       "              beta_ps[0]       0.004    3236.0    3978.0    1.0  \n",
+       "              beta_ps[1]       0.003    4225.0    4430.0    1.0  \n",
+       "              alpha_outcome    0.002    3416.0    4224.0    1.0  \n",
+       "2-stage-model beta_[trt]       0.003    5099.0    5160.0    1.0  \n",
+       "              beta_[x1]        0.000    7245.0    5765.0    1.0  \n",
+       "              alpha_outcome    0.001    6023.0    5902.0    1.0  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1269,124 +1296,14 @@
     "\n",
     "**💡 Key Take-away:** With an underspecified outcome model, we may use a well specified propensity score for adjusting the model to retrieve accurate treatment effect estimates. However, this tends to breakdown if we have estimated both propensity score and outcome in a joint bayesian model due to feedback effects. The solution is to use the propensity score in a 2 stage fashion. \n",
     "\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Causal Estimate with Do-Operator\n",
-    "\n",
-    "We can also confirm the model implications through counterfactual imputation. This ties the Bayesian setting back the potential outcomes framework. The fundamental problem of causal inference, when seen as a missing data problem allows us to derive causal estimands through imputation of the potential outcomes. Here we \"push forward\" the posterior predictive distribution for $Y$ under different treatment settings. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "X_outcome_trt = X_outcome.copy()\n",
-    "X_outcome_trt[:, 0] = 1\n",
+    "</div>\n",
     "\n",
-    "X_outcome_ntrt = X_outcome.copy()\n",
-    "X_outcome_ntrt[:, 0] = 0"
+    "#### Propensity Score Quantiles - Joint Model"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: [like]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling: [like]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "with pm.do(\n",
-    "    joint_model,\n",
-    "    {\"T\": np.ones(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
-    "    prune_vars=True,\n",
-    ") as treatment_model:\n",
-    "    idata_trt = pm.sample_posterior_predictive(idata_joint, var_names=[\"like\", \"p\"])\n",
-    "\n",
-    "with pm.do(\n",
-    "    joint_model,\n",
-    "    {\"T\": np.zeros(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
-    "    prune_vars=True,\n",
-    ") as ntreatment_model:\n",
-    "    idata_ntrt = pm.sample_posterior_predictive(idata_joint, var_names=[\"like\", \"p\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -1835,26 +1752,39 @@
        "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
        "  stroke-width: 0.8px;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(3.26519676)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c2fcfc2d-8faf-48b9-9ce8-389fa490be4b' class='xr-array-in' type='checkbox' checked><label for='section-c2fcfc2d-8faf-48b9-9ce8-389fa490be4b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.265</span></div><div class='xr-array-data'><pre>array(3.26519676)</pre></div></div></li><li class='xr-section-item'><input id='section-10ee08e1-8ddf-4a0e-850c-a7055ae36627' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-10ee08e1-8ddf-4a0e-850c-a7055ae36627' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-366e0cf3-b389-48bf-ae6b-3c98cbbddd45' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-366e0cf3-b389-48bf-ae6b-3c98cbbddd45' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5e208367-3b35-465e-81b0-10c9d6ac1e68' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e208367-3b35-465e-81b0-10c9d6ac1e68' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
+       "array([0.218, 0.296, 0.363, 0.424, 0.489, 0.549, 0.615, 0.685, 0.763])\n",
+       "Coordinates:\n",
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dda364a8-5252-42cb-bbef-6285ac1ee2cb' class='xr-array-in' type='checkbox' checked><label for='section-dda364a8-5252-42cb-bbef-6285ac1ee2cb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.218 0.296 0.363 0.424 0.489 0.549 0.615 0.685 0.763</span></div><div class='xr-array-data'><pre>array([0.218, 0.296, 0.363, 0.424, 0.489, 0.549, 0.615, 0.685, 0.763])</pre></div></div></li><li class='xr-section-item'><input id='section-77bb82d3-6092-4399-a09e-51133992962e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-77bb82d3-6092-4399-a09e-51133992962e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-ab8a19b1-afcd-489a-8017-b117d680c4a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab8a19b1-afcd-489a-8017-b117d680c4a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a845860-8c2a-4301-ba02-bb88be5932ec' class='xr-var-data-in' type='checkbox'><label for='data-4a845860-8c2a-4301-ba02-bb88be5932ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92a2fad8-f3cb-46d7-8a24-2eb2dd64eff2' class='xr-section-summary-in' type='checkbox'  ><label for='section-92a2fad8-f3cb-46d7-8a24-2eb2dd64eff2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-154fe5c1-072e-4879-a7ed-441a90521226' class='xr-index-data-in' type='checkbox'/><label for='index-154fe5c1-072e-4879-a7ed-441a90521226' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb46bfa3-758d-4e26-b181-d945c000bb9c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eb46bfa3-758d-4e26-b181-d945c000bb9c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(3.26519676)"
+       "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
+       "array([0.218, 0.296, 0.363, 0.424, 0.489, 0.549, 0.615, 0.685, 0.763])\n",
+       "Coordinates:\n",
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "idata_trt[\"posterior_predictive\"][\"like\"].mean()"
+    "idata_joint[\"posterior\"][\"p\"].quantile(\n",
+    "    [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n",
+    ").round(3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Propensity Score Quantiles - 2 Stage Modular Model"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -2303,26 +2233,138 @@
        "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
        "  stroke-width: 0.8px;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(0.57154089)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1a7fb594-3ab9-42f6-ab74-1e54d3294b26' class='xr-array-in' type='checkbox' checked><label for='section-1a7fb594-3ab9-42f6-ab74-1e54d3294b26' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.5715</span></div><div class='xr-array-data'><pre>array(0.57154089)</pre></div></div></li><li class='xr-section-item'><input id='section-f529eb46-1414-4c4b-97e0-3bc0df2cd88a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f529eb46-1414-4c4b-97e0-3bc0df2cd88a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-22851600-b50f-45d1-a8d9-022e66c7ad4b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-22851600-b50f-45d1-a8d9-022e66c7ad4b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8f389dfe-d8ab-405c-ba4f-d4ed6473689c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8f389dfe-d8ab-405c-ba4f-d4ed6473689c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
+       "array([0.   , 0.001, 0.011, 0.077, 0.389, 0.837, 0.978, 0.998, 1.   ])\n",
+       "Coordinates:\n",
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2877366c-025a-4042-8c60-f15a56b9b73d' class='xr-array-in' type='checkbox' checked><label for='section-2877366c-025a-4042-8c60-f15a56b9b73d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.011 0.077 0.389 0.837 0.978 0.998 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.011, 0.077, 0.389, 0.837, 0.978, 0.998, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-e9e25682-a4c7-4ac1-9994-bce5cf5ec003' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9e25682-a4c7-4ac1-9994-bce5cf5ec003' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-d2fcfb8c-d8dd-459f-a4a8-407d9d42d484' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2fcfb8c-d8dd-459f-a4a8-407d9d42d484' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d25df01-48fa-4f0b-978f-b73b898efa2a' class='xr-var-data-in' type='checkbox'><label for='data-4d25df01-48fa-4f0b-978f-b73b898efa2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c4e6daf-a050-4e5e-b287-9c2bbd2ad9db' class='xr-section-summary-in' type='checkbox'  ><label for='section-9c4e6daf-a050-4e5e-b287-9c2bbd2ad9db' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-bc47afba-7379-45c8-9c5a-303d483a048e' class='xr-index-data-in' type='checkbox'/><label for='index-bc47afba-7379-45c8-9c5a-303d483a048e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e488b207-33a9-4f84-88a7-345c01715055' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e488b207-33a9-4f84-88a7-345c01715055' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(0.57154089)"
+       "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
+       "array([0.   , 0.001, 0.011, 0.077, 0.389, 0.837, 0.978, 0.998, 1.   ])\n",
+       "Coordinates:\n",
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "idata_ntrt[\"posterior_predictive\"][\"like\"].mean()"
+    "idata_treatment_2s_joint[\"posterior\"][\"p\"].quantile(\n",
+    "    [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n",
+    ").round(3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Causal Estimate with Do-Operator\n",
+    "\n",
+    "We can also confirm the model implications through counterfactual imputation. This ties the Bayesian setting back the potential outcomes framework. The fundamental problem of causal inference, when seen as a missing data problem allows us to derive causal estimands through imputation of the potential outcomes. Here we \"push forward\" the posterior predictive distribution for $Y$ under different treatment settings. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_outcome_trt = X_outcome.copy()\n",
+    "X_outcome_trt[:, 0] = 1\n",
+    "\n",
+    "X_outcome_ntrt = X_outcome.copy()\n",
+    "X_outcome_ntrt[:, 0] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "99431bac508e4538a1b25ed7761fce05",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [like]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "4fd9a610bc8b4ae9add222bcc7f1095f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with pm.do(\n",
+    "    joint_model,\n",
+    "    {\"T\": np.ones(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_trt},\n",
+    "    prune_vars=True,\n",
+    ") as treatment_model:\n",
+    "    idata_trt = pm.sample_posterior_predictive(idata_joint, var_names=[\"like\", \"p\"])\n",
+    "\n",
+    "with pm.do(\n",
+    "    joint_model,\n",
+    "    {\"T\": np.zeros(len(df1), dtype=np.int32), \"X_outcome\": X_outcome_ntrt},\n",
+    "    prune_vars=True,\n",
+    ") as ntreatment_model:\n",
+    "    idata_ntrt = pm.sample_posterior_predictive(idata_joint, var_names=[\"like\", \"p\"])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -2772,32 +2814,20 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(2.69365587)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0cfab33f-f11c-4024-beba-17fca56e86e5' class='xr-array-in' type='checkbox' checked><label for='section-0cfab33f-f11c-4024-beba-17fca56e86e5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.694</span></div><div class='xr-array-data'><pre>array(2.69365587)</pre></div></div></li><li class='xr-section-item'><input id='section-eba2d5ec-da78-48f0-a1fe-e13964079b12' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eba2d5ec-da78-48f0-a1fe-e13964079b12' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e60d8db0-be71-47de-bccb-f10587bb8034' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e60d8db0-be71-47de-bccb-f10587bb8034' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7b727a7a-ca9f-4947-a82a-bc8438ea427c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7b727a7a-ca9f-4947-a82a-bc8438ea427c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(3.38591982)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-554a91c1-985e-4a67-b851-e76581a27870' class='xr-array-in' type='checkbox' checked><label for='section-554a91c1-985e-4a67-b851-e76581a27870' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.386</span></div><div class='xr-array-data'><pre>array(3.38591982)</pre></div></div></li><li class='xr-section-item'><input id='section-a8aaa268-2446-41f7-8fb7-017b602f6b2b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a8aaa268-2446-41f7-8fb7-017b602f6b2b' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-85021981-a091-4aac-aacc-5847a653fead' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-85021981-a091-4aac-aacc-5847a653fead' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fcf5c0b4-1d58-4bc9-8271-18fdd51a25ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fcf5c0b4-1d58-4bc9-8271-18fdd51a25ec' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(2.69365587)"
+       "array(3.38591982)"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "(\n",
-    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
-    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Nets Example\n",
-    "\n",
-    "Next we'll asses a data set used by Andrew Heiss to demonstrate propensity score methods with `brms`. "
+    "idata_trt[\"posterior_predictive\"][\"like\"].mean()"
    ]
   },
   {
@@ -2808,85 +2838,1038 @@
     {
      "data": {
       "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
        "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
        "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>net</th>\n",
-       "      <th>net_num</th>\n",
-       "      <th>malaria_risk</th>\n",
-       "      <th>income</th>\n",
-       "      <th>health</th>\n",
-       "      <th>household</th>\n",
-       "      <th>eligible</th>\n",
-       "      <th>temperature</th>\n",
-       "      <th>resistance</th>\n",
-       "      <th>trt</th>\n",
-       "      <th>outcome</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "      <td>1</td>\n",
-       "      <td>33</td>\n",
-       "      <td>781</td>\n",
-       "      <td>56</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>21.1</td>\n",
-       "      <td>59</td>\n",
-       "      <td>1</td>\n",
-       "      <td>33</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>42</td>\n",
-       "      <td>974</td>\n",
-       "      <td>57</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "      <td>26.5</td>\n",
-       "      <td>73</td>\n",
-       "      <td>0</td>\n",
-       "      <td>42</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>80</td>\n",
-       "      <td>502</td>\n",
-       "      <td>15</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "      <td>25.6</td>\n",
-       "      <td>65</td>\n",
-       "      <td>0</td>\n",
-       "      <td>80</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
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+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
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+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
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+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
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+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
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+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
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+       "  display: none;\n",
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+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
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+       "  margin-top: 0;\n",
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+       "  color: var(--xr-font-color2);\n",
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+       "  padding-left: 0 !important;\n",
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+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
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+       "  display: contents;\n",
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+       "\n",
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+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
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+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
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+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
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+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
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+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
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+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
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+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
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+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
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+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
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+       "\n",
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+       "  grid-column: 1;\n",
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+       "\n",
+       ".xr-var-dtype {\n",
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+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(0.86502058)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e30d33e6-0fd1-4551-acb8-817dfbfa17bb' class='xr-array-in' type='checkbox' checked><label for='section-e30d33e6-0fd1-4551-acb8-817dfbfa17bb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.865</span></div><div class='xr-array-data'><pre>array(0.86502058)</pre></div></div></li><li class='xr-section-item'><input id='section-65bea3ca-9ba3-43a7-8d3c-bae6298cace9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-65bea3ca-9ba3-43a7-8d3c-bae6298cace9' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ec50fd0c-68ca-410a-a4db-d3fd4439a24d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec50fd0c-68ca-410a-a4db-d3fd4439a24d' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4cf8d63e-f181-46bb-b2b8-28651d6b9b05' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4cf8d63e-f181-46bb-b2b8-28651d6b9b05' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(0.86502058)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "idata_ntrt[\"posterior_predictive\"][\"like\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
+       "array(2.52089924)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0dbcdf78-91f4-47fe-9b98-6557ba1d69e0' class='xr-array-in' type='checkbox' checked><label for='section-0dbcdf78-91f4-47fe-9b98-6557ba1d69e0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.521</span></div><div class='xr-array-data'><pre>array(2.52089924)</pre></div></div></li><li class='xr-section-item'><input id='section-1d9eefdf-b09c-46ac-a975-4f3e5c41504e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d9eefdf-b09c-46ac-a975-4f3e5c41504e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5abd8658-95bf-47c4-89f0-d375f663b8fe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5abd8658-95bf-47c4-89f0-d375f663b8fe' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f0c61029-3991-45fe-8f7a-4c0c31206152' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0c61029-3991-45fe-8f7a-4c0c31206152' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'like' ()> Size: 8B\n",
+       "array(2.52089924)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(\n",
+    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
+    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Nets Example\n",
+    "\n",
+    "Next we'll asses a data set used by Andrew Heiss to demonstrate propensity score methods with `brms`. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>net</th>\n",
+       "      <th>net_num</th>\n",
+       "      <th>malaria_risk</th>\n",
+       "      <th>income</th>\n",
+       "      <th>health</th>\n",
+       "      <th>household</th>\n",
+       "      <th>eligible</th>\n",
+       "      <th>temperature</th>\n",
+       "      <th>resistance</th>\n",
+       "      <th>trt</th>\n",
+       "      <th>outcome</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1</td>\n",
+       "      <td>33</td>\n",
+       "      <td>781</td>\n",
+       "      <td>56</td>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>21.1</td>\n",
+       "      <td>59</td>\n",
+       "      <td>1</td>\n",
+       "      <td>33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>974</td>\n",
+       "      <td>57</td>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>26.5</td>\n",
+       "      <td>73</td>\n",
+       "      <td>0</td>\n",
+       "      <td>42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0</td>\n",
+       "      <td>80</td>\n",
+       "      <td>502</td>\n",
+       "      <td>15</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>25.6</td>\n",
+       "      <td>65</td>\n",
+       "      <td>0</td>\n",
+       "      <td>80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>4</td>\n",
        "      <td>True</td>\n",
@@ -3041,7 +4024,7 @@
        "[1752 rows x 12 columns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3055,7 +4038,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -3071,16 +4054,13 @@
     },
     {
      "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "44f64f9b3d3340e1a865108dca9a80c1",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
       ]
      },
      "metadata": {},
@@ -3090,8 +4070,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
@@ -3110,7 +4088,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 13 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 15 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -3121,16 +4099,13 @@
     },
     {
      "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "caec09316cf74298b441974cd98a44af",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
       ]
      },
      "metadata": {},
@@ -3150,7 +4125,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -3159,16 +4134,13 @@
     },
     {
      "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d9fbb77bbf78436894692f74ee4c5d91",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
       ]
      },
      "metadata": {},
@@ -3178,8 +4150,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
@@ -3198,13 +4168,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n"
      ]
     }
    ],
    "source": [
     "coords = {\n",
-    "    \"betas\": [\"trt\", \"income\", \"temperature\", \"health\"],\n",
+    "    \"betas\": [\"trt\", \"income\"],\n",
     "    \"betas_trt\": [\"income\", \"temperature\", \"health\"],\n",
     "    \"obs\": range(nets_df.shape[0]),\n",
     "}\n",
@@ -3213,7 +4183,7 @@
     "N = nets_df.shape[0]\n",
     "X_trt = nets_df[[\"income\", \"temperature\", \"health\"]].values\n",
     "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
-    "X_outcome = nets_df[[\"trt\", \"income\", \"temperature\", \"health\"]].values\n",
+    "X_outcome = nets_df[[\"trt\", \"income\"]].values\n",
     "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
     "T_data = nets_df[\"trt\"].values\n",
     "X_outcome[:, 0] = T_data\n",
@@ -3232,18 +4202,20 @@
     "    idata_net = pm.sample(tune=2000, target_accept=0.98)\n",
     "\n",
     "idata_treatment_2s_net, idata_outcome_2s_net, treatment_model_net, outcome_model_net = (\n",
-    "    make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
+    "    make_2step_model(\n",
+    "        X_trt, X_outcome, T_data, Y_data, coords, priors=priors, spline_component=True\n",
+    "    )\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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qZHN7W7du1YQJE+Tp6amyZctaJef3eh639++Nw4cP67XXXrPctCpTpowSEhK0a9cu7dy5U+vWrdP3339vGUugZs2aOnv2rM6ePZumX7r5ZoJ0+/r43nvvWbqgFClSRMWKFdPJkyc1ffp0LV68WNOnT1fZsmVtxuPNN9/UqlWrVLp0aZUrV04JCQl3iaD9VK1aVV5eXjpx4oQl9mapx1vo0aOHduzYIXd3d5UpU0b58uXT+fPntW3bNm3ZskWdO3cmmX8QGQByxOeff26YTCbjjTfeyNb6K1asMEwmk1G5cmVjwYIFlunXr1833nzzTcNkMhnNmjUz4uPjrdZr1qyZYTKZjCpVqhhTpkwxkpOTDcMwjKtXrxqdOnUyTCaT0atXL6NatWrGwoULLeudOXPGaNGihWEymYzffvvNapubNm2ylKVmzZrGxo0bLfOioqKMtm3bGiaTyejXr1+azzF//nzj1KlTVtMSExONP/74w6hcubLRokULSxnNxowZY5hMJqNSpUrGCy+8YJw9e9Yy7+bNm4ZhGEZkZKTlGNzJZDIZJpPJqFatmjF37lyrY/fyyy8bJpPJeOedd6zWSU5ONp555hnDZDIZPXv2NGJiYizzFi9ebFStWtWoUqWKYTKZjMjIyDT7TM8HH3xgmEwm44MPPrCafu7cOaNmzZqGyWQyhg0bZty6dctSjv/+97+WGO7fv9/msRkzZozV9Llz51rWefrpp41jx45Z5kVERFj2tXr1aqv1zLF96aWXMv2ZUjt9+rQRFhZm3Lhxw2r6+fPnjX79+hkmk8kYO3ZsmvVSf08nTJhgJCUlGYZhGAkJCcaAAQMMk8lkPP/882nWM3/327VrZ5w5c8YyfcOGDUaNGjUsMdq0aVO2Ps+dpk6daphMJqNOnTpGYmJiptcbNWqUYTKZjODgYOPTTz81du7cafmMd3O377VZdo95r169DJPJZLRv396qTm3dutWoXbt2usdu5syZhslkMpo3b241LykpyRg/frxhMpmMxo0bW+pmZpjjn7p+pv4cVatWNUwmk7FkyRLDMP53XCpVqmRUr17dWLZsmWV58zlw3759RuXKlQ2TyWRMmjTJcl65deuW8dlnnxkmk8moVauWER0dbbW/l156yXJ+69+/vxEbG2sYhmGkpKQY06ZNs8y7sy6uXr3aCA4ONurWrWspp5n5/FajRo00+8vO+Wno0KGW88idcT9y5Ijx+++/W027W7027z89nTt3Nkwmk7F06dI08xISEoyQkBDDZDIZhw4dSncbqa1fv96yz5dfftlYtWqVERcXl6l133jjDcNkMhktW7Y0duzYYTXvxIkTxqRJk6ymjRgxwjCZTEbDhg2NPXv2WC375JNPGiaTyXj77bet1snMd+vcuXNGSEiIERwcbPz444+W87VhGEZ4eLjRqFEjw2QyGStWrMjU5zKM/53L0zv39unTxzCZTEbv3r0NwzCMa9euGfPmzTOuXLlitdzVq1ct349Bgwal2Y75+12pUiXjk08+sTr25s9nj/O4vX5vxMbGGi1btjRMJpPxxRdfGNevX7fMO3z4sNGmTRvDZDIZv/76q83jeee1MbVvv/3WMJlMxr/+9S9j3759VsfBfI5o37691TrmulSpUiWjfv36xvbt2y3zMnvOM8fgbmUzM/9muPPcaL7G3/lbwmzx4sWGyWQy2rZta3V+NwzDuHTpkjF16tRM1zu4FjroAjkkOjpakrLdHNv8RL5r165q27atZbqPj4+++eYbBQQEKCoqSqGhoTbXb9y4sXr06GF5ku3r62tplr1q1So9//zzVq+9KV68uHr27CnpdnNaW5KSktSvXz/Vq1fPMq1EiRL6z3/+I0launSppUml2b/+9S/LKK1mnp6eev755/X0008rMjJSO3bssLk/Dw8Pff/99ypWrJhlWlaejnbs2NFqcC0fHx8NHjzY5mdcv369Dh06JH9/f40aNUp+fn6Wea1bt1avXr2UmJiY6X1nZMaMGbpx44YqVaqkjz76yPIEzN3dXX369FGTJk2UmJho9SQ9M5KSkjRixAirJwvVq1fX888/L0las2aN3T6DdPtJ2VNPPZVmkLLChQvr66+/lpeXl/76669012/YsKF69eplecLn5eWlDz/8UN7e3tq5c6euXr1qWfbkyZNatmyZJOk///mP1dOX+vXr66233rJrjM6fP6/x48dLkl5++WV5ema+Mdvrr7+uKlWqyDAM/f7773r++edVq1YtdenSRd9++612796d7XJl55gfO3ZMq1atkpeXl0aPHm1Vp2rXrq3BgwfbPHYJCQkaN26cPDw8NHbsWKuWEh4eHvr3v/+t1q1b69y5c5Y3dtyLS5cuaeDAgUpISJCfn58aNGhgNT85OVlvvfWWWrRoYZlmflo4efJkJSUlqUWLFurZs6fl3Oft7a1PP/1UFSpU0PXr1zVz5kyb+/bz89Pw4cMtTyzd3NzUrVs3PfHEE0pKStLPP/9stfzo0aNlGIa+/PLLNE/fn3/+eXXv3l2xsbGaPXu2zf1l5fxk7m7wyiuvpIl7uXLl9MILL9jcR3Z06NBBkqya8pqtWrVKMTExqlq1aqZfHdigQQNL+TZu3KhevXqpdu3aatu2rT799FOtXLlSycnJadbbtWuXli1bJm9vb02aNEnVqlWzml+mTBnLNUuSbty4YYntkCFDVKVKFatlzdepxYsXWz1xN7vbd+vnn39WTEyMXn75ZfXu3duqxULNmjX1+eefS7rdUuNeGYahqVOnWppvP/XUU5Kk/Pnzq127dmm6Bfn6+uqTTz5R8eLFtWjRIiUlJdncboUKFfTZZ59ZdTMwf757PY/b8/fG3LlzderUKbVq1Uoff/yx1SCh5cuX17fffis3N7c09TEjly9f1tSpU+Xj46P//ve/Vl2gcufOrU8++USPPvqo9uzZo23btqVZPzk5WZ999plq1KhhmZaV3yPS7S4AwcHBaf6zx1s7zN0xOnToYHV+l6QCBQro5ZdfTtPFBA8GmtkDOSQ2NlaSsnXyjI2NtSS43bp1SzM/T5486tSpk6X/ZMeOHdMsY2ta6ouXrfnmfprm/r538vLysrlexYoVVatWLYWHh2vdunXq0qWL1fyjR4/q77//1qFDh3T16lXLj42zZ89Kut380lYT3QYNGtzTq+dslTU4OFi5cuXS9evXrQY027BhgyTpiSeeSPNKGElq3759mncC34v169dLUrpNsLt3767Vq1dblsusSpUq2ex6YZ6WXmzvRUpKilasWKH169crMjJScXFxliaibm5uOnHihOLj423WBfNNhtTM754+fvy4IiMjLTdW1q1bJ8MwVKdOHZuJRMeOHfXtt9/aJaFPSEjQO++8o5iYGFWqVEmvv/56ltb38fHRzJkzNWPGDM2ePVtHjx5VfHy8tm/fru3bt2vSpElq0aKFRowYIV9f3yyXL6vH3Pz9DgkJSXNzTZLatGmjzz//XDdv3rSavmPHDl24cEGPPvpouuNMNG/eXEuWLNHWrVv1r3/9K0ufY8KECZZk1/xqOnNT7C+++MLmaP/PPfeczW2Z64qtc6Y5Mf/000+1fv16vf3222mW6dixo80f5127dtXSpUu1bt06y7SoqCjt3btXBQsWtEr+UmvevLmmTJmirVu32pyflfOT+cbVkiVLFBwcnKOvKnvqqaf05Zdfas2aNbp8+bJVP2xzgp/V11gOHTpUDRs21PTp0xUeHq6kpCQdPHhQBw8e1KxZs1ShQgWNHDnSqu/z8uXLJUmtWrWyaiqdnvDwcMXHx6tEiRI2Y/LYY4+pRo0aioiI0Pr1622O85Ded2vp0qWSbJ+vJKlRo0by8vJSRESEkpKSsnTjb9++fZZrZlJSkk6dOqWYmBhJt28k3/mu+Y0bN2rlypU6ceKEYmNjlZKSIul2/YmPj9fJkydtjg2R0SC793Iet+fvjYyOdcWKFRUYGKjIyEidO3cuTeKantWrVyshIUHNmze3uY67u7uaNm2q3bt3a8uWLWnGMcqfP3+6dT2z0ns1XWa7td2N+TOtXr1azz//PIn7Q4RkHsgh5jvc8fHxWV731KlTSklJkbe3t80f3tLtO9TS/57Y3MnWD5XUP8pszTf/cDTfiLhTsWLF0n2VVrly5RQeHp6mPBMmTNDo0aMtPzhsSf30NbVHHnkk3XUyI71BuQoUKKCzZ88qLi7O8pnN5U7v1YCBgYHy8fHRjRs37qlMZub9meN4J3OyevHiRd24cSPTrzBL7/tijn16sc2ua9euqVevXoqIiMhwOVs/LtKLUcGCBXX8+HHFxcVZppmPWXrfCx8fHxUtWvSeb1gYhqHBgwcrPDxchQsX1rhx42z2Hc5Irly51KNHD/Xo0UPR0dHatWuXtm3bZunjvHz5cvXt29fSFz2zsnPMM/p+58qVS2XKlLEa7EuSDh06JOl28nrnTTqz69evS/pfa6SsOHHihKVsXl5eKly4sGrXrq1XX33V5uCBAQEBNgf5unbtmi5fvixJNhMZKeNzZnrfK/P01HXRfFxu3bqV7nExj7eQ3nHJyvnpxRdf1J9//qnx48drwYIFatiwoWrXrq26deve0w1PW/Lly6cnn3xS8+bNU2hoqOVtDJcvX9aaNWvk5eWVrdHVn3jiCT3xxBO6ceOGdu3apR07dmjlypXatWuXDh8+rB49eig0NNQS32PHjklSmify6Tl+/Lik2/FK72ZH+fLlFRERYfM7kN53KzY21jL4WHqDAprdunVLMTEx6fZbt+XGjRuWMQHc3d3l6+urkJAQ/etf/1L79u0tnyUhIUH9+/e3tE5Kj/lGwJ3SqxdSzpzHs/t7w1y3vv/+e/344482y3HlyhVJt+tWZpN583Z37tyZbp29dOmSZbt3KlOmTKbGiLibzLyaLrtatmypwMBArVu3To0aNVKjRo1Uu3ZthYSEZLoVDVwTyTyQQ8w/sLKTWJgvbgUKFEj3R4n5x0J6yZmtgWpSb8vWBTmjpz13Dm5na17q8mzdulWjRo2Sh4eHBgwYoObNm6tEiRLKkyeP3Nzc9N133+nHH39Mt1lgeiNyZ1Z665ufThipBhgy33S52zut8+XLZ7dk3pykpndMU0+PjY3NdDKf0We2t+HDhysiIkJly5bVu+++q2rVqikgIMCS/DZu3FjR0dHpPi1P7+mBrRiZj5mtH9xmhQoVuudk/osvvlBoaKj8/f01ZcoUu7y5oGjRomrVqpVatWql999/XyNHjtSUKVO0efNmhYeHq1atWpneVnaOeWa/33cyJ+qXL1+2JMvpST1YYFY+S1ae8qb3/U590ye9OpXROTMrddF8XFInYulJ77hk5fxUqVIl/frrrxo7dqw2bdqkWbNmadasWXJzc9Pjjz+uDz/88K7JWlZ16NBB8+bN059//mlJ5kNDQ5WYmKjWrVvf9Q0QGfHx8VGDBg3UoEEDvfHGG1q8eLH69++vS5cuadasWfr3v/8tSZZzbWZbrmTm/GDrOmWWXjxSn/MzirWkNK1bMpJ6NPK7mThxopYtW6bChQvrvffeU506dVS4cGFLve/SpYu2b9+e7vX0bk9q7/U8bs/fG+bjvXfv3nTLa5aVY22us+aB8u7GVp29198jOS1v3ryaMWOGvv/+ey1ZskRhYWEKCwuTdPsm1nvvvadmzZo5uJTICSTzQA6pUaOGfvvtt2w1uzP/qL58+bIMw7B50bt48aLVsvfD3X7Mm+elLo+5j91rr71m87Vh586ds3MJs8/8YyN1UnAnez7Vzps3r65fv65Lly7ZfGphfkIg3d8YZ0VSUpJlVODx48enebKZlJRk+Z7ag/nH1N2+h6mPW3Z89913+u2335Q3b15NmjTJaoR/e/H09NT777+vv/76SxcuXNDu3bszncxn95ibv993+w7fLcF59tln9e2332aqjI6Q+of2pUuXVKRIkTTLZHTOTO97lXq6eV3z/mrWrJluH3x7q169uiZPnqzY2Fht375dmzdvVmhoqNatW2d5qp2dLhu21K5dW0FBQdq7d68OHTokk8lkGcU+q03sM/Lkk09q0aJFWrx4sXbt2mWZbj7W165dy9R2snJ+yMo59c5R3x01Grj5ejp8+HA1atQozfzsXk/v93k8I3nz5tW1a9e0dOlSq1Hb7bFdSerTp4/69+9vt+06k2LFimn48OH64osvtHfvXm3evFlLlizRnj179Oabb2rmzJmZbukC18EAeEAOadKkifLmzatLly5pyZIlWVq3dOnScnd3V0JCQpoB5cyOHDkiSZnqS2gvZ8+eTTcZML+6LXV5zE0TUw8Yk9qBAwfsW8B7YC73nc2Mzc6cOWO3p/Kp92eO450OHz4s6fbTxMw+lc+Oe+l7e/nyZcXFxcnf399mE+XDhw/bHNgqu8zHzNyc9k6xsbH3dIPop59+0o8//qhcuXLpxx9/1GOPPZbtbWXE3d1dJUqUkCSr1xtlFI/sHnPzgIjmpqZ3SkhIsAyglJq5abr5++isfH19LU9k03uNZEbnTHOz7juZt5e6LpqPi/k95vdTvnz51KhRI7333ntatGiRSpcurejoaLsPbpl6ILxDhw5p7969Kly4sM1E8l6ZuwelfvJrPsYZvTbRzPwdP3r0aLqvNszOdTN//vyWm0Ppna/vh7tdT69cuZKtbi7S/T+PZ8TcwiSr55yMzp2uci5LT1au1Z6enqpWrZp69eqluXPnqk2bNkpOTtbcuXNzsIRwFJJ5IIf4+vpaBmL66quvMmz6Gx4ebmnCly9fPssF21bzu5s3b1oGjWrYsKE9i31XiYmJmjNnTprphw4d0rZt2yxNPs3Mg0nZelq6bt06p0rmzeVeunSpzaR93rx5dt2fOW6//fabzfnmuOd0fM3NI7PaNDT1ujdu3LC5/k8//XRvhbuD+Vhs3brV5o/q2bNnZ3vwu1mzZumbb76Rl5eXvv/++zTvt8+qjFoIXLt2zWZikVE8snvMzaPCb9682ZIUpBYWFmZze7Vr11ZAQIAOHDigzZs33+UTOZ75+2HrnGkYhn799Ver5e40Z84cm++NNj95T31uCwoKkslkUkxMjOWJtSPkyZPH0nrk/PnzmVons3X+X//6lzw8PPTXX39ZrjeZfbd8aplpLWPuq526LpjfH79s2TKbo8/fqVatWsqTJ4/Onj1rGTwvtd27dysiIiLNdSozzG8r+OWXX7K0nj2Z42breP7888/ZTrjv93k8I+ZjPW3atHRvythi/r2R3ve6SZMm8vLy0po1a9IdN8OZZfT57sb8ND6z5wi4FpJ5IAf17dtXNWrU0MWLF9W5c2f9+eefafpiHT9+XJ9//rm6d+9u1TzQPHr2zJkzrV4Jc+PGDQ0cOFCXL19WYGBgtgYiyi5PT0+NHTtWW7ZssUw7d+6cPvjgA0m3L8Kpm4ybmw5PnDjRqoXBrl279OGHH2b5tS45qUGDBgoODtaVK1f03nvvWTXtXLZsmSZOnGjX5pVdunSRj4+P9u/fr6+++sqSRKSkpGjSpEmW14j16NHDbvu0xdwf/MiRIxn2ib6Tr6+vKlSooKSkJKvPkJycrIkTJyosLMyux6xMmTJq0aKFDMPQBx98YPUUfvPmzRo3bly29rdo0SJ99tlncnd313/+8x+79Ct8/fXXNWDAAG3cuDHNDYb9+/frjTfeUGxsrAoXLmyVXBYoUED58uXTpUuXbD5hzu4xL1u2rJo2barExES98847Vk/xwsPDNXz4cJvr5cqVS2+99ZYk6e2339Y///yT5gf2oUOH9M033yg8PDwLR8j+Xn31VXl6emr58uWaMmWK5Yl5QkKCvvzySx06dEj58+dPd/CrmJgYffjhh5auNoZh6LffftPSpUvl4eGRpi6+9957cnNz09ChQzV79uw0fZUjIyP13//+1zI6970YMmSIwsLC0gyounXrVm3cuFGS0n3bwJ3MT8FTn8dtKVKkiBo1aqQLFy5oxowZkrLXxP7HH39U165dFRoamuZG6fnz5/Xpp59abganfhtC1apV1apVK926dUuvv/66VRN86faruCZPnmz5t4+PjyW2Q4cO1b59+yzzTp06pUGDBkm6PVp/eoMPpuf111+Xv7+/5s+fr+HDh6dp+h8TE6M5c+ZYXmWZE8zX0xEjRlhayBmGoT///FNTpkzJ9vX0fp/HM/LCCy+oVKlS2rx5s9577700CWhsbKzCwsI0fPhwq+nm77W5a+OdihYtqpdfflmJiYl67bXX0tycNAxDu3bt0pAhQ9JtEelI5s+3e/dumwMrT506VVOnTk3TJeLMmTOWhzCZPUfAtdBnHshB3t7emjx5sgYPHqwlS5bogw8+0JAhQ1S6dGnlypVL58+ft/yoLlasmNUPjGbNmqlXr16aOHGi3nvvPY0cOVIFCxbUsWPHFBcXJz8/P40ePdrmwDM5pUaNGsqXL5+6deumoKAg5c2bV4cOHVJSUpJKlSqVZqTfF154QTNnztSpU6f01FNPqWzZskpMTNTx48dVvnx5Pf3001l+V2xOcXd319dff61u3bpp5cqVaty4scqVK6crV64oKipK3bp104oVKxQVFXXPI9pKt39YfP3113r77bf1yy+/6M8//1Tp0qV15swZXbp0Se7u7vrkk09UsWJFO3y69BUoUED16tXTpk2b1LJlS5UvX165cuVSoUKF9N1332W4/rvvvqs33nhDs2bN0pIlS1SyZElFRUXpypUreuONN7RgwQKbT4Kza8iQITpw4ID27Nmjli1bqkKFCoqLi9OJEyfUtGlTxcbGpvsqsPS8//77SklJkY+Pj3799VfLE9w7ffLJJ5n+MZSSkqLQ0FCFhoZaRor39vbW+fPnLT9OfX19NXr0aKs+uW5ubnryySc1d+5ctWvXThUqVLDMNz9xzu4x//zzz9WlSxft2rVLLVq0kMlkUlxcnI4fP67mzZvr+vXr2rp1a5rvd9euXXX27FlNnDhRffv2lb+/v0qVKqWUlBRFRUVZRs++19YM96pSpUr66KOPNHToUP3nP//R5MmTVbx4cZ08eVLXrl2Tt7e3vv3223RfA/XGG2/ov//9r1asWKGyZctaxerdd99NM7p+kyZN9Mknn+jLL7/Uxx9/rOHDhysoKEhubm46d+6c5Uf1Z599ds+fbceOHfr999/l6empMmXKWG74mOPctm1b1atXL1Pbeuqpp3T48GH16dNHwcHBlq4Do0aNSnNsOnTooFWrVikpKSlL75ZPzc3NTeHh4QoPD5e7u7tKly4tX19fXb58WefOnVNSUpI8PDw0aNAgVa1a1WrdL7/8UhcvXlRERISef/55BQYGKiAgwHJ8AwMD9dprr1mWf/vtty19hdu1a6fy5cvL09PT0lS8YsWK+vTTT7P8GYoVK6bx48frzTff1NSpU/Xbb7+pbNmyypMnjy5fvqzTp0/LMAw9/fTTWd52ZvXr108bNmzQihUr1LhxY5UpU0YXLlzQ+fPn9dxzz+ns2bMZ3qBJz/0+j99Nvnz5NGHCBPXq1UuhoaEKCwtT2bJl5ePjo6tXryoyMlLJyclp+n43bNhQfn5+Cg8PV9OmTVWqVCl5enqqUaNGljF7+vfvr/Pnz2vhwoXq3r27ChcurOLFi1u6NJpvkpgHfXQmVapUUVBQkOVaV7ZsWXl5ealixYr66KOPFBUVpWnTpmn48OEKDAxUwYIFdePGDZ08eVLJyckymUw5/nAAjkEyD+SwfPnyacyYMdq2bZvmz5+vbdu26fTp00pMTFRAQICaNm2qVq1a6ZlnnkmTmA8YMEA1a9bU9OnTtWfPHl28eFFFihRR27Zt1adPH5vvK81Jbm5uGjdunCZMmKCFCxfqyJEjCggIUMuWLfXWW2+lGUXYx8dHM2bM0MiRI7V69WodP35cRYsWVY8ePdS3b1+nSeTNKlasqLlz52r06NFav369Dh8+rDJlyujTTz/Viy++qNDQUElZGzzJ3PTR1pONFi1aaN68eZo4caI2bdqkAwcOKH/+/GrVqpVee+21dMcasLeRI0dq5MiRWr9+vfbu3aukpCQFBgZmat3mzZtr0qRJ+uGHH7R//34dP35cFSpU0Icffqi2bdtqwYIFdi1r0aJFNWfOHH3//fdavny5jhw5ohIlSuitt95Sr1699Oqrr2Z5m+Yn5xmNTG4eDTkzpkyZorVr12rNmjU6fPiwzp8/r+vXrytv3ryqVq2aGjZsqBdffNHmCOofffSR8uXLp+XLl+vgwYNpnuxn95gXK1ZMs2fP1pgxY7RixQodPnzY6th17txZku3v94ABA9SsWTP99ttvCg8P14EDB5QvXz4VLVpULVq0UOvWrVW/fv1MH5+c0rVrVwUHB2vKlCnavn27Dhw4YDnP9u7dO91XQUq3uxTMmDFDY8eO1Y4dO5SQkKDq1aurZ8+eatWqlc11XnzxRdWpU0fTpk3Tpk2bdOTIEXl7e6tYsWKqV6+eWrVqpSZNmtzz5xo8eLCWL1+u8PBwnT17VqdOnVKRIkUs36OstCbp1auXUlJS9Pfff+vIkSOWJ7G2RvBu1qyZAgICdOXKlWwPfPfuu+/q8ccf15o1a7Rz505FR0crKipKXl5eCgoKUu3atdWlSxebNy79/Pw0ffp0/fHHHwoNDdXhw4d18eJFFS5cWK1bt1a7du2sls+dO7cmT56smTNnasGCBZYxDcqVK6enn35ar7zySrbfv12rVi2FhYXpl19+0apVqyyvkC1atKgaNWqkZs2aWZqI54SqVavqt99+0+jRoxUREaHjx4+rTJky6tWrl1566aV7SkDv93k8I+XKldOCBQs0Y8YMLVu2TEePHlVkZKQKFy6sOnXqqEmTJmmOtY+PjyZPnqwxY8ZYXn2YkpJidS3z9PTUN998o2eeeUZ//PGHdu7cqf3798vX11dBQUGqUaOGWrdubRl/wZm4u7trwoQJGjVqlLZt26Zdu3ZZda3o3Lmz/Pz8tGnTJp06dUr79++Xn5+fHn30UT377LPq2LHjfX34g/vHzchKhxQAD6XNmzere/fumX6FzoPoypUrqlevnnx9fbP05LdPnz5auXKlXnvtNQ0cODAHSwhkX0pKikJCQnT9+nVt2bJFfn5+ji7SfdOtWzdt2bJF06ZNc3jrAmdz7do1Pf744zIMQ+vWrbunV9IBAOyPPvMAkAnmAfCy+rTcPHq4Pd8BDdjb0qVLdf36dZUvX/6hSuRxd3/99ZcSEhLUokULEnkAcEIk8wDw/w4ePKhZs2ZZvX7PMAwtWLBA33//vSRZmiJnxtSpUxUVFWXptwc40sWLFzVp0iRduXLFavqaNWs0ZMgQSVn7fuPBFhMTYxnJvGvXrg4uDQDAFvrMA8D/i4mJ0aeffqrPP/9cJUqUkL+/vyIjIy0DfL3wwgtq3rx5htt57bXXdPDgQV24cEGS1LNnT8t7igFHuXnzpr799luNHDlSxYoVU6FChXTu3DnL97Rp06YkbdDEiRO1atUqHT58WNeuXVPDhg3pfgAATopkHgD+X/ny5dWzZ0+tX79eZ8+e1dmzZ+Xj46P69eurU6dOmR6peNeuXUpMTFSVKlX0wgsv6IUXXsjhkgMZK1iwoPr27au1a9fq9OnTOnDggHLnzq2aNWvqueeeU8eOHe3ypga4tmPHjik8PFz+/v567rnnNHjwYEcXCQCQDgbAAwAAAADAxdBnHgAAAAAAF0MyDwAAAACAi6HPvAu5cwRiW/z8/HT16tX7UBpkFjFxLsTD+RAT5xEbG6tSpUpJkiIjI5UvXz4Hlwhm1BPnQjycDzFxPsTk3gQEBGS4DE/mHzDu7oTU2RAT50I8nA8xATJGPXEuxMP5EBPnQ0xyHkcYAAAAAAAXQzIPAAAAAICLIZkHAAAAAMDFkMwDAAAAAOBiSOYBAAAAAHAxJPMAAAAAALgYknkAAAAAAFwMyTwAAAAAAC6GZB4AAAAAABdDMg8AAAAAgIshmQcAAAAAwMWQzAMAAAAA4GJI5gEAAAAAcDEk8wAAAAAAuBiSeQAAAAAAXAzJPAAAAAAALoZkHgAAAAAAF+Pp6AIAAAAAAJzfokWLtHPnTh04cEBHjx5VYmKiPv74Yz3zzDNZ3tbOnTs1a9Ys7d69W1euXFGePHlUoEABBQcHq27dumrTpo1l2dDQUA0bNizb+3pQkcwDAAAAADI0YcIEnTt3Tv7+/ipYsKDOnTuXre2Ehobqyy+/lIeHhxo0aKBSpUrp1q1bioqK0oYNGxQREWGVzMM2knkAAAAAQIY+/PBDlSpVSsWLF9e0adM0fvz4LG/j5s2bGjVqlPLmzauJEyeqXLlyVvOTkpIUHh5uryI/0EjmAQAAAAAZCgkJuedtHD16VHFxcWrcuHGaRF6SPD09VbduXcu/hw4dqrCwMEnSsGHDNGzYMMu8TZs2SZIOHDig0NBQbd++XdHR0UpKSlLJkiXVunVrde3aVZ6eadPe7du3a+LEiTpw4IC8vb1Vp04dvfXWW/rss88UERFh2baZYRgKDQ3VwoULdfToUSUnJ6ts2bLq0KGDnn322Xs+LtlBMg8AAAAA98owpKR4R5cifZ55JDc3R5dCvr6+kqQzZ84oJSVF7u53H5O9SZMmunHjhtasWaPGjRurQoUKaZZZsGCB1q1bp+rVq6t+/fq6deuWtm/frvHjx2vfvn0aMWKE1fKbN2/Wu+++K09PT7Vo0UKFChXS9u3b1bt3b+XPnz/N9g3D0JAhQ7R06VKVLl1arVu3lqenp7Zs2aIvv/xSx48f11tvvXUPRyV7SOYBAAAA4F4YhvLMelEeZyIcXZJ0JZeoqfgXfnV4Ql+yZEkFBwfr4MGDevPNN9WmTRtVqVJFpUuXloeHR5rlmzRpouvXr1uSeVsD4HXv3l3vvfee1fqGYeirr77SX3/9pZ07d6patWqSpOTkZA0fPlyGYeiHH35Q1apVLet88cUX+vvvv9Nsf8GCBVq6dKmeffZZffDBB5Yn/YmJiRo8eLBmzJihJ554QhUrVrzn45MVvJoOAAAAAO6Z4596uwI3Nzd99dVXevTRRxUREaFhw4apS5cuatGihfr27avQ0FAlJydnaZvFixdPcyPAzc1NHTp0kCRt3brVMn3nzp06d+6cGjVqZJXIS1Lv3r1t3lCYM2eO8uTJo/fee8+qyb6Xl5f69OkjSVq6dGmWymwPPJkHAAAAgHvh5nb7qTfN7DMlMDBQkyZN0qFDh7R161bt27dPu3fv1rZt27Rt2zYtWrRI3333nby9vTO1vcTERM2ePVvLli3TiRMnFB8fL8MwLPMvXrxo+fvw4cOSpMceeyzNdooUKaKiRYvqzJkzlmk3b97U0aNHVahQIU2bNi3NOklJSZKkkydPZu7D2xHJPAAAAADcKzc3ySuvo0vhUkwmk0wmk+Xf4eHh+uyzzxQeHq65c+eqS5cumdrO4MGDtW7dOpUuXVotW7ZUQECAPD09dePGDc2aNUsJCQmWZWNjYyVJ/v7+NrdVoEABq2T+2rVrMgxDFy5c0OTJk9MtQ3z8/b+RQzIPAAAAAHC4WrVqqXfv3ho2bJi2bduWqWR+3759WrdunerVq6eRI0daNZPfs2ePZs2aZbV8vnz5JEkxMTE2t3f58mWby1esWFFTp07NwqfJefSZBwAAAAA4hdy5c6eZZk7QU1JS0syLioqSJDVo0CBNf/cdO3akWd48Gv6uXbvSzDt//ryio6OtpuXLl09BQUE6ceKErl+/nrkPcZ+QzAMAAAAA7oszZ85o9uzZlubuqcXHx1uepJtHn5f+9zq78+fPp1mnWLFikm4PbJfasWPHbPZxr1atmooVK6a1a9dq7969VvMmTJhgc/C9Tp066ebNmxo+fLjN5vRnzpyxapp/v9DMHgAAAACQoQULFliS5qNHj0qSFi5cqO3bt0u6/Rq5Jk2a3HUbN27c0MiRIzVu3DhVq1ZNjzzyiHLlyqULFy5o3bp1unbtmipWrKhOnTpZ1qlatapy5cqlWbNmKTY2VgEBAZJuv5KucuXKqly5spYvX65Lly6pSpUqio6O1tq1a/X4449rxYoVVvv38PDQwIED9f777+uNN95Qy5YtVbBgQUVEROjChQuqUKGCjhw5YrVOu3bttGfPHoWFhWnXrl2qU6eOChUqpMuXL+vkyZPau3evhg4dqhIlStzbAc4iknkAAAAAQIZ27typsLAwq2m7du2yNFkvXrx4hsl8UFCQhg8frs2bN2vv3r1avHixrl+/rnz58qls2bJq2rSp2rdvr1y5clnW8fPz0/Dhw/XTTz9p3rx5unXrlqTbybyHh4dGjhyp8ePHa9OmTdq/f79Kliypfv36qUGDBmmSeel2k/wxY8Zo4sSJWrZsmXLlyqU6depo2LBhevfddy395M3c3Nz06aefqkGDBlqwYIHWr1+vuLg4BQQEqFSpUurXr5/q1KmTrWN6L9yM1GP2w6lduXIlw2UCAgIytRzuH2LiXIiH8yEmziM2NlalSpWSJEVGRqb5MQPHoZ44F+LhfIiJ83HFmMTGxurpp59WuXLlNGXKFIeWxdz64G7oMw8AAAAAeGjEx8en6bOfnJyscePG6datWxm2LnAWNLMHAAAAADw0IiMj1bt3b9WtW1eBgYGKi4vTjh07dPz4cT3yyCNW/fWdGck8AAAAAOChUbhwYTVv3lwRERHatGmTkpOTVbRoUb344ot65ZVXlCdPHkcXMVNI5gEAAAAAD42AgAB98sknji7GPaPPPAAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAX4+noAgAAAAAAnNv58+e1YsUKbdiwQSdPntSlS5fk6+urxx57TC+99JKqVq2ape3t3LlTs2bN0u7du3XlyhXlyZNHBQoUUHBwsOrWras2bdpYlg0NDdWwYcP08ccf65lnnrH3R3NZJPMAAAAAgLuaPXu2pk+frpIlSyokJEQBAQGKjIzUmjVrtGbNGg0dOlQtW7bM1LZCQ0P15ZdfysPDQw0aNFCpUqV069YtRUVFacOGDYqIiLBK5mEbyTwAAAAA4K4qV66sH3/8UdWrV7eavmPHDvXt21dff/21GjduLG9v77tu5+bNmxo1apTy5s2riRMnqly5clbzk5KSFB4ebu/iP5BI5l1IcnKyUlJS7rpMYmKiEhMT71OJkBnExLkQD+dDTJxH6jgQF+dCPJwL8XA+xCTnNWzYUJLSHOcqVaqoRo0a2rp1qw4ePKiKFStalrMVk4MHDyouLk4NGzZU6dKlbS5Ts2ZNy/Qvv/xSixcvliQNGzZMw4YNsyy3du1ayzbDwsIUERGh8+fPKzExUSVLllSrVq3UuXNneXqmTXsjIiI0efJkHTx4UN7e3qpdu7beeOMNDRs2TDt27LBs28wwDIWFhSk0NFTHjh1TcnKygoKC1K5dO4e1IiCZdyFRUVFKSEi46zIxMTG6evXqfSoRMoOYOBfi4XyIifOIj4+3/B0ZGak8efI4sDRIjXriXIiH83GGmBiGlJDg5tAy3I23tyG3HCqeOfE+f/685dqRXkyuX78uSTp16pSOHz8ud/e7j8lesWJFXbhwQeHh4apVq5ZKly5tmXfy5ElJ0owZMxQREaHg4GBVrlxZCQkJ2r9/vyZMmKDt27fr7bffttrm7t279e2338rd3V316tWTv7+/9u/fr969eytfvnxW25ZuJ/L//e9/tWHDBhUrVkz16tWTp6en9uzZoxEjRmjXrl3q2rVrVg/bXRUpUiTDZUjmXUhCQoI8PDzk4eGR7jK5cuXKsGkL7i9i4lyIh/MhJs4jOTnZ8re3tzdxcSLUE+dCPJyPo2NiGNLnwwrr0OFcDitDRkwVbmnIxxfsntBfvHhRe/fulb+/v8qVK2dJztOLSalSpVS2bFkdP35cI0aMUNOmTVW+fHmVKFHCZmLfoEEDJSQkKDw8XHXr1lXTpk3TLNOhQwf16tXLan3DMPTjjz9q5cqVOnbsmKXFQEpKiqZMmaKUlBQNHTpUFSpUsKwzfvx4rVq1SpKsyr5s2TJt2LBBzZs31+uvv27Jx5KSkjRy5EiFhYWpcePGeuSRR7J+AG1IfT2+G5J5F+Ph4SEvL69053t5ed11Pu4/YuJciIfzISbOI3VTR09PT+LiRKgnzoV4OB9Hx8QwJDd3530qL90un5eXl12T+aSkJI0bN06JiYl6+eWXlSvX/25m3C0mAwcO1OjRo7Vv3z7t27dP0u3kPzg4WE2aNFGTJk2sHmCa/04vFypRooTN/bRp00YrV67Uvn379Oijj0qS9uzZowsXLqhu3bqqXLmy1fIvvvii1qxZo5SUFKv9LF26VLlz51bv3r2tknwvLy9169ZN4eHh2rhxo4KDg+96vOyNZB4AAAAA7oGbm/TFkCu6dcvRJUlfrlyyayKfkpKicePGad++fWrVqpXNJ+bpKVasmEaMGKHjx49r586dOnLkiA4cOKBdu3Zp165dWrlypT799NNM36BJTExUWFiY1q1bp6ioKN28eVOGYVjmX7582fL3iRMnJMnypD61QoUKqXDhwoqOjrZMu3Xrlk6ePKkCBQpo3rx5adZJSkqSJJ0+fTpTZbUnknkAAAAAuEdublLu3I4uxf1hGIbGjx+v1atXq0mTJurTp0+2tlO2bFmVLVvW8u89e/Zo9OjR2rNnjxYtWqS2bdtmajvffPONtm7dqhIlSujxxx+Xn5+fPD09FRsbq9DQUKuWZ+bxYXx9fW1uy8/PzyqZv3HjhgzD0KVLlzRr1qx0y3DLAXdySOYBAAAAAJmSkpKiH374QStWrFCjRo3Ur1+/DAexy6yqVauqS5cuGjdunHbv3p2pZP7w4cPaunWratSooY8++siqef7BgwcVGhpqtbx5gL5r167Z3N6dg/blzZtXklSuXDl9++23Wfo8Oc0+Rx0AAAAA8EBLncg3bNhQb7/99l0H586O3DaaN5hvFth6Tfe5c+ckSbVq1UpTFnN//NSCgoIkSQcOHEgz7+LFi7p48aLVtDx58qhkyZI6ffq0YmNjM/ch7hOSeQAAAADAXaVO5Bs0aKB33nknW4l8dHS0wsLCrF6Hanbz5k3Lk/RKlSpZpvv4+EiSLl26lGadwoULS5L2799vNf3UqVM2+7hXqlRJhQsX1tatW3Xo0CGreTNnzrQ5knybNm1069Yt/fDDD7p586bNz3T+/Pk003MazewBAAAAAHf1xx9/aMWKFcqdO7dKlCih2bNnp1mmbt26Vn3gbYmLi9OkSZP0yy+/qFKlSipdurS8vb116dIlbdu2TTdu3FC5cuXUpk0byzrBwcHy9vbWX3/9pbi4OEt/9w4dOqhChQqqUKGC1q9frytXrshkMunixYvasmWLatWqpY0bN1rt38PDQ71799bw4cP1ySefqGHDhvL399fevXt1+fJlBQUFWb1jXpJat26tQ4cOaeXKlTpw4ICqVaumgIAAXb16VadPn9bhw4fVv3//TL0b3p5I5gEAAAAAd2V+8nzz5k3NmTPH5jJFihTJMJkvWbKkBg4cqB07dujQoUNavXq1bty4obx586pUqVKqV6+ennzySatXwOXPn18DBw7U77//rsWLFyshIUHS7WTew8NDH330kaZPn66IiAgdOXJExYsX1yuvvKKaNWumSeal203yhwwZopkzZ2rdunXy9vbWY489pvfee09ffPGFpV+9mZubm9566y3VqlVL//zzj7Zt26abN2/Kz89PxYsX18svv6xq1apl6Xjag5uResx+OLWtW7fK29v7rq9o8Pf3V0xMzP0rFDJETJwL8XA+xMR5xMXFqU6dOpJuX3PMg/7A8agnzoV4OB9i4nxcMSbx8fF65ZVXVKZMGX399dcOK0diYmKmbg7QZx4AAAAA8NC4efNmmj77ycnJmjp1qhISElS3bl0HlSxraGYPAAAAAHhonD17Vh9++KGqV6+uokWLKj4+Xvv371dkZKRKlSpl1V/fmZHMAwAAAAAeGgUKFFCDBg20d+9eRUREKDk5WYULF9Zzzz2n559/3ubr8ZwRyTwAAAAA4KHh5+enfv36OboY94w+8wAAAAAAuBiSeQAAAAAAXAzJPAAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAXQzIPAAAAAICLIZkHAAAAAMDFkMwDAAAAAOBiSOYBAAAAAHAxJPMAAAAAALgYknkAAAAAAFwMyTwAAAAAAC6GZB4AAAAAABdDMg8AAAAAgIshmQcAAAAAwMWQzAMAAAAA4GJI5gEAAAAAcDEk8wAAAAAAuBiSeQAAAAAAXAzJPAAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcjKejCwAAAPAwizztoXPnPFWsWJJKlUx2dHEAAC6CZB4AACdy9Zqbw/YdH/+/fV+77qbEJMeV5WFw/YabJv3kp337vS3TKldK0Os9ryq/j5FmeUd+N5DWvcTDzzdtfAEgq0jmAaTr5k1Hl8D+4m8+mJ/LlRETaz17F3HYvlNSYi1/v/lWYbm753NYWR4G7u5SvnzS0M/cVO1Raedu6ZuR3hrwfmGlpNhaw3HfDdiS/XhM/znajuWAxLXEGTlzTHLndnQJ7INkHkC6uvUo6ugi5JAH9XO5MmKCh09KivT+ADc1b3r7CW/zppJhSEM+56ntg+7Bvb46GsfV+ThnTGbPfDBuqDEAHgAAgINUe9T639Ufc0w5AACuhyfzANL1IDYD9PP319WYGEcXA6kQE2s8sXu47Nx9+4m82Y5dDisK7qMH8frqaFxLnA8xyXkk8wDS9aD0J0otT27p1gP4uVwZMbH204TzDtt3fHycWjS//fcPYy4oT57Yu6+AezJqtL9Gfeclw3BX9cduJ/LfjU5R5UqJevedGKtl/Xz9dPXaVccUFGncazwexOuro3EtcT7EJOeRzAMA4EQcOcq1l+f/9u2b31DevPTdzkkD3onR9+P8NeTz/41m/9ijiXq7b4x87/ge+PtLEvFwFsQDgDMgmQcAAHAAX19Dn3x4hffMAwCyhWQeAADAgUqVTCaJBwBkGaPZAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAXQzIPAAAAAICLIZkHAAAAAMDFkMwDAAAAAOBispzMb968WcHBwRo7dmxOlMchBg0apODgYMt/M2fOvG/7/u6776z2/SAdVwAAAABAznC6J/PNmzdX8+bNHbLv7t27q2/fvqpatarV9ODgYHXr1i1b28zo5ke9evXUt29ftWvXLlvbBwAAAAA8fDwdXQBn8vLLL6tkyZL3dZ/169dX/fr1tXnzZs2fP/++7hsAAAAA4Jqc7sk8AAAAAAC4u3tK5rdu3aqXXnpJNWrUUEhIiAYMGKBz586lWe7SpUv66quv1KpVK1WtWlV169ZVv379dOjQIcsyp0+fVnBwsKKiohQVFWWzH3lCQoKmT5+u1157TU2aNFHVqlVVv3599e3bV/v27buXj2KTuYm8JG3ZssWqTPPmzZMkzZs3z/LvVatWqWvXrqpRo4aaN2+usWPHqnv37pKkcePGWa1/+vRpu5cXAAAAAPBwyHYz+x07dmjChAlq2rSpunXrpr179yo0NFTh4eGaM2eOChUqJEk6deqUunXrpujoaD3++ONq2bKlLl26pKVLl2rdunWaOnWqqlWrJl9fX/Xt21e//PKLpNtN3s1CQkIkSVevXtVXX32l2rVrq0mTJvL19VVkZKRWrFihNWvW6Ndff9Vjjz12L8fDSmBgoPr27atx48YpMDDQql97pUqVrJZdvHix1q9fr6ZNm6pr166KjY1VSEiI2rVrp/nz5yskJMTyOSTJ19fXbuUEAAAAADxcsp3Mr1u3TsOGDdPzzz9vmTZu3DiNHTtWo0aN0ldffSVJGjhwoC5evKjJkyfr8ccftyz773//Wx06dNDHH3+sv/76S76+vurXr5+l33i/fv3S7NPPz0+rVq1S0aJFraYfPnxYnTp10nfffaeff/45ux8pjZIlS6pfv36WZN5WmczWrFmjKVOmqEGDBmnmmZP5u60PAAAAAEBmZbuZfdmyZdWxY0eraT179lSBAgX0999/KyEhQfv27VNERIT+9a9/WSXy5vU7deqkQ4cOWTW3vxtvb+80ibwkVahQQXXr1tXWrVuVmJiY3Y90T1q2bGkzkQcAAAAAwN6y/WS+Zs2acnNzs5qWO3duValSRWvXrtWJEye0Y8cOSdLFixdtvprt2LFjlv+bTKZM7Xf//v366aefFB4erosXL6ZJ3q9cuaIiRYpk4xPdG3s27wcAAAAA4G6yncwXLFjQ5nRzX/nr16/r6tWrkqRVq1Zp1apV6W4rPj4+U/vcvn27pS/9448/rqCgIOXNm1dubm5atmyZDhw4oISEhCx8CvtJ73gAAAAAAGBv2U7mL126ZHP6xYsXJUn58+eXj4+PJOmTTz7RSy+9lN1dWfz4449KSEjQjBkzVKtWLat55lYAjnJnKwUAAAAAAHJKtvvMb9++XYZhWE27efOm9u7dq9y5cysoKEjVqlWTJEVERGS+QO7uSk5Otjnv1KlT8vf3T5PIx8fH58ir6TJTpox4eHhIUrbXBwAAAADgTtlO5o8fP645c+ZYTfvpp590+fJltWnTRt7e3nrsscdUrVo1/f333woLC0uzjZSUFG3ZssVqmp+fn65cuaJbt26lWT4wMFBXr17V4cOHLdOSk5P1n//8R5cvX87uR8mQn5+fzp07l+11JSk6OtqeRQIAAAAAPMSy3cy+YcOG+vzzz7V69Wo98sgj2rt3r9atW6fixYvr3XfftSw3cuRIvfzyy+rfv79++eUXValSRbly5dKZM2e0Y8cOXb58Wbt377YsX69ePe3Zs0d9+vRRrVq15O3trZo1a6p27dp66aWXtG7dOnXt2lVPPfWUvL29tWXLFkVHRyskJCTNjQF7qVevnhYtWqS33npLlSpVkoeHh5o0aaLg4OAM133kkUdUpEgR/f3338qdO7eKFSsmNzc3denSRfnz58+R8gIAAAAAHmzZTuarV6+uPn36aPTo0Zo2bZq8vLzUpk0bvf/++5ZB8CSpVKlSmj9/vn7++WctX75cc+fOlbu7u4oUKaLatWvrySeftNruG2+8oWvXrmnlypXatGmTUlJS1LdvX9WuXVvNmjXTmDFjNGHCBC1cuFC5c+dWvXr19MMPP+iHH37I/lHIwEcffSRJ2rRpk/755x+lpKSoUKFCmUrmPTw8NG7cOH377bdasGCBYmNjJUlPP/00yTwAAAAAIFvcjDs7vj+EBg0apPnz52v58uUqWbKkQ8qwefNmde/eXX379lW/fv1sLrN161Z5e3vLy8sr3e34+/srJiYmh0qJ7CAmzoV4OB9i4jzi4uJUp04dSbevOXnz5nVwiWBGPXEuxMP5EBPnQ0yyLzEx0TL+3N1ku8/8g6hFixYKDg7WzJkz79s+v/vuOwUHB6t79+73bZ8AAAAAANeW7Wb2D5KWLVsqMDDQ8u+qVavet33Xq1dPnp7/C0NISMh92zcAAAAAwDU9kMn86dOnNX/+/AyXy58/v1555RW1bNlSLVu2vA8lS6t+/fqqX7++Q/YNAAAAAHBND2QyHxUVpXHjxmW4XGBgoF555ZWcLxAAAAAAAHb0QCbzdevW1cGDBx1dDAAAAAAAcgQD4AEAAAAA4GJI5gEAAAAAcDEk8wAAAAAAuBiSeQAAAAAAXMwDOQAeAAAPEu+rJ+R1PUqJ+QOV4Bfk6OIAAAAnQDIPAE7K42aMo4twX7jFG/K4edXRxXBK7reuqei275Tn/E7LtPgi1RRdu79ScvnafX8et+JT/X1VHu4Jdt8Hsi45t7+jiwAAcEIk87Art6T4jBd62CTm4rg4ExeKxyPz2zu6CPdNIUcXwEkZbu6Sd37FP/OdUgJryT0qXLn/GaIyi16Vm5Fi9/3FJhiWv8su7Kp83m523wey7sjzf7vUueuhQDyczz3GxPDMY8fCAPcHyTzsqvzsNo4uglMq7OgCwArxgKtwM1IU3+ozJZuelCQlm57ULcNQ7r/fdXDJcD+Zr62cu5wL8XA+9xKTw11W2K0cwP3CAHgAADixlMBaVv9OLlnbQSUBAADOhCfzsKsjz//t6CI4HT8/f129GuPoYuD/uVI8aOkCSXKPCrc8mZckj9PbHFgaOMKR5/92qXPXw4B4OB9igocRyTzsiv5GNnjlkeF5y9GlgJkLxeNYu3mOLsJ94evnp2tXGQDPluLrP1eu5UOVYBhKLllbHqe3yXvFF4ovUk1nHx9i9/3FxcdLX7eUJB1vO0N583BOdwaGZx6XOnc9FIiH8yEmeAiRzAOAk3pYRrA28vgr+RYDrdlypuFnKr7hS+VN1Uc+rlhtnW3wkVJy+dl9f8kp3v/7O5efknPntfs+AACAfZDMAwDgpFJy+Smq2de8Zx4AAKRBMg8AgJNL8AsiiQcAAFYYzR4AAAAAABdDMg8AAAAAgIshmQcAAAAAwMWQzAMAAAAA4GJI5gEAAAAAcDEk8wAAAAAAuBiSeQAAAAAAXAzJPAAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAXQzIPAAAAAICLIZkHAAAAAMDFkMwDAAAAAOBiSOYBAAAAAHAxJPMAAAAAALgYknkAAAAAAFwMyTwAAAAAAC6GZB4AAAAAABdDMg8AAAAAgIshmQcAAAAAwMWQzAMAAAAA4GJI5gEAAAAAcDEk8wAAAAAAuBiSeQAAAAAAXAzJPAAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAX4+noAiBrkpOT7zo/MTFRiYmJ96k0yAxi4lyIh/MhJs4jKSnJ6m/i4jyoJ86FeDgfYuJ8iEn2ZZTzmZHMuxBvb28lJCTcNbi3bt1SQkLCfSwVMkJMnAvxcD7ExHmkjkNCQoI8PDwcWBqkRj1xLsTD+RAT50NMch7JvAsJDAxUSkrKXZcJCAjQlStX7lOJkBnExLkQD+dDTJxHbGys5e9SpUopX758DiwNUqOeOBfi4XyIifMhJjmPZN6FeHh4ZPiUxMvLS15eXvepRMgMYuJciIfzISbOI3UciItzIR7OhXg4H2LifIhJzmMAPAAAAAAAXAzJPAAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAXQzIPAAAAAICLIZkHAAAAAMDFkMwDAAAAAOBiSOYBAAAAAHAxJPMAAAAAALgYknkAAAAAAFwMyTwAAAAAAC6GZB4AAAAAABdDMg8AAAAAgIshmQcAAAAAwMWQzAMAAAAA4GJI5gEAAAAAcDEk8wAAAAAAuBiSeQAAAAAAXAzJPAAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAXQzIPAAAAAICLIZkHAAAAAMDFkMwDAAAAAOBiSOYBAAAAAHAxJPMAAAAAALgYknkAAAAAAFyMp6MLAADO4vgJQ1FRUmCgVDbIzdHFAQAAANJFMg/gnlyJMRxdhCwxjBTFXLUu89Vrhr4dKe3Y+b9p1asZem+A5Ofr2kl9gL9rlx8AAAC2kczjoREf75ikM1cuw2H7vh+e/ZerfbYraaa4u0v58klDP3NTtUelnbulb0Ya6v6KlJLiap/P2j+LHF2CjD3odSRPHm6oAAAA+yOZx0Oj1VOOShYuO2i/yKyUFOn9AW5q3vR20tW8qWQY0pDPXT/BdNz3Pise7DqybhXJPAAAsD8GwAMASdUetf539cccUw4AAAAgM3gyj4fGP4sc83TM3z9AMTFpm3Y/KFzjyW/Gdu6+/UTebMcuhxXFrhz1vc+KB72OAAAA5ASSeTw0HNVvNW9eN9265fwJVXb99aejS5A1/n7+irkaYzXtkyGGRo02ZBi3n8jv2CV9972h6tWkLz537di5Qn/tB72OAAAA5ASSeQD3xNVGSw8IcJebm3WZh30ufT7MsOojX6e2NORjN/m72OcDAADAw4FkHsBDz9/fTd9968Z75gEAAOAySOYB4P+VDXJT2SBHlwIAAADIGKPZAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAXQzIPAAAAAICLIZkHAAAAAMDFkMwDAAAAAOBi7JLMz5s3T8HBwZb/+vfvb5k3aNAgBQcH6/Tp0/bY1QNlw4YNVsetW7duji4SAAAAAMAFeNpzYy1atFClSpVUoUIFe272gVWqVCn17dtXkjRu3DgHlwYAAAAA4Crsmsy3bNlS7du3t5r27rvv6vXXX1fRokXtuasHQqlSpdSvXz9JJPMAAAAAgMyzazJvS5EiRVSkSJGc3g0AAAAAAA+NHB8Az1af+c2bNys4OFhjx47V3r179dprr6lGjRqqVauW3nzzzXT710dGRurTTz9V8+bNVbVqVdWvX1/dunXTvHnz0iw7f/58derUSTVq1FCNGjXUqVMnzZ8/P81yqcuyfft2devWTTVq1FC9evX02Wef6ebNm5KkNWvWqHPnzqpevboaNGigb775RsnJyTbLuWzZMr388suqU6eOHn30UT3zzDOaPHlyussDAAAAAJAVDh3Nfs+ePXrxxRfl4eGhzp07q2rVqlq2bJl69OihW7duWS0bERGhdu3a6Y8//tAjjzyiHj16qFWrVrp586amTZtmtexXX32lQYMG6dy5c+rQoYM6duyo6OhoDRo0SMOHD7dZlp07d+qVV15R/vz51blzZ5UoUUIzZ87Uxx9/rEWLFqlfv34qXry4XnjhBeXPn18//fSTJk6cmGY7o0aN0ptvvqkTJ07oiSeeUNeuXeXt7a2vv/7aamBAAAAAAACyK8eb2d/NqlWr9N133+npp5+2TBs4cKAWLFigZcuWqU2bNpKkhIQE9e/fX7GxsZo4caIaN25stZ1z585Z/t62bZt++eUXlStXTrNmzVL+/PklSW+99ZY6deqkqVOnqlWrVqpdu7bVNtauXasffvhBLVu2lCQlJiaqQ4cOCg0N1bp16zR9+nQ99thjkqR+/frpiSee0NSpU/X666/L0/P2YVy/fr0mTJigxo0ba8yYMcqTJ48kyTAMffbZZ/r999+1ZMkStW7d2p6HEQAAAADwkHHok/k6depYJfKS1KFDB0nS7t27LdOWL1+us2fPqm3btmkSeUkqVqyY5W9zk/u+fftaEnlJyp8/v2XkeFvN7UNCQiyJvCR5eXmpdevWMgxDzZo1syTykuTj46OmTZsqJibG6kbCr7/+KkkaOnSoJZGXJDc3N7333ntyc3PT33//fbdDAgAAAABAhhz6ZL5y5cppppkT82vXrlmm7dq1S5L0+OOPZ7jN/fv3S5Lq1q2bZl5ISIjVMhmVxTxwX6VKldLMK1y4sCQpOjpaJUuWlHS7qX7evHk1Z84cm2XLnTu3jh07luFnAAAAAADgbhyazKd+cm7m4eEhSUpJSbFMu379uiRl6vV2N27ckLu7uwoUKJBmXqFCheTu7q4bN26kmefj45NuWWzNMzetT0pKsky7evWqkpKS7vqaubi4uAw/AwAAAAAAd+PQZD6zzEl/dHR0hsv6+PgoJSVFly9fVsGCBa3mXbp0SSkpKTaTc3swb3fz5s05sn0AAAAAACQH95nPLHN/9fXr12e4rLlJvK2EesuWLZKkihUr2rF0//PYY48pJiZGJ06cyJHtAwAAAAAguUgy36JFCxUrVkwLFy7U2rVr08xP/cS+Xbt2kqQffvjBqjn9jRs39MMPP1gtY2/dunWTJH344Ye6cuVKmvkXLlzQ0aNHc2TfAAAAAICHh0s0s/f29tbo0aPVs2dPvf7662rUqJEqVqyoGzduaP/+/bp586b+/PNPSbdHyO/WrZumT5+uZ555Rk888YQMw9A///yjs2fPqlu3bqpTp06OlLNx48Z64403NH78eD3xxBNq1KiRSpQooZiYGJ08eVLh4eF65513VK5cuRzZPwAAAADg4eASybwk1ahRQ/Pnz9eECRO0bt06bdy4Ub6+vipXrpw6d+5stezHH3+sSpUqaebMmfrjjz8kSeXLl1e/fv0sr77LKW+//bbq1KmjadOmaePGjbp+/br8/f1VsmRJ9e3bV88++2yO7h8AAAAA8OBzMwzDuNeNzJs3T4MHD9bw4cPVvn17e5TroRMcHKyQkBBNnz493WVsNd2/U0BAQKaWw/1DTJwL8XA+xMR5xMbGqlSpUpKkyMhI5cuXz8Elghn1xLkQD+dDTJwPMbk3AQEBGS5j1z7zgwcPVnBwsPr372/PzT6wNmzYoODgYAUHBzu6KAAAAAAAF2KXZvaVKlVS3759Lf+uUKGCPTb7wCtVqpTVcQsMDHRgaQAAAAAArsJuybz5lXDIvFKlSqlfv36OLgYAAAAAwMW4xKvpAAAAAADA/5DMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuxi6vpgMA4EHndumI3GNOKcW/tIyC5R1dHAAA8JAjmQcAZF/c5XvehOGdLMVdtUNhckh8jHIvGyLPqG2WSUmBtXWz5edSHn/HlSsnxMel+vuK5Hbrf//OW+D+lwcAAKSLZB6A/SXGZbyMgxgJ3k5dPlfj8+Pj97yNJEk+916UHGO4uUve+RX/zHdKCawl96hw5f5niPJNe1ZuRoqji2dXbgmG5W+fn1oqn7eb5d83+oU7okj4f1k+d3nlzbnCAACcAsk8ALvzGVvL0UVIl7MnjnA+bkaK4lt9pmTTk5KkZNOTumUYyv33uw4u2f3lzPX6YZDVc9eNd/fnVFEAAE6CAfAAAMhASqB1IptcsraDSgIAAHAbT+YB2J0zN8f19/dXTEyMo4vxwHhYnta6R4VbnsxLksfpbXdZ+sHkzPX6YcC5CwBwJ5J5APbnxH013bzzSV4Jji7GA+NGn/X3vA1/fz/FxDjvAHi5/3pbuZZ/oQTDUHLJ2vI4vU3eK4YpqWQd3XxmtKOLZ1excXHS149Jkm70XCYjb6q67MT1+mHAuQsAcCeSeQBA9tlhhHO3fAFSgocdCpMzbrYdo9xh71n1kU8q00A3n/5WyhPgwJLlACPX//7OEyDlzee4sgAAgLsimQcA4G7yBOhmh8m8Zx4AADgVknkAADLBKFheySTxAADASTCaPQAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAXQzIPAAAAAICLIZkHAAAAAMDFkMwDAAAAAOBiSOYBAAAAAHAxJPMAAAAAALgYknkAAAAAAFwMyTwAAAAAAC6GZB4AAAAAABdDMg8AAAAAgIshmQcAAAAAwMWQzAMAAAAA4GJI5gEAAAAAcDEk8wAAAAAAuBiSeQAAAAAAXAzJPAAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAXQzIPAAAAAICLIZkHAAAAAMDFkMwDAAAAAOBiSOYBAAAAAHAxJPMAAAAAALgYknkAAAAAAFwMyTwAAAAAAC6GZB4AAAAAABdDMg8AAAAAgIshmQcAAAAAwMWQzAMAAAAA4GJI5gEAAAAAcDFuhmEYji4EAAAAAADIPJ7MAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAX4+noAkDaunWrVqxYoT179mjfvn26ceOG2rVrpxEjRthc/tKlS5ozZ4727t2rPXv2KCoqSpJ08ODBbO3/woULGj16tFavXq2rV6+qRIkSevbZZ9WrVy95e3unWT4lJUUzZszQrFmzdPLkSeXNm1d169ZV//79FRQUlK0yOJusxkSyz3E5ffq0WrRocddl3N3dtX//fsu/N2/erO7du6e7/KxZs1S9evVM7d+ZOSomkjRo0CDNnz/f5ryyZctq8eLFObZvZ+WoeMTFxemff/7RihUrdODAAZ09e1be3t6qWLGiOnfurGeeeSbNOtSRnK8jEteSrFqzZo2mTJmiPXv2KCEhQWXKlFH79u3VvXt3eXh4ZGobY8eO1bhx4+66TIcOHfTVV19Z/p2d89nDwh4xkaTg4OB05w0YMEC9evVKMz2r9edhYI94nDhxQosXL9batWt18uRJxcTEqGDBgqpbt6569+6tcuXKpVmHOpI+e9URSVq7dq0mTpyovXv3yjAMVa1aVb169VKjRo1sLk8dsY1k3gnMnTtX8+fPV548eVS8eHHduHHjrssfOXJEo0aNkpubm8qUKaM8efIoPj4+W/u+cOGCOnXqpLNnz6ply5YKCgpSeHi4xo4dqx07dmjixIlyd7duwDFkyBD98ccfKl++vF566SVdunRJYWFhWr9+vX7//XeVL18+W2VxJlmNiWSf4+Lr66u+ffvanLdnzx6tWrVKDRs2tDk/JCREISEhaaYXK1Ysw/26AkfFJLXu3bvL19fXalpAQMB92bezcVQ8tm3bpoEDB8rf31/169fXE088oUuXLumff/7RgAEDFBERoU8++cTmutSRtOz1PeVakjXTpk3Tl19+KR8fHz3xxBPKnz+/Nm7cqBEjRigiIkJjxozJ1HZCQkLSvWbMnj1b0dHR6V4zsnI+exjYKyZmgYGBateuXZrpNWvWTDMtO/XnQWeveHz//fcKCwuTyWRSixYt5OPjo0OHDmnBggVasmSJJk+erNq1a9tclzpizZ51ZOHChXr//fcVEBCgdu3ayc3NTYsWLVLPnj31zTffqG3btlbLU0fuwoDD7dq1yzh06JCRlJRkREREGCaTyfjggw/SXf7ChQvGli1bjOvXrxuGYRitW7c2TCZTtvY9cOBAw2QyGb/99ptlWkpKivHBBx8YJpPJmDNnjtXyGzduNEwmk9G1a1fj1q1blukbNmwwgoODjRdffDFb5XA2WY3J/TguvXv3Nkwmk7FkyRKr6Zs2bTJMJpMxZsyYe96HM3NkTMz1ITIyMlPLPwz1xFHx2L9/v7Fw4UIjISHBavqFCxeMZs2aGSaTydi5c6fVPOqIbfb8nnItybxz584ZVapUMerUqWOcPn3aMj0xMdH497//bZhMJiM0NPSe9nHhwgWjcuXKRkhIiNXxNYysn88eBvaOiclkMl566aVML5/V+vOgs2c85s6da+zfvz/N9NDQUMNkMhlPP/10mnnUkbTsGZOYmBijdu3aRt26dY0zZ85YpkdHRxuPP/64Ubt2bSMmJsZqHepI+h7SWxjO5dFHH1WFChUy3TylUKFCqlOnjnx8fO5pvzdu3FBYWJhKlSqlLl26WKa7ubnp3Xfflbu7u2bPnm21jvnf77zzjlWTlvr166thw4baunWrjh8/fk/lcgZZjUlOH5fo6GitWbNGBQsWVLNmzbK9HVfmbDFx1n3fL46KR8WKFfXss8/Ky8vLanqhQoX0wgsvSLrd3Pxh5KiYcC3JmjVr1igxMVEdO3ZUYGCgZbqnp6feeustSdLMmTPvaR/z5s1TUlKSnnvuuYe6+Wlm3Y+YpCc79edBZ894tG/fXhUrVkwzvU2bNgoKCtKRI0d0+fJl+xT8AWbPmCxevFjXrl3TSy+9pOLFi1umFylSRN27d9e1a9esujJQR+6OZP4htmPHDiUkJKhBgwZyc3OzmlekSBGZTCbt3LlTt27dskzfvHmz8ubNa7OZmLkp38P4Qzqnj8v8+fOVnJys5557Lk0SY3bixAlNmzZNEydOVGho6EN/ccqJmKxevVoTJ07U1KlTtXHjRiUnJ9+3fbu6+3FMPD1v9xxLL5mljlizV0y4lmTNxYsXJUklS5ZMM888LSIiQgkJCdnex9y5cyVJzz//fLrLZPZ89jDIiZhcu3ZNs2fP1o8//qg//vhDJ06csLlcdurPg+5+1BFJlt9T5mvHnagj/2PPmGzZskWSbHYBMveXNy8jUUcyQp/5h9jJkyclKd2BhsqUKaMDBw4oMjJS5cuXV1xcnC5cuCCTyWTzx7J5O+ldsB5UOX1cDMOw/DDr2LFjusuFhoYqNDTU8u/cuXOrX79+6tmzZ7b268pyKiZDhw5Ns51Ro0apSpUqOb5vV3Y/jklycrL+/PNPubm5qUGDBjaXoY78jz1jwrUkawoUKCDp9oCndzJPS0pKUmRkpM3BuTKybds2nThxQtWrV1eFChXSXS4z57OHRU7E5MCBA/r4448t/3Zzc9Ozzz6roUOHKk+ePJbpWa0/D4OcriOStGvXLh0+fFiPPvpomn7xZtSR/7FnTMzn9jJlyqSZZ55mrhep/6aO2MaT+YfY9evXJUn58+e3Od/cjN+8nPn/6TXvN0/PzKBLD5KcPi5btmzRqVOnVKtWLZsnyAIFCmjgwIEKCwvTjh07tGbNGn3zzTfy8/PTN998o99//z1b+3Vl9o5JnTp1NHbsWK1evVq7du1SWFiYXn75ZUVGRurVV19VdHR0ju37QXA/jsn333+vQ4cOqX379jKZTFbzqCNp2TMmXEuypkGDBvLw8NDcuXN19uxZy/SkpCSrkemvXbuWre3PmTNHUvo3f7NyPntY2Dsmr776qmbPnq0tW7Zo69at+uWXX1StWjUtXLhQH330kdWyWa0/D4OcriPXr1/XBx98IHd3d73//vtp5lNH0rJnTMzndlvf+bx588rDw8Pq+04duTuezNtJ3bp1FRMTk+nlp02bprp16+ZcgfDAxCSjH2YVKlSwevqSJ08etW3bVhUrVlT79u01duxYderUySlG+XTVmHTo0MHq3+XKldOHH36oPHny6Mcff9TUqVP1wQcfOKh02eeq8bjTrFmzNGHCBFWuXDnND2WJOoKckd1YlSpVSr1799b48eP17LPPqlWrVpZRoc+ePasSJUrozJkzWX7Nk3T7R/LixYuVN29ePf300zaXeVDPZ5LzxOTO41evXj1NnTpVzz33nP7++2/9+9//vmuriQeFs8QjtVu3bqlv3746duyY+vfvb/P8SR35n/sRE9wbknk7eeaZZxQbG5vp5QsVKpSDpckc8x2u9O5k3XnnzPz/9J6WmKff68B89nK/YpKTx+XatWtaunSpfHx89NRTT2VpXZPJpGrVqmnbtm06efKkypYtm+X929uDEJPUOnbsqB9//FERERH3fd/28CDEY+7cuRoyZIhMJpOmTJmifPnyZXpd6oh9YvKgX0vScy+xevvttxUUFKRff/1VYWFhcnd3V+3atTVq1Ci9++67krL3CqzQ0FDFx8erY8eOWaoLku3zmatxxpiY5cmTR23atNH48eO1fft2SzKf1frjSpwtHgkJCXrzzTe1adMm9e7dW3369MnS+tQR+8Qk9ZP0O5ePi4tTcnKy1ff9Qa4j9kAybyfpvdfYmZn7paTXL/HkyZNyd3dXqVKlJN1u+lK4cGGdPn1aycnJae6+mbeTXp+W++1+xSQnj8tff/2lmzdv6oUXXrDqY5dZ5pPkzZs3s7xuTngQYpKa+fjGx8ff933bg6vHY86cOfrkk09Uvnx5/fLLL9n6oU0dufeYPOjXkvTca6yee+45Pffcc1bTEhISdOLECfn7+1uOV1aYW3LdbeC79Ng6n7kaZ4xJaraOcVbrjytxpnjcunVLb7zxhtatW6eePXtaks+soI7YJyZBQUHas2ePTp48mea6be4fn7o//YNcR+zB8W0K4TDVq1eXt7e3NmzYIMMwrOadP39ehw4dUrVq1ZQrVy7L9JCQEMXFxWn79u1ptrdu3TpJt/saPWxy6rhkZkTi9CQlJWnfvn1yc3OzevXHw+J+fFd37twpSVavablf+3Y19j4mc+bM0ccff6xHHnlEv/zyi2VwnqygjtgnJlxL7Gfx4sVKSEhIt4n83Rw8eFC7d+9WhQoVVL169Syvn9757GF3LzG5k/kYpx4RPDv152GWnXikTuRfffVVm/3kM4M6YltWY2I+t5vP9amtXbtW0u1rhBl15O5I5h8Sp06d0tGjR5WYmGiZ5uPjo6efflqRkZFW74Y0DEOjRo1SSkpKmiSyU6dOkqTRo0dbvX5i48aNWrdunerUqeMUTVXvt+wcF1sxSW3//v3au3evgoOD9eijj6a774iIiDQnt6SkJH399deKiopSw4YN5e/vn81P5rrsFZMLFy7o1KlTabYfHR2tYcOGSbrdbO1e9/2gs2cdmT17tlUiX7Bgwbvumzpim71iwrUk62x1MTh69Kj+85//yMfHR7169bKaFx8fr6NHj+rMmTPpbjOj8VWk7J3PHhb2ism+fftsPrldtGiR/v77bwUEBKh+/fqW6dmpPw8De8UjdSLfo0ePDPu6U0fSZ6+YPPXUU8qfP79+/fVXq8H0zp8/r2nTpsnX11dPPvmkZTp15O7cjDt/4eC+27Ztm+UifPnyZa1evVqlS5dWrVq1JEmPPPJImgoyaNAgy9///POPbty4oXbt2lmmDRw40OpJVfPmzRUVFaXly5db3RE+f/68OnXqpHPnzqlVq1YKCgrStm3btH37djVs2FCTJk1KMyjUxx9/rNmzZ6t8+fJq0qSJLl26pLCwMOXKlUu///77A/FaiOzEJKvHJb2YmH3xxRf69ddf9fHHH6tbt27plrV58+aSpBo1aqho0aK6fv26tm7dquPHj6tEiRL69ddfH4i7yI6KyebNm/Xyyy+rVq1aeuSRR+Tn56eoqCitWrVKcXFxateunYYPH57m3acPej1xVDw2btyoHj16yDAMvfDCCypcuHCaslWqVEktW7a02o5EHcnJ8xbXkqz5+OOPtW/fPlWtWlX+/v46ceKEVq5cKXd3d/3www9p3r+8efNmde/eXSEhIZo+fXqa7SUkJKhRo0aKjY3VmjVr0m2pkt3z2cPAXjEZNGiQli1bpvr166t48eIyDEP79u3Ttm3blCtXLo0dO1ZNmjSx2lZ26s+Dzp7xmD9/vgoXLqwXXnjB5r7atWt3z9f8h4E9z1sLFizQwIEDFRAQoDZt2sjNzU2LFi3SxYsX9fXXX6dpyk8dSR995p3AqVOnNH/+/DTTzHcGQ0JC0vwAu3P5O6f17ds3U81OixQpoj/++EOjR4/W6tWrtXLlSpUoUUL9+vVTr169bFaMoUOHKjg4WLNmzdL06dOVN29eNWvWTP37939gnqRkJyb2PC63bt3SX3/9JW9vb7Vt2/auy3bu3Flr167Vli1bdOXKFXl6eqp06dLq06ePXn31Vfn5+WVp387KUTEpXbq0OnbsqF27dmnJkiWKjY2Vj4+PatSooY4dO6bbrOxBryeOisfZs2ctT9lnzZplc5l27dpZJfPUkZw/b3EtyZrHH39cx44ds5xTChUqpGeffVZ9+vRR6dKls7y9ZcuWKSYmRk899dRdr/3ZPZ89DOwVkxYtWujatWvau3ev1q5dq6SkJBUtWlQdO3bUq6++avMVs9mpPw86e8UjKipK0u0n7qlfoZZaSEiIJZmnjqTPnuet5557TgEBAZo4caLmzZsnSapSpYpGjBihRo0apVmeOpI+nswDAAAAAOBiHt7bGAAAAAAAuCiSeQAAAAAAXAzJPAAAAAAALoZkHgAAAAAAF0MyDwAAAACAiyGZBwAAAADAxZDMAwAAAADgYkjmAQAAAABwMSTzAAAAAAC4GJJ5AAAAAABcDMk8AAAAAAAuhmQeAAAAAAAX838hYd2deot7EwAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3267,7 +4239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -3305,149 +4277,137 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.482</td>\n",
+       "      <td>-0.259</td>\n",
        "      <td>0.052</td>\n",
-       "      <td>-0.578</td>\n",
-       "      <td>-0.385</td>\n",
+       "      <td>-0.358</td>\n",
+       "      <td>-0.164</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>3920.0</td>\n",
-       "      <td>2614.0</td>\n",
+       "      <td>2743.0</td>\n",
+       "      <td>2641.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.848</td>\n",
-       "      <td>0.256</td>\n",
-       "      <td>-10.326</td>\n",
-       "      <td>-9.377</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>4973.0</td>\n",
-       "      <td>2829.0</td>\n",
+       "      <td>-10.067</td>\n",
+       "      <td>0.459</td>\n",
+       "      <td>-10.922</td>\n",
+       "      <td>-9.210</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>1997.0</td>\n",
+       "      <td>2631.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-13.664</td>\n",
-       "      <td>0.212</td>\n",
-       "      <td>-14.053</td>\n",
-       "      <td>-13.269</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>-10.140</td>\n",
+       "      <td>0.230</td>\n",
+       "      <td>-10.598</td>\n",
+       "      <td>-9.720</td>\n",
+       "      <td>0.005</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>2595.0</td>\n",
-       "      <td>2645.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[temperature]</th>\n",
-       "      <td>4.099</td>\n",
-       "      <td>0.139</td>\n",
-       "      <td>3.837</td>\n",
-       "      <td>4.358</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>3181.0</td>\n",
-       "      <td>2964.0</td>\n",
+       "      <td>2052.0</td>\n",
+       "      <td>2438.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[health]</th>\n",
-       "      <td>2.207</td>\n",
-       "      <td>0.191</td>\n",
-       "      <td>1.870</td>\n",
-       "      <td>2.594</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>3133.0</td>\n",
-       "      <td>2817.0</td>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>-16.334</td>\n",
+       "      <td>0.706</td>\n",
+       "      <td>-17.639</td>\n",
+       "      <td>-15.010</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>2099.0</td>\n",
+       "      <td>2470.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>0.141</td>\n",
-       "      <td>1.036</td>\n",
-       "      <td>-1.745</td>\n",
-       "      <td>2.193</td>\n",
-       "      <td>0.024</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>1935.0</td>\n",
-       "      <td>2047.0</td>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>0.227</td>\n",
+       "      <td>0.858</td>\n",
+       "      <td>-1.445</td>\n",
+       "      <td>1.758</td>\n",
+       "      <td>0.020</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>1856.0</td>\n",
+       "      <td>2765.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>39.362</td>\n",
-       "      <td>0.432</td>\n",
-       "      <td>38.535</td>\n",
-       "      <td>40.183</td>\n",
+       "      <td>46.746</td>\n",
+       "      <td>0.418</td>\n",
+       "      <td>45.953</td>\n",
+       "      <td>47.488</td>\n",
        "      <td>0.010</td>\n",
        "      <td>0.007</td>\n",
-       "      <td>1758.0</td>\n",
-       "      <td>2109.0</td>\n",
+       "      <td>1742.0</td>\n",
+       "      <td>2238.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.843</td>\n",
-       "      <td>0.257</td>\n",
-       "      <td>-10.321</td>\n",
-       "      <td>-9.351</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>7987.0</td>\n",
-       "      <td>5433.0</td>\n",
+       "      <td>-9.769</td>\n",
+       "      <td>0.456</td>\n",
+       "      <td>-10.632</td>\n",
+       "      <td>-8.902</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5962.0</td>\n",
+       "      <td>6149.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-13.618</td>\n",
-       "      <td>0.210</td>\n",
-       "      <td>-14.010</td>\n",
-       "      <td>-13.228</td>\n",
+       "      <td>-10.481</td>\n",
+       "      <td>0.191</td>\n",
+       "      <td>-10.824</td>\n",
+       "      <td>-10.110</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5038.0</td>\n",
-       "      <td>5398.0</td>\n",
+       "      <td>4637.0</td>\n",
+       "      <td>5309.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[temperature]</th>\n",
-       "      <td>4.077</td>\n",
-       "      <td>0.131</td>\n",
-       "      <td>3.838</td>\n",
-       "      <td>4.323</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>6879.0</td>\n",
-       "      <td>5762.0</td>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>42.649</td>\n",
+       "      <td>0.416</td>\n",
+       "      <td>41.863</td>\n",
+       "      <td>43.427</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>3657.0</td>\n",
+       "      <td>4518.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[health]</th>\n",
-       "      <td>2.212</td>\n",
-       "      <td>0.192</td>\n",
-       "      <td>1.845</td>\n",
-       "      <td>2.569</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>5534.0</td>\n",
-       "      <td>5543.0</td>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>-8.073</td>\n",
+       "      <td>0.954</td>\n",
+       "      <td>-9.883</td>\n",
+       "      <td>-6.319</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>3730.0</td>\n",
+       "      <td>4650.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>39.527</td>\n",
-       "      <td>0.422</td>\n",
-       "      <td>38.755</td>\n",
-       "      <td>40.319</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>4161.0</td>\n",
-       "      <td>4095.0</td>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>-0.913</td>\n",
+       "      <td>0.872</td>\n",
+       "      <td>-2.589</td>\n",
+       "      <td>0.700</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>5708.0</td>\n",
+       "      <td>6082.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3455,36 +4415,34 @@
        "</div>"
       ],
       "text/plain": [
-       "                                    mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt           -0.482  0.052  -0.578   -0.385      0.001   \n",
-       "              beta_[trt]          -9.848  0.256 -10.326   -9.377      0.004   \n",
-       "              beta_[income]      -13.664  0.212 -14.053  -13.269      0.004   \n",
-       "              beta_[temperature]   4.099  0.139   3.837    4.358      0.002   \n",
-       "              beta_[health]        2.207  0.191   1.870    2.594      0.003   \n",
-       "              beta_ps              0.141  1.036  -1.745    2.193      0.024   \n",
-       "              alpha_outcome       39.362  0.432  38.535   40.183      0.010   \n",
-       "2-stage-model beta_[trt]          -9.843  0.257 -10.321   -9.351      0.003   \n",
-       "              beta_[income]      -13.618  0.210 -14.010  -13.228      0.003   \n",
-       "              beta_[temperature]   4.077  0.131   3.838    4.323      0.002   \n",
-       "              beta_[health]        2.212  0.192   1.845    2.569      0.003   \n",
-       "              alpha_outcome       39.527  0.422  38.755   40.319      0.007   \n",
-       "\n",
-       "                                  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt             0.001    3920.0    2614.0    1.0  \n",
-       "              beta_[trt]            0.004    4973.0    2829.0    1.0  \n",
-       "              beta_[income]         0.003    2595.0    2645.0    1.0  \n",
-       "              beta_[temperature]    0.002    3181.0    2964.0    1.0  \n",
-       "              beta_[health]         0.003    3133.0    2817.0    1.0  \n",
-       "              beta_ps               0.016    1935.0    2047.0    1.0  \n",
-       "              alpha_outcome         0.007    1758.0    2109.0    1.0  \n",
-       "2-stage-model beta_[trt]            0.003    7987.0    5433.0    1.0  \n",
-       "              beta_[income]         0.002    5038.0    5398.0    1.0  \n",
-       "              beta_[temperature]    0.001    6879.0    5762.0    1.0  \n",
-       "              beta_[health]         0.002    5534.0    5543.0    1.0  \n",
-       "              alpha_outcome         0.005    4161.0    4095.0    1.0  "
+       "                               mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
+       "1-stage-model alpha_trt      -0.259  0.052  -0.358   -0.164      0.001   \n",
+       "              beta_[trt]    -10.067  0.459 -10.922   -9.210      0.010   \n",
+       "              beta_[income] -10.140  0.230 -10.598   -9.720      0.005   \n",
+       "              beta_ps[0]    -16.334  0.706 -17.639  -15.010      0.015   \n",
+       "              beta_ps[1]      0.227  0.858  -1.445    1.758      0.020   \n",
+       "              alpha_outcome  46.746  0.418  45.953   47.488      0.010   \n",
+       "2-stage-model beta_[trt]     -9.769  0.456 -10.632   -8.902      0.006   \n",
+       "              beta_[income] -10.481  0.191 -10.824  -10.110      0.003   \n",
+       "              alpha_outcome  42.649  0.416  41.863   43.427      0.007   \n",
+       "              beta_ps[0]     -8.073  0.954  -9.883   -6.319      0.016   \n",
+       "              beta_ps[1]     -0.913  0.872  -2.589    0.700      0.012   \n",
+       "\n",
+       "                             mcse_sd  ess_bulk  ess_tail  r_hat  \n",
+       "1-stage-model alpha_trt        0.001    2743.0    2641.0    1.0  \n",
+       "              beta_[trt]       0.006    1997.0    2631.0    1.0  \n",
+       "              beta_[income]    0.003    2052.0    2438.0    1.0  \n",
+       "              beta_ps[0]       0.010    2099.0    2470.0    1.0  \n",
+       "              beta_ps[1]       0.012    1856.0    2765.0    1.0  \n",
+       "              alpha_outcome    0.007    1742.0    2238.0    1.0  \n",
+       "2-stage-model beta_[trt]       0.004    5962.0    6149.0    1.0  \n",
+       "              beta_[income]    0.002    4637.0    5309.0    1.0  \n",
+       "              alpha_outcome    0.005    3657.0    4518.0    1.0  \n",
+       "              beta_ps[0]       0.011    3730.0    4650.0    1.0  \n",
+       "              beta_ps[1]       0.009    5708.0    6082.0    1.0  "
       ]
      },
-     "execution_count": 22,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3496,7 +4454,7 @@
     "            idata_net, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
     "        ),\n",
     "        \"2-stage-model\": az.summary(\n",
-    "            idata_outcome_2s_net, var_names=[\"beta_\", \"alpha_outcome\"]\n",
+    "            idata_outcome_2s_net, var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"]\n",
     "        ),\n",
     "    }\n",
     ")\n",
@@ -3507,7 +4465,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Here again we see broad consistency between both model specifications indicating that the regression adjustment approach in the 2 stage outcome model is appropriate and picks up on all relevant sources of confounding. "
+    "Here again we see broad consistency between both model specifications indicating that the regression adjustment approach in the 2 stage outcome model is appropriate and picks up on all relevant sources of confounding. This is despite the fact that we removed useful predictors `temperature`, `health` from the outcome model specification. The model leans on the information contained in the propensity score and weights the `beta_ps` information appropriately. "
    ]
   },
   {
@@ -3521,7 +4479,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -3655,7 +4613,7 @@
        "4    289.7899   False  False  "
       ]
      },
-     "execution_count": 23,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3669,7 +4627,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -3681,7 +4639,7 @@
        "Name: re78, dtype: float64"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3694,12 +4652,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The Naive group difference suggests a negative effect. "
+    "The Naive group difference suggests a negative effect. Lets see how our two models work when we remove predictors from the propensity model?"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -3715,21 +4673,26 @@
     },
     {
      "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6e368f4b04d44f089024f65f76016e43",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -3744,7 +4707,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 18 seconds.\n",
+      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 10 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -3755,16 +4718,13 @@
     },
     {
      "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "007b793dccd64bacb5371f701f373ce2",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
       ]
      },
      "metadata": {},
@@ -3784,38 +4744,27 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 10 seconds.\n",
+      "Sampling: [alpha_outcome, beta_, beta_ps, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma]\n"
+      "NUTS: [beta_, beta_ps, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "643ceb1ca57a4a69a66a25457b454975",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -3830,23 +4779,19 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n"
      ]
     }
    ],
    "source": [
     "coords = {\n",
     "    \"betas\": [\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
-    "    \"betas_trt\": [\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
+    "    \"betas_trt\": [\"hispan\", \"white\", \"married\", \"nodegree\"],\n",
     "    \"obs\": range(lalonde.shape[0]),\n",
     "}\n",
     "\n",
     "N = lalonde.shape[0]\n",
-    "X_trt = (\n",
-    "    lalonde[[\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
-    "    .astype(np.int32)\n",
-    "    .values\n",
-    ")\n",
+    "X_trt = lalonde[[\"hispan\", \"white\", \"married\", \"nodegree\"]].astype(np.int32).values\n",
     "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
     "\n",
     "X_outcome = (\n",
@@ -3854,6 +4799,7 @@
     "    .astype(np.int32)\n",
     "    .values\n",
     ")\n",
+    "# X_outcome = (X_outcome - X_outcome.mean()) / X_outcome.std()\n",
     "T_data = lalonde[\"treat\"].values\n",
     "Y_data = lalonde[\"re78\"].values\n",
     "\n",
@@ -3863,7 +4809,7 @@
     "    \"beta_trt\": [0, 1],\n",
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [2000, 500],\n",
-    "    \"sigma\": 1000,\n",
+    "    \"sigma\": 500,\n",
     "}\n",
     "\n",
     "lalonde_model = make_model(\n",
@@ -3883,12 +4829,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3911,7 +4857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -3949,245 +4895,281 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"11\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"12\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.356</td>\n",
-       "      <td>0.134</td>\n",
-       "      <td>-1.606</td>\n",
-       "      <td>-1.098</td>\n",
+       "      <td>-1.337</td>\n",
+       "      <td>0.135</td>\n",
+       "      <td>-1.597</td>\n",
+       "      <td>-1.092</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4757.0</td>\n",
-       "      <td>3008.0</td>\n",
+       "      <td>4572.0</td>\n",
+       "      <td>2776.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1149.665</td>\n",
-       "      <td>47.664</td>\n",
-       "      <td>1062.478</td>\n",
-       "      <td>1238.637</td>\n",
-       "      <td>0.745</td>\n",
-       "      <td>0.651</td>\n",
-       "      <td>4089.0</td>\n",
-       "      <td>3363.0</td>\n",
+       "      <td>897.593</td>\n",
+       "      <td>698.918</td>\n",
+       "      <td>-367.100</td>\n",
+       "      <td>2217.513</td>\n",
+       "      <td>10.850</td>\n",
+       "      <td>9.275</td>\n",
+       "      <td>4157.0</td>\n",
+       "      <td>3037.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>53.686</td>\n",
-       "      <td>1.904</td>\n",
-       "      <td>50.176</td>\n",
-       "      <td>57.363</td>\n",
-       "      <td>0.027</td>\n",
-       "      <td>0.033</td>\n",
-       "      <td>4856.0</td>\n",
-       "      <td>2549.0</td>\n",
+       "      <td>29.940</td>\n",
+       "      <td>25.449</td>\n",
+       "      <td>-18.837</td>\n",
+       "      <td>77.058</td>\n",
+       "      <td>0.334</td>\n",
+       "      <td>0.421</td>\n",
+       "      <td>5822.0</td>\n",
+       "      <td>3104.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>505.357</td>\n",
-       "      <td>9.270</td>\n",
-       "      <td>488.622</td>\n",
-       "      <td>522.969</td>\n",
-       "      <td>0.170</td>\n",
-       "      <td>0.124</td>\n",
-       "      <td>2994.0</td>\n",
-       "      <td>3271.0</td>\n",
+       "      <td>292.139</td>\n",
+       "      <td>69.657</td>\n",
+       "      <td>158.567</td>\n",
+       "      <td>421.276</td>\n",
+       "      <td>1.035</td>\n",
+       "      <td>1.075</td>\n",
+       "      <td>4533.0</td>\n",
+       "      <td>3515.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>2134.629</td>\n",
-       "      <td>60.840</td>\n",
-       "      <td>2026.959</td>\n",
-       "      <td>2256.010</td>\n",
-       "      <td>0.976</td>\n",
-       "      <td>0.893</td>\n",
-       "      <td>3897.0</td>\n",
-       "      <td>3167.0</td>\n",
+       "      <td>1593.906</td>\n",
+       "      <td>883.750</td>\n",
+       "      <td>-19.172</td>\n",
+       "      <td>3233.629</td>\n",
+       "      <td>12.677</td>\n",
+       "      <td>12.547</td>\n",
+       "      <td>4869.0</td>\n",
+       "      <td>3095.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1518.720</td>\n",
-       "      <td>46.575</td>\n",
-       "      <td>1431.052</td>\n",
-       "      <td>1603.345</td>\n",
-       "      <td>0.777</td>\n",
-       "      <td>0.700</td>\n",
-       "      <td>3610.0</td>\n",
-       "      <td>2969.0</td>\n",
+       "      <td>1223.780</td>\n",
+       "      <td>682.822</td>\n",
+       "      <td>-47.044</td>\n",
+       "      <td>2487.428</td>\n",
+       "      <td>10.840</td>\n",
+       "      <td>10.030</td>\n",
+       "      <td>3973.0</td>\n",
+       "      <td>3295.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2134.526</td>\n",
-       "      <td>39.122</td>\n",
-       "      <td>2061.917</td>\n",
-       "      <td>2207.717</td>\n",
-       "      <td>0.568</td>\n",
-       "      <td>0.595</td>\n",
-       "      <td>4742.0</td>\n",
-       "      <td>3058.0</td>\n",
+       "      <td>2094.674</td>\n",
+       "      <td>593.793</td>\n",
+       "      <td>997.970</td>\n",
+       "      <td>3234.417</td>\n",
+       "      <td>7.317</td>\n",
+       "      <td>9.170</td>\n",
+       "      <td>6555.0</td>\n",
+       "      <td>3248.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-128.850</td>\n",
-       "      <td>50.313</td>\n",
-       "      <td>-221.847</td>\n",
-       "      <td>-31.139</td>\n",
-       "      <td>0.881</td>\n",
-       "      <td>0.668</td>\n",
-       "      <td>3277.0</td>\n",
-       "      <td>3122.0</td>\n",
+       "      <td>-1087.557</td>\n",
+       "      <td>524.166</td>\n",
+       "      <td>-2078.290</td>\n",
+       "      <td>-110.903</td>\n",
+       "      <td>6.655</td>\n",
+       "      <td>9.080</td>\n",
+       "      <td>6221.0</td>\n",
+       "      <td>2867.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps</th>\n",
-       "      <td>0.029</td>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>-0.008</td>\n",
+       "      <td>0.997</td>\n",
+       "      <td>-1.825</td>\n",
+       "      <td>2.053</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.020</td>\n",
+       "      <td>7005.0</td>\n",
+       "      <td>2347.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>-0.011</td>\n",
        "      <td>0.996</td>\n",
-       "      <td>-1.874</td>\n",
-       "      <td>1.861</td>\n",
+       "      <td>-1.986</td>\n",
+       "      <td>1.771</td>\n",
        "      <td>0.012</td>\n",
        "      <td>0.020</td>\n",
-       "      <td>6824.0</td>\n",
-       "      <td>2648.0</td>\n",
+       "      <td>7336.0</td>\n",
+       "      <td>2766.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>-2002.387</td>\n",
-       "      <td>141.365</td>\n",
-       "      <td>-2272.877</td>\n",
-       "      <td>-1748.521</td>\n",
-       "      <td>2.687</td>\n",
-       "      <td>2.095</td>\n",
-       "      <td>2776.0</td>\n",
-       "      <td>2631.0</td>\n",
+       "      <td>1793.234</td>\n",
+       "      <td>479.095</td>\n",
+       "      <td>930.011</td>\n",
+       "      <td>2728.542</td>\n",
+       "      <td>6.376</td>\n",
+       "      <td>7.498</td>\n",
+       "      <td>5616.0</td>\n",
+       "      <td>2994.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>421.901</td>\n",
-       "      <td>0.498</td>\n",
-       "      <td>421.013</td>\n",
-       "      <td>422.858</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>6588.0</td>\n",
-       "      <td>2729.0</td>\n",
+       "      <td>6436.494</td>\n",
+       "      <td>148.542</td>\n",
+       "      <td>6161.420</td>\n",
+       "      <td>6709.245</td>\n",
+       "      <td>1.784</td>\n",
+       "      <td>2.569</td>\n",
+       "      <td>7060.0</td>\n",
+       "      <td>3091.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"9\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"11\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>982.737</td>\n",
-       "      <td>432.534</td>\n",
-       "      <td>151.694</td>\n",
-       "      <td>1784.738</td>\n",
-       "      <td>5.322</td>\n",
-       "      <td>4.525</td>\n",
-       "      <td>6602.0</td>\n",
-       "      <td>5864.0</td>\n",
+       "      <td>921.166</td>\n",
+       "      <td>695.150</td>\n",
+       "      <td>-390.455</td>\n",
+       "      <td>2227.062</td>\n",
+       "      <td>9.542</td>\n",
+       "      <td>7.521</td>\n",
+       "      <td>5309.0</td>\n",
+       "      <td>5872.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>31.638</td>\n",
-       "      <td>15.137</td>\n",
-       "      <td>1.777</td>\n",
-       "      <td>58.872</td>\n",
-       "      <td>0.172</td>\n",
-       "      <td>0.161</td>\n",
-       "      <td>7782.0</td>\n",
-       "      <td>6179.0</td>\n",
+       "      <td>30.376</td>\n",
+       "      <td>25.719</td>\n",
+       "      <td>-17.570</td>\n",
+       "      <td>77.473</td>\n",
+       "      <td>0.332</td>\n",
+       "      <td>0.286</td>\n",
+       "      <td>6032.0</td>\n",
+       "      <td>5517.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>305.380</td>\n",
-       "      <td>47.647</td>\n",
-       "      <td>214.204</td>\n",
-       "      <td>392.922</td>\n",
-       "      <td>0.583</td>\n",
-       "      <td>0.495</td>\n",
-       "      <td>6676.0</td>\n",
-       "      <td>6020.0</td>\n",
+       "      <td>290.383</td>\n",
+       "      <td>70.739</td>\n",
+       "      <td>152.531</td>\n",
+       "      <td>420.041</td>\n",
+       "      <td>0.993</td>\n",
+       "      <td>0.848</td>\n",
+       "      <td>5076.0</td>\n",
+       "      <td>5362.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>1722.886</td>\n",
-       "      <td>548.324</td>\n",
-       "      <td>688.310</td>\n",
-       "      <td>2736.441</td>\n",
-       "      <td>6.220</td>\n",
-       "      <td>5.738</td>\n",
-       "      <td>7784.0</td>\n",
-       "      <td>5739.0</td>\n",
+       "      <td>1624.045</td>\n",
+       "      <td>880.940</td>\n",
+       "      <td>-69.748</td>\n",
+       "      <td>3202.882</td>\n",
+       "      <td>11.429</td>\n",
+       "      <td>9.389</td>\n",
+       "      <td>5938.0</td>\n",
+       "      <td>5211.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1305.426</td>\n",
-       "      <td>415.246</td>\n",
-       "      <td>528.163</td>\n",
-       "      <td>2075.234</td>\n",
-       "      <td>5.071</td>\n",
-       "      <td>4.386</td>\n",
-       "      <td>6708.0</td>\n",
-       "      <td>5980.0</td>\n",
+       "      <td>1246.571</td>\n",
+       "      <td>682.593</td>\n",
+       "      <td>3.316</td>\n",
+       "      <td>2569.644</td>\n",
+       "      <td>9.461</td>\n",
+       "      <td>7.418</td>\n",
+       "      <td>5213.0</td>\n",
+       "      <td>5582.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2105.549</td>\n",
-       "      <td>356.780</td>\n",
-       "      <td>1421.461</td>\n",
-       "      <td>2753.465</td>\n",
-       "      <td>3.982</td>\n",
-       "      <td>3.709</td>\n",
-       "      <td>8016.0</td>\n",
-       "      <td>6347.0</td>\n",
+       "      <td>2070.076</td>\n",
+       "      <td>606.118</td>\n",
+       "      <td>939.815</td>\n",
+       "      <td>3228.152</td>\n",
+       "      <td>6.936</td>\n",
+       "      <td>6.706</td>\n",
+       "      <td>7661.0</td>\n",
+       "      <td>5838.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-1036.309</td>\n",
-       "      <td>329.961</td>\n",
-       "      <td>-1635.165</td>\n",
-       "      <td>-394.982</td>\n",
-       "      <td>3.855</td>\n",
-       "      <td>3.469</td>\n",
-       "      <td>7333.0</td>\n",
-       "      <td>6021.0</td>\n",
+       "      <td>-1098.141</td>\n",
+       "      <td>520.188</td>\n",
+       "      <td>-2110.320</td>\n",
+       "      <td>-152.275</td>\n",
+       "      <td>6.249</td>\n",
+       "      <td>5.268</td>\n",
+       "      <td>6941.0</td>\n",
+       "      <td>5636.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>-0.010</td>\n",
+       "      <td>1.003</td>\n",
+       "      <td>-1.806</td>\n",
+       "      <td>1.917</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>7743.0</td>\n",
+       "      <td>6006.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.980</td>\n",
+       "      <td>-1.907</td>\n",
+       "      <td>1.781</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>9430.0</td>\n",
+       "      <td>6466.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1487.513</td>\n",
-       "      <td>463.684</td>\n",
-       "      <td>644.577</td>\n",
-       "      <td>2367.598</td>\n",
-       "      <td>5.358</td>\n",
-       "      <td>4.881</td>\n",
-       "      <td>7492.0</td>\n",
-       "      <td>5674.0</td>\n",
+       "      <td>1798.640</td>\n",
+       "      <td>482.733</td>\n",
+       "      <td>875.017</td>\n",
+       "      <td>2674.645</td>\n",
+       "      <td>5.671</td>\n",
+       "      <td>5.460</td>\n",
+       "      <td>7248.0</td>\n",
+       "      <td>5663.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>3884.807</td>\n",
-       "      <td>45.999</td>\n",
-       "      <td>3797.858</td>\n",
-       "      <td>3971.227</td>\n",
-       "      <td>0.495</td>\n",
-       "      <td>0.579</td>\n",
-       "      <td>8665.0</td>\n",
-       "      <td>5243.0</td>\n",
+       "      <td>6435.687</td>\n",
+       "      <td>149.728</td>\n",
+       "      <td>6160.962</td>\n",
+       "      <td>6721.915</td>\n",
+       "      <td>1.706</td>\n",
+       "      <td>1.675</td>\n",
+       "      <td>7693.0</td>\n",
+       "      <td>5575.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4196,51 +5178,57 @@
       ],
       "text/plain": [
        "                                   mean       sd    hdi_3%   hdi_97%  \\\n",
-       "1-stage-model alpha_trt          -1.356    0.134    -1.606    -1.098   \n",
-       "              beta_[treat]     1149.665   47.664  1062.478  1238.637   \n",
-       "              beta_[age]         53.686    1.904    50.176    57.363   \n",
-       "              beta_[educ]       505.357    9.270   488.622   522.969   \n",
-       "              beta_[hispan]    2134.629   60.840  2026.959  2256.010   \n",
-       "              beta_[white]     1518.720   46.575  1431.052  1603.345   \n",
-       "              beta_[married]   2134.526   39.122  2061.917  2207.717   \n",
-       "              beta_[nodegree]  -128.850   50.313  -221.847   -31.139   \n",
-       "              beta_ps             0.029    0.996    -1.874     1.861   \n",
-       "              alpha_outcome   -2002.387  141.365 -2272.877 -1748.521   \n",
-       "              sigma             421.901    0.498   421.013   422.858   \n",
-       "2-stage-model beta_[treat]      982.737  432.534   151.694  1784.738   \n",
-       "              beta_[age]         31.638   15.137     1.777    58.872   \n",
-       "              beta_[educ]       305.380   47.647   214.204   392.922   \n",
-       "              beta_[hispan]    1722.886  548.324   688.310  2736.441   \n",
-       "              beta_[white]     1305.426  415.246   528.163  2075.234   \n",
-       "              beta_[married]   2105.549  356.780  1421.461  2753.465   \n",
-       "              beta_[nodegree] -1036.309  329.961 -1635.165  -394.982   \n",
-       "              alpha_outcome    1487.513  463.684   644.577  2367.598   \n",
-       "              sigma            3884.807   45.999  3797.858  3971.227   \n",
+       "1-stage-model alpha_trt          -1.337    0.135    -1.597    -1.092   \n",
+       "              beta_[treat]      897.593  698.918  -367.100  2217.513   \n",
+       "              beta_[age]         29.940   25.449   -18.837    77.058   \n",
+       "              beta_[educ]       292.139   69.657   158.567   421.276   \n",
+       "              beta_[hispan]    1593.906  883.750   -19.172  3233.629   \n",
+       "              beta_[white]     1223.780  682.822   -47.044  2487.428   \n",
+       "              beta_[married]   2094.674  593.793   997.970  3234.417   \n",
+       "              beta_[nodegree] -1087.557  524.166 -2078.290  -110.903   \n",
+       "              beta_ps[0]         -0.008    0.997    -1.825     2.053   \n",
+       "              beta_ps[1]         -0.011    0.996    -1.986     1.771   \n",
+       "              alpha_outcome    1793.234  479.095   930.011  2728.542   \n",
+       "              sigma            6436.494  148.542  6161.420  6709.245   \n",
+       "2-stage-model beta_[treat]      921.166  695.150  -390.455  2227.062   \n",
+       "              beta_[age]         30.376   25.719   -17.570    77.473   \n",
+       "              beta_[educ]       290.383   70.739   152.531   420.041   \n",
+       "              beta_[hispan]    1624.045  880.940   -69.748  3202.882   \n",
+       "              beta_[white]     1246.571  682.593     3.316  2569.644   \n",
+       "              beta_[married]   2070.076  606.118   939.815  3228.152   \n",
+       "              beta_[nodegree] -1098.141  520.188 -2110.320  -152.275   \n",
+       "              beta_ps[0]         -0.010    1.003    -1.806     1.917   \n",
+       "              beta_ps[1]          0.014    0.980    -1.907     1.781   \n",
+       "              alpha_outcome    1798.640  482.733   875.017  2674.645   \n",
+       "              sigma            6435.687  149.728  6160.962  6721.915   \n",
        "\n",
        "                               mcse_mean  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt            0.002    0.002    4757.0    3008.0    1.0  \n",
-       "              beta_[treat]         0.745    0.651    4089.0    3363.0    1.0  \n",
-       "              beta_[age]           0.027    0.033    4856.0    2549.0    1.0  \n",
-       "              beta_[educ]          0.170    0.124    2994.0    3271.0    1.0  \n",
-       "              beta_[hispan]        0.976    0.893    3897.0    3167.0    1.0  \n",
-       "              beta_[white]         0.777    0.700    3610.0    2969.0    1.0  \n",
-       "              beta_[married]       0.568    0.595    4742.0    3058.0    1.0  \n",
-       "              beta_[nodegree]      0.881    0.668    3277.0    3122.0    1.0  \n",
-       "              beta_ps              0.012    0.020    6824.0    2648.0    1.0  \n",
-       "              alpha_outcome        2.687    2.095    2776.0    2631.0    1.0  \n",
-       "              sigma                0.006    0.008    6588.0    2729.0    1.0  \n",
-       "2-stage-model beta_[treat]         5.322    4.525    6602.0    5864.0    1.0  \n",
-       "              beta_[age]           0.172    0.161    7782.0    6179.0    1.0  \n",
-       "              beta_[educ]          0.583    0.495    6676.0    6020.0    1.0  \n",
-       "              beta_[hispan]        6.220    5.738    7784.0    5739.0    1.0  \n",
-       "              beta_[white]         5.071    4.386    6708.0    5980.0    1.0  \n",
-       "              beta_[married]       3.982    3.709    8016.0    6347.0    1.0  \n",
-       "              beta_[nodegree]      3.855    3.469    7333.0    6021.0    1.0  \n",
-       "              alpha_outcome        5.358    4.881    7492.0    5674.0    1.0  \n",
-       "              sigma                0.495    0.579    8665.0    5243.0    1.0  "
+       "1-stage-model alpha_trt            0.002    0.002    4572.0    2776.0    1.0  \n",
+       "              beta_[treat]        10.850    9.275    4157.0    3037.0    1.0  \n",
+       "              beta_[age]           0.334    0.421    5822.0    3104.0    1.0  \n",
+       "              beta_[educ]          1.035    1.075    4533.0    3515.0    1.0  \n",
+       "              beta_[hispan]       12.677   12.547    4869.0    3095.0    1.0  \n",
+       "              beta_[white]        10.840   10.030    3973.0    3295.0    1.0  \n",
+       "              beta_[married]       7.317    9.170    6555.0    3248.0    1.0  \n",
+       "              beta_[nodegree]      6.655    9.080    6221.0    2867.0    1.0  \n",
+       "              beta_ps[0]           0.012    0.020    7005.0    2347.0    1.0  \n",
+       "              beta_ps[1]           0.012    0.020    7336.0    2766.0    1.0  \n",
+       "              alpha_outcome        6.376    7.498    5616.0    2994.0    1.0  \n",
+       "              sigma                1.784    2.569    7060.0    3091.0    1.0  \n",
+       "2-stage-model beta_[treat]         9.542    7.521    5309.0    5872.0    1.0  \n",
+       "              beta_[age]           0.332    0.286    6032.0    5517.0    1.0  \n",
+       "              beta_[educ]          0.993    0.848    5076.0    5362.0    1.0  \n",
+       "              beta_[hispan]       11.429    9.389    5938.0    5211.0    1.0  \n",
+       "              beta_[white]         9.461    7.418    5213.0    5582.0    1.0  \n",
+       "              beta_[married]       6.936    6.706    7661.0    5838.0    1.0  \n",
+       "              beta_[nodegree]      6.249    5.268    6941.0    5636.0    1.0  \n",
+       "              beta_ps[0]           0.011    0.011    7743.0    6006.0    1.0  \n",
+       "              beta_ps[1]           0.010    0.011    9430.0    6466.0    1.0  \n",
+       "              alpha_outcome        5.671    5.460    7248.0    5663.0    1.0  \n",
+       "              sigma                1.706    1.675    7693.0    5575.0    1.0  "
       ]
      },
-     "execution_count": 32,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4253,7 +5241,8 @@
     "            var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\", \"sigma\"],\n",
     "        ),\n",
     "        \"2-stage-model\": az.summary(\n",
-    "            idata_outcome_2s_lalonde, var_names=[\"beta_\", \"alpha_outcome\", \"sigma\"]\n",
+    "            idata_outcome_2s_lalonde,\n",
+    "            var_names=[\"beta_\", \"beta_ps\", \"alpha_outcome\", \"sigma\"],\n",
     "        ),\n",
     "    }\n",
     ")\n",
@@ -4264,7 +5253,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Both estimates of the treatment effects accord well with values in the literature. We can be happy that both models are picking up on the structure of the conditional treatment effect well. "
+    "Both estimates of the treatment effects accord well with values in the literature. We can be happy that both models are picking up on the treatment effects reasonably despite having a minimalist propensity score model. This is because in the Bayesian setting the conditional distribution of $X, T$ are generally sufficient when there is no unmeasured confounders. Here the model just ignores the propensity score coefficients `beta_ps`"
    ]
   },
   {
@@ -4278,7 +5267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -4369,7 +5358,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4381,27 +5370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "np.float64(7.879912854359537)"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df[\"outcome\"].std()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -4417,29 +5386,18 @@
     },
     {
      "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "bdbd58d3385c4ddfa35e67923d07f14d",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -4454,7 +5412,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 46 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -4465,16 +5423,13 @@
     },
     {
      "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "02393a747e6f4166bda611b66dcb1025",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
       ]
      },
      "metadata": {},
@@ -4494,25 +5449,22 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 36 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std, beta_ps, alpha_outcome, sigma]\n"
      ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n",
-       "</pre>\n"
-      ],
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "cf55bcb2c0074706b1c6a520b9c1a4a9",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/rich/live.py:231: UserWarning: install \n",
-       "\"ipywidgets\" for Jupyter support\n",
-       "  warnings.warn('install \"ipywidgets\" for Jupyter support')\n"
+       "Output()"
       ]
      },
      "metadata": {},
@@ -4526,6 +5478,14 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -4540,29 +5500,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
      ]
     }
    ],
    "source": [
     "coords = {\n",
-    "    \"betas\": [\n",
-    "        \"trt\",\n",
-    "        \"age\",\n",
-    "        \"smokeintensity\",\n",
-    "        \"smokeyrs\",\n",
-    "        \"wt71\",\n",
-    "        \"active_1\",\n",
-    "        \"active_2\",\n",
-    "        \"education_2\",\n",
-    "        \"education_3\",\n",
-    "        \"education_4\",\n",
-    "        \"education_5\",\n",
-    "        \"exercise_1\",\n",
-    "        \"exercise_2\",\n",
-    "    ],\n",
+    "    \"betas\": [\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"],\n",
     "    \"betas_trt\": [\n",
     "        \"age\",\n",
+    "        \"race\",\n",
+    "        \"sex\",\n",
     "        \"smokeintensity\",\n",
     "        \"smokeyrs\",\n",
     "        \"wt71\",\n",
@@ -4574,6 +5522,10 @@
     "        \"education_5\",\n",
     "        \"exercise_1\",\n",
     "        \"exercise_2\",\n",
+    "        \"age^2\",\n",
+    "        \"wt71^2\",\n",
+    "        \"smokeintensity^2\",\n",
+    "        \"smokeyrs^2\",\n",
     "    ],\n",
     "    \"obs\": range(df.shape[0]),\n",
     "}\n",
@@ -4582,6 +5534,8 @@
     "X_trt = df[\n",
     "    [\n",
     "        \"age\",\n",
+    "        \"race\",\n",
+    "        \"sex\",\n",
     "        \"smokeintensity\",\n",
     "        \"smokeyrs\",\n",
     "        \"wt71\",\n",
@@ -4593,26 +5547,14 @@
     "        \"education_5\",\n",
     "        \"exercise_1\",\n",
     "        \"exercise_2\",\n",
+    "        \"age^2\",\n",
+    "        \"wt71^2\",\n",
+    "        \"smokeintensity^2\",\n",
+    "        \"smokeyrs^2\",\n",
     "    ]\n",
     "]\n",
     "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
-    "X_outcome = df[\n",
-    "    [\n",
-    "        \"trt\",\n",
-    "        \"age\",\n",
-    "        \"smokeintensity\",\n",
-    "        \"smokeyrs\",\n",
-    "        \"wt71\",\n",
-    "        \"active_1\",\n",
-    "        \"active_2\",\n",
-    "        \"education_2\",\n",
-    "        \"education_3\",\n",
-    "        \"education_4\",\n",
-    "        \"education_5\",\n",
-    "        \"exercise_1\",\n",
-    "        \"exercise_2\",\n",
-    "    ]\n",
-    "]\n",
+    "X_outcome = df[[\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"]]\n",
     "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
     "T_data = df[\"trt\"].values\n",
     "X_outcome[\"trt\"] = T_data\n",
@@ -4636,17 +5578,19 @@
     "    idata_outcome_2s_nhefs,\n",
     "    treatment_model_nhefs,\n",
     "    outcome_model_nhefs,\n",
-    ") = make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)"
+    ") = make_2step_model(\n",
+    "    X_trt, X_outcome, T_data, Y_data, coords, priors=priors, spline_component=True\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4677,7 +5621,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -4706,362 +5650,146 @@
        "      <th>sd</th>\n",
        "      <th>hdi_3%</th>\n",
        "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
        "      <th>r_hat</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"15\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"9\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.118</td>\n",
+       "      <td>-1.153</td>\n",
        "      <td>0.061</td>\n",
-       "      <td>-1.233</td>\n",
-       "      <td>-1.004</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>8949.0</td>\n",
-       "      <td>5466.0</td>\n",
+       "      <td>-1.260</td>\n",
+       "      <td>-1.030</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.939</td>\n",
-       "      <td>0.400</td>\n",
-       "      <td>2.195</td>\n",
-       "      <td>3.684</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>8761.0</td>\n",
-       "      <td>5988.0</td>\n",
+       "      <td>2.754</td>\n",
+       "      <td>0.468</td>\n",
+       "      <td>1.869</td>\n",
+       "      <td>3.623</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.232</td>\n",
-       "      <td>0.349</td>\n",
-       "      <td>-2.884</td>\n",
-       "      <td>-1.577</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5547.0</td>\n",
-       "      <td>6008.0</td>\n",
+       "      <td>-2.227</td>\n",
+       "      <td>0.353</td>\n",
+       "      <td>-2.900</td>\n",
+       "      <td>-1.576</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.318</td>\n",
-       "      <td>0.191</td>\n",
+       "      <td>0.308</td>\n",
+       "      <td>0.190</td>\n",
        "      <td>-0.042</td>\n",
-       "      <td>0.676</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>10563.0</td>\n",
-       "      <td>6292.0</td>\n",
+       "      <td>0.669</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.568</td>\n",
+       "      <td>0.502</td>\n",
        "      <td>0.345</td>\n",
-       "      <td>-0.075</td>\n",
-       "      <td>1.215</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5670.0</td>\n",
-       "      <td>5796.0</td>\n",
+       "      <td>-0.155</td>\n",
+       "      <td>1.129</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.172</td>\n",
-       "      <td>0.185</td>\n",
-       "      <td>-1.519</td>\n",
-       "      <td>-0.823</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>8993.0</td>\n",
-       "      <td>6147.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.604</td>\n",
-       "      <td>0.198</td>\n",
-       "      <td>-0.982</td>\n",
-       "      <td>-0.243</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>7946.0</td>\n",
-       "      <td>6574.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.152</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-0.525</td>\n",
-       "      <td>0.217</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>8523.0</td>\n",
-       "      <td>6101.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[education_2]</th>\n",
-       "      <td>0.282</td>\n",
-       "      <td>0.234</td>\n",
-       "      <td>-0.161</td>\n",
-       "      <td>0.722</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6755.0</td>\n",
-       "      <td>6298.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[education_3]</th>\n",
-       "      <td>0.249</td>\n",
-       "      <td>0.249</td>\n",
-       "      <td>-0.243</td>\n",
-       "      <td>0.680</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>5789.0</td>\n",
-       "      <td>6192.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[education_4]</th>\n",
-       "      <td>0.300</td>\n",
-       "      <td>0.212</td>\n",
-       "      <td>-0.098</td>\n",
-       "      <td>0.689</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6595.0</td>\n",
-       "      <td>6615.0</td>\n",
+       "      <td>-1.185</td>\n",
+       "      <td>0.188</td>\n",
+       "      <td>-1.543</td>\n",
+       "      <td>-0.840</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.050</td>\n",
-       "      <td>0.225</td>\n",
-       "      <td>-0.492</td>\n",
-       "      <td>0.351</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6526.0</td>\n",
-       "      <td>6293.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.116</td>\n",
-       "      <td>0.251</td>\n",
-       "      <td>-0.335</td>\n",
-       "      <td>0.616</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6283.0</td>\n",
-       "      <td>6240.0</td>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>2.089</td>\n",
+       "      <td>0.328</td>\n",
+       "      <td>1.469</td>\n",
+       "      <td>2.680</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.099</td>\n",
-       "      <td>0.255</td>\n",
-       "      <td>-0.367</td>\n",
-       "      <td>0.603</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>6704.0</td>\n",
-       "      <td>6212.0</td>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>-0.644</td>\n",
+       "      <td>0.988</td>\n",
+       "      <td>-2.572</td>\n",
+       "      <td>1.119</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>1.825</td>\n",
-       "      <td>0.309</td>\n",
-       "      <td>1.252</td>\n",
-       "      <td>2.404</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>4529.0</td>\n",
-       "      <td>5389.0</td>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>0.250</td>\n",
+       "      <td>0.944</td>\n",
+       "      <td>-1.502</td>\n",
+       "      <td>2.011</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"14\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"8\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.839</td>\n",
-       "      <td>0.407</td>\n",
-       "      <td>2.094</td>\n",
-       "      <td>3.609</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>11153.0</td>\n",
-       "      <td>5679.0</td>\n",
+       "      <td>2.790</td>\n",
+       "      <td>0.461</td>\n",
+       "      <td>1.915</td>\n",
+       "      <td>3.641</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.195</td>\n",
-       "      <td>0.357</td>\n",
-       "      <td>-2.869</td>\n",
-       "      <td>-1.532</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>6158.0</td>\n",
-       "      <td>5999.0</td>\n",
+       "      <td>-2.192</td>\n",
+       "      <td>0.352</td>\n",
+       "      <td>-2.868</td>\n",
+       "      <td>-1.537</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.300</td>\n",
-       "      <td>0.190</td>\n",
-       "      <td>-0.038</td>\n",
-       "      <td>0.676</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>11566.0</td>\n",
-       "      <td>5889.0</td>\n",
+       "      <td>0.297</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>-0.052</td>\n",
+       "      <td>0.666</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.554</td>\n",
-       "      <td>0.349</td>\n",
-       "      <td>-0.125</td>\n",
-       "      <td>1.210</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>6058.0</td>\n",
-       "      <td>5915.0</td>\n",
+       "      <td>0.489</td>\n",
+       "      <td>0.342</td>\n",
+       "      <td>-0.149</td>\n",
+       "      <td>1.136</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.158</td>\n",
-       "      <td>0.187</td>\n",
-       "      <td>-1.509</td>\n",
-       "      <td>-0.820</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>11354.0</td>\n",
-       "      <td>6262.0</td>\n",
+       "      <td>-1.177</td>\n",
+       "      <td>0.186</td>\n",
+       "      <td>-1.522</td>\n",
+       "      <td>-0.818</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.601</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>-0.975</td>\n",
-       "      <td>-0.219</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>9888.0</td>\n",
-       "      <td>6240.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.156</td>\n",
-       "      <td>0.197</td>\n",
-       "      <td>-0.517</td>\n",
-       "      <td>0.223</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>11303.0</td>\n",
-       "      <td>5832.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[education_2]</th>\n",
-       "      <td>0.292</td>\n",
-       "      <td>0.240</td>\n",
-       "      <td>-0.166</td>\n",
-       "      <td>0.732</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6319.0</td>\n",
-       "      <td>6291.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[education_3]</th>\n",
-       "      <td>0.265</td>\n",
-       "      <td>0.257</td>\n",
-       "      <td>-0.240</td>\n",
-       "      <td>0.728</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5450.0</td>\n",
-       "      <td>5526.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[education_4]</th>\n",
-       "      <td>0.309</td>\n",
-       "      <td>0.216</td>\n",
-       "      <td>-0.094</td>\n",
-       "      <td>0.721</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>7063.0</td>\n",
-       "      <td>6489.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.022</td>\n",
-       "      <td>0.231</td>\n",
-       "      <td>-0.474</td>\n",
-       "      <td>0.384</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>5892.0</td>\n",
-       "      <td>6169.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.124</td>\n",
-       "      <td>0.254</td>\n",
-       "      <td>-0.355</td>\n",
-       "      <td>0.590</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>7788.0</td>\n",
-       "      <td>6602.0</td>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>2.145</td>\n",
+       "      <td>0.301</td>\n",
+       "      <td>1.559</td>\n",
+       "      <td>2.681</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.101</td>\n",
-       "      <td>0.256</td>\n",
-       "      <td>-0.365</td>\n",
-       "      <td>0.593</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>7586.0</td>\n",
-       "      <td>6382.0</td>\n",
+       "      <th>beta_ps[0]</th>\n",
+       "      <td>-0.912</td>\n",
+       "      <td>0.879</td>\n",
+       "      <td>-2.510</td>\n",
+       "      <td>0.734</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>alpha_outcome</th>\n",
-       "      <td>2.019</td>\n",
-       "      <td>0.342</td>\n",
-       "      <td>1.372</td>\n",
-       "      <td>2.658</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>6019.0</td>\n",
-       "      <td>5667.0</td>\n",
+       "      <th>beta_ps[1]</th>\n",
+       "      <td>0.164</td>\n",
+       "      <td>0.919</td>\n",
+       "      <td>-1.477</td>\n",
+       "      <td>1.900</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -5069,70 +5797,27 @@
        "</div>"
       ],
       "text/plain": [
-       "                                      mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt             -1.118  0.061  -1.233   -1.004      0.001   \n",
-       "              beta_[trt]             2.939  0.400   2.195    3.684      0.004   \n",
-       "              beta_[age]            -2.232  0.349  -2.884   -1.577      0.005   \n",
-       "              beta_[smokeintensity]  0.318  0.191  -0.042    0.676      0.002   \n",
-       "              beta_[smokeyrs]        0.568  0.345  -0.075    1.215      0.005   \n",
-       "              beta_[wt71]           -1.172  0.185  -1.519   -0.823      0.002   \n",
-       "              beta_[active_1]       -0.604  0.198  -0.982   -0.243      0.002   \n",
-       "              beta_[active_2]       -0.152  0.195  -0.525    0.217      0.002   \n",
-       "              beta_[education_2]     0.282  0.234  -0.161    0.722      0.003   \n",
-       "              beta_[education_3]     0.249  0.249  -0.243    0.680      0.003   \n",
-       "              beta_[education_4]     0.300  0.212  -0.098    0.689      0.003   \n",
-       "              beta_[education_5]    -0.050  0.225  -0.492    0.351      0.003   \n",
-       "              beta_[exercise_1]      0.116  0.251  -0.335    0.616      0.003   \n",
-       "              beta_[exercise_2]      0.099  0.255  -0.367    0.603      0.003   \n",
-       "              alpha_outcome          1.825  0.309   1.252    2.404      0.005   \n",
-       "2-stage-model beta_[trt]             2.839  0.407   2.094    3.609      0.004   \n",
-       "              beta_[age]            -2.195  0.357  -2.869   -1.532      0.005   \n",
-       "              beta_[smokeintensity]  0.300  0.190  -0.038    0.676      0.002   \n",
-       "              beta_[smokeyrs]        0.554  0.349  -0.125    1.210      0.004   \n",
-       "              beta_[wt71]           -1.158  0.187  -1.509   -0.820      0.002   \n",
-       "              beta_[active_1]       -0.601  0.200  -0.975   -0.219      0.002   \n",
-       "              beta_[active_2]       -0.156  0.197  -0.517    0.223      0.002   \n",
-       "              beta_[education_2]     0.292  0.240  -0.166    0.732      0.003   \n",
-       "              beta_[education_3]     0.265  0.257  -0.240    0.728      0.003   \n",
-       "              beta_[education_4]     0.309  0.216  -0.094    0.721      0.003   \n",
-       "              beta_[education_5]    -0.022  0.231  -0.474    0.384      0.003   \n",
-       "              beta_[exercise_1]      0.124  0.254  -0.355    0.590      0.003   \n",
-       "              beta_[exercise_2]      0.101  0.256  -0.365    0.593      0.003   \n",
-       "              alpha_outcome          2.019  0.342   1.372    2.658      0.004   \n",
-       "\n",
-       "                                     mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt                0.001    8949.0    5466.0    1.0  \n",
-       "              beta_[trt]               0.004    8761.0    5988.0    1.0  \n",
-       "              beta_[age]               0.004    5547.0    6008.0    1.0  \n",
-       "              beta_[smokeintensity]    0.002   10563.0    6292.0    1.0  \n",
-       "              beta_[smokeyrs]          0.003    5670.0    5796.0    1.0  \n",
-       "              beta_[wt71]              0.002    8993.0    6147.0    1.0  \n",
-       "              beta_[active_1]          0.002    7946.0    6574.0    1.0  \n",
-       "              beta_[active_2]          0.002    8523.0    6101.0    1.0  \n",
-       "              beta_[education_2]       0.002    6755.0    6298.0    1.0  \n",
-       "              beta_[education_3]       0.002    5789.0    6192.0    1.0  \n",
-       "              beta_[education_4]       0.002    6595.0    6615.0    1.0  \n",
-       "              beta_[education_5]       0.002    6526.0    6293.0    1.0  \n",
-       "              beta_[exercise_1]        0.002    6283.0    6240.0    1.0  \n",
-       "              beta_[exercise_2]        0.003    6704.0    6212.0    1.0  \n",
-       "              alpha_outcome            0.003    4529.0    5389.0    1.0  \n",
-       "2-stage-model beta_[trt]               0.005   11153.0    5679.0    1.0  \n",
-       "              beta_[age]               0.004    6158.0    5999.0    1.0  \n",
-       "              beta_[smokeintensity]    0.002   11566.0    5889.0    1.0  \n",
-       "              beta_[smokeyrs]          0.004    6058.0    5915.0    1.0  \n",
-       "              beta_[wt71]              0.002   11354.0    6262.0    1.0  \n",
-       "              beta_[active_1]          0.002    9888.0    6240.0    1.0  \n",
-       "              beta_[active_2]          0.002   11303.0    5832.0    1.0  \n",
-       "              beta_[education_2]       0.002    6319.0    6291.0    1.0  \n",
-       "              beta_[education_3]       0.003    5450.0    5526.0    1.0  \n",
-       "              beta_[education_4]       0.002    7063.0    6489.0    1.0  \n",
-       "              beta_[education_5]       0.002    5892.0    6169.0    1.0  \n",
-       "              beta_[exercise_1]        0.003    7788.0    6602.0    1.0  \n",
-       "              beta_[exercise_2]        0.003    7586.0    6382.0    1.0  \n",
-       "              alpha_outcome            0.004    6019.0    5667.0    1.0  "
+       "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
+       "1-stage-model alpha_trt             -1.153  0.061  -1.260   -1.030    1.0\n",
+       "              beta_[trt]             2.754  0.468   1.869    3.623    1.0\n",
+       "              beta_[age]            -2.227  0.353  -2.900   -1.576    1.0\n",
+       "              beta_[smokeintensity]  0.308  0.190  -0.042    0.669    1.0\n",
+       "              beta_[smokeyrs]        0.502  0.345  -0.155    1.129    1.0\n",
+       "              beta_[wt71]           -1.185  0.188  -1.543   -0.840    1.0\n",
+       "              alpha_outcome          2.089  0.328   1.469    2.680    1.0\n",
+       "              beta_ps[0]            -0.644  0.988  -2.572    1.119    1.0\n",
+       "              beta_ps[1]             0.250  0.944  -1.502    2.011    1.0\n",
+       "2-stage-model beta_[trt]             2.790  0.461   1.915    3.641    1.0\n",
+       "              beta_[age]            -2.192  0.352  -2.868   -1.537    1.0\n",
+       "              beta_[smokeintensity]  0.297  0.192  -0.052    0.666    1.0\n",
+       "              beta_[smokeyrs]        0.489  0.342  -0.149    1.136    1.0\n",
+       "              beta_[wt71]           -1.177  0.186  -1.522   -0.818    1.0\n",
+       "              alpha_outcome          2.145  0.301   1.559    2.681    1.0\n",
+       "              beta_ps[0]            -0.912  0.879  -2.510    0.734    1.0\n",
+       "              beta_ps[1]             0.164  0.919  -1.477    1.900    1.0"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5141,34 +5826,34 @@
     "compare_estimate = pd.concat(\n",
     "    {\n",
     "        \"1-stage-model\": az.summary(\n",
-    "            idata_nhefs, var_names=[\"alpha_trt\", \"beta_\", \"alpha_outcome\"]\n",
+    "            idata_nhefs, var_names=[\"alpha_trt\", \"beta_\", \"alpha_outcome\", \"beta_ps\"]\n",
     "        ),\n",
     "        \"2-stage-model\": az.summary(\n",
-    "            idata_outcome_2s_nhefs, var_names=[\"beta_\", \"alpha_outcome\"]\n",
+    "            idata_outcome_2s_nhefs, var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"]\n",
     "        ),\n",
     "    }\n",
     ")\n",
-    "compare_estimate"
+    "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.lines.Line2D at 0x16d13e710>"
+       "<matplotlib.lines.Line2D at 0x2be290e10>"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 720x480 with 1 Axes>"
       ]
@@ -5188,12 +5873,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Two-Stage Outcome Modelling with CausalPy\n"
+    "## Two-Stage Outcome Modelling with CausalPy\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -5202,19 +5887,19 @@
      "text": [
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [b]\n",
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
-      "Sampling: [b, t_pred]\n",
+      "NUTS: [beta_std]\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
+      "Sampling: [beta_std, t_pred]\n",
       "Sampling: [t_pred]\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x2b81af1d0>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x1756c16a0>"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5249,27 +5934,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "az.plot_trace(result.idata, var_names=[\"b\"]);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -5299,7 +5964,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -5312,7 +5977,7 @@
       "NUTS: [beta_std, beta_ps_spline, beta_ps, a_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n",
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 25 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 20 seconds.\n"
      ]
     }
    ],
@@ -5329,7 +5994,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -5367,194 +6032,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
-       "      <td>-0.005</td>\n",
-       "      <td>0.974</td>\n",
-       "      <td>-1.860</td>\n",
-       "      <td>1.802</td>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>4793.0</td>\n",
-       "      <td>5241.0</td>\n",
+       "      <td>-0.003</td>\n",
+       "      <td>1.015</td>\n",
+       "      <td>-1.909</td>\n",
+       "      <td>1.844</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>3946.0</td>\n",
+       "      <td>4602.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-1.981</td>\n",
-       "      <td>0.361</td>\n",
-       "      <td>-2.644</td>\n",
-       "      <td>-1.297</td>\n",
-       "      <td>0.005</td>\n",
+       "      <td>-1.975</td>\n",
+       "      <td>0.375</td>\n",
+       "      <td>-2.639</td>\n",
+       "      <td>-1.235</td>\n",
+       "      <td>0.006</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5097.0</td>\n",
-       "      <td>5640.0</td>\n",
+       "      <td>4117.0</td>\n",
+       "      <td>5160.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>0.204</td>\n",
-       "      <td>0.231</td>\n",
-       "      <td>-0.238</td>\n",
-       "      <td>0.629</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>0.154</td>\n",
+       "      <td>0.198</td>\n",
+       "      <td>-0.219</td>\n",
+       "      <td>0.527</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5325.0</td>\n",
-       "      <td>6359.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>8149.0</td>\n",
+       "      <td>6054.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-0.715</td>\n",
-       "      <td>0.223</td>\n",
-       "      <td>-1.132</td>\n",
-       "      <td>-0.293</td>\n",
+       "      <td>-0.735</td>\n",
+       "      <td>0.229</td>\n",
+       "      <td>-1.161</td>\n",
+       "      <td>-0.295</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6434.0</td>\n",
-       "      <td>5968.0</td>\n",
+       "      <td>6210.0</td>\n",
+       "      <td>5959.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.216</td>\n",
-       "      <td>0.223</td>\n",
-       "      <td>-0.179</td>\n",
-       "      <td>0.653</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>0.210</td>\n",
+       "      <td>0.206</td>\n",
+       "      <td>-0.193</td>\n",
+       "      <td>0.587</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5230.0</td>\n",
-       "      <td>5667.0</td>\n",
+       "      <td>8713.0</td>\n",
+       "      <td>6244.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.253</td>\n",
-       "      <td>0.361</td>\n",
-       "      <td>-0.454</td>\n",
-       "      <td>0.906</td>\n",
+       "      <td>0.256</td>\n",
+       "      <td>0.362</td>\n",
+       "      <td>-0.414</td>\n",
+       "      <td>0.935</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5185.0</td>\n",
-       "      <td>5737.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4542.0</td>\n",
+       "      <td>5912.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.445</td>\n",
-       "      <td>0.212</td>\n",
-       "      <td>-1.848</td>\n",
-       "      <td>-1.052</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>-1.451</td>\n",
+       "      <td>0.202</td>\n",
+       "      <td>-1.830</td>\n",
+       "      <td>-1.074</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7098.0</td>\n",
-       "      <td>5961.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>7838.0</td>\n",
+       "      <td>6009.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.520</td>\n",
-       "      <td>0.203</td>\n",
-       "      <td>-0.896</td>\n",
-       "      <td>-0.141</td>\n",
+       "      <td>-0.529</td>\n",
+       "      <td>0.202</td>\n",
+       "      <td>-0.903</td>\n",
+       "      <td>-0.149</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7661.0</td>\n",
-       "      <td>6305.0</td>\n",
+       "      <td>8360.0</td>\n",
+       "      <td>5509.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.088</td>\n",
-       "      <td>0.204</td>\n",
-       "      <td>-0.475</td>\n",
-       "      <td>0.291</td>\n",
+       "      <td>-0.107</td>\n",
+       "      <td>0.196</td>\n",
+       "      <td>-0.472</td>\n",
+       "      <td>0.271</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8778.0</td>\n",
-       "      <td>6252.0</td>\n",
+       "      <td>8146.0</td>\n",
+       "      <td>5854.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.374</td>\n",
-       "      <td>0.239</td>\n",
-       "      <td>-0.081</td>\n",
-       "      <td>0.815</td>\n",
+       "      <td>0.372</td>\n",
+       "      <td>0.243</td>\n",
+       "      <td>-0.067</td>\n",
+       "      <td>0.826</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4911.0</td>\n",
-       "      <td>5889.0</td>\n",
+       "      <td>5907.0</td>\n",
+       "      <td>6390.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.355</td>\n",
+       "      <td>0.361</td>\n",
        "      <td>0.257</td>\n",
-       "      <td>-0.137</td>\n",
-       "      <td>0.821</td>\n",
+       "      <td>-0.120</td>\n",
+       "      <td>0.846</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>4272.0</td>\n",
-       "      <td>5479.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5246.0</td>\n",
+       "      <td>5683.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.352</td>\n",
-       "      <td>0.222</td>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>0.792</td>\n",
+       "      <td>0.365</td>\n",
+       "      <td>0.213</td>\n",
+       "      <td>-0.025</td>\n",
+       "      <td>0.772</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5927.0</td>\n",
-       "      <td>5720.0</td>\n",
+       "      <td>6781.0</td>\n",
+       "      <td>5920.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.006</td>\n",
-       "      <td>0.228</td>\n",
-       "      <td>-0.428</td>\n",
-       "      <td>0.420</td>\n",
+       "      <td>-0.022</td>\n",
+       "      <td>0.229</td>\n",
+       "      <td>-0.446</td>\n",
+       "      <td>0.412</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5599.0</td>\n",
-       "      <td>6151.0</td>\n",
+       "      <td>6439.0</td>\n",
+       "      <td>5930.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.156</td>\n",
+       "      <td>0.182</td>\n",
        "      <td>0.258</td>\n",
-       "      <td>-0.310</td>\n",
-       "      <td>0.652</td>\n",
+       "      <td>-0.315</td>\n",
+       "      <td>0.659</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5842.0</td>\n",
-       "      <td>6130.0</td>\n",
+       "      <td>5561.0</td>\n",
+       "      <td>5746.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.201</td>\n",
-       "      <td>0.275</td>\n",
-       "      <td>-0.340</td>\n",
-       "      <td>0.694</td>\n",
+       "      <td>0.204</td>\n",
+       "      <td>0.261</td>\n",
+       "      <td>-0.292</td>\n",
+       "      <td>0.678</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4917.0</td>\n",
-       "      <td>5922.0</td>\n",
+       "      <td>5133.0</td>\n",
+       "      <td>5650.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.807</td>\n",
-       "      <td>0.403</td>\n",
-       "      <td>2.063</td>\n",
-       "      <td>3.560</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>9146.0</td>\n",
-       "      <td>6155.0</td>\n",
+       "      <td>2.752</td>\n",
+       "      <td>0.468</td>\n",
+       "      <td>1.901</td>\n",
+       "      <td>3.647</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>8212.0</td>\n",
+       "      <td>6467.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -5563,43 +6228,43 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]      -0.005  0.974  -1.860    1.802      0.014    0.010   \n",
-       "beta_[age]            -1.981  0.361  -2.644   -1.297      0.005    0.004   \n",
-       "beta_[race]            0.204  0.231  -0.238    0.629      0.003    0.002   \n",
-       "beta_[sex]            -0.715  0.223  -1.132   -0.293      0.003    0.002   \n",
-       "beta_[smokeintensity]  0.216  0.223  -0.179    0.653      0.003    0.002   \n",
-       "beta_[smokeyrs]        0.253  0.361  -0.454    0.906      0.005    0.004   \n",
-       "beta_[wt71]           -1.445  0.212  -1.848   -1.052      0.003    0.002   \n",
-       "beta_[active_1]       -0.520  0.203  -0.896   -0.141      0.002    0.002   \n",
-       "beta_[active_2]       -0.088  0.204  -0.475    0.291      0.002    0.002   \n",
-       "beta_[education_2]     0.374  0.239  -0.081    0.815      0.003    0.002   \n",
-       "beta_[education_3]     0.355  0.257  -0.137    0.821      0.004    0.002   \n",
-       "beta_[education_4]     0.352  0.222  -0.047    0.792      0.003    0.002   \n",
-       "beta_[education_5]    -0.006  0.228  -0.428    0.420      0.003    0.002   \n",
-       "beta_[exercise_1]      0.156  0.258  -0.310    0.652      0.003    0.003   \n",
-       "beta_[exercise_2]      0.201  0.275  -0.340    0.694      0.004    0.003   \n",
-       "beta_[trt]             2.807  0.403   2.063    3.560      0.004    0.004   \n",
+       "beta_[Intercept]      -0.003  1.015  -1.909    1.844      0.016    0.011   \n",
+       "beta_[age]            -1.975  0.375  -2.639   -1.235      0.006    0.004   \n",
+       "beta_[race]            0.154  0.198  -0.219    0.527      0.002    0.002   \n",
+       "beta_[sex]            -0.735  0.229  -1.161   -0.295      0.003    0.002   \n",
+       "beta_[smokeintensity]  0.210  0.206  -0.193    0.587      0.002    0.002   \n",
+       "beta_[smokeyrs]        0.256  0.362  -0.414    0.935      0.005    0.003   \n",
+       "beta_[wt71]           -1.451  0.202  -1.830   -1.074      0.002    0.002   \n",
+       "beta_[active_1]       -0.529  0.202  -0.903   -0.149      0.002    0.002   \n",
+       "beta_[active_2]       -0.107  0.196  -0.472    0.271      0.002    0.002   \n",
+       "beta_[education_2]     0.372  0.243  -0.067    0.826      0.003    0.002   \n",
+       "beta_[education_3]     0.361  0.257  -0.120    0.846      0.004    0.003   \n",
+       "beta_[education_4]     0.365  0.213  -0.025    0.772      0.003    0.002   \n",
+       "beta_[education_5]    -0.022  0.229  -0.446    0.412      0.003    0.002   \n",
+       "beta_[exercise_1]      0.182  0.258  -0.315    0.659      0.003    0.003   \n",
+       "beta_[exercise_2]      0.204  0.261  -0.292    0.678      0.004    0.003   \n",
+       "beta_[trt]             2.752  0.468   1.901    3.647      0.005    0.005   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]         4793.0    5241.0    1.0  \n",
-       "beta_[age]               5097.0    5640.0    1.0  \n",
-       "beta_[race]              5325.0    6359.0    1.0  \n",
-       "beta_[sex]               6434.0    5968.0    1.0  \n",
-       "beta_[smokeintensity]    5230.0    5667.0    1.0  \n",
-       "beta_[smokeyrs]          5185.0    5737.0    1.0  \n",
-       "beta_[wt71]              7098.0    5961.0    1.0  \n",
-       "beta_[active_1]          7661.0    6305.0    1.0  \n",
-       "beta_[active_2]          8778.0    6252.0    1.0  \n",
-       "beta_[education_2]       4911.0    5889.0    1.0  \n",
-       "beta_[education_3]       4272.0    5479.0    1.0  \n",
-       "beta_[education_4]       5927.0    5720.0    1.0  \n",
-       "beta_[education_5]       5599.0    6151.0    1.0  \n",
-       "beta_[exercise_1]        5842.0    6130.0    1.0  \n",
-       "beta_[exercise_2]        4917.0    5922.0    1.0  \n",
-       "beta_[trt]               9146.0    6155.0    1.0  "
+       "beta_[Intercept]         3946.0    4602.0    1.0  \n",
+       "beta_[age]               4117.0    5160.0    1.0  \n",
+       "beta_[race]              8149.0    6054.0    1.0  \n",
+       "beta_[sex]               6210.0    5959.0    1.0  \n",
+       "beta_[smokeintensity]    8713.0    6244.0    1.0  \n",
+       "beta_[smokeyrs]          4542.0    5912.0    1.0  \n",
+       "beta_[wt71]              7838.0    6009.0    1.0  \n",
+       "beta_[active_1]          8360.0    5509.0    1.0  \n",
+       "beta_[active_2]          8146.0    5854.0    1.0  \n",
+       "beta_[education_2]       5907.0    6390.0    1.0  \n",
+       "beta_[education_3]       5246.0    5683.0    1.0  \n",
+       "beta_[education_4]       6781.0    5920.0    1.0  \n",
+       "beta_[education_5]       6439.0    5930.0    1.0  \n",
+       "beta_[exercise_1]        5561.0    5746.0    1.0  \n",
+       "beta_[exercise_2]        5133.0    5650.0    1.0  \n",
+       "beta_[trt]               8212.0    6467.0    1.0  "
       ]
      },
-     "execution_count": 80,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5609,220 +6274,18 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<table class=\"simpletable\">\n",
-       "<caption>OLS Regression Results</caption>\n",
-       "<tr>\n",
-       "  <th>Dep. Variable:</th>         <td>outcome</td>     <th>  R-squared:         </th> <td>   0.124</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.115</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   14.61</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Date:</th>             <td>Thu, 10 Jul 2025</td> <th>  Prob (F-statistic):</th> <td>1.41e-35</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Time:</th>                 <td>11:58:05</td>     <th>  Log-Likelihood:    </th> <td> -5350.7</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>No. Observations:</th>      <td>  1566</td>      <th>  AIC:               </th> <td>1.073e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Residuals:</th>          <td>  1550</td>      <th>  BIC:               </th> <td>1.082e+04</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Df Model:</th>              <td>    15</td>      <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "         <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Intercept</th>      <td>   16.0903</td> <td>    1.508</td> <td>   10.673</td> <td> 0.000</td> <td>   13.133</td> <td>   19.047</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>trt</th>            <td>    3.3812</td> <td>    0.441</td> <td>    7.665</td> <td> 0.000</td> <td>    2.516</td> <td>    4.246</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>age</th>            <td>   -0.2006</td> <td>    0.033</td> <td>   -6.080</td> <td> 0.000</td> <td>   -0.265</td> <td>   -0.136</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>race</th>           <td>    0.6274</td> <td>    0.587</td> <td>    1.069</td> <td> 0.285</td> <td>   -0.524</td> <td>    1.779</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>sex</th>            <td>   -1.4293</td> <td>    0.456</td> <td>   -3.131</td> <td> 0.002</td> <td>   -2.325</td> <td>   -0.534</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>smokeintensity</th> <td>    0.0207</td> <td>    0.017</td> <td>    1.213</td> <td> 0.225</td> <td>   -0.013</td> <td>    0.054</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>smokeyrs</th>       <td>    0.0516</td> <td>    0.034</td> <td>    1.539</td> <td> 0.124</td> <td>   -0.014</td> <td>    0.117</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>wt71</th>           <td>   -0.0998</td> <td>    0.014</td> <td>   -7.304</td> <td> 0.000</td> <td>   -0.127</td> <td>   -0.073</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>active_1</th>       <td>   -1.1147</td> <td>    0.414</td> <td>   -2.694</td> <td> 0.007</td> <td>   -1.927</td> <td>   -0.303</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>active_2</th>       <td>   -0.4303</td> <td>    0.692</td> <td>   -0.622</td> <td> 0.534</td> <td>   -1.788</td> <td>    0.928</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>education_2</th>    <td>    1.0292</td> <td>    0.612</td> <td>    1.681</td> <td> 0.093</td> <td>   -0.172</td> <td>    2.230</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>education_3</th>    <td>    0.8242</td> <td>    0.561</td> <td>    1.470</td> <td> 0.142</td> <td>   -0.276</td> <td>    1.924</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>education_4</th>    <td>    1.4563</td> <td>    0.841</td> <td>    1.733</td> <td> 0.083</td> <td>   -0.192</td> <td>    3.105</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>education_5</th>    <td>   -0.0405</td> <td>    0.750</td> <td>   -0.054</td> <td> 0.957</td> <td>   -1.511</td> <td>    1.430</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>exercise_1</th>     <td>    0.3839</td> <td>    0.541</td> <td>    0.710</td> <td> 0.478</td> <td>   -0.677</td> <td>    1.445</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>exercise_2</th>     <td>    0.4749</td> <td>    0.564</td> <td>    0.841</td> <td> 0.400</td> <td>   -0.632</td> <td>    1.582</td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "<table class=\"simpletable\">\n",
-       "<tr>\n",
-       "  <th>Omnibus:</th>       <td>200.616</td> <th>  Durbin-Watson:     </th> <td>   2.012</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>1025.738</td> \n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Skew:</th>          <td> 0.485</td>  <th>  Prob(JB):          </th> <td>1.84e-223</td>\n",
-       "</tr>\n",
-       "<tr>\n",
-       "  <th>Kurtosis:</th>      <td> 6.844</td>  <th>  Cond. No.          </th> <td>    769.</td> \n",
-       "</tr>\n",
-       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
-      ],
-      "text/latex": [
-       "\\begin{center}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\toprule\n",
-       "\\textbf{Dep. Variable:}    &     outcome      & \\textbf{  R-squared:         } &     0.124   \\\\\n",
-       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.115   \\\\\n",
-       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     14.61   \\\\\n",
-       "\\textbf{Date:}             & Thu, 10 Jul 2025 & \\textbf{  Prob (F-statistic):} &  1.41e-35   \\\\\n",
-       "\\textbf{Time:}             &     11:58:05     & \\textbf{  Log-Likelihood:    } &   -5350.7   \\\\\n",
-       "\\textbf{No. Observations:} &        1566      & \\textbf{  AIC:               } & 1.073e+04   \\\\\n",
-       "\\textbf{Df Residuals:}     &        1550      & \\textbf{  BIC:               } & 1.082e+04   \\\\\n",
-       "\\textbf{Df Model:}         &          15      & \\textbf{                     } &             \\\\\n",
-       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lcccccc}\n",
-       "                        & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
-       "\\midrule\n",
-       "\\textbf{Intercept}      &      16.0903  &        1.508     &    10.673  &         0.000        &       13.133    &       19.047     \\\\\n",
-       "\\textbf{trt}            &       3.3812  &        0.441     &     7.665  &         0.000        &        2.516    &        4.246     \\\\\n",
-       "\\textbf{age}            &      -0.2006  &        0.033     &    -6.080  &         0.000        &       -0.265    &       -0.136     \\\\\n",
-       "\\textbf{race}           &       0.6274  &        0.587     &     1.069  &         0.285        &       -0.524    &        1.779     \\\\\n",
-       "\\textbf{sex}            &      -1.4293  &        0.456     &    -3.131  &         0.002        &       -2.325    &       -0.534     \\\\\n",
-       "\\textbf{smokeintensity} &       0.0207  &        0.017     &     1.213  &         0.225        &       -0.013    &        0.054     \\\\\n",
-       "\\textbf{smokeyrs}       &       0.0516  &        0.034     &     1.539  &         0.124        &       -0.014    &        0.117     \\\\\n",
-       "\\textbf{wt71}           &      -0.0998  &        0.014     &    -7.304  &         0.000        &       -0.127    &       -0.073     \\\\\n",
-       "\\textbf{active\\_1}      &      -1.1147  &        0.414     &    -2.694  &         0.007        &       -1.927    &       -0.303     \\\\\n",
-       "\\textbf{active\\_2}      &      -0.4303  &        0.692     &    -0.622  &         0.534        &       -1.788    &        0.928     \\\\\n",
-       "\\textbf{education\\_2}   &       1.0292  &        0.612     &     1.681  &         0.093        &       -0.172    &        2.230     \\\\\n",
-       "\\textbf{education\\_3}   &       0.8242  &        0.561     &     1.470  &         0.142        &       -0.276    &        1.924     \\\\\n",
-       "\\textbf{education\\_4}   &       1.4563  &        0.841     &     1.733  &         0.083        &       -0.192    &        3.105     \\\\\n",
-       "\\textbf{education\\_5}   &      -0.0405  &        0.750     &    -0.054  &         0.957        &       -1.511    &        1.430     \\\\\n",
-       "\\textbf{exercise\\_1}    &       0.3839  &        0.541     &     0.710  &         0.478        &       -0.677    &        1.445     \\\\\n",
-       "\\textbf{exercise\\_2}    &       0.4749  &        0.564     &     0.841  &         0.400        &       -0.632    &        1.582     \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "\\begin{tabular}{lclc}\n",
-       "\\textbf{Omnibus:}       & 200.616 & \\textbf{  Durbin-Watson:     } &     2.012  \\\\\n",
-       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &  1025.738  \\\\\n",
-       "\\textbf{Skew:}          &   0.485 & \\textbf{  Prob(JB):          } & 1.84e-223  \\\\\n",
-       "\\textbf{Kurtosis:}      &   6.844 & \\textbf{  Cond. No.          } &      769.  \\\\\n",
-       "\\bottomrule\n",
-       "\\end{tabular}\n",
-       "%\\caption{OLS Regression Results}\n",
-       "\\end{center}\n",
-       "\n",
-       "Notes: \\newline\n",
-       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
-      ],
-      "text/plain": [
-       "<class 'statsmodels.iolib.summary.Summary'>\n",
-       "\"\"\"\n",
-       "                            OLS Regression Results                            \n",
-       "==============================================================================\n",
-       "Dep. Variable:                outcome   R-squared:                       0.124\n",
-       "Model:                            OLS   Adj. R-squared:                  0.115\n",
-       "Method:                 Least Squares   F-statistic:                     14.61\n",
-       "Date:                Thu, 10 Jul 2025   Prob (F-statistic):           1.41e-35\n",
-       "Time:                        11:58:05   Log-Likelihood:                -5350.7\n",
-       "No. Observations:                1566   AIC:                         1.073e+04\n",
-       "Df Residuals:                    1550   BIC:                         1.082e+04\n",
-       "Df Model:                          15                                         \n",
-       "Covariance Type:            nonrobust                                         \n",
-       "==================================================================================\n",
-       "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
-       "----------------------------------------------------------------------------------\n",
-       "Intercept         16.0903      1.508     10.673      0.000      13.133      19.047\n",
-       "trt                3.3812      0.441      7.665      0.000       2.516       4.246\n",
-       "age               -0.2006      0.033     -6.080      0.000      -0.265      -0.136\n",
-       "race               0.6274      0.587      1.069      0.285      -0.524       1.779\n",
-       "sex               -1.4293      0.456     -3.131      0.002      -2.325      -0.534\n",
-       "smokeintensity     0.0207      0.017      1.213      0.225      -0.013       0.054\n",
-       "smokeyrs           0.0516      0.034      1.539      0.124      -0.014       0.117\n",
-       "wt71              -0.0998      0.014     -7.304      0.000      -0.127      -0.073\n",
-       "active_1          -1.1147      0.414     -2.694      0.007      -1.927      -0.303\n",
-       "active_2          -0.4303      0.692     -0.622      0.534      -1.788       0.928\n",
-       "education_2        1.0292      0.612      1.681      0.093      -0.172       2.230\n",
-       "education_3        0.8242      0.561      1.470      0.142      -0.276       1.924\n",
-       "education_4        1.4563      0.841      1.733      0.083      -0.192       3.105\n",
-       "education_5       -0.0405      0.750     -0.054      0.957      -1.511       1.430\n",
-       "exercise_1         0.3839      0.541      0.710      0.478      -0.677       1.445\n",
-       "exercise_2         0.4749      0.564      0.841      0.400      -0.632       1.582\n",
-       "==============================================================================\n",
-       "Omnibus:                      200.616   Durbin-Watson:                   2.012\n",
-       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1025.738\n",
-       "Skew:                           0.485   Prob(JB):                    1.84e-223\n",
-       "Kurtosis:                       6.844   Cond. No.                         769.\n",
-       "==============================================================================\n",
-       "\n",
-       "Notes:\n",
-       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
-       "\"\"\""
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
    "source": [
-    "from statsmodels.formula import api as smf\n",
+    "## Conclusion: It' the Model Stupid!\n",
     "\n",
-    "formula = \"\"\"outcome ~ 1 + trt + age + race + sex + smokeintensity + smokeyrs + wt71 + active_1 + active_2 + \n",
-    "         education_2 + education_3 + education_4 + education_5 + exercise_1 + exercise_2\"\"\"\n",
     "\n",
     "\n",
-    "res = smf.ols(formula, df).fit()\n",
     "\n",
-    "res.summary()"
+    "## References\n",
+    ":::{bibliography}\n",
+    ":filter: docname in docnames\n",
+    ":::"
    ]
   }
  ],

From 8ab06ac884dcb9a89728c749fecbc70b363a3b3e Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Fri, 11 Jul 2025 07:48:47 +0100
Subject: [PATCH 12/31] adding plots of prop score distributions

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 1791 ++++++++++++++-----
 1 file changed, 1329 insertions(+), 462 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 44619cd7..f571417e 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10,6 +10,7 @@
     "import numpy as np\n",
     "import pandas as pd\n",
     "import pymc as pm\n",
+    "from matplotlib import pyplot as plt\n",
     "from patsy import dmatrix\n",
     "\n",
     "import causalpy as cp\n",
@@ -1088,7 +1089,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [
     {
@@ -1117,10 +1118,6 @@
        "      <th>sd</th>\n",
        "      <th>hdi_3%</th>\n",
        "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
        "      <th>r_hat</th>\n",
        "    </tr>\n",
        "  </thead>\n",
@@ -1132,10 +1129,6 @@
        "      <td>0.025</td>\n",
        "      <td>-0.068</td>\n",
        "      <td>0.025</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>5020.0</td>\n",
-       "      <td>5717.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1144,10 +1137,6 @@
        "      <td>0.135</td>\n",
        "      <td>2.263</td>\n",
        "      <td>2.772</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>4231.0</td>\n",
-       "      <td>4610.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1156,10 +1145,6 @@
        "      <td>0.071</td>\n",
        "      <td>1.125</td>\n",
        "      <td>1.388</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>4655.0</td>\n",
-       "      <td>4823.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1168,10 +1153,6 @@
        "      <td>0.311</td>\n",
        "      <td>-15.905</td>\n",
        "      <td>-14.732</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>3236.0</td>\n",
-       "      <td>3978.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1180,10 +1161,6 @@
        "      <td>0.243</td>\n",
        "      <td>-0.883</td>\n",
        "      <td>0.037</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>4225.0</td>\n",
-       "      <td>4430.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1192,10 +1169,6 @@
        "      <td>0.158</td>\n",
        "      <td>8.181</td>\n",
        "      <td>8.773</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>3416.0</td>\n",
-       "      <td>4224.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1205,10 +1178,6 @@
        "      <td>0.264</td>\n",
        "      <td>1.244</td>\n",
        "      <td>2.244</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5099.0</td>\n",
-       "      <td>5160.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1217,10 +1186,6 @@
        "      <td>0.040</td>\n",
        "      <td>1.143</td>\n",
        "      <td>1.294</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>7245.0</td>\n",
-       "      <td>5765.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1229,10 +1194,6 @@
        "      <td>0.061</td>\n",
        "      <td>3.097</td>\n",
        "      <td>3.327</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>6023.0</td>\n",
-       "      <td>5902.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1240,30 +1201,19 @@
        "</div>"
       ],
       "text/plain": [
-       "                               mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt      -0.021  0.025  -0.068    0.025      0.000   \n",
-       "              beta_[trt]      2.521  0.135   2.263    2.772      0.002   \n",
-       "              beta_[x1]       1.257  0.071   1.125    1.388      0.001   \n",
-       "              beta_ps[0]    -15.290  0.311 -15.905  -14.732      0.005   \n",
-       "              beta_ps[1]     -0.428  0.243  -0.883    0.037      0.004   \n",
-       "              alpha_outcome   8.468  0.158   8.181    8.773      0.003   \n",
-       "2-stage-model beta_[trt]      1.739  0.264   1.244    2.244      0.004   \n",
-       "              beta_[x1]       1.218  0.040   1.143    1.294      0.000   \n",
-       "              alpha_outcome   3.206  0.061   3.097    3.327      0.001   \n",
-       "\n",
-       "                             mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt        0.000    5020.0    5717.0    1.0  \n",
-       "              beta_[trt]       0.002    4231.0    4610.0    1.0  \n",
-       "              beta_[x1]        0.001    4655.0    4823.0    1.0  \n",
-       "              beta_ps[0]       0.004    3236.0    3978.0    1.0  \n",
-       "              beta_ps[1]       0.003    4225.0    4430.0    1.0  \n",
-       "              alpha_outcome    0.002    3416.0    4224.0    1.0  \n",
-       "2-stage-model beta_[trt]       0.003    5099.0    5160.0    1.0  \n",
-       "              beta_[x1]        0.000    7245.0    5765.0    1.0  \n",
-       "              alpha_outcome    0.001    6023.0    5902.0    1.0  "
+       "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
+       "1-stage-model alpha_trt      -0.021  0.025  -0.068    0.025    1.0\n",
+       "              beta_[trt]      2.521  0.135   2.263    2.772    1.0\n",
+       "              beta_[x1]       1.257  0.071   1.125    1.388    1.0\n",
+       "              beta_ps[0]    -15.290  0.311 -15.905  -14.732    1.0\n",
+       "              beta_ps[1]     -0.428  0.243  -0.883    0.037    1.0\n",
+       "              alpha_outcome   8.468  0.158   8.181    8.773    1.0\n",
+       "2-stage-model beta_[trt]      1.739  0.264   1.244    2.244    1.0\n",
+       "              beta_[x1]       1.218  0.040   1.143    1.294    1.0\n",
+       "              alpha_outcome   3.206  0.061   3.097    3.327    1.0"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 65,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1279,7 +1229,7 @@
     "        ),\n",
     "    }\n",
     ")\n",
-    "compare_estimate"
+    "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
    ]
   },
   {
@@ -3772,7 +3722,64 @@
   {
    "cell_type": "markdown",
    "metadata": {},
-   "source": []
+   "source": [
+    "### Comparing Propensity Score Skew\n",
+    "\n",
+    "We have seen how the treatment effect reported by both models differ and that the joint model exhibits a bias away from the true treatment effect. But we might want to see how this bias manifests in the propensity score distribution. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def compare_prop_dists(idata_2s, idata_1s):\n",
+    "    fig, ax = plt.subplots(figsize=(10, 4))\n",
+    "    for i in range(100):\n",
+    "        s2 = idata_2s[\"posterior\"].stack(z=(\"chain\", \"draw\"))[\"p\"][:, i]\n",
+    "        s1 = idata_1s[\"posterior\"].stack(z=(\"chain\", \"draw\"))[\"p\"][:, i]\n",
+    "        if i == 0:\n",
+    "            ax.hist(\n",
+    "                s2, alpha=0.1, color=\"red\", label=\"Propensity Scores 2-stage Estimation\"\n",
+    "            )\n",
+    "            # Pivoted to compare shape\n",
+    "            ax.hist(\n",
+    "                1 - s1,\n",
+    "                alpha=0.1,\n",
+    "                color=\"blue\",\n",
+    "                label=\"Propensity Scores 1-stage Estimation\",\n",
+    "            )\n",
+    "        else:\n",
+    "            ax.hist(s2, alpha=0.01, color=\"red\")\n",
+    "            # Pivoted to compare shape\n",
+    "            ax.hist(1 - s1, alpha=0.01, color=\"blue\")\n",
+    "    ax.legend()\n",
+    "    ax.set_title(\n",
+    "        \"Comparing Propensity Distributions \\n Two-stage and Joint Estimation routines\"\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "compare_prop_dists(idata_treatment_2s_joint, idata_joint)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "These are radically different models due to the feedback mechanism. How does this phenomena play out in some real world examples?"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -4038,7 +4045,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -4055,7 +4062,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "44f64f9b3d3340e1a865108dca9a80c1",
+       "model_id": "47ec8490bc384338b1f0ba71801d1535",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4066,14 +4073,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -4100,7 +4099,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "caec09316cf74298b441974cd98a44af",
+       "model_id": "733133ba36ff4e3b95199a2592a8d352",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4135,7 +4134,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d9fbb77bbf78436894692f74ee4c5d91",
+       "model_id": "7d952117285e4de7b6926fc36a5337e8",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4210,12 +4209,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4239,7 +4238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -4279,135 +4278,135 @@
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.259</td>\n",
+       "      <td>-0.258</td>\n",
        "      <td>0.052</td>\n",
-       "      <td>-0.358</td>\n",
-       "      <td>-0.164</td>\n",
+       "      <td>-0.354</td>\n",
+       "      <td>-0.158</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>2743.0</td>\n",
-       "      <td>2641.0</td>\n",
+       "      <td>2688.0</td>\n",
+       "      <td>2630.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.067</td>\n",
-       "      <td>0.459</td>\n",
-       "      <td>-10.922</td>\n",
-       "      <td>-9.210</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>1997.0</td>\n",
-       "      <td>2631.0</td>\n",
+       "      <td>-10.050</td>\n",
+       "      <td>0.450</td>\n",
+       "      <td>-10.866</td>\n",
+       "      <td>-9.216</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>1803.0</td>\n",
+       "      <td>2235.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.140</td>\n",
-       "      <td>0.230</td>\n",
-       "      <td>-10.598</td>\n",
-       "      <td>-9.720</td>\n",
+       "      <td>-10.152</td>\n",
+       "      <td>0.229</td>\n",
+       "      <td>-10.576</td>\n",
+       "      <td>-9.726</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>2052.0</td>\n",
-       "      <td>2438.0</td>\n",
+       "      <td>2044.0</td>\n",
+       "      <td>2778.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-16.334</td>\n",
-       "      <td>0.706</td>\n",
-       "      <td>-17.639</td>\n",
-       "      <td>-15.010</td>\n",
-       "      <td>0.015</td>\n",
+       "      <td>-16.315</td>\n",
+       "      <td>0.683</td>\n",
+       "      <td>-17.624</td>\n",
+       "      <td>-15.062</td>\n",
+       "      <td>0.016</td>\n",
        "      <td>0.010</td>\n",
-       "      <td>2099.0</td>\n",
-       "      <td>2470.0</td>\n",
+       "      <td>1856.0</td>\n",
+       "      <td>2475.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.227</td>\n",
-       "      <td>0.858</td>\n",
-       "      <td>-1.445</td>\n",
-       "      <td>1.758</td>\n",
+       "      <td>0.191</td>\n",
+       "      <td>0.849</td>\n",
+       "      <td>-1.335</td>\n",
+       "      <td>1.841</td>\n",
        "      <td>0.020</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>1856.0</td>\n",
-       "      <td>2765.0</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>1775.0</td>\n",
+       "      <td>2223.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.746</td>\n",
-       "      <td>0.418</td>\n",
-       "      <td>45.953</td>\n",
-       "      <td>47.488</td>\n",
+       "      <td>46.740</td>\n",
+       "      <td>0.410</td>\n",
+       "      <td>46.015</td>\n",
+       "      <td>47.553</td>\n",
        "      <td>0.010</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>1742.0</td>\n",
-       "      <td>2238.0</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>1658.0</td>\n",
+       "      <td>2381.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.769</td>\n",
-       "      <td>0.456</td>\n",
-       "      <td>-10.632</td>\n",
-       "      <td>-8.902</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5962.0</td>\n",
-       "      <td>6149.0</td>\n",
+       "      <td>-9.623</td>\n",
+       "      <td>0.462</td>\n",
+       "      <td>-10.484</td>\n",
+       "      <td>-8.739</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>4704.0</td>\n",
+       "      <td>5379.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.481</td>\n",
-       "      <td>0.191</td>\n",
-       "      <td>-10.824</td>\n",
-       "      <td>-10.110</td>\n",
+       "      <td>-10.298</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>-10.668</td>\n",
+       "      <td>-9.948</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4637.0</td>\n",
-       "      <td>5309.0</td>\n",
+       "      <td>4899.0</td>\n",
+       "      <td>5346.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>42.649</td>\n",
-       "      <td>0.416</td>\n",
-       "      <td>41.863</td>\n",
-       "      <td>43.427</td>\n",
+       "      <td>43.461</td>\n",
+       "      <td>0.429</td>\n",
+       "      <td>42.704</td>\n",
+       "      <td>44.300</td>\n",
        "      <td>0.007</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>3657.0</td>\n",
-       "      <td>4518.0</td>\n",
+       "      <td>3795.0</td>\n",
+       "      <td>4472.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-8.073</td>\n",
-       "      <td>0.954</td>\n",
-       "      <td>-9.883</td>\n",
-       "      <td>-6.319</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>3730.0</td>\n",
-       "      <td>4650.0</td>\n",
+       "      <td>-9.498</td>\n",
+       "      <td>0.927</td>\n",
+       "      <td>-11.274</td>\n",
+       "      <td>-7.800</td>\n",
+       "      <td>0.015</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>3880.0</td>\n",
+       "      <td>4812.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.913</td>\n",
-       "      <td>0.872</td>\n",
-       "      <td>-2.589</td>\n",
-       "      <td>0.700</td>\n",
+       "      <td>-1.202</td>\n",
+       "      <td>0.856</td>\n",
+       "      <td>-2.838</td>\n",
+       "      <td>0.374</td>\n",
        "      <td>0.012</td>\n",
        "      <td>0.009</td>\n",
-       "      <td>5708.0</td>\n",
-       "      <td>6082.0</td>\n",
+       "      <td>4982.0</td>\n",
+       "      <td>5259.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4416,33 +4415,33 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt      -0.259  0.052  -0.358   -0.164      0.001   \n",
-       "              beta_[trt]    -10.067  0.459 -10.922   -9.210      0.010   \n",
-       "              beta_[income] -10.140  0.230 -10.598   -9.720      0.005   \n",
-       "              beta_ps[0]    -16.334  0.706 -17.639  -15.010      0.015   \n",
-       "              beta_ps[1]      0.227  0.858  -1.445    1.758      0.020   \n",
-       "              alpha_outcome  46.746  0.418  45.953   47.488      0.010   \n",
-       "2-stage-model beta_[trt]     -9.769  0.456 -10.632   -8.902      0.006   \n",
-       "              beta_[income] -10.481  0.191 -10.824  -10.110      0.003   \n",
-       "              alpha_outcome  42.649  0.416  41.863   43.427      0.007   \n",
-       "              beta_ps[0]     -8.073  0.954  -9.883   -6.319      0.016   \n",
-       "              beta_ps[1]     -0.913  0.872  -2.589    0.700      0.012   \n",
+       "1-stage-model alpha_trt      -0.258  0.052  -0.354   -0.158      0.001   \n",
+       "              beta_[trt]    -10.050  0.450 -10.866   -9.216      0.011   \n",
+       "              beta_[income] -10.152  0.229 -10.576   -9.726      0.005   \n",
+       "              beta_ps[0]    -16.315  0.683 -17.624  -15.062      0.016   \n",
+       "              beta_ps[1]      0.191  0.849  -1.335    1.841      0.020   \n",
+       "              alpha_outcome  46.740  0.410  46.015   47.553      0.010   \n",
+       "2-stage-model beta_[trt]     -9.623  0.462 -10.484   -8.739      0.007   \n",
+       "              beta_[income] -10.298  0.192 -10.668   -9.948      0.003   \n",
+       "              alpha_outcome  43.461  0.429  42.704   44.300      0.007   \n",
+       "              beta_ps[0]     -9.498  0.927 -11.274   -7.800      0.015   \n",
+       "              beta_ps[1]     -1.202  0.856  -2.838    0.374      0.012   \n",
        "\n",
        "                             mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt        0.001    2743.0    2641.0    1.0  \n",
-       "              beta_[trt]       0.006    1997.0    2631.0    1.0  \n",
-       "              beta_[income]    0.003    2052.0    2438.0    1.0  \n",
-       "              beta_ps[0]       0.010    2099.0    2470.0    1.0  \n",
-       "              beta_ps[1]       0.012    1856.0    2765.0    1.0  \n",
-       "              alpha_outcome    0.007    1742.0    2238.0    1.0  \n",
-       "2-stage-model beta_[trt]       0.004    5962.0    6149.0    1.0  \n",
-       "              beta_[income]    0.002    4637.0    5309.0    1.0  \n",
-       "              alpha_outcome    0.005    3657.0    4518.0    1.0  \n",
-       "              beta_ps[0]       0.011    3730.0    4650.0    1.0  \n",
-       "              beta_ps[1]       0.009    5708.0    6082.0    1.0  "
+       "1-stage-model alpha_trt        0.001    2688.0    2630.0    1.0  \n",
+       "              beta_[trt]       0.007    1803.0    2235.0    1.0  \n",
+       "              beta_[income]    0.003    2044.0    2778.0    1.0  \n",
+       "              beta_ps[0]       0.010    1856.0    2475.0    1.0  \n",
+       "              beta_ps[1]       0.013    1775.0    2223.0    1.0  \n",
+       "              alpha_outcome    0.006    1658.0    2381.0    1.0  \n",
+       "2-stage-model beta_[trt]       0.005    4704.0    5379.0    1.0  \n",
+       "              beta_[income]    0.002    4899.0    5346.0    1.0  \n",
+       "              alpha_outcome    0.005    3795.0    4472.0    1.0  \n",
+       "              beta_ps[0]       0.010    3880.0    4812.0    1.0  \n",
+       "              beta_ps[1]       0.009    4982.0    5259.0    1.0  "
       ]
      },
-     "execution_count": 18,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4458,136 +4457,1104 @@
     "        ),\n",
     "    }\n",
     ")\n",
-    "compare_estimate"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Here again we see broad consistency between both model specifications indicating that the regression adjustment approach in the 2 stage outcome model is appropriate and picks up on all relevant sources of confounding. This is despite the fact that we removed useful predictors `temperature`, `health` from the outcome model specification. The model leans on the information contained in the propensity score and weights the `beta_ps` information appropriately. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## LaLonde Example\n",
-    "\n",
-    "The Lalonde Data set is famous because it highlights a problem with naive causal contrasts. It is discussed by Angrist and Pischke in their _Mostly Harmless Econometrics_ as an example of how regression controls can tolerably address selection effects in a way similar to propensity score weighting. So we should hope the a well specified outcome model can identify the treatment effects plausibly here too. "
+    "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
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-       "      <th>treat</th>\n",
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-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>24909.4500</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>NSW4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>27</td>\n",
-       "      <td>11</td>\n",
-       "      <td>black</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>7506.1460</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>NSW5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>33</td>\n",
-       "      <td>8</td>\n",
-       "      <td>black</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.0</td>\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
+       "array([0.181, 0.25 , 0.311, 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])\n",
+       "Coordinates:\n",
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8883c2e0-a07d-4070-8956-3f486fbe265c' class='xr-array-in' type='checkbox' checked><label for='section-8883c2e0-a07d-4070-8956-3f486fbe265c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.25 0.311 0.37 0.43 0.501 0.572 0.643 0.727</span></div><div class='xr-array-data'><pre>array([0.181, 0.25 , 0.311, 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])</pre></div></div></li><li class='xr-section-item'><input id='section-505ad980-ca40-445e-9fae-e14ce96d6392' class='xr-section-summary-in' type='checkbox'  checked><label for='section-505ad980-ca40-445e-9fae-e14ce96d6392' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-a8d487df-9f10-4996-bf6c-304691857f8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a8d487df-9f10-4996-bf6c-304691857f8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cd7fa82-2e1c-4331-b665-f7e44bbcc52d' class='xr-var-data-in' type='checkbox'><label for='data-1cd7fa82-2e1c-4331-b665-f7e44bbcc52d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-796e1261-730f-45e4-90ec-3b5519b3b6ce' class='xr-section-summary-in' type='checkbox'  ><label for='section-796e1261-730f-45e4-90ec-3b5519b3b6ce' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0ddb3e25-dfe0-4607-a965-09cfe1c926e9' class='xr-index-data-in' type='checkbox'/><label for='index-0ddb3e25-dfe0-4607-a965-09cfe1c926e9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba22c254-8b98-4f5d-8cbd-a5063e64165d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ba22c254-8b98-4f5d-8cbd-a5063e64165d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
+       "array([0.181, 0.25 , 0.311, 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])\n",
+       "Coordinates:\n",
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "idata_net[\"posterior\"][\"p\"].quantile(\n",
+    "    [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n",
+    ").round(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
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+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, white)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       "html[theme=\"dark\"],\n",
+       "html[data-theme=\"dark\"],\n",
+       "body[data-theme=\"dark\"],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: var(\n",
+       "    --jp-content-font-color0,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
+       "  );\n",
+       "  --xr-font-color2: var(\n",
+       "    --jp-content-font-color2,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
+       "  );\n",
+       "  --xr-font-color3: var(\n",
+       "    --jp-content-font-color3,\n",
+       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
+       "  );\n",
+       "  --xr-border-color: var(\n",
+       "    --jp-border-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
+       "  );\n",
+       "  --xr-disabled-color: var(\n",
+       "    --jp-layout-color3,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
+       "  );\n",
+       "  --xr-background-color: var(\n",
+       "    --jp-layout-color0,\n",
+       "    var(--pst-color-on-background, #111111)\n",
+       "  );\n",
+       "  --xr-background-color-row-even: var(\n",
+       "    --jp-layout-color1,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
+       "  );\n",
+       "  --xr-background-color-row-odd: var(\n",
+       "    --jp-layout-color2,\n",
+       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
+       "  );\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: inline-block;\n",
+       "  opacity: 0;\n",
+       "  height: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "  border: 2px solid transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:focus + label {\n",
+       "  border: 2px solid var(--xr-font-color0) !important;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  border-color: var(--xr-background-color-row-odd);\n",
+       "  margin-bottom: 0;\n",
+       "  padding-top: 2px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "  border-color: var(--xr-background-color-row-even);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  border-top: 2px dotted var(--xr-background-color);\n",
+       "  padding-bottom: 20px !important;\n",
+       "  padding-top: 10px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in + label,\n",
+       ".xr-var-data-in + label,\n",
+       ".xr-index-data-in + label {\n",
+       "  padding: 0 1px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > pre,\n",
+       ".xr-index-data > pre,\n",
+       ".xr-var-data > table > tbody > tr {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
+       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
+       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
+       "  color: var(--xr-font-color0);\n",
+       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
+       "  stroke-width: 0.8px;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
+       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
+       "Coordinates:\n",
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-61c3a5dc-9eed-48be-bf63-bbae217c075b' class='xr-array-in' type='checkbox' checked><label for='section-61c3a5dc-9eed-48be-bf63-bbae217c075b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.283 0.317 0.349 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-99863a7e-c574-412f-b801-89d6e2981797' class='xr-section-summary-in' type='checkbox'  checked><label for='section-99863a7e-c574-412f-b801-89d6e2981797' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-50d8028e-cc09-44c3-ba4f-d95a6aaf4bde' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50d8028e-cc09-44c3-ba4f-d95a6aaf4bde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-712f4ae2-823f-4bbc-a882-b25ba7a35687' class='xr-var-data-in' type='checkbox'><label for='data-712f4ae2-823f-4bbc-a882-b25ba7a35687' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-06d3dc24-47cc-4de2-b50a-e515c821b695' class='xr-section-summary-in' type='checkbox'  ><label for='section-06d3dc24-47cc-4de2-b50a-e515c821b695' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9d1a8f7d-7828-4487-b34c-a8aa5713c373' class='xr-index-data-in' type='checkbox'/><label for='index-9d1a8f7d-7828-4487-b34c-a8aa5713c373' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9338c69-889e-448b-9d1c-c4acd5a61862' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f9338c69-889e-448b-9d1c-c4acd5a61862' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
+       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
+       "Coordinates:\n",
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "idata_treatment_2s_net[\"posterior\"][\"p\"].quantile(\n",
+    "    [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n",
+    ").round(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "compare_prop_dists(idata_treatment_2s_net, idata_net)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here we some divergence between the treatment effect estimates indicating that the regression adjustment approach in the 2 stage outcome model is correcting for bias in the joint-distribution. However both credible intervals contain the reported treatment effect of -10 so the skew is perhaps less concerning. This is despite the fact that we removed useful predictors `temperature`, `health` from the outcome model specification. The model leans on the information contained in the propensity score and weights the `beta_ps` information appropriately. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## LaLonde Example\n",
+    "\n",
+    "The Lalonde Data set is famous because it highlights a problem with naive causal contrasts. It is discussed by Angrist and Pischke in their _Mostly Harmless Econometrics_ as an example of how regression controls can tolerably address selection effects in a way similar to propensity score weighting. So we should hope the a well specified outcome model can identify the treatment effects plausibly here too. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rownames</th>\n",
+       "      <th>treat</th>\n",
+       "      <th>age</th>\n",
+       "      <th>educ</th>\n",
+       "      <th>race</th>\n",
+       "      <th>married</th>\n",
+       "      <th>nodegree</th>\n",
+       "      <th>re74</th>\n",
+       "      <th>re75</th>\n",
+       "      <th>re78</th>\n",
+       "      <th>hispan</th>\n",
+       "      <th>white</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NSW1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>37</td>\n",
+       "      <td>11</td>\n",
+       "      <td>black</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>9930.0460</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NSW2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>22</td>\n",
+       "      <td>9</td>\n",
+       "      <td>hispan</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3595.8940</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NSW3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>12</td>\n",
+       "      <td>black</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24909.4500</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>NSW4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>27</td>\n",
+       "      <td>11</td>\n",
+       "      <td>black</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>7506.1460</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NSW5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>33</td>\n",
+       "      <td>8</td>\n",
+       "      <td>black</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>289.7899</td>\n",
        "      <td>False</td>\n",
@@ -4857,7 +5824,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [
     {
@@ -4886,10 +5853,6 @@
        "      <th>sd</th>\n",
        "      <th>hdi_3%</th>\n",
        "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
        "      <th>r_hat</th>\n",
        "    </tr>\n",
        "  </thead>\n",
@@ -4901,10 +5864,6 @@
        "      <td>0.135</td>\n",
        "      <td>-1.597</td>\n",
        "      <td>-1.092</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>4572.0</td>\n",
-       "      <td>2776.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -4913,10 +5872,6 @@
        "      <td>698.918</td>\n",
        "      <td>-367.100</td>\n",
        "      <td>2217.513</td>\n",
-       "      <td>10.850</td>\n",
-       "      <td>9.275</td>\n",
-       "      <td>4157.0</td>\n",
-       "      <td>3037.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -4925,10 +5880,6 @@
        "      <td>25.449</td>\n",
        "      <td>-18.837</td>\n",
        "      <td>77.058</td>\n",
-       "      <td>0.334</td>\n",
-       "      <td>0.421</td>\n",
-       "      <td>5822.0</td>\n",
-       "      <td>3104.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -4937,10 +5888,6 @@
        "      <td>69.657</td>\n",
        "      <td>158.567</td>\n",
        "      <td>421.276</td>\n",
-       "      <td>1.035</td>\n",
-       "      <td>1.075</td>\n",
-       "      <td>4533.0</td>\n",
-       "      <td>3515.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -4949,10 +5896,6 @@
        "      <td>883.750</td>\n",
        "      <td>-19.172</td>\n",
        "      <td>3233.629</td>\n",
-       "      <td>12.677</td>\n",
-       "      <td>12.547</td>\n",
-       "      <td>4869.0</td>\n",
-       "      <td>3095.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -4961,10 +5904,6 @@
        "      <td>682.822</td>\n",
        "      <td>-47.044</td>\n",
        "      <td>2487.428</td>\n",
-       "      <td>10.840</td>\n",
-       "      <td>10.030</td>\n",
-       "      <td>3973.0</td>\n",
-       "      <td>3295.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -4973,10 +5912,6 @@
        "      <td>593.793</td>\n",
        "      <td>997.970</td>\n",
        "      <td>3234.417</td>\n",
-       "      <td>7.317</td>\n",
-       "      <td>9.170</td>\n",
-       "      <td>6555.0</td>\n",
-       "      <td>3248.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -4985,10 +5920,6 @@
        "      <td>524.166</td>\n",
        "      <td>-2078.290</td>\n",
        "      <td>-110.903</td>\n",
-       "      <td>6.655</td>\n",
-       "      <td>9.080</td>\n",
-       "      <td>6221.0</td>\n",
-       "      <td>2867.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -4997,10 +5928,6 @@
        "      <td>0.997</td>\n",
        "      <td>-1.825</td>\n",
        "      <td>2.053</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.020</td>\n",
-       "      <td>7005.0</td>\n",
-       "      <td>2347.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5009,10 +5936,6 @@
        "      <td>0.996</td>\n",
        "      <td>-1.986</td>\n",
        "      <td>1.771</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.020</td>\n",
-       "      <td>7336.0</td>\n",
-       "      <td>2766.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5021,10 +5944,6 @@
        "      <td>479.095</td>\n",
        "      <td>930.011</td>\n",
        "      <td>2728.542</td>\n",
-       "      <td>6.376</td>\n",
-       "      <td>7.498</td>\n",
-       "      <td>5616.0</td>\n",
-       "      <td>2994.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5033,10 +5952,6 @@
        "      <td>148.542</td>\n",
        "      <td>6161.420</td>\n",
        "      <td>6709.245</td>\n",
-       "      <td>1.784</td>\n",
-       "      <td>2.569</td>\n",
-       "      <td>7060.0</td>\n",
-       "      <td>3091.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5046,10 +5961,6 @@
        "      <td>695.150</td>\n",
        "      <td>-390.455</td>\n",
        "      <td>2227.062</td>\n",
-       "      <td>9.542</td>\n",
-       "      <td>7.521</td>\n",
-       "      <td>5309.0</td>\n",
-       "      <td>5872.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5058,10 +5969,6 @@
        "      <td>25.719</td>\n",
        "      <td>-17.570</td>\n",
        "      <td>77.473</td>\n",
-       "      <td>0.332</td>\n",
-       "      <td>0.286</td>\n",
-       "      <td>6032.0</td>\n",
-       "      <td>5517.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5070,10 +5977,6 @@
        "      <td>70.739</td>\n",
        "      <td>152.531</td>\n",
        "      <td>420.041</td>\n",
-       "      <td>0.993</td>\n",
-       "      <td>0.848</td>\n",
-       "      <td>5076.0</td>\n",
-       "      <td>5362.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5082,10 +5985,6 @@
        "      <td>880.940</td>\n",
        "      <td>-69.748</td>\n",
        "      <td>3202.882</td>\n",
-       "      <td>11.429</td>\n",
-       "      <td>9.389</td>\n",
-       "      <td>5938.0</td>\n",
-       "      <td>5211.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5094,10 +5993,6 @@
        "      <td>682.593</td>\n",
        "      <td>3.316</td>\n",
        "      <td>2569.644</td>\n",
-       "      <td>9.461</td>\n",
-       "      <td>7.418</td>\n",
-       "      <td>5213.0</td>\n",
-       "      <td>5582.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5106,10 +6001,6 @@
        "      <td>606.118</td>\n",
        "      <td>939.815</td>\n",
        "      <td>3228.152</td>\n",
-       "      <td>6.936</td>\n",
-       "      <td>6.706</td>\n",
-       "      <td>7661.0</td>\n",
-       "      <td>5838.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5118,10 +6009,6 @@
        "      <td>520.188</td>\n",
        "      <td>-2110.320</td>\n",
        "      <td>-152.275</td>\n",
-       "      <td>6.249</td>\n",
-       "      <td>5.268</td>\n",
-       "      <td>6941.0</td>\n",
-       "      <td>5636.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5130,10 +6017,6 @@
        "      <td>1.003</td>\n",
        "      <td>-1.806</td>\n",
        "      <td>1.917</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>7743.0</td>\n",
-       "      <td>6006.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5142,10 +6025,6 @@
        "      <td>0.980</td>\n",
        "      <td>-1.907</td>\n",
        "      <td>1.781</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>9430.0</td>\n",
-       "      <td>6466.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5154,10 +6033,6 @@
        "      <td>482.733</td>\n",
        "      <td>875.017</td>\n",
        "      <td>2674.645</td>\n",
-       "      <td>5.671</td>\n",
-       "      <td>5.460</td>\n",
-       "      <td>7248.0</td>\n",
-       "      <td>5663.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -5166,10 +6041,6 @@
        "      <td>149.728</td>\n",
        "      <td>6160.962</td>\n",
        "      <td>6721.915</td>\n",
-       "      <td>1.706</td>\n",
-       "      <td>1.675</td>\n",
-       "      <td>7693.0</td>\n",
-       "      <td>5575.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -5177,58 +6048,33 @@
        "</div>"
       ],
       "text/plain": [
-       "                                   mean       sd    hdi_3%   hdi_97%  \\\n",
-       "1-stage-model alpha_trt          -1.337    0.135    -1.597    -1.092   \n",
-       "              beta_[treat]      897.593  698.918  -367.100  2217.513   \n",
-       "              beta_[age]         29.940   25.449   -18.837    77.058   \n",
-       "              beta_[educ]       292.139   69.657   158.567   421.276   \n",
-       "              beta_[hispan]    1593.906  883.750   -19.172  3233.629   \n",
-       "              beta_[white]     1223.780  682.822   -47.044  2487.428   \n",
-       "              beta_[married]   2094.674  593.793   997.970  3234.417   \n",
-       "              beta_[nodegree] -1087.557  524.166 -2078.290  -110.903   \n",
-       "              beta_ps[0]         -0.008    0.997    -1.825     2.053   \n",
-       "              beta_ps[1]         -0.011    0.996    -1.986     1.771   \n",
-       "              alpha_outcome    1793.234  479.095   930.011  2728.542   \n",
-       "              sigma            6436.494  148.542  6161.420  6709.245   \n",
-       "2-stage-model beta_[treat]      921.166  695.150  -390.455  2227.062   \n",
-       "              beta_[age]         30.376   25.719   -17.570    77.473   \n",
-       "              beta_[educ]       290.383   70.739   152.531   420.041   \n",
-       "              beta_[hispan]    1624.045  880.940   -69.748  3202.882   \n",
-       "              beta_[white]     1246.571  682.593     3.316  2569.644   \n",
-       "              beta_[married]   2070.076  606.118   939.815  3228.152   \n",
-       "              beta_[nodegree] -1098.141  520.188 -2110.320  -152.275   \n",
-       "              beta_ps[0]         -0.010    1.003    -1.806     1.917   \n",
-       "              beta_ps[1]          0.014    0.980    -1.907     1.781   \n",
-       "              alpha_outcome    1798.640  482.733   875.017  2674.645   \n",
-       "              sigma            6435.687  149.728  6160.962  6721.915   \n",
-       "\n",
-       "                               mcse_mean  mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt            0.002    0.002    4572.0    2776.0    1.0  \n",
-       "              beta_[treat]        10.850    9.275    4157.0    3037.0    1.0  \n",
-       "              beta_[age]           0.334    0.421    5822.0    3104.0    1.0  \n",
-       "              beta_[educ]          1.035    1.075    4533.0    3515.0    1.0  \n",
-       "              beta_[hispan]       12.677   12.547    4869.0    3095.0    1.0  \n",
-       "              beta_[white]        10.840   10.030    3973.0    3295.0    1.0  \n",
-       "              beta_[married]       7.317    9.170    6555.0    3248.0    1.0  \n",
-       "              beta_[nodegree]      6.655    9.080    6221.0    2867.0    1.0  \n",
-       "              beta_ps[0]           0.012    0.020    7005.0    2347.0    1.0  \n",
-       "              beta_ps[1]           0.012    0.020    7336.0    2766.0    1.0  \n",
-       "              alpha_outcome        6.376    7.498    5616.0    2994.0    1.0  \n",
-       "              sigma                1.784    2.569    7060.0    3091.0    1.0  \n",
-       "2-stage-model beta_[treat]         9.542    7.521    5309.0    5872.0    1.0  \n",
-       "              beta_[age]           0.332    0.286    6032.0    5517.0    1.0  \n",
-       "              beta_[educ]          0.993    0.848    5076.0    5362.0    1.0  \n",
-       "              beta_[hispan]       11.429    9.389    5938.0    5211.0    1.0  \n",
-       "              beta_[white]         9.461    7.418    5213.0    5582.0    1.0  \n",
-       "              beta_[married]       6.936    6.706    7661.0    5838.0    1.0  \n",
-       "              beta_[nodegree]      6.249    5.268    6941.0    5636.0    1.0  \n",
-       "              beta_ps[0]           0.011    0.011    7743.0    6006.0    1.0  \n",
-       "              beta_ps[1]           0.010    0.011    9430.0    6466.0    1.0  \n",
-       "              alpha_outcome        5.671    5.460    7248.0    5663.0    1.0  \n",
-       "              sigma                1.706    1.675    7693.0    5575.0    1.0  "
+       "                                   mean       sd    hdi_3%   hdi_97%  r_hat\n",
+       "1-stage-model alpha_trt          -1.337    0.135    -1.597    -1.092    1.0\n",
+       "              beta_[treat]      897.593  698.918  -367.100  2217.513    1.0\n",
+       "              beta_[age]         29.940   25.449   -18.837    77.058    1.0\n",
+       "              beta_[educ]       292.139   69.657   158.567   421.276    1.0\n",
+       "              beta_[hispan]    1593.906  883.750   -19.172  3233.629    1.0\n",
+       "              beta_[white]     1223.780  682.822   -47.044  2487.428    1.0\n",
+       "              beta_[married]   2094.674  593.793   997.970  3234.417    1.0\n",
+       "              beta_[nodegree] -1087.557  524.166 -2078.290  -110.903    1.0\n",
+       "              beta_ps[0]         -0.008    0.997    -1.825     2.053    1.0\n",
+       "              beta_ps[1]         -0.011    0.996    -1.986     1.771    1.0\n",
+       "              alpha_outcome    1793.234  479.095   930.011  2728.542    1.0\n",
+       "              sigma            6436.494  148.542  6161.420  6709.245    1.0\n",
+       "2-stage-model beta_[treat]      921.166  695.150  -390.455  2227.062    1.0\n",
+       "              beta_[age]         30.376   25.719   -17.570    77.473    1.0\n",
+       "              beta_[educ]       290.383   70.739   152.531   420.041    1.0\n",
+       "              beta_[hispan]    1624.045  880.940   -69.748  3202.882    1.0\n",
+       "              beta_[white]     1246.571  682.593     3.316  2569.644    1.0\n",
+       "              beta_[married]   2070.076  606.118   939.815  3228.152    1.0\n",
+       "              beta_[nodegree] -1098.141  520.188 -2110.320  -152.275    1.0\n",
+       "              beta_ps[0]         -0.010    1.003    -1.806     1.917    1.0\n",
+       "              beta_ps[1]          0.014    0.980    -1.907     1.781    1.0\n",
+       "              alpha_outcome    1798.640  482.733   875.017  2674.645    1.0\n",
+       "              sigma            6435.687  149.728  6160.962  6721.915    1.0"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5246,7 +6092,34 @@
     "        ),\n",
     "    }\n",
     ")\n",
-    "compare_estimate"
+    "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The model estimates are basically identical. We should expect mirrored propensity score distributions indicating that feedback wasn't an issue. The outcome model leaned primarily on the covariate profile $X$ to derive the treatment effect estimate. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "compare_prop_dists(idata_treatment_2s_lalonde, idata_lalonde)"
    ]
   },
   {
@@ -5838,24 +6711,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
-       "<matplotlib.lines.Line2D at 0x2be290e10>"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 720x480 with 1 Axes>"
+       "<Figure size 1000x400 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -5863,10 +6726,7 @@
     }
    ],
    "source": [
-    "ax = az.plot_posterior(\n",
-    "    idata_outcome_2s_nhefs, var_names=[\"beta_\"], coords={\"betas\": [\"trt\"]}\n",
-    ")\n",
-    "ax.axvline(3.4, color=\"k\")"
+    "compare_prop_dists(idata_treatment_2s_nhefs, idata_nhefs)"
    ]
   },
   {
@@ -5932,6 +6792,13 @@
     "result"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Comparing Inverse Propensity Score Weighting and Covariate Adjustment"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 33,

From d2035f86f73f9ff28bf7f6c9b455fbadbf8a1c2f Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Fri, 11 Jul 2025 23:04:41 +0100
Subject: [PATCH 13/31] adding some tests and a conclusion

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/pymc_models.py                       | 64 ++++++++++++++++++-
 .../tests/test_integration_pymc_examples.py   | 25 ++++++++
 docs/source/_static/interrogate_badge.svg     |  6 +-
 3 files changed, 91 insertions(+), 4 deletions(-)

diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index 3122e7a1..543a14e7 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -527,6 +527,69 @@ def fit_outcome_model(
         normal_outcome=True,
         spline_component=False,
     ):
+        """
+        Fit a Bayesian outcome model using covariates and previously estimated propensity scores.
+
+        This function implements the second stage of a modular two-step causal inference procedure.
+        It uses propensity scores extracted from a prior treatment model (via `self.fit()`) to adjust
+        for confounding when estimating treatment effects on an outcome variable `y`.
+
+        Parameters
+        ----------
+        X_outcome : array-like, shape (n_samples, n_covariates)
+            Covariate matrix for the outcome model.
+
+        y : array-like, shape (n_samples,)
+            Observed outcome variable.
+
+        coords : dict
+            Coordinate dictionary for named dimensions in the PyMC model. Should include
+            a key "outcome_coeffs" for `X_outcome`.
+
+        priors : dict, optional
+            Dictionary specifying priors for outcome model parameters:
+                - "b_outcome": list [mean, std] for regression coefficients.
+                - "a_outcome": list [mean, std] for the intercept.
+                - "sigma": standard deviation of the outcome noise (default 1).
+
+        noncentred : bool, default True
+            If True, use a non-centred parameterization for the outcome coefficients.
+
+        normal_outcome : bool, default True
+            If True, assume a Normal likelihood for the outcome.
+            If False, use a Student-t likelihood with unknown degrees of freedom.
+
+        spline_component : bool, default False
+            If True, include a spline basis expansion on the propensity score to allow
+            flexible (nonlinear) adjustment. Uses B-splines with 30 internal knots.
+
+        Returns
+        -------
+        idata_outcome : arviz.InferenceData
+            The posterior and prior predictive samples from the outcome model.
+
+        model_outcome : pm.Model
+            The PyMC model object.
+
+        Raises
+        ------
+        AttributeError
+            If the `self.idata` attribute is not available, which indicates that
+            `fit()` (i.e., the treatment model) has not been called yet.
+
+        Notes
+        -----
+        - This model uses a sampled version of the propensity score (`p`) from the
+        posterior of the treatment model, randomly selecting one posterior draw
+        per call.
+        - The term `beta_ps[0] * p + beta_ps[1] * (p * treatment)` captures both
+        main and interaction effects of the propensity score.
+        - Including spline adjustment enables modeling nonlinear relationships
+        between the propensity score and the outcome.
+        - Compatible with IPW-style estimation when combined with weighted loss or
+        diagnostics outside this function.
+
+        """
         if not hasattr(self, "idata"):
             raise AttributeError("""Object is missing required attribute 'idata'
                                  so cannot proceed. Call fit() first""")
@@ -551,7 +614,6 @@ def fit_outcome_model(
                     dims="outcome_coeffs",
                 )
 
-            beta_ps_spline = pm.Normal("beta_ps_spline", 0, 1, size=34)
             beta_ps = pm.Normal("beta_ps", 0, 1, size=2)
 
             chosen = np.random.choice(range(propensity_scores.shape[1]))
diff --git a/causalpy/tests/test_integration_pymc_examples.py b/causalpy/tests/test_integration_pymc_examples.py
index 76f454ef..b68c9bcc 100644
--- a/causalpy/tests/test_integration_pymc_examples.py
+++ b/causalpy/tests/test_integration_pymc_examples.py
@@ -14,6 +14,7 @@
 import arviz as az
 import numpy as np
 import pandas as pd
+import pymc as pm
 import pytest
 from matplotlib import pyplot as plt
 
@@ -723,5 +724,29 @@ def test_inverse_prop(mock_pymc_sample):
     assert isinstance(fig, plt.Figure)
     assert isinstance(axs, list)
     assert all(isinstance(ax, plt.Axes) for ax in axs)
+    plt.close()
     with pytest.raises(NotImplementedError):
         result.get_plot_data()
+
+    ### testing outcome model
+    idata_normal, model_normal = result.model.fit_outcome_model(
+        X_outcome=result.X_outcome,
+        y=result.y,
+        coords=result.coords,
+        normal_outcome=True,
+        spline_component=False,
+    )
+    assert isinstance(idata_normal, az.InferenceData)
+    assert isinstance(model_normal, pm.Model)
+    assert "beta_" in idata_normal.posterior
+    assert "beta_ps" in idata_normal.posterior
+
+    # Test spline model
+    idata_spline, _ = result.model.fit_outcome_model(
+        X_outcome=result.X_outcome,
+        y=result.y,
+        coords=result.coords,
+        normal_outcome=True,
+        spline_component=True,
+    )
+    assert "spline_features" in idata_spline.posterior
diff --git a/docs/source/_static/interrogate_badge.svg b/docs/source/_static/interrogate_badge.svg
index 4a908d60..f135fc49 100644
--- a/docs/source/_static/interrogate_badge.svg
+++ b/docs/source/_static/interrogate_badge.svg
@@ -1,5 +1,5 @@
 <svg width="140" height="20" viewBox="0 0 140 20" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;">
-    <title>interrogate: 94.5%</title>
+    <title>interrogate: 95.0%</title>
     <g transform="matrix(1,0,0,1,22,0)">
         <g id="backgrounds" transform="matrix(1.32789,0,0,1,-22.3892,0)">
             <rect x="0" y="0" width="71" height="20" style="fill:rgb(85,85,85);"/>
@@ -12,8 +12,8 @@
     <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110">
         <text x="590" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="610">interrogate</text>
         <text x="590" y="140" transform="scale(.1)" textLength="610">interrogate</text>
-        <text x="1160" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="370" data-interrogate="result">94.5%</text>
-        <text x="1160" y="140" transform="scale(.1)" textLength="370" data-interrogate="result">94.5%</text>
+        <text x="1160" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="370" data-interrogate="result">95.0%</text>
+        <text x="1160" y="140" transform="scale(.1)" textLength="370" data-interrogate="result">95.0%</text>
     </g>
     <g id="logo-shadow" serif:id="logo shadow" transform="matrix(0.854876,0,0,0.854876,-6.73514,1.732)">
         <g transform="matrix(0.299012,0,0,0.299012,9.70229,-6.68582)">

From 6aea139adcdf9514badfff46dae2353903a8d6f7 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Fri, 11 Jul 2025 23:41:38 +0100
Subject: [PATCH 14/31] adding video resource and notebook to how-to

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 .../knowledgebase/causal_video_resources.md   |  7 +++
 docs/source/notebooks/index.md                |  1 +
 docs/source/notebooks/inv_prop_latent.ipynb   | 45 +++++++++++++++----
 3 files changed, 45 insertions(+), 8 deletions(-)

diff --git a/docs/source/knowledgebase/causal_video_resources.md b/docs/source/knowledgebase/causal_video_resources.md
index ab138613..4a55a287 100644
--- a/docs/source/knowledgebase/causal_video_resources.md
+++ b/docs/source/knowledgebase/causal_video_resources.md
@@ -44,3 +44,10 @@
 <div class="video-container">
     <iframe width="560" height="315" src="https://www.youtube.com/embed/QAzAFess1AA?si=zD6PrljOFUyvjm1I" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
 </div>
+
+
+## Uncertainty and Causal Inference in Python with CausalPy
+
+<div class="video-container">
+    <iframe width="560" height="315" src="https://www.youtube.com/embed/-C4p4b2cUp8?si=klS3Ze8PjOpajqaQ" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
+</div>
diff --git a/docs/source/notebooks/index.md b/docs/source/notebooks/index.md
index 8af5cc31..17eaa40c 100644
--- a/docs/source/notebooks/index.md
+++ b/docs/source/notebooks/index.md
@@ -71,4 +71,5 @@ iv_weak_instruments.ipynb
 :maxdepth: 1
 
 inv_prop_pymc.ipynb
+inv_prop_latent.ipynb
 :::
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index f571417e..9d09058f 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -33,7 +33,7 @@
     "\n",
     "In this notebook we'll show why we should be careful attempting to model the joint-distribution of the propensity score and the outcome variable, but still make good use of the propensity score. \n",
     "\n",
-    "### Brief Digression on the Mathematics\n",
+    "#### Brief Digression on the Mathematics\n",
     "\n",
     "Consider that we have the following three variables:\n",
     "\n",
@@ -3785,7 +3785,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Nets Example\n",
+    "### Nets Example\n",
     "\n",
     "Next we'll asses a data set used by Andrew Heiss to demonstrate propensity score methods with `brms`. "
    ]
@@ -5439,7 +5439,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## LaLonde Example\n",
+    "### LaLonde Example\n",
     "\n",
     "The Lalonde Data set is famous because it highlights a problem with naive causal contrasts. It is discussed by Angrist and Pischke in their _Mostly Harmless Econometrics_ as an example of how regression controls can tolerably address selection effects in a way similar to propensity score weighting. So we should hope the a well specified outcome model can identify the treatment effects plausibly here too. "
    ]
@@ -6133,7 +6133,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## NHEFS \n",
+    "### NHEFS \n",
     "\n",
     "Finally we turn to the NHEFS data. This data is known to be have a complex covariate profile for measuring aspects smokers health. We might suspect that there is some unmeasured confounding in this data set that would be hard to pick up on with simple regression controls. "
    ]
@@ -6733,7 +6733,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Two-Stage Outcome Modelling with CausalPy\n"
+    "### Two-Stage Outcome Modelling with CausalPy\n",
+    "\n",
+    "Next we show how to achieve these steps with the simpler CausalPy experiment API. "
    ]
   },
   {
@@ -6796,7 +6798,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Comparing Inverse Propensity Score Weighting and Covariate Adjustment"
+    "### Comparing Inverse Propensity Score Weighting and Covariate Adjustment\n",
+    "\n",
+    "The two step procedure doesn't jusst apply for regression adjustment methods as we've seen here, but can be used to apply inverse weighting techniques too. "
    ]
   },
   {
@@ -6829,6 +6833,13 @@
     "result.plot_ate(result.idata);"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "which can be compared against the two-step regression adjustment here. "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 34,
@@ -6859,6 +6870,13 @@
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Yielding similar, but not identical results. "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 35,
@@ -7144,16 +7162,27 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Conclusion: It' the Model Stupid!\n",
+    "### Conclusion: Modularity as Causal Discipline\n",
+    "\n",
+    "When attempting to estimate treatment effects using Bayesian inference, a natural but risky strategy is to fit a joint model for both the treatment assignment and the outcome. That is, to specify a full model and infer the parameters of both components simultaneously.\n",
     "\n",
+    "However, this joint approach introduces a feedback loop: the outcome $Y$ can influence the estimation of the treatment mechanism $P(T | X)$. This violates the original logic of design-based inference, where treatment assignment should be modeled independently of the observed outcomes. This phenomenon is often subtle but can lead to biased treatment effect estimates.\n",
     "\n",
+    "Across several examples, we have shown that fitting a full joint model distorts the treatment effect estimate relative to a two-step (modular) approach.\n",
+    "In other cases, joint and modular approaches yield nearly identical estimates — usually when the treatment mechanism is well-identified from covariates alone. With these observations in scope, we recommend that practioners generally follow a two-step or modular approach. Either two-stage inverse propensity score weighting or regression adjustment with the propensity score as an additional covariate. Both methods are available now in `CausalPy`. \n",
     "\n",
+    "Framed this way we can see that joint model violates the temporal precedence of the treatment assignment and outcome process. The 2-stage Bayesian procedures ensure that the causal ordering encoded in the actual data generating process is respected in the estimation process. The confounding adjustment achieved with propensity score must occur without access to information about the outcome. A well-specified propensity score model can substantially improve causal estimates (as we've seen), especially when the outcome model is weak or mis-specified. Propensity scores do not only serve to reduce dimensionality; they formalize the treatment mechanism and encode information that the outcome model might fail to recover. This explains their continued prominence in modern causal inference.\n",
     "\n",
-    "## References\n",
+    "### References\n",
     ":::{bibliography}\n",
     ":filter: docname in docnames\n",
     ":::"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
   }
  ],
  "metadata": {

From ec8173fafbd463b5749b93ca88db5fd79e8439ea Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Fri, 11 Jul 2025 23:49:46 +0100
Subject: [PATCH 15/31] adding some more test coverage

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/tests/test_integration_pymc_examples.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/causalpy/tests/test_integration_pymc_examples.py b/causalpy/tests/test_integration_pymc_examples.py
index b68c9bcc..5932631b 100644
--- a/causalpy/tests/test_integration_pymc_examples.py
+++ b/causalpy/tests/test_integration_pymc_examples.py
@@ -750,3 +750,14 @@ def test_inverse_prop(mock_pymc_sample):
         spline_component=True,
     )
     assert "spline_features" in idata_spline.posterior
+
+    # Test student-t outcome
+    idata_student, _ = result.model.fit_outcome_model(
+        X_outcome=result.X_outcome,
+        y=result.y,
+        coords=result.coords,
+        noncentred=False,
+        normal_outcome=False,
+        spline_component=False,
+    )
+    assert "nu" in idata_student.posterior

From 6f3aa02a8f7dcc5efdf40f092943c366e6f9b5ce Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Fri, 11 Jul 2025 23:52:55 +0100
Subject: [PATCH 16/31] fixing spelling error

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 9d09058f..c5baaa1c 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -7169,7 +7169,7 @@
     "However, this joint approach introduces a feedback loop: the outcome $Y$ can influence the estimation of the treatment mechanism $P(T | X)$. This violates the original logic of design-based inference, where treatment assignment should be modeled independently of the observed outcomes. This phenomenon is often subtle but can lead to biased treatment effect estimates.\n",
     "\n",
     "Across several examples, we have shown that fitting a full joint model distorts the treatment effect estimate relative to a two-step (modular) approach.\n",
-    "In other cases, joint and modular approaches yield nearly identical estimates — usually when the treatment mechanism is well-identified from covariates alone. With these observations in scope, we recommend that practioners generally follow a two-step or modular approach. Either two-stage inverse propensity score weighting or regression adjustment with the propensity score as an additional covariate. Both methods are available now in `CausalPy`. \n",
+    "In other cases, joint and modular approaches yield nearly identical estimates — usually when the treatment mechanism is well-identified from covariates alone. With these observations in scope, we recommend that practitioners generally follow a two-step or modular approach. Either two-stage inverse propensity score weighting or regression adjustment with the propensity score as an additional covariate. Both methods are available now in `CausalPy`. \n",
     "\n",
     "Framed this way we can see that joint model violates the temporal precedence of the treatment assignment and outcome process. The 2-stage Bayesian procedures ensure that the causal ordering encoded in the actual data generating process is respected in the estimation process. The confounding adjustment achieved with propensity score must occur without access to information about the outcome. A well-specified propensity score model can substantially improve causal estimates (as we've seen), especially when the outcome model is weak or mis-specified. Propensity scores do not only serve to reduce dimensionality; they formalize the treatment mechanism and encode information that the outcome model might fail to recover. This explains their continued prominence in modern causal inference.\n",
     "\n",

From 127698a97bf7a5d21f79d79bf29ae2c7b2dadf37 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sat, 12 Jul 2025 15:48:25 +0100
Subject: [PATCH 17/31] adjusting for some Juan's comments

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 1588 ++++++++++---------
 1 file changed, 822 insertions(+), 766 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index c5baaa1c..13eb1a8d 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -112,43 +112,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.523488</td>\n",
-       "      <td>0.044881</td>\n",
-       "      <td>0.671594</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1.995582</td>\n",
+       "      <td>-0.258311</td>\n",
+       "      <td>-1.218545</td>\n",
+       "      <td>-2.141072</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.541699</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-0.601303</td>\n",
-       "      <td>1.339160</td>\n",
-       "      <td>0.723706</td>\n",
+       "      <td>0.380826</td>\n",
+       "      <td>-0.116874</td>\n",
+       "      <td>1.631210</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.008482</td>\n",
+       "      <td>-1.240376</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>-0.073837</td>\n",
-       "      <td>-0.425303</td>\n",
-       "      <td>0.582251</td>\n",
+       "      <td>0.537338</td>\n",
+       "      <td>-1.024488</td>\n",
+       "      <td>-1.689718</td>\n",
        "      <td>0</td>\n",
-       "      <td>-1.986655</td>\n",
+       "      <td>5.760497</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-0.481951</td>\n",
-       "      <td>-0.515395</td>\n",
-       "      <td>-0.383367</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.637298</td>\n",
+       "      <td>0.886697</td>\n",
+       "      <td>0.848357</td>\n",
+       "      <td>0.541197</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.007112</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1.600781</td>\n",
-       "      <td>0.092157</td>\n",
-       "      <td>0.348892</td>\n",
+       "      <td>1.592134</td>\n",
+       "      <td>-0.000832</td>\n",
+       "      <td>0.190106</td>\n",
        "      <td>1</td>\n",
-       "      <td>2.545765</td>\n",
+       "      <td>5.146202</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -156,11 +156,11 @@
       ],
       "text/plain": [
        "         x1        x2        x3  trt   outcome\n",
-       "0  0.523488  0.044881  0.671594    1  1.995582\n",
-       "1 -0.601303  1.339160  0.723706    1  0.008482\n",
-       "2 -0.073837 -0.425303  0.582251    0 -1.986655\n",
-       "3 -0.481951 -0.515395 -0.383367    0  1.637298\n",
-       "4  1.600781  0.092157  0.348892    1  2.545765"
+       "0 -0.258311 -1.218545 -2.141072    0  7.541699\n",
+       "1  0.380826 -0.116874  1.631210    1 -1.240376\n",
+       "2  0.537338 -1.024488 -1.689718    0  5.760497\n",
+       "3  0.886697  0.848357  0.541197    1  2.007112\n",
+       "4  1.592134 -0.000832  0.190106    1  5.146202"
       ]
      },
      "execution_count": 2,
@@ -206,7 +206,7 @@
    "source": [
     "### Specifying the Joint Model\n",
     "\n",
-    "Here we will define a model context that fits our data simultaneously for treatment and outcome. We allow that the propensity score estimated in the treatment model is used in a non-parametric spline to flexibly inform the outcome variable"
+    "Here we will define a model context that fits our data simultaneously for treatment and outcome. We allow that the propensity score estimated in the treatment model is used in a non-parametric spline to flexibly inform the outcome variable. Note that we will allow for a richer model specification of the treatment than we do for the outcome model. This is to try and push the models to use the propensity score information to adjust for unmeasured confounding in the outcome model. "
    ]
   },
   {
@@ -234,7 +234,7 @@
        "<svg width=\"878pt\" height=\"596pt\"\n",
        " viewBox=\"0.00 0.00 878.00 596.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
        "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 592.36)\">\n",
-       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-592.36 874.18,-592.36 874.18,4 -4,4\"/>\n",
+       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-592.36 873.98,-592.36 873.98,4 -4,4\"/>\n",
        "<g id=\"clust1\" class=\"cluster\">\n",
        "<title>cluster4000 x 3</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M20,-353.13C20,-353.13 66,-353.13 66,-353.13 72,-353.13 78,-359.13 78,-365.13 78,-365.13 78,-439.13 78,-439.13 78,-445.13 72,-451.13 66,-451.13 66,-451.13 20,-451.13 20,-451.13 14,-451.13 8,-445.13 8,-439.13 8,-439.13 8,-365.13 8,-365.13 8,-359.13 14,-353.13 20,-353.13\"/>\n",
@@ -274,7 +274,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"43\" y=\"-392.83\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node6\" class=\"node\">\n",
        "<title>p</title>\n",
        "<polygon fill=\"none\" stroke=\"black\" points=\"195.12,-325.23 104.88,-325.23 104.88,-267.73 195.12,-267.73 195.12,-325.23\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">p</text>\n",
@@ -282,7 +282,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M58.6,-385.41C65.15,-374.77 73.28,-362.89 82,-353.13 88.29,-346.11 95.5,-339.23 102.83,-332.83\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"104.89,-335.67 110.28,-326.55 100.38,-330.32 104.89,-335.67\"/>\n",
@@ -296,7 +296,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"318\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node3\" class=\"node\">\n",
+       "<g id=\"node7\" class=\"node\">\n",
        "<title>like</title>\n",
        "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"213\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
@@ -304,115 +304,115 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge13\" class=\"edge\">\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
        "<title>X_outcome&#45;&gt;like</title>\n",
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     "\n",
     "Here we allow for a function that takes the same inputs but fits two separate models. First we fit the treatment model then store the `idata_treatment` this xarray object stores the posterior estimates for the propensity score. We pass this through to a second outcome model where we proceed to take a random draw from the posterior and pass it through to the outcome regression via a spline component. This allows us to express any non-linearity in the treatment effect. Additionally it can be seen as a way to augment the outcome model.\n",
     "\n",
-    "While theoretically the propensity score contains no extra information if we are already conditioning on $X$, practically the literature reports that the propensity improves the stability of the causal estimates achievable in Bayesian causal modelling. "
+    "While theoretically the propensity score contains no extra information if we are already conditioning on $X$, practically the literature reports that the propensity improves the stability of the causal estimates achievable in Bayesian causal modelling. Additionally we might want to seperate covariates for predicting the outcome and the treatment. In this case, there may be extra information derived in the treatment model that be used to inform the outcome model. "
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-    "### Putting it all Together"
+    "### Putting it all Together\n",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1089,7 +1083,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -1125,75 +1119,75 @@
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.021</td>\n",
-       "      <td>0.025</td>\n",
-       "      <td>-0.068</td>\n",
-       "      <td>0.025</td>\n",
+       "      <td>0.045</td>\n",
+       "      <td>0.026</td>\n",
+       "      <td>-0.002</td>\n",
+       "      <td>0.092</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.521</td>\n",
-       "      <td>0.135</td>\n",
-       "      <td>2.263</td>\n",
-       "      <td>2.772</td>\n",
+       "      <td>2.629</td>\n",
+       "      <td>0.136</td>\n",
+       "      <td>2.369</td>\n",
+       "      <td>2.877</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.257</td>\n",
-       "      <td>0.071</td>\n",
-       "      <td>1.125</td>\n",
-       "      <td>1.388</td>\n",
+       "      <td>1.360</td>\n",
+       "      <td>0.066</td>\n",
+       "      <td>1.238</td>\n",
+       "      <td>1.487</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-15.290</td>\n",
-       "      <td>0.311</td>\n",
-       "      <td>-15.905</td>\n",
-       "      <td>-14.732</td>\n",
+       "      <td>-14.524</td>\n",
+       "      <td>0.287</td>\n",
+       "      <td>-15.053</td>\n",
+       "      <td>-13.993</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.428</td>\n",
-       "      <td>0.243</td>\n",
-       "      <td>-0.883</td>\n",
-       "      <td>0.037</td>\n",
+       "      <td>-0.536</td>\n",
+       "      <td>0.237</td>\n",
+       "      <td>-0.967</td>\n",
+       "      <td>-0.077</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.468</td>\n",
-       "      <td>0.158</td>\n",
-       "      <td>8.181</td>\n",
-       "      <td>8.773</td>\n",
+       "      <td>8.267</td>\n",
+       "      <td>0.154</td>\n",
+       "      <td>7.983</td>\n",
+       "      <td>8.557</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.739</td>\n",
-       "      <td>0.264</td>\n",
-       "      <td>1.244</td>\n",
-       "      <td>2.244</td>\n",
+       "      <td>2.178</td>\n",
+       "      <td>0.269</td>\n",
+       "      <td>1.665</td>\n",
+       "      <td>2.679</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.218</td>\n",
+       "      <td>1.184</td>\n",
        "      <td>0.040</td>\n",
-       "      <td>1.143</td>\n",
-       "      <td>1.294</td>\n",
+       "      <td>1.112</td>\n",
+       "      <td>1.257</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.206</td>\n",
-       "      <td>0.061</td>\n",
-       "      <td>3.097</td>\n",
-       "      <td>3.327</td>\n",
+       "      <td>3.194</td>\n",
+       "      <td>0.062</td>\n",
+       "      <td>3.078</td>\n",
+       "      <td>3.309</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1202,18 +1196,18 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt      -0.021  0.025  -0.068    0.025    1.0\n",
-       "              beta_[trt]      2.521  0.135   2.263    2.772    1.0\n",
-       "              beta_[x1]       1.257  0.071   1.125    1.388    1.0\n",
-       "              beta_ps[0]    -15.290  0.311 -15.905  -14.732    1.0\n",
-       "              beta_ps[1]     -0.428  0.243  -0.883    0.037    1.0\n",
-       "              alpha_outcome   8.468  0.158   8.181    8.773    1.0\n",
-       "2-stage-model beta_[trt]      1.739  0.264   1.244    2.244    1.0\n",
-       "              beta_[x1]       1.218  0.040   1.143    1.294    1.0\n",
-       "              alpha_outcome   3.206  0.061   3.097    3.327    1.0"
+       "1-stage-model alpha_trt       0.045  0.026  -0.002    0.092    1.0\n",
+       "              beta_[trt]      2.629  0.136   2.369    2.877    1.0\n",
+       "              beta_[x1]       1.360  0.066   1.238    1.487    1.0\n",
+       "              beta_ps[0]    -14.524  0.287 -15.053  -13.993    1.0\n",
+       "              beta_ps[1]     -0.536  0.237  -0.967   -0.077    1.0\n",
+       "              alpha_outcome   8.267  0.154   7.983    8.557    1.0\n",
+       "2-stage-model beta_[trt]      2.178  0.269   1.665    2.679    1.0\n",
+       "              beta_[x1]       1.184  0.040   1.112    1.257    1.0\n",
+       "              alpha_outcome   3.194  0.062   3.078    3.309    1.0"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1242,13 +1236,13 @@
     "\n",
     "The issue here is sometimes called Bayesian feedback or \"collider bias via the likelihood\", and it's a key issue when trying to build joint models for causal inference in the Bayesian paradigm. Because we have fit the outcome and the treatment models simultaneously, and this means that the outcome can influence the posterior distribution of the parameters $\\beta$ in the treatment model and it violates the idea of design-before-analysis. We have here an apparent example of a slight bias due to this effect.  The two stage modular approach seems to better recover the treatment effect reported in the literature and avoids the risk of collider bias i.e. in the modular implementation we are able to use the propensity score to adjust for accuracy and compensate for the missing variables `x2` and `x1`. \n",
     "\n",
-    "<div style=\"border-left: 4px solid #007acc; padding: 0.5em 1em; background-color: #f0f8ff;\">\n",
     "\n",
     "**💡 Key Take-away:** With an underspecified outcome model, we may use a well specified propensity score for adjusting the model to retrieve accurate treatment effect estimates. However, this tends to breakdown if we have estimated both propensity score and outcome in a joint bayesian model due to feedback effects. The solution is to use the propensity score in a 2 stage fashion. \n",
     "\n",
-    "</div>\n",
     "\n",
-    "#### Propensity Score Quantiles - Joint Model"
+    "#### Propensity Score Quantiles - Joint Model\n",
+    "\n",
+    "We can see how the different model specifications have yielded distinct propensity score estimates - as the joint specification seems to compensate for missing covariates in the outcome model by adjusting the propensity score latent in the treatment model too. We can see the diffferences in the quantiles to highlight a numeric difference in the propensity score distributions between the two models."
    ]
   },
   {
@@ -1703,13 +1697,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.218, 0.296, 0.363, 0.424, 0.489, 0.549, 0.615, 0.685, 0.763])\n",
+       "array([0.216, 0.302, 0.373, 0.444, 0.505, 0.57 , 0.634, 0.703, 0.785])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dda364a8-5252-42cb-bbef-6285ac1ee2cb' class='xr-array-in' type='checkbox' checked><label for='section-dda364a8-5252-42cb-bbef-6285ac1ee2cb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.218 0.296 0.363 0.424 0.489 0.549 0.615 0.685 0.763</span></div><div class='xr-array-data'><pre>array([0.218, 0.296, 0.363, 0.424, 0.489, 0.549, 0.615, 0.685, 0.763])</pre></div></div></li><li class='xr-section-item'><input id='section-77bb82d3-6092-4399-a09e-51133992962e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-77bb82d3-6092-4399-a09e-51133992962e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-ab8a19b1-afcd-489a-8017-b117d680c4a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab8a19b1-afcd-489a-8017-b117d680c4a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a845860-8c2a-4301-ba02-bb88be5932ec' class='xr-var-data-in' type='checkbox'><label for='data-4a845860-8c2a-4301-ba02-bb88be5932ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92a2fad8-f3cb-46d7-8a24-2eb2dd64eff2' class='xr-section-summary-in' type='checkbox'  ><label for='section-92a2fad8-f3cb-46d7-8a24-2eb2dd64eff2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-154fe5c1-072e-4879-a7ed-441a90521226' class='xr-index-data-in' type='checkbox'/><label for='index-154fe5c1-072e-4879-a7ed-441a90521226' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb46bfa3-758d-4e26-b181-d945c000bb9c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eb46bfa3-758d-4e26-b181-d945c000bb9c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4750cb32-edb6-4419-9f19-3c1f079a9c6d' class='xr-array-in' type='checkbox' checked><label for='section-4750cb32-edb6-4419-9f19-3c1f079a9c6d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.216 0.302 0.373 0.444 0.505 0.57 0.634 0.703 0.785</span></div><div class='xr-array-data'><pre>array([0.216, 0.302, 0.373, 0.444, 0.505, 0.57 , 0.634, 0.703, 0.785])</pre></div></div></li><li class='xr-section-item'><input id='section-20d32a92-5ed8-404d-8c26-aa9d4b0fd501' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20d32a92-5ed8-404d-8c26-aa9d4b0fd501' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-caad4819-cadd-4ccf-adfb-35d07ffee1b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-caad4819-cadd-4ccf-adfb-35d07ffee1b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d3327f2-9745-4575-bf7b-5147b706f4ab' class='xr-var-data-in' type='checkbox'><label for='data-5d3327f2-9745-4575-bf7b-5147b706f4ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-746c72a4-3b53-4101-a513-f13b4acbe2fa' class='xr-section-summary-in' type='checkbox'  ><label for='section-746c72a4-3b53-4101-a513-f13b4acbe2fa' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f540a44a-572c-464e-b919-f2c216ee6167' class='xr-index-data-in' type='checkbox'/><label for='index-f540a44a-572c-464e-b919-f2c216ee6167' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebc6bee1-95b0-4493-99bd-608b9544e1c6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ebc6bee1-95b0-4493-99bd-608b9544e1c6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.218, 0.296, 0.363, 0.424, 0.489, 0.549, 0.615, 0.685, 0.763])\n",
+       "array([0.216, 0.302, 0.373, 0.444, 0.505, 0.57 , 0.634, 0.703, 0.785])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -1729,7 +1723,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Propensity Score Quantiles - 2 Stage Modular Model"
+    "#### Propensity Score Quantiles - 2 Stage Modular Model\n",
+    "\n",
+    "The range an position of these quantiles is vastly different than the joint model specification. "
    ]
   },
   {
@@ -2184,13 +2180,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.   , 0.001, 0.011, 0.077, 0.389, 0.837, 0.978, 0.998, 1.   ])\n",
+       "array([0.   , 0.001, 0.01 , 0.108, 0.486, 0.879, 0.986, 0.999, 1.   ])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2877366c-025a-4042-8c60-f15a56b9b73d' class='xr-array-in' type='checkbox' checked><label for='section-2877366c-025a-4042-8c60-f15a56b9b73d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.011 0.077 0.389 0.837 0.978 0.998 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.011, 0.077, 0.389, 0.837, 0.978, 0.998, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-e9e25682-a4c7-4ac1-9994-bce5cf5ec003' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9e25682-a4c7-4ac1-9994-bce5cf5ec003' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-d2fcfb8c-d8dd-459f-a4a8-407d9d42d484' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2fcfb8c-d8dd-459f-a4a8-407d9d42d484' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d25df01-48fa-4f0b-978f-b73b898efa2a' class='xr-var-data-in' type='checkbox'><label for='data-4d25df01-48fa-4f0b-978f-b73b898efa2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c4e6daf-a050-4e5e-b287-9c2bbd2ad9db' class='xr-section-summary-in' type='checkbox'  ><label for='section-9c4e6daf-a050-4e5e-b287-9c2bbd2ad9db' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-bc47afba-7379-45c8-9c5a-303d483a048e' class='xr-index-data-in' type='checkbox'/><label for='index-bc47afba-7379-45c8-9c5a-303d483a048e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e488b207-33a9-4f84-88a7-345c01715055' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e488b207-33a9-4f84-88a7-345c01715055' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b44567d3-263c-4743-87a1-a2022b08aaf1' class='xr-array-in' type='checkbox' checked><label for='section-b44567d3-263c-4743-87a1-a2022b08aaf1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.01 0.108 0.486 0.879 0.986 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.01 , 0.108, 0.486, 0.879, 0.986, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-759e4576-1386-4467-a536-08f4258a872a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-759e4576-1386-4467-a536-08f4258a872a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-b9cf9195-4d4a-4012-b4a6-a2830fd0e382' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9cf9195-4d4a-4012-b4a6-a2830fd0e382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e472d2c9-a6e2-4837-8d92-bb7665d1aa49' class='xr-var-data-in' type='checkbox'><label for='data-e472d2c9-a6e2-4837-8d92-bb7665d1aa49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1db184ba-88bf-4a12-9113-1933e8df3eb9' class='xr-section-summary-in' type='checkbox'  ><label for='section-1db184ba-88bf-4a12-9113-1933e8df3eb9' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-fcf16bfe-f592-40b7-b94d-9fbb6c68fd1d' class='xr-index-data-in' type='checkbox'/><label for='index-fcf16bfe-f592-40b7-b94d-9fbb6c68fd1d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a49bfa97-a63d-4b30-996b-f44efc5d54df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a49bfa97-a63d-4b30-996b-f44efc5d54df' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.   , 0.001, 0.011, 0.077, 0.389, 0.837, 0.978, 0.998, 1.   ])\n",
+       "array([0.   , 0.001, 0.01 , 0.108, 0.486, 0.879, 0.986, 0.999, 1.   ])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -2228,6 +2224,13 @@
     "X_outcome_ntrt[:, 0] = 0"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "First we specify our counterfactual input data. Then we push them throug the joint model distribution using the do-operator in `PyMC` to sample from the posterior predictive distribution giving us sample of the potential outcomes $Y(1), Y(0)$"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 11,
@@ -2243,7 +2246,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "99431bac508e4538a1b25ed7761fce05",
+       "model_id": "c3c20e1c642d4d52969a9c7106316ce4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2274,7 +2277,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4fd9a610bc8b4ae9add222bcc7f1095f",
+       "model_id": "fab976af200a4feaaaf5edcaf8e5e0a5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2312,6 +2315,13 @@
     "    idata_ntrt = pm.sample_posterior_predictive(idata_joint, var_names=[\"like\", \"p\"])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For sake of illustration we calculate the mean value for $Y(1)$"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 12,
@@ -2764,11 +2774,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(3.38591982)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-554a91c1-985e-4a67-b851-e76581a27870' class='xr-array-in' type='checkbox' checked><label for='section-554a91c1-985e-4a67-b851-e76581a27870' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.386</span></div><div class='xr-array-data'><pre>array(3.38591982)</pre></div></div></li><li class='xr-section-item'><input id='section-a8aaa268-2446-41f7-8fb7-017b602f6b2b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a8aaa268-2446-41f7-8fb7-017b602f6b2b' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-85021981-a091-4aac-aacc-5847a653fead' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-85021981-a091-4aac-aacc-5847a653fead' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fcf5c0b4-1d58-4bc9-8271-18fdd51a25ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fcf5c0b4-1d58-4bc9-8271-18fdd51a25ec' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(3.42768814)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ae9eb9ef-6000-4eed-9c51-c5d115de7ece' class='xr-array-in' type='checkbox' checked><label for='section-ae9eb9ef-6000-4eed-9c51-c5d115de7ece' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.428</span></div><div class='xr-array-data'><pre>array(3.42768814)</pre></div></div></li><li class='xr-section-item'><input id='section-e6e0f5d9-7d98-4020-adfd-920ffcf2f025' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6e0f5d9-7d98-4020-adfd-920ffcf2f025' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-00007a4f-b4ad-4128-93ae-a9456719fbe8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-00007a4f-b4ad-4128-93ae-a9456719fbe8' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a7b3f4bf-1b49-46b2-8d9d-cd53d30b9599' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a7b3f4bf-1b49-46b2-8d9d-cd53d30b9599' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(3.38591982)"
+       "array(3.42768814)"
       ]
      },
      "execution_count": 12,
@@ -2780,6 +2790,13 @@
     "idata_trt[\"posterior_predictive\"][\"like\"].mean()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The mean value for $Y(0)$"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 13,
@@ -3232,11 +3249,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(0.86502058)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e30d33e6-0fd1-4551-acb8-817dfbfa17bb' class='xr-array-in' type='checkbox' checked><label for='section-e30d33e6-0fd1-4551-acb8-817dfbfa17bb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.865</span></div><div class='xr-array-data'><pre>array(0.86502058)</pre></div></div></li><li class='xr-section-item'><input id='section-65bea3ca-9ba3-43a7-8d3c-bae6298cace9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-65bea3ca-9ba3-43a7-8d3c-bae6298cace9' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ec50fd0c-68ca-410a-a4db-d3fd4439a24d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec50fd0c-68ca-410a-a4db-d3fd4439a24d' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4cf8d63e-f181-46bb-b2b8-28651d6b9b05' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4cf8d63e-f181-46bb-b2b8-28651d6b9b05' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(0.79914133)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9db81b1f-7571-4f52-800a-37782fe3fd28' class='xr-array-in' type='checkbox' checked><label for='section-9db81b1f-7571-4f52-800a-37782fe3fd28' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.7991</span></div><div class='xr-array-data'><pre>array(0.79914133)</pre></div></div></li><li class='xr-section-item'><input id='section-35055293-20dc-45ff-bf2c-4496b09bfd7a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35055293-20dc-45ff-bf2c-4496b09bfd7a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e80e4816-0164-4bf3-a094-ae49e2539295' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e80e4816-0164-4bf3-a094-ae49e2539295' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e51126ff-1eec-4ee0-9ee4-db45ec0879bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e51126ff-1eec-4ee0-9ee4-db45ec0879bf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(0.86502058)"
+       "array(0.79914133)"
       ]
      },
      "execution_count": 13,
@@ -3248,6 +3265,13 @@
     "idata_ntrt[\"posterior_predictive\"][\"like\"].mean()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "and their difference, which is the causal estimand of interest."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 14,
@@ -3700,11 +3724,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(2.52089924)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0dbcdf78-91f4-47fe-9b98-6557ba1d69e0' class='xr-array-in' type='checkbox' checked><label for='section-0dbcdf78-91f4-47fe-9b98-6557ba1d69e0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.521</span></div><div class='xr-array-data'><pre>array(2.52089924)</pre></div></div></li><li class='xr-section-item'><input id='section-1d9eefdf-b09c-46ac-a975-4f3e5c41504e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1d9eefdf-b09c-46ac-a975-4f3e5c41504e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5abd8658-95bf-47c4-89f0-d375f663b8fe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5abd8658-95bf-47c4-89f0-d375f663b8fe' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f0c61029-3991-45fe-8f7a-4c0c31206152' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0c61029-3991-45fe-8f7a-4c0c31206152' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(2.62854681)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a7e79d23-baa8-499b-bb0b-5e74aaee6535' class='xr-array-in' type='checkbox' checked><label for='section-a7e79d23-baa8-499b-bb0b-5e74aaee6535' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.629</span></div><div class='xr-array-data'><pre>array(2.62854681)</pre></div></div></li><li class='xr-section-item'><input id='section-d39ae6ee-8155-4f32-8446-7acda010ff30' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d39ae6ee-8155-4f32-8446-7acda010ff30' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-98d55cd2-3a24-45fe-b47b-df417e7daf74' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-98d55cd2-3a24-45fe-b47b-df417e7daf74' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7f684ff5-201e-4ce1-927b-0a34cd985446' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7f684ff5-201e-4ce1-927b-0a34cd985446' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(2.52089924)"
+       "array(2.62854681)"
       ]
      },
      "execution_count": 14,
@@ -3719,6 +3743,13 @@
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this way we can impute potential outcomes gain insight into any variety of causal estimands we care to calculate. In this case we can see what we derived above that the joint model yields a biased treatment effect estimate. "
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -3730,12 +3761,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3792,7 +3823,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -4031,7 +4062,7 @@
        "[1752 rows x 12 columns]"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4045,8 +4076,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
+   "execution_count": 17,
+   "metadata": {
+    "tags": [
+     "hide-output"
+    ]
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -4062,7 +4097,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "47ec8490bc384338b1f0ba71801d1535",
+       "model_id": "f1ce713129334ca88569db7051f32d65",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4073,6 +4108,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -4087,7 +4130,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 15 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 16 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -4099,7 +4142,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "733133ba36ff4e3b95199a2592a8d352",
+       "model_id": "69634e0e53884f95860bba17a3f1f25d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4124,7 +4167,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -4134,7 +4177,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7d952117285e4de7b6926fc36a5337e8",
+       "model_id": "dd56914b26ab4e22af11f6032cd94906",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4153,6 +4196,14 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -4209,12 +4260,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4236,9 +4287,16 @@
     "ax[0].set_title(\"Comparing Joint and 2 Stage Propensity Score Parameter Fits\");"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As before we have used both model specifications to derive estimates for the treatment effect. In this case we have allowed the outcome model access to only a single `income` predictor. And while both models seem to recover the reported -10 treatment estimate with a large degree of uncertainty. The modular 2 stage estimates pulls away from the joint model estimate.  "
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -4267,10 +4325,6 @@
        "      <th>sd</th>\n",
        "      <th>hdi_3%</th>\n",
        "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
        "      <th>r_hat</th>\n",
        "    </tr>\n",
        "  </thead>\n",
@@ -4279,134 +4333,90 @@
        "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
        "      <td>-0.258</td>\n",
-       "      <td>0.052</td>\n",
-       "      <td>-0.354</td>\n",
-       "      <td>-0.158</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>2688.0</td>\n",
-       "      <td>2630.0</td>\n",
+       "      <td>0.051</td>\n",
+       "      <td>-0.352</td>\n",
+       "      <td>-0.161</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.050</td>\n",
-       "      <td>0.450</td>\n",
-       "      <td>-10.866</td>\n",
-       "      <td>-9.216</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>1803.0</td>\n",
-       "      <td>2235.0</td>\n",
+       "      <td>-10.068</td>\n",
+       "      <td>0.462</td>\n",
+       "      <td>-10.945</td>\n",
+       "      <td>-9.187</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.152</td>\n",
-       "      <td>0.229</td>\n",
-       "      <td>-10.576</td>\n",
-       "      <td>-9.726</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>2044.0</td>\n",
-       "      <td>2778.0</td>\n",
+       "      <td>-10.141</td>\n",
+       "      <td>0.223</td>\n",
+       "      <td>-10.533</td>\n",
+       "      <td>-9.713</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-16.315</td>\n",
-       "      <td>0.683</td>\n",
+       "      <td>-16.345</td>\n",
+       "      <td>0.686</td>\n",
        "      <td>-17.624</td>\n",
-       "      <td>-15.062</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>1856.0</td>\n",
-       "      <td>2475.0</td>\n",
+       "      <td>-15.058</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.191</td>\n",
-       "      <td>0.849</td>\n",
-       "      <td>-1.335</td>\n",
-       "      <td>1.841</td>\n",
-       "      <td>0.020</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>1775.0</td>\n",
-       "      <td>2223.0</td>\n",
+       "      <td>0.231</td>\n",
+       "      <td>0.883</td>\n",
+       "      <td>-1.409</td>\n",
+       "      <td>1.893</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.740</td>\n",
-       "      <td>0.410</td>\n",
-       "      <td>46.015</td>\n",
-       "      <td>47.553</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>1658.0</td>\n",
-       "      <td>2381.0</td>\n",
+       "      <td>46.749</td>\n",
+       "      <td>0.417</td>\n",
+       "      <td>45.977</td>\n",
+       "      <td>47.530</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.623</td>\n",
-       "      <td>0.462</td>\n",
-       "      <td>-10.484</td>\n",
-       "      <td>-8.739</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>4704.0</td>\n",
-       "      <td>5379.0</td>\n",
+       "      <td>-9.575</td>\n",
+       "      <td>0.457</td>\n",
+       "      <td>-10.456</td>\n",
+       "      <td>-8.745</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.298</td>\n",
-       "      <td>0.192</td>\n",
-       "      <td>-10.668</td>\n",
-       "      <td>-9.948</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>4899.0</td>\n",
-       "      <td>5346.0</td>\n",
+       "      <td>-10.769</td>\n",
+       "      <td>0.186</td>\n",
+       "      <td>-11.124</td>\n",
+       "      <td>-10.419</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>43.461</td>\n",
-       "      <td>0.429</td>\n",
-       "      <td>42.704</td>\n",
-       "      <td>44.300</td>\n",
-       "      <td>0.007</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>3795.0</td>\n",
-       "      <td>4472.0</td>\n",
+       "      <td>41.971</td>\n",
+       "      <td>0.421</td>\n",
+       "      <td>41.186</td>\n",
+       "      <td>42.757</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-9.498</td>\n",
-       "      <td>0.927</td>\n",
-       "      <td>-11.274</td>\n",
-       "      <td>-7.800</td>\n",
-       "      <td>0.015</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>3880.0</td>\n",
-       "      <td>4812.0</td>\n",
+       "      <td>-6.135</td>\n",
+       "      <td>0.941</td>\n",
+       "      <td>-7.954</td>\n",
+       "      <td>-4.430</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>-1.202</td>\n",
-       "      <td>0.856</td>\n",
-       "      <td>-2.838</td>\n",
-       "      <td>0.374</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>4982.0</td>\n",
-       "      <td>5259.0</td>\n",
+       "      <td>-1.474</td>\n",
+       "      <td>0.879</td>\n",
+       "      <td>-3.179</td>\n",
+       "      <td>0.147</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4414,34 +4424,21 @@
        "</div>"
       ],
       "text/plain": [
-       "                               mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "1-stage-model alpha_trt      -0.258  0.052  -0.354   -0.158      0.001   \n",
-       "              beta_[trt]    -10.050  0.450 -10.866   -9.216      0.011   \n",
-       "              beta_[income] -10.152  0.229 -10.576   -9.726      0.005   \n",
-       "              beta_ps[0]    -16.315  0.683 -17.624  -15.062      0.016   \n",
-       "              beta_ps[1]      0.191  0.849  -1.335    1.841      0.020   \n",
-       "              alpha_outcome  46.740  0.410  46.015   47.553      0.010   \n",
-       "2-stage-model beta_[trt]     -9.623  0.462 -10.484   -8.739      0.007   \n",
-       "              beta_[income] -10.298  0.192 -10.668   -9.948      0.003   \n",
-       "              alpha_outcome  43.461  0.429  42.704   44.300      0.007   \n",
-       "              beta_ps[0]     -9.498  0.927 -11.274   -7.800      0.015   \n",
-       "              beta_ps[1]     -1.202  0.856  -2.838    0.374      0.012   \n",
-       "\n",
-       "                             mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "1-stage-model alpha_trt        0.001    2688.0    2630.0    1.0  \n",
-       "              beta_[trt]       0.007    1803.0    2235.0    1.0  \n",
-       "              beta_[income]    0.003    2044.0    2778.0    1.0  \n",
-       "              beta_ps[0]       0.010    1856.0    2475.0    1.0  \n",
-       "              beta_ps[1]       0.013    1775.0    2223.0    1.0  \n",
-       "              alpha_outcome    0.006    1658.0    2381.0    1.0  \n",
-       "2-stage-model beta_[trt]       0.005    4704.0    5379.0    1.0  \n",
-       "              beta_[income]    0.002    4899.0    5346.0    1.0  \n",
-       "              alpha_outcome    0.005    3795.0    4472.0    1.0  \n",
-       "              beta_ps[0]       0.010    3880.0    4812.0    1.0  \n",
-       "              beta_ps[1]       0.009    4982.0    5259.0    1.0  "
+       "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
+       "1-stage-model alpha_trt      -0.258  0.051  -0.352   -0.161    1.0\n",
+       "              beta_[trt]    -10.068  0.462 -10.945   -9.187    1.0\n",
+       "              beta_[income] -10.141  0.223 -10.533   -9.713    1.0\n",
+       "              beta_ps[0]    -16.345  0.686 -17.624  -15.058    1.0\n",
+       "              beta_ps[1]      0.231  0.883  -1.409    1.893    1.0\n",
+       "              alpha_outcome  46.749  0.417  45.977   47.530    1.0\n",
+       "2-stage-model beta_[trt]     -9.575  0.457 -10.456   -8.745    1.0\n",
+       "              beta_[income] -10.769  0.186 -11.124  -10.419    1.0\n",
+       "              alpha_outcome  41.971  0.421  41.186   42.757    1.0\n",
+       "              beta_ps[0]     -6.135  0.941  -7.954   -4.430    1.0\n",
+       "              beta_ps[1]     -1.474  0.879  -3.179    0.147    1.0"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4460,9 +4457,16 @@
     "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This kind of difference need not be very concerning but we should check if the bias stems from a difference in latent propensity scores as before. "
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -4912,18 +4916,18 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.181, 0.25 , 0.311, 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])\n",
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.431, 0.501, 0.572, 0.644, 0.728])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8883c2e0-a07d-4070-8956-3f486fbe265c' class='xr-array-in' type='checkbox' checked><label for='section-8883c2e0-a07d-4070-8956-3f486fbe265c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.25 0.311 0.37 0.43 0.501 0.572 0.643 0.727</span></div><div class='xr-array-data'><pre>array([0.181, 0.25 , 0.311, 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])</pre></div></div></li><li class='xr-section-item'><input id='section-505ad980-ca40-445e-9fae-e14ce96d6392' class='xr-section-summary-in' type='checkbox'  checked><label for='section-505ad980-ca40-445e-9fae-e14ce96d6392' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-a8d487df-9f10-4996-bf6c-304691857f8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a8d487df-9f10-4996-bf6c-304691857f8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cd7fa82-2e1c-4331-b665-f7e44bbcc52d' class='xr-var-data-in' type='checkbox'><label for='data-1cd7fa82-2e1c-4331-b665-f7e44bbcc52d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-796e1261-730f-45e4-90ec-3b5519b3b6ce' class='xr-section-summary-in' type='checkbox'  ><label for='section-796e1261-730f-45e4-90ec-3b5519b3b6ce' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0ddb3e25-dfe0-4607-a965-09cfe1c926e9' class='xr-index-data-in' type='checkbox'/><label for='index-0ddb3e25-dfe0-4607-a965-09cfe1c926e9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba22c254-8b98-4f5d-8cbd-a5063e64165d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ba22c254-8b98-4f5d-8cbd-a5063e64165d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6731fd53-b3ba-4257-9986-4557be6bec7c' class='xr-array-in' type='checkbox' checked><label for='section-6731fd53-b3ba-4257-9986-4557be6bec7c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.249 0.31 0.37 0.431 0.501 0.572 0.644 0.728</span></div><div class='xr-array-data'><pre>array([0.181, 0.249, 0.31 , 0.37 , 0.431, 0.501, 0.572, 0.644, 0.728])</pre></div></div></li><li class='xr-section-item'><input id='section-e9c8bb47-e429-46ad-a907-9dfce8ad5691' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9c8bb47-e429-46ad-a907-9dfce8ad5691' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-7f50b1e8-3fd3-470e-a315-17229d1bb4e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f50b1e8-3fd3-470e-a315-17229d1bb4e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a8412fc-0986-48df-90b4-0787ab31f4f0' class='xr-var-data-in' type='checkbox'><label for='data-5a8412fc-0986-48df-90b4-0787ab31f4f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3a45ee1-527b-444a-8328-7c623f890f43' class='xr-section-summary-in' type='checkbox'  ><label for='section-d3a45ee1-527b-444a-8328-7c623f890f43' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d9199abc-6191-4aac-9de4-d173a0b7d494' class='xr-index-data-in' type='checkbox'/><label for='index-d9199abc-6191-4aac-9de4-d173a0b7d494' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4bf7b775-d0f5-452c-ac2c-feab460d27d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4bf7b775-d0f5-452c-ac2c-feab460d27d4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.181, 0.25 , 0.311, 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])\n",
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.431, 0.501, 0.572, 0.644, 0.728])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4934,9 +4938,16 @@
     ").round(3)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The quantiles of the propensity distributions across both models seem different. "
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -5388,7 +5399,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
        "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-61c3a5dc-9eed-48be-bf63-bbae217c075b' class='xr-array-in' type='checkbox' checked><label for='section-61c3a5dc-9eed-48be-bf63-bbae217c075b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.283 0.317 0.349 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-99863a7e-c574-412f-b801-89d6e2981797' class='xr-section-summary-in' type='checkbox'  checked><label for='section-99863a7e-c574-412f-b801-89d6e2981797' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-50d8028e-cc09-44c3-ba4f-d95a6aaf4bde' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50d8028e-cc09-44c3-ba4f-d95a6aaf4bde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-712f4ae2-823f-4bbc-a882-b25ba7a35687' class='xr-var-data-in' type='checkbox'><label for='data-712f4ae2-823f-4bbc-a882-b25ba7a35687' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-06d3dc24-47cc-4de2-b50a-e515c821b695' class='xr-section-summary-in' type='checkbox'  ><label for='section-06d3dc24-47cc-4de2-b50a-e515c821b695' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9d1a8f7d-7828-4487-b34c-a8aa5713c373' class='xr-index-data-in' type='checkbox'/><label for='index-9d1a8f7d-7828-4487-b34c-a8aa5713c373' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9338c69-889e-448b-9d1c-c4acd5a61862' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f9338c69-889e-448b-9d1c-c4acd5a61862' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f31ecc89-582c-4a09-8f90-0f162583324e' class='xr-array-in' type='checkbox' checked><label for='section-f31ecc89-582c-4a09-8f90-0f162583324e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.283 0.317 0.349 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-45877b9f-2853-40c2-b2c6-62d1d6de522a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-45877b9f-2853-40c2-b2c6-62d1d6de522a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-cb934bc4-0625-410f-a69c-9ef3df883909' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb934bc4-0625-410f-a69c-9ef3df883909' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f83de3c7-6c45-470f-a770-9440e5110482' class='xr-var-data-in' type='checkbox'><label for='data-f83de3c7-6c45-470f-a770-9440e5110482' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e622754-17d8-4498-9f74-30d5abaa4469' class='xr-section-summary-in' type='checkbox'  ><label for='section-6e622754-17d8-4498-9f74-30d5abaa4469' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a658c975-6e4f-4ec3-9dc5-1401ffa3e168' class='xr-index-data-in' type='checkbox'/><label for='index-a658c975-6e4f-4ec3-9dc5-1401ffa3e168' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03c9275c-ae94-4afa-9d0c-61acb49ead67' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-03c9275c-ae94-4afa-9d0c-61acb49ead67' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
@@ -5397,7 +5408,7 @@
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5410,12 +5421,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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pIQrmCSFExJs3bwCgWIHHmzdvuACX3x+UZWFhgREjRgBQB6Fihg8frjWNTbama36rVq0AQGefcFNTU9H1WrRoAV9fXzAMg9OnT2vNv3v3LlauXIng4GCMHz8eo0ePxujRoxETEwNA3bxdTKdOnUo09JxYWT08PGBubo7Xr18jPT2dm3727FkAQL9+/USHteLfFCiOkydPcu972LBh8Pf355pMs3kNNA0dOlR0W+wxDggIEL25MWHCBABAfHw8srOztea3a9dOtFn5Bx98AHNzc6SkpODevXvc9MOHD3P7E9O1a1eYmpoiPj5etM/9Bx98oNVs39TUlOuXzb8BxAa4J06cQE5Ojuj+SkuTJk3QoUMHpKena+UZ2LdvHwoKCtCrVy+tgKy0WFpaAij8rtCHzXh/+fJlpKamlnpZ+F0djNWvXz/Y29trTR8zZgwAIC4uTvQ6LC+l8X0qdu3b2dlxQwvyr2H2XB05ckRvDgpCCKkMqM88IYSIsLKyAoBiBSRsLZyZmZlWrTbL3d0dAAQJ7ficnZ21pvFrzsTm29raAtAdXDRs2FBQC8zn5uaG2NhYrfKsXbsWK1asgEqlEl0PgKBWi69Zs2Y61zGE2HsE1MchLS0N2dnZ3Htmy61raMBGjRrB2toaWVlZxSrLixcv8OLFCwDqFgd16tSBr68vRo4cqXPMbM0+/Sy2rOw1oMnFxQWmpqbIz8/Hw4cPtWpsdR1XS0tLODo6IikpCUlJSXBzc8ObN2+QkpICAPj666/1vse8vDxkZGSgfv36gum6zgPbd5sf6PXp0weNGjXC6dOn0bVrV3Tt2pVL4Fja/dYB9Y2G6Oho/Pnnn4Lz8OeffwIo+U0cfdjPma7PFJ+DgwMGDBiAv//+G/369YOfnx86duwIX19ftG3blmu9URy2trYlGklD1/XUpEkTmJmZQaFQiF6H5aWsvk8B9TV8//59wTU8bNgwhIaGcokWu3btCl9fX/j7++vcPyGEVBQK5gkhRARbo1yczOfsj3w7OztIJBLRZdiASVfgLdZMlr8tsRYDuvbFEkucpTmPX56YmBj89NNPkMlkmD17Nnr16gUnJydYWFhAIpFg+fLlWLNmjc7aK7bmsrh0rc/WEvObkrM3XdibMGKsrKyKHcy///77gnHmDaGrVQcbOOg6HxKJBHZ2dnjy5Ino9VHUeUxKSuLW47/fuLi4Isucm5urNU3X+xA7D5aWlti2bRt+/vlnHDp0CAcPHuSy3ru7u2POnDno2bNnkeUwVP/+/bFw4UJERUUhPT0dtra2uHnzJhISEmBvb4+uXbuW2r40sRnUDQ2kly5dCnd3d4SHh+P06dNcCw07OzsEBQUJutUYo6Sfs6Kuw8ePHxvU+qCslMb3qTHXsIODA3bs2IGff/4ZUVFR2LNnD/bs2QMAaNu2LebOnYt27doV780QQkgpo2CeEEJEtGvXDmFhYVzTY2NqztiA8uXLl2AYRvQH6PPnzwXLlgd9fXvZefzy7N+/HwAQGBiIKVOmaK3DDqVVGbA/1vU1B67IgISPDb7Ymn5NDMOIng+WvvPIbpNdjx/oXbt2TW8W+dLSsGFDLF68GAsXLsT169dx4cIFHDp0CNeuXcO0adOwfft2eHt7l8q+LCwsMHDgQOzcuRORkZEYN24cVyv/7rvvcn2ky0JsbCwAoE2bNgYtb25ujunTp2P69Om4e/cuLl68iOPHj+PEiRNYunQpAPVnrbzpup50XYfs9xmjYySH0m6SXxHfp25ubli5ciUUCgXi4+MRExODyMhIXLp0CZMmTcL+/fuLnU+FEEJKE/WZJ4QQEd27d4elpSVevHiBQ4cOGbWus7MzpFIpFAqFVkI51p07dwCom1SXl7S0NJ0BLTt0G788bPNsXbVQuvrKVwS23PxkbHypqanFrpUvbWxZ2WtAU1JSEvLz8yGTyUSbB+saZi8nJ4erLWb3YWNjgwYNGujdX1kxMTGBt7c3pkyZgt27d2PQoEFQKpXYvXt3qe7ngw8+AABERESgoKCAuwlVlk3sr1+/jqtXrwIAevToYfT6bm5uGDlyJNasWYNvv/0WgHqc+Iqg63pKTk6GQqGAVCoVXIfsjTNdNwF0DYtXVMshXSry+9TMzAx+fn4IDg7GgQMH4OPjg+zsbERGRpbqfgghpLgomCeEEBG1a9fmki19//33RTa3j42N5ZoxW1lZcQHw1q1btZbNzc1FeHg4AHWW5fKSn5+PXbt2aU2/ffs2Ll68CIlEgs6dO3PT2eRsYjXIp0+frlTBPFvuw4cPiwbtERER5V0kndhzHh4ejry8PK357DXj4+Mj2oQ6Pj6ey6LPt3v3buTl5aFRo0aCftD9+vUDAGzevLlUyl9cbG3806dPDVqe7Woi1vSfr23btnB3d8f169exceNGPH/+vEzGlmdlZGRg7ty5AIB33nnH4Jp5Xdgx6jWPi6Hvv6QOHz7M1Wzzbdu2DYD2dcj2G2dvZvA9fvxYNIkmUPh9Yuz7qSzfpzKZjBvH3tBrmBBCyhoF84QQokNwcDDatWuH58+fY9SoUfjzzz+1gq/79+9jwYIFmDBhgqCmavLkyQCA7du3czWFgLoP83/+8x+8fPkSjRo1KrNhs8SYmJhg1apViI6O5qY9fvwYX3zxBQB10MevgWOH0Fq3bp2gRuzKlSv46quvjBpmrqx16tQJHh4eSE9Px5w5c/Dq1Stu3pEjR7Bu3bpyaWJuiMGDB8PJyQnPnz/H3LlzBa0l9u7dix07dgAovIY0mZiYYO7cuVzLCQC4ePEiVq5cCQCYNGmSoBZ08uTJqFu3Lvbs2YPFixcLjg2gDk537dqF1atXl/i9bdq0CZs2bdIKDlNTU7kbSeyoC0Vhg0Z21AR92Fr4n3/+WfC6NGVlZWHPnj0YNmwYbt++DXt7e4PzKJw7dw5LlizRah3x5s0bbug3zREKjHn/JaFSqTBnzhzB99c///zDBc6aTf+7desGADh69KhgFIGnT59izpw5UCqVovvh3wQwNrFoeX6fLl++HOHh4Vqfk9u3b+Ovv/4CYPg1TAghZY36zBNCiA5mZmYIDQ3Fl19+iUOHDuGLL77At99+C2dnZ5ibm+Pp06fcePQNGzYUBMI9e/bElClTsG7dOsyZMwfLli1DvXr1cO/ePWRnZ6NOnTpYsWKFUeNBl1S7du1gZWWF8ePHw8XFBZaWlrh9+zYKCgrQpEkTrWznI0eOxPbt2/Hw4UP861//gqurK/Lz83H//n24u7tj4MCB+O2338qt/PpIpVIsXboU48ePx/Hjx9GtWze4ubkhPT0dKSkpGD9+PI4dO4aUlJQy7UdtCAsLC6xYsQKBgYE4ePAgoqKi0KxZM7x48YJrJj916lR0795ddP2RI0fi2LFj6NevH5o3b47c3Fzcv38fgPq6Y4cUYzVs2BCrV6/GtGnTsGnTJoSFhcHV1RUWFhZ4+fIlkpOTwTAMBg4cWOL3lpKSgi1btmDx4sVo1KgR6tWrh6ysLDx48ABKpRJyuRwfffSRQdsaOHAgwsLCsH79evzzzz+wt7eHRCLB5MmTuYCSNXToUCxfvhz5+fmlMrb87t27ueEOCwoKkJmZiUePHnGjOvj5+WHJkiXcUHxFefPmDTZu3IiNGzfCzs4OTk5OKCgowIMHD5CTkwMbGxt8+eWXxX7/JREYGIht27ahR48ecHd3R0ZGBnejaMyYMejVq5dgeTc3NwwfPhy7du3ClClT0LhxY9jY2CAxMRHOzs4YPXo0tmzZorUfT09PuLi4ICkpCT169ICrqytMTU3RokULzJs3T28Zy/P7NDExEWvWrME333yDJk2aoE6dOsjMzMSDBw8AqM99SYYCJISQ0kTBPCGE6GFlZYWVK1fi4sWL2LNnDy5evIjk5GTk5+fD1tYWPXr0QN++fTF48GCtH5KzZ8+Gj48Ptm7dimvXruH58+do0KAB3nvvPXzyySfceMblRSKRICQkBGvXrsW+fftw584d2Nraok+fPpgxY4ZWVm5ra2ts27YNy5Ytw4kTJ3D//n04ODjgo48+QnBwcKUJ5FktWrTA7t27sWLFCpw5cwaJiYlo2rQpvvnmG4wdOxYHDhwAUL5JB3Xx9vbG3r17sXbtWpw+fRq3bt2CpaUlunTpggkTJugM5AH1UGTh4eFYvnw5Tp48iYyMDLi6uuKDDz7QmRHd19cXBw8exObNmxEVFcUN9+Xg4ICuXbuiZ8+eXHP8khg1ahTq1KmD8+fP4+HDh0hISECdOnXQunVrvPvuuxg+fLjBAVf79u2xbNkybN68GXfu3OGGHXv//fe1lq1Xrx66du2KY8eOlcrY8mlpadyNFQsLC1hbW8PHxwdt2rTBv/71L6Ob1vv6+mL+/PncdXn37l2YmJjA2dkZXbt2xcSJE7XGejfm/ZeEi4sLwsPDsWLFCkRHRyMrKwstWrTA2LFjRcdnB4AFCxbAyckJf/75J9LS0pCfn4+RI0fis88+09mdQyqVYu3atfjpp59w8eJFXLlyRWctvpjy+j6dOnUq3NzccOHCBaSmpiI1NRV2dnbo2LEjPvjgAwwePLhEQwkSQkhpkjC60pESQgipFi5cuIAJEyagY8eOon1Oa4L09HT4+/ujdu3aZd5suaysWrUKISEhCA4OxvTp0yu6OJXOiBEjcPnyZaxdu7ZYSekIIYSQqob6zBNCCKn22AR4ND509ZSYmIjLly+X+djyhBBCSGVCwTwhhJBq4datW9ixY4cgoRzDMNi7dy+XGG3UqFEVVTxSRpRKJZYvXw5AnU+gonMiEEIIIeWFOv0QQgipFjIyMvDNN99w/Xnr1q2LR48eISMjA4A60NNM5kWqrpMnT2L9+vV49OgR0tLSUL9+fUyYMKGii0UIIYSUGwrmCSGEVAvu7u4ICgrCmTNnuARm1tbWeOeddzBixIhSydZOKo/nz58jOjoalpaW8PPzw1dffYU6depUdLEIIYSQckMJ8AghhBBCCCGEkCqG+swTQgghhBBCCCFVDAXzhBBCCCGEEEJIFUPBPCGEEEIIIYQQUsVQME8IIYSUUK9eveDh4YHk5OQKK8OqVavg4eGBVatWVVgZKisPDw94eHhUdDFKbPz48fDw8MCFCxcquijVyty5c+Hh4YGIiIiKLgohhBiFstkTQqqdXr16ISUlxah1GjVqhGPHjpVRicpXREQEUlJS8P7776Nx48YVXRyiw9y5c7Fnzx68//77+OGHHyq6OFqSk5OxZ88eNGrUCMOGDTN6/YiICHz55ZdFLlfSz151ud4vXLiA6OhodOzYEX5+fhVdnGojISEBR44cQcuWLdGnT5+KLg4hhJQqCuYJIdWOl5cXHBwcBNMUCgWuXbvGzTczMxPMt7e3L7fylbU9e/ZwQUFVDm6IcWxtbeHq6gpbW9tS2V5KSgpCQkLQsWPHYgXzLDMzM3h5eemcX9LPniHXu6ura4n2UR6io6MREhKC4OBgncG8o6MjXF1dYWFhUc6lq7oSEhIQEhKC999/X2cwb29vD1dXV9jY2JRz6QghpGQomCeEVDsrV67UmpacnIzevXsDAH7++WcKckm1M27cOIwbN66ii6HF3t4e27dvr9Ay/P333xW6/9KydOnSii5CtTR79mzMnj27ootBCCFGoz7zhBBCCCGEEEJIFUPBPCGkRps6dSo8PDxw9OhRwfSCggK0a9cOHh4e+Pzzz7XW05UwiWEY7N27F+PGjUP79u3Rpk0bDBgwAD/++CMyMjKKVUaGYfDnn39i7NixaN++Pby8vNC5c2cMGzYMS5cuxePHjwGo+9x6eHggOjoaADBhwgQu8ZdmWS9duoSlS5di2LBheOedd+Dl5YXu3bvj888/R2Jiot6ybN++He+99x7atGmDTp06Yfbs2Xj06BEiIiLg4eGBuXPniq77+PFjLFq0CP3790ebNm3Qvn17jB8/vli1pq9evUJ4eDimTp2Kvn37ok2bNvD19UVAQAC2bNmCgoIC0fX4idBOnDiBsWPHol27dvD19UVQUBBu3Lihc58pKSmYM2cO3nnnHXh7e+Pdd99FWFgYGIYxuvyGSExMxOeff45u3brBy8sLnTp1wvTp03Hp0iXR5XUlwOOfF4VCgVWrVqFv375o3bo1unfvjsWLFyM7O1uwzvjx4zFhwgQA6ubf/OuoV69eZfJ+WWVxvetKgMdPXBgdHY2JEyeiffv26NixI6ZNm4akpCRu2aNHj2LMmDHw8fFBhw4dMGvWLDx58kT0PZw5cwbfffcd3nvvPXTs2BGtW7dGnz598O233yI1NVVreQ8PD4SEhAAAQkJCBO+D/3nSlwCvON89Jfk86MI/pufPn0dQUBD8/Py0yp2amopvv/0WvXr1gpeXF/z8/BAUFIQTJ06IbreoJHVi13+vXr24vA179uwRHNfx48cXuW3+Nl+/fo3//ve/6NGjB7y8vNC3b1/88ssvOr9rAODu3bv48ssvBe9xypQpOHfunOjy6enpWLJkCQYMGIDWrVujbdu26NWrFwIDAxEWFqZzP4SQmoua2RNCarQOHTrg2LFjiImJ4ZrhA8CNGze4ACcmJkZrPXZahw4duGkMw2DOnDk4cOAAAKBJkyaoXbs2bt++jQ0bNuCvv/7C5s2b0aRJE6PKuHTpUmzcuBEA4OTkBBcXF6Snp+P27du4fv06fHx80LBhQ9jY2MDHxwe3b99GVlYW5HI5rK2tue3Uq1ePe/7555/j4cOHqFu3Lho0aIAGDRogJSUF+/btw+HDh7Fu3TrRfrvz5s3D7t27AQCNGzdGnTp18M8//+DUqVMYM2aMzvcQHR2NTz/9FK9fv0atWrXQtGlTvH79GtHR0YiOjsakSZPwxRdfGHxMjh8/jvnz58PU1BQNGjSAXC5HRkYGrl27hitXruDMmTP49ddfIZWK37Pevn07FixYgPr168PV1RX379/HqVOnEBsbi127dsHNzU2w/N27dzFmzBhkZGTA3Nwc7u7uSE9Px3fffYc7d+4YXG5DHT16FJ999hkUCgVq164NDw8PpKam4vDhwzhy5AgWLFiAESNGGLXN/Px8TJo0CRcvXoS7uzsaNWqEBw8eYNOmTUhMTOSuMQDc8bx9+zasra0hl8u5eWWdX6IsrveiHDlyBEuXLkXdunXh7OyM+/fv48iRI7h8+TL27NmDyMhILF68GA0bNkSTJk1w7949REZG4saNG9i7dy/Mzc0F25s8eTJUKhXs7Ozg5OQEpVKJ5ORk/PHHH/j7778RFhYGd3d3bnkfHx+kpaUhLS0Njo6OcHR05Oa5uLgUWf6SfvcY+3kwRGRkJFasWAEbGxs4OzujVq1a3LzLly8jKCgIr169gqWlJeRyOV68eIFTp07h1KlT+PTTTzFz5kyj96nJy8sLpqamSEpKQr169dC0aVNuHv+aLsrr168xcuRIPHjwAM2bN4dUKsXDhw+xcuVKpKWlYdGiRVrrHDx4EP/5z3+Qn58PKysruLu74/nz5zhx4gROnjyJefPmCW4ovH79GiNGjMDDhw9hamqKpk2bwtzcHI8fP8aZM2dw+fJljB07tmQHhBBS/TCEEFIDPHr0iJHL5YxcLmcePXrETb9y5Qojl8uZ999/X7D8+vXrGblcznTt2pWRy+XMw4cPuXmpqamMXC5nunfvLlhn69atjFwuZ9q1a8ecPn2am/706VNm1KhRjFwuZwICAowq94sXL5gWLVowvr6+zMWLFwXzcnNzmQMHDjAJCQmC6ePGjWPkcjlz/vx5ndvds2eP4D0xDMPk5+czO3fuZFq1asX07t2bUSqVgvl//fUXI5fLGS8vL+aff/7hpqenpzOTJk1iPD09GblcznzxxReC9R4/fsx07NiR8fDwYNasWcPk5eVx82JjY7ljfOzYMcMOCsMwCQkJzPHjxwXbYhiGefjwITN27FhGLpczERERWuux14C3tzeze/dubvrr16+ZDz/8kJHL5cxnn30mWEelUjHvv/8+I5fLmUmTJjHp6encvAMHDjCenp5Mq1attK6tonzxxRc6j5ePjw8jl8uZRYsWce9RqVQyv/76KyOXyxlPT0+t875y5UpGLpczK1euFEzfvXs3t87AgQOZe/fucfPi4+O5fZ04cUKw3vnz5xm5XM6MGzfO4Pcktt+ePXsavE5ZXe/sedfUs2dP7ths3LiRu+YzMzOZESNGMHK5nJkyZQrj7e3N7Nu3j1svNTWV6d27NyOXy5mwsDCt7f7xxx/M48ePBdNycnK48yd2THWdP0Pea3G/e4rzeSgKe0xbtmzJrFq1isnPz2cYRv05ysvLY7Kzs5kePXowcrmcmTlzJvP69Wtu3YiICKZly5aMXC5noqKiBNtlPy/8cvIVdf1rfs4M2Ta7TU9PT2bs2LGCc3r06FGurHfu3BGsl5CQwHh5eTGtW7dmduzYIfguPXr0KOPj48O0bNlScC2HhoaKfscwDMOkpKQwv/32m87yE0JqLmpmTwip0Vq1agUrKyvcvHkTWVlZ3PSYmBhIpVJMmjSJe81im/Vq1spv2LABADBjxgx07tyZm2dvb48VK1bA1NQUly9f1tnEUszDhw+hUqng7+8PX19fwTxzc3MMGjQILVq0MOIdqw0dOlSrls7ExAQBAQEYOHAgHj16pNWc+7fffgMAfPrpp4Ks0HXr1sVPP/2kM8P2b7/9hoyMDHz44Yf4+OOPBSMJ+Pj4YMGCBQCATZs2GVz+Fi1aoEePHlqjEjRp0gTff/89AGD//v061x8+fLggQ7u1tTXXHPfUqVOCZc+fP4/r16+jVq1a+PHHH1G3bl1u3qBBgzBq1Ci9TW2NtW3bNmRlZaFly5aYN28e9x6lUik++eQTdO/eHfn5+YKadEMUFBTghx9+EGR2b9u2LQICAgAAJ0+eLLX3wJeSkiJo3qz5+O9//8stW1bXe1G6deuGjz76iGvJUbt2bUyfPh0AEBUVhYCAALz77rvc8o6OjggKCgKgfb0AwMiRI7VG1KhVqxY++eQT+Pr6Ijo6WmcTfWOVxnePMZ8HQ3Xr1g3BwcEwMVE3ApVIJDAzM8OBAweQmpqK+vXrY8mSJYLWFO+//z5GjhwJAFi3bl2x9lsWZDIZ/ve//wnOaa9evbjWXJrH6JdffoFCocCcOXMwYsQIQQuhXr164d///jeUSiW2bNnCTWe7dIwZM0bwHQOoW6hMnDixdN8UIaRaoGb2hJAaTSaTwcfHh2tS2r17d6hUKsTFxcHDwwO9e/fG4sWLERMTw/3YvXjxIgBhMH/37l2kpaXB3NxctPmzg4MD+vfvjwMHDuDMmTN45513DCof29z28uXLSE1NhZOTU0nfsqDMkZGRuH37NjIzM7mANC0tDQBw8+ZN+Pj4AACysrJw+fJlABAdpqxOnTro06ePaH/Ww4cPAwAXNGrq2rUrTE1NER8fj4KCAu7Hf1EUCgUOHTqECxcuIC0tDTk5OYL+6zdv3tS57vDhw7WmeXh4wNzcHK9fv0Z6ejo3xBv7Q33AgAGws7PTWm/MmDHYunWrQWU2xJkzZwBAZ5PaCRMm4MSJE9xyhmrZsiVat26tNZ2dlpycbGRJDVPU0HT8m0pleb3rI3Y9tGzZUu/8Vq1aAdB93K5evYpDhw7hzp07yMrKglKpBAA8ePAAgPr61Az4i6M0vnuM+TwYaujQoaLTT58+DUD9faDZPQFQX9/btm1DfHw8srOzYWlpadR+y0LXrl3RsGFDremtW7fG4cOH8ejRI26aQqHAiRMnIJPJdA7p2KtXLyxcuFBwk5i99o8cOYLu3bsb/D1ICKnZ6JuCEFLjdejQAadOnUJMTAy6d++Omzdv4tWrV1zttaOjI1cbD4jXzLO1Ko6Ojjp/fLJ9ZPlJtYri4OCAAQMG4O+//0a/fv3g5+eHjh07wtfXF23bti32D761a9dixYoVUKlUOpfJzMzknj98+BAMw6Bu3bo6AxCxBGNv3rxBSkoKAODrr7/WW6a8vDxkZGSgfv36RZY/NTUVkyZNwv379w0qvyZnZ2fR6XZ2dkhLS0N2djYXvLDnS1e/YRcXF5iYmJRa7Ty7P36far7mzZsDAJ4/f46srCxBzaY+uvpLszco3rx5Y2RJDWPM0HRldb0XRex64N+4EZvPXh+ax41hGHz33XfYtm2b3n3quz6NURrfPcZ8Hgyl6/NS1PXt4uICU1NT5Ofn4+HDh2XSEsNYRX12+Akkk5KSkJeXB1NTU0yePFl0PfamI791xrBhwxAaGoqIiAicPHkSXbt2ha+vL/z9/Y3Os0IIqTkomCeE1HhsUM7WkrDBeseOHQEA7du3x/79+5GWlgYTExMkJSXB3t5e0FyZ/UGvL+kWG6Tyf/zv2rWLSyjHxzanBtQJwdzd3REeHo7Tp09zNVt2dnYICgoSNA82RExMDH766SfIZDLMnj0bvXr1gpOTEywsLCCRSLB8+XKsWbNGEJyyP1atrKx0bldsHr/rQlxcXJFly83NNeg9zJ07F/fv34e3tzemT5+Oli1bok6dOjA1NUVBQQE8PT31Bte6gh72OPJr+Nn3riuYkUqlsLW1xbNnzwwqe1HY/em6lvjT37x5Y3AwX9R7rixK+3o3BD85G0sikXDPxbqQ8Ofz7d27F9u2bYOlpSU+//xzdO7cGQ4ODtw+5syZg/3795fazZ/ifvfwGfN5MJSubjdFXd8SiQR2dnZ48uRJmd1gMpYxx+f169cA1Akni/rOy8vL4547ODhgx44d+PnnnxEVFYU9e/Zgz549ANTdYebOnYt27dqV6H0QQqofCuYJITVe69atUatWLVy7dg3Z2dmIiYmBRCLh+ux27NgR+/fvR3R0NExNTQEIa+WBwkD2xYsXOvfz/PlzwbKAukm72A8+/nbMzc0xffp0TJ8+HXfv3sXFixdx/PhxnDhxAkuXLgUABAYGGvx+2b7kgYGBmDJlitZ8dugvPvbHrOYQZnxiP7z5P4KvXbvGHb+SePLkCS5cuAALCwusW7dOq38p202gtLDvIT09XXS+SqUq9rCDuvb3+vVrvHjxQrTGlH9t6Lu5UlWV9vVe3tjP1xdffIFRo0ZpzRf7fJVEcb97Kgr7edJVXoZh8PLlSwDC8rI3T3TdWND33VSe2DI7ODgYnYfCzc0NK1euhEKhQHx8PGJiYhAZGYlLly5h0qRJ2L9/Pxo3blwWxSaEVFGV63Y8IYRUAFNTU7Rt2xYFBQWIj49HbGwsmjdvzjWhZAP36Ohorva+ffv2gm2ww0elpaXprE1ihzDjDzU1ffp03Lp1S+uhq6+lm5sbRo4ciTVr1uDbb78FAOzcudOo98s2e9dVyyPW19zZ2RlSqRTp6el4+vSp6Hq3bt3SmmZjY4MGDRoAQKkN4caO092sWTOtQF5XOUqCPV/37t0Tnf/gwQPk5+eX+v50Ha/ExEQA6tpWQ2vli0NXzXN5Ko3rvbyxfejFPl/5+fm4e/eu6HrFPd7F/e6pKEVd30lJScjPz4dMJhPczGJr+tlAX9PDhw9Fp5f3ddy0aVOYmpri2bNnxb7JZ2ZmBj8/PwQHB+PAgQPw8fFBdnY2IiMjS7ewhJAqj4J5QghBYcAeFhaG9PR0Qc27q6sr7O3tERMTwwXzbBN8lpubG5ycnJCXl4fw8HCt7T958gSHDh0CAHTp0qVUyty2bVsA0Aqu2ea8upqss0mnxGrGTp8+LRrMW1tbw9vbGwC4pp98r1+/xtGjR0X3169fPwDA5s2bRecbi31/L168EK2lYzN7lxb2fP3999+itfNF9Y0u7v7CwsJE57PJ9krrOtKlqOuovBX3ei9v/OtTU0REhM5glP1cGvs+KuK7pyTYMoSHhwuambPY69vHx0fQsoftN3716lWtdR4/fsx1x9BU3ONaXBYWFujSpQtUKlWpJMaUyWRckkpdN1IJITUXBfOEEILCYP7YsWOC16z27dvjwYMHSExMhK2trVbyJolEwjX9XbVqlWAIqOfPn2PWrFnIz89H27Zt4e/vb3C5zp07hyVLlmjVYr1584YLWj09PQXz2B+9/EzJfGz3gXXr1gmyMF+5cgVfffWVaIZpANzQSKtXr+aOE6BO5PXvf/9bZzPXyZMno27dutizZw8WL16MV69eCeZnZGRg165dWL16tej6mtzd3VGnTh08fvwYv/76KxfQ5+XlYdGiRbhx44ZB2zHUO++8g1atWiEnJwf/+c9/BInLDh48iO3bt5dqYrbRo0fD2toaCQkJ+P7776FQKACom/OvX78eUVFRMDU1xUcffVRq+xTDNue9c+eOzgC0tJXF9V7e2M/XihUrBMft5MmTWLp0qc7PF/s+2FEdDFVW3z1lZfDgwXBycsLz588xd+5cQWuCvXv3YseOHQCglTyuW7duAICjR4/ixIkT3PSnT59izpw53GgBmvg3AXJyckr1vegyc+ZMmJmZ4ddff8W6deu0biQ8ffoUmzdvFiSGXL58OcLDw7W+H2/fvo2//voLQOEICoQQwqI+84QQAnWtH5tBGdAO5jt06MD9oOrQoYNo082xY8ciPj4eBw4cwMSJE9G0aVNYW1vj9u3byM/Ph5OTE/73v/8ZVa43b95g48aN2LhxI+zs7ODk5ISCggI8ePAAOTk5sLGx4caDZg0cOBBhYWFYv349/vnnH9jb20MikWDy5Mno1q0bRo4cie3bt+Phw4f417/+BVdXV+Tn5+P+/ftwd3fHwIEDuTHl+QYMGIAPPvgAu3fvxtSpU9GkSRPUqVMHd+7cgbm5OQIDA7FmzRqt5GQNGzbE6tWrMW3aNGzatAlhYWFwdXWFhYUFXr58ieTkZDAMg4EDBxp0TExNTTFz5kx89913+Pnnn7Ft2zY4ODggKSkJb968wcKFCzF//nyjjrM+EokES5cuxbhx43Dy5El069YN7u7uSE9PR0pKCsaMGYMTJ05w3RdKysHBAUuXLsXMmTOxefNm/Pnnn3B2dkZqaipevHgBqVSKr7/+usyzfNvZ2cHf3x/nz59Hnz594O7uDnNzc9SvXx/Lly83eDvPnj3D6NGj9S6zYcMGWFlZlcn1Xt6CgoIQGRmJy5cvo2fPnnB1dcWrV6+QkpICPz8/NGjQgOtXz9elSxfUqVMHsbGx6NGjB5o0aQITExN07dpVNLcFX1l895QVCwsLrFixAoGBgTh48CCioqLQrFkzvHjxgst3MXXqVC4BKMvNzQ3Dhw/Hrl27MGXKFDRu3Bg2NjZITEyEs7MzRo8eLRi3neXp6QkXFxckJSWhR48ecHV1hampKVq0aIF58+aVyXts2bIlfvrpJ3z++edYtmwZQkJC0KxZM675Pfs++TcsEhMTsWbNGnzzzTfcd2tmZiY3lKGfnx+GDBlSJuUlhFRdVDNPCCFQN8Vs06YNAHVfbM3h0fjN6jX7y7MkEgn+97//YcmSJWjfvj1evHiBxMRENGrUCIGBgYiIiDB6iCFfX1/Mnz8fPXv2hKWlJe7evYuUlBQ4OzsjKCgIf/31l1ZNZfv27bFs2TK0adMGT58+RUxMDKKjo7kkWNbW1ti2bRuGDh0Ka2tr3L9/H/n5+fjoo4+wY8cOvUmyFi1ahG+//RZyuRxPnjxBamoqevbsifDwcK5vvNj6vr6+OHjwID755BO4ubkhOTkZt27dglQqRdeuXfHtt98a9cN67Nix+PHHH9GyZUtkZGTg4cOH8PLywrp163SOZ18SzZs3x65duzB48GDUqlULiYmJsLKywtdff41vvvmmWNtkaxLFkgL27t0bERERePfdd2FmZoabN2+CYRj07dsX27Ztw8iRI0v0fgy1bNkyDBs2DNbW1rh+/Tqio6Nx+fJlo7ahUCgQFxen98Eei7K43subk5MT/vjjD/Tr1w+mpqa4d+8el9Rvw4YNOltxWFtbIzQ0FN26dUN+fj4uXbqE6Ohonbka+Mriu6cseXt7Y+/evRg5ciRsbW1x69YtZGdno0uXLli3bh0+++wz0fUWLFiAGTNmwNnZGU+ePMHLly8xcuRI7NixA7Vr1xZdRyqVYu3atejfvz9kMhmuXLmC6Oho0e5Epalv376IjIzEhAkT0KhRI9y/fx937txBrVq10LdvXyxZskRwk2bq1KmYMmUKWrdujezsbCQkJCA3NxcdO3bEkiVLsHHjRhp7nhCiRcIUZ7wRQgghRMPChQvx+++/48svv+Sa5BPdPvnkExw/fhyBgYH4z3/+U9HFIYQQQkgVQzXzhBBCSuzNmzdcki0fH58KLk3VcPv2bQDq5sOEEEIIIcaiYJ4QQojBNm3ahISEBMG0J0+eYMaMGXj27Bk8PT257gpEt02bNiElJYXrE00IIYQQYizqfEMIIcRgR48exeLFi2FjY4MmTZpAoVDg3r17UKlUsLW1xQ8//FDRRazUAgMDcevWLTx79gyAOlkam2uAEEIIIcQYFMwTQggx2IQJE1C7dm3cuHED9+7dA8MwcHZ2RteuXTF58mQ4ODhUdBErtStXriA/Px+enp4YOXJkuSWyI4QQQkj1QwnwCCGEEEIIIYSQKob6zBNCCCGEEEIIIVVMtWtmn56eXtFFIKRM1KlTB5mZmRVdDELKFF3npKaga53UBHSdk5qgrK5zW1vbIpehmnlCqgiplD6upPqj65zUFHStk5qArnNSE1TkdU6fMEIIIYQQQgghpIopcTC/fv16eHh4wMPDA5cuXRJdJisrC4sXL0bPnj3h5eWFnj17YvHixcjKytK53f3792P48OFo27YtOnTogMmTJ+Pq1aslLS4hhBBCCCGEEFLllSiYv3v3LlauXAlLS0udy2RnZ2PcuHHYtGkTXF1dMXHiRLi5uWHTpk0YN24csrOztdZZs2YN5syZgxcvXmDUqFH417/+hbi4OIwePRoXLlwoSZEJIYQQQgghhJAqr9gJ8JRKJb744gu0aNECLi4u2Ldvn+hyGzZsQEJCAoKCgvD5559z01euXIlffvkFGzZswIwZM7jpSUlJWLVqFVxcXLBr1y7Y2NgAAMaPH4+AgADMnz8ff/31F0xMql3uPkIIIYQQQgghxCDFrplfv349bt68ie+//x4ymUx0GYZhEB4eDktLS0ybNk0w7+OPP0adOnWwa9cu8Ie6j4iIQEFBAaZOncoF8gDQvHlzDBkyBA8fPsT58+eLW2xCCCGEEEIIIaTKK1Ywf/v2bYSEhGDq1Klo3ry5zuWSkpLw9OlT+Pj4aDXFNzc3R/v27fHkyRM8ePCAmx4dHQ0A6Ny5s9b2unbtCgCIiYkpTrEJIYQQQgghhJBqwei26gUFBZg7dy7c3NwwZcoUvcuyQbqLi4vo/KZNm3LLscskJSXB0tIS9vb2OpdPSkrSuc86derQMBik2jJkvElCqjq6zklNQdc6qQnoOic1QUVd50YH82vWrMGtW7ewc+dOmJqa6l329evXAABra2vR+ex0djlAnfnezs5O7/L6suBnZmbqLRMhVZWtrS3S09MruhiElCm6zklNQdc6qQnoOic1QVld54bcIDCqCvvmzZtYs2YNJk2aBE9Pz2IXjBBCCCGEEEIIIcVnVDD/xRdfoEmTJpg+fbpBy7MJ7HTVpLPT+YnurK2tBTX1YsvrquknhBBCCCGEEEJqAqOa2d+8eRMA0Lp1a9H5I0eOBAD88ssv6NOnT5F93Nk+9exygLp/fXx8PJ49e6bVb76oPviEEEIIIYQQQkhNYFQwP3z4cNHpFy9eRFJSEnr16gU7Ozs0atQIgDrobtCgAeLi4pCdnS3IaJ+Xl4eLFy+iQYMGgmC+Q4cOiI+Px5kzZzB06FDBfk6dOsUtQwghhBBCCCGE1FRGBfP//e9/RafPnTsXSUlJ+Pjjj9G2bVtuukQiQUBAAH755Rf88ssv+Pzzz7l5a9euRWZmJqZNmwaJRMJNHzZsGDZu3Ihff/0VvXv35prgJyYmYu/evXB2doa/v78xxSaEEEIIIYQQQqoVo7PZGysoKAjHjh3Dhg0bkJCQAE9PT9y8eRMnT55Ey5YtERQUJFje1dUVwcHBWLFiBd577z30798f2dnZiIyMREFBARYuXAgTkzIvNiGEVH1KZUWXwHhKpbDcMlnFlYUQQgghpBIr86jY0tISW7duRUhICA4dOoTo6GjUr18fEydORHBwsKDpPWvq1Klo1KgRNm/ejO3bt8PU1BTt2rXDjBkz0KZNm7IuMiGEEEIIIYQQUqlJGIZhKroQpYnGsiTVFY3VSoxWBWvmta5zqpkn1RR9p5OagK5zUhNUmXHmCSGEEEIIqWoOHDgAf39/HDhwoKKLQkiVN3ToUK1E5ZWZv78/pk6dWtHFKBPU+ZwQQggh1YokLa2ii6AT4+hYovVTU1MxbNgwwTQTExPY2dmhbdu2GD9+PJo3b16ifdQk/v7+aNeuHX799dcy3c/ly5exY8cOXL16Fenp6bCwsICdnR08PDzg5+eHQYMGlen+K6tLly7hxIkTiIuLQ1paGnJzc+Ho6IiuXbviww8/5BJhl7byOu9lbejQoXj8+LHeZf755x+jj+N3332HgwcPIiIiAk5OTiUpYrmYOnUq4uPjcf78+YouSrmjYJ4QQmqKkjS7L68m+wqF+sEypJl9SZriUzN+UkU1btwY/fv3BwDk5OTg2rVrOHz4MKKiohASEkI5hjT06NEDXl5eqF+/frnv+8CBA/jvf/8LmUyGTp06oUmTJsjLy0NKSgrOnj2L+Pj4GhvMf/XVV8jMzESbNm0wcOBAAEBcXBx+//13REVFYd26dbCzs6vgUlZuMpkMEydO1DnfzMys1PcZEhJS6tssS3/88Qdq1apV0cUoExTME0IIUdMXsJdXMK+Zzb4kKFAn1Vjjxo0xefJkwbQ1a9Zg06ZNWLNmDVavXl1BJaucrK2tYW1tXe77zc3NxU8//QRLS0usW7cObm5ugvkFBQWIjY0t93JVFqNGjcLAgQMFN1kYhsGPP/6IiIgIhIaGCoa2JtpkMpnWd0FZa9y4cbnur6RcXFwqughlhoJ5QgghhJBqICAgAJs2bUJCQgI3jW1OvGDBAqxZswbnz59Heno6QkJC4OvrCwCIjIxEREQE7t27BwBo1qwZhg0bplVbHBsbi2nTpiEwMBDt27fHunXrcPPmTZiamsLf3x/BwcFo0KCBVrlevnyJLVu24PTp03jy5AksLS3Rrl07TJ48WSu4Zfvhbt++HWvXrsXRo0eRkZEBZ2dnBAYGolevXoLls7KysG3bNhw7dgxPnjyBVCpF/fr14eXlhSlTpsDBwQGAunZ80aJFmD9/PgYPHsy9FwCIj4+Hv78/t8358+cDABYtWoTg4GCMGzdO6z2dPXsWs2bNwogRIzBr1iyd5+Tu3bvIzs5Gt27dtN4roO4i4efnJ7ruyZMnsXv3biQkJCA3N1fQlYK/rczMTPz22284ceIEnj9/Dmtra/j4+CAoKAiurq6CbbLNp3fv3o2TJ09i3759SE5ORt++ffHNN98AMO58PXz4EJs3b0ZcXBxevHgBCwsLODg4wNfXFzNnztR5XFgTJkzQmiaRSDBp0iREREQgPj6+yG3wxcbGYuvWrbhz5w4yMzNRp04dNGnSBAMGDMCQIUOKPO+DBw9GVlYWIiIicO7cOTx69AgZGRmoW7cuOnTogMDAQNFANiMjA7/++itOnjyJ7OxsNGvWDB9++CGysrIE1x1fYmIiNm/ejPj4eGRmZqJ+/fro0qULJk+ejDp16hj1vg31/PlzbNmyBWfPnsWzZ89gbm4Oe3t7eHt7Y9q0abCyshI03ed36eF3S2A/p3/++Sc3f/369QgNDcUvv/yCtLQ0bN++HcnJybCzs8OoUaMwcuRIMAyDnTt3IiIiAmlpaXBwcMCkSZPwr3/9S1DOhw8fYu/evYiJicHjx4+Rm5sLBwcH9OjRAx999JFgNDT+OeQ/HzhwIHdN6+pWUZzPTkREBM6ePYvw8HCkpaXBzs4OAQEBGD16NKTS8k9HR8E8IYQQQkg1IJFIRKe/evUKkydPRu3atdGnTx/k5+fDysoKALBixQr88ccfsLe3x7vvvguJRILjx49j4cKFSExMxGeffaa1vevXr2PLli3o1KkTRowYgVu3buHw4cO4fPkyNm7ciHr16nHLJicn49NPP8WzZ8/g5+eHbt26IT09HcePH8eFCxewatUqeHl5CbavVCoxY8YMvHr1Ct27d0deXh7++ecfzJs3DytWrOCCX4ZhMHPmTFy/fh1t2rSBv78/pFIp0tLScOLECQwcOJAL5jU5OjoiMDAQoaGhaNiwoeDGhVwuh7OzM1asWIF9+/aJBvN79+4FALz33nt6zghQu3ZtAOpcByqVyuAf+6tWrUJYWBhq166N7t27w9bWFk+ePEFMTAxatGjBBdWZmZkIDAxEcnIyfHx80LdvX6SlpeHYsWM4e/YsVq5cidatW2ttf9myZbh27Ro6d+6Mzp07c03ZjTlfz549Q2BgIHJyctC5c2c4OzsjJycHjx49Qnh4uEHBvC4mJuoQRWZEC6szZ85gzpw5sLGxQdeuXVG/fn2kp6cjMTERhw4dwpAhQ4o87wCQlJSE9evXw9fXF927d0etWrXw4MEDHD58GGfOnMHmzZvhyMt9kZ2djalTp+L+/fvw9vaGt7c3nj17hm+++QYdO3YULevJkycxf/58SKVSdO3aFQ0aNEBSUhJ27dqFCxcuIDQ0lLt2Sktubi6mTJmCtLQ0+Pn5oXv37igoKEBKSgoiIyMxbtw4WFlZYdSoUYiMjERiYiJGjhzJtWhxNDDfx44dOxAXF4du3brB19cXx48fx/Lly1GrVi0kJibi2LFj6Ny5M3x9fXHkyBEsWLAAjo6OaNu2LbeNqKgo7N+/H76+vvDx8QHDMLh27Rq2bt2K+Ph4rFmzhrtGAgMDERkZicePHyMwMJDbBns+dSnuZyckJARxcXHo3Lkz/Pz8cPLkSaxatQqvXr2qkCR7FMwTQgghhFQDO3fuBAC0bNlSMP3u3bsYPHgwvvzyS0FwdOnSJfzxxx9wcXHBhg0buB/tkydPRmBgIP744w/06NFD8CMbAM6fP4+vvvpKEMiGhoZi/fr1WLNmDebNm8dNX7BgAV68eCEIwgHgo48+wsSJE7F48WKEhYUJtv/s2TO0bNkSq1evhqmpKQCgX79+mD59OrZv385t5+7du7h+/Tq6d++OJUuWCLahUChQUFCg81g5OTlh8uTJCA0NhaOjo2gz5QEDBmDXrl2Ij49Hu3btuOkvX77EmTNn4OnpCXd3d537ANTNkT08PHDr1i1MmzYNgwYNgqenJ5ydnXUGqmfPnkVYWBjc3NywevVqQS1tQUEBMjMzudchISFITk7Ghx9+KAgkBg0ahM8++wzfffcdduzYoXUT4c6dO9iyZQsaNmwomG7M+Tp+/Dhev36Nf//73xg5cqRgOxkZGXqPS1H2798PADqDYV3rMAyDX375RSsJJHvMDDnvLi4uOHDggFbteGxsLKZPn47ffvsNX331FTd969atuH//PoYPH445c+Zw0wcPHsy1AtAsy4IFC1C3bl2sW7dOcA4OHz6Mb775BuvWrRNsSx+lUon169eLzqtXrx5Xux4TE4PU1FSMGjVK6ybdmzdvuL71o0aNwu3bt7lg3tgEeJcuXcLmzZvRqFEjAMDYsWMxfPhwrFq1CnZ2dggLC+OGXBs0aBACAwMRFhYm+J4ZMGAARo8ezX3+Wez3zJEjRzBgwAAA6u+ruLg4PH782KjuBsX97Ny8eRO///471zVk0qRJGDFiBMLDwxEUFKRV5rJGQ9MRQkhNx/ZTr64PQqqh5ORkrF+/HuvXr8fKlSsxZcoUbNq0Cebm5lq1Q6ampggODtYKHiMjIwEAQUFBgv7k1tbWCAoKEizD17RpU7z77ruCaWPHjoWtrS0OHz6M/Px8AMCtW7dw9epVDBw4UKspubOzM4YMGYK7d+/i7t27Wvv47LPPBD+KO3TogIYNG+LGjRtay5qbm2tNMzMzEzTFLQ62KfG+ffsE0w8ePIiCggIMGTKkyG1IJBJ8//33aN26NeLj47Fo0SKMHj0avXv3RnBwMA4cOAClxvfUrl27AACzZs3SCihNTEy4lg/5+fk4fPgw6tSpg48++kiwnL+/P/z9/fHo0SNcuXJFq1xjx47VCuSLe77Ejn/dunX1HBX9bt++jdDQUNja2mL8+PFGry9WHmOarVtbW4su7+vrC1dXV8TExAim//333zAzMxPUCrPL85t9sw4ePIg3b95g6tSpWuegX79+8PDwwJEjRwwur1KpRGhoqOhjz549WsuLHR8rK6tSC0JHjBjBBfIA4ODgAG9vb2RlZWHixImCsdM9PT3RqFEjJCYmCrbRoEED0fIMHz4cALTOgbFK8tmZNGmSIMdD3bp10bt3b2RnZ+PBgwclKldxUM08IYRUFcYGpprL61qfnV5eCfAoMR0hJZacnIzQ0FAAhUPT9evXDxMmTNCqLXZychINrm7dugUA8PHx0ZrHTtP8kQ0Abdq00WrSX6tWLXh4eOD8+fN4+PAh3NzccO3aNQDqmmyxmkP2h++DBw8EfbFtbGxEawMbNGjAbRNQ16C6ubnh8OHDePr0Kbp164a2bdvCw8PDqObZuri7u6N169Y4duwYZs+ezd3w2L9/PywtLdGnTx+DttOoUSOsX78et2/fRkxMDG7cuIGrV6/i4sWLuHjxIv766y8sX76cqxm9ceMGzMzMBK0BxCQlJSEvLw8+Pj6imbp9fHxw/vx5JCYmarWu8PT01Fre2PPVpUsXrF69Gv/73/8QExMDf39/eHt7w9nZ2aDjIiY1NRWzZ8+GSqXCokWLtK5bsXKNGjUKNjY26N27N6KiohAUFIS+ffvC19cXbdu2LVY2/NjYWOzYsQPXr19HRkaG4IYLP8h88+YN0tLS0KxZM0GQymrdurXWcGnscb5+/TqSk5O11lEoFMjIyOD66hfFzMwMJ0+eLHK5du3aoV69etiyZQsSExPRqVMneHt7w93dXWcXneIQa97O3oASGzazXr16uH79umAawzA4cOAAIiMjce/ePWRlZUGlUnHznz9/XqIyluSz4+HhobU8250nKyurROUqDgrmCSGkJtBXS13ewbw+xtSm000BUoP5+/tjxYoVBi2rK5jJzs6GVCoVDULs7OwglUpFf5yKLc/fD7vOq1evAKj7Mp85c0Zn+XJycgSv2f78mmQymeAHvYmJCX755Rds2LABUVFRWLlyJQB1TVlAQAAmTpxY4qB+yJAhWLRoEf7++28MHz4cly5dwoMHDzBkyBCja/7lcrkg0ImNjcX//d//ITY2Frt378bo0aMBAK9fv4a9vX2R/evfvHkDQPf51TwfYvP4jD1fTk5OXNKzc+fO4ejRowDULTemTJmC3r176y2/prS0NHz66afIyMjA4sWLuQSNfOwNLL5BgwbBxsYGffv2hYmJCXbs2IE///wTu3fvhkQigY+PD2bOnFlkH2rW0aNHMX/+fFhYWMDf3x+Ojo5cwMf2zWax50BX0K3vOLMtMHTJyckpUQsHTdbW1li/fj02bNiA06dP4+zZswDUN8kmTJjA1XqXlNjnl/0c6pqn2Tpl2bJl2LVrFxwcHNClSxfUr1+fu4kSGhoKBX8I22IoyWdH7D2w/fc130d5oGCeEEJqMn7wrC+oL+F/nAL6flzXqgXwf9jrW5adp2sZdrrYGLtlMO4uIVWNpaUlVCoV0tPTtX7Uvnz5EiqVSvSHa3p6uuj2Xr58CQBcDTa77uzZsxEQEFCaRefUrVsXc+bMwezZs5GUlITY2FiEh4dj/fr1MDExwYcfflii7ffp0wc///wz9u3bh+HDh3NN7g1pYl8UX19ffPzxx1i0aBEuXrzIBfM2Njbc8dcX0LPHlz3umtjpum6O6NqeMeerefPm+OGHH1BQUICbN2/i3Llz2LlzJ+bPn4/69eujR48eBm0nNTUV06ZNw/Pnz/H999+jS5cuostp1nJr6tmzJ3r27Ik3b97gypUrXCK1mTNnYufOnbCxsSmyLBs2bICZmRk2bdqk1cpAs/k7e8x05QgQOzfsOmxehPLk5OSEb775BkqlEnfv3sWFCxewc+dO/O9//0Pt2rXRr1+/ci2PmJcvX2L37t1wd3fHhg0bBDXnL168EL2hY6zS/uxUJOozTwip/iq6z3ZV6Ptd0e+tqh0vQqoBtrloXFyc1jx2SDCx2swrV66AYRjBtNzcXNy6dQvm5uZcAMQ25b569WqplluMRCKBq6srhg8fztXQnzp1qsj1pFKpoLZfU61atdC/f3/cvn0bcXFxOHbsGNzd3dGqVatSKbdYE99WrVpBoVAUOSybi4sLzM3NuaHrNOk7h2JKcr5MTEzg5eWFyZMnY9asWWAYRm/tPl9qaiqXQX/RokXo1q2b0fvXZGVlhXfeeQdffvklBg0ahPT0dEFTbn3nPSUlBS4uLlqB/LNnz7SaxVtZWcHR0RHJycmiN7nEjmV5fi50kclkkMvlGD9+PBYuXAhA+Hlha9L1fTbKSmpqKhiGQYcOHbQ+H5cuXRJdhy2voTXjpf3ZqUgUzBNCSE1W0QE3BfWEVJiBAwcCUDdbZZudAuomqGztF7sM34MHD7hs46ywsDCkp6ejX79+XHNYT09PeHp64p9//sE///yjtR2VSiV6I8FQqampuH//vtZ0tlZNLNGXptq1a+Pp06d6l3n//fcBAN9++y1yc3ONqpVPTU1FeHi44PiycnJysGPHDgCAt7c3N51t7vzTTz8JMtcD6mz2L168AKDuu923b19kZGRg8+bNguWio6Nx7tw5NG7cGG3atDGorMaerxs3bojWbBpz/PmB/MKFCw2uyRcTExODvLw8g8qj77w3bNgQycnJ3HEGgLy8PCxdulQ0WOzfvz8UCoVWjXFsbKxoS4LBgwfD0tISa9euxb1797Tm5+bmCnJDlJa7d+8iLS1Na7qu4wOgyM9GWWCTAl69elVwM+Hp06dYvXq16DrGlre0PzsViZrZE0JqlpoS3Ik1PRcLbhUK7cBX7BixzexL4/iVRjN7mUzYzF7X++X/FZtX3HISUg20a9cOAQEBCA8Px5gxY9CzZ08wDIOoqCg8efIEI0aMEE3C5ufnhx9//BFnzpyBi4sLbt26hfPnz8PBwQGffPKJYNmFCxfi008/xddff40dO3agRYsWMDMzw5MnT3D16lVkZGQYlLxLTGJiIr744gu0atUKzZo1Q7169fDs2TOcOHECMpkMY8aMKXIbvr6+OHr0KL788kvI5XLIZDJ06tRJkETQzc0NrVu3xtWrV2Fubs4NiWWIrKwsLFu2DCEhIfD29kazZs1gbm6OZ8+e4fTp03j16hVatGiBESNGcOt06tQJY8eORVhYGAICAtC9e3fY2dnh2bNniImJwdixYzFq1CgAwLRp0xAfH4/ffvsNV69ehaenJzdWdq1atbixzA1lzPk6dOgQdu/eDR8fHzRu3BhWVla4f/8+zp07h7p162qNeCDm008/xePHj+Hl5YU7d+7gzp07WssYOtzYypUr8eTJE7Rr1w6Ojo6QSCS4fPkybty4gdatWwsCM33nPSAgAMuWLcOHH36Inj17QqlUIjo6GoC6W4FmUsjx48fj+PHj2LVrF+7cuQNvb288ffoUR48eRZcuXXD69GnBObC1tcXChQvx1VdfYfz48fD390fTpk2hUCiQlpaG+Ph4tGnTxuCcGPqGpgPUOQWcnJwQExODlStXok2bNmjatCnq1KmDlJQUnD59Gubm5oI+876+vggLC8OSJUvQq1cvWFhYwMHBAf379zeoTCVRv3599OzZE8ePH8fEiRPRoUMHbjhIX19fpKSkaK3j6+uLY8eOYd68eXjnnXdgbm4ONzc3dO7cWed+SvuzU1EomCeEEEIIqaFmz54NDw8PRERE4M8//wQANGvWDJMnT8bgwYNF1/Hy8sLEiROxdu1a7Nixg6vlCg4O5rJWs5ycnLBlyxZs374dJ0+exP79+yGTyVCvXj20bdsWvXr1KnbZW7ZsiQkTJiAuLg5nzpxBVlYW6tWrBz8/P4wdO1Y0Y7umWbNmAVDXop44cQIqlQp2dnZaIwIMGjQIV69eRc+ePQ3qd81ycXHB4sWLceHCBVy/fh1///03Xr9+DSsrK7i6uqJHjx4YNmyYVi329OnT4eXlhV27duH48eNQKBSoV68e2rdvLxh73dbWFqGhodi4cSNOnjyJS5cuwdraGt26dUNgYKDRfbKNOV99+/aFQqHAlStXkJCQAIVCgQYNGuCDDz7A2LFj0aBBgyL3xyaTu3btms7aaEOD+QkTJiAqKgq3bt3ChQsXYGJiAicnJwQHB+ODDz4QJEPUd96HDx8OExMThIeHY9++fbC2tkanTp0wdepUzJs3T2u/VlZWWLNmDVavXo1Tp04hISEBrq6u+O6777hgWbPvdefOnbFlyxb8/vvviImJQXR0NCwsLGBvb4/BgwcbdcOIHZpOFx8fHzg5OcHPzw8BAQGIj49HVFQUcnJyYG9vjz59+mDcuHFwdXXl1unUqROCg4Oxd+9ebN26FQUFBWjXrl25BPMA8PXXX8PR0RHHjx9HeHg4HBwcMGrUKEyYMEE0n8KQIUOQlpaGI0eOYNOmTVAqlRg4cKDeYL60PzsVRcJodnqq4nQlZSGkqrO1taXru7j4tbA1qWZe832ztfB8laxmXus6L0nNPJvkzsJC9zxDEuwRUgaq4nd6bGwspk2bhsDAQIMDrOpi6dKliIiIwK+//lrkkHGkUFW8zkvTt99+i0OHDmH79u2CYJlUL2V1nesaOYSPauYJIaQ6EbtxwQbq/GCe/asrmBcL+nXNM5a+IFkqBfh9RHUF6mLBvK7s9rrWL075CCE1Tnp6Ov766y+4uLhQIE9EPX/+HPXr1xdMi4uLw5EjR9C0aVMK5EmZoWCeEEJqGrHAXTPQr6hgXqEQDoNnaDAvNtQc//1QgE4IMdKZM2dw69YtHDt2DDk5OQgMDKzoIpFKatasWTA3N0fz5s1hYWGB+/fv4/z585BKpVyTfkLKAgXzhJCaoyZkNxcLyDUDdv48dpoxwXxJh6rRdw4MCeYNqXknhJASOnr0KA4ePAh7e3tMnToVffv2regikUpq4MCBOHToEI4cOYI3b97AxsYGXbp0wYQJE+Dl5VXRxSPVGPWZJ6SKqOn9zgymL3N5TQnm2ZrosgjmVSrdwbyhQb6e7LC2deognd/MXirVXp7frJ6tlTcz025mz+8zrxnws/3o9TXBN7Z5PiFGoO90UhPQdU5qAuozTwghpU2k77gkObl6BfO6blzwgnLG0VE7mOcH7mLTxAL2ggLd8/RNF6NvqBeJBMjOLnxtYiJcng3u2Qe/eb1mEM7+Le7QdPpQUE8IIYSQCkbBPCGk5qrqgX1plp/ffF4sMNc3T990Y2lup6htarY00JzH/8uiQJwQQggh1QAF84SQ6kczuGObiOfkaDcxr8rEAli2eT37V1/iOn4gzA+iq2swT0E8IYQQQqoRCuYJIdUXG8yyAW1mZmFzcpWqsOl4VaUZ6LJNz1UqdfN0lQrIyhIG9jKZMMBnj0dBgf6Avbya2RcUaJ8Xfc3s+TST5VEwTwghhJBqjIJ5Qkj1xw/q8vPVQadCURjA8oPYqkRfMM/2Jc/MFCbDYxO/EUIIIYSQKo2CeUJI9aY5RBsbwBcUqAP6opqX81W2YF8smGdr5Nna7devCwN8QDvbfV6eenpVqZk30fhvi90v1b4TQgghpIahYJ4QUn3xs7gD6lp5fjDPPqpqMK+JDXrF+pxrBvNA4fEAhK0UKjKYNzUV5jJQqYTLs6/5rRDYh1Sqfm9sqwT2r1giPF35BgghhBBCqggK5gkhNYtmwMoP6PmBva51Kzu2Zp4NZLOzC4NefrAvlQprwStLMF9UzTz7mt8Kgb9vfssDQgghhJBqjIJ5QkjNoRm4s8nxNIN5XUFpVQnmgcIAuKBAGMyz75EfCAPagbzmcdAM5sWy3Zd3zbxmWfnTpFJhQK/5XHMsev5zzUR6+tBNA0IIIYRUEArmCSE1j1jNPPtg+9Gzy2muV9mxwbxCoQ5orawKg2F+sMtiA2fNmnnNVgrlFcwrlcCbN8L3o9lnng3mzczUr9kHW1vPPvi19WxLBZlM/Zya2RNSoxw4cACLFi3C/PnzMXjw4IouDiFV2tChQwEAf/75Z4WWw1D+/v5o164dfv3114ouSqmjYJ4QUr3x+4jrCt75z9nXgHZAW5WCeTbQtbISBsCAdpDOT5BnLEPzDRizPX3HXHOe5s0FsWmaY9EXNS59cdCNgEolLU1S0UXQydGRKdH6qampGDZsmGCaiYkJ7Ozs0LZtW4wfPx7Nmzcv0T5qkvL6kX/58mXs2LEDV69eRXp6OiwsLGBnZwcPDw/4+flh0KBBZbr/yurly5fYv38/bt68iZs3byItLQ0AcP78+TLdb3UJ7oYOHYrHjx/rXeaff/6BjY2NUdv97rvvcPDgQURERMDJyakkRSwXU6dORXx8fJlfN5URBfOEkJpJV7NyzcCQ33+7KgTzLH4ze/a1VFrY8kAzsNcXDGvO10wayF/PmLKJMabPvNh0zW0BZRPMU/BOKljjxo3Rv39/AEBOTg6uXbuGw4cPIyoqCiEhIWjTpk0Fl7By6dGjB7y8vFC/fv1y3/eBAwfw3//+FzKZDJ06dUKTJk2Ql5eHlJQUnD17FvHx8TU2mL9//z5+/fVXSCQSNGnSBLVq1UJubm5FF6tKkclkmDhxos75ZmzLtFIUEhJS6tssS3/88Qdq1apV0cUoExTME0KqH37wplkzr++hWWvPDmXHYhjx55VJfr76L7+ZvWbTdKDwr1hQX5VuWhBSQzVu3BiTJ08WTFuzZg02bdqENWvWYPXq1RVUssrJ2toa1tbW5b7f3Nxc/PTTT7C0tMS6devg5uYmmF9QUIDY2NhyL1dl4eLigl9//RVyuRxWVlYYOXIkHjx4UNHFqlJkMpnWd0FZa9y4cbnur6RcXFwqughlhoJ5QkjNU1QQzwbymoEtP4CvrAGvZhlzc4XBPL/vOyA+Xax2nj+/LGvmGab4feY1H/z95ecXZrm3sFBP16yt0FUzT7XwpIoICAjApk2bkJCQwE1jmxMvWLAAa9aswfnz55Geno6QkBD4+voCACIjIxEREYF79+4BAJo1a4Zhw4Zp1RbHxsZi2rRpCAwMRPv27bFu3TrcvHkTpqam8Pf3R3BwMBo0aKBVrpcvX2LLli04ffo0njx5AktLS7Rr1w6TJ0/WCm7Zvrjbt2/H2rVrcfToUWRkZMDZ2RmBgYHo1auXYPmsrCxs27YNx44dw5MnTyCVSlG/fn14eXlhypQpcHBwAKDdZ559LwAQHx8Pf39/bpvz588HACxatAjBwcEYN26c1ns6e/YsZs2ahREjRmDWrFk6z8ndu3eRnZ2Nbt26ab1XQN1Fws/PT3TdkydPYvfu3UhISEBubq6gKwV/W5mZmfjtt99w4sQJPH/+HNbW1vDx8UFQUBBcXV0F22SbT+/evRsnT57Evn37kJycjL59++Kbb74BYNz5evjwITZv3oy4uDi8ePECFhYWcHBwgK+vL2bOnKnzuLDq1auHevXqFbmcoWJjY7F161bcuXMHmZmZqFOnDpo0aYIBAwZgyJAhRZ73wYMHIysrCxERETh37hwePXqEjIwM1K1bFx06dEBgYKBoIJuRkYFff/0VJ0+eRHZ2Npo1a4YPP/wQWVlZOnM1JCYmYvPmzYiPj0dmZibq16+PLl26YPLkyahTp06pHRO+58+fY8uWLTh79iyePXsGc3Nz2Nvbw9vbG9OmTYOVlZWg6T6/Sw+/W4JYn/n169cjNDQUv/zyC9LS0rB9+3YkJyfDzs4Oo0aNwsiRI8EwDHbu3ImIiAikpaXBwcEBkyZNwr/+9S9BOR8+fIi9e/ciJiYGjx8/Rm5uLhwcHNCjRw989NFHsLS05Jbln0P+84EDB3LXtK5uFcX57ERERODs2bMIDw9HWloa7OzsEBAQgNGjR0Oq7/dNGaFgnhBSfemrmef3kWf7ySsUQF5e4TL6aub1Ba4VGeiz/5HIZIBEAmRkqINWzZp59n2xwbFYM3v2teZfXfMrus+8ruR8hNQQEol4roBXr15h8uTJqF27Nvr06YP8/HxYWVkBAFasWIE//vgD9vb2ePfddyGRSHD8+HEsXLgQiYmJ+Oyzz7S2d/36dWzZsgWdOnXCiBEjcOvWLRw+fBiXL1/Gxo0bBcFZcnIyPv30Uzx79gx+fn7o1q0b0tPTcfz4cVy4cAGrVq2Cl5eXYPtKpRIzZszAq1ev0L17d+Tl5eGff/7BvHnzsGLFCi74ZRgGM2fOxPXr19GmTRv4+/tDKpUiLS0NJ06cwMCBA7lgXpOjoyMCAwMRGhqKhg0bCm5cyOVyODs7Y8WKFdi3b59oML93714AwHvvvafnjAC1a9cGoM51oFKpDP6xv2rVKoSFhaF27dro3r07bG1t8eTJE8TExKBFixZcUJ2ZmYnAwEAkJyfDx8cHffv2RVpaGo4dO4azZ89i5cqVaN26tdb2ly1bhmvXrqFz587o3Lkz7OzsABh3vp49e4bAwEDk5OSgc+fOcHZ2Rk5ODh49eoTw8HCDgvnSdObMGcyZMwc2Njbo2rUr6tevj/T0dCQmJuLQoUMYMmRIkecdAJKSkrB+/Xr4+vqie/fuqFWrFh48eIDDhw/jzJkz2Lx5MxwdHbn1srOzMXXqVNy/fx/e3t7w9vbGs2fP8M0336Bjx46iZT158iTmz58PqVSKrl27okGDBkhKSsKuXbtw4cIFhIaGctdOacnNzcWUKVOQlpYGPz8/dO/eHQUFBUhJSUFkZCTGjRsHKysrjBo1CpGRkUhMTMTIkSO5Fi3896zPjh07EBcXh27dusHX1xfHjx/H8uXLUatWLSQmJuLYsWPo3LkzfH19ceTIESxYsACOjo5o27Ytt42oqCjs378fvr6+8PHxAcMwuHbtGrZu3Yr4+HisWbMGJm9v2gcGBiIyMhKPHz9GYGAgtw32fOpS3M9OSEgI4uLi0LlzZ/j5+eHkyZNYtWoVXr16halTpxp0jEoTBfOEkJqBX9Ou78EwhcuytfRsEF+VgnmlsrBGWqVSB/YymXYQLtbcXldCOV2v2b+Gdj3QEXAAUJeR319SX828SqUuv65gnq2d52e2Z7clltFe8zXVyJMqZufOnQCAli1bCqbfvXsXgwcPxpdffgkZ77q+dOkS/vjjD7i4uGDDhg3cj/bJkycjMDAQf/zxB3r06CH4kQ2ok5N99dVXgkA2NDQU69evx5o1azBv3jxu+oIFC/DixQtBEA4AH330ESZOnIjFixcjLCxMsP1nz56hZcuWWL16NUxNTQEA/fr1w/Tp07F9+3ZuO3fv3sX169fRvXt3LFmyRLANhUKBAs38GzxOTk6YPHkyQkND4ejoKNpMecCAAdi1axfi4+PRrl07bvrLly9x5swZeHp6wt3dXec+AHVzZA8PD9y6dQvTpk3DoEGD4OnpCWdnZ8G54Dt79izCwsLg5uaG1atXC2ppCwoKkJmZyb0OCQlBcnIyPvzwQ0EgMWjQIHz22Wf47rvvsGPHDq2bCHfu3MGWLVvQsGFDwXRjztfx48fx+vVr/Pvf/8bIkSMF28nIyNB7XMrC/v37wTAMfvnlF60kkOwxM+S8u7i44MCBA1q147GxsZg+fTp+++03fPXVV9z0rVu34v79+xg+fDjmzJnDTR88eDDXCkCzLAsWLEDdunWxbt06wTk4fPgwvvnmG6xbt06wLX2USiXWr18vOq9evXpc7XpMTAxSU1MxatQorZt0b9684frWjxo1Crdv3+aCeWMT4F26dAmbN29Go0aNAABjx47F8OHDsWrVKtjZ2SEsLAy2trYA1NdpYGAgwsLCBN8zAwYMwOjRo7nPP4v9njly5AgGDBgAQP19FRcXh8ePHxvV3aC4n52bN2/i999/5/JvTJo0CSNGjEB4eDiCgoK0ylzWyr8tACGEVFZsQMp/8ANEsb74le2Rn6/7oVAAOTnqR1YWkJ1d+MjKEj7Y6bm52o+8vMIWDey2xboqFOeRm6s92kBeXuFDsyz8lhWGPDTPIyFVVHJyMtavX4/169dj5cqVmDJlCjZt2gRzc3Ot2iFTU1MEBwdrBY+RkZEAgKCgIEF/cmtrawQFBQmW4WvatCneffddwbSxY8fC1tYWhw8fRv7b3B23bt3C1atXMXDgQK2m5M7OzhgyZAju3r2Lu3fvau3js88+E/wo7tChAxo2bIgbN25oLWtubq41zczMTNAUtzjYpsT79u0TTD948CAKCgowZMiQIrchkUjw/fffo3Xr1oiPj8eiRYswevRo9O7dG8HBwThw4ACUGt9Fu3btAgDMmjVLK6A0MTHhWj7k5+fj8OHDqFOnDj766CPBcv7+/vD398ejR49w5coVrXKNHTtWK5Av7vkSO/5169bVc1TKllh5jGm2bm1tLbq8r68vXF1dERMTI5j+999/w8zMTFArzC7Pb/bNOnjwIN68eYOpU6dqnYN+/frBw8MDR44cMbi8SqUSoaGhoo89e/ZoLS92fKysrEotCB0xYgQXyAOAg4MDvL29kZWVhYkTJ3KBPAB4enqiUaNGSExMFGyjQYMGouUZPnw4AGidA2OV5LMzadIkQSLNunXronfv3sjOzq6QfA9UM08IIYCwZl7sARieAK8yJMfj15hLJNq14QyjPU1sHHp2G/xjIHZM+NOKoq9mXnM4QLHl2Wz8/L7+/Np6am5PaoDk5GSEhoYCKByarl+/fpgwYYJWbbGTk5NocHXr1i0AgI+Pj9Y8dprmj2wAaNOmjVaT/lq1asHDwwPnz5/Hw4cP4ebmhmvXrgFQ12SL1RyyP3wfPHgg6IttY2MjWhvYoEEDbpuAugbVzc0Nhw8fxtOnT9GtWze0bdsWHh4eOmu9jeHu7o7WrVvj2LFjmD17NnfDY//+/bC0tESfPn0M2k6jRo2wfv163L59GzExMbhx4wauXr2Kixcv4uLFi/jrr7+wfPlyrmb0xo0bMDMzE7QGEJOUlIS8vDz4+PiIZur28fHB+fPnkZiYqNW6wtPTU2t5Y89Xly5dsHr1avzvf/9DTEwM/P394e3tDWdnZ4OOS3GIlWvUqFGwsbFB7969ERUVhaCgIPTt2xe+vr5o27Yt14XAGLGxsdixYweuX7+OjIwMwQ0XfpD55s0bpKWloVmzZoIgldW6dWut4dLY43z9+nUkJydrraNQKJCRkcH11S+KmZkZTp48WeRy7dq1Q7169bBlyxYkJiaiU6dO8Pb2hru7u84uOsUh1rydvQElNmxmvXr1cP36dcE0hmFw4MABREZG4t69e8jKyoKK93/68+fPS1TGknx2PDw8tJZnu/NkZWWVqFzFQcE8IYRUd2yQLRYk85uhssGwZlCuGbyXZTAvFoRrLi+RqPfFH8ZOc6g6sWR/hFQj/v7+WLFihUHL6gpmsrOzIZVKRYMQOzs7SKVS0R+nYsvz98Ou8+rVKwDqvsxnzpzRWb6cnBzBa7Y/vyaZTCb4QW9iYoJffvkFGzZsQFRUFFauXAlAXVMWEBCAiRMnljioHzJkCBYtWoS///4bw4cPx6VLl/DgwQMMGTLE6Jp/uVwuCHRiY2Pxf//3f4iNjcXu3bsxevRoAMDr169hb29fZP/6N2+Theo6v5rnQ2wen7Hny8nJiUt6du7cORw9ehSAuuXGlClT0Lt3b73lLw72BhbfoEGDYGNjg759+8LExAQ7duzAn3/+id27d0MikcDHxwczZ84ssg816+jRo5g/fz4sLCzg7+8PR0dHLuBj+2az2HOgK+jWd5zZFhi65OTklGoLB2tra6xfvx4bNmzA6dOncfbsWQDqm2QTJkzgar1LSuzzy34Odc3TbJ2ybNky7Nq1Cw4ODujSpQvq16/P3UQJDQ2FQqEoURlL8tkRew9s/33N91EeKJgnhJDiqOw180BhNwFAvHaevxygDoCLCtTLOpgXu8HAX559zQb0QGGfeJVKmMme/cv/T5+t1Rdrai/Wh576zZNqzNLSEiqVCunp6Vo/al++fAmVSiX6wzU9PV10ey9fvgQArgabXXf27NkICAgozaJz6tatizlz5mD27NlISkpCbGwswsPDsX79epiYmODDDz8s0fb79OmDn3/+Gfv27cPw4cO5JveGNLEviq+vLz7++GMsWrQIFy9e5IJ5Gxsb7vjrC+jZ48sed03sdF03R3Rtz5jz1bx5c/zwww8oKCjAzZs3ce7cOezcuRPz589H/fr10aNHD4O2YyjNWm5NPXv2RM+ePfHmzRtcuXKFS6Q2c+ZM7Ny5EzY2NkXuY8OGDTAzM8OmTZu0WhloNn9nj5muHAFi54Zdh82LUJ6cnJzwzTffQKlU4u7du7hw4QJ27tyJ//3vf6hduzb69etXruUR8/LlS+zevRvu7u7YsGGDoOb8xYsXojd0jFXan52KRH3mCSGkKLqa3lfnByGk2mObi8bFxWnNi4+PByDeZPbKlStgNL4ncnNzcevWLZibm3MBENuU++rVq6VabjESiQSurq4YPnw4V0N/6tSpIteTSqWC2n5NtWrVQv/+/XH79m3ExcXh2LFjcHd3R6tWrUql3GJNfFu1agWFQsGdA11cXFxgbm7ODV2nSd85FFOS82ViYgIvLy9MnjwZs2bNAsMwemv3y5qVlRXeeecdfPnllxg0aBDS09MFTbn1nfeUlBS4uLhoBfLPnj3TahZvZWUFR0dHJCcni97kEjuW5fm50EUmk0Eul2P8+PFYuHAhAOHnha1J1/fZKCupqalgGAYdOnTQ+nxcunRJdB22vIbWjJf2Z6ciUTBPCCH6VHRQXdoPYxL6GZL9v6IfxiS+0/XeCamhBg4cCEDdbJVtdgqom6CytV/sMnwPHjzA/v37BdPCwsKQnp6Ofv36cc1hPT094enpiX/++Qf//POP1nZUKpXojQRDpaam4v79+1rT2Vo1sURfmmrXro2nT5/qXeb9998HAHz77bfIzc01qlY+NTUV4eHhguPLysnJwY4dOwAA3t7e3HS2ufNPP/0kyFwPqLPZv3jxAoC673bfvn2RkZGBzZs3C5aLjo7GuXPn0LhxY7Rp08agshp7vm7cuCFas2nM8S9NMTExyMvLM6g8+s57w4YNkZyczB1nAMjLy8PSpUtFg8X+/ftDoVBo1RjHxsaKtiQYPHgwLC0tsXbtWty7d09rfm5uriA3RGm5e/cu0tLStKbrOj4AivxslAU2KeDVq1cFNxOePn2K1atXi65jbHlL+7NTkaiZPSGEFEWzSbnmc83XlaGPNts0nV8WflN7sVp4/jR+03Zdy7HPxZYxpGxiDO0zz3+ueezZpvTsMHZsQM82V2Wz5LPY4fmKGqrO0HnGoGb8pAK1a9cOAQEBCA8Px5gxY9CzZ08wDIOoqCg8efIEI0aMEE3C5ufnhx9//BFnzpyBi4sLbt26hfPnz8PBwQGffPKJYNmFCxfi008/xddff40dO3agRYsWMDMzw5MnT3D16lVkZGQYlLxLTGJiIr744gu0atUKzZo1Q7169fDs2TOcOHECMpkMY8aMKXIbvr6+OHr0KL788kvI5XLIZDJ06tRJkETQzc0NrVu3xtWrV2Fubs4NiWWIrKwsLFu2DCEhIfD29kazZs1gbm6OZ8+e4fTp03j16hVatGiBESNGcOt06tQJY8eORVhYGAICAtC9e3fY2dnh2bNniImJwdixYzFq1CgAwLRp0xAfH4/ffvsNV69ehaenJzdWdq1atbixzA1lzPk6dOgQdu/eDR8fHzRu3BhWVla4f/8+zp07h7p162qNeKDLd999xz1nE5vxp82YMcOgvuMrV67EkydP0K5dOzg6OkIikeDy5cu4ceMGWrduLQjM9J33gIAALFu2DB9++CF69uwJpVKJ6OhoAOpuBZpJIcePH4/jx49j165duHPnDry9vfH06VMcPXoUXbp0wenTpwXnwNbWFgsXLsRXX32F8ePHw9/fH02bNoVCoUBaWhri4+PRpk0bg3Ni6BuaDlDnFHByckJMTAxWrlyJNm3aoGnTpqhTpw5SUlJw+vRpmJubC/rM+/r6IiwsDEuWLEGvXr1gYWEBBwcH9O/f36AylUT9+vXRs2dPHD9+HBMnTkSHDh244SB9fX2RkpKitY6vry+OHTuGefPm4Z133oG5uTnc3NzQuXNnnfsp7c9ORaFgnhBCxGjWZAPCIFMz4KyMwbxKBcnr14VBLD+YZ6dpJo0TC8rFXpdVMG9mBgk/0NbVZx5QB8JswC6TqR9SKZh69bTPG9XM1yiOjtRVxFCzZ8+Gh4cHIiIi8OeffwIAmjVrhsmTJ2Pw4MGi63h5eWHixIlYu3YtduzYwdVyBQcHc1mrWU5OTtiyZQu2b9+OkydPYv/+/ZDJZKhXrx7atm2LXr16FbvsLVu2xIQJExAXF4czZ84gKysL9erVg5+fH8aOHSuasV3TrFmzAKhrUU+cOAGVSgU7OzutEQEGDRqEq1evomfPngb1u2a5uLhg8eLFuHDhAq5fv46///4br1+/hpWVFVxdXdGjRw8MGzZMqxZ7+vTp8PLywq5du3D8+HEoFArUq1cP7du3R8eOHbnlbG1tERoaio0bN+LkyZO4dOkSrK2t0a1bNwQGBhrdJ9uY89W3b18oFApcuXIFCQkJUCgUaNCgAT744AOMHTsWDRo0MGifBw8e1DstKCjIoGB+woQJiIqKwq1bt3DhwgWYmJjAyckJwcHB+OCDDwTJEPWd9+HDh8PExATh4eHYt28frK2t0alTJ0ydOhXz5s3T2q+VlRXWrFmD1atX49SpU0hISICrqyu+++47LljW7HvduXNnbNmyBb///jtiYmIQHR0NCwsL2NvbY/DgwUbdMGKHptPFx8cHTk5O8PPzQ0BAAOLj4xEVFYWcnBzY29ujT58+GDduHFxdXbl1OnXqhODgYOzduxdbt25FQUEB2rVrVy7BPAB8/fXXcHR0xPHjxxEeHg4HBweMGjUKEyZMQJcuXbSWHzJkCNLS0nDkyBFs2rQJSqUSAwcO1BvMl/Znp6JIGM1OT1WcrqQshFR1tra2dH0bQqlU17oqlYXjqWdlAUolJHfuqJ8rFMIx1tmxyrOztZtn5+UVBnz8IF0zCDQkmC/Pr1t+0G5MMA8UP5g3tmwi6pqZIaM0gnlLS/VDKgVq1wZq1VLXwJuYqJ/Xrq1+bWYGWFiot8fW0LPbMjMrfM5in/OX5f81FtXM11hV8Ts9NjYW06ZNQ2BgICZPnlzRxSlXS5cuRUREBH799dcih4wjharidV6avv32Wxw6dAjbt28XBMukeimr61zXyCF8VDNPCCHG0BW86muCX9T0sqSrxtyQrgOEEEKQnp6Ov/76Cy4uLhTIE1HPnz9H/fr1BdPi4uJw5MgRNG3alAJ5UmYomCeEEEOJ1Ujz54k917VMWRPbl9jwdMUJ5suwZt6oPvNvuxJwz9np/JYVUqn+ZvaEEKLDmTNncOvWLRw7dgw5OTkIDAys6CKRSmrWrFkwNzdH8+bNYWFhgfv37+P8+fOQSqVck35CygIF84QQQgghhGg4evQoDh48CHt7e0ydOhV9+/at6CKRSmrgwIE4dOgQjhw5gjdv3sDGxgZdunTBhAkT4OXlVdHFI9UY9ZknpIqo6f3ODFaWfeaVysIa6MreZ55VVJ95zWUNUdn7zNetK+wzX7eudp95a+vC/vIWFoV95NntUp95UsboO53UBHSdk5qA+swTQkhVUVWa2fP3KbZfYzPu63q/VaGZvdjQdAUF6udmZsKbNXy6muFTAE4IIYSQSoCCeUIIqYn0JcUzZPmSBPNFlUvfjRGx8e41H/y+8YB4n3lCCCGEkCqOgnlCCClN+sZbr0w187qWJYQQQgghVQIF84QQUp2xNdWAeDZ7zWWN2a7YX0PoK4NmlnmGES6v+VoiEdbKS6VAfj6Qm1uYL0ChEOYD4DezVyi0+8Wz/eH1Zbsv60z41JSfEEIIIUWgYJ4QUjoqyzBfbDAo9hBrbs1/iDXZ1kVfs/PKVDNfVqrSe9F3zvk3D3T9FVNZrneAAn9CCCGkhjIwdTEhhBBCCCGEEEIqCwrmCSGEEEIIIYSQKoaa2RNCiLHEmtJXhWb2Re1fX1/2km7b0P1oZpvX7COvUhW+ZrtGsH3jVarCPvJsrgATE3UfeJWqsK+8SlU45jygbjLPH2eeHV9e1zjzmmPS8/+KMXReUdui5vSEEEII4aGaeUIIIYQQQgghpIqhmnlCCCFVk65x5sXGmy/qAVTOBHhUG08IIYQQHSiYJ6QmK82ApLJk9zYmmz2pHkojoAcqXzBPgTwhhBBC9KBgnhBCSPWgL5gvKCjsW8/vO8+OP8/2uQcK+9Czf8X6zLPBfFn1mec/NPdtyDaMKQMhhBBCqiSjgvlXr15h5cqVuHr1KpKTk5GZmQlbW1u4urpi7Nix6NevHyQaiY2ysrKwatUqHD58GM+ePYO9vT369euH6dOnw9raWnQ/+/fvx+bNm3Hnzh2Ympqibdu2mDFjBlq3bl38d0oIITWRMYnpSpKgr7SS+/HHfQfUye74/6/wX7PPJRJhAK9UFgbuDKNOiMfHJsljl2GnscE8G+QrlYVJ8FhiQXZlVRXKSAghhJBiMyqYT09Px+7du+Ht7Y3evXujbt26ePHiBY4fP44ZM2ZgxIgRWLhwIbd8dnY2xo0bh4SEBHTu3BmDBg3CzZs3sWnTJly4cAHbtm2DpaWlYB9r1qzB8uXL4eTkhFGjRiE7OxuRkZEYPXo0QkND4efnVzrvnJCaRFeT4JrQzL6iiAW3FZXNvqKz6BtD32gA/GUAdRDPz27P0mw+LxbMszX1/Bp7zWVY+oL5sqqZZ7PlG4oCd0IIIaTGMSqYb9y4MWJiYmBiIlwtKysLI0eOxM6dOzFhwgQ0b94cALBhwwYkJCQgKCgIn3/+Obf8ypUr8csvv2DDhg2YMWMGNz0pKQmrVq2Ci4sLdu3aBRsbGwDA+PHjERAQgPnz5+Ovv/7S2j8hhBBCCCGEEFKTGDU0nUwmEw2kra2t0aVLFwDAgwcPAAAMwyA8PByWlpaYNm2aYPmPP/4YderUwa5du8DwamAiIiJQUFCAqVOncoE8ADRv3hxDhgzBw4cPcf78eWOKTAgxlL7EcdXlQcnvag7NfvNsP3n2oVAY/sjLK3zk5gI5OZXrwZbTkM8AIYQQQqqNUhlnPi8vD+fPn4dEIoG7uzsAdS3706dP4ePjo9WU3tzcHO3bt8eTJ0+44B8AoqOjAQCdO3fW2kfXrl0BADExMaVRZEIIIdVBUcPTGTtEnaGP8r4RRQghhBCioVjt1V+9eoXNmzdDpVLhxYsXOHnyJNLS0hAcHAwXFxcAhTX07GtNTZs25ZZjl0lKSoKlpSXs7e11Lp+UlFScIhNCCKmOxPrYa7bA0JXN3tA+85rP2QR6QNn1mWf/ss/ZPvTUN54QQgghbxU7mA8JCeFem5qa4j//+Q8mTZrETXv9+jUA6MxYz05nlwPUfe/t7Oz0Lp+VlaW3bHXq1IFU80cZIdWEra1t8VY0JAFecWv/DBmTuzwplYVNjk1N1Q82M7mFReFwY/ws6GzQxDDqptSaWdLZ7xSZTB0Y8qex2ICSrQmuTAnwqpi6/ORvYtns+c/52ejZh6kpYGJSeO4tLNSvzczUj1q1ACsr9bxatdTTpFL1MoD6L/vaxEQ8AZ6FReFr/l8xxU2ApxnM60qMx19W1zB1hpSTlLtif6cTUoXQdU5qgoq6zosVzDdu3Bi3bt2CUqlEWloaDh48iOXLlyM+Ph4rVqyo0AR1mZmZFbZvQsqSra0t0tPTDVtYM7CuqcG8QqHuU5yVBSiVkLx5A7x5o56em6t+ZGcX9jnOzRXvW82+N7a2l2HU8/gomC8Vdc3MkMHPPl+MYJ4xNS081lKp+hqQSoH8fPWDvdHD3uTJz9cfzIvVzOfmql9TME+KyajvdEKqKLrOSU1QVte5ITcIShR1y2QyNG7cGFOmTIFUKsWPP/6InTt3YsyYMVwCO1016ex0fqI7a2trQU292PK6avoJIaWgOAF5ZQzmDUmAR8nwqgZDh6krqs88IGxaX9Jm9uw0dtv6rv+ignmx+bpuyFWWzxkhhBBCKlyptUdns9mzSeyK6uPO9qlnlwPU/euzs7Px7Nkzncvr6oNPCCGEcMQS3ymV2i0vyuPBtggQexiTVV/fg4J8QgghpMYptfbwT548AaCurQfUQXeDBg0QFxeH7OxsQUb7vLw8XLx4EQ0aNBAE8x06dEB8fDzOnDmDoUOHCrZ/6tQpbhlCiIGKqs3TbGZfHWvmSfXFT37Hr4FXqdRN8PmvAfU0fpBdGjXzmn/FFDVPs3ZfLAEeoG5OT9c0IYQQQt4yqmY+ISFBtBl8RkYGli9fDgDo1q0bAEAikSAgIADZ2dn45ZdfBMuvXbsWmZmZCAgIgITX/3HYsGEwMTHBr7/+KthPYmIi9u7dC2dnZ/j7+xtTZEJqjrIaEqu0ag7L82FsM3t+X3ix7Oik6imq2b1YDXpFX7f8ce1LOua8IZ8LQgghhFRpRtXMR0REYNeuXfDz84OTkxMsLCyQmpqKqKgoZGdno3///nj33Xe55YOCgnDs2DFs2LABCQkJ8PT0xM2bN3Hy5Em0bNkSQUFBgu27uroiODgYK1aswHvvvYf+/fsjOzsbkZGRKCgowMKFCys0uR4hhJAqjt/8HhDPm6BvnuYyZUVz+/qCcF1BOiW7I4QQQqo1oyLj/v37IysrC5cuXUJMTAxyc3NRp04d+Pr6YujQoRg0aJCgpt3S0hJbt25FSEgIDh06hOjoaNSvXx8TJ05EcHCwoOk9a+rUqWjUqBE2b96M7du3w9TUFO3atcOMGTPQpk2bkr9jQmo6XRns9QUKhmyvstT0GZoAj1QP/Gb27N+iHoYE8/xpZd3MXte2+E3wWbqS5YkF88X5TNINAEIIIaTKkDBM9WpPSsNfkOqqyGEvxH7EiwXaugJ4XTV/hr6ujME827w4OxtQqSB59Eg9TB1/KLrsbHUTa5VKPY1tcs0mSxMbmg6goenKiNbQdIDuoen4r9kh7KRSMOwY8uywcuw48jJZ4fTatbXHmWeDaP4QdbqGpmOHiCurYJ7dL79MZmaF49uzZDLA2lo9j32w+M+LGrpO3zRSJmjILlIT0HVOaoIqOzQdIYQQQggpf5Xl/mlVRfetCCHVAQXzhFQHuprX6qqZ16yN5z+vDjXz7F/N5vWk+jJmvHk2AZ5mNntdNegV2cyefbBD6xnTZ54QQggh1RoF84QQ/cFAdQrmdT1IzaTrGqiMCfCKE8zr+kxSlWSlZ8jXaWX5yq1s6PImhNQkFMwTUlMUVRtfXYN5CtqJGH6/fJXK+D7z7PVUHn3m2dcmJtrXMbuOZp95zf7zfBTtEEIIIdUCBfOE1HT6gnljgvvKGMzn5xcmtNMcW5yCfGKIylQzr+t6Ffv86mtyb8xnlQJ/QgghpNKiYJ6QmkTXD/7qGsxTsE504Y9KoK/PvOb0iuozr2tbUmlhKwOZzLhgngJ1QgghpEqjYJ6Q6qKoBHj6au+qUzBPqh9jhvRjGEiys4VN1TUDdnaYOqDwOTu0HTsNKBzKrqyGptN3Y0BXM3vNpvNvh9djGjTQDs4ViqKHoiNVRlFfxcQw7MeAjl/x0VcJIZUHBfOEEP00f/FojgHOH4Ndn/KuIec3q1coCseRZx/s9Px89fJstnN9SfLYrOjscz7NbOqkfGgea/51xk9kp0lz7Hp+MM+nVAqn66opL+1gnt+P38REuA4f24/ekGb2Yjf5iot+zZc5Q796iVBR96/o0iWEVCcUzBNSU+mqlS+qZj4/3/CAia+yBPP8fvNs33lAPJjnD2vGLkOBeuWmb2g6zQd/ec1t8P/yGXq9l5TmZ4z/0HfjgBBCCCE1BgXzhNRUbKCuUOgP5jWrg/gBMFA1gvmCgsJpNCxd1WbIzRQ2QFcq1X8LCgpr3jWb2bPTxJrZi9XUs8vl5gqXEVuWv46u6Zr75dfGizWxNzMTBvMmJoClJWBuri4TW4tvbq5+/+z7ZNeVyYQZ7wH1NPYhhqoyyxX7NZyTI/w6ppp5w/AvZX2DOhBCSHVAwTwhNZFSCUlysvrXYF6e7gCXDYj52Fpu/jL8v7pUhmCe1Ez8GwCaNfOa84HCa1VfMK8ZxJdGMM+2DtFMgMfSlaiPvcb56xnSyoZUemKpUHS9JtrYy57uRxFCqisK5gkhhcSCeV1DZPFf8//q23Z5ErtBIVYzr9ncmprSE0IqAX6KD/Y1HwXz4vg18xYW6uOk2RiFEEKqCwrmCSGG01V7z/+rb93yZEgwL9Z3uqj+1aTy0ncu+csUVTNvzL7Kgq6batQ1pEbg94DKyVE/AArmDcXvScK+JoSQ6oqCeUJqErFkd2xzdP5flmYze13L8P/qUtmCeVJ9VfVgHjA8mKdAv9rJylIH7pmZwL17Ei49g2YwT6dbnJlZYcoJNzeGC+b1pYUghJCqioJ5QkjlUNq/TMuqZp6GpiOElCF+ArzsbFAwb6SCgsJgPiurMIg3MxPP6UqMp3ljhG6SEFJxKJgnhJQ9Q2oNq1owTwghZYDtJ5+VpQ7ms7IKp/NRMC+OrZk3MxMG84C6Dz17PEnx8Y+pTAZYW1dseQipySiYJ6Q6YztV6hpPXnO89dzcopvZFyebfUUH8+x74I8zT6o3fc3sVSrxbPSGZKgvy2z2mq81x5QXy2YvlQqz2bND06lUlMa7imJr5V+9UgeeL1+qp1Mwbxg2mK9VC7C1VU/jD1VHuQZKjp+XgL5iCKlYFMwTQgipnvT1j6/sfebZ7Vex/vAUKBlO12iBmulM2HuPmvcgq8glUe7Ye13sPWo6ToSQ6oyCeUJIoaKGpituNvuKrpmnX3M1j66uEaUVzGuORV8WNfPsc340V1TNPP/zyI8WNZ/z/xqCqt/KBdvEPien6KHp6GtNG//jwf/qVyoLm9ezowMQ4/Cb1ZuZqZvW01B/hFQ8CuYJqWn41T6aTdHLKpt9RQfz/GCooID6vdc0bECvq0k9O8+QwJzFRgxlFcxLpcLn7LVrZiYM5s3M1Ne4hUXhc6m08LmZWeGvb/Y5G8TzB9/mZwkzNnDXWJ5q5w2jWTPP9pPPylJnsn/1CsjIUD8A7Zp5+hrTJpUCpqbqZvZsz7HcXHUAz16mFMwbTizJHfuXPueEVA4UzBNCiqZvaLeqEMxrlp8S2tUcYgkM+cE1P4A2Jphnt1lWwTz/BgO/3AqFMJgH1JELW23LpvFmbwDwa+sBYdBOKhV+OhO2Rj43F8jPL5zPR19d2vi18uwxLCgoTPWiUAB5eRVbxqrEhBcl8JMIsrkHdHUVIYSUHwrmCanuxH4h8hPBaT7Eaub5nQ+rSgI8/n7ZbWt2otQ1BjmpXsTOaUnPc3n1mWef8x+6ur7oGrkBKLNf3JqbpR/3hivqWGk2hNL8iqSvKnH8r3v+Q9cQf0Q3fjDP3ijJyyvMrUn3BAmpeBTME0J0E2uCX9xgvqgM8uUVzPN/HTOMsFxs9wMamq564V9b+mrDjamZ52+vqHVK2mee/z40p/GjFc1a+HLGv2dIisbvDw8UNrHPySlsHp6dXbgM1cwXjf0IsL1UsrMBS0v1PBrMxHj8YJ2fj8CEogdCKg36OBJCSo+uQKKy1MwXFZwbMs48qR6qcs08n6E182xCPKBUq8/FRr+kYN4wmsE8e+z4KU30ff3Q15E2zY8K28QeUN8coWDeOPycm2wPHvbapFY4hFQOFMwTUt3pGmNeLAjQ/PEv1gRfXwI8fcF8RdXM838NF9VnXl/QRKo3Y893ZQnm2Wb3xQnmi5PV3gD0A98wmsGQ5tczQMG8sfi9UPj95tlkeJr/fRFt/JQc/Bp4tsUDIaRyoWCeEGK84gTzFVEzr6smvqhhywghpJyJ3WelYN44msfrxQsJ8vLUQWl2NgXzhuAH7JaWQL16jFatPP/eICGkYlEwT0hNYUzNvGZfec2aec3h6ti/+oL5ov7nL4tfppq/gqkPfM2j6/zyrwHNfu9Vqc88Ow492x62oKBwXK4ybmavK7cmO5430Y9hgPT0wtc5OeoH2zQ8O1udyZ6y2RtOIikcsIG99LOz1R8J9jjScdNN7CuHzV5P/eQJqZzoo0kIMY5m0G5oMF9UtVJ5BPNizez1ZQbX12eeqsmqturSZ16smb2+ZveAeDN7Y8eWB29TEAbzbL9vol+tWsIxz3NytAcaoZp544mlPNH82ieGMaRRHSGkYlEwT0hNJlYDX5KaeX21oJq/CCoimKdfcTVLcc+3MetVhpp5Q3Ng6AvmxfrPFzPAJ8WXn1/4FauZfZ1q5g3DvxfL1ibz8xAQ3SQSYTN7zZ8A/Gl0w46QyoGCeUJqOkOa2rO/KtmMQvz/xQ1psq4ZzOtKPFfaxIJ5pVL4WvPGBPsrkP+Xn41Kc9u6XhNSgyiVhTXLmZn0Q98QUqnwWBUUqJuEZ2UVDk2neT+Gj75ytEkkhceJ7YGiVAqnE93Ybgrsc0B9TbLJ70xM1P3o6VgSUnlQME9ITaGvz7wxNfOaVRyGJJOrTMG8ZgsCfc2Z9TWzJ5VXUeeJ308eKF5feXYfZVUzz5aRfc4whYNna5ad/ayyfeYBYT969mFszXyRdNfcU01o0RQKdU08e5zY+6YKhTqQZ7OwUzBvOPbjwr/UWXS8isb/amG/Mvg/AfhJ8AghlQMF84TUZIYkweMH9mJpbKtSMA9oB/Nifeb5QX8l/AWoZKrv+EBKRlrG708i+CuT0K/S0sa/V0h00zxOxqTsEHtNhCjXqfE0WzBoBvNsbk1CSOVBwTwhhBBSXGUVIRiTAK+oJHhA8frM66BUApC9TXyXAyhlMq5GOScHyMsTDgGmLy9mTSaRFDZhBtR/2Wb2r16pj2Nenvq4AtR1wRD8xi385vbGNLqpydiWDUBhQ6C8PPXrWrVoaD9CKiMK5gkhhQypoddVA19Uzbwxr0sLNY8n5aW0r7GyDObZ1jXFbWav1Hz+NqW9EgBkgoY8gDAtBV9NDwpMTQub0gOFKUnYB/8rlxQfHT/jaP6XLvb1QgipPCiYJ4QIGRLIV+Vgnn7ZEVJq2KHpNNNxFBQAL16oq0MpmBeXnQ28eSMRHIeMDHWtfEYG8OaNMJinry7j8P9bqenXmqH4rRjYfLFKpTq3g0Khrq3n33AihFQ8CuYJIYTUHFoRUSWNkEqzZl5aPjkW+Bnt2WzsAAXzushkhRnrWfzEd9TPu/j4Hwv2NSmaWJ95OnaEVG4UzBNCtLFVa/xb8OyQbkql8Ne5vpp5zSzyYvPEXpcWQ2rmNZP58X8FVqJs9kqmsNOnQiXjTa+I0pQdc6UMOcqyHd9cJgFX/WQmZQAGkEkq2YEszWC+jAJ7to+8Uqbu552VBbx+ra5ZzspS1y4DFMzrkp9fWPsOFA5Nx2a5F0uQR/TT7BvP7wNOiqaZzV4mU1+HMpn2YDeEkMqBgnlCCCGEFBvbFFeRX3jvLztb/QAomNdFMwFeQYE62RgbxFPNfMnouv9F9BPrM08IqbwomCeEFE2zZtCQWsOqUjOv773QL5kahd/6oWilsayE99B4zfCmMxoPvrfTGBUAYx5cwjqR50XQzJuXlaOuic/LLayhZx+A7mC+pn+0GEYdzPP7dRcUFDaCqunHpzSwx5IYRlefeRpJgZDKi4J5QoiaoYnvNNvYVbVgXtcy/HJUol9/bIDJNqdXMhIoVBLefPHlqypzpQQ5yrLr4y2TMIJm9jLucEmgZBgoGSlvmh4SieFdHHSNi8UfR0vzNcM+h/o5IwGk7HIa25ECjOJtVK9gABUDmLx94O1rMADYz64KUCmBHI1f6DLeQ/M1r+dDTo76dY4CyMwEMnPUzcXZAP7VK/UjJ0e9PAUC4hhGmESMYQqbMvMD+kr0dVTp8Y+VSkXN7I2l2Weerj9CKj8K5gkh2vQF88WtmdcXvFdkMF/J8YN49jU/iOQH9vzlqiqFSqL1nkqTmRTgV2+zx4vtM69+bdj1Uqb5CrhtSwqDeX01829jdaNr54ES1cwrFOrm9QUFwgebZoO/PBHSrPFka+bZGlHNpvZV+GuMEEJIGaFgnhBCqhAlIxEE7JrBe1VPiKd+f2W5fYBtyi6W9K5wflGMKWdpNrPnLw8u0C9WMM/WwBkZzCsU6sVyFEBOLpD/Nnt9dnZh7XxeXmGtMwXzumnWzPPzjFKtKCGEkKJQME8I0c/QmnnNMWwqUzN7Q5epIv3l2SBSoTIRqZmvgAKVInOlCXKUZZcZTckwgqb1eHvzwNokX92FQSk1LLN9qTazLywO92A0njMApLzl+KQAoyyqmb3q7XNV4XbYvuxsQGlgM3s2mFcoAEVB4VB0CoW6Zjk3V52NPT9fvTwF8+IkksJjBGgH89TfmxBCSFEomCekpjJ0KKuq3My+GlIyUigZdTTGD+bZaVU/mDfT6spdmvjBvEzCQKECABVylKYAVFCo1H3m2eOpU6kF8+AF8/w+81Lec6hfS99G1YLtyQCpBIzy7TyFDFBJAZO3D0jVryFV70j1tu+9CoVBvfoQFL42oM+8EurEd4rcwlp59sEmcaNm9vppNrPn3xOlr8PSQcfReJr/bfPv1xNCKh8K5gkhpBqp6n3m1TkByu498LcvkzBcsj0lAyhU6j776mC+iDJIjLhxoreVvY4EeFJpYaAvlaoDcIm0MMhnMVJAIgVT8HaeVAoopYXrqCTq/+nZZvXs//r8//3Z6VJoB/UiwXxW1ttg/m2NPFsrn5tb2OebxkcvmlguUTaY599HJcVDx654dAXzhJDKiYJ5QgipItha+cJaeOnbPub82vqy7XNe1tTN7MvuDSgZtv06YCZVgo1cFSpAyajeBvPl3cxeJJgHCoN99m6AChDU5LPLqCRgVG/XU71doODtg82Az1bOA4XN69m/UgiXYV+zSfI0m9kX8JrZK4TN7Nmm9uwDoJp5XaRS4bB9mrWgFEQRQggpCgXzhJDiM6T5veZzQ16Xp0raZ74we736rzrYBHKUUuQo1UF8jlKGzPy3gTzbLFwlMTQZe6WUz0hRoCiD/5rexrQ5UoZ7bSFjYCZVR69m0gIAUihU6uOYozSBIldPU3uJEce5yGb2msE83tbMs8/fvjY1BWQyYTAvkwKmJkCBGSAzA8xMAakMjKkMzGuper5UCkYmVafyN5GCqQUwJhIwtdQbUplJABMJGKkEjJn6LwD1X+nb6dLCnebmAkpIkJklQUYG8DpXgoxMIDcHyFFI8OaNOqhnPz5UMy9Os888IDxmFMgTQggpCgXzhBBSxbAZ3xUqQKl820eakaozm/OzlFdBBYC633dpY2NRXhK5HJkEOVIpZFIG1iYqyCSFwbySMSBYL5VgSzObvci2GY2HZhkMfby9Nhi2CTe/Gbzq7WKqwl0wGrtgqVRvN6WRVkMszQZAQakuYvcLdd3/JIQQQsRQME8IKV1iv0apZl4vsWRrbI0826dbXTMvRY5S9rZm/u08pUzdR1olVUdcSlTpYB5AYXb1kpLwDgQbJ8vAi58lgEqKAimQychgJpVAoVLfSGBUb/ue69x2adTMA9oJ8Nht8/rMMxJeAjypRh98iXo6mwBPKQPDyMBIZWCkUqggBcNIwbzdGKOSQCV9G3CzjTne/sNIC3Ptgf3L3ifiHQpBNvu3DzaI5w+pRsG8fkUF84QQQkhRKJgnhJBKhu0Lzz4HAIVK+jaYN0OO0kSdyE1pBhSYAAVvg88qXisPAMiTvB1KreS0Q2iVOgplg2Q227sEYEwY5PFr4xkpkFfExsssAR7eJp/nNbmXSgGVrPBmBEsmA6Myg1JmCshMkc+YgpFKUaAyAaOSQimTgpFKwcgkgEzdXF5VoL73o3p700RlBsDkbdBuVnQwr25mD7zKAjIygZwC9Vjz+fnqYJ5q5g1Dte+EEEJKioJ5QgipIvgJ8BQqKVQqE0BpBijVwTwbA1fpeF5lTJSsn1TjSEih4g6ODLz25BJww7BzqzDSIg6kMRn39UXzGq+5DPbC/vMqKVCgAlSyt1nt2WLKzKBUmUElMwNkJshnTMBIpchXycCoZFDK3tbQy9T951VSCVTKt8H828R0qlxwwbzKyGA+5+1Y8/lva+jz3ya+YwN6iYQCVl0omCeEEFJSFMwTQkglpZ25ns1eL4GKeZu5nK2NZ2tBoQ60gNIKicuXCSQoKLVgvhB7i0DQG1/JW7LARGMtKTRykxWbrncj2v39bQd1lUoqmK6SAAUFEnXQrhnMF5hBJTEDIzNBvtJMHcwXmIIpMIVSJoPqbTDPvE2voDIp/AuoK/zZlAtKmfov8LZ1v0QkmH/bzP6NAsjPBXILeJnsRTKxU8AqjoJ5QgghJUXBPCFEN/6vcrG+5Prm8dMxs9mxWJW1zzy/LOVcHv645oUJ7iTIKmCzq0vfZq8HlPlv+8jny6DKN0E+pMiFOsAqQOGIY1UxTjAFkC8Iw4tPCmFqOROoYA62FbtK8B+gZh25CoXHsaSMCuYBMJBABYkgAZ2KAQoUJlDJZBrBvAxKxgRKE3XG+nxIwUhlyGfUfee1g3kGKpUEKqkKqrdV8yqZEoxU+TaYV2oH85LCAB9QB+8MgALF2+b1SnXzeqUSVXpYREKIcZS8z35Ry5Ciycog9yup/iiYJ4QUnyGBvuZzQ16XJ10ZqCqAkgFX865QATlKCbIK1FFUVoE68Z0qXwL8f3t3HyVJVZ8P/LlVPbPsOOuyvCU/N8JyDi4BFRFBEPAQFV8iBBWBaJRAdBNAXiLnSE5eyEl89yRHRRZUCCIEBQy4HoKIctATeRFY3gyBLKKJu8CaABFYd3Zmp7ruvb8/6t6qW7du9ctM90z39PPxlN1dVV1d3czO9FPf+2LDfCKQAGiaJUUR6IHhbG4v4RTM58kZuL5Umc+CffnzCYX5Xn1+3YV5YcI8ymEegIJpkeGcrTatNLTS0EJntzC3SkELlR1XAFpEzoj1GtqEeS0kNKTZp32Yz3soqGyMQaGkuTWfufOrQLT6AOZICX7jJSIiAhjmiWguOqnMM8zPS9Yv3hm5Po2gZAQ0G3mYVzqrxM4CmEEW6KW5BYYzzDfQu4q4H+aXQeQxeAwCTVQnhbPPccO8CvR5t1X0TnRfmUcwzKdoZOMkOC0XtG5AigZUmlXim1E2kn1TxNAi65qhouxnReus770C8lsgq/rnzex1oJl9+fpBNsgdAO1U5fJp6bBojVuIaIGxMt8brMjTfDDMExENCNu8vqjQF/eLpCdKSVKjaFrvN7MfxjAP9DbMu03tUxSz3qWIgo35uwnzneo2zNvX98N8E3E+xVz+HCWgZjUUNHSs0TSD2zVTDZ0qyFhlwT0GdKyzAfAagIpiqEY2XL+KAUQSEHHWFN9WvkUMLWLALvY1JQDEEM0YUQLECoAEGikgzKgEeWXeDICnu6im+5V3VuKJiIjCGOaJiJYY5d0Ok37Orqcg0DRxOEIRlt2o7oZ56dz3LXyYb6CJBjRiaLcyjwYUGlDNCEpFaIqsEt80/e6lElmAVwJaoXjjzgeg7Hozqr92myu4i2U+mDQ1VXlvSAwiIiJaGAzzREQDqKjKA4lNuIHR692HCn5FefjY99ELNqPa42V5tbMp5dwB8BYvzGcpWiM2YX4sEObHIDEGpbIm+E00oKIYqTZzzcWNbJo7MwAeIjMLQmTCPWxlHllgj83sgEApyLt95pXpM586g97l88t3M2MfERERzQvDPBHVm89o9sPSZ36A2cHwis7LqHTWdvtY2yV11g2jXk0JB5TDvK/d52Ob5C9OmG+Y0N46zEuMQdrqPBrQzQYQZftomIESI1F0ko/Mz1Lk/POsqcwrJ8irUJhXpjqPLMxrXd4PcF5jHp9Xu8fDir/2iIhovhjmiYgGnQYgG8WCBhQiSMT5SPbuiPZNDHOYz5rC94oN83ZsgRlnW7tXmTW3dWG+8wHwwuVq7fXazwM4wmEeWIZsPH73eeNmcfqVKwCzIlsgTGVeFE81Y+ipRvYOVDwLRAmUiCFjmfdRV6avvDJLfngFSMSQiKE1IKOs3b0AIAL927WIg+vr+PsKpw8/RFzbtqKbfvlERERLAcM8EdGAss3s4S+O0OaaXSsGsSjYjz7zfv9zBO6H9K7PfF2YF5XHdp3K7xe34Q7sdeu9k/UW7f6A2EY1KG5R3lz+3HRnP19ERETUXwzzRESDrBTCRClBqRbLDNqH4kEMY2N9qszbluSuTl8lHOY77xw+lzAfDvCh0F6J2qi8M43iyoQ2zejtrX2G1qX55oGid4fymtlXwrxoPe+UqJ7R/LACT7RgbHeQfPpJsyQJMDOTTavWamq1sTFgamrhznfQdDLt3PLl3T+HyOoqzD/zzDO49dZbcccdd+C///u/8X//939YuXIlDjnkEKxbtw6vec1rKs+ZmprC+vXrcdttt+G5557Dnnvuibe97W0499xzMTk5GXydm2++GVdffTV+8YtfYGxsDAcffDDOO+88vPrVr57buyQiGgJSR2bAuwYSFSNRsenrLLJRylQ22Zoyi52Grm5pNbUaMJhhXiPucZjX+dH8yDmfV+lHmC8H9U7DfLv9io7v2vR1h7m1I9Arc41IecFdtQrzLRoCENHo4Dzz8+d+Pgzy1K2uwvw111yDf/qnf8Lee++NI488Ervvvju2bNmC22+/Hbfffjs+//nP453vfGe+//T0ND74wQ9i06ZNOOqoo3Dcccfh8ccfx1VXXYX77rsP1157LSYmJkqv8dWvfhVf/OIX8bKXvQzve9/7MD09jVtuuQXvf//78bWvfQ2HH354b945Ec0fB8AjIiJaktw/67Yin6bZkiTZEsfZbR273yjqJJgzvNN8dRXmDzroIHzzm9/EoYceWlr/wAMP4PTTT8fHP/5xHHvssRgfHwcAXHHFFdi0aRPWrVuHCy64IN//4osvxqWXXoorrrgC5513Xr5+8+bNWL9+PdasWYMbb7wRK1asAACceuqpOPnkk3HhhRfi1ltvRaPB3gFEtPRkfeSFWUL95aul0E76zHc6mvog6HVfbNmifLxQlfn6EnY/K/P++Rb95GsnpQAqfeY7HX+BiIiIFp7fhbClt73tbZUgDwCHHnooDj/8cLz44ov42c9+BiDrf3fDDTdgYmICZ599dmn/M844AytXrsSNN94I7VTjNmzYgDRNcdZZZ+VBHgBe8YpX4F3veheefPJJ3HvvvV29QSJaAHUV+qWyEC04O8lgt4tEtUOBifg6O6yoXTQilZSWuAeLPY7QEkKzvS3RUqBU0YSey/wWovnoWYnbVsvt7ebNm/Hss8/i6KOPrjSlX7ZsGQ499FD88Ic/xJYtW7BmzRoAwMaNGwEARx11VOX4b3zjG3H99dfj/vvvx9FHH92r0yYiIiIiooCZGQGts+bgzSYgRLHMzADj44D3Nb9k112BF18czQE24hj4nd8JFwRs8/rx8SzQs7k9zVVPwvyvfvUr/OQnP8Gee+6JtWvXAgC2bNkCAHlQ9+2zzz75fnafzZs3Y2JiAnvuuWft/ps3b+7FKRMRES2Q+Uy2Z5vN20q9RrVRXWQW4ewzBr9xvEC2SqvsfqTcDfYLegphRqcXdl53EUNH48GzAlCqtoe+svvr/K+2iqPTEw28ulHtbYW+zqhXn/33ztBOvTbvMN9sNvEXf/EXSJIEH/vYxxCbn9Lt27cDQO2I9Xa93Q/IRr7fbbfdWu4/1WZ+i5UrVyKKuuo9QDQ0Vq1aFd4gZXmEGfvXw448IyWwyy7ZYte9+GIxp0wcZ/PHaJ2NbDM2lt0KkW0TIjuG1sUlefs67l93t1m6fQwU+1jDOgBen87RjmLfiGJILZCoCI0ohkKEnaqBVAoAMSAjIIkAGcMGujGzpOZYWZyLkELko9gP02j2ADC2QLOmzq/P/Pz/zvjH0IjydcU2AY0Y2Z/rBoDiv30mNkvDrB9DbQ+6GBARIOyuDecQUQSIGDpenoV4ZGFem0Af+WHehHwAEPHy0voKc5zIbNP+Pt5jP9znj825SO9c6o4zDMbHd13sUyDKCQHYYamiKKsa21tbgX/JS8rLLrsANV/1c7vuumvfz30QxTHgf22zYd6tzE9Olr+OMfAPp9rv6H02r29MSin89V//Ne6//36ccsopePe7392j05q7bdu2LfYpEPXFqlWr8MILL4Q3dhLmZ2ayxawTO3YAO3cWS5IAO3YUw9SmKTA9nd1vNovg3mxmi32dNmFeasEw34YN81Opzqemm0qB5xONdBaAFEASA1KZIq9EFkVjJEC+pACaABIoJBjOqenG0EAzvzQxuHoR5usr7O42O0u7Muv8MN9AeeA7P/Br5LVx250+RSDMZx3nRdyEMBfr8ut2IobyArS2QR+AdsJ8JagDeQgvhXKHXe/f+tthWgj459LytQfY+PiuSJIXF/s0iHJCFH+qoyh7HEXZYq/3j40By5Zli9bZ14pWX70nJ3fF1NSLC3L+gyaKACnLf2ndEG9vV66shvnxcYb6YdLyO/o8j9vOnMO81hoXXngh/vVf/xUnnHACPv7xj5e22wHs6irpdr070N3k5GSpUh/av67ST0RENNxCzfHdBu3Kue8+xy5AMfidRNE836Pt5qi0LnIH0ndfWkhEesY7rThcCQ+sU9F43lw/tI/bEsC9DYVzoSVQM4heXa/cYQv5RIMs1My+FSnb77OUjXIXA1oYcwrzSin8zd/8DTZs2IDjjz8en/vc5ypN29v1cbd96u1+QNa//uGHH8Zzzz1X6Tffrg8+ES2+rApvHpj7penVrHaPB1WfzrGYkq48NR1RX5mfsUiZO3l4F97jQMN9IbMFKIfzuuDshP/aZvY1t+5FgFb/LHTNxQL3OeyfTzQ/7hzzO3e2D+pCZI38RlEUVVsthJrRJ0m5Ik/Uja7DvBvk3/nOd+If/uEf8n7yrjVr1mCvvfbCQw89hOnp6dKI9rOzs3jggQew1157lcL8YYcdhocffhh33313pcn+nXfeme9DRIsnC+wmbCoT3pUAlEAidfHNWcGEeQEoXS4QDmuY72pu8c5JM3+8nVs+n2OeqCNuZT4bAE8ghYBAaJo6K5LmOfbfn8jGWVDmx1wJAWT/tCv/PpVdD0BhxlkfqMxrWa7kd9jM3obzvFm9CfPKe55V90+GYZ6of9qF+U6q90tZ3Xu3FftRHyCQ5q+rTn9ukH/HO96Bf/zHfwwGeQAQQuDkk0/G9PQ0Lr300tK2yy67DNu2bcPJJ5+c980DgBNPPBGNRgNf+cpXSs3tf/7zn+Omm27C3nvvjSOOOKKbUyYiIhpCqo+Lx2k9EyntLMrcAo2OFxlYkuASabkoCxF1xg5n4y6hZvZc6heifuuqMn/ppZdiw4YNmJiYwJo1a/CVr3ylss+xxx6LAw44AACwbt06/OhHP8IVV1yBTZs24ZWvfCUef/xx3HHHHTjggAOwbt260nP33XdfnHPOObjoootwwgkn4O1vfzump6dxyy23IE1TfPKTn8znsSeixZNXjjUgbYlOCcxI4QyABzMAHgAVBSrzQzgAXp9InV1XTVTMqjz1gO0UH6GozPsd4r3dVWAXAUDobPGu/buTWgihS+t9AhJayLbN6P3bfHt+oOJxuxHxiag/lCqa2u/cmTUlb2XUm9n7790OKGhJWcwWwCb2NBddJeOtW7cCAKanp/HVr341uM/q1avzMD8xMYFrrrkGl1xyCX7wgx9g48aN2GOPPXD66afjnHPOKTW9t8466yysXr0aV199Na677jqMjY3hta99Lc477zwcdNBB3b4/IlpgeRC1Yd+OZl9pVi+8xwt2igOn3MxesN/8yOikbNPtAHjubRPVQfAEgo3ytAB0dtHNBvLY9pcX2fU4/7SUGUBPOT+naeDQQuvsn7vpY6/zvvZ2h9YD4OXz2IsYWksILaHNgHqlEfJNc3z/n437iQktOVAeUQfqKvJun3k/mIbEcRb6R1GjUZ5oCMg+r0ajmBQojoum9nbhKPbUDaH10iqH9WNaAKJB0POp6bZurU5NNzXVdmo6maRIZmUWNKWEVACUgpQKMymQ2EKgOzWd394sGO6X1K+irtjKfNFfPsKMjDAjBWQSm6nplkHJBqAiSDSgEGEWMf4PEaYBzKCYmm7GLEWs49R0vdabqelCAqk5n2puF4SnpmsAsCWd5Wb7uHMbI5t/3h4vdO7Fem1HuTdhXgtA+d/Y3TDvfPEMhXkVmWt35iqBvY6nvDDfUZ95MzWdNkHen7bOfV5xrsXjNBqv7Te/0GGeU9PRoHHnmReimGd+l12yOebHxrJlchJ46Uuz9e285CW7YseOF/t63oOq0QD23LP8l9aGeVvPHB8H/t//A5YvL+acd+eep+EwlFPTERER0UKqq8zbiePh3HcX+2XSBna32m85zWPshTWTugWcaessv8GAEazS5S+p3cOaOewBLczFm0rF3j6/CPOIxoFoPAvu3qB62lTwtTsPvRfQW/WZr7u4xUHzaNSFqvS2Mt/O2Fi1Oj0q7OfkshdLUvNrr5PPkKgVhnki6pjUkVlMX/j8FqaSXK7MSyXaVuaLqesGsU68sNzKvNRAU5n2zfbWH1EcnTXUpt4Tffrkq/8K/KHk/WBp/4zbfdwAb5vYx2Y/u006j1spz0Nfe6LORxGH+sz71w+cWx0Vj5XQ+Sj52t1fJ8XzbGCHaY7vBPc8zLcI7HMJ83PBCwC01NgQL2UxJV0nIV1KYMeO/p/fIGo0gGXLyuvcvvFRlH2OU1Oclo7mjmGeiHqm1M/b7fetBap95LV5jn28sOc6iCpT0+lAMqIR519ECPWVt7cCdqq6jBv0NYqvAO1/zkRgn9i8VqRbhH4g64pTE+ZRCvPFoiMBbZrlR07DAq2TLNNrCSXiPJxrU5mvhGgRl5rPR0DpAoBrLr+CGNppFNm+851UldO0qEKPIv+923EG7OcXRaPbcoF6g2GeiHpGaiApJqk2lXmYEnJ4wDtb4c8HyxthdgA8pU0V3pYo3cWhvIWoGubdW8s+lqgk6j4QAOBOWBEK9ShGyBf2CaZZvrCtEfL9EkDE5rjSeQ2ZB/3K69v7nJqOaE5CA+ExzLcXCvONBqeto95hmCeiRWPDazHy/WKf0eLKgjxK836XlpJ+NfSmpaVVmA+Vy+vUb2/3zMhrzp+Hei/c503rza+E4sDa2U+YwfeSUn94GY0Xwd4L7KV/Olrm+3X8Plh9pxESmjW2br75TirKo9RnPnRxIxTm7QUOe7/ZLMYqlrzeSF1imCciIhpYbhS1lXSXTcDS2Uc7+7qJWQce29Hy3cchc6/ch87YUioKd933Z7tw72sUgZyVdqK+cYO7DZnuEDidVOa1Hp0wL7xfdlGU9Yd3H9tw32gUFXr38yXqFsM8EXXN7QsvTRP5RIl8AdBRM3u/Mq905aVGT96kfrFPhIZDXZ95Ww5yR7O337xjFAPjCWQTGtrtkbOfPwVeHXdbq2RevSAQuafsnJn7458HBnPdIYoB3RDZgHlR9j5lI4GMl0M5U9TZ0e61M+q9tuvR+VR0rQbUc7H/PC1FNtDbsOlW7jtpKu4G2KUuFOZ37ix+h7lN7P3FnWeeqBsM80TUU8UAeG5Y18HqWrVZ+Wj3mQfgNa3n50Gdqgv19n67ZvadHj/E/aZeNzddaFv4tSNvvbBX+eykDhrQ9t+G2aS1rB3NvnRhwN0v+OpVnYR5BnlaykJN7IFqeA3xJ7NZykKfhzu2QCjIE80XwzxRyHwvjfbj0mqS1LdVk7K8zb6+fY7d7i6205ZdQpeKlfL+iqN6P3Q6WkCqGFKZsC4FIN0Rr00ZPq/K22MyvGafR1SEeSWyz680V5eAbfBAtPjq2sT3RqnrvFmE1tkI+27/e6/PvN+hIFtZ9Jn3f9u4VXsiyr4CCJF9hbCB1P657tSoV+abzWy9Hbm+7qsWK/M0VwzzRKHfnIMY5lv9lve32fvuXwd/WaxLwvYLuYqLwCqdCwSjTgsnzCOfq0s7zZ8TRJCIkZpB8BjqR1mrqencW6CojNuG7ArlanmrZvad/pSFKvOxd1x339DXEFH7qCGLcfCU0BA6C99CaAgkWW8eM0Vd3rzeaXrvVuZ97q8fVtpp1NkKvBBF4OykEu8bpQq0//nM5fMi6hbDPBH1n46KS/l5Jd6pPmuG+Zwf5t0hvol6KjRnfV2Y72Ckq9r9NOrDvLuug59zDcQK0LaXgP2lobJR7oUANJI8xPvzzJf6zHvzzWfXzhjiiSz7Z9sN891W5kep2hwK77ZVg3tRZJQucFD/McwT0ZxIp997NhCeu2TbVR7WhRPmiwHvsnnUURQK2cw+o72lxSZe/1haWk04qFsGXRtC7bzxbrvWBqrBvOHsK1AO8L0O81FgQc2tXVq8VwUI03TVPlVocynAtKkXQgLClPFFDGhZhHob4kMV+k7X1eHFAFqC3Cp9t9XmUQquocq8O/L/KH0WtHAY5olosJS6345ouHcveHjVSgnhLMgX5dyy6f0omjW3ftN5oFoBd5u31wVqX6sw7/47De1nLyaEwvw4igsRbnN89wKEP1p+8e8jsl+UdbZFRlnDFmUGy4MAtJCAnoEWcdbM3lbmtSwq+DD/3ALBfUSKikQAqlV3+9hW14Wo7tPKKFbm3Vu3RQOr8tQPDPNEtKiUbYKvAlOyjWyYrzY91oigIZACSBFDAuZ+tvC7AWU6/Uno5U9Mu3+nrV4rby/vHccfjd9l/324bVNG9HcF0QLKG9h1Eea7bZa/lPizADDQUz8wzNPw6fUl3qUwAN4wUFGp4qxlBChAq8iUlENzq4/mF3Rd6UcMSBPgm2Yke3/x5+YmKgv1jw8LN/WfT2Xerg9V5iOUh6Sva+bvHweIEBX/VlQj+x1iKGFaqES24i6gIctT03lVeMkm8kS13FDOMN+ZujBP1EsM80QLba6BvF2Yn8to9p0s7aam04BUOu8rn7j94G213X6z1s5E0TLKplxTkelcz4HeCtUQIxGVmtVLsM/86On0W6D/UxF6LLxt/m27Y7rcf7Oh/ezkcP5IDxrVRux2e5e/D/gPgagnQsHb/RpQt0+r441amOco9rSQGOZpuHUajDsNwd0ct9tjdnPskF12AWZmOjtuaJ75eQf5LkebV3F5gLv8vgn40lTkOVp7G6JUdfejEBER0UJwR7fv1Cg1Ka8bAM+9TdNsYXN76hWGeSJaODoylfgIKs1+/aiOR8keHW54t4PapeZ+4mxPg8+m0TbfPvN16xejmb1/bCAbMK+GU/gXKN/XOpsLQGhZDHLnNbMvbWOTexpBdRV0fzT7birPoxRY7WfjtmCo6zNP1CsM80TUW3aKOY2iw6oyA9zZpaZxghtQmxjdQd38ob+yvvLZ55Mg+4w0gJ0AZrx1CsW45kRERHPlh1KG+db8z8ZW5KOo2lWBqFcY5mlpc/uOt9un3bpu9ulHM/u59JkfVBpQpuKWTzFv7u80u/gjtI/IdwEA5cp8uzCfohrms4XdFqhOrycv7Ndo9nZb6DdBoAWA1yVf6Gyx9wGNqJs544kIQDnUM8zXqwvzdvEfE/UCwzwRLQrl3Lph3l3PMO+G8/Jn5H9eRPMzn5+khQrz7kB6ATXN7PNtAKB11pweqDSzh5blbWxqTyOo15VjVqOJ+othnpaOVhX2uW7r9vXmu60VO5hdN8ftZCT7eZA6ykext/eh7RR0kekjDyDVQCqgTF95W2EGij7hbmXebh/VMA+EK/P2cSjQlx+zKk9ERL3hhvFug/mwz6rbjVCrBSnL3ROUqg6Ap9TofEbUewzzRLSo3DCfomhO7veZH/UwX21Gn31GKYouCSx+EBEREY0OhnkimpesKl8stmmrVlE2/ZzKdtJSQMsoGEj9MA+wMm/Zz0l6j0f186BO+D8drX5aOp1NYhBGsxcAYth56O2ElvmMGDV95nmRi4iIliqGeaJW+tGUvpNB+ULm2szezjNvn28nOa1b2s0zX7nvrVM6D/CQ7v1iLnmNbMT1FNlo7Pb7d4qimf1OMMwD1fDu3vcHCSTq3DAOgOcPhufxwnx5ajp3nddnnn3jiYhoSDHME9GCS73FDfOpc59hvnWYH9XPZFSJnv4Xz46lB6IyP5cwH6i314T50u4apUHuNIM8ERENMYZ5IuotO8e8vxgqsPij2YdGamdwJSIiIiIqMMwTdWuuc9d38/y653X7mq1Gse9kISIiIiKigcQwT9QNN1CPQpgP9ZlvR6NSndcqhkIEhTgf9K6JKB/wzh0ALwGnpgth03oiIiIicjHME1HvddnM3m9az2b2REREREStMczT6PAr160q5HXblkJlnoiIiIiIhh7DPI22unDuBuC6dQsd5sfGgKmp7l5TSqDZzEJ8mmZT09n7O3cW09XZKetCzeyJiIiIiGjgMMzTaPIr1nZdaHvdumGpzC/2gHa2D72ZdqpVM3vbh55T082NajvfNxEREREtFQzzRJ0axjDf7YB3LQe/63AAPCIiIiIi6juGeRptS6kyH6q8D8GUc/71AX/OeYtVZ6JRZX8TCOe+gm3tE+WPo2ImDaA0+KbtMRRpINLSrJPQWgLO49J92Od0+bu6Q/06LhERjQ6GeaJO9TrMdxuq2w1g102Yn2tlnoGaiAaZO3uGc1/YhkUaeWCHlhA20AMQTpgXWuaHES1Ct3BuRWB963OVLY/d9ukinvNziYhoaWCYJ7IWqjJvQ/eghHkioqUkEObL62y5XhaL+9jez4/Xpwq6+3pzxUBPRDTSGOZptPWrmX0noZthnoiIiIiI5ohhnpaOdvPF1wXzJMnW2dvQSPcAMDNTDsDdBmt/W7dBemamOMdOX9MN7Wkann6OgZ6IlqpgZd7e70Nl3u7bScVcJdkyVyIOv84gVesH6VyIiJYghnkiIiIaCdkAeNl9rTXg9Jmv3DfPabQI3MqEVSXi/L67vpWGSiDnEeZ1B2G+k/NopxfHICKi/mCYJyIioj6rawHkzlshAuv9YeWqo9nbx9mo9lG5+i7KixAC2hwi2y2tP+VOQmw03n6fuqdq2dGI9gzTRERUh2GeaFi0axLfy9Hsg3PMB+acL922WOd8uxaBBSi+e3eD094TDZPQ769QmHf3E7CTzxX3Y3OrnPt5lC+eqQSEOWY+GYcAYvMyOsoWRFmgF5GEirJKeRSN56PFRzWBXYkYkamsz6UyH8fLEMmZ6gb3uS2OMyi//3ixgYho8TDM09Ln943313XaZz7U37zOfPvMh7YJAezc2d1z/PNN02K924fe3g+9xzmGeaG1acZaf8pEtBTomvt12/0O7HXDz/sd3kPH1S22O2wh3y3um4flZ9vf+QmECal108wJp5m7EHG+f76tDaESiFAzey/M1x6rVTP7Nufu4zR3RETDiWGehl+r0eXrgnlovT9Ynv+cdgPHuY/7EeZt2O5G3TnPtypPRDRnyrvfbTN797Y+zJfmfjfXFSOt8pfznylKdX0JiDZN4L0w322T+06b2ddp9ZuY1XIiotHAME9ERESLqF1l3gZeYe575XVo89gN48UzKi9jB5z3CvtCm3UwLYvyPkDhQeqEQCnMx06VvRKlA+E6jpdhLJ2qbnfua6/5vrtPqwHw8pEFOgz1rSrz7Y7RcruIkc5jXAEiImqNYZ6IiIj6qNX0l25lXqMayP3KvA2Otp+8fU6KaqNykVfbS0dRxSO3uu22A1BAHuZVTWskFQloW70XsvWAeaH+9FpCmMp8XZW91LrAoWvWFzt0V/FveSxW+YmIBhbDPFEdKatN5xezmf1c5oTvtpk9EVHPtRrJvjRkHToP8zHKVXxp1tn9q1X6nFOhF84piAiI7NOi4lCiJumKSOf7yAjBZvn5dQNnW94H3u0zXzfoXaDPvBZxoK+/d24mzPunzr7xRERLC8M8USc6Cb9LIcyzbzwRDSy3XXyK4iuMfeyGeSDQ2B1w9sgn2pDOCvf6gPCeEDodG/i1/T/vtQLHECbYCzkDYUeztyHbbzrvhXnNJutERORgmCcCIP7nf8ojvdsR3t3wmyQLG+b97cuXQ+zY0dkb8o8TGs1+zlPSdTo1nbNwSHuiIdevljv+AHjKW19tOp+tt2G+mJau3Ew/crajtJ8wX30qGV2ZSj3Kg+HVjmbvVu+j8I5xIMxrE/o1fgPdFFlz/lJz/aKJP0S5ZYC2U+aJGDIar+0zL0zoF374r7kYULlIwAo+EdFQYJgnqtNts/R+h/mFrswTES2I0Gj2dn1onRv4rRTlYO/2p4e3zR6zGljd7N32t6Dy7odSv/+S7n2ZLcLtGC+cxTwuNfPXCXRsgrftF8/gTUQ0shjmabTUTT/XKuiG1g1bmCciIqOzi5XtWtl3dMhWL1U/q165K4D3HKFl1sK/1SB3dpu/j24zUB8REQ0VhnmiToSCfJJU9wndDx2rk3387XFcfc1Oz9ve95vZ264D7gUNrcu3vBhARIuiXWXem1uu7bGsUMf4shbD59XvHzqNQN62Teh1mi1+Jd5/rErN7AGlJRBJSBvM/XAu4nz+ev/ltdleOSfvsXKa3esOR8bn3PZERAuPYZ5oPuoC/CBW5lu1NGjXP56IaGCEmtmbNuuVoG4fu6E9de7XdHb39uh2ixX87WlW2jCvA2E+nxbPOz2hTQcCDQjI8JR4ZrR7AJWR8O12oDyyfaXKzyb8RERDgWGeli6/Kb1dQttCFWy7ANmtPwCefWwNYmXefz2/Mi9luRLPIE80UkSPB7br/jeG+/qhKrwvchY7lV0DxaB4bh95/9YP9rZPvR0Yzw2ubWdyrxkrv3O6CQiI7Nesdj47J9xLDajSCHjFmKIRABWJ6pR47mN/WjsgH0Cv9N/KC/NuNd7eZ+WdiGjwMMzTkiVNoUYm2S3sLVAUcZJsESmAxA29KnucmnX2cSnMa0A5X4fq7vvstnb7eNuTWCFJ5hCu3dezBSmFYkqm7Ntddqta3CoBqQUDPhEtIjfg70Q5zLtfaepHsy/vF9fcd/evU3d8f596blE+/83q9BzQ3vUM7czGZ5v2a/9lBSCQXfgNVuaj8cqlCs1KPBHRUGKYpyXHLb5DFrf5Ai/gJ4BIIyA134gUsvvuOnvfdte0+/ijGbv36yrvoRaioX287ckcC/OVmZ6A4suihAnyJqQrcytRvlWiuBBiQr3UgNQ6v09E1Dt1vyDzK5DmsY2lbhN7oPVo9u5+db/EOwnzdcf39wGKVgSo2c8L1866cuhGd0MFEBHRksYwTyNNSiCfW9gPva3W+dsRuF/3XXSOYV6qbOmaH+Dd+zbElx7X3dpRm0QpxGcLAz0RLYbQL2N3W91zLF1zv5Mwb/frZP9qmBeIEHXwGsqJ80IHAn3gd6/If9cH+sJrWZl6T2hZ6kNPRETDgWGelrwk0MzeVuZlE0AKiFQAqR1xyNx319n7ylnsY8u/7z4GnL7rHTaz95qzJ7FGks4hMdvjaKfpvu0PL70gnze/F+VbJbL75r1JpcxzdPm2s0mciIgCOvn95lfmgez3ThPVMC0RDttuwHV/Z/nN7Nvpppm9DfNuqB93nldfrS9NUa/M49C4fnD+7JjtwYHt7NR27mov4NvnafcYDPtERAOHYZ4IpuKtnDDvLu66VBf92VONln3m/bDuh/hWfc8Dg8/JVEO2ugDQ6lj21g/zNrx3uiC7rVbldX6fiKieXy13B63rRCj42sp8aH0obNcNutdtWK0L86Hm9KEwH0Hkzwt/Hcu2lt9XPmBei8p8/ucjMLCdNmHe1dnkc0RENGgY5omwQGHeDdXubUgozMsFDPMqdOs2sw8FerCpPRENkE6a2TtN2OfUCX1+Yb78POHtb/f2R8FD1j1MAMprAWaHedH572vvqYEwz1HqiYiGF8M8jR4zHZ1MJGSa3e7caUanB4qgnphboHicoCgCzapy4HbvK4nqMMQqfBuiVWW/ZSrCTNLs/v3mYd47Zj7AnV200/xelW9L0+4BMjXhPQUSJSClxkxajEFQ7ocPlB8INsYnoh5rN6BIqHLv6/Y3k0b7MO+2hw+FeeHs504qXwT8yEvkCrb7E8JvWzjvRHi3ppl9eX+GeSKiYcUwTyPFjmyfJFl/eZmaQBrqM18K8zAj3zuV+TwIB8K5UtWwPs8wnwiJJG33hbXmWPkx3co8nPegy4s/dV1pvCiRDcaX37IiT0SZbuet13Oa577uOX5Yr3tc99WnLszXXQSoa8bv3tpzDYX5GEWIV94xYucY5bAd2aq9GbzVLc5HujpcCxERLV1dh/mbbroJDz74IB599FE88cQTaDab+OxnP4sTTzwxuP/U1BTWr1+P2267Dc899xz23HNPvO1tb8O5556LycnJ4HNuvvlmXH311fjFL36BsbExHHzwwTjvvPPw6le/utvTJaqV2CCfADvNFHUyn3YO2RTGdl72VACJANIY+cjuaWzCb9H8PKd0+bG7XQsTrFt84/JGjweyf6xTzTl8Syu9rg3zZikNgOcsLcN8uTIvNSClcPbVxRR3RERERETUF12H+S996UvYunUrVq1ahb322gtbt26t3Xd6ehof/OAHsWnTJhx11FE47rjj8Pjjj+Oqq67Cfffdh2uvvRYTExOl53z1q1/FF7/4RbzsZS/D+973PkxPT+OWW27B+9//fnzta1/D4Ycf3v27pJElZXk0ezuKfdJ0wrxZkHph3i4wt3kTcpQDrzMwXE55j+HtVzNoUWlf5VXmI4VkLnPTdVSZR1dhvtz33r11F1vpd4dX1mxkT0SOuVTm53uMtGZ9t5V5d1vdqPRuZd5/DfcPhf8e/P1qXls709DBVOZbnC0RES0tXYf5T33qU9hnn32wevVqXH755fj85z9fu+8VV1yBTZs2Yd26dbjgggvy9RdffDEuvfRSXHHFFTjvvPPy9Zs3b8b69euxZs0a3HjjjVixYgUA4NRTT8XJJ5+MCy+8ELfeeisaDfYOoC6ZfvL5orJFJolZACTShHkFpBJyp9PMXiELtlJlg9BpnX0fdAeqK/WZ16hUpktBWmfnUEerYrvtM69jzCTzGHO4dOFBoHJBIp9z3jazN+3ntfft0K4Hss/HVvjtqclsijutImgVAVpAIfIWIqJe6dVvlG4vNHbyuvMP86HfmKqrGQCIiGip6joVH3nkkR3tp7XGDTfcgImJCZx99tmlbWeccQa+8Y1v4MYbb8S5554LIbI/Whs2bECapjjrrLPyIA8Ar3jFK/Cud70L119/Pe69914cffTR3Z42UYlU2WKr8kmiIHdqKAUo0z9eJREgTV9FVTxJKQ1oBZEi2Lc9219U+sQL81hold1v1bHR3W6e97yKoZKxub9p91yBosIerMybEC8j+APgCbseMBc0ACGdwJ8iC/OyYT6HuZ8yES1tAmqAfkX0IswzZBMR0cLpW4l78+bNePbZZ3H00UdXmtIvW7YMhx56KH74wx9iy5YtWLNmDQBg48aNAICjjjqqcrw3vvGNuP7663H//fczzFPP2FDfTLMQnyYaKtWIpM76yadRHm5FKiBM1TnrMx+1aGYftW9mr1p86XO328YBSgCJXTeX5vbeOYZCfH5uJoRLUT3XUmUeRWXeDfO13QgG52s7EQ2jVr/7/G3tBsTz9WIAPH/dfAbAC81B752LMocs92bKf9XaJvj8zUtEtDT1Lcxv2bIFAPKg7ttnn33y/ew+mzdvxsTEBPbcc8/a/Tdv3tzydVeuXIko4pXxJU3K8n37OElKm2WSTTs3FpmO80mCZCZbp5MEOpZI4whRnCCNZyDjCKnOmoVrnULondBaZa3jdTbVnJIRtK3MSwloDaEVlBZ55R0AhErbVuaFquu3afa12+3zmgqAqczPdXC5UmVe59V6Yav2drED+MlGuM+87btvQ732Bwlwv10CdkRmOxyBQPE1NkbxNVYCGEMEDWGGKCiOoQJftPkFdWka40QrI0XPs5pd93x/ffvXCYf5+uM3UA3z/jo/iLthHihCe+ysF95Sc96xOXxcnHoUAXEMCPMUEWd/M7SZfk7Hy4FoPHts1qloHFG8PHts1slo3B4gvx/bdR47T31wvnoRI6p5Ho2O8fFdF/sUFoQQ2RKbfwpxDIyNAY1GsYyPAy95SbZMTGS3k5PAqlXZMjkJrFyZ3cacNXKorFq1alFet2/fmLZv3w4AtSPW2/V2PyAb+X633XZruf/U1FTL1922bVvX50pDpsswP7UtC/NyxoT5VGJqKsHMTomp7VNo7myiub0J7GwibUZIJQCZQpoqfaoEoATiVABNDa00hNYQqQaUhpYaSmfNz5UZ7C1S5UGJgOKxMAMWRS0KTO72/HljDTNSH+YR5p3nOeFdOEu5Mo9KmBcaELaZvekoLyrhvfwFOBtyQJtxCAVmAUwjC/azznOaAJqm2W2z/LIM8yNiDA00awcoo6VovmG+vnLe78q8u61uajr32Nq5taS3PvIe+1dTo/JTFUphXpneYbYxlYqbAAAtzG08Cx0I8zKeBUSch35lArgWcX5fzjHMpwzzI218fFckyYuLfRoLIhTmm01dmvkXAHbsAJYvzx4LAUxNFWG/2cx6NjabDPPDZNWqVXjhhRf6ctx2WP4gqqG0gNICqYqgpIBIG0AKE+YVRCqgJKBlUZkvwny5Ug9UK/NRiz7z7nb7vAgRtJ2abi7N7P3nBYK8rdALJU1feMAfLTmL7fbcG846c1iUh3WyX0fd6wLuQkRERERE3etbmLcD2NVV0u16d6C7ycnJUqU+tH9dpZ9oLqQC0hRQOwGdRkhSW5mP0GxqU6mPoKSGaEZQs8Jk4Agi1UjtwPhaQGggNeWQSGkIbx55+1hoAaEFIlVfV3a32+ftMhZjNrHN2uc4vZv7PJ01dq+EeSgICAgoCBO33Vdzg7vfKBSojt3sh/oE+Rh5lUDPcE9ERERE1Jm+hfl2fdxtn3q7H5D1r3/44Yfx3HPPVfrNt+uDTzQXaQroFJBKQCuBVAkkEoikgJICSmooGWWzxEmFJM2a2WuloZsCqVeZ35k2oLWAkHEHlfn69lPudhuoZ1OBJLXxea6xtxqdbWgvwruGQGoeZ7FboOjaIKDzoB7n66oTL4UuNyhkYV4ia16fImtObzXBpvNERERERJ3o20hxa9aswV577YWHHnoI09PTpW2zs7N44IEHsNdee5XC/GGHHQYAuPvuuyvHu/POO0v7EPWEks5c6/40bU4nJ9P8XCmNVGokaTYCfjN1prdz1tklbar6RbZYlEIKb0l1dV3XC7peZIulm+M0vYVVeCIiIiKiuetbZV4IgZNPPhmXXnopLr30UlxwwQX5tssuuwzbtm3D2Wefnc8xDwAnnngirrzySnzlK1/BW97ylrwJ/s9//nPcdNNN2HvvvXHEEUf065SJqux060pAygiJ1EjTrKKfzkalyrxWGrO2Mo8or3TbgduKJuvZ+ggtKvPOdvu8cQg08+f0on7dWWVeVCrztmIPRPkAeJ1X5rPB8LIKvT+0k9vsnmGfiOan298ivZhn3l/ndzwS3jbt7Rc6l5oB8IDi4vMce14REdFw6zrM33DDDXjwwQcBAE888US+zs4Rf+yxx+LYY48FAKxbtw4/+tGPcMUVV2DTpk145Stficcffxx33HEHDjjgAKxbt6507H333RfnnHMOLrroIpxwwgl4+9vfjunpadxyyy1I0xSf/OQn0WhwzD5aWNlAeFmgT9IYs02B2UQgndWmf70J89BQZloimc8bbCcBBiInPJfnIg6+qrPd/TJoQ3UvG6P7Q9Jp2F7t7cN8atbJ0sUKe7atXi1E1qwnoqVLzPPSXe9+G/Y6zHOaXCIi6q+uk/GDDz6I73znO6V1Dz30EB566CEAwOrVq/MwPzExgWuuuQaXXHIJfvCDH2Djxo3YY489cPrpp+Occ87BxMRE5fhnnXUWVq9ejauvvhrXXXcdxsbG8NrXvhbnnXceDjrooLm8R6J5szPglZZUm2nwtPn6lpVIdN96fff6uP7QdP6S9Y7XgXmOhXkcmVu3H31xy9o6EREREVG/CK3nOmH1YOrHHH80YHo4z/yv/3cb5LRC88kd0GmKnc0YSQpEMoXcqZEmGrNpjNlZIJ1NsWOHLirzO1VWmc+b0msADWhEUPkEwK0q863m0na3h8Z778U/W7d5Z6gyD5THnS/OobPKfPdhvlVlnvPMjwbOM0/d6nye+l7PM99AdZ55d10DRc3EXhR1L44uRzG3fMM5BpANL2of71J5TYXI/K0R0HHxNBUBaQyoKHsvdpxVO5GJjkXNPPPLOc889cWozzO/YoXO55BvNICxMWDFCmCPPYCJCWByEvjt3wZ23RXYc8/s8cqV2S3nmR8enGeeaBBpBehsijmhFIRKIZRwltREeImiCbyEQIS4NKO6P0nbXMO8rZi76+Yj1FvdhnkVWF+wX55l/sUzVJkvP6MTDOdERERERJ1hmCcK0YBQEkJpCAVzqyCkhpACQkYQumkCq4SAAJCaBvcR0JcwHwXW9ZIb2kNN8ImIiIiIaFAwzBN1KJsf3lTqtR0IDsgagAsAKu8931mYbxXI68Z17+dY7+3OiYiIiIiIBgXDPNE8sW6d0d4tZ0oiIiIiIuofhnmiDmRV+XBlXiyZyjwREREREQ0LhnmivhnGMO8flxcNiIiIiIgGEcM8UYc6qcyDlXkiIiIi6pKdbdmddZnmblSm9mOYJ+qGVoCdqg6pCfPFaPYZO5q9naN9WEazJyIiIiKiYcEwT9RTrMwTERER0dywMt97S7lKzzBP1HMa4fnZu5m73d3uP89dR0REREREo4hhnqjvbJXeBnDb/N7ehqTwm9THiCAHrpl9dh5iYM6HiIiIaDixz3zvLeWqPMAwT7RA3DCv0L6pfbWZvXDuD0qYZ4gnIiIimjulqoPfMczPzVIP7iEM80QLordhniGaiIiIaGlKktEMpvPlfmb2fhyXl6WGYZ6IiIiIiGgRuJX5JCkW6t74eHHfBvfx8WJhmCciIiIiIqKuaZ2Fd7ukaRHeZ2ayQL8UA2c/+J/TqH5uDPNERERERESLxK/OU3uhMO82rbeW+vgDDPNERERERESLRKkixI9qhblb7cK82+R+KWOYJyIiIiIi6iGtw4vbzN5tah9F2e309GKf+WCIou62xzGwfHkR6t37SznYM8wTEREREREtEluZj6L2IXZUdBvm7WN35Prly/tzboOEYZ6IiIiIiKjHpqcFGg2UFluhn5jIlmYzW2/DKMN8xn4Ou++ua7e7n5W932hkQd6OQbDUMcwTDTzt3GpvHRER0eCK9Ah8m+6SEuwUPSrqmtg3m0Uf+fHxcjBlmM/Yz6Guuh5F5ebz9mKJUv0/t0HCME9ERERERNQnfqBvNrP1aVrswxBfZj8PIcLbGg1gl12yW6AI9uPj2bokye4v9Qo9wzwREREREVGf+QPgNZsc8K5Oq8p8o1GEdxvmlSpaOETR0g/xFsM8ERER0VJiemJFtrmpqWwpoaGRACKGdpt628dmnTBN47WI8/uoaS4v7HNCTcdFHF7fLyLuaRN2zebwNA+hJvZAFjCjKKs4CzEagXMu7OcTutgxPl6Ed3s7ik3sAYb5gdLuHzP/sRvSu28fm75H9nOSiVnMPlICUhULERFRf3lpGsLbpr39ULOfe99ri+sPp6K9be5RNbJUAVm8gpaAlsGRWLTdDkA7YZ59vom6F5qaTgjzT5IqbJi3YwtYbvXdfo7AaAZ5gGF+4LQK7AzzRl2YtyHeueVnRkRES1oXYb7YngX6bF0W5kVgd2G3o6jW5+u9+4FurS3Xd4MVchpmfnXer8xTmP18du7MHruj1dsqPMM8w/xA84Mog6nRZZh3K/NERERLihPghTaL3Wa+3GqzQjjJWwsb3bNm926T+Dw6ixixnAEAyKgYNtqtzNv7wWr9XJu9e8/pOMw7r9eLCwDKvGf3vRN1y29mL0QWTFmRb82G+dnZ7LEN8+6ggbZq3xjhRDvCb33xueGyFDwD20OPR1abZvZERETDQXm3lnDWp/BFiABEEOY2D+0QgACUVy7XbvVPm8e2H70GJGbyQF8+jeJxVNPMvlWYV9F4x33m3ecHWwh0wH2e/xxW96nfbDh3Q7pblbfSlN/pQ/xWCjbM+1P2xXE2cOBMdp0Rk5MLd46DiGF+gDDMd6hNZd7dxs+MiIhGhkYW7P22736yFeV1AoAWEhCyul9+bGebN3heZZ37nC6q6vndUGW+1XHsIHzOKXdyQYABn/rBbe5tm9T7TcDZvL5KOC2I3CAf+uz8CySjjGGeiIiIqGt+Nd0+dgeos/eFuS+cdSmyq9CRs69bkbeP3cq8+/wqoQViGSH2omzepT5yDmsr85GAirxqvVvRzy8IFM3f3CDifgGvnE+oMl8TzEXoAgGcIB+q/Puh3z2et2/oe3/bPBUYL6C0mRcDqEMMnnPjhnateREkhGF+wElZNCNhldnotJm9LEa0hx3ZPkX1+xcREVEw7rVa7/4Bipx9Q/dDYT5CEealsx+Q9Vp3Q7+1zKyPAQhEGEf2Va4owUdoETAVKn8DlW2qb85YC0CJqDgdL+CXTtNZrwJfstM4qa4XgN8yAACacbHdnzZPRuOA32/dnfbOuRV2v5qLCAzg1G9+cFequo6htMp+Jv7ggHbUfwpjmB8gSVJtZi9lMbgDw7zRRZivNL0nIiJacP6Q8/762mHna/a3bentFWr7dW5+X+sE7PR15VcEUHuJwK4PhXkRBdabIK/99bG73fnjHUmoOMmvbdgwrqLxojLv3NpB6yqh3QZ5v+rfQmQHwIuX5+tU4PkdDfLHiwgjzQ/zrNRX+S1+/DDvDhzoDyo4yhjmh4g/z+LI6jbMSwBpVpW3lXmZcq55IiLqldBAdqE/Mm6CTVFU3VNve11lPjXr3Sp/5OzbADDW4jwj+M8Rpccif/VuhcKJkAIK4bYN1TCfrdCRty1CqZGDimzT95lKFd4N56F+98KrzFcq+97+RN1iSJ8fVuC7xzA/gIJTqznrRz7UdxrmlbOY70ylMJ/yih4RES0UW013+9anzn1X6qyb9da7+/th3u137/L3L4jKfv4+oT76bveB0HGyfcbR8I7n7KXL+6o09JU0e54SyK8wqEhkjyNARrPZfTuCvwBUXsH3DiVEXpm3U82paDxb5zbhdy4MqPyp1dH77T7uulYV+jlN0UdE1AbDPBEREY2Ahbh663dK94OwX3KuC/N16/w++v6t/xr+seoHzyu214X50AWBVq8bAZUwby82uC0PgCzZBzrS2yPrKH/rQmdF/HyIQBPghTmKvUhQnZoueGiivmO1vjuhqf2oHsP8gHKr8n5l3p/CbuTUVeb9qXgDlXn7WJpFBwYDIiIi6o9Q/3cgPMBLaF1diO80zLfTqzDvD/Tnh3l3cEAg+zrqjuAf4A8hEBhWIO/zj3DTfiKipYZhfkjYUe3tgHh+8/B2j5cUv0uifdxFmLf3U7M+VRG0ipCqCEprQAsoLaD4bYCIiDrm/yGqF0FBdbG/fVb51l8PdDDhWpvj+2F+3NkGVMN5oAl9Kcw3UB/mhbO/Xd/mq6nN/K3GCESgMt/6qEREQ4lhfggpVYT1drdLUg/DvEpgwryAVia8hwYWJiKigST63Lxq7n8OWgf1CPDCfKfV83Z63Z489Pn26lyJiGg+GOaHjJRZUE/N3/+ehXm1AO32e/Ua7nGUzB+LNKnuZ5c0ybabx/a+2qkgFLL29lpBaEBoDaGVWbRZp5xFZOugTC1BQZQGNarv90dERDR/rf7IL0SYbzdSv3D28/d1/0YW+0XBGQEy2uxBRERlDPNDLE3nH+btfmKhxgXq9XGc7wmiTWVeOJV5kWbvuZlkt1JFEG7Teue+yu87CwCF4paIiJamuVf+Wz8va2Re/OHSHYXVun26bWbfTTD23wdDNRHRoGCYH0K2mb3f3N6Ge/d+iHAq20WYD1fNhZL5Ml/tjuFvr92/J5X57I2rmRRCK6jpnRCyCZFGEFJDyBSYTRE1FSIVoZGmkDJBpDQiZWflTc1XGncEPtsHUKBo12+32caaHHWPiIiIiIjmh2F+iNhR7N0g7za3T5IixIeq9pZbhW9XmReqWOar3TH87bX7K2+fbirzpj+8PbZOBYTO5rcVUgNSQEmNSGoILSsVeXamJyKiweP+wex3M/u6C9Lza2Zf7MeWAEREnWKYH0ZK5n/3VAqoVEIpQCbmsQJSZ8T7xCtYR2lSCfq2Ch6qjkdpgsipendcQfe0rcxr2fJxzl9vHlf217JYlERkvx9oIDJvXM42s3XTKSKZfY5aaQilEDUV0hRIFaCaGmkqoJXOutfDNq9nuCciIiIiooXHMD9EbOU9TYv7iRfg0xTYuTNb7BR2O36ThVylgZkmIGQCbedhtVO4mNCbB2JzG6kEkUoQy5n8PDoO3Z52+3Ue5r2r9vkgdf7xUIxMr3SxXWtEedP8rCogdsQQSmQtHrSAUApxM4Kwr5UoINVQswpZ/Jdm4Dvt9Ke08d5WHfxKg9/MvlVz+1CVgtUJIiIiIiLKMMwPAymzbtl5/pNeHvQflxelJJTOKsxpExBSQussLOehXsk80ANFkBYqyRbpVOZrKuPttA/zynvcWdXbBvn6MK+zQe+c+WiFzoKxSM3KZgNCKehSmNfFOTUVdAoAChrazA9cHgCPUZuIiIiIiBYKw/yQygals/3ZZalve76kMt9uZl7LLgrIBNCAkhLahPRWYT5SCbTcWby2F5qjDkN3u90q2zttwR4I8oAb3oUJ87ajfFGlF8r015MRhPmMsjAPKBkVx5ARtIoQQZhiv4BkM3siIiIiIlokDPNDTql8ivTKKPdpIqFSiaQpIc066TSz12mSh/msw30R7oWytwqRBCK3qO7lV63LVW9XKWS3y72VMN/ZqHtCKejAvtp/bXcf/7WmUwiVdYbXWgBKQadpfgEg0omZQigxDeuz/2WVelW8RN6uf77N7ImIiIiIiOoxzI+ArOKOvIJdPC4q8dASWhfVeWEGiAuOZh8I7JUwn9+2CNCV81Te/h0GXaUqTfTtedW9dqWSb1orQBfN7COV5v3hI6QQSBEhBSAgoKDN1HPKHDzrQy/yR63DPBERERER0dwxzA+zvK98uM+8SJOsib1MivVOM3vIBKpZVOa1kkDahJhGnj2FNM9xpn2rTCHnVr2l2dE8Ft2E8zmGeaHDYb587NaPhbNBQJgqfOpcm7A95CVsUC/W9XoaICIiIqrlDnALlP+m1xUOdNZBTsMZw0dnHebcsX/s00vra8b88SfYa/VtwB03qJNvDVrEHexFRKOOYX6J8JvYZ6OyF4vWxXrI7LE289YDZp2Z3k7sBNQMAA3EEmg0gUZa//cxqvy/vdV5nRrmcZ1iKDk3lLcL87Z5e1Elr+e/dvsLBdK9goEmsisa9gNrNQq9Rj65ff448faxt62OQ0RENOjs36vQPPP276j77cCONxOhGmv9oWQjALGZOca2e4sAHSGyhxZAFAGqTbLWDZimhCmUebKKZqovmz8/hjKButmYLN6tG7LNPnadahHAVTReu610nuYY2u7vHdN/De28/ry0OMZ8LixEWiLqcKDknrwPohHDMD9q8rnXzX3TNx4qgVAqq7rbZvU2k3aUK20YzyZuE6VQ6+4Tfl64D3ka2N9/rr1tFebnMkidPaZ7Ln6Y978x2Pfs943X3rHaX7AoX9Rwm/Ez5BMR0WJodyHaD/N2vxTVtBw5C5B9HY0C67Mwn92z68bzfWywh3SfUyNx2+CZd2JXudcV8lsJJbK/+ePx8/lzlfM2lXlpJYolF3kh3A3zfgB37tv9VLy8si1/7KzT3uOKDvdt9U3Jvi22FiAaPAzzI0j7lXqgmMZOZk3rpUTezL6z1u62Fm+uKJsr73Hpz0OoYZkILK3295/rH2O+7Jt1Q3noNdzXchvlcXR7IiJaTJ38Harbx/ata7Wvu09dgHZTcihoh8K8u959/pi5b0N9E0X49y8C1J2DfVxuP1jMWNPmU/O/brjrI0CIYiletvw5CpG1AlAim2SndBz31KMscEdemLdBWthA7j+u4QZwIeLaQC4CFf9iY/Y8f59Wr1WsdMZnco5HRL3BME894lfWe1GZ76yZffuR4bupZocGrAOq4Z6IiGgUuS3X5hPm3f2kt78fxO3rAuW/x7LFa/jHCDVzL54TKgfYyBlrkb+0+03A/eahYSrzoVNHEeCVe2u3OfuqyFRV4qR8YuY2jcZLYb5tM/uayrwf1v2A7W5P4+VtWwAoEQe/JfnN7NmUnqi3GOaplmibX21Yl6g2J7dNwpvO/n6oDgX5fjSzn0vT9FYXHlodk6PWExFR9zrpRrU4l5T9v8V+M3h/m8t+kfCr/d2E+cR7jq3Iu6P1uOdU1w9/3LmfVfRFpWpf11y/7qJFXN7m97SDu0mY1aKy2f3vKgFgDFAx8pYASggo8zJRlADCuQAgwv3oc254dyvzgcp7SWh7m7EBiu4LDOxEC4VhnnqgGFZW5LftKu3udolqmPf7rIcsdJiv6/fuYwWfiIh6r1fjpnT3V2o+r6nQOvD7wdvuH+rMXncBwa5rF+bdc2kEntNNmLePYxRfpef+lbrS4l5lTfbz5vj+W3Iq+9l/S+lvzrGfO9HSxjBPPeI2q3dHzvMDvD84XF2YtwPOtXtNe5t6j0P7daOuMj/XY4bfCwe0IyKi0WP/9tWNdRNa785DF6r011XP/QBf7F+8Sqdh3r+wUBfmi4H7ildwxwVo/c61GbfIhnkhBBA76d3rty8qTfqL7xz5hRtTXdfROCvnREsIwzzNg0YEicgJ4gIpRCmc+83s24V5+weoLsyHAnU/wnxvMbQTEdGg6O5vUlJ6pFuOGt9mRPmO95nLgLbtwrw/Wn6o2t5A+KtxuzBfNP0vLgz4gbkBIEZUG/6zVgiRfa4qf6uJzANlGitoBaS24YLf1MLtj6/TbNA9e8qtpoljyCcaOgzzNIBaDWhXF+Zb9WdnkCYiIiIioqWFYZ4GRLvB8Nz9/Pt1Yb6Yn52IiIiIiGgpYZgnIiIioo60ukDeu+Ff59LMfr46af5PRDRY+JuLiIiIiIiIaMgMbJh/5JFH8Kd/+qc47LDDcPDBB+Okk07CzTffvNinRURERERERLToBrKZ/X333YcPf/jDGBsbw3HHHYcVK1bgtttuw8c+9jFs3boVZ5555mKfIhEREREREdGiGbgwn6YpLrzwQggh8M1vfhMHHnggAODss8/G+973Pqxfvx7veMc7sGbNmsU9USIiIiIiIqJFMnDN7O+99148+eSTOP744/MgDwCTk5P4yEc+gjRNsWHDhkU8QyIiIiIiIqLFNXBhfuPGjQCAo48+urLtqKOOKu1DRERERERENIoGLsxv3rwZALDPPvtUtq1cuRKrVq3Cli1bFvisiIiIiIiIiAbHwPWZn5qaAgCsWLEiuH1ychL/+7//W/v8VatW9eW8FsJv/dZinwERERERUS8tX+wTIOq7xcqgA1eZJyIiIiIiIqLWBi7MT05OAgC2b98e3D41NVVbtSciIiIiIiIaBQMX5u2Uc6F+8du2bcMLL7wQ7E9PRERERERENCoGLswfdthhAIC77rqrsu3uu+8GALz+9a9f0HMiIiIiIiIiGiQDF+bf8IY34OUvfzm++93vYtOmTfn6qakpfPnLX0aj0cB73vOeRTxDIiIiIiIiosUltNZ6sU/Cd++992LdunUYGxvD8ccfj8nJSdx22214+umn8dGPfhRnnXXWYp8iERERERER0aIZyDAPAI888gguvvhi/PSnP0Wz2cR+++2H0047DSeccMJinxpRTzzyyCNYv3595Wf8D/7gDzp6/gMPPIDbb78dGzduxNatWzE9PY3Vq1fjLW95C8444wy89KUv7fM7IGpvvj/nvmaziZNOOgmPP/449t13X3z/+9/v8RkTda9XP+dTU1O48sorcdttt+Gpp57C2NgYXv7yl+Mtb3kLzjnnnD6dPVFnevFz/pvf/AZf//rXcfvtt+Ppp5/G+Pg4fud3fgfvec97cPLJJ2PZsmV9fAdErd1000148MEH8eijj+KJJ55As9nEZz/7WZx44oldHUcphWuvvRbf+ta3sGXLFkxMTODwww/H+eefn48P1ysDG+aJlrL77rsPH/7whzE2NobjjjsOK1asyFufnH/++TjzzDPbHuOoo47CCy+8gNe97nU44IADIITAxo0b8Z//+Z/Ye++9cf3112P33XdfgHdDFNaLn3Pfl770JVx11VWYnp5mmKeB0Kuf81/96lc47bTT8NRTT+HII4/EAQccgCRJ8OSTT+JXv/oVbr755j6/E6J6vfg5/81vfoMTTzwRTz31FF73utfhNa95DZIkwR133IEnn3wSRxxxBL7+9a8jigauFzCNiDe/+c3YunUrVq1ahYmJCWzdunVOYf5v//Zv8S//8i/Yb7/9cMwxx+DXv/41vve972HZsmW4/vrrsd9++/XupDURLahms6mPPfZY/apXvUo/9thj+frt27fr4447Th944IH6l7/8ZdvjXHbZZfqZZ54prVNK6b/7u7/Ta9eu1X//93/f61Mn6livfs5djz76qD7wwAP1P//zP+u1a9fqt7/97T0+a6Lu9OrnPE1T/d73vlcfdNBB+p577gm+DtFi6dXP+eWXX67Xrl2rP/OZz5TWz87O6ve+97167dq1euPGjb0+faKO3X333frpp5/WWmffs9euXau//e1vd3WMe+65R69du1b/0R/9kZ6dnc3X/+QnP9H777+//sAHPtDTc+alL6IFdu+99+LJJ5/E8ccfjwMPPDBfPzk5iY985CNI0xQbNmxoe5w/+7M/w1577VVaJ4TARz7yEQDA/fff39sTJ+pCr37OrSRJ8Jd/+Zd4zWtegw9+8IP9OGWirvXq5/wHP/gB/uM//gMf+tCHcMQRR1S2NxqNnp43UTd69XP+1FNPAQCOOeaY0vrx8XEcddRRAIBf//rXPTxzou4ceeSRWL169byOccMNNwAAPvrRj2J8fDxf/4Y3vAFHH3007r//fvzyl7+c12u4GOaJFtjGjRsBAEcffXRlm/1jZveZC/ulL47jOR+DaL56/XN+ySWXYMuWLfj0pz8NIURvTpJonnr1c/69730PAPCOd7wD//M//4PrrrsOl19+OW699Vbs2LGjh2dM1L1e/Zy/4hWvAADceeedpfXNZhM/+clPsMsuu+C1r33tfE+XaFHdd999mJiYwCGHHFLZZv8N9bLgxku9RAts8+bNAIB99tmnsm3lypVYtWoVtmzZMufjf/vb3wZQ/IElWgy9/Dl/5JFHcMUVV+D888/Hvvvu28vTJJqXXv2cP/roowCABx98EJ/97GeRJEm+bbfddsNFF12Eww8/vDcnTdSlXv2cn3zyybjppptw5ZVX4tFHH8WrXvUqNJtN3Hnnndi2bRs+//nP47d+67d6ffpEC2Z6ehrPPfcc1q5dGyyq2cHv7L+pXmBlnmiBTU1NAQBWrFgR3D45OYnt27fP6dibNm3CpZdeit133x3r1q2b8zkSzVevfs6TJMFf/dVf4YADDsCHPvShnp4j0Xz16ufcNi3+1Kc+hdNOOw0//vGPcc899+DCCy/E9u3bcfbZZ+PZZ5/t3YkTdaFXP+e77LILrrnmGpxwwgnYuHEjrrzySlxzzTV5E/5QJZNomNh/B5OTk8Htdr39N9ULDPNES8RTTz2FM844A1JKfOELX8Buu+222KdENG8XXXQRtmzZgs985jPsOkJLljYTC/3e7/0ePvaxj+G3f/u3sdtuu+HUU0/F6aefju3bt+PGG29c5LMkmp/nn38ef/Inf4J///d/x+WXX44HHngAd999Nz7+8Y9jw4YNOOWUU7Bt27bFPk2iocIwT7TA7FW5uqvYU1NTtVe/62zduhWnnXYann/+eVx88cXBAZSIFlIvfs4fe+wxXHXVVTjzzDOx//779/wciearV7/P7XHe/OY3V7a96U1vAlA0xSdaaL36Of/c5z6Hhx9+GBdffDGOOeYYrFixAnvssQdOOeUUXHDBBXjqqadw9dVX9/TciRaS/XdQV3m36+sq93PBME+0wGx/mVD/sm3btuGFF14I9kur8/TTT+PUU0/Fs88+i4suuij/4ke0mHrxc/6zn/0MUkqsX78e+++/f2kBgF/+8pfYf//9ceihh/b8/Ik60avf53YsiJe+9KWVbXbd7OzsPM6UaO569XP+4x//GLvuuit+93d/t7LNFiEee+yx+Z0s0SKamJjAnnvuiaeffhpSysp221fe/pvqBYZ5ogV22GGHAQDuuuuuyra7774bAPD617++o2M9/fTT+OM//mM8++yz+OIXv4hjjz22dydKNA+9+Dlfs2YNTjrppOACZFfATzrpJLz73e/u7ckTdahXv89tkPnFL35R2WbXzXe6JKK56tXPeZIkmJqaKg3waD3//PMAUJrKi2gYvf71r8f09DQeeuihyjb7b8j+m+oFhnmiBfaGN7wBL3/5y/Hd734XmzZtytdPTU3hy1/+MhqNBt7znvfk659//nn813/9V/6HzrJB/plnnsEXvvAFvPWtb12w90DUTi9+zg855BB8+tOfDi4AsMcee+DTn/40LrzwwoV7Y0SOXv0+P/HEEzE+Po5vfOMbeOaZZ0rHueyyywAAv//7v9/nd0MU1quf80MOOQRpmuLLX/5yaX2SJPk6ztpAw6Lu5/yUU04BkI354164uueee3DXXXfhsMMO6+nMPELbUVeIaMHce++9WLduHcbGxnD88cdjcnISt912G55++ml89KMfxVlnnZXvu379elxyySU455xzcO655+br3/zmN2Pr1q04+OCDg3O/AijtT7TQevFzXmf//ffHvvvui+9///v9fAtEbfXq5/yaa67Bpz71Key6665461vfivHxcfzbv/0btm7dij/8wz/EJz7xiYV+a0S5Xvycb9q0CR/4wAewY8cOHHTQQTjkkEMwOzuLu+66C0899RRe+cpX4rrrrsOyZcsW4y0S4YYbbsCDDz4IAHjiiSfw2GOP4ZBDDsm7kRx77LF5K9hWv88vvPBC3HDDDdhvv/1wzDHH4Ne//jW+973vYdmyZbj++uux33779eycOc880SI44ogjcO211+Liiy/Grbfeimazif322w9//ud/jhNOOKGjY2zduhUA8NOf/hQ//elPg/swzNNi6sXPOdGg69XP+amnnorVq1fja1/7Gm655RZIKbHffvvhzDPPzCs9RIulFz/nBxxwADZs2IDLLrsM9957L775zW8ijmPsvffeOPfcc/HhD3+YQZ4W1YMPPojvfOc7pXUPPfRQ3mR+9erVHXVp/cQnPoH9998f3/rWt3DNNddgYmICb3rTm3D++ef3tCoPsDJPRERERERENHTYZ56IiIiIiIhoyDDMExEREREREQ0ZhnkiIiIiIiKiIcMwT0RERERERDRkGOaJiIiIiIiIhgzDPBEREREREdGQYZgnIiIiIiIiGjIM80RERERERERDhmGeiIiIiIiIaMgwzBMRERERERENGYZ5IiIiIiIioiHDME9EREREREQ0ZP4/jkYhqQqfDYQAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5446,7 +5457,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -5580,7 +5591,7 @@
        "4    289.7899   False  False  "
       ]
      },
-     "execution_count": 19,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5594,7 +5605,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -5606,7 +5617,7 @@
        "Name: re78, dtype: float64"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5624,8 +5635,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
+   "execution_count": 25,
+   "metadata": {
+    "tags": [
+     "hide-output"
+    ]
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -5641,7 +5656,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6e368f4b04d44f089024f65f76016e43",
+       "model_id": "df930b6a83494b249eeac8cdb143fe40",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5656,6 +5671,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
@@ -5686,7 +5703,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "007b793dccd64bacb5371f701f373ce2",
+       "model_id": "0ccb3a62b629496e9344427ff1e756b4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5711,7 +5728,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 10 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n",
       "Sampling: [alpha_outcome, beta_, beta_ps, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -5721,7 +5738,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "643ceb1ca57a4a69a66a25457b454975",
+       "model_id": "b1850e7a68404fec97e7f60cd92a2c3e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5746,7 +5763,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n"
      ]
     }
    ],
@@ -5796,12 +5813,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5824,7 +5841,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -5860,187 +5877,187 @@
        "    <tr>\n",
        "      <th rowspan=\"12\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.337</td>\n",
-       "      <td>0.135</td>\n",
-       "      <td>-1.597</td>\n",
-       "      <td>-1.092</td>\n",
+       "      <td>-1.332</td>\n",
+       "      <td>0.136</td>\n",
+       "      <td>-1.573</td>\n",
+       "      <td>-1.064</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>897.593</td>\n",
-       "      <td>698.918</td>\n",
-       "      <td>-367.100</td>\n",
-       "      <td>2217.513</td>\n",
+       "      <td>919.034</td>\n",
+       "      <td>683.829</td>\n",
+       "      <td>-359.422</td>\n",
+       "      <td>2180.636</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>29.940</td>\n",
-       "      <td>25.449</td>\n",
-       "      <td>-18.837</td>\n",
-       "      <td>77.058</td>\n",
+       "      <td>29.887</td>\n",
+       "      <td>25.736</td>\n",
+       "      <td>-18.925</td>\n",
+       "      <td>78.386</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>292.139</td>\n",
-       "      <td>69.657</td>\n",
-       "      <td>158.567</td>\n",
-       "      <td>421.276</td>\n",
+       "      <td>290.353</td>\n",
+       "      <td>72.801</td>\n",
+       "      <td>152.563</td>\n",
+       "      <td>423.974</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>1593.906</td>\n",
-       "      <td>883.750</td>\n",
-       "      <td>-19.172</td>\n",
-       "      <td>3233.629</td>\n",
+       "      <td>1616.502</td>\n",
+       "      <td>870.575</td>\n",
+       "      <td>43.175</td>\n",
+       "      <td>3330.614</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1223.780</td>\n",
-       "      <td>682.822</td>\n",
-       "      <td>-47.044</td>\n",
-       "      <td>2487.428</td>\n",
+       "      <td>1238.210</td>\n",
+       "      <td>690.108</td>\n",
+       "      <td>-82.182</td>\n",
+       "      <td>2538.451</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2094.674</td>\n",
-       "      <td>593.793</td>\n",
-       "      <td>997.970</td>\n",
-       "      <td>3234.417</td>\n",
+       "      <td>2101.081</td>\n",
+       "      <td>599.596</td>\n",
+       "      <td>1011.341</td>\n",
+       "      <td>3213.124</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-1087.557</td>\n",
-       "      <td>524.166</td>\n",
-       "      <td>-2078.290</td>\n",
-       "      <td>-110.903</td>\n",
+       "      <td>-1103.582</td>\n",
+       "      <td>514.240</td>\n",
+       "      <td>-2044.657</td>\n",
+       "      <td>-104.829</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.008</td>\n",
-       "      <td>0.997</td>\n",
-       "      <td>-1.825</td>\n",
-       "      <td>2.053</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>1.003</td>\n",
+       "      <td>-1.831</td>\n",
+       "      <td>1.955</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.011</td>\n",
-       "      <td>0.996</td>\n",
-       "      <td>-1.986</td>\n",
-       "      <td>1.771</td>\n",
+       "      <td>-0.002</td>\n",
+       "      <td>0.994</td>\n",
+       "      <td>-1.900</td>\n",
+       "      <td>1.873</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1793.234</td>\n",
-       "      <td>479.095</td>\n",
-       "      <td>930.011</td>\n",
-       "      <td>2728.542</td>\n",
+       "      <td>1796.961</td>\n",
+       "      <td>486.173</td>\n",
+       "      <td>867.891</td>\n",
+       "      <td>2710.354</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6436.494</td>\n",
-       "      <td>148.542</td>\n",
-       "      <td>6161.420</td>\n",
-       "      <td>6709.245</td>\n",
+       "      <td>6438.209</td>\n",
+       "      <td>148.026</td>\n",
+       "      <td>6170.267</td>\n",
+       "      <td>6716.444</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"11\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>921.166</td>\n",
-       "      <td>695.150</td>\n",
-       "      <td>-390.455</td>\n",
-       "      <td>2227.062</td>\n",
+       "      <td>928.477</td>\n",
+       "      <td>703.045</td>\n",
+       "      <td>-368.249</td>\n",
+       "      <td>2279.219</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>30.376</td>\n",
-       "      <td>25.719</td>\n",
-       "      <td>-17.570</td>\n",
-       "      <td>77.473</td>\n",
+       "      <td>29.718</td>\n",
+       "      <td>25.629</td>\n",
+       "      <td>-20.551</td>\n",
+       "      <td>77.289</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>290.383</td>\n",
-       "      <td>70.739</td>\n",
-       "      <td>152.531</td>\n",
-       "      <td>420.041</td>\n",
+       "      <td>291.937</td>\n",
+       "      <td>73.358</td>\n",
+       "      <td>149.830</td>\n",
+       "      <td>424.374</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>1624.045</td>\n",
-       "      <td>880.940</td>\n",
-       "      <td>-69.748</td>\n",
-       "      <td>3202.882</td>\n",
+       "      <td>1648.816</td>\n",
+       "      <td>879.268</td>\n",
+       "      <td>-3.116</td>\n",
+       "      <td>3283.668</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1246.571</td>\n",
-       "      <td>682.593</td>\n",
-       "      <td>3.316</td>\n",
-       "      <td>2569.644</td>\n",
+       "      <td>1242.800</td>\n",
+       "      <td>688.158</td>\n",
+       "      <td>-49.723</td>\n",
+       "      <td>2512.753</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2070.076</td>\n",
-       "      <td>606.118</td>\n",
-       "      <td>939.815</td>\n",
-       "      <td>3228.152</td>\n",
+       "      <td>2079.289</td>\n",
+       "      <td>603.283</td>\n",
+       "      <td>917.589</td>\n",
+       "      <td>3168.699</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-1098.141</td>\n",
-       "      <td>520.188</td>\n",
-       "      <td>-2110.320</td>\n",
-       "      <td>-152.275</td>\n",
+       "      <td>-1092.513</td>\n",
+       "      <td>514.911</td>\n",
+       "      <td>-2062.723</td>\n",
+       "      <td>-122.975</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.010</td>\n",
-       "      <td>1.003</td>\n",
-       "      <td>-1.806</td>\n",
-       "      <td>1.917</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>0.994</td>\n",
+       "      <td>-1.872</td>\n",
+       "      <td>1.824</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.014</td>\n",
-       "      <td>0.980</td>\n",
-       "      <td>-1.907</td>\n",
-       "      <td>1.781</td>\n",
+       "      <td>-0.011</td>\n",
+       "      <td>0.984</td>\n",
+       "      <td>-1.856</td>\n",
+       "      <td>1.808</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1798.640</td>\n",
-       "      <td>482.733</td>\n",
-       "      <td>875.017</td>\n",
-       "      <td>2674.645</td>\n",
+       "      <td>1785.633</td>\n",
+       "      <td>483.960</td>\n",
+       "      <td>875.011</td>\n",
+       "      <td>2680.343</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6435.687</td>\n",
-       "      <td>149.728</td>\n",
-       "      <td>6160.962</td>\n",
-       "      <td>6721.915</td>\n",
+       "      <td>6436.338</td>\n",
+       "      <td>148.810</td>\n",
+       "      <td>6157.605</td>\n",
+       "      <td>6721.365</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6049,32 +6066,32 @@
       ],
       "text/plain": [
        "                                   mean       sd    hdi_3%   hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt          -1.337    0.135    -1.597    -1.092    1.0\n",
-       "              beta_[treat]      897.593  698.918  -367.100  2217.513    1.0\n",
-       "              beta_[age]         29.940   25.449   -18.837    77.058    1.0\n",
-       "              beta_[educ]       292.139   69.657   158.567   421.276    1.0\n",
-       "              beta_[hispan]    1593.906  883.750   -19.172  3233.629    1.0\n",
-       "              beta_[white]     1223.780  682.822   -47.044  2487.428    1.0\n",
-       "              beta_[married]   2094.674  593.793   997.970  3234.417    1.0\n",
-       "              beta_[nodegree] -1087.557  524.166 -2078.290  -110.903    1.0\n",
-       "              beta_ps[0]         -0.008    0.997    -1.825     2.053    1.0\n",
-       "              beta_ps[1]         -0.011    0.996    -1.986     1.771    1.0\n",
-       "              alpha_outcome    1793.234  479.095   930.011  2728.542    1.0\n",
-       "              sigma            6436.494  148.542  6161.420  6709.245    1.0\n",
-       "2-stage-model beta_[treat]      921.166  695.150  -390.455  2227.062    1.0\n",
-       "              beta_[age]         30.376   25.719   -17.570    77.473    1.0\n",
-       "              beta_[educ]       290.383   70.739   152.531   420.041    1.0\n",
-       "              beta_[hispan]    1624.045  880.940   -69.748  3202.882    1.0\n",
-       "              beta_[white]     1246.571  682.593     3.316  2569.644    1.0\n",
-       "              beta_[married]   2070.076  606.118   939.815  3228.152    1.0\n",
-       "              beta_[nodegree] -1098.141  520.188 -2110.320  -152.275    1.0\n",
-       "              beta_ps[0]         -0.010    1.003    -1.806     1.917    1.0\n",
-       "              beta_ps[1]          0.014    0.980    -1.907     1.781    1.0\n",
-       "              alpha_outcome    1798.640  482.733   875.017  2674.645    1.0\n",
-       "              sigma            6435.687  149.728  6160.962  6721.915    1.0"
+       "1-stage-model alpha_trt          -1.332    0.136    -1.573    -1.064    1.0\n",
+       "              beta_[treat]      919.034  683.829  -359.422  2180.636    1.0\n",
+       "              beta_[age]         29.887   25.736   -18.925    78.386    1.0\n",
+       "              beta_[educ]       290.353   72.801   152.563   423.974    1.0\n",
+       "              beta_[hispan]    1616.502  870.575    43.175  3330.614    1.0\n",
+       "              beta_[white]     1238.210  690.108   -82.182  2538.451    1.0\n",
+       "              beta_[married]   2101.081  599.596  1011.341  3213.124    1.0\n",
+       "              beta_[nodegree] -1103.582  514.240 -2044.657  -104.829    1.0\n",
+       "              beta_ps[0]          0.011    1.003    -1.831     1.955    1.0\n",
+       "              beta_ps[1]         -0.002    0.994    -1.900     1.873    1.0\n",
+       "              alpha_outcome    1796.961  486.173   867.891  2710.354    1.0\n",
+       "              sigma            6438.209  148.026  6170.267  6716.444    1.0\n",
+       "2-stage-model beta_[treat]      928.477  703.045  -368.249  2279.219    1.0\n",
+       "              beta_[age]         29.718   25.629   -20.551    77.289    1.0\n",
+       "              beta_[educ]       291.937   73.358   149.830   424.374    1.0\n",
+       "              beta_[hispan]    1648.816  879.268    -3.116  3283.668    1.0\n",
+       "              beta_[white]     1242.800  688.158   -49.723  2512.753    1.0\n",
+       "              beta_[married]   2079.289  603.283   917.589  3168.699    1.0\n",
+       "              beta_[nodegree] -1092.513  514.911 -2062.723  -122.975    1.0\n",
+       "              beta_ps[0]          0.007    0.994    -1.872     1.824    1.0\n",
+       "              beta_ps[1]         -0.011    0.984    -1.856     1.808    1.0\n",
+       "              alpha_outcome    1785.633  483.960   875.011  2680.343    1.0\n",
+       "              sigma            6436.338  148.810  6157.605  6721.365    1.0"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6104,12 +6121,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6140,7 +6157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -6231,7 +6248,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6243,8 +6260,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
+   "execution_count": 30,
+   "metadata": {
+    "tags": [
+     "hide-output"
+    ]
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -6260,7 +6281,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bdbd58d3385c4ddfa35e67923d07f14d",
+       "model_id": "ef0ae845cdb24d0093c55a627f325e68",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6285,7 +6306,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 46 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 48 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -6297,7 +6318,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "02393a747e6f4166bda611b66dcb1025",
+       "model_id": "53e7290bb8b44db3b3b853272a99e4fe",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6332,7 +6353,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cf55bcb2c0074706b1c6a520b9c1a4a9",
+       "model_id": "0caeb786ec9045d5908beff65c11d4de",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6351,14 +6372,6 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -6373,7 +6386,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n"
      ]
     }
    ],
@@ -6458,12 +6471,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6494,7 +6507,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -6531,138 +6544,138 @@
        "      <th rowspan=\"9\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
        "      <td>-1.153</td>\n",
-       "      <td>0.061</td>\n",
-       "      <td>-1.260</td>\n",
-       "      <td>-1.030</td>\n",
+       "      <td>0.062</td>\n",
+       "      <td>-1.268</td>\n",
+       "      <td>-1.035</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.754</td>\n",
-       "      <td>0.468</td>\n",
-       "      <td>1.869</td>\n",
+       "      <td>2.751</td>\n",
+       "      <td>0.470</td>\n",
+       "      <td>1.851</td>\n",
        "      <td>3.623</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.227</td>\n",
+       "      <td>-2.236</td>\n",
        "      <td>0.353</td>\n",
-       "      <td>-2.900</td>\n",
-       "      <td>-1.576</td>\n",
+       "      <td>-2.887</td>\n",
+       "      <td>-1.566</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.308</td>\n",
-       "      <td>0.190</td>\n",
-       "      <td>-0.042</td>\n",
-       "      <td>0.669</td>\n",
+       "      <td>0.310</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-0.067</td>\n",
+       "      <td>0.660</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.502</td>\n",
-       "      <td>0.345</td>\n",
-       "      <td>-0.155</td>\n",
-       "      <td>1.129</td>\n",
+       "      <td>0.507</td>\n",
+       "      <td>0.344</td>\n",
+       "      <td>-0.152</td>\n",
+       "      <td>1.126</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.185</td>\n",
+       "      <td>-1.188</td>\n",
        "      <td>0.188</td>\n",
-       "      <td>-1.543</td>\n",
-       "      <td>-0.840</td>\n",
+       "      <td>-1.553</td>\n",
+       "      <td>-0.842</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.089</td>\n",
+       "      <td>2.081</td>\n",
        "      <td>0.328</td>\n",
-       "      <td>1.469</td>\n",
-       "      <td>2.680</td>\n",
+       "      <td>1.476</td>\n",
+       "      <td>2.702</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.644</td>\n",
-       "      <td>0.988</td>\n",
-       "      <td>-2.572</td>\n",
-       "      <td>1.119</td>\n",
+       "      <td>-0.618</td>\n",
+       "      <td>0.985</td>\n",
+       "      <td>-2.442</td>\n",
+       "      <td>1.223</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.250</td>\n",
-       "      <td>0.944</td>\n",
-       "      <td>-1.502</td>\n",
-       "      <td>2.011</td>\n",
+       "      <td>0.256</td>\n",
+       "      <td>0.947</td>\n",
+       "      <td>-1.473</td>\n",
+       "      <td>2.057</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"8\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.790</td>\n",
-       "      <td>0.461</td>\n",
-       "      <td>1.915</td>\n",
-       "      <td>3.641</td>\n",
+       "      <td>2.657</td>\n",
+       "      <td>0.469</td>\n",
+       "      <td>1.778</td>\n",
+       "      <td>3.521</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.192</td>\n",
-       "      <td>0.352</td>\n",
-       "      <td>-2.868</td>\n",
-       "      <td>-1.537</td>\n",
+       "      <td>-2.276</td>\n",
+       "      <td>0.350</td>\n",
+       "      <td>-2.945</td>\n",
+       "      <td>-1.633</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.297</td>\n",
-       "      <td>0.192</td>\n",
-       "      <td>-0.052</td>\n",
-       "      <td>0.666</td>\n",
+       "      <td>0.328</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-0.044</td>\n",
+       "      <td>0.690</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.489</td>\n",
+       "      <td>0.523</td>\n",
        "      <td>0.342</td>\n",
-       "      <td>-0.149</td>\n",
-       "      <td>1.136</td>\n",
+       "      <td>-0.111</td>\n",
+       "      <td>1.176</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.177</td>\n",
-       "      <td>0.186</td>\n",
-       "      <td>-1.522</td>\n",
-       "      <td>-0.818</td>\n",
+       "      <td>-1.201</td>\n",
+       "      <td>0.185</td>\n",
+       "      <td>-1.547</td>\n",
+       "      <td>-0.849</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.145</td>\n",
-       "      <td>0.301</td>\n",
-       "      <td>1.559</td>\n",
-       "      <td>2.681</td>\n",
+       "      <td>1.969</td>\n",
+       "      <td>0.302</td>\n",
+       "      <td>1.408</td>\n",
+       "      <td>2.530</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.912</td>\n",
-       "      <td>0.879</td>\n",
-       "      <td>-2.510</td>\n",
-       "      <td>0.734</td>\n",
+       "      <td>-0.176</td>\n",
+       "      <td>0.855</td>\n",
+       "      <td>-1.820</td>\n",
+       "      <td>1.385</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.164</td>\n",
-       "      <td>0.919</td>\n",
-       "      <td>-1.477</td>\n",
-       "      <td>1.900</td>\n",
+       "      <td>0.552</td>\n",
+       "      <td>0.921</td>\n",
+       "      <td>-1.162</td>\n",
+       "      <td>2.297</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6671,26 +6684,26 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt             -1.153  0.061  -1.260   -1.030    1.0\n",
-       "              beta_[trt]             2.754  0.468   1.869    3.623    1.0\n",
-       "              beta_[age]            -2.227  0.353  -2.900   -1.576    1.0\n",
-       "              beta_[smokeintensity]  0.308  0.190  -0.042    0.669    1.0\n",
-       "              beta_[smokeyrs]        0.502  0.345  -0.155    1.129    1.0\n",
-       "              beta_[wt71]           -1.185  0.188  -1.543   -0.840    1.0\n",
-       "              alpha_outcome          2.089  0.328   1.469    2.680    1.0\n",
-       "              beta_ps[0]            -0.644  0.988  -2.572    1.119    1.0\n",
-       "              beta_ps[1]             0.250  0.944  -1.502    2.011    1.0\n",
-       "2-stage-model beta_[trt]             2.790  0.461   1.915    3.641    1.0\n",
-       "              beta_[age]            -2.192  0.352  -2.868   -1.537    1.0\n",
-       "              beta_[smokeintensity]  0.297  0.192  -0.052    0.666    1.0\n",
-       "              beta_[smokeyrs]        0.489  0.342  -0.149    1.136    1.0\n",
-       "              beta_[wt71]           -1.177  0.186  -1.522   -0.818    1.0\n",
-       "              alpha_outcome          2.145  0.301   1.559    2.681    1.0\n",
-       "              beta_ps[0]            -0.912  0.879  -2.510    0.734    1.0\n",
-       "              beta_ps[1]             0.164  0.919  -1.477    1.900    1.0"
+       "1-stage-model alpha_trt             -1.153  0.062  -1.268   -1.035    1.0\n",
+       "              beta_[trt]             2.751  0.470   1.851    3.623    1.0\n",
+       "              beta_[age]            -2.236  0.353  -2.887   -1.566    1.0\n",
+       "              beta_[smokeintensity]  0.310  0.195  -0.067    0.660    1.0\n",
+       "              beta_[smokeyrs]        0.507  0.344  -0.152    1.126    1.0\n",
+       "              beta_[wt71]           -1.188  0.188  -1.553   -0.842    1.0\n",
+       "              alpha_outcome          2.081  0.328   1.476    2.702    1.0\n",
+       "              beta_ps[0]            -0.618  0.985  -2.442    1.223    1.0\n",
+       "              beta_ps[1]             0.256  0.947  -1.473    2.057    1.0\n",
+       "2-stage-model beta_[trt]             2.657  0.469   1.778    3.521    1.0\n",
+       "              beta_[age]            -2.276  0.350  -2.945   -1.633    1.0\n",
+       "              beta_[smokeintensity]  0.328  0.195  -0.044    0.690    1.0\n",
+       "              beta_[smokeyrs]        0.523  0.342  -0.111    1.176    1.0\n",
+       "              beta_[wt71]           -1.201  0.185  -1.547   -0.849    1.0\n",
+       "              alpha_outcome          1.969  0.302   1.408    2.530    1.0\n",
+       "              beta_ps[0]            -0.176  0.855  -1.820    1.385    1.0\n",
+       "              beta_ps[1]             0.552  0.921  -1.162    2.297    1.0"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6711,12 +6724,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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g8eHDBy7A5bcHZdWtWxdjxowBUBqEChk9erTcNLazNbH57dq1AwDRNuF6enqCy7Vp0wbu7u5gGAYXL16Um//o0SOsXbsW/v7+8Pb2xvjx4zF+/HjExMQAKK3eLqRLly7lGnpOKK/29vYwMDDA+/fvkZmZyU2/dOkSAGDAgAGCw1rxHwqURWRkJLffI0eOhKenJ1dlmu3XQNaIESME18UeYy8vL8GHG5MnTwYAxMfHIycnR26+q6urYLXyUaNGwcDAAKmpqXj8+DE3PTw8nNuekO7du0NPTw/x8fGCbe5HjRolV21fT0+Pa5fNfwDEBrjnz59Hbm6u4PY0pXnz5ujYsSMyMzPl+hk4evQoioqK0KdPH7mATFMMDQ0BfPytUITt8f7GjRtIS0vTeF74TR3UNWDAAJibm8tNnzBhAgAgLi5O8DysLJr4PRU6983MzLihBfnnMPtZnT59WmEfFIQQUh1Qm3lCCBFgZGQEAGUKSNhSOH19fblSbVarVq0AQKpDOz5ra2u5afySM6H5pqamAMSDiyZNmkiVAvPZ2dkhNjZWLj+bNm3CmjVrUFJSIrgcAKlSLb6WLVuKLqMKoX0ESo9Deno6cnJyuH1m8y02NGDTpk1hbGyM7OzsMuXl9evXeP36NYDSGgf169eHu7s7xo4dKzpmtmybfhabV/YckGVjYwM9PT0UFhYiOTlZrsRW7LgaGhrC0tISSUlJSEpKgp2dHT58+IDU1FQAwA8//KBwH/Pz85GVlYVGjRpJTRf7HNi22/xAr1+/fmjatCkuXryI7t27o3v37lwHjpputw6UPmiIjo7Gn3/+KfU5/PnnnwDK/xBHEfZ7Jvad4rOwsMCgQYPw119/YcCAAfDw8ECnTp3g7u4OFxcXrvZGWZiampZrJA2x86l58+bQ19dHQUGB4HlYWSrq9xQoPYefPHkidQ6PHDkSQUFBXEeL3bt3h7u7Ozw9PUW3TwghVYWCeUIIEcCWKJel53P2Jt/MzAxaWlqCadiASSzwFqomy1+XUI0BsW2xhDrOkp3Hz09MTAx+//136OjoYO7cuejTpw+srKxQt25daGlpYfXq1QgMDBQtvWJLLstKbHm2lJhflZx96MI+hBFiZGRU5mD+888/lxpnXhVitTrYwEHs89DS0oKZmRlevHgheH4o+xyTkpK45fj7GxcXpzTPeXl5ctPE9kPoczA0NMSePXvwxx9/4NSpUzhx4gTX632rVq0wb9489O7dW2k+VDVw4EAsXboUERERyMzMhKmpKe7du4eEhASYm5uje/fuGtuWLLYHdVUD6ZUrV6JVq1YICQnBxYsXuRoaZmZm8PPzk2pWo47yfs+UnYfPnz9XqfZBRdHE76k657CFhQX279+PP/74AxERETh8+DAOHz4MAHBxccH8+fPh6upatp0hhBANo2CeEEIEuLq6Ijg4mKt6rE7JGRtQvnnzBgzDCN6Avnr1SiptZVDUtpedx8/PsWPHAAC+vr6YNm2a3DLsUFrVAXuzrqg6cFUGJHxs8MWW9MtiGEbw82Ap+hzZdbLL8QO927dvK+xFXlOaNGmC5cuXY+nSpbhz5w6uXr2KU6dO4fbt25gxYwb27t0LZ2dnjWyrbt26GDx4MA4cOICwsDBMmjSJK5X/7LPPuDbSFSE2NhYA0L59e5XSGxgYYObMmZg5cyYePXqEa9eu4dy5czh//jxWrlwJoPS7VtnEziex85D9PWNERnLQdJX8qvg9tbOzw9q1a1FQUID4+HjExMQgLCwM169fx5QpU3Ds2LEy96dCCCGaRG3mCSFEQM+ePWFoaIjXr1/j1KlTai1rbW0NbW1tFBQUyHUox3r48CGA0irVlSU9PV00oGWHbuPnh62eLVYKJdZWviqw+eZ3xsaXlpZW5lJ5TWPzyp4DspKSklBYWAgdHR3B6sFiw+zl5uZypcXsNkxMTNC4cWOF26sourq6cHZ2xrRp03Do0CEMGTIExcXFOHTokEa3M2rUKABAaGgoioqKuIdQFVnF/s6dO7h16xYAoFevXmovb2dnh7FjxyIwMBA//vgjgNJx4quC2PmUkpKCgoICaGtrS52H7IMzsYcAYsPiKas5JKYqf0/19fXh4eEBf39/HD9+HG5ubsjJyUFYWJhGt0MIIWVFwTwhhAioV68e19nSzz//rLS6fWxsLFeN2cjIiAuAd+/eLZc2Ly8PISEhAEp7Wa4shYWFOHjwoNz0Bw8e4Nq1a9DS0kLXrl256WznbEIlyBcvXqxWwTyb7/DwcMGgPTQ0tLKzJIr9zENCQpCfny83nz1n3NzcBKtQx8fHc73o8x06dAj5+flo2rSpVDvoAQMGAAB27typkfyXFVsa//LlS5XSs01NhKr+87m4uKBVq1a4c+cOtm3bhlevXlXI2PKsrKwszJ8/HwDQuXNnlUvmxbBj1MseF1X3v7zCw8O5km2+PXv2AJA/D9l24+zDDL7nz58LdqIJfPw9UXd/qsvvqY6ODjeOvarnMCGEVDQK5gkhRIS/vz9cXV3x6tUrjBs3Dn/++adc8PXkyRMsWbIEkydPliqpmjp1KgBg7969XEkhUNqG+d///jfevHmDpk2bVtiwWUJ0dXWxbt06REdHc9OeP3+O7777DkBp0McvgWOH0Nq8ebNUidjNmzfx/fffqzXMXEXr0qUL7O3tkZmZiXnz5uHdu3fcvNOnT2Pz5s2VUsVcFUOHDoWVlRVevXqF+fPnS9WWOHLkCPbv3w/g4zkkS1dXF/Pnz+dqTgDAtWvXsHbtWgDAlClTpEpBp06digYNGuDw4cNYvny51LEBSoPTgwcPYsOGDeXetx07dmDHjh1ywWFaWhr3IIkddUEZNmhkR01QhC2F/+OPP6Tea1J2djYOHz6MkSNH4sGDBzA3N1e5H4XLly9jxYoVcrUjPnz4wA39JjtCgTr7Xx4lJSWYN2+e1O/X33//zQXOslX/e/ToAQA4c+aM1CgCL1++xLx581BcXCy4Hf5DAHU7Fq3M39PVq1cjJCRE7nvy4MEDnDx5EoDq5zAhhFQ0ajNPCCEi9PX1ERQUhAULFuDUqVP47rvv8OOPP8La2hoGBgZ4+fIlNx59kyZNpALh3r17Y9q0adi8eTPmzZuHVatWoWHDhnj8+DFycnJQv359rFmzRq3xoMvL1dUVRkZG8Pb2ho2NDQwNDfHgwQMUFRWhefPmcr2djx07Fnv37kVycjL+8Y9/wNbWFoWFhXjy5AlatWqFwYMHY/v27ZWWf0W0tbWxcuVKeHt749y5c+jRowfs7OyQmZmJ1NRUeHt74+zZs0hNTa3QdtSqqFu3LtasWQNfX1+cOHECERERaNmyJV6/fs1Vk58+fTp69uwpuPzYsWNx9uxZDBgwAK1bt0ZeXh6ePHkCoPS8Y4cUYzVp0gQbNmzAjBkzsGPHDgQHB8PW1hZ169bFmzdvkJKSAoZhMHjw4HLvW2pqKnbt2oXly5ejadOmaNiwIbKzs/H06VMUFxdDIpHgyy+/VGldgwcPRnBwMLZs2YK///4b5ubm0NLSwtSpU7mAkjVixAisXr0ahYWFGhlb/tChQ9xwh0VFRXj79i2ePXvGjerg4eGBFStWcEPxKfPhwwds27YN27Ztg5mZGaysrFBUVISnT58iNzcXJiYmWLBgQZn3vzx8fX2xZ88e9OrVC61atUJWVhb3oGjChAno06ePVHo7OzuMHj0aBw8exLRp09CsWTOYmJggMTER1tbWGD9+PHbt2iW3HQcHB9jY2CApKQm9evWCra0t9PT00KZNGyxcuFBhHivz9zQxMRGBgYFYvHgxmjdvjvr16+Pt27d4+vQpgNLPvjxDARJCiCZRME8IIQoYGRlh7dq1uHbtGg4fPoxr164hJSUFhYWFMDU1Ra9evdC/f38MHTpU7kZy7ty5cHNzw+7du3H79m28evUKjRs3xrBhw/DPf/6TG8+4smhpaSEgIACbNm3C0aNH8fDhQ5iamqJfv36YNWuWXK/cxsbG2LNnD1atWoXz58/jyZMnsLCwwJdffgl/f/9qE8iz2rRpg0OHDmHNmjWIiopCYmIiWrRogcWLF2PixIk4fvw4gMrtdFCMs7Mzjhw5gk2bNuHixYu4f/8+DA0N0a1bN0yePFk0kAdKhyILCQnB6tWrERkZiaysLNja2mLUqFGiPaK7u7vjxIkT2LlzJyIiIrjhviwsLNC9e3f07t2bq45fHuPGjUP9+vVx5coVJCcnIyEhAfXr14eTkxM+++wzjB49WuWAq0OHDli1ahV27tyJhw8fcsOOff7553JpGzZsiO7du+Ps2bMaGVs+PT2de7BSt25dGBsbw83NDe3bt8c//vEPtavWu7u7Y9GiRdx5+ejRI+jq6sLa2hrdu3eHj4+P3Fjv6ux/edjY2CAkJARr1qxBdHQ0srOz0aZNG0ycOFFwfHYAWLJkCaysrPDnn38iPT0dhYWFGDt2LL755hvR5hza2trYtGkTfv/9d1y7dg03b94ULcUXUlm/p9OnT4ednR2uXr2KtLQ0pKWlwczMDJ06dcKoUaMwdOjQcg0lSAghmqTFiHVHSgghpFa4evUqJk+ejE6dOgm2Of0UZGZmwtPTE/Xq1avwassVZd26dQgICIC/vz9mzpxZ1dmpdsaMGYMbN25g06ZNZeqUjhBCCKlpqM08IYSQWo/tAI/Gh66dEhMTcePGjQofW54QQgipTiiYJ4QQUivcv38f+/fvl+pQjmEYHDlyhOsYbdy4cVWVPVJBiouLsXr1agCl/QlUdZ8IhBBCSGWhRj+EEEJqhaysLCxevJhrz9ugQQM8e/YMWVlZAEoDPdnOvEjNFRkZiS1btuDZs2dIT09Ho0aNMHny5KrOFiGEEFJpKJgnhBBSK7Rq1Qp+fn6IioriOjAzNjZG586dMWbMGI301k6qj1evXiE6OhqGhobw8PDA999/j/r161d1tgghhJBKQx3gEUIIIYQQQgghNQy1mSeEEEIIIYQQQmoYCuYJIYQQQgghhJAahoJ5QgghhBBCCCGkhqFgnhBCCCmnPn36wN7eHikpKVWWh3Xr1sHe3h7r1q2rsjxUV/b29rC3t6/qbJSbt7c37O3tcfXq1arOSq0yf/582NvbIzQ0tKqzQgghaqHe7AkhtU6fPn2Qmpqq1jJNmzbF2bNnKyhHlSs0NBSpqan4/PPP0axZs6rODhExf/58HD58GJ9//jl++eWXqs6OnJSUFBw+fBhNmzbFyJEj1V4+NDQUCxYsUJquvN+92nK+X716FdHR0ejUqRM8PDyqOju1RkJCAk6fPo22bduiX79+VZ0dQgjRKArmCSG1jqOjIywsLKSmFRQU4Pbt29x8fX19qfnm5uaVlr+KdvjwYS4oqMnBDVGPqakpbG1tYWpqqpH1paamIiAgAJ06dSpTMM/S19eHo6Oj6PzyfvdUOd9tbW3LtY3KEB0djYCAAPj7+4sG85aWlrC1tUXdunUrOXc1V0JCAgICAvD555+LBvPm5uawtbWFiYlJJeeOEELKh4J5Qkits3btWrlpKSkp6Nu3LwDgjz/+oCCX1DqTJk3CpEmTqjobcszNzbF3794qzcNff/1VpdvXlJUrV1Z1FmqluXPnYu7cuVWdDUIIURu1mSeEEEIIIYQQQmoYCuYJIZ+06dOnw97eHmfOnJGaXlRUBFdXV9jb2+Pbb7+VW06swySGYXDkyBFMmjQJHTp0QPv27TFo0CD8+uuvyMrKKlMeGYbBn3/+iYkTJ6JDhw5wdHRE165dMXLkSKxcuRLPnz8HUNrm1t7eHtHR0QCAyZMncx1/yeb1+vXrWLlyJUaOHInOnTvD0dERPXv2xLfffovExESFedm7dy+GDRuG9u3bo0uXLpg7dy6ePXuG0NBQ2NvbY/78+YLLPn/+HMuWLcPAgQPRvn17dOjQAd7e3mUqNX337h1CQkIwffp09O/fH+3bt4e7uzu8vLywa9cuFBUVCS7H7wjt/PnzmDhxIlxdXeHu7g4/Pz/cvXtXdJupqamYN28eOnfuDGdnZ3z22WcIDg4GwzBq518ViYmJ+Pbbb9GjRw84OjqiS5cumDlzJq5fvy6YXqwDPP7nUlBQgHXr1qF///5wcnJCz549sXz5cuTk5Egt4+3tjcmTJwMorf7NP4/69OlTIfvLqojzXawDPH7HhdHR0fDx8UGHDh3QqVMnzJgxA0lJSVzaM2fOYMKECXBzc0PHjh0xZ84cvHjxQnAfoqKi8NNPP2HYsGHo1KkTnJyc0K9fP/z4449IS0uTS29vb4+AgAAAQEBAgNR+8L9PijrAK8tvT3m+D2L4x/TKlSvw8/ODh4eHXL7T0tLw448/ok+fPnB0dISHhwf8/Pxw/vx5wfUq66RO6Pzv06cP12/D4cOHpY6rt7e30nXz1/n+/Xv897//Ra9eveDo6Ij+/ftj/fr1or81APDo0SMsWLBAah+nTZuGy5cvC6bPzMzEihUrMGjQIDg5OcHFxQV9+vSBr68vgoODRbdDCPl0UTV7QsgnrWPHjjh79ixiYmK4avgAcPfuXS7AiYmJkVuOndaxY0duGsMwmDdvHo4fPw4AaN68OerVq4cHDx5g69atOHnyJHbu3InmzZurlceVK1di27ZtAAArKyvY2NggMzMTDx48wJ07d+Dm5oYmTZrAxMQEbm5uePDgAbKzsyGRSGBsbMytp2HDhtzrb7/9FsnJyWjQoAEaN26Mxo0bIzU1FUePHkV4eDg2b94s2G534cKFOHToEACgWbNmqF+/Pv7++29cuHABEyZMEN2H6OhofP3113j//j3q1KmDFi1a4P3794iOjkZ0dDSmTJmC7777TuVjcu7cOSxatAh6enpo3LgxJBIJsrKycPv2bdy8eRNRUVHYuHEjtLWFn1nv3bsXS5YsQaNGjWBra4snT57gwoULiI2NxcGDB2FnZyeV/tGjR5gwYQKysrJgYGCAVq1aITMzEz/99BMePnyocr5VdebMGXzzzTcoKChAvXr1YG9vj7S0NISHh+P06dNYsmQJxowZo9Y6CwsLMWXKFFy7dg2tWrVC06ZN8fTpU+zYsQOJiYncOQaAO54PHjyAsbExJBIJN6+i+5eoiPNdmdOnT2PlypVo0KABrK2t8eTJE5w+fRo3btzA4cOHERYWhuXLl6NJkyZo3rw5Hj9+jLCwMNy9exdHjhyBgYGB1PqmTp2KkpISmJmZwcrKCsXFxUhJScG+ffvw119/ITg4GK1ateLSu7m5IT09Henp6bC0tISlpSU3z8bGRmn+y/vbo+73QRVhYWFYs2YNTExMYG1tjTp16nDzbty4AT8/P7x79w6GhoaQSCR4/fo1Lly4gAsXLuDrr7/G7Nmz1d6mLEdHR+jp6SEpKQkNGzZEixYtuHn8c1qZ9+/fY+zYsXj69Clat24NbW1tJCcnY+3atUhPT8eyZcvkljlx4gT+/e9/o7CwEEZGRmjVqhVevXqF8+fPIzIyEgsXLpR6oPD+/XuMGTMGycnJ0NPTQ4sWLWBgYIDnz58jKioKN27cwMSJE8t3QAghtQ9DCCGfgGfPnjESiYSRSCTMs2fPuOk3b95kJBIJ8/nnn0ul37JlCyORSJju3bszEomESU5O5ualpaUxEomE6dmzp9Qyu3fvZiQSCePq6spcvHiRm/7y5Utm3LhxjEQiYby8vNTK9+vXr5k2bdow7u7uzLVr16Tm5eXlMcePH2cSEhKkpk+aNImRSCTMlStXRNd7+PBhqX1iGIYpLCxkDhw4wLRr147p27cvU1xcLDX/5MmTjEQiYRwdHZm///6bm56ZmclMmTKFcXBwYCQSCfPdd99JLff8+XOmU6dOjL29PRMYGMjk5+dz82JjY7ljfPbsWdUOCsMwCQkJzLlz56TWxTAMk5yczEycOJGRSCRMaGio3HLsOeDs7MwcOnSIm/7+/Xvmiy++YCQSCfPNN99ILVNSUsJ8/vnnjEQiYaZMmcJkZmZy844fP844ODgw7dq1kzu3lPnuu+9Ej5ebmxsjkUiYZcuWcftYXFzMbNy4kZFIJIyDg4Pc57527VpGIpEwa9eulZp+6NAhbpnBgwczjx8/5ubFx8dz2zp//rzUcleuXGEkEgkzadIklfdJaLu9e/dWeZmKOt/Zz11W7969uWOzbds27px/+/YtM2bMGEYikTDTpk1jnJ2dmaNHj3LLpaWlMX379mUkEgkTHBwst959+/Yxz58/l5qWm5vLfX5Cx1Ts81NlX8v621OW74My7DFt27Yts27dOqawsJBhmNLvUX5+PpOTk8P06tWLkUgkzOzZs5n3799zy4aGhjJt27ZlJBIJExERIbVe9vvCzyefsvNf9numyrrZdTo4ODATJ06U+kzPnDnD5fXhw4dSyyUkJDCOjo6Mk5MTs3//fqnf0jNnzjBubm5M27Ztpc7loKAgwd8YhmGY1NRUZvv27aL5J4R8uqiaPSHkk9auXTsYGRnh3r17yM7O5qbHxMRAW1sbU6ZM4d6z2Gq9sqXyW7duBQDMmjULXbt25eaZm5tjzZo10NPTw40bN0SrWApJTk5GSUkJPD094e7uLjXPwMAAQ4YMQZs2bdTY41IjRoyQK6XT1dWFl5cXBg8ejGfPnslV596+fTsA4Ouvv5bqFbpBgwb4/fffRXvY3r59O7KysvDFF1/gq6++khpJwM3NDUuWLAEA7NixQ+X8t2nTBr169ZIblaB58+b4+eefAQDHjh0TXX706NFSPbQbGxtz1XEvXLgglfbKlSu4c+cO6tSpg19//RUNGjTg5g0ZMgTjxo1TWNVWXXv27EF2djbatm2LhQsXcvuora2Nf/7zn+jZsycKCwulStJVUVRUhF9++UWqZ3cXFxd4eXkBACIjIzW2D3ypqalS1Ztl//773/9yaSvqfFemR48e+PLLL7maHPXq1cPMmTMBABEREfDy8sJnn33Gpbe0tISfnx8A+fMFAMaOHSs3okadOnXwz3/+E+7u7oiOjhatoq8uTfz2qPN9UFWPHj3g7+8PXd3SSqBaWlrQ19fH8ePHkZaWhkaNGmHFihVStSk+//xzjB07FgCwefPmMm23Iujo6OC3336T+kz79OnD1eaSPUbr169HQUEB5s2bhzFjxkjVEOrTpw/+9a9/obi4GLt27eKms006JkyYIPUbA5TWUPHx8dHsThFCagWqZk8I+aTp6OjAzc2Nq1Las2dPlJSUIC4uDvb29ujbty+WL1+OmJgY7mb32rVrAKSD+UePHiE9PR0GBgaC1Z8tLCwwcOBAHD9+HFFRUejcubNK+WOr2964cQNpaWmwsrIq7y5L5TksLAwPHjzA27dvuYA0PT0dAHDv3j24ubkBALKzs3Hjxg0AEBymrH79+ujXr59ge9bw8HAA4IJGWd27d4eenh7i4+NRVFTE3fwrU1BQgFOnTuHq1atIT09Hbm6uVPv1e/fuiS47evRouWn29vYwMDDA+/fvkZmZyQ3xxt6oDxo0CGZmZnLLTZgwAbt371Ypz6qIiooCANEqtZMnT8b58+e5dKpq27YtnJyc5Kaz01JSUtTMqWqUDU3Hf6hUkee7IkLnQ9u2bRXOb9euHQDx43br1i2cOnUKDx8+RHZ2NoqLiwEAT58+BVB6fsoG/GWhid8edb4PqhoxYoTg9IsXLwIo/T2QbZ4AlJ7fe/bsQXx8PHJycmBoaKjWditC9+7d0aRJE7npTk5OCA8Px7Nnz7hpBQUFOH/+PHR0dESHdOzTpw+WLl0q9ZCYPfdPnz6Nnj17qvw7SAj5tNEvBSHkk9exY0dcuHABMTEx6NmzJ+7du4d3795xpdeWlpZcaTwgXDLPlqpYWlqK3nyybWT5nWopY2FhgUGDBuGvv/7CgAED4OHhgU6dOsHd3R0uLi5lvuHbtGkT1qxZg5KSEtE0b9++5V4nJyeDYRg0aNBANAAR6mDsw4cPSE1NBQD88MMPCvOUn5+PrKwsNGrUSGn+09LSMGXKFDx58kSl/MuytrYWnG5mZob09HTk5ORwwQv7eYm1G7axsYGurq7GSufZ7fHbVPO1bt0aAPDq1StkZ2dLlWwqItZemn1A8eHDBzVzqhp1hqarqPNdGaHzgf/gRmg+e37IHjeGYfDTTz9hz549Crep6PxUhyZ+e9T5PqhK7Pui7Py2sbGBnp4eCgsLkZycXCE1MdSl7LvD70AyKSkJ+fn50NPTw9SpUwWXYx868mtnjBw5EkFBQQgNDUVkZCS6d+8Od3d3eHp6qt3PCiHk00HBPCHkk8cG5WwpCRusd+rUCQDQoUMHHDt2DOnp6dDV1UVSUhLMzc2lqiuzN/SKOt1ig1T+zf/Bgwe5DuX42OrUQGmHYK1atUJISAguXrzIlWyZmZnBz89PqnqwKmJiYvD7779DR0cHc+fORZ8+fWBlZYW6detCS0sLq1evRmBgoFRwyt6sGhkZia5XaB6/6UJcXJzSvOXl5am0D/Pnz8eTJ0/g7OyMmTNnom3btqhfvz709PRQVFQEBwcHhcG1WNDDHkd+CT+772LBjLa2NkxNTZGRkaFS3pVhtyd2LvGnf/jwQeVgXtk+VxeaPt9Vwe+cjaWlpcW9FmpCwp/Pd+TIEezZsweGhob49ttv0bVrV1hYWHDbmDdvHo4dO6axhz9l/e3hU+f7oCqxZjfKzm8tLS2YmZnhxYsXFfaASV3qHJ/3798DKO1wUtlvXn5+PvfawsIC+/fvxx9//IGIiAgcPnwYhw8fBlDaHGb+/PlwdXUt134QQmofCuYJIZ88Jycn1KlTB7dv30ZOTg5iYmKgpaXFtdnt1KkTjh07hujoaOjp6QGQLpUHPgayr1+/Ft3Oq1evpNICpVXahW74+OsxMDDAzJkzMXPmTDx69AjXrl3DuXPncP78eaxcuRIA4Ovrq/L+sm3JfX19MW3aNLn57NBffOzNrOwQZnxCN978m+Dbt29zx688Xrx4gatXr6Ju3brYvHmzXPtStpmAprD7kJmZKTi/pKSkzMMOim3v/fv3eP36tWCJKf/cUPRwpabS9Ple2djv13fffYdx48bJzRf6fpVHWX97qgr7fRLLL8MwePPmDQDp/LIPT8QeLCj6bapMbJ4tLCzU7ofCzs4Oa9euRUFBAeLj4xETE4OwsDBcv34dU6ZMwbFjx9CsWbOKyDYhpIaqXo/jCSGkCujp6cHFxQVFRUWIj49HbGwsWrduzVWhZAP36OhorvS+Q4cOUutgh49KT08XLU1ihzDjDzU1c+ZM3L9/X+5PrK2lnZ0dxo4di8DAQPz4448AgAMHDqi1v2y1d7FSHqG25tbW1tDW1kZmZiZevnwpuNz9+/flppmYmKBx48YAoLEh3Nhxulu2bCkXyIvlozzYz+vx48eC858+fYrCwkKNb0/seCUmJgIoLW1VtVS+LMRKniuTJs73ysa2oRf6fhUWFuLRo0eCy5X1eJf1t6eqKDu/k5KSUFhYCB0dHamHWWxJPxvoy0pOThacXtnncYsWLaCnp4eMjIwyP+TT19eHh4cH/P39cfz4cbi5uSEnJwdhYWGazSwhpMajYJ4QQvAxYA8ODkZmZqZUybutrS3Mzc0RExPDBfNsFXyWnZ0drKyskJ+fj5CQELn1v3jxAqdOnQIAdOvWTSN5dnFxAQC54JqtzitWZZ3tdEqoZOzixYuCwbyxsTGcnZ0BgKv6yff+/XucOXNGcHsDBgwAAOzcuVNwvrrY/Xv9+rVgKR3bs7emsJ/XX3/9JVg6r6xtdFm3FxwcLDif7WxPU+eRGGXnUWUr6/le2fjnp6zQ0FDRYJT9Xqq7H1Xx21MebB5CQkKkqpmz2PPbzc1NqmYP22781q1bcss8f/6ca44hq6zHtazq1q2Lbt26oaSkRCMdY+ro6HCdVIo9SCWEfLoomCeEEHwM5s+ePSv1ntWhQwc8ffoUiYmJMDU1leu8SUtLi6v6u27dOqkhoF69eoU5c+agsLAQLi4u8PT0VDlfly9fxooVK+RKsT58+MAFrQ4ODlLz2Jtefk/JfGzzgc2bN0v1wnzz5k18//33gj1MA+CGRtqwYQN3nIDSjrz+9a9/iVZznTp1Kho0aIDDhw9j+fLlePfundT8rKwsHDx4EBs2bBBcXlarVq1Qv359PH/+HBs3buQC+vz8fCxbtgx3795VaT2q6ty5M9q1a4fc3Fz8+9//luq47MSJE9i7d69GO2YbP348jI2NkZCQgJ9//hkFBQUASqvzb9myBREREdDT08OXX36psW0KYavzPnz4UDQA1bSKON8rG/v9WrNmjdRxi4yMxMqVK0W/X+x+sKM6qKqifnsqytChQ2FlZYVXr15h/vz5UrUJjhw5gv379wOAXOdxPXr0AACcOXMG58+f56a/fPkS8+bN40YLkMV/CJCbm6vRfREze/Zs6OvrY+PGjdi8ebPcg4SXL19i586dUh1Drl69GiEhIXK/jw8ePMDJkycBfBxBgRBCWNRmnhBCUFrqx/agDMgH8x07duRuqDp27ChYdXPixImIj4/H8ePH4ePjgxYtWsDY2BgPHjxAYWEhrKys8Ntvv6mVrw8fPmDbtm3Ytm0bzMzMYGVlhaKiIjx9+hS5ubkwMTHhxoNmDR48GMHBwdiyZQv+/vtvmJubQ0tLC1OnTkWPHj0wduxY7N27F8nJyfjHP/4BW1tbFBYW4smTJ2jVqhUGDx7MjSnPN2jQIIwaNQqHDh3C9OnT0bx5c9SvXx8PHz6EgYEBfH19ERgYKNc5WZMmTbBhwwbMmDEDO3bsQHBwMGxtbVG3bl28efMGKSkpYBgGgwcPVumY6OnpYfbs2fjpp5/wxx9/YM+ePbCwsEBSUhI+fPiApUuXYtGiRWodZ0W0tLSwcuVKTJo0CZGRkejRowdatWqFzMxMpKamYsKECTh//jzXfKG8LCwssHLlSsyePRs7d+7En3/+CWtra6SlpeH169fQ1tbGDz/8UOG9fJuZmcHT0xNXrlxBv3790KpVKxgYGKBRo0ZYvXq1yuvJyMjA+PHjFabZunUrjIyMKuR8r2x+fn4ICwvDjRs30Lt3b9ja2uLdu3dITU2Fh4cHGjduzLWr5+vWrRvq16+P2NhY9OrVC82bN4euri66d+8u2LcFX0X89lSUunXrYs2aNfD19cWJEycQERGBli1b4vXr11x/F9OnT+c6AGXZ2dlh9OjROHjwIKZNm4ZmzZrBxMQEiYmJsLa2xvjx46XGbWc5ODjAxsYGSUlJ6NWrF2xtbaGnp4c2bdpg4cKFFbKPbdu2xe+//45vv/0Wq1atQkBAAFq2bMlVv2f3k//AIjExEYGBgVi8eDH32/r27VtuKEMPDw8MHz68QvJLCKm5qGSeEEJQWhWzffv2AErbYssOj8avVi/bXp6lpaWF3377DStWrECHDh3w+vVrJCYmomnTpvD19UVoaKjaQwy5u7tj0aJF6N27NwwNDfHo0SOkpqbC2toafn5+OHnypFxJZYcOHbBq1Sq0b98eL1++RExMDKKjo7lOsIyNjbFnzx6MGDECxsbGePLkCQoLC/Hll19i//79CjvJWrZsGX788UdIJBK8ePECaWlp6N27N0JCQri28ULLu7u748SJE/jnP/8JOzs7pKSk4P79+9DW1kb37t3x448/qnVjPXHiRPz6669o27YtsrKykJycDEdHR2zevFl0PPvyaN26NQ4ePIihQ4eiTp06SExMhJGREX744QcsXry4TOtkSxKFOgXs27cvQkND8dlnn0FfXx/37t0DwzDo378/9uzZg7Fjx5Zrf1S1atUqjBw5EsbGxrhz5w6io6Nx48YNtdZRUFCAuLg4hX/ssaiI872yWVlZYd++fRgwYAD09PTw+PFjrlO/rVu3itbiMDY2RlBQEHr06IHCwkJcv34d0dHRon018FXEb09FcnZ2xpEjRzB27FiYmpri/v37yMnJQbdu3bB582Z88803gsstWbIEs2bNgrW1NV68eIE3b95g7Nix2L9/P+rVqye4jLa2NjZt2oSBAwdCR0cHN2/eRHR0tGBzIk3q378/wsLCMHnyZDRt2hRPnjzBw4cPUadOHfTv3x8rVqyQekgzffp0TJs2DU5OTsjJyUFCQgLy8vLQqVMnrFixAtu2baOx5wkhcrSYsow3QgghhMhYunQp/ve//2HBggVclXwi7p///CfOnTsHX19f/Pvf/67q7BBCCCGkhqGSeUIIIeX24cMHrpMtNze3Ks5NzfDgwQMApdWHCSGEEELURcE8IYQQle3YsQMJCQlS0168eIFZs2YhIyMDDg4OXHMFIm7Hjh1ITU3l2kQTQgghhKiLGt8QQghR2ZkzZ7B8+XKYmJigefPmKCgowOPHj1FSUgJTU1P88ssvVZ3Fas3X1xf3799HRkYGgNLO0ti+BgghhBBC1EHBPCGEEJVNnjwZ9erVw927d/H48WMwDANra2t0794dU6dOhYWFRVVnsVq7efMmCgsL4eDggLFjx1ZaR3aEEEIIqX2oAzxCCCGEEEIIIaSGoTbzhBBCCCGEEEJIDVPrqtlnZmZqfJ3169fH27dvNb5eQqoKndOkNqLzmtQ2dE6T2ojOa1LbVNQ5bWpqqjQNlcyrQFubDhOpXeicJrURndektqFzmtRGdF6T2qYqz2n6NhFCCCGEEEIIITUMBfOEEEIIIYQQQkgNQ8E8IYQQQgghhBBSw1AwTwghhBBCCCGE1DAUzBNCCCGEEEIIITUMBfOEEEIIIYQQQkgNQ8E8IYQQQgghhBBSw1AwTwghhBBCCCGE1DAUzBNCCCGEEEIIITUMBfOEEEIIIYQQQkgNo1vWBf/++2/s2bMHd+/eRW5uLho1agQXFxd8++23sLS05NJlZ2dj3bp1CA8PR0ZGBszNzTFgwADMnDkTxsbGgus+duwYdu7ciYcPH0JPTw8uLi6YNWsWnJycyppdQgghhBBCCCGk1lA7mGcYBj/++CP2798Pa2trDB48GEZGRnj58iViYmKQmprKBfM5OTmYNGkSEhIS0LVrVwwZMgT37t3Djh07cPXqVezZsweGhoZS6w8MDMTq1athZWWFcePGIScnB2FhYRg/fjyCgoLg4eGhmT0nhBBCCCGEEEJqKLWD+d27d2P//v2YOHEiFi5cCB0dHan5RUVF3OutW7ciISEBfn5++Pbbb7npa9euxfr167F161bMmjWLm56UlIR169bBxsYGBw8ehImJCQDA29sbXl5eWLRoEU6ePAld3TJXKCCEEEIIIYQQQmo8tdrM5+XlYf369WjevDm+//57uUAeABdoMwyDkJAQGBoaYsaMGVJpvvrqK9SvXx8HDx4EwzDc9NDQUBQVFWH69OlcIA8ArVu3xvDhw5GcnIwrV66otYOEEEIIIYTURMXF9FeeP0JqO7WC+aioKGRlZaFfv34oKSlBeHg4Nm/ejL179+Lp06dSaZOSkvDy5Uu4ubnJVaU3MDBAhw4d8OLFC6nloqOjAQBdu3aV23b37t0BADExMepkmRBCCCGEEEIIqXXUqq9++/ZtAICOjg6GDRuGJ0+ecPO0tbXh4+OD7777DgC4IN3GxkZwXS1atODSsWmSkpJgaGgIc3Nz0fRJSUnqZJkQQgghhBBCCKl11ArmX79+DQDYvn072rVrh5CQENjZ2SEhIQE//PADtm3bhubNm2PChAl4//49AIj2WM9OZ9MBpT3fm5mZKUyfnZ2tMI/169eHtrbmR9wzNTXV+DoJqUp0TpPaqDzndWhoKBYsWIDly5dj5MiRGswVIWVXU3+r+/TpAwA4e/ZsFedENfb29ujUqRN2795d1VmRUlurilfWeS3QIpiQClFVv9VqBfNs+3Y9PT2sX78eFhYWAIAOHTpg7dq1GDZsGLZv344JEyZoPqcqevv2rcbXaWpqiszMTI2vl5Cq8qmf01rp6VWdBVEMb2jPskpLS5MLRnV1dWFmZgYXFxd4e3ujdevW5d5OdVPe8/rDhw/cf/56PD094erqio0bN5Y7j4rcuHED+/fvx61bt5CZmYm6devCzMwM9vb28PDwwJAhQyp0+9XV9evXcf78ecTFxSE9PR15eXmwtLRE9+7d8cUXX0j1saNJlfW5K6KJ3+oRI0bg+fPnCtP8/fffah/Hn376CSdOnEBoaCisrKzk5hf/fxRaXa4106dPR3x8vMK+lwoLC6tNflm1MZivzHsQCuZJZaioc1qVBwRqBfNs6bijoyMXyLNat26N5s2b4+nTp3j37h13URArSWen8y8exsbGUiX1QunFSvoJIYRIa9asGQYOHAgAyM3Nxe3btxEeHo6IiAgEBASgffv2VZzD6qVXr15wdHREo0aNKn3bx48fx3//+1/o6OigS5cuaN68OfLz85GamopLly4hPj7+kw3mv//+e7x9+xbt27fH4MGDAQBxcXH43//+h4iICGzevFm0Vh8ppaOjAx8fH9H5+vr6Gt9mQECAxtdZkfbt24c6depUdTYIIUQtagXzLVu2BADRp7fs9Ly8PKVt3Nk29Ww6oLR9fXx8PDIyMuTazStrg08IIURas2bNMHXqVKlpgYGB2LFjBwIDA7Fhw4Yqyln1ZGxsXCUPjPPy8vD777/D0NAQmzdvhp2dndT8oqIixMbGVnq+qotx48Zh8ODBUg9ZGIbBr7/+itDQUAQFBUkNf0vk6ejoyP0WVLRmzZpV6vbKi+4vCSE1kVrBvIeHBwDg8ePHcvMKCwuRnJwMQ0NDmJmZwdzcHI0bN0ZcXBxycnKkerTPz8/HtWvX0LhxY6lgvmPHjoiPj0dUVBRGjBghtf4LFy5waQghhJSNl5cXduzYgYSEBG4aW514yZIlCAwMxJUrV5CZmYmAgAC4u7sDAMLCwhAaGsr9/rds2RIjR46UKy2OjY3FjBkz4Ovriw4dOmDz5s24d+8e9PT04OnpCX9/fzRu3FguX2/evMGuXbtw8eJFvHjxAoaGhnB1dcXUqVPlglv2+rB3715s2rQJZ86cQVZWFmxtbeHj48O11WVlZ2djz549OHv2LF68eAFtbW00atQIjo6OmDZtGlfT7Pjx41i2bBkWLVqEoUOHcvsCAPHx8fD09OTWuWjRIgDAsmXL4O/vj0mTJsnt06VLlzBnzhyMGTMGc+bMEf1MHj16hJycHPTo0UNuX4HSJhLs9VdWZGQkDh06hISEBOTl5Uk1peCv6+3bt9i+fTvOnz+PV69ewdjYGG5ubvDz84Otra3UOtnq04cOHUJkZCSOHj2KlJQU9O/fH4sXLwag3ueVnJyMnTt3Ii4uDq9fv0bdunVhYWEBd3d3zJ49W/S4sCZPniw3TUtLC1OmTEFoaCji4+OVroMvNjYWu3fvxsOHD/H27VvUr18fzZs3x6BBgzB8+HCln/vQoUORnZ2N0NBQXL58Gc+ePUNWVhYaNGiAjh07wtfXVzCQzcrKwsaNGxEZGYmcnBy0bNkSX3zxBbKzs6XOO7579+5h3bp1iI+Px9u3b9GoUSN069YNU6dORf369dXab1W9evUKu3btwqVLl5CRkQEDAwOYm5vD2dkZM2bMgJGRkVTVfX6THn6zBPZ7+ueff3Lzt2zZgqCgIKxfvx7p6enYu3cvUlJSYGZmhnHjxmHs2LFgGAYHDhxAaGgo0tPTYWFhgSlTpuAf//iHVD6Tk5Nx5MgRxMTE4Pnz58jLy4OFhQV69eqFL7/8Uuq+k/8Z8l8PHjyYO6fFmlWU5bsTGhqKS5cuISQkBOnp6TAzM8PQoUMxZcqUCunXiRDy6VIrmLe2tka3bt1w8eJFhISEwMvLi5u3efNmvHv3DsOGDePGmvfy8sL69euxfv16qafmmzZtwtu3bzFjxgxoaWlx00eOHIlt27Zh48aN6Nu3L1fSn5iYiCNHjsDa2lrqR5gQQoh6+L+5fO/evcPUqVNRr1499OvXD4WFhTAyMgIArFmzBvv27YO5uTk+++wzaGlp4dy5c1i6dCkSExPxzTffyK3vzp072LVrF7p06YIxY8bg/v37CA8Px40bN7Bt2zY0bNiQS5uSkoKvv/4aGRkZ8PDwQI8ePZCZmYlz587h6tWrWLduHRwdHaXWX1xcjFmzZuHdu3fo2bMn8vPzcfr0aSxcuBBr1qzhgl+GYTB79mzcuXMH7du3h6enJ7S1tZGeno7z589j8ODBcs3GWJaWlvD19UVQUBCaNGki9eBCIpHA2toaa9aswdGjRwWD+SNHjgAAhg0bpuATAerVqwegtK+DkpISlW/2161bh+DgYNSrVw89e/aEqakpXrx4gZiYGLRp04YLqt++fQtfX1+kpKTAzc0N/fv3R3p6Os6ePYtLly5h7dq1cHJyklv/qlWrcPv2bXTt2hVdu3blqrKr83llZGTA19cXubm56Nq1K6ytrZGbm4tnz54hJCREpWBeDHuvoaNGo9ioqCjMmzcPJiYm6N69Oxo1aoTMzEwkJibi1KlTGD58uNLPHSitdbhlyxa4u7ujZ8+eqFOnDp4+fYrw8HBERUVh586dsOT1f5GTk4Pp06fjyZMncHZ2hrOzMzIyMrB48WJ06tRJMK+RkZFYtGgRtLW10b17dzRu3BhJSUk4ePAgrl69iqCgIO7c0ZS8vDxMmzYN6enp8PDwQM+ePVFUVITU1FSEhYVh0qRJMDIywrhx4xAWFobExESMHTuWq9FiqWKfH/v370dcXBx69OgBd3d3nDt3DqtXr0adOnWQmJiIs2fPomvXrnB3d8fp06exZMkSWFpawsXFhVtHREQEjh07Bnd3d7i5uYFhGNy+fRu7d+9GfHw8AgMDuXPE19cXYWFheP78OXx9fbl1sJ+nmLJ+dwICAhAXF4euXbvCw8MDkZGR2Lp1KwoLCzF9+nSVjhEhhKhCrWAeAH788UeMGzcOixYtwunTp9GyZUvcvXsXV65cQdOmTfHvf/+bS+vn54ezZ89i69atSEhIgIODA+7du4fIyEi0bdsWfn5+Uuu2tbWFv78/1qxZg2HDhmHgwIHIyclBWFgYioqKsHTpUu6HmRBCiPoOHDgAAGjbtq3U9EePHmHo0KFYsGCBVHB0/fp17Nu3DzY2Nti6dSt30z516lT4+vpi37596NWrl9RNNgBcuXIF33//vVQgGxQUhC1btiAwMBALFy7kpi9ZsgSvX7+WCsIB4Msvv4SPjw+WL1+O4OBgqfVnZGSgbdu22LBhA/T09AAAo0aNgo+PD/bu3cut59GjR7hz5w569uyJFStWSK2joKAARUVFosfKysoKU6dORVBQECwtLQWrKQ8aNAgHDx5EfHw8XF1duelv3rxBVFQUHBwc0KpVK9FtAKXVke3t7XH//n3MmDEDQ4YMgYODA6ytrUUD1UuXLiE4OBh2dnbYsGGDVCltUVGRVGewAQEBSElJwRdffCEVSAwZMgTffPMNfvrpJ+zfv1/uIcLDhw+xa9cuNGnSRGq6Op/XuXPn8P79e/zrX//C2LFjpdaTlZWl8Lgoc+zYMQAQDYbFlmEYBuvXr5frBJI9Zqp87jY2Njh+/Lhc6XhsbCxmzpyJ7du34/vvv+em7969G0+ePMHo0aMxb948bvrQoUO5WgCyeVmyZAnMzMwQGBgo9RmEh4dj8eLF2Lx5s9S6FCkuLsaWLVsE5zVs2JArXY+JiUFaWhrGjRsn95Duw4cPXNv6cePG4cGDB1wwL9QBniLXr1/Hzp070bRpUwDAxIkTMXr0aKxbtw5mZmYIDg7mOn4aMmQIfH19ERwcLPU7M2jQIIwfP577/rPY35nTp09j0KBBAEp/r+Li4vD8+XO1mhuU9btz7949/O9//+OahkyZMgVeXl4ICQmBn5+fXJ4JIaSs1K7rY21tjUOHDmHkyJG4c+cOdu/ejadPn2LixIkICQmRautuaGiI3bt3w8fHB48fP8b27duRmJgIHx8f7N69W6oKFGv69On49ddfYWZmhr179+LEiRNwdXXFnj17qFSeEELUkJKSgi1btmDLli1Yu3Ytpk2bhh07dsDAwECudEhPTw/+/v5ywWNYWBiA0oez/PbkxsbG3ANZNg1fixYt8Nlnn0lNmzhxIkxNTREeHo7CwkIAwP3793Hr1i0MHjxYriq5tbU1hg8fjkePHuHRo0dy2/jmm2+kboo7d+6MJk2a4O7du3JpDQwM5Kbp6+sLXofUwVYlPnr0qNT0EydOoKioCMOHD1e6Di0tLfz8889wcnJCfHw8li1bhvHjx6Nv377w9/fH8ePHuZ7BWQcPHgQAzJkzRy6g1NXV5Wo+FBYWIjw8HPXr18eXX34plc7T0xOenp549uwZbt68KZeviRMnygXyZf28hI5/gwYNFBwVxR48eICgoCCYmprC29tb7eWF8qNOtXVjY2PB9O7u7rC1tUVMTIzU9L/++gv6+vpSpcJseqF7mxMnTuDDhw+YM2eO3GcwYMAA2Nvb4/Tp0yrnt7i4GEFBQYJ/hw8flksvdHyMjIw0FoSOGTOGC+QBwMLCAs7OzsjOzoaPj49UD84ODg5o2rQpEhMTpdbRuHFjwfyMHj0aAOQ+A3WV57szZcoUqT4eGjRogO7duyMnJ4frA4oQQjShTMXclpaWWL58uUppTUxMsGDBAixYsEDl9Q8bNkxptURCCCGKpaSkICgoCMDHoekGDBiAyZMny5UWW1lZCQZX9+/fBwC4ubnJzWOnyd5kA0D79u3lqvTXqVMH9vb2uHLlCpKTk2FnZ4fbt28DKC3JFio5ZG98nz59KtUW28TERLA0sHHjxtw6gdISVDs7O4SHh+Ply5fo0aMHXFxcYG9vr1b1bDGtWrWCk5MTzp49i7lz53IPPI4dOwZDQ0P069dPpfU0bdoUW7ZswYMHDxATE4O7d+/i1q1buHbtGq5du4aTJ09i9erVXMno3bt3oa+vL1UbQEhSUhLy8/Ph5uYm2FO3m5sbrly5gsTERLnaFQ4ODnLp1f28unXrhg0bNuC3335DTEwMPD094ezsDGtra5WOi5C0tDTMnTsXJSUlWLZsmdx5K5SvcePGwcTEBH379kVERAT8/PzQv39/uLu7w8XFpUy94cfGxmL//v24c+cOsrKypB648IPMDx8+ID09HS1bthQcZsjJyUluuDT2ON+4cYP7DvIVFBQgKyuLa6uvjL6+PiIjI5Wmc3V1RcOGDbFr1y4kJiaiS5cucHZ2RqtWrUSb6JSFUPV29gGU0LCZDRs2xJ07d6SmMQyD48ePIywsDI8fP0Z2djZKSkq4+a9evSpXHsvz3bG3t5dLz/YVIjbKEyGElAXVWSeEkFrK09MTa9asUSmtWDCTk5MDbW1twSDEzMwM2tragjenYmOjstthl3n37h2A0rbMUVFRovnLzc2Ves+255elo6MjdUOvq6uL9evXY+vWrYiIiMDatWsBlJaUeXl5wcfHp9xB/fDhw7Fs2TL89ddfGD16NK5fv46nT59i+PDhapf8SyQSqUAnNjYW//nPfxAbG4tDhw5h/PjxAID379/D3Nxcafv6Dx8+ABD/fGU/D6F5fOp+XlZWVlynZ5cvX8aZM2cAlNbcmDZtGvr27asw/7LS09Px9ddfIysrC8uXL+c6aORjH2DxDRkyBCYmJujfvz90dXWxf/9+/Pnnnzh06BC0tLTg5uaG2bNnK21DzTpz5gwWLVqEunXrwtPTE5aWllzAx7bNZrGfgVjQreg4yzYvkZWbm1uuGg6yjI2NsWXLFmzduhUXL17EpUuXAJQGopMnT+ZKvctL6PvLfg/F5snWTlm1ahUOHjwICwsLdOvWDY0aNeIeogQFBaGgoKBceSzPd0fR/snuByGElAcF84QQQkQZGhqipKQEmZmZcje1b968QUlJieCNa2ZmpuD63rx5AwBcCTa77Ny5c6U6VdWkBg0aYN68eZg7dy6SkpIQGxuLkJAQbNmyBbq6uvjiiy/Ktf5+/frhjz/+wNGjRzF69Giuyr0qVeyVcXd3x1dffYVly5bh2rVrXDBvYmLCHX9FAT17fNnjLoudLvZwRGx96nxerVu3xi+//IKioiLcu3cPly9fxoEDB7Bo0SI0atQIzs7OKq0nLS0NM2bMwKtXr/Dzzz+jW7dugulkS7ll9e7dG71798aHDx9w8+ZNriO12bNn48CBA6LD7/Jt3boV+vr62LFjh1wtA9nq7+wxE+sjQOizYZc5duyY3FC9Fc3KygqLFy9GcXExHj16hKtXr+LAgQP47bffUK9ePQwYMKBS8yPkzZs3OHToEFq1aoWtW7dKlZy/fv1a8IGOujT93ampKuLZQ3Fxxay3OtFAxS9CVELjYxBCCBHFVheNi4uTm8cOCSZUmnnz5k0wDCM1LS8vD/fv34eBgQEXALFVuW/duqXRfAvR0tKCra0tRo8ezZXQs8OeKqKtrS1V2i+rTp06GDhwIB48eIC4uDicPXsWrVq1Qrt27TSSb6Eqvu3atUNBQYHSYdlsbGxgYGDADV0nS9FnKKQ8n5euri4cHR0xdepUzJkzBwzDKCzd50tLS+N60F+2bBl69Oih9vZlGRkZoXPnzliwYAGGDBmCzMxMqarcij731NRU2NjYyAXyGRkZSElJkduOpaUlUlJSBB9yCR1L9jhfv35d3d3SGB0dHUgkEnh7e2Pp0qUApL8vbEmzou9GRUlLSwPDMOjYsaPc90PsmKlbMq7p7w4hhFQECuYJIYSIGjx4MIDSaqtstVOgtAoqW/rFpuF7+vQp19s4Kzg4GJmZmRgwYABXHdbBwQEODg74+++/8ffff8utp6SkRPBBgqrS0tLw5MkTuelsqZpQR1+y6tWrh5cvXypM8/nnnwMoHfElLy9PrVL5tLQ0hISESB1fVm5uLvbv3w8AUiXYbHXn33//XarneqC0N/vXr18DKG273b9/f2RlZWHnzp1S6aKjo3H58mU0a9YM7du3Vymv6n5ed+/eFSzZVOf48wP5pUuXolevXirlVUhMTAzy8/NVyo+iz71JkyZISUnhjjMA5OfnY+XKlYLB4sCBA1FQUCBXYhwbGytYk2Do0KEwNDTE6tWr8fjxY7n5eXl5Un1DaMqjR4+Qnp4uN13s+ABQ+t2oCGyngLdu3ZJ6mPDy5Uts2LBBcBl186vp7w4hhFQEqmZPCCFElKurKzek0oQJE9C7d28wDIOIiAi8ePECY8aMEeyEzcPDA7/++iuioqJgY2OD+/fv48qVK7CwsMA///lPqbRLly7F119/jR9++AH79+9HmzZtoK+vjxcvXuDWrVvIyspSqfMuIYmJifjuu+/Qrl07tGzZEg0bNkRGRgbOnz8PHR0dTJgwQek63N3dcebMGSxYsAASiQQ6Ojro0qWLVCeCdnZ2cHJywq1bt2BgYMANiaWK7OxsrFq1CgEBAXB2dkbLli1hYGCAjIwMXLx4Ee/evUObNm0wZswYbpkuXbpg4sSJCA4OhpeXF3r27AkzMzNkZGQgJiYGEydOxLhx4wAAM2bMQHx8PLZv345bt27BwcGBGyu7Tp063FjmqlLn8zp16hQOHToENzc3NGvWDEZGRnjy5AkuX76MBg0ayI14IOTrr7/G8+fP4ejoiIcPH+Lhw4dyaVQdbmzt2rV48eIFXF1dYWlpCS0tLdy4cQN3796Fk5OTVGCm6HP38vLCqlWr8MUXX6B3794oLi5GdHQ0gNJmBbKdQnp7e+PcuXM4ePAgHj58CGdnZ7x8+RJnzpxBt27dcPHiRanPwNTUFEuXLsXChQvh7e0NT09PtGjRAgUFBUhPT0d8fDzat2+vcp8YioamA0r7FLCyskJMTAzWrl2L9u3bo0WLFqhfvz5SU1Nx8eJFGBgYSLWZd3d3R3BwMFasWIE+ffqgbt26sLCwwMCBA1XKU3k0atQIvXv3xrlz5+Dj44OOHTtyw0G6u7sjNTVVbhl3d3ecPXsWCxcuROfOnWFgYAA7Ozt07dpVdDua/u4QQoimUTBPCCFEoblz58Le3h6hoaH4888/AQAtW7bE1KlTMXToUMFlHB0d4ePjg02bNmH//v1cKZe/vz/XazXLysoKu3btwt69exEZGYljx45BR0cHDRs2hIuLC/r06VPmvLdt2xaTJ09GXFwcoqKikJ2djYYNG8LDwwMTJ04U7LFd1pw5cwCUlqKeP38eJSUlMDMzkxsRYMiQIbh16xZ69+6tUrtrlo2NDZYvX46rV6/izp07+Ouvv/D+/XsYGRnB1tYWvXr1wsiRI+VKsWfOnAlHR0ccPHgQ586dQ0FBARo2bIgOHTpIjb1uamqKoKAgbNu2DZGRkbh+/TqMjY3Ro0cP+Pr6So0SoAp1Pq/+/fujoKAAN2/eREJCAgoKCtC4cWOMGjUKEydO5Hr4VoTtTO727duipdGqBvOTJ09GREQE7t+/j6tXr0JXVxdWVlbw9/fHqFGjpDpDVPS5jx49Grq6uggJCcHRo0dhbGyMLl26YPr06Vi4cKHcdo2MjBAYGIgNGzbgwoULSEhIgK2tLX766ScuWJZte921a1ccPnwYGzZsQExMDKKjo1G3bl2Ym5tj6NChaj0wYoemE+Pm5gYrKyt4eHjAy8sL8fHxiIiIQG5uLszNzdGvXz9MmjQJtra23DJdunSBv78/jhw5gt27d6OoqAiurq6VEswDwA8//ABLS0ucO3cOISEhsLCwwLhx4zB58mTB/hSGDx+O9PR0nD59Gjt27EBxcTEGDx6sMJjX9HeHEEI0TYuRbdRYw4l1ulQepqamFbJeQqoKndOkosTGxmLGjBnw9fVVOcDSlKo+r1euXInQ0FBs3LhR6ZBxhLB+/PFHnDp1Cnv37pUKloGqP6dJ1avqjuIqYvuVeV5XVUd01AHep6WizmmxkYH4qG4QIYQQUk6ZmZk4efIkbGxsKJAngoTGPY+Li8Pp06fRokULuUCeEEIIUYaq2RNCCCFlFBUVhfv37+Ps2bPIzc2Fr69vVWeJVFNz5syBgYEBWrdujbp16+LJkye4cuUKtLW1uSr9hBBCiDoomCeEEELK6MyZMzhx4gTMzc0xffp09O/fv6qzRKqpwYMH49SpUzh9+jQ+fPgAExMTdOvWDZMnT4ajo2NVZ48QQkgNRG3mVUBt1khtQ+c0qY3ovCa1DZ3ThNrMlw+1mSeVgdrME0IIIYQQQgghRGUUzBNCCCGEEEIIITUMBfOEEEIIIYQQQkgNQx3gEVJeVd2grSyKizWXb2oYRgghhBBCSKWjYJ4QQgghhJBPmNjz/Yoor9BkeYImUdkEqYkomCefloq6KtU05b2S0hWPEEIIIYSQKkVt5gkhhBBCCCGEkBqGgnlCCCGEEEIIIaSGoWCeEEIIIYQQQgipYSiYJ4QQQgAcP34cnp6eOH78eFVnhZAab8SIERgxYkRVZ0Nlnp6emD59elVngxBC1EId4BFCPjnp6VpVnQVRlpZMudeRlpaGkSNHSk3T1dWFmZkZXFxc4O3tjdatW5d7O58KT09PuLq6YuPGjRW6nRs3bmD//v24desWMjMzUbduXZiZmcHe3h4eHh4YMmRIhW6/unrz5g2OHTuGe/fu4d69e0hPTwcAXLlypUK3W1mfe0UbMWIEnj9/rjDN33//DRMTE7XW+9NPP+HEiRMIDQ2FlZVVebJYKaZPn474+PgKP28IIaQyUTBPCCG1VLNmzTBw4EAAQG5uLm7fvo3w8HBEREQgICAA7du3r+IcVi+9evWCo6MjGjVqVOnbPn78OP773/9CR0cHXbp0QfPmzZGfn4/U1FRcunQJ8fHxn2ww/+TJE2zcuBFaWlpo3rw56tSpg7y8vKrOVo2io6MDHx8f0fn6+voa32ZAQIDG11mR9u3bhzp16lR1NgghRC0UzBNCSC3VrFkzTJ06VWpaYGAgduzYgcDAQGzYsKGKclY9GRsbw9jYuNK3m5eXh99//x2GhobYvHkz7OzspOYXFRUhNja20vNVXdjY2GDjxo2QSCQwMjLC2LFj8fTp06rOVo2io6Mj91tQ0Zo1a1ap2ysvGxubqs4CIYSojYJ5Qgj5hHh5eWHHjh1ISEjgprHViZcsWYLAwEBcuXIFmZmZCAgIgLu7OwAgLCwMoaGhePz4MQCgZcuWGDlypFxpcWxsLGbMmAFfX1906NABmzdvxr1796CnpwdPT0/4+/ujcePGcvl68+YNdu3ahYsXL+LFixcwNDSEq6srpk6dKhfcsu1w9+7di02bNuHMmTPIysqCra0tfHx80KdPH6n02dnZ2LNnD86ePYsXL15AW1sbjRo1gqOjI6ZNmwYLCwsApaXjy5Ytw6JFizB06FBuXwAgPj4enp6e3DoXLVoEAFi2bBn8/f0xadIkuX26dOkS5syZgzFjxmDOnDmin8mjR4+Qk5ODHj16yO0rUNpEwsPDQ3DZyMhIHDp0CAkJCcjLy5NqSsFf19u3b7F9+3acP38er169grGxMdzc3ODn5wdbW1updbLVpw8dOoTIyEgcPXoUKSkp6N+/PxYvXgxAvc8rOTkZO3fuRFxcHF6/fo26devCwsIC7u7umD17tuhxYTVs2BANGzZUmk5VsbGx2L17Nx4+fIi3b9+ifv36aN68OQYNGoThw4cr/dyHDh2K7OxshIaG4vLly3j27BmysrLQoEEDdOzYEb6+voKBbFZWFjZu3IjIyEjk5OSgZcuW+OKLL5CdnS113vHdu3cP69atQ3x8PN6+fYtGjRqhW7dumDp1KurXr6+xY8L36tUr7Nq1C5cuXUJGRgYMDAxgbm4OZ2dnzJgxA0ZGRlJV9/lNevjNEtjv6Z9//snN37JlC4KCgrB+/Xqkp6dj7969SElJgZmZGcaNG4exY8eCYRgcOHAAoaGhSE9Ph4WFBaZMmYJ//OMfUvlMTk7GkSNHEBMTg+fPnyMvLw8WFhbo1asXvvzySxgaGnJp+Z8h//XgwYO5c1qsWUVZvjuhoaG4dOkSQkJCkJ6eDjMzMwwdOhRTpkyBtjZ1V0UI0RwK5gkh5BOipSXcX8C7d+8wdepU1KtXD/369UNhYSGMjIwAAGvWrMG+fftgbm6Ozz77DFpaWjh37hyWLl2KxMREfPPNN3Lru3PnDnbt2oUuXbpgzJgxuH//PsLDw3Hjxg1s27ZNKjhLSUnB119/jYyMDHh4eKBHjx7IzMzEuXPncPXqVaxbtw6Ojo5S6y8uLsasWbPw7t079OzZE/n5+Th9+jQWLlyINWvWcMEvwzCYPXs27ty5g/bt28PT0xPa2tpIT0/H+fPnMXjwYC6Yl2VpaQlfX18EBQWhSZMmUg8uJBIJrK2tsWbNGhw9elQwmD9y5AgAYNiwYQo+EaBevXoASvs6KCkpUflmf926dQgODka9evXQs2dPmJqa4sWLF4iJiUGbNm24oPrt27fw9fVFSkoK3Nzc0L9/f6Snp+Ps2bO4dOkS1q5dCycnJ7n1r1q1Crdv30bXrl3RtWtXmJmZAVDv88rIyICvry9yc3PRtWtXWFtbIzc3F8+ePUNISIhKwbwmRUVFYd68eTAxMUH37t3RqFEjZGZmIjExEadOncLw4cOVfu4AkJSUhC1btsDd3R09e/ZEnTp18PTpU4SHhyMqKgo7d+6EpaUlt1xOTg6mT5+OJ0+ewNnZGc7OzsjIyMDixYvRqVMnwbxGRkZi0aJF0NbWRvfu3dG4cWMkJSXh4MGDuHr1KoKCgrhzR1Py8vIwbdo0pKenw8PDAz179kRRURFSU1MRFhaGSZMmwcjICOPGjUNYWBgSExMxduxYrkYLf58V2b9/P+Li4tCjRw+4u7vj3LlzWL16NerUqYPExEScPXsWXbt2hbu7O06fPo0lS5bA0tISLi4u3DoiIiJw7NgxuLu7w83NDQzD4Pbt29i9ezfi4+MRGBgIXd3S21xfX1+EhYXh+fPn8PX15dbBfp5iyvrdCQgIQFxcHLp27QoPDw9ERkZi69atKCwspE72CCEaRcE8IYR8Qg4cOAAAaNu2rdT0R48eYejQoViwYAF0dHS46devX8e+fftgY2ODrVu3cjftU6dOha+vL/bt24devXpJ3WQDpZ2Tff/991KBbFBQELZs2YLAwEAsXLiQm75kyRK8fv1aKggHgC+//BI+Pj5Yvnw5goODpdafkZGBtm3bYsOGDdDT0wMAjBo1Cj4+Pti7dy+3nkePHuHOnTvo2bMnVqxYIbWOgoICFBUViR4rKysrTJ06FUFBQbC0tBSspjxo0CAcPHgQ8fHxcHV15aa/efMGUVFRcHBwQKtWrUS3AZRWR7a3t8f9+/cxY8YMDBkyBA4ODrC2tpb6LPguXbqE4OBg2NnZYcOGDVKltEVFRXj79i33PiAgACkpKfjiiy+kAokhQ4bgm2++wU8//YT9+/fLPUR4+PAhdu3ahSZNmkhNV+fzOnfuHN6/f49//etfGDt2rNR6srKyFB6XinDs2DEwDIP169fLdQLJHjNVPncbGxscP35crnQ8NjYWM2fOxPbt2/H9999z03fv3o0nT55g9OjRmDdvHjd96NChXC0A2bwsWbIEZmZmCAwMlPoMwsPDsXjxYmzevFlqXYoUFxdjy5YtgvMaNmzIla7HxMQgLS0N48aNk3tI9+HDB65t/bhx4/DgwQMumFe3A7zr169j586daNq0KQBg4sSJGD16NNatWwczMzMEBwfD1NQUQOl56uvri+DgYKnfmUGDBmH8+PHc95/F/s6cPn0agwYNAlD6exUXF4fnz5+r1dygrN+de/fu4X//+x/X/8aUKVPg5eWFkJAQ+Pn5yeW5pigu1tx6NLWumkTk55yQcqG6PoQQUkulpKRgy5Yt2LJlC9auXYtp06Zhx44dMDAwkCsd0tPTg7+/v1zwGBYWBgDw8/OTak9ubGwMPz8/qTR8LVq0wGeffSY1beLEiTA1NUV4eDgKCwsBAPfv38etW7cwePBguark1tbWGD58OB49eoRHjx7JbeObb76Ruinu3LkzmjRpgrt378qlNTAwkJumr68vVRW3LNiqxEePHpWafuLECRQVFWH48OFK16GlpYWff/4ZTk5OiI+Px7JlyzB+/Hj07dsX/v7+OH78OIpl7nwPHjwIAJgzZ45cQKmrq8vVfCgsLER4eDjq16+PL7/8Uiqdp6cnPD098ezZM9y8eVMuXxMnTpQL5Mv6eQkd/wYNGig4KhVLKD/qVFs3NjYWTO/u7g5bW1vExMRITf/rr7+gr68vVSrMpudX+2adOHECHz58wJw5c+Q+gwEDBsDe3h6nT59WOb/FxcUICgoS/Dt8+LBceqHjY2RkpLEgdMyYMVwgDwAWFhZwdnZGdnY2fHx8uEAeABwcHNC0aVMkJiZKraNx48aC+Rk9ejQAyH0G6irPd2fKlClSHWk2aNAA3bt3R05ODvX3QAjRKCqZJ4SQWiolJQVBQUEAPg5NN2DAAEyePFmutNjKykowuLp//z4AwM3NTW4eO032JhsA2rdvL1elv06dOrC3t8eVK1eQnJwMOzs73L59G0BpSbZQySF74/v06VOpttgmJiaCpYGNGzfm1gmUlqDa2dkhPDwcL1++RI8ePeDi4gJ7e3vRUm91tGrVCk5OTjh79izmzp3LPfA4duwYDA0N0a9fP5XW07RpU2zZsgUPHjxATEwM7t69i1u3buHatWu4du0aTp48idWrV3Mlo3fv3oW+vr5UbQAhSUlJyM/Ph5ubm2BP3W5ubrhy5QoSExPlalc4ODjIpVf38+rWrRs2bNiA3377DTExMfD09ISzszOsra1VOi5lIZSvcePGwcTEBH379kVERAT8/PzQv39/uLu7w8XFhWtCoI7Y2Fjs378fd+7cQVZWltQDF36Q+eHDB6Snp6Nly5ZSQSrLyclJbrg09jjfuHGD+w7yFRQUICsri2urr4y+vj4iIyOVpnN1dUXDhg2xa9cuJCYmokuXLnB2dkarVq1Em+iUhVD1dvYBlNCwmQ0bNsSdO3ekpjEMg+PHjyMsLAyPHz9GdnY2SkpKuPmvXr0qVx7L892xt7eXS8/2FZKdnV2ufBFCCB8F84QQUkt5enpizZo1KqUVC2ZycnKgra0tGISYmZlBW1tb8OZUKD1/O+wy7969A1DaljkqKko0f7m5uVLv2fb8snR0dKRu6HV1dbF+/Xps3boVERERWLt2LYDSkjIvLy/4+PiUO6gfPnw4li1bhr/++gujR4/G9evX8fTpUwwfPlztkn+JRCIV6MTGxuI///kPYmNjcejQIYwfPx4A8P79e5ibmyttX//hwwcA4p+v7OchNI9P3c/LysqK6/Ts8uXLOHPmDIDSmhvTpk1D3759Fea/LNgHWHxDhgyBiYkJ+vfvD11dXezfvx9//vknDh06BC0tLbi5uWH27NlK21Czzpw5g0WLFqFu3brw9PSEpaUlF/CxbbNZ7GcgFnQrOs6yzUtk5ebmarSGg7GxMbZs2YKtW7fi4sWLuHTpEoDSQHTy5MlcqXd5CX1/2e+h2DzZ2imrVq3CwYMHYWFhgW7duqFRo0bcQ5SgoCAUFBSUK4/l+e4o2j/Z/SCEkPKgYJ4QRVS56NbEC3NFNVijBmG1jqGhIUpKSpCZmSl3U/vmzRuUlJQI3rhmZmYKru/NmzcAwJVgs8vOnTsXXl5emsw6p0GDBpg3bx7mzp2LpKQkxMbGIiQkBFu2bIGuri6++OKLcq2/X79++OOPP3D06FGMHj2aq3KvShV7Zdzd3fHVV19h2bJluHbtGhfMm5iYcMdfUUDPHl/2uMtip4s9HBFbnzqfV+vWrfHLL7+gqKgI9+7dw+XLl3HgwAEsWrQIjRo1grOzs0rrUZVsKbes3r17o3fv3vjw4QNu3rzJdaQ2e/ZsHDhwACYmJkq3sXXrVujr62PHjh1ytQxkq7+zx0ysjwChz4Zd5tixYzA3N1eaH02ysrLC4sWLUVxcjEePHuHq1as4cOAAfvvtN9SrVw8DBgyo1PwIefPmDQ4dOoRWrVph69atUiXnr1+/Fnygoy5Nf3cIIaQiUJt5QgghotjqonFxcXLz4uPjAQhXmb158yYYhpGalpeXh/v378PAwIALgNiq3Ldu3dJovoVoaWnB1tYWo0eP5kroL1y4oHQ5bW1tqdJ+WXXq1MHAgQPx4MEDxMXF4ezZs2jVqhXatWunkXwLVfFt164dCgoKuM9AjI2NDQwMDLih62Qp+gyFlOfz0tXVhaOjI6ZOnYo5c+aAYRiFpfsVzcjICJ07d8aCBQswZMgQZGZmSlXlVvS5p6amwsbGRi6Qz8jIQEpKitx2LC0tkZKSIviQS+hYssf5+vXr6u6Wxujo6EAikcDb2xtLly4FIP19YUuaFX03KkpaWhoYhkHHjh3lvh9ix0zdknFNf3dqOrYMgP5U+yOkslAwTz4N6v4KFxTQH12pCErHYQZKq62y1U6B0iqobOkXm4bv6dOnOHbsmNS04OBgZGZmYsCAAVx1WAcHBzg4OODvv//G33//LbeekpISwQcJqkpLS8OTJ0/kprOlakIdfcmqV68eXr58qTDN559/DgD48ccfkZeXp1apfFpaGkJCQqSOLys3Nxf79+8HAKkSbLa68++//y7Vcz1Q2pv969evAZS23e7fvz+ysrKwc+dOqXTR0dG4fPkymjVrhvbt26uUV3U/r7t37wqWbKpz/DUpJiYG+fn5KuVH0efepEkTpKSkcMcZAPLz87Fy5UrBYHHgwIEoKCiQKzGOjY0VrEkwdOhQGBoaYvXq1Xj8+LHc/Ly8PKm+ITTl0aNHSE9Pl5sudnwAKP1uVAS2U8Bbt25JPUx4+fIlNmzYILiMuvnV9HeHEEIqAlWzJ4QQIsrV1ZUbUmnChAno3bs3GIZBREQEXrx4gTFjxgh2wubh4YFff/0VUVFRsLGxwf3793HlyhVYWFjgn//8p1TapUuX4uuvv8YPP/yA/fv3o02bNtDX18eLFy9w69YtZGVlqdR5l5DExER89913aNeuHVq2bImGDRsiIyMD58+fh46ODiZMmKB0He7u7jhz5gwWLFgAiUQCHR0ddOnSRaoTQTs7Ozg5OeHWrVswMDDghsRSRXZ2NlatWoWAgAA4OzujZcuWMDAwQEZGBi5evIh3796hTZs2GDNmDLdMly5dMHHiRAQHB8PLyws9e/aEmZkZMjIyEBMTg4kTJ2LcuHEAgBkzZiA+Ph7bt2/HrVu34ODgwI2VXadOHW4sc1Wp83mdOnUKhw4dgpubG5o1awYjIyM8efIEly9fRoMGDeRGPBDz008/ca/Zjs3402bNmqVS2/G1a9fixYsXcHV1haWlJbS0tHDjxg3cvXsXTk5OUoGZos/dy8sLq1atwhdffIHevXujuLgY0dHRAEqbFch2Cunt7Y1z587h4MGDePjwIZydnfHy5UucOXMG3bp1w8WLF6U+A1NTUyxduhQLFy6Et7c3PD090aJFCxQUFCA9PR3x8fFo3769yn1iKBqaDijtU8DKygoxMTFYu3Yt2rdvjxYtWqB+/fpITU3FxYsXYWBgINVm3t3dHcHBwVixYgX69OmDunXrwsLCAgMHDlQpT+XRqFEj9O7dG+fOnYOPjw86duzIDQfp7u6O1NRUuWXc3d1x9uxZLFy4EJ07d4aBgQHs7OzQtWtX0e1o+rtTG2jiWf6nUCYgtn/UGpFoWpmC+T59+gj+UALA2LFjpS6wQOmNyrp16xAeHo6MjAyYm5tjwIABmDlzptRQR3zHjh3Dzp078fDhQ+jp6cHFxQWzZs2Ck5NTWbJMCCEcS0tGeSLCmTt3Luzt7REaGoo///wTANCyZUtMnToVQ4cOFVzG0dERPj4+2LRpE/bv38+Vcvn7+3O9VrOsrKywa9cu7N27F5GRkTh27Bh0dHTQsGFDuLi4oE+fPmXOe9u2bTF58mTExcUhKioK2dnZaNiwITw8PDBx4kTBHttlzZkzB0BpKer58+dRUlICMzMzuREBhgwZglu3bqF3794qtbtm2djYYPny5bh69Sru3LmDv/76C+/fv4eRkRFsbW3Rq1cvjBw5Uq4Ue+bMmXB0dMTBgwdx7tw5FBQUoGHDhujQoQM6derEpTM1NUVQUBC2bduGyMhIXL9+HcbGxujRowd8fX2lRglQhTqfV//+/VFQUICbN28iISEBBQUFaNy4MUaNGoWJEydyPXwrc+LECYXT/Pz8VArmJ0+ejIiICNy/fx9Xr16Frq4urKys4O/vj1GjRkl1hqjocx89ejR0dXUREhKCo0ePwtjYGF26dMH06dOxcOFCue0aGRkhMDAQGzZswIULF5CQkABbW1v89NNPXLAs2/a6a9euOHz4MDZs2ICYmBhER0ejbt26MDc3x9ChQ9V6YMQOTSfGzc0NVlZW8PDwgJeXF+Lj4xEREYHc3FyYm5ujX79+mDRpEmxtbbllunTpAn9/fxw5cgS7d+9GUVERXF1dKyWYB4AffvgBlpaWOHfuHEJCQmBhYYFx48Zh8uTJ6Natm1z64cOHIz09HadPn8aOHTtQXFyMwYMHKwzmNf3dIYQQTdNiZBs1qqBPnz549+6dYKdBjo6O6N27N/c+JycHEyZMQEJCArp27Yp27drh3r17uHDhAtq2bYs9e/bI9fYbGBiI1atXw8rKCgMHDkROTg7CwsKQn5+PoKAgubFt+cQ6XSoPU1PTClkvqUTsI1JVHwWrk74GPl5W6ZxW9PhYR+fjfH46euT8yYuNjcWMGTPg6+uLqVOnVuq2q/q3euXKlQgNDcXGjRuVDhlHCOvHH3/EqVOnsHfvXqlgGaj6c5pUvcq6xRDbDv92SFMl6pV5XqtzW6LJW5j/H0VUbv10m1Q7VdQ5LTYyEF+Zq9nXq1cPM2fOVJpu69atSEhIgJ+fH7799ltu+tq1a7nhgmbNmsVNT0pKwrp162BjY4ODBw9ypRve3t7w8vLCokWLcPLkSejqUgsBUkH4V6taGsxXSh03umKRT0hmZiZOnjwJGxsbCuSJoFevXqFRo0ZS0+Li4nD69Gm0aNFCLpAnhBBClKnQiJhhGISEhMDQ0BAzZsyQmvfVV1/hf//7Hw4ePIiZM2dCS0sLABAaGoqioiJMnz5dqppi69atMXz4cOzbtw9XrlwRrEJFSIVS9ti6JqmIYJ6Cd/IJioqKwv3793H27Fnk5ubC19e3qrNEqqk5c+bAwMAArVu3Rt26dfHkyRNcuXIF2traXJV+QiqD0OW/Mkvma1qbebq9IdVZmXvtKCgowOHDhxEYGIg9e/bg3r17cmmSkpLw8uVLuLm5yVWlNzAwQIcOHfDixQs8ffqUm852ICPUhql79+4ASnujJYQQQqramTNnsHnzZrx9+xbTp09H//79qzpLpJoaPHgwioqKcPr0aezbtw93795Ft27dEBgYqLD5ICGEECKmzCXzGRkZmD9/vtS07t27Y+XKlTAzMwMALki3sbERXEeLFi24dGyapKQkGBoawtzcXDR9UlJSWbNNSOWqro+eq+tjcXr8XeO5u7sLDrVVWy1evBiLFy+u6myQGmDcuHHcCAOEVEeKSuw/5ZJ5Rei2hVS1MgXzI0eORKdOndCqVSvo6+vj0aNHCAgIQGRkJL7++mvs3bsXWlpaeP/+PQCI9ljPTmfTAaU937MPA8TSZ2dni+atfv36FTJMiCodEJBqTN028ELpy1LNvhpfrZSe0+p2gCfbs0tZrnB0VSTlRL/VpLahc/rTVhG3EWJBe2UF80Dlndea6ABP2e2QEOoA79NTVb/VZQrm/f39pd47Oztj06ZNmDRpEjeES69evTSRP7W9fftW4+uk3mSrsYrqnb62BvP/fxVRuTd7RQOlUjAvrDbsQw1Fv9WktqFzmlS3YL6goPzbr2m92VdEME+3CrVLjezNXpa2tjZGjhyJ2NhYxMXFoVevXlwHdmIl6ex0fkd3xsbGUiX1QunFSvoJIYQQQgghlaMsDxtqUzV7MarsHwX0RBM0Wh+dfXqQm5sLQHkbd7ZNPZsOKG1fn5OTg4yMDNH0Ym3wCSGEEEIIIYSQT4FGh6a7efMmAKBp06YASoPuxo0bIy4uDjk5OVI92ufn5+PatWto3LixVDDfsWNHxMfHIyoqCiNGjJBa/4ULF7g0hKisLOPG1/Jq9iqrbvmv7ugxOyGEkE+UOi0f1bktK4+qqmYvlladlol0S0FUoXbJ/MOHD/Hu3Tu56deuXcP27duhr6+PAQMGAAC0tLTg5eWFnJwcrF+/Xir9pk2b8PbtW3h5eXFjzAOlnevp6upi48aNUtXtExMTceTIEVhbW8PT01PdbBNCVMHv4Yb+NN/jDyGEEPIJqOpLdk35I6S81C6ZP3nyJLZu3YrOnTujadOm0NfXx4MHDxAVFQVtbW0sWbIEVlZWXHo/Pz+cPXsWW7duRUJCAhwcHHDv3j1ERkaibdu28PPzk1q/ra0t/P39sWbNGgwbNgwDBw5ETk4OwsLCUFRUhKVLl0JXV6MVCgghhBBCSC1S0YFSZQViFbEdoXWKbYedLhaA8t+zr6lEmZDKo3ZU7OHhgUePHuHu3buIjo5GQUEBGjZsiMGDB8PHxwft27eXSm9oaIjdu3cjICAAp06dQnR0NBo1agQfHx/4+/tLVb1nTZ8+HU2bNsXOnTuxd+9e6OnpwdXVFbNmzZJbPyEaI3vF4k+TfS20nLrzqoLQPgrNF0pPV+dSdBwIIYQQQkg1oMUwDFPVmdCkihoWgIaGqaZUCZZVrdNUE4L58q7v/8dKETynZYei09H5OAaNbDBflUPTVVUwrcp4MjSIbJWi32pS29SGc7qqnmnXxJL5qiztV7Vknn9bILscv2Re0b7wz+uKLiuoyqHpZOcJtZlXdGtBtxM1R1UOTafR3uwJIYQQQgghhBBS8ajxOSGEEEIIIUQjVKkIKVSyX5tQ/wGkslAwT2ofoXbfVM1eevmK6ka1tl6VKwNd8QkhpFZR95JYE6rZy94eid0mKdqXgoLSP2XV8Wuy8uwX3Q4QdVAwTwghhBBCyP9TtTseTaQpT/qy0mRv9oSQqkXBPCG1maLe6dW5E6kNV2961E0IIYSopSxD0yl6DciXzNe2DvA0WeOAbl2IMhTMk9pJ9iryqVazVxbM01WCEEIIIeUgVPVeUdmBnh6Qm1v7g3mhQX6E/vjrKe+gQOTTQ8E8qX1krxwUzMu/FzsWdOUghBBSC6lz+azoavZluZ3QJHWq2bND0RUUiJfMqxvMFxQAhYU1u9If3S6R6oKCeUJqOnUeJtS2avZ0NSWEEEKqtZIS6ffFxfLTahtN3DZRBUqiCgrmyaehppfMKwqqy7J9foM1lo4OoK+v+narGl3hCCGEVFOKbjlqUsm8UJt5flq2xF42LaukBCgqkl5nQUHpNG3t0vfs/4qgzkMDsWMgVpVelXn8+fxbLLqFIZpCwTwhnwpl9d7Y6ULvq2MwX9HoSksIIYQQQqoxCubJp0WVEu7aUDIv9nicfV+nzsfeZwDpnljYNDo6HxvLydb1Euq1RVZZgmFVlhF75K2MbK0DdbdbHvRggBBCCCGEaBgF84R8yhT1ZMOfXxtK5suzDxSME0JIraLoksA+xy7r8uz82lDNnv9MX5UWi4SQykXBPCFCakvJPL+xGL9kXlE1+/IE8xT0EkIIqcHU7R9WbNqnEszz35eUlLZ/l731YP/4y3yKHeCJ3VLSrRMpDwrmyaflU6hmz79qyl5RWWzvM/x5bFV6sWr2iqqpVyW6ChJCCCHVEgXzwtPK+sCIEFkUzBMipCYF8/wrYlGR4mCefZ+bK12PUFv7Y3eybDptbfmAn59eqM282GtVlaXNvKK28/zpFXVVpIcJhBBS7Yn17yqUrrwl87Il2LJpxarxV8eSeaF9Eru1ECqZLyr6eGsCfJwve0tBCCkbCubJp0tRz+3VNZgXepStqD6b2BVX7LG4ouUJIYSQT4QqbeLFpslWSa8NwTz7WjYQF7plUHRbQoE7IZpFwTwhhBBCCKm1hAJqZSXzFRnMq9JlTUVSJ5gXC8xlK/Px0yorYxB6ICCLgn5CVEPBPPl0yJa416SSeUUl5WUpmRe6krJV7cWusDW9lL4snwVVoSeEkE+eun3PVmQwr4nbCmW3EmLTxQJxZdXsZZdhq94rCtjF5tWUIF/dNvN0u0HKioJ5Qj51Yldl2Xn89vOybexZ5e2etSLbzCtS0Z370VWaEEIIIYRoGAXzhJBSyuq+1eaSeVWLOigoJ4QQUkaK+rItKFCtxFwTl+KylswLlbKrWzKvqwvo6QF5eR/LBHT/PxrhlxPI/q8uqlt+CKFgnpDqTlmHdKpUsxer4yY7nb+Mst7sha60Yq+VESrlF8MfOk9TJfOKlqMAnhBCCFGJWLCvbpv5mo6q0ZPKQsE8IaRsatrVtzL6NpBFV29CCKkVVG33zv4XajOvbJTZ6lwyX1KiWsm87LrYMgHZ9Qi1mVelZF7dkvGylCsomq5KzQFdXc2MM0+IKiiYJzWHWL00oTFfZH8xCwpK/3JzFfdIw/7l5ZVOU+XRsaIrq6auuqqUzJeUfBzvRqwDPLYum5ZW6T7ylwGAOnXE28nr8n4uZK9sykrplVGnPh0/Lf9PKB1/ur6+eHBdXCxfGs/+lbU9PQXyhBBCCCGkAlEwT2o3ocfjqgTzYsGwkMoM5vnBtew22MfdstP462Df6+l9bKDHD+b5jd1kq9nzVUUwX96GamKPwSnoJoQQoiL2UiI0VryqJfOFhfLLsqXesmpqybzYc3ZCiGZRME8+TWL13thAXjYoln3NV1uCeTZ4FwrmZXu0qYmEgnkK5Akh5JOm6Lm+7DR++vJUsxcLpqtTMC90GyF2a6Somr2y2xGx/FR39KCCVBcUzBNSnfGvevwrqex89jUboMtePdkgnb36aGmVNjmQLZlXFMxXZjV7VRvS6eqqXs2ev/8sXd3SavRUak8IIbWaKkE7O12otZ5sQK5qyXxhofglWWwaX3UJ5hVNU1QyL1TGINubPduaTVu74keK1RRl5TjqtpkXSy/bCpAQWRTME1KVlF2VZYN5oast/05Atg6cWDBfVKReNXvZknlNBPPq9CgjtA1dXfXuasTuXoTu5lhi8+jKSgghtYZQ4K6pknmxYFeVabKvhd6XhSrrKG8wz/4XKs2X7QBPtisc2Wn8/9WFsmBeaL6yYJ5uLUhZUDBPyKdO7KosNE9s+aoI5oXmKZsulk7dYJ6Prr6EEEIUUBS4s8GuUGm97Gtl89TNjyppylMyD4iXzBcUyPdhq+4zer7qFuwTUlkomCekKmmyZJ59BC5SMq/1+vXHq11ODrQ+fCidz/bcD0j3Zq9qNXv+e7ESeyGaKJlXVM2enSfwnjE1Fc8XIYSQT5qmSuZlL92fSjCvaD1ipdaEkLKhYJ7UfGIN4fivFfVmz/8vduWVfc2nrK6VIpoK5jX9SFqd/a8qyu4IVLkDYtdRnpJ5qhtHCCGESFFU9Z4texAaXVZZNXux2x11p5d1HapU+OPPY/ebvZUoz4i3hAihYJ6QT43swwGGEZ7HvufPq07KE8wTQgj5ZCkaqbY8bebZLmj4l1K2fTg7HZAuha9pJfOyXejI3jLIrlus315Fz9drAmW3H0LzZcuZhOYBVD5A1EPBPPm0KBsrpqaWzCvLv6J0ioJ5QgghhFQJscu+0Gt116tqGnWr2St7jq4omCeEqI+CeVL7sePMsH/se7GAl32Uzp8n+5qvPMG80LjxsssL5Ut2Ptu+XVFv9mydNn5RgewVtbDwY3AvFOSL7V9VtJlXZTti9eH4x5GdJvtYnP9onH3P/+MTqjNHj9YJIeSTI/QMXtnzdVWm8dcv9FrdPKqapiKDednRY2tSWUJFlsyLpaPbCiKEgnlSeylqK6/oqvkplMwXFX28QvCDdob5mE5L6+N0La3SQJ//nr8sPy2rGneAx3X6x3bqJ3tXwa6TP8iromCeJTuPDfJpeDtCCPkkVUYwr24AXJ5gvrzV7NlpbHkCe2lm162srbxuNYlcyhLMs9NUDeYJUUU1+UoQQspNWTDPBur8/4B8MM9/r4yitBX9eJ2/nzQmDSGEfNKUBUdi7eI12WZe6Pl7edrMazKYL2vAX5HBPBu8KyqzEMoXXfIJ+ajcwfyWLVvw22+/AQD2798PFxcXuTTZ2dlYt24dwsPDkZGRAXNzcwwYMAAzZ86EsbGx4HqPHTuGnTt34uHDh9DT04OLiwtmzZoFJyen8maZ1AZCdZDY/2xVevaPX8WerV6v6KrJzufPk33NV56S+bJWs5fNs7a29P7JXnH5+8swH48RIH9HIpRn2ZJ3VUrmtbSEpwutk30t+5+lrGReaNg8dUrm+fOESvsVlcyzr6l7WkIIqbXKGsxXl5J5VW5nhNIr256qwTw7XVe39LKZlyccyMs+oxe69AsF82Xpib4861BUlsDuBz+vsv9lbyn09anCHimbcgXzjx49wtq1a2FoaIicnBzBNDk5OZg0aRISEhLQtWtXDBkyBPfu3cOOHTtw9epV7NmzB4aGhlLLBAYGYvXq1bCyssK4ceOQk5ODsLAwjB8/HkFBQfDw8ChPtkltpmwoOlWurkLzZF/zlSeYV2W+OncEykrmgY+l77Il8wxTGkRXx2CeX/1f2bgwqowhw3+Iwr5W1N6/uJiCdUIIIWrjX5KFSuGromS+KoJ5fkU+2ZJ5Za3yCCHiyhzMFxcX47vvvkObNm1gY2ODo0ePCqbbunUrEhIS4Ofnh2+//ZabvnbtWqxfvx5bt27FrFmzuOlJSUlYt24dbGxscPDgQZiYmAAAvL294eXlhUWLFuHkyZPQrS6NZkjlUdY7CL9zO7GSefZqWZ1L5oWuksqCeaEO8BSVzMsG9+x/TVazV5eiwJ8QQgj5hMhe9vnTZV9X52Be9laDTcPeiihbnhCiWJmfg23ZsgX37t3Dzz//DB2ReiEMwyAkJASGhoaYMWOG1LyvvvoK9evXx8GDB8HwAoLQ0FAUFRVh+vTpXCAPAK1bt8bw4cORnJyMK1eulDXbhBBCCCGEkGpCqNxC2R9bflFT/2RbgKr6J9bXA/l0lal4+8GDBwgICMD06dPRunVr0XRJSUl4+fIlunXrJleV3sDAAB06dMCZM2fw9OlT2NjYAACio6MBAF27dpVbX/fu3bFv3z7ExMSgW7duZck6qU34v27se0Ul84WF8iXzYtXU2XXyS86re8l8QUFpIzSxx+j83uvZntr5acpSzb4qiDUxEEtHCCGEKFCWDvDELjtif/xlhKbJVhgUK5kXui2pypJ52emyFfz4txjs+7y80v3Q0iqdzh85l72lUTTITXVoM6/uOvn7xL8lo3bypLzUDuaLioowf/582NnZYdq0aQrTPn36FAC4QF1WixYtuHRsmqSkJBgaGsLc3Fw0fVJSkrrZJkS6Gjq/o7iqDuaV1aFTdmfAvmYfWIi1h8/P//i6pOTjUHOyg5jyt89eeZQF8+q2mZedx74XazMvNI/dD7HGdkL7QQghhJSBsmBeqJyAX4IMqNdmXiyYZ29PlD3PlqXK7Yzs/gDCrelkp8m21lO0Hnak2+Ji6cs5/7IvdFmXDfBVDarFRrwtL2W3fkKfndCtm6L+nMVK3+kBAOFTO5gPDAzE/fv3ceDAAejp6SlM+/79ewAQ7bGenc6mA0p7vjczM1OYPjs7W3Sb9evXh3YF3LibmppqfJ1ETewVDPhY4p6bq1rJvJ5e6S85W/LMBq1iwTz7S1kRwTx/mmzwLDtfnWCefcTNX55/hWW/r/9/tW3Avpfttb0swbzQvIoK5oV6s69TRz7Pst3I6ut/fF+37sc0deqI92avr/+xi1n2v2xv9sbG0un4vduzneYJdZ7HppP9T8qFfqtJbVPTz+nKqgqsbGg6/mVCtqqy7O1FnTrywRV7yeR30yO7PdlyArakWlEwz78ECN2OyFbgYy+F6gbz/EtMWUvmxZaXLZnnYy+t/GC+9DbLFFpapfliL7vsZZPfKR67bv5luazBvCZL5tmuu4SWYW9PxG5DdHVLb0P4txZGRtK3G0BpGmNj6XNEaEAdun2oHqrqt1qtYP7evXsIDAzElClT4ODgUFF5Kpe3b99qfJ2mpqbIzMzU+HqJmsoTzOfmltbrYquhV2XJPH+aJkvm2WYEQo/IGQZavJL5Bnp6yGL3URMl80LzyhLMi61fKNBnr8xaWh9rHfDzLHsVrVOHe8+wV0pd3dLjJhbMyw5/J3QlzcurmmCert5y6Lea1Da14ZyuLsF8bq70e0XBfG6ufDDPLi9bos5OEyuZz8lRHMzzb2FUCebFSuaVBehCz/kVka3gJzRPKK3YPJaWFqCra4qCgkwumGer3PPLXmSDefZSXFhYc4N5Nu/srQf/1qKwUD6Yz8srnU7BfPVXUb/VqjwgUCuY/+6779C8eXPMnDlTpfRsB3ZiJensdH5Hd8bGxlIl9ULpxUr6ySdEqAcQdYakUxQYiz3urohgXlE9LKG7AqH8sVdKdl9FgnkurWybeUXjzIsNPVcRwTz/iqhsWDs2b/xGeLKUPSRh/8t+BqoUWRBCCKnRxDoSE7u9kL0tELqUK6tmzy8n0EQwryiIlqVuMK8obXmDebG8s7cqHz5occ/q2Xnsex2dmhvM80vm+a+1tYHs7I+v2VogikrmLS3lPxgK6j9NapfMA4CTk5Pg/LFjxwIA1q9fj379+ilt4862qWfTAaXt6+Pj45GRkSHXbl5ZG3xCBAN5dkg6fpt5ZR3gyT5GZ+cLqaiSeUXBvNBVUHYeO5+fjv/Hbkc2vdDylUHdbVVGMC97ftCVkhBCSDWi6qiy6gT+QsspmlaWYL6kRPy5vWy5BCDdUlJoObHLs1BlPTGV0QGe0MMFdnRh2fXp65ceC7r1IIqoFcyPHj1acPq1a9eQlJSEPn36wMzMDE2bNgVQGnQ3btwYcXFxyMnJkerRPj8/H9euXUPjxo2lgvmOHTsiPj4eUVFRGDFihNR2Lly4wKUhhKhJKKBnp8um4b+vzPypm17TwTx1lEcIIUQJoWfAqlYAZP8rqnqvqGSePzCNsku6bJ75y8kSW66swTy/czt+OnY6vzd7fj8AbBmMUNDMVuITCub5tSuEWu0VFX0sTRejTjCv6LaB//nJdsAn2w8Am4Z9zc8jv9WoLOoNn7DUCub/+9//Ck6fP38+kpKS8NVXX8HFxYWbrqWlBS8vL6xfvx7r16/Ht99+y83btGkT3r59ixkzZkCL960bOXIktm3bho0bN6Jv375cFfzExEQcOXIE1tbW8PT0VCfbpCZS9MvFvla1mr06V9nqVM1eWam8MrJXd1Wu/EL5ASqnmr2y+Yo6xxOrPyj72Jt9LzsOjqol84QQQmo0sVsFsfnsNGUVutQN5pVNE9oOoPiyzp8vS1nJvDrBfGVQ9MBAlfRC8zV5GVd266fK7Z3QNP48RePJ0xjzhFWmcebV4efnh7Nnz2Lr1q1ISEiAg4MD7t27h8jISLRt2xZ+fn5S6W1tbeHv7481a9Zg2LBhGDhwIHJychAWFoaioiIsXboUusoerRFCyqamlswLLVsR1ezFrqh0VSWEEKJh/EuQbEW0qiyZF0ujasm8bDV79k9RkwH+NpR1qUPIp6TCo2JDQ0Ps3r0bAQEBOHXqFKKjo9GoUSP4+PjA399fquo9a/r06WjatCl27tyJvXv3Qk9PD66urpg1axbat29f0VkmpGYQuoILvZedp+zKL1tSD6h35SxryTx/u4pK5mXrtMmWzPOX49/9CJXMs6/Z9Spq3Mb+lw3qCwpK67kJdaUs1skgQHXjCCGkGlJUMs+v+i7Umz07YA7/Ly9PuAM82WliHeDxq9Wzy7Lvq1swz3/ND9D52OnFxdJV5vmXeTbQl6Wt/TH/FNATUkqLYaqqAk3FqKhhAWr60DA1jlAQxB87pqBAeGg69o9/Jc7PL51WnYemEyoZlu0AT7aOmOwVvLhY8dB0OTncNKmh6WQDYaHAuKKCeX5asd7sZdPKBtyl49zIb5+dx07jD03XsOHHbmT548zzu5Zlu57lD00nNMCtsXFpl7PsoLGqDk3HTqOh6TSGfqtJbVMbzunqNjQdv29coaHp2FsLfjBfWCh926BOMM8fmk6dYJ695Nf0YF4WOzRdYWEmtLVLL2VsWran+rw8Lbll+c/YlfVmL9SKj92WIlXZmz17K8L+AaXT6teXvl2Q7c2evfVg55OqUWOGpiOEVDCxhwtCdc9kr+Kybeplr+789Yi1BZcN5vnTVaUsmBd6DK9sXHllDwbESub5V1lNVLMXOjaKGrURQgghRGPEquLXxjbz7MMc2dsLCtoJHwXzpOarDR3gCf3Cs6XssgE7S1E1emXzxR7ji13tKiKYl32crWolIbH9E0on1GSA/7o8wTz1fE8IIYSIUlTar6yMQmwZ2dfKtiW0vBh1gn1NBfOElBcF86TmERpHHpCuds/7JdV68aLqqtkrq8vGLy1n5/Grzcte2RQF80qq2RNCCCGk6ikqmQUUP3cXq3BXHavZC+F3gMemlR1urrhYvvsbfss6oSrz/DwIVbNXJZgXy7NQ5T92WnmHpmP/Cw2wo639sXmIUGs9QgAK5gkhVU2shoAmqtnzp2mqAzzZeWwHeDo60ldbZR3gUad4hBBCCCGkHCiYJ4SUn7q93/ADdX7gLpuOn768wTy/GKAswTz72Jyq1xNCCIF4Kz1Frfn46WWnKWs5J/tfnQ7wFFVRV2U5RcpT+U+sRaBQmoquZq+OimgzT0hZUDBPaj7ZNvOqXFU12WZe0dVB2RVTnXbuQssSQgghnzihTsJke7NX1r2ObFr+dHVvH5QF82/eaHGv+fmSvfyXlAj3Zs8+B6+O1exZip6/6+kBBQVaXJV52d7shdZf3YJ5odaPLFWDeSobIJpAwTypfsSqJ8u2k+f/AaX/Cwvlh3QrKpJOW1IiP34MIP2+sPDjNFZZrnSaajMvtKzsa9n9UfQQQEdHOp2q+yOmPMuo265f1T4BhI4dDUxLCCGEEEJqCQrmSc3HD/zLUiovFMyrUxJeGSXzYssKrYeCVkIIIaTWEqpiX5Oq2Ssqa1D3ub6qeaioknkhqpbMq1I5VFHtEUIACuYJIYQQQsgnQKyKvVglQFWq0SubL1TNXiiYVbWVnVgaZZXdylrNXhXqrI/fmz2/2xx+r/NCZHuzl62izn/Pf62J3uzFesdXtIxsXpT1q8vvyodVVFT6R4E7UYSCeVLziF2F+SXz/Kr27K8h+yc7X/ZqzFZZZ6exKqOaPb9WQFmr2Surhq7sMX51qGZPNQsIIYQQlSkL5staMq/OttVJr0rrOLF5mi5lJ6Qmo2CekNpIUcBelmBelfprssrTm71sGk31Zi87QKxQXTjZ14rSAlTfjRBCCFGRUAtCllg/w3yqlJ6rMr2s6xC6XVGUnl8Cr/v/UZfQrQQhZUXBPKlZFNWPK2t7eX6wpiwIFlKeknmh7QnVoRNblhBCCCEaxa/oB9SOavYVWTJPCKk6FMyTmosN5Nme54Wq0/Or2fN7s2f/i109+Q8IWNW5mr1s/vnvleXxUyF7nNn/5S2ZV6WHGqGS+6oszdfRqbptE0IIIYQQjaBgntQsQqXybHAlFszLDmPHBvhiwW9NDeb5+yD0WlE6TVNlncqKEVRZTtGyQsdO08E8DRJLCCFEgKZK5vnLyK6Dfwshm072sliRHeCpS1EexFrtEUKE0Z0oIYQQQgghhBBSw1DJPCEVTazhGvtak23mNVEyT1XyCSGE1HBiw82pMjSdOm3ilc2vjDbznwpF7f7VuT3SZF7E5vFrS7DEzhdl04TOUUJYFMwTQqqeOlfZ6lTNnp2uapt5aqtOCCGElJtYMwJZVd2bPf+2gz+WPH/ceWXjzBcWlt4+sH9AaatRQD6wp9uMTw8F84RUJrEAsywl80JXLn6be0XBLj8oraqS+U+pOIEQQkitUR1L5pV1Q6OoVFsofUXi513Z6LOA/Ei1/GnKaGLIOiGqlMyLPXBQt2Re7EEFIQAF86Q2UOdqyv6JXSnFro6yr/lU+UVX9l5T1eyrE2X5U/RYvSLGmeevg/8IvKio9D/7eJz/WpX37LrYx+TsY3Ghx+NC0/T1hfdL0TKEEFJDyFZaqsht8LfD/iSz83NzpdMVFEi/5i/H9pXL71+XP62g4GM/u4D0dPY1O59Ny8+T7HN39r8mgnlSfarZazKYV2ewHIBuHT4lFMyT2uVTD+bF1lXdlCdvqtQ8EJpf1cG87HtlV+KKRld6QkgtwQ/M+dNYssG7omBedkAcoWn894B8AM9/zaZl18OmZy9P/HXIXt6EKtFRKW3ZahbU1mCeEArmSc0lOzRdWQP56h7ME0IIIaTcZDu9YwN6NsgGKjaYFwrcyxPMK3qmLfaebisIqV1oaDpCCCGEEEIIIaSGoZJ5QkjlKm/xQFmq2QulF6rTBsi/VtYTDb8OXHExVV8nhBBSaTRVMl+ZJfZiFQ/5tRP4tLSkW8sJdaPDLic7T50O8CqiN3t+9z/8yqTKerPX1ha/TaEq9oSPgnlCSO2kLJgHNBvM8wN6QHkPNZXdZp4eMhBCKoiinzGh9r2a/tlTtc28bDv5wsKPVeFZFVHNns0XtaIjhGgaBfOk+lAWBAk1duN3E8teXcWuuuw0tlRWUZt5/hWaVRFt5vn5kJ1PV3tCCCE1mFAv8+x0/v/yUhbMFxSU9mbPT8e/LZAN5jXRmz3/Ga/sLYVs+3j2vypd+Ch7Rs2fRwip/SiYJ4SQ8qgpJfPVAdUOIITIUFaqrwpVgnnZIecUBfOaKJkX652c/S9UUUxR/7iEECKEgnlCSMVRVmuhPOvk3+Xwa1DwG6iJKS7+2AiPvbtjG67xX7Pr5jdk48/X1ZVu8MYnNDSdomBWbL7YMsrWpwgF1YQQQqqZ8twy1ISh6WRb+BGiCdSbPSGEEEIIIYQQUsNQyTwhhBBCCPmkKBrQRKh6vLLq82J/Yu3eFU3jv1fUFr4s48wTQmoXCubJp03VHmdkX8uuQ5X1K3pflg7wlA3Hpmh5aohHCCGkBhLrgkS2zbxQ/7nKgnKgegXznwJV97M2VrNXdA6x0whRhoJ5QkjVUFRswB8oVtGgsgwjPugr2yZeaP38NvPs2ERlaTPPv9LyB4Xlb4f9z7Zx57dX19FRrwM8autOCCGVQhPBvKIe6Su7ZJ4QUjtRME+qL6HH7EJ/qlxtha6sYqXi1aVknlQe2WIZ/muh80t2Pr8rY5a2TJckYsG87HxZ6qYXI7aeqlad8kIIIYQQUoNQME9qttoczFNgrxplzQmE0ol95uy5xJa8swG52Hv+66Ii6QC+ooJ5TQS/YrUBKLAmhAhQVoFIbL4q48yrOzRdda5mTwghlY2CeVK7lCWQr6nBvNC8T+EBgNBnInYsZP1/FXytDx9KX7PDy7Hz2Gnsax2dj+/19Uv/+MPR6ep+nF6njvT62LSA9DJskM9OY9Pw5/HxA2x9/Y/v1QnsZdPWrQvo6ICxtFRteULIJ626B/OqjDOvaKx4oXHm+ePIqzPOPPte0S1FRVSzJ4R8miiYJ4RUDU3cgSgK5gH5ohLZdvj8NGLt9Nl2+eydoaI28/xpsoG5bDAvm0YsmJfdh7IG8/r6H9/z76TLi0rzCSGVRCz4V6VkXlnFPVZ5SubZ94rKDPjzxabJroOPgndCCJ9awfy7d++wdu1a3Lp1CykpKXj79i1MTU1ha2uLiRMnYsCAAdCS6YwqOzsb69atQ3h4ODIyMmBubo4BAwZg5syZMDY2FtzOsWPHsHPnTjx8+BB6enpwcXHBrFmz4OTkVPY9JbUP/+oMlL2KfXUtmSeEEEIqkKrP86pLybxYwK6sZF62tF3dkvmCgtI/ZSXzQsG87G0K+1/2NoM/jb8O2ee5su/LcmtCCKk9BIqBxGVmZuLQoUOoW7cu+vbtiylTpqBHjx54+PAhZs2ahcWLF0ulz8nJwaRJk7Bjxw7Y2trCx8cHdnZ22LFjByZNmoScnBy5bQQGBmLevHl4/fo1xo0bh3/84x+Ii4vD+PHjcfXq1fLtLSGk5lL0MKay/lTpl6Ei/gghhJBPWFVf/iv6doKQslKrZL5Zs2aIiYmBrq70YtnZ2Rg7diwOHDiAyZMno3Xr1gCArVu3IiEhAX5+fvj222+59GvXrsX69euxdetWzJo1i5uelJSEdevWwcbGBgcPHoSJiQkAwNvbG15eXli0aBFOnjwpt31Siwj1Vs+fxz4eZ//Yx+OA9ON0/uN3Ni27Pob5+F/28Tj7x25X6PG5rPKUzPMf48uuT1kpvdA82WmK8lxTHturcgxU2RehfeYXe4hVs+f/seeaKh3g8Yt6+OlUqWYvVN0e/9feuUdLUtX3/lvVfc7MnByEQSBZjsKw1gAXjagIgjLGG0PEBB2VOF5jJBCdFUQGrt6lWdd7yUqMGrPiMhAGVAwauaiQQCaLa5DIMq6Ehw7DM168g4/EGWDgAkEY53BmTndX1f2j6tf1q91716NPdZ9+fD9r9VTVrl27qs9UV+3v/j02lucWbzNn5bVH93lCSEVclvQ6LPN5rvQ2y3yetX0QMfP6deKyzNte765Xvm6DxOT9LWyvctm2YSsvU9c1G25Rfc+Lr1G25R7Ky6Gr7zkt+PW9zny2pJIqbjjujPn5eWzcuBE/+clPsGfPHhx33HGIogg33ngj5ubmcNFFF2XqX3DBBfjqV7+Km266CRdffHHXNX/79u3odDq48MILu0IeAI477ji87W1vww033IAdO3Zg48aNVb8nGUfMp5Up5NvtcmLefBpqEe8S83m+cCbLEfO2tvnmni6qDMkvZ/i+qpgfddhTIWTFMR8lVcS8a5+tfX2Mdp+X/QcP9goeU6DL+L8e53eJeb0PsLvZi00A6LUD6Fe9TczbuhZlxfwkdhHq/k66vVEV82IfkDy4ZXI1CHlinq/G6aOSm72LpaUl7NixA57nYcOGDQBiK/tTTz2Fk08+GXNzc5n6q1atwimnnIInn3wSe/bs6Zbv3LkTAHDGGWf0nOP1r389AOCee+6p45IJIaNMFd+0YX/MQaNBfuhyTwghhBBCHPTlr/7zn/8c1157LcIwxDPPPIPbb78dTzzxBLZu3Yr169cDQFeky7bJMccc060ndXbv3o25uTkceeSRzvq7d+/OvbZDDz0UvstFdRmsXbu29jaJgTlUL35zsq/VAmZm0iHyKAIWFmILPRDvk6zjWgitWZMdCo2idOmyzMs9tNKW+eW62edwmM5uvlK4hsHNfa6hb/l/0kPRruN8P62np6Gzlemp6fR6lanpVq8uNzWda+56XSbXKOeS79xvNvtkajqYzzVzTvuybZfFVrdfM4LjOD6ryaQxyHu6bGI7bQ237c+zzOtXuS6v0zLv+8UJ8BqNbNdAb5uWebGayvipPG5tDn9Aui7dkaKIutnZ3te/7m7oNswubVmHqlG34M/OHpbZ1t00E1cUXJnjZduMcluuZV7ash0js9pKd0LqNZtpN0O6DdKtmJtL16V7sHo18Au/EC/n5tL7cHY2fX2vXZud5EZe9aPQxZs2Vqr/0beYv/LKK7vbMzMz+IM/+AO8733v65bt378fAJwZ66Vc6gFx7P3hhx+eW39hYSH32vbt21fiG1Rj7dq1ePbZZ2tvlxiUEfMLC6mYf+652Lfu+efjOq0WsLjYI+a955+P37Dilh9F6XKlY+ZXSMwfNjuL51y9s1EhT+jL/ipiXgS5rPcj5lut3v1VxbytDLCLebOOvOWlTr9ifn4+nmd+zZreerb1orbLMmAxz2c1mTQGfU9PiphfXKzXzf7gwWI3ezPu3eVm3273ivlWyyst5s30K5Mg5mdnD0Or9VymrEjM6/V+xXwZG4GNQYj5dhtYWkoFfLvdK+aXluL/x6Wl+KO7EWvWRN0BJi3m5bVOMT9cBvWsLjNA0JeYf/GLX4wf/vCHCIIATzzxBL75zW/isssuwwMPPIDLL7+cCeoIIaOJLfgwLyCxKIAxzw3elQDPVeZKgOeaf96c5z4Ps/fXaqWDExpt9SeEjCVVUmHkTSmnl1XEvC1vbZ7IryrmxfoNpI/A5cTMF9WV7y9i3kx0J0tbAjy5RlvMvDDKonuS0PHqwGjEzOuBJFcCPP3R3QH9GtdiPm/MnK/2yWRZqrvRaODFL34xfv/3fx++7+Mzn/kM/vZv/xbvec97ugnsXJZ0KdeJ7ubn5zOWelt9l6WfEDJl2NIBlznG1YatTpGYN2P4gV6/S11m7i/CrJMXNz+A8CJCCCGEEDK61GZC37hxIz7zmc9g586deM973lMY4y4x9VIPiOPrH3jgATz99NM9cfNFMfiEEJKLS7hrcaxzKpgBevoYKdPt6TwLwqDd7F3T3JnIEL+m0QAOHOitO6yhe5oICCEDxpUV3DUGa6ury8wxXVuUnt62reulrQ1dPi3Z7KsyCn+DvGswuxWytFnmi+5Lm+NfGOaHttjKRx12CfqnNlPOk08+CSCdvm79+vU46qijcP/992NxcTFTd2lpCffeey+OOuqojJg/9dRTAQB33XVXT/t33HFHpg6ZAmxzzutPlQzkednRR+1DCCGEkAz61T/MSUXyJhcZ9IddAkJIEZXE/K5du6xu8M899xwuu+wyAMCv/MqvAAA8z8PmzZuxuLiIq666KlP/6quvxr59+7B58+buHPMAcM4556DZbOLzn/985jw//vGPcfPNN+Poo4/G6aefXuWSCSHTQNUBk7p7XCvRs1xOD7MoUJUQQgghhIw8ldzst2/fjptuugmnnXYaXvSiF2HNmjV4/PHH8c///M9YXFzEWWedhbe+9a3d+lu2bMF3vvMdXHPNNdi1axde9rKX4eGHH8btt9+OE088EVu2bMm0f+yxx2Lr1q24/PLLsWnTJpx11llYXFzELbfcgk6ng0984hNMrkcIqRdXHL1OmWumz7Wt2xLemdt1J8BzHWOrq2m3e9NCA2n2HDP7fR70jSOEVKRqNntJfCdjp6Z7vDlVnC6TdXP8U7Zlvz5O15Xzayc/Ka87AZ5rnRBCXFRSxmeddRYWFhbw4IMP4p577sHBgwdx6KGH4tWvfjXe/va34+yzz85Y2ufm5nDdddfhyiuvxLe+9S3s3LkTRxxxBM4//3xs3boVc3NzPee48MILsW7dOlx77bW4/vrrMTMzg1e96lW45JJLcNJJJy3/GxNCiMbsMUkvq18x70p2J8LbVgbYhblZR/cKq4p5fV1ynMTMm6lw8wS6uW+5Fn4OBhBCCElY7iCGeXxRBntX3aI25Dy2Y7QjoNlV0Ol29LaMrctrXl7TrVacKqdqNntmsJ8eKon5U045BaecckqlExxyyCH42Mc+ho997GOlj9m0aRM2bdpU6TxkgrAN2RfFzAPLi5cH8stk3Ubem8eV0abMsaR+ijIJud68ZcS8aXoZxtR0/VrmpVcgvQd522trfJ5IZ++AEIJyU9PZrO/9WOZdCcJkaUsSVtQ9MNux1QXyuw3mfr1NCCGDhj7rhJDxpWigpezxZfbbkhTmJS/M6ymaZS7MOmZvldPREUJGAC26dfSOa575Vit2DBKRbmI6OpmpSczHqGueee1mX3WeeZ2ATgYditzs5XvqV4Icp+vrv0eRnYCDAoSQPCjmyWQyKZb5orYnmSrfbxLFPIU6IWQMqWKZNwW4kGd5H4Zlvqh7UMUyP+mvakLIykIxTwgZX2y9Jb1uBrOVCZ5brpu9Ltfmnqpu9rZ1TbNZzrovSBAeIYSUpGjO6uW42dsEuGAT63mW+ToT4OlrM5PYFVnmi8R80StLw8EAQkgZKOYJIYQQQiaIsnkpzQktzONlv6uelEsuzSBI12Xb5mbfbqeu7GXd7MUtfhBiXl+f6dinywBa5gkhowXFPCGE2MhzqddlYei2zAtmGlrBLDOt8TqlLWD3G62Szd5sPy+bvUsNmNnudb2ixHi26e6YDZ+QWnBZx8sck9dW1XplLPM2V3dzv7ksco8nhJBphGKeEEIIIWRCGKaYNy33tgR4Mj+8xrSSm5ju73VY5m0J8GyDAjJGm2eZd7nZ51nvNVXc7EmWUfm7lEmXZNbJy8FQNMBFiAuKeULIdGJ709rqmPXLJsAze3M2U1MRZh2bZb4stiR8tkBWvU6rNyGEkCEwKiK9LMsR84TUCcU8IYSUYbliHqjuHzpMMU/hTshEY7Ou9+s+LxRZ5iU2vQ7LfN0J8FyP4zIT2xTFzBNCyLCgmJ80lht/upLo4Doz0M5Wbnsb2z42f6aitzUhNlxiXt+Htph52S7KcF8lm73tmLJ1JIZf95SlF65j4m0C34yZN/flbdPaT8jYYzrwmEtz3NAm2OuOmbe1VdQ9yMs4X4eYZ3eCEDIMKObJeDBsMV8lJW0ZX6u8bTI8zL+3rRdpTl+np6Ezy21taTGv7x05xixbyQR4YkLz/XiqO5eYzxPgVQYQi0yDFPqEEEL6YNjdqWHEzLsGvWT8HeArlFDMk1FlpS3zgxTzZPxxvZFtdVzr2vXexaDd7F29A2D5GbQIISPLcrLUT4Jl3vb6F/iaJoSMExTzZDSQiWjF1Vc+erJb/dEBcDq4Li8wTr/FzSWQfbPrHkCdYp5MJssR8xpbj9fcHmcxL3VpPiCkNsrGt+eJ8Cpt9iPmdXQRUH/MfBUx7xrLF+p2s2cXgPRLVcu863c6jUxTN4NinhAy/gyqt+Tq4ZlltmvoR8wLNrEt22XFfJ7bPSFkZHF1zovqj4KYdwnqPMu8KfSBesS8Wc/lqAcMX8zTE4AQUhcU84QQUgd1inkgvwfs2l/UnrnuMmMBg7XMm2XTNIROyIhiE+6SVuPAAbuYP3AgWy8M7dnsbZZ5mee9rJjPm2e+jJiXbRHd2otAH6ed9rSzntQpE31H6mUU/86DjJknpAoU84QQQgghE0Q/lnmXFV6i32zH2ET300+nyUHLinlTwOSJ+SAoZxk3o+REvGsxb0tdYhPz+m9SZNHX22YdsrLU+X8xSDHvyvUgVHGz51j55EMxTwghVRiGm70wDpZ5QshIkueub1redZlpmTfFvH5MmPPM92uZLyvmtSAHBifmzfbKWuYp5gkhw4ZinhBCisgbZp92MW/WoxmAkKnB5e6u9xfFzLv2m8u8WHdXzHqeJbTOmHl9LCGEDBOKeVKNQVnrbFPPuaamc/UCbOWujDdl3tauMhO+vUeX5f7f5PlQmmXmvjC0z1mvMcv0HPWyLv53LlzzzLvmr5dr00tZX6mYeRMOCBAyUKq62bviy6dJzBNCyChCMU8IIf1Q1NurwzJvGyAYlmW+bNtFYp7CnJDayBsPswlwXWc5MfPmo0cYRzFPSFVs903evZTnzGfu159BxMyvRMQcX/vDhWKeEDL+1NlD021pq7m8bYvKZF1b5n0/tbZrK3mRZd6so9/gnQ7QbKbtNY3HuWmZD8NsXd9Pg1v1fvno+mZbst1opJ8y0DJPSF/kdcynQcwXWdQp1sm4kOclUkXMy/YoivlBwa6BHYp5Qggpg62nKG9TLbhtrvK2bVcdW3vmcRrXfPJ5bvadTrwu2aXMcrO+OVCg0T0FvmkJGRkGJeZ1MjvXfPCCbNsS4Eniu7wEeFrMm9FzUi7LIsu8/g6yLfv1+cta+fX5yfRRt2Vej9XLa1h+J/LRr2fZbrWyr15ZLyobJFXG+Os63zRDMT/K9DOcNughuHGImSdkELjMPrbYeFnquHfZ1m/zIjFv1rH1KLXVXlOnZV63bYr9RgOYnY23854P0/62JYQQQipCy3z/TEu3g2KeEELKUjQUX2afNgXVYZl37TMFuF5WtcxrzP3tdrqv6M1Z1s2eGfIJGTouy7xt3Fxwudnr7X4s8zY3+5W0zNNWQAgZVSjmCSHEhc1HziW+tcu9LM11HTOvy2zt2WLmTSEt+2VbY7bb6WTLfB9YXEzXm82sdd4Vjy/79DllEADo9e1zffKs+XTdJ2TZmHPI621zfni9rjPXi9CWOeGlzNWOWTdPzEs9LaoFm5jXznn9iHn9vfLEPCGEjBMU84QQMihcbvlAOTFvrttw7XO1CyzfMq/XdRu+3yvEbQIemG7fP0IqYHOdNfeby+UkwCtKwFXVMp+XAK9MbLEsmeCOEEJ6oZgnhJA6GEQv09bDtWVhKnN+02dUL2Xd1ks31/OOKzJvmcqBVndCCCGEkL6hmCeEEBcraQaScw/KMu951RPgaau9bJuWeVviPRHuknZXp9Y1t4V+hL5pfiwLBxXIFFBkmbflktVu8lWy2ZdxsxfLfFk3e9OaL+WyrCtmXh9vWyeEkFGCYn7SqduVdaWz2dsy2bv8AW1+fK7Jasl0Mur//4OyzNt6sAwaJWTqKCPmB+Vmn/cqzhPr/Yp5TilHCJlEKOZHkeXMJ2EeM+linpBxoN+e47DF/LDd7GVJyzghhJAKjPKATJlBKtdHv1Jd88yL0xsw3VPTsesQQzFPCCGEEDKiDDIBnsvKPmjLfJGT3CAs84QQMolQzI8DVYbVps0yX8bNnpB+sfUAdZkZi+4qk+2iMvPYOqem03Wl7ODB9NhmM52Orihm3ratjxX0NHeA2zK/nOcWh+bJhOJ6FdrqmctpFPOEjBt51nnA3Z3V29NqmeerP4VinhBCxpFRc7PPGzxz9TpkuRwxn6dYNHzzkwnGNvZdVsxrl15bmZ4TXtcDys0zr+d3F6S8SgI8+Q55Yr5KAjzXcfp4W1uEEDJKUMwTQsggqKPnlxczb+5fCTFvm4eeEDKyiOjWWejLiPl+s9mbIlqQsipiXh9TRsyb5VWOM8so5EndFMXNA7TMF8Ex+hiKeUIIIYSQEcQVcZZXp9VKP7pOq9UrvkV4iwgHlm+Z73TcFnGhX8t83WKekEGwnAR4ZcX8M8948H1gaSkdV282gdnZeF0vbbO/DhI942xRPdt62fryHW3HNhrAi188HT/0SmL+ySefxK233orbb78d//7v/47/+I//wKGHHoqTTz4ZW7ZswSte8YqeYxYWFrBt2zbcdtttePrpp3HkkUfiTW96Ey6++GLMz89bz/ONb3wD1157LX7yk59gZmYGr3zlK3HJJZfg5S9/eX/fktQ3NDeOMfNFwXmELJdB3VOjbpkvm6Miz82eEDIwtMDX871XFfNVLPNanK+0ZZ4QQiadSmL+uuuuw1/91V/h6KOPxute9zq88IUvxJ49e/Dtb38b3/72t/HZz34Wv/mbv9mtv7i4iPe+973YtWsXzjjjDJx99tl4+OGH8ZWvfAV33303vv71r2Nubi5zji984Qu47LLL8KIXvQjvfve7sbi4iFtuuQW//du/jS996Us47bTT6vnmhBAyCOrsTQ5azGtRX0XME0JqoSihXd4Yt64vlncgtcofOJDWFeu6Kb7F4l6nZV4s7kCxZV7WhyXmKfoJIZNGJTF/0kkn4Wtf+xpOOeWUTPm9996L888/Hx//+Mdx5plnYjbxe7jmmmuwa9cubNmyBR/96Ee79a+44gpcddVVuOaaa3DJJZd0y3fv3o1t27Zh/fr1uOmmm3DIIYcAAM4991xs3rwZl156KW699VY0m1MWHVA2OVReIqlRt8y3WtkeidkTabezvRFZ176Esm72PGxWekLGhbwsTGHYmyFfyMuSL8fJb8TzeieyBXpj4vUkt4Lu2buy2ct6u52dV77RyPoC23zuXP564l/HBHhkSnElvNPbttegbJvlZlnefsHWnim2Xe7GZh1zv7m0Odj1K+YJIWRSqKSK3/SmN1nLTznlFJx22mm488478cMf/hAvf/nLEUURbrzxRszNzeGiiy7K1L/gggvw1a9+FTfddBMuvvhieEkHc/v27eh0Orjwwgu7Qh4AjjvuOLztbW/DDTfcgB07dmDjxo1Vv+d4YQuA05jbruOkTC/ruLZBYBPzS0u95oGDB3vXdUYf+ZimAUIIIYQMFIp5QggZLrWZuMVaLsvdu3fjqaeewsaNG3tc6VetWoVTTjkF//RP/4Q9e/Zg/fr1AICdO3cCAM4444ye9l//+tfjhhtuwD333DNZYt7lYyfiFsgX8zar1CSIeZtfn/gB2j66jssPj5BRx9Wj1duu+3k5bvayPuiYeb1/GlLtErICmClmgMFb5s3XcNmYeVlfrpu9MCgxz24EqZOixHeeF2+bXV3TOc7303LB5lg37gnw6FiXTy1i/vHHH8d3v/tdHHnkkTj++OMBAHv27AGArlA3OeaYY7r1pM7u3bsxNzeHI4880ll/9+7ddVzyeGLr/E6KmDf9Al29C9fHrFPGNEDIqJLXU51EMa9d7wkhlcnLFwsMz83eZjmv2zJPSBVW6p6xpbgxX5E62s3sukpU3MGDWYHu+3HdZjNelyUQr5u/Sb2/6myy/c4+6/vlXukSLQeUE/Om+C8aNJBn4qR3L5Yt5tvtNv7gD/4ArVYLH/nIR9BI/mL79+8HAGfGeimXekCc+f7www/Prb+wsJB7PYceeij8Acx9vHbt2trbBGAXx+Jmblrm9bZL2I+jmA8CYGam181eP+UajfRJJ7/edjterlqV1pH92qrfbGYTfckT1Xyy6qeo3EOmicHGSr4plsFh+ilK+sMVr+6qa6uf14bchzrmXZfpNs3nnhkz7/tpWbMZr8sbzvPislWr0t6C2UOQc/h++gaWY5rNdE4cW8y8tPULv5D+fmW+nPl5YM2a7FvZnEvH9sY2599JcD6r8+73SX/Tk74ZtONImQR4L3jBWuckL7LU6WNmZuJ13892GxqN3gR48moVxzcgK9zFIqhfxzpNhryG5CckTnVlLPNVE+DpHAD9WuZd441FcBChfmZnD1vpS+ih6ivddYy8cvVrF+h9lTYaWVFuHjczE79i5aNfwXKclEv75qtRv8qrvupc9YvaKWuZ70fM63Wz62AeI92BYb3iB6YVC1iWmA/DEP/jf/wP3HPPPXjXu96Ft7/97TVdVv/s27ev9jbXrl2LZ599tvZ2AeSLeTNNbFkxb3PDH3Ux325nexQuN3sdM7+wEC9lQKjTSePsVcy8t7QUr8s5gGIxb+tlTJCYP2x2Fs+5ci+Q8oyrmA9DwPMQzcyk+4Mg25PIE/PtdloeBKmYb7fzxXwUZctkUO7gwVrEfO6zmmKe9MEwxbxNpL/gBWvxH//xbG5We3ntHzgQbx84kKaV0a/Q5WSzN9sSFhd7hfniordsMa/H32XbJuar0q+YJ/UyO3sYWq3nVvoyehi0mJd7Xov5IEgH3szjJAWUdJNtYl5eq0CxmK/LMl/UjpkL14V0QYDyYl7PLb+0lC/m5+ejwrbrYlBascwAQd9iPooiXHrppfjf//t/Y9OmTfj4xz+e2S8J7FyWdCnXie7m5+czlnpbfZelnxBCSElGwc1e1m0Z6MsoqLwBzbz6JhTyhHQpinCTMl0/z61+UG72tJSTScP2e5DX8nJj5kdVzGvyXvtFbvbma3zaXut9ifkwDPE//+f/xPbt2/GWt7wFf/Znf9bj2l4U4y4x9VIPiOPrH3jgATz99NM9cfNFMfiEEDLS9OPZYQbPSVYcWdeWebMd0zIfRb1l8vbU2XakzTDMhpsAvW9oqaN7+mZwn63XocuLxPy0vZUJKYltKjqgOKWMbNvqVhXzReKdYp4QQgZLZTGvhfxv/uZv4s///M+7cfKa9evX46ijjsL999+PxcXFTEb7paUl3HvvvTjqqKMyYv7UU0/FAw88gLvuuqvHZf+OO+7o1plI8tzl63azX47f4CB81GTYsYybvTnPvC2bfV5vIq+Hwew6hBBCCCFkwJhdU5dl3haqkucpYxuwG1X6uTZTznC8H6jkBKGF/Jvf/GZ85jOfsQp5APA8D5s3b8bi4iKuuuqqzL6rr74a+/btw+bNm7tzzAPAOeecg2azic9//vMZd/sf//jHuPnmm3H00Ufj9NNPr3LJ44UrKK7uT95Q/Dh9+sX2BB3HDxk/VvqeMXsGeR/XNJBFn6q/42E998p8CFkmg7gtdRqdMp9+f7qD+rnzlUemkWG/sifhQ/qjkmX+qquuwvbt2zE3N4f169fj85//fE+dM888EyeeeCIAYMuWLfjOd76Da665Brt27cLLXvYyPPzww7j99ttx4oknYsuWLZljjz32WGzduhWXX345Nm3ahLPOOguLi4u45ZZb0Ol08IlPfKI7jz0pwLTIy69kub+YQfzaRDjYRIScr8w88zJQIU8+efubZewhkLpYifvHdc6ia9H7Zd0sM7fDsP+5aQghhJApxnwtm69eW3fUtm523fV2UTlF8uRTSRnv3bsXALC4uIgvfOEL1jrr1q3rivm5uTlcd911uPLKK/Gtb30LO3fuxBFHHIHzzz8fW7duzbjeCxdeeCHWrVuHa6+9Ftdffz1mZmbwqle9CpdccglOOumkqt+PEEKIDZt419thmI3RB3rj3YFsamtbJvu8mHnfT+fMMrPY2DLdFKFnASmLmUW/TH1CCCGEkBHAi6LJMk0OalqAgU9Np908pUMq88z0EzM/CZb5oqnpFhfTKeqA+Lt2OrH4CIKuCPEWFuL1djs7zClLjbbmy9JmxbQdM0ZwaroxwZz7pq6p6ZJl9Au/kN0/O5ttVz5mUjs9583q1dl55s1p7PTUdKtXZ9uQslWr3FPTyfpypqbT89nY9o2qmOfAwYpjS0GTR1GdvFyP5ms7COKp6R5/3D41ne4amLPZ9js1nenyapuaTl+zfq0CcZ2FBc9qWdRIhI2uozFfxaZ1cgxfu0QxDVPTma9oIH2ky+tYzzPfaPROTddoxNO3zcz0vj7luPn58Z2aTr9y846RcnNqujVrst0FQV7rxxwTdbcHzVhOTUcIIWSCyAs7sQ1yybJM4JvLH1CWZRSOSd6AZl79PGx1KKhJTdhuzyIxXybNg06FA9h/jrZtW92842xC2uUi7NomZFqw3fPm70ImjgF6hb+eWEYG47TglSg4KZcyEx0tN2pi3jzGjKS2tWF75U/7a5piflIwh+tdQTPjZJkvGzOvvQ/KxsxzeJ+MK/14iMg+05Rg9iL01HQ2y7wcJ7+5RiNuQyzznU6+ZV56FdrlXn7X+u2vTQlr1pS2zGNmJvXU0ZjD+eY+KdO9gn57B9PeqyBDY9hiPi/VRlUx74oR1vttS0ImDd0ttYl57ZSrBb68JvXrstns/Y2PsmVeS4o8Ma89EmxiftrH4SnmRxVz2N1c5g3h52XAGFUx3495gBBSHt1jdol56U24fARtfoXLjZm3zT2v29Ix9UW4YuZtsfjT9KYnfVPGScRV37avqmVeZ6k3rfJLS3E9bbkDUnd6M1JtOW72KnKtx8HGdLM3hb8rok2PqRe52RMyruTlni2bAM+W0sbl8Obq/o8CzKc7GCjmp5FJEPMuc0Hek9G1zwbNAGRcWI7pytWDLltPB7LmDba5eh2yNI/R23lu8xTkZEiUnb2wLjEvn5kZu5gX8Q1kndYAt3ObWUeWRWJeTxQj5xPKiHm9FMpa5gmZNiZZzJvkvfoFDgAUQzE/qgzbMl/21z4oMV/FzX4YYp4QQshEUkaUm3VXSszbPnlj3eZ2Xh1bXTq/EULIeEExP4qYQSBlstmbw/V5Yl67xQrjIubZ2yDTTJm4+OW0N4pu9mYQnTCsBHgaegJMBMsR8088kZ/uuqqYt2XL16/zNWuAZ57xMq9E+cixLjf7MtnsZQIYM62MIGVST8oEfbzss1nmbW72VWLmCRlHyuSC0CEn+pVrxsyb+8Nw/BLg5R3nqq+7AGFYPmZ+mpLjUcwTQsg0YOsV1+Fmr13tTWFfh5jXifJMzLd0lZh52zR0VVReP0xDr4LUhnRcq0ShmdtFlvk8xzXbfimz7Xdtm8foeua63k8ISbH97kzb1iS62bu+H5Av5qcJinlCCCGEEEIIGSAuy7wus+3XH7HOy/rBg+OTzd4s08LcHLOXNsSzwPQ+kG1TyOvJafS+SR5Lp5gfZ1wTzY5jzHwV00PZmHlCSD4uc1kVN3vXM6Fuy3zRhLNANcu83hYr/bS8+UmXIouOLY69SnumS6h5e+ptndBOHF2iKO6sl3GzP3gwbdPmZt9u93YJJEt9GTd7Xaav2XSz15nvbccAxalryjoJEULItEMxTwghk8BKZbM3/f3yBgtNfzlZ5vnauQYLtBohZBnkpVnQKWtsYryoLV1fx6wLenuQYl677Mu2XG9VMW/b74qZ1/VMKMwJ6UV+i3lj6voj492CzQo/qpZ5W5od27ZrvF+2zRlnp20snmJ+3JGeg21+GcC+HOcEeLZ6RZZ5WurJuFJ03+r9npGYy9y27bNl3dHb2p/P1qZY8U1RD2TfvtpPzvaGNtdlG3Bb5m0+dlUS4OVN8G2rD0xfD4EQQshQcHmo6Ncq0Pt6NgfPJkXMS+K7MmP70w7F/CRgivhpEvNl3Owp5sm4U4fV3YYIVpto71fMm3U9rzdoTwt8wB4UZ77VXT0D/Uw6cABYWrLXk+9qJr6bnS0v5ofhBcABgxUhLxuyXq/ilg/0utFXtcw3Gr2vRL1f6tvmmdfu7nkReGUs87Z4XlnPS4BHyKRT5V7Pi5l31TcFvU3M512Lfp2Oiph3DTi4xH6RLUCes41G+rE9ryf19UoxTwghZPhUcbMv67qv/YhNbNN5ynKUxLwwqb2OEaPM1EZF9cxj9LLoVs6LPDGFe1Uxr8e6V1rMV4mLL9pHCCEkhWJ+lHD1GswhfplnPgiyFutJtMzrOuaHJgEyjdSZGaqsm70u10sgG3TrssyLBd/leg9Us8zrY0zLvDaFVjVHyJC+WZa3bWujSv1BMMUDAWXGW6rOU2zWK5pLHsg6lQnDtMzLuFaRmDd/ui7HtrJinhCycmgLvm28e9QoO7ipy2zbtig6/aye9Fcixfw4YfYqbAI3b/hdlnlWriIGJebzvoOrDnsPZJqp4/6vMwFekUlOZ+rJy3Av6Jh5vQ3Y59+Rddczyqw/apb5Se9tDIGy8w3XLebzOqArIeZ192DYYp6vZUIIGS4U8+NOGTFvbtvmmFlpMW+zzJvBhmEYl0kPRSyC2hQi+8zelau3UqeVk5AxwztwIFnxUsu5bOeVazHeaNgD2rT13vfjbYln11b/ZhOYmckeqy3xq1f3WuabzTjW3ffTLDkAsLAA7/nns+eVpdSzLZtNRIcfHj9LRFRLbL0W2bOzduu9xpwGL29aPNtx5vnz2ieEEELIVEMxP2mY4l2LZNk/LmLeNFmIL40Z4OcyMQh5pgeKdkJi8nxliyzztrAXLebFzd4cJDDLbG72ZrI82a/3CeY883ltmLTb5d3s+xHzLnFOlkXZyQyKjnFNbiDjXVLnwIFqrqHLtcxHUTzFnEw3p1/x5tR0eho9fbxuM88yr3/G+vvQMk+mhUHfv+bvpChEpUwOCte+ft3sqybJIysPxfxK43L1tLl+6mWRi32eZT6v51HEMNzsCSHDpaqniqsn4uqZ5LWvjynrOm9TJa66ep9ryefO1GAT7nli3hXdpnG9Us2x80G72dte+/2IeU0/bvaMoSeEkOFBMT9ulBXy4yzmbcJe90xoZSdkNFmumBdWQsyL549Qd8y861i6za8Yrjj4OsW83jdIMe967S9XzLsEvl6nmCekf4os8/JbdTm26WeMdnbTz5YquWBtqWvy6rj21zk1nZ5z3vbKD8Pp9iigmB9Xyor5qm72RWJ9UGLe1kvR7rI6Pl56CmbMvM31Xtp3uQKX6XGwV0JITBkfwWGJeUmcpzHVUl7PwUTaK5qYtkocvKbqQACT7RXisrKXPWbYYr6fY8u85l2CmhAyOeR5x9jqmQ5vo0iV56G5Ps3i3YRifpwwexPmdHTq4z3zTHyMJIwbdTFvTm9lWslEiNvEvHwfl5inqYAQO0W9AHNqOhtF09iZdV3H6HX9G5ZnmBkzL2X6t26LmTez57sws+oPyzKvmRCRPS6Mu5h3WcNdjmu2cWy+Hgnpj35+M/3GzNus7y7LvK0N26yyLvq1zBdZ2XWdqpZ5vd9WJn+DaX2FUsyPArYYeVfMvCnkHWI+M+HsqIt5m9Xc1gsy/QDZAyFk5XGZCGy9Bu0vqHsi5kCA7n202/WIebO+qZzkOLN3oM8r2e7zLPOuBHhBkGbDL0PZgYMJ7b2UTWQ3KMu8fHRSuSDIxqYLeYJ8kDHz2jJvs15VFfMuRxu+ZglZOfKc3Wz7bb/xKgzTkr8cy/woexwMG4p5Qgghdly9gWG42YuYz3tzl3Gz79cy7zqHnr6uipAum2pd1++HCRX3K4Ep/G3WdmBwlnmXmDetdS4xr8e+zevRx+aJed2GjSIPAELIYKlbzGsGLZiXK+bN51qRTRSYzFckxfwkkOeHZ1rmzc6ufqPrpYsyHfequCzzeW72QPmYeTNwKG9I03V9hEwzyxXz5pvW9BPUlni9X5B56nV7Ir71PPMzM/E8Xvo4+chc9Y555rvH5VnmxbqvBwdMsZ9nmdcDAWYd/THbcTGJvZKEolyEUu7qvOW1K9Z2ceRwWeZbrXRqOnmNHjzYv2VeppfT5FnmW634pyHXab4mzVefbJcR81Us84SQwVDGzb6oXD9/XJFuVdzsi6LlXNelr6PIZd52jLndj5ifVijmR4GybvZ5or3MR7chVB3CG5SYZ4+BEEKmFlNMm/lPXcfYPkXnKSvm2+3sXO4isM2OoytyrS4xv7SUegaYY976vC5ru1km27a6VV/xrnYJIb3Yfn/iiGZLIeNKR1MmVc0gxXxeShz9vTQ2Jzkt8JvNdLycVINifhyxxcfbPi7L/CiKebMXYvNP1JZ3XcZeBCErg+7Jm2/3MsnwpNy0vBdZ5qVX4HlZFVanZV72m70Nm2Xe5ZYv+2Znl+dmP8EW+CLy/mw2IW8bBHANFGgxbxPGnU56W5iWeV1/UGK+00kHFYrEvMtJrYplXpfrdgkho0Weg6n5W5bBAmB4Yt6WO1c/s1yRb2Vep7rMjI6T1zbd7MnwcJkUzF6JLF3J7qSHoLfFfKB984DRtcznmRRc5bToE7LyVHkm2PaV8TO0ncP2zNLPOtk2121Lm6+ezW+vii8fzQt94XodFtUtykpvHqPXbf/1Lqe2olvFVt9sV5N3rCnK86zofBUSMjqU7UoX1dNWe0FHptnG0M22TYt/EXWIeXP83byOvNdrWTEv0XDmcxqwv0cmUcQLFPPjShX3+jwBPCpi3uXzZ9Yp8htkL4cQQoZGv3n6XO3kiXnzXHVY5vUYuaAt4+ZYelXLvL4em2XeTA0jaEu7WOiLLPN5Y+K0zBMy+vTz+9PPgSInuGGJede2eR3mM90U6+J6b4sUtg2YTisU85NEnpCnmCeErDS236K8iV0+erb9up7GDCMSM4VtyN9EPJuKstmXdbO37QOqJcCzrdvaGBPyhH8/Yl7Hu/cj5s2INEGXmWJenN36FfNlLPNAKuYlkkSHAvQr5m2inQ5uhIwuVbvk4ybmba/wIhf8Mpb5aYNiftRwud0D2d6BDPGb67pMegO24XlhVMS8rRdi9nKKxDwhhLjQvQTX/nEQ83ki31Vmspz9QxpI6NcyX8bNvkyExSDc7F0RI651vtoImSzMrrYM2LmEb1ECPCD7ivG8XjE8Cm72sm37PmT5UMwTQgipRp7KqKpAilSLSwHZBiBl0M+FbQi/jELLKzNhrPzAqEvMiyXdTD8j1GmZb7ez5zZv0TKWee1mL/uqWubNYwblVs8BCEKqUfdvrqxtbhBQpK8MFPOTQp57/aS62RNCxoMisS5ZfoR+3ezNtOS2+X7MoGWhLsu8riepdeW5bKrRMXWXHzfMuPRhWuZdrzFd5loveo27LPl8VRIy2tT52xylmPm8Y2W/79slh80h1/Ucdu2fVijmR508n8Ciaenkl1G3m72r99EvLnOBy83evJYqvSVzm70dQupBP2OA4l6D2cNw9QKiqLctPTWdKaR1kLJNzEt9MZlKWzMz8bHLnZpOHyfT3umP1NVt2dzsgyCe0g6Il2Xd7OUY2U8AVOsMToKYJ4QQYdjPhKJu96DEvCyrzgQ77lDME0IIiVkJFWAT/0WZdKQ3oOfhAXrf4HnBhSaDsMzbsM21I1Z7U6jLckwnybW5xRfVXW42e5ubfVFnMM/NXrvkl3GzNwW3eT2mCM9zs3cNIJRxs9dLfUzV8XtCyMrgGuizjVHrfSZlLO1V6y/HMp/Xjn6l6+eqvDZtwp1QzE8GNit9Gct8P2/2UbLMm8eYx7uukb0XQqoxiN+MzeIuDErMu555UZS1yovABrLiOwzzxXzeIICgXe/z6hEA+XPOF2Wzlz+xnuRAXpdSXhQzb4p5WeaJcFlWeY3Z2lmumNfwtUfI5DMqHjr9WubNZ2M/lvlpfKVWFvM333wz7rvvPjz00EP40Y9+hHa7jU9/+tM455xzrPUXFhawbds23HbbbXj66adx5JFH4k1vehMuvvhizM/PW4/5xje+gWuvvRY/+clPMDMzg1e+8pW45JJL8PKXv7zq5ZI8RknMuzrYZp2ywp1inpB6KPNM0FQJznO1X0XMa0XTaGRVmc0ybwrvRmO4Yl5jtiMWerkuc2la6W1U8S00rPz9uCXmHaOFtdR11TcF+4EDaRuyT6/rbT11my0ZnSnmzanpzPnfXQnwZJknyAch5vnKImSyqfM3Pq5invRPZTH/l3/5l9i7dy/Wrl2Lo446Cnv37nXWXVxcxHvf+17s2rULZ5xxBs4++2w8/PDD+MpXvoK7774bX//61zE3N5c55gtf+AIuu+wyvOhFL8K73/1uLC4u4pZbbsFv//Zv40tf+hJOO+206t+SEELIaFL0Ng9D+8CAiHm9rx/LvKyLWbdOMW8zrZomBN2m6bIvrvcSP29zw18hXK7vtjp6u6yYd7nZm27rWsi7LOZlLDtlLPNyTJ4gF1zjz64ys51BWebZiSZkuliJ3/pKWub1mPi0UFnMf/KTn8QxxxyDdevW4Ytf/CI++9nPOutec8012LVrF7Zs2YKPfvSj3fIrrrgCV111Fa655hpccskl3fLdu3dj27ZtWL9+PW666SYccsghAIBzzz0XmzdvxqWXXopbb70VzSajA7qYvZEqbvZ6yH+lLfNl3ezN4+q6BkJIvdT1u6ziM2w+n/L2myZU2zPHxIypNwV4s9nbRp6Yd51HyssEjpsspxdT5dDAWAIrNge9dn0vY5nv181ejq8i5stY5vsR83pprhNCJoeqv+1R6BovV8xzirtqVFbFr3vd60rVi6IIN954I+bm5nDRRRdl9l1wwQX46le/iptuugkXX3wxvOR/bfv27eh0Orjwwgu7Qh4AjjvuOLztbW/DDTfcgB07dmDjxo1VL5tobK7sKy3my7rZm8e5roE9G0IGR95vr+pbuMyUc3nZdvQ+0zRrq+M6lyhEyXhvWuEBuyXelTCvHzd7m5XfTH5n+5gUWe+d+3PE+Bgl3rONl5S17LjKTat40WuwH8u8q655XFFHuIxlnhAynpTpppepN0jqsMybA5pAecv8tFnnB2bi3r17N5566ils3Lixx5V+1apVOOWUU/BP//RP2LNnD9avXw8A2LlzJwDgjDPO6Gnv9a9/PW644Qbcc889FPOEEDIIRrGnX4dlPu976fnsi4R/kZu9lOllHmXEvG6nrJjX09MNCtMyXyD2bdnmNWb8e17MvMwqaEtKZ1rh5ThdZouZ1/H9ut3FxbQMiM9dxTJflM3edJwz/2a+n4YRmB1g05I/Cp14QsjgyfuNu5y9gNHOZq/H3s26esbYMmJ+2hiYmN+zZw8AdIW6yTHHHNOtJ3V2796Nubk5HHnkkc76u3fvrv1axwbt9ye9D/PT6cS9Dek1mL0APVw1Tm72ruPqugZCyGgyDDd76QHYehvmc2iQYl6HkJk9lCpu9v2YJIZgeS+KmbdNMWeKedNNvoyYr8PN3oxOq8vNPk/M2yz5hBCicT0f+hW1dYj5KMrWkW2ZgKZofN2W5sY2C6wMwso+GcfWMml2Nn2njJGDWSUGJub3798PAM6M9VIu9YA48/3hhx+eW39hYSH3vIceeij8AcxLsHbt2trb7CZckt6KLFevBmZm4o82UXhemkrX8+L9poVG7mAxH4i7qO4t6AkbJ1XMF3XoCQ4bhvWOTB91u9nbBLbv28ujCIfNzLiPdWWzN5+tWqTnXZ9pQmg2U/Un4tz2kbpSR4t5ua5OJ1tH1lstq2W+K5JnZ9MeTVk3+6SdAA3gRS8q5brfM7bQaPR4BGhrt37F2TAt8/LfKK9BXUfa1eLeJeZljEaXyVcRsW46OGgxL68L+W9ttaqJeXOcp4qYl1f0zMxh1nEo0zJvWydkVJmdPWylL2FkqTopTF4byzmuXzGvX53ySpX9+jWsn7vyHJZ6jUZcT14tvg+sWpWuz84Ca9bEy9Wr47I1a+JX5dwcMD8PvOAFaR39GRQD0YolmLhMcvv27au9zbVr1+LZZ5+tvV2nmD9wAFhYiD9BABw8GNdfXIx7FM8/H6+3WvE+/Uks8570OKbVMk8xn8ths7N4zpw3ipA6GKaYNzhs1arsfW0T87q3AaS9B73er5j3fWBpKd3XaPQv5mdn7WJeejL6OACBPC6bTWCmvJgPAnQz5QdoIJpdMxJiXsawDxxIj9Ei29x2iXkZ386zzJtu9rotef3K8UtL3tDc7MMwFvJLS89VEvOEjDqzs4eh1XpupS9jZKGYT8W878fPYs9Lw6x8P156XuqMLOdoNuPnYacDPPtshIMHhyPmB6UVywwQDEzMSwI7lyVdynWiu/n5+Yyl3lbfZemfSPScO4A9ta3to33zTD+9vHW9dDEoMc+eCCHEhfl8WI6bvbmep6z6EfNyvJiDJd16VTEfhml9ebZrrwIzfj+U2H81EOryUvOVMA8ABAECJGJ+4UBvb6fRAGbtc9Lnef/XIeaXlnpj34cl5uW/Tsrke5QR80C9bvZ8RRJCCLExMDFfFOMuMfVSD4jj6x944AE8/fTTPXHzRTH4E43ZC8n76Al3x9Ey7zqP6zhCyPQxSDHv2lf2umxKzZWpRy9t667jCkLJAoe4dNYNEk0PIJKVnorGpinmc+rIepmYeVeSOyBfzJvCHign5sOwV8zr/zb9upTrrCLmq1jmbWNW+r9elxNCCCHAAMX8+vXrcdRRR+H+++/H4uJiJqP90tIS7r33Xhx11FEZMX/qqafigQcewF133YW3v/3tmfbuuOOObp2poqplXg/jm+W6DVkfFTFv68Wwx0IIWS6u59WgxLw8X02Lvs6wJpgJ8MwyW11T3AuJZT7ohAh88RRwXKefLmPhH6RivmVR8w2kZYmB3irmjeMCwzIfiGXejPNHb7SZuLdrIX7w4PLFvBynjzc9BkZJzIsThllOCCGEAO5X/bLxPA+bN2/G4uIirrrqqsy+q6++Gvv27cPmzZu7c8wDwDnnnINms4nPf/7zGXf7H//4x7j55ptx9NFH4/TTTx/UJRNCCBk2rrAgl1V7nD9FnlXaX9wl2icIWwZ7HV02rE/RLTjIDyGEELIcKlvmb7zxRtx3330AgB/96EfdMpkj/swzz8SZZ54JANiyZQu+853v4JprrsGuXbvwspe9DA8//DBuv/12nHjiidiyZUum7WOPPRZbt27F5Zdfjk2bNuGss87C4uIibrnlFnQ6HXziE59AszkwZ4Lxo2qPBMhf10sXw7TME0KmkzK/f1sdU/wWJddz1dHPwyox8/pZpufgMQcmgFi4m/PLN5vZuXUkZl6EvmQCknq2mHm/CfhJKnjfcu1JeRAC8P142WwjgK9i5k3LfCMtcyTAC9DoOS5oZeu1DMu8dm1vteM22sl4RnAwbaM7x3timW+HDcBv1GKZF+u5yzKv25JlFcu83ucS8f06ghBCCCGVlfF9992Hv//7v8+U3X///bj//vsBAOvWreuK+bm5OVx33XW48sor8a1vfQs7d+7EEUccgfPPPx9bt27NuN4LF154IdatW4drr70W119/PWZmZvCqV70Kl1xyCU466aR+viMhhJBpoMjcWeRmb1NlVcR82eP0NYSh3c1eY4p+swyIxbzvAwiTDwD0XkMs4kXMi5t9aHez16mG+4yZ1/VM0ZxZD+PDTYcE27pte0qcGQghpBQrOTiYZ59zhRa5QpB0OZ/vdrwomqyx4EFNC7AiU9Pt25dOPwek09EtLMTr5rR0kvY3COA9/3zWTKF/CaOYAG+YlvnJuuX7glPTkYGxnLl0lnmOnvvaZoW3TU1n1teCucrUeVpcm1PcSVtm2/qjp3fTU9LJfDpmWWZqurjtoDmLoGuZV/sSgtADmr5hmW8klnkf0Qt/CWjOJvuTv43f6Jm73m6Zn82UHTgItMKkfgi0Osi0GygretCJ25AymQinpSzzB22WeTSclnkgscx3gAjp/7NpZdepaYCsZd7MZr+46HXrmO2ZmDHzuty2bXs1zcxwCi8yeXBqunyG8Rotc+5hTk3XbLqnppNyPc/86tXxXPJ6nvn5+XSe+dWrgeOOi4Y2z/xETk1HCCFkCllpc0CZAUnbEqgm5k3rvHl+080+DIvFvDZdy4S5ppu9LrNY5gM/QOC3M9+jV8w3ExHfjLdnPQQIYzHfagEhesW8CFY/FeeZJRpdy3y3rAUESswHHSBS7YaduCze30CA1CW+pRLgiaBuHYzFezvxKojFvNvNHgA6yfi1viv02LbpTq//G11u9roNXWZiutmb53dtE0IIIWWhmCeEEEIAu9C3KS2XmDfrmO0WiXkZAJC6Wp2KO76ee94m5gEEfpCeAzYx34nFtT+TiPkotcyvWXBY5tdkreowRD0a3R6FlB3oNNAS8RsqS3xyyUEi5iO/EYtuKDGfOFhkxHw8zpAv5sNeob0cMV/VeY0QQpbLuD9nqrrZr6QnwiRAMU8IIYQMgpwQoiCM4pD2nk+EVuh11+FHQBgAnSBeb3rxR7Z9ac8D/AgHkmnmAHQT4PWK+SgR856yzPvY+/NZ4GAHaEaxdV5Ut98AZr1YOYtVPRHzUVcENxA14w0RxkudRuwSD8NqnrTRbsUu85Efoh2GCBB2xXvXzT4AwkjaAyKECKIQ8MJYbEOW6Xm0co8SMR+o/AF5Yj7yGrmWeVfeRRvMWE8IIWTQUMwTQgghGq32bFSxzOuM+BnLe9RjlQ/gpy7uOsAwTIKvPT/JVt+MM8cry3yrE6+3ALTC5NXutMyHaHWAlu8nYt5HgAjRQhtAC2j6sUUbqRdBtDorxEMtnpPtwA8Av5Er5rWbfasr5uN6ARqxmA+BRbHMB+iK804HiLxZBBEAiWLwGojCVL9ra7psx2K+F1uSvcgyCYH8N+qlxiXYKeQJIYQMGop5Qggh00FZs6oW3y7KxMxL+2YmICAW5qaLPRJxrsR84CXx6n4EeCHgh4CfmKs9v+vu3oqagOejhQ5a3Wvw4zqREvORB3Q8tEKg5QXxdthAgAhhp4HoYAAkXvzdv5YfIkA7EfOxLLaK+WYD8I2kdlowm272LaCDBiIfXTf7Tph+uu1rS7qXWOplXETEt/t/ihBCCJlYKOZHCT13j3zKzsMz7vPME0JIWfJMoaOcgC+TbA8WMZ8QOvZlLPyhaghqO1G8mfN62fXElB1EEYJIMsnHnvtRC0AYJVWS6/U9BH6UCPHYrb17tq6YB4JmkBHz7U4S357UCzqpEAeAdgC0ESDygHaUxMyHcfx8R2fLj9L1yBDxoSHmzf+Cfi3z0lb3z8aYeUIIISMIxTwhhBAyLDJqUCnEjJiPY+YDeAiQqFM/ibH3E5N51E6s7nF2uCAKEku9hyBKXu0uy7wfJvO6NxBEHgIfAHxEbSBqzgCBnwjkdJq9KBH48P1E6PuZrxPBR9SI3exlXCEKGoiiRrdeJC7wXpJYLwCA2Xg7agBoAGHsiSAJ+aOw0Y2H94P4T4OoAXgNeIiT50Fb5iMA5p9Yb8u5CSGEkAmAYp4QQgjpF9ccZUqcB9ACMklY53mpdR5IssnHSe1aoZ/E0Cdi3g8AL0jd9BsNoBGfS4R6K4qPid3ss2K+FfrdukHkIfBmulnmEXmI/BARfARLARD4cdx7pGLmPR9Bs5lY1b3MPlmGAAK/g6jRTBPWhR46Ufr9OoaYbwVACwEir4F2FMfML4XxYEAnEfOhiHzEbvqRF8RlSRuBL5Z5NWig55SPksEFcWCQ/xaKekIIIRMAxfyo43Kzl7l49KfIBd/W3ii42RNCiEEQ+cZ28dw1rdBHK1QirUzMe96+ssdr4e414mvXZcZ3ieupmHkkQhuxyM+KeT/OSq/d8hsR0BCBnrSHCPAiHEAbLTGNG2K+E3pA6MdthUAbzUTM+wi8Jg4uJZnc/RCd0E9d070QQVNc5KNEzCeDCUmVEH4srBtRV8y3wth9Pq4XewNIG/B6xXyEBsJoFkgS+ANAFKWWeXSAMBloEHEe+kFPzLz5VgqjBsIeMU/XeUIIIeMPxTwhhJDpY1AKTlKrZ+aZz1YJIh+Bno4OSfw6kGSjjxI3+yixzKu6iRCXQdlUzItlPuxJgNcJ/dg/PYyzx4XJZYZoIoo8hI0mIs9DZylA6IeIfK+bkC5uBwiCsCvSoyid6i0V8yEC30PU8Lv12qGPThRb8jtenNTOFPMdAJHXAaJ4eCCMgu60cPG5DMt8IykTy7ovf19tac+uR94soqS+LJFMQSffp7tulGf+D72GPdOe61aKANdwUETPAEIIITVAMU8IIWQysQh2m5W8hxKWeT1vedalPnZlz1rmPSNu3Vdu9lIGJeahYua9rJAXcd+IusfF542z5h+Al35tL1TiPxHzkdeNX+9EHsLQQ6fhIfCAditCUCDmwyQGPXWzj08WeUDghwiVZX4pjNC2inlpM20/TL5/ELWyce4i5r0GvA7ghUE3AR6QWuYDJY4z/+seECRfXa5Tyq0J7jzrbUMrPiGEkJGEYp4QQgjRWJRbYIi4bjw5kDG/Boi6lvX02CRrvHI/D7Q4hynmE8t8FCZiPiv84Ufp9G46/MADoigEZMDCi2JBH3qJoEci5psIIh9h6CEKvdjajSbCVoAo9BH5frwUC7fnI5zxumI+zFjmxeINdHyg42sx30QnanTFfCgWcD9x9Q+A7hR9SC+5K+Y9AFEQV0zqeyHgKcu8l1jmPU/nq9ehFg14XgBPWeThNWLLuM3y7gE2S7sn/0RASKs6IYSQEYFinhBCCOmDrkA3hHuxmE/c5zPW+1ggtxDhQAepRR1A6q+d1PcRC3pADTgkoj/ysrPWJe1EiZgPogidJBQgDENEoYfQ7yAAcGDJRxh0EPkNdMKoe72RF6AzM+MQ81IH6Pg+2hkxD4TwUqGcfJVuDoDQQwgvdhhIvm6krfISXpB8lzAAwkYLEdI4+qiRxPnryQAMMR87JSj3ek+56as/VeQ14CVZ8m3IAIBnEfOVBb5nXbWcNIAXBXTLJ4QQYoVinpTDFlyoywkhhKSYz8mM63iUWp67dWQlsaJD+bRD6qrJ0EPzuGRwIELqUy7HhYgT34WJsT4KYpEYxlZ7zw/gYQbNdgdhsxFP9xb6sQUcQOR58KKDiZCPLfS+TBeXXEjk+fD8WNR6yTU1QiCCh8gIO+iK9NCDBx9esq8R5Yh5P07qHzXivP/yFb0wQIAGohzLvO8FqXh3iPn4OyirvQUR8VrMD1pk+1EAPwqS/1YKekIIIVko5gkhhEw8TyzF6k8yu1ehFWbnagfiqeBSy3w2Hv5gYJwj9LNiPmzYk+TJp91Mj+u6unf/AXwvtT7r8VTPQxQ1EBpiPgqBIPQQhEAnipPOBQAWMYsQHjqYRQfN7rzzkR8nzesk7vqR58XTvyvLvNjkI09i5uOkfi116k7oIYQfDz74ysSeiPQo8hDBQ+h5sWW961qfVPXRDSeAn3jcS4SBxMBHrfjPliPmG37Wzb5fMQ+HmA8Ti75ZL9MuIYQQMgAo5gkhhIwsIqLNmPVsnVjxtcIGWmFgrSMivj8x3+g5f56Yh3mOrpj31LaXFa5azMtgQKhM01rMm7HeUkGuQ013H3lZES6h8/HH6/1EsSU9jDxEYZrcLvKirmNWxumgK+YjAB10zfLJdXjwkgbkcr04pt8DvMiDhwjwfEReM/2ejv9rmS9e/8k9z0tm7Wup0/YK6yI3+/g7FIt50zpexjetO4ZDUU8IIaRmKOYJIYSQHGLR7hllXirmtX6NoNLAS2FSR1RwiFiwe8ha7U0xnzFNZ4l6Iq1jK3eEOIleWi85HeKp7zoA2vAQAmghTrDXQYhOsh52AgAhOvDRSc4RwUMYRN0BgOx1+N1PCA9t9ceIkutKUvN3rzPOTp+240uCOyC24Dss8/EXiQdBxPkgDP24mmovVP8BoR8g8ltWy3yPaDeEvm0/jIGAyFLmtMzn1HHhh63EJaECHDQghJCpgWKeEELI0DHFsWt/d+q1nPq6rqtemXbMukIr9Cxu9tmQ9i4ZMZ4glnjtZm+Keej1REzCz2bN19cIu4W4A88h5qHEfFy21C0P0UnmtI8lv4cOIhWWL5Z7t5gHgBA+wqzfv/qkJUCSMwAeIvGt73otqO8VICvmI3Qz4YvXvhel3gMAEHpe9i8WJbkCPQkLCJI8gY2eRHZS1hXo/qzxXXvp/Ya99SS5HiGEEFI3FPOEEEIGQr5rfLlj9dJ1TJol3ovnaO+WpxLrQOB16xRhnudA4HUztHfRlnQA3engIh/oGMKtR8z7qeDPzHufxKhnxHHv9Yo4l3Vz2VbbWsyHSMV8LOyjZF+YrAeJVTsW82kEgNdtp0jMRxkpm7jew0Pa3fCSK4jN7l53UEK+ke6WNJQJXlfzlCU/PruXZPcPdR4CDwh9P+vcIOMGXmDE2af/TUjEfmSIeXGzD3R5Uhaa1nrjuMio0+P+b9QX/LAFP2w5QwOsFMT8V4GhAYQQMtpQzBNCyIRTxho9mPP2t0/vl2u3JaFL60o8vIeWsuzqc4jILyPm9YAAEE+JliHy44+4z0uZLAvFvIesyTk5NFmXad/EGt79PsjGvMOyBKLM/kjVD9QnvpRWco4OQoQI4XXt8bFIh1pvJmMXbjEf62D93RtIU9JLd8M3Po1kv/wddLfET7YT13wAEWbi8iTTfncMwOWJ7iOei15QpnSt++USRMwDAdA4kP2uyTGenxXuXmNNfob7RIjbBL9tmjvttu8Hq9AIDtgHF1zUKObzEvvVBb0WCCGkfyjmCSGETAyxBd/vrgutMC5vi9jPG0wwxDwCQ2xEfizItZgPlZhvm69WPceaLstausNEQLfQK9qhtiO4xbzYwk0xL0uxzEtof4gIIUJEWEos8PH1xKnpTB9306Fc9uUlFXQdJ/tkv60N+buZKe6jbn1PlVgx/i9Ty7u6JFkm3v8lxnsIIYSQkYBinhBCSIYg8nO3y7fjPjZvnz5nFct8029iodPpZqzXrvkHl5Is6l3RnXPhpporI+ajVPiGKGNpTOL8VUknmbVdi3EtyrVlvR8xr2PmkaxnRb3EzItXgHy5IJH8Xq6bfS8iuvUxoVEm69KG/otI1jvTTV+fL0TqAeBACXpPr8jkALKeWPG72t64Dbr7VEI6cztzDmnHckk94wi0ThNCCOkDinlCCCEjQ5rMrjcBXlHMvIh3vd2dii70UxEOVBPz5lRz4mKfsfp6Kqt78eBHmrAuRUR4FTHfsdQrK+Z1uQj1SHkM6O8h2eptMfzuP2UmqYClDMnZPUs9ICvmtT+9r76FDw8+vKQ742es+R4iNBD2dHW83suA+puL84b535jcPtkoigBBYyF7y5h/ouRysnUsrvh6Xdzwg+fht/cDXgMdf9Y6PV73+s2M/Sa2rPoFZEIDCtz8oz5d8oum92PcPiGEuKGYJ4QQ0iWI/IzFPM7k7hfGuNvbqW6Z15Z4vX0g6J3rXZ8LANrRLJ462FLWdy9dP+gjyoh5paxsye0ypNcZOizRWuiaXvomIrjNuqaY1+70vWLe6x5jtm2LmdfleqAgzeMnqesOqm+sxbzEttvEfFov6IpsOb4oZh7Id7N3xdTb2tPX7HXL/Z62zWOkLI7P94IZ+TI9hPDgm5MVFGjNMPkTZG45I/ke9Laq6wfPw2tHgAc0knZChyjXU+CZwjvUCfRcYl/XTep5eqq+ginycqf1s1xv9zjbuQkhhJSCYp4QQoZELHCHH5BbRYi7xHyZxHG97bgEu1ja7fviZfZ88XW4ziUDAEjc35VgT9bDoJEV85UoI+Ztyejs2GLeZV1b3k0xH8IuyF3XIcfZPq59y8f27T2gO2Fev2Le1V0pFvP5Mf26HXOgYLW9nqHevYL/cC8R4Z7t1rOMLWVCAPwIjXayv5ugLxHVxoBAtw0PgG9coym0ixL2yTL5RHn11WkjtW7iur/ynBpcZUXXQggh0wLFPCGEkB60u7vLxb0o5t0U8zrrvCnmTRGfOV/kIQoabjWQtPMcmohaHiLTMh95CIO82O58sknqPKtc1RbyIoHdQa9FXcq1m7w5yRuQzWgv23nnslnm9bR2WWGf/QPr7TiiPk2Ql61XBfExMFPMF4l5V9p6nRVfX00//9fm/0rL2LZZ+r3i7x8m/ye2S0r+nD2Z9UXMh8lggQc0InQz6utjhYyYN+P4vUANHOSLec9imc9MrWcR0NJG3t+insEid5u06hNCphGKeUIImXCqeAOY4j2NQ+9tI6/dIPKSDPJeT/1UzOt9yYqUZXvpQGAGHas6iZiPPABtleQu8HsUhM293RTfLUMlaVlkurCb7dras4n5NnqReh3Y7dta6FfxAgCygwAdy/68Y9N1U+7DUmquu2IYCmMbjOPNpfnNbfei7xh6sZNqYbffQ68edw1E6KOacUtlL0WJ+bABhB1VZjie9ByXLM1xtlBHSHhB1s3faKfjp6I9FKu8EvOm+A+19d6oExoDB4QQQuqFYp4QQkqyXBd508Ldb5b4/HP0tlnFRV7c7LXreuxmL2351nqm5b4bZ6+vR9a7wdp6nyHitStziFiY21QygK6YCgC0szHcUm0JnjWxnLkOZO2xHeSLeVt7Rdbyntx5Rrmegk5jE/NFaOmbivly953dk6FXdGfFvPlNbfHqyCk3yyQBXtyu1/3f6ag6rmXTKHMRC/LU4p7EzCf5A7L1pL0yIQJSo4kGGoB1lgPdTkwYpV4o/kEPoZmoTwl71+W5xLwse9z6FZGfWPG9IHbXF6EeJn97h1XfNaQjBBT1hBBSOxTzhJCJYhACOW3bsNhWPJeZSG6512q3lvcK7FZZ5aeuKT3WyxXzTkOp7JPvqK819HrFfHJ8qLPPq32RRfT0qJC2VPe7TYr4bRliHkgvPc+52rSiazd7cRhXl9+zLtvOcQhLWZ6YryLk5Rjdpi0b/XLR1m+bG74d89u5kqu5pp1Ls9lnl1DbZcV8XCe98hljKdjEPJLzuAcnvO5+l5iXJIFSv5Hui2Z77x1XggMPCD3POobiJSLes4l53bbnxzH+EucfBbGo97Lu92nDqSu+h1Tc67pS5juy4esBAc8i+G1l1n1lBwtciQPLMqBBCcb/E0L6gWKeEDLSVLWGDzLBXK/1udrxZhI3mwu6rX1XNnkpe2IpdVkPI8/tmVxE5PeK7zDx2e2Zt8tLBTvgFvO5Qspt0ey1rqcCXbBFT+tp21pIhbnpXq6PLxLzeZb5fsS8S4wPQsz3ntPuKm+jfM3sUa4zZyn7OxWBY9Y356O3ien87Ou99QUZKHBNxaYT63lJ/TxPg6ZxDNA7MKDrKzHf/Vd7ADj+dhHU7zYbFNDzS3M04cnPOklVIMn7Ig8Ig4X4NEpzRmbGe0Pwe0rMeyLmTcv+MsS8eWwpQVwk5msQ1YzfJ4QMC4p5QghZIbSAt1nPzbh11/52aAj4vPhzmzeAjj0vLeZRINgLhAeyYiMyykwLsha6Lot6A1nxbYp5l3XcbMec+90l5svGrvcr5gmQ/vVdPuVAdlhF8FEt5Zq+h4uS6JkC3DWYoNtrWMptbQHZDP6+URfwepIHpsflZYaPnBtGeZQc6wGeSronifcifawXIPSCbPI9GBZ6iZ+3iHno/TIwYJAn5s257c0p+aTdPKoO//adyI8CnxAyACjmCSGkBGkiOF+VVXOTb4VZC3tLuZLni3n7NG/dtnSit4xlvg8xL2I9dIh5i7iwiR5TjJtR1YFRJ7Vwe906MI6RZZ6Yb6n9oyTm87Zt5WXqVKEf9/oqyeOqU/V6zPup6K/lO8pt9fRS4xJfpmU+L9EfkMlMVxnTwp/XSmRk2jdnJ8i68zvPKMkZBInPlx+CMZYQarf9rpiPK4cqi37gH8jUSdtOxbxNePeUqe1QiXfPn7WK+Z7BAO0NYLPm6+R9xvkIIWTUoJgnhIwt9nnK8wV2vzHryxXzrRBohQ1DzHuZ9d6Y/PQ83XOboj3ygSVdrhqwluWI+dBmJfQNIZ5OxRUm+8rEhJd1PbeJY9Od3SXmm+h1kdfZ681rsLnI63JZN8U8qYOq9s2y7vtV69h+wzpQw3WMGete1s3eDBswy/WxTcSu/qGl3Ey8F7ehrfa9ErR4esYQTXhoZnNUyFiF48+RzZRvLNV66NgX+anwz7QF4zijPQDo6NQaPhA21hh1HWJdBg5KinnTA0CwuvU7PAxsgwJ6hoDBBYgVw3h9QsYXinlCCBkCafb3tCxrme+dyz1NZOcnSa8M0R4kVvOOJU5e1ns0U1EMe1bMB/AN0a0n7vKdLuF5Aln2Z+dvT9vXWeLlWJvItw0QLBnb/Yh50zLvOqcrh7tJWcs8GRXKDhSUFfOyrV3/TTEfGXX1uinmQ/Qo3u615P++vQIx76MJP+Pe7wNoInImIoTjOaMoEvpJs37Xqp/d7xLzoZd1+fciwMMBo27v1HiRP5vG6tumzjOS+Jlx/S5hr8tsYt5sJ7PPWtofjNcnZLoYWTH//e9/H9u2bcODDz6IdruNDRs24LzzzsNb3/rWlb40QsiYYLPCa3d2nbm9KHFeEImbfHnLvG7zQNBIjk/L2oES4a6MZ0BscrKKeaBH+RYQi9rsdUcQYe6jA9+Yws3vHhcvPSWQ430di0N23nZeIjeXaNfC2+Xa3kSvmM+7JlcHuoy7e94xRfso5kedKv9DrueGeRfJb86V0d5lmW+rtrTA7k/MF2f2FzHfTK58BvGv3u+WRRlVXsJ13xxoNMV8Ui4x+Z7htu+SppKsr7vtx4I+Wynouvx38VvZxH1DEPPShjPZXl7yvgJxbhXvFPSETA0jKebvvvtuvP/978fMzAzOPvtsHHLIIbjtttvwkY98BHv37sUHPvCBlb5EQghk/nGxHttdxIvbcGdxB4A9B9ydEts5WmFTrSvLr/T6AtUD1MneeoS00VMUBaqPDQs6TKrNMLR0op1/I1eCK797mMRym/Hb2qpsd3/3HWI+XbYy7XrdOqZ7e168eJ4cqirmgXKu7nLtZSkS81US0VUT8yvpUDsZeD1BFv1R5HaeT55l3qwn2P7vs2Ley5S73OxNS3le7L/tOux48JO4e3mOynm0tT77TAp76sOy7qV/68hLn0HOAdHi30iI3skDc/MkCj4AL0ToB2k+AN2uvCocYyeROibyesV02Jy3x/lbBLvTlV8dJ+Uui3vP+XUYgaueOdjgaIsQMvqMnJjvdDq49NJL4Xkevva1r+GlL30pAOCiiy7Cu9/9bmzbtg1vfvObsX79+pW9UEKIlTTOu5xgsSd2S13ODwQNZ7uhnoqpW6gea9o/U4t5qaMTxJmuolq46zqZTnN+x0cLBb0uYk7LETGyx/uzfw+bZTdA1mYn5a5Y9OzxvcnptGNAVsz3YhPzRRHNVUVxP8dXEd/A8MQ8mWRs8S0meijK9lzUw3JZPERGsj8gG4MvLGdQQmPLBeADWJW5Kl3fz5xfdyvN52P67PQtIT1ZbN/RfG6ZA5MeMvPmxZV6CTOLnuqhl3wjPQGBOWajxjXCxPIvr5N2tM9pmTdFdLeeuP53dyReAf5sj6eASc+5kiSAeeMaPQ4Mljp1wXh8QgbLyIn5HTt24JFHHsE555zTFfIAMD8/jw9+8IP48Ic/jO3bt+O//bf/toJXScjgsAnbetsHVgUNJZLF1bz6ebKW+bhM4sCzLu7mcV5mXxxLbpbF2wcP+Il7uS0zu9crwk0Bbq4H6LGoR1ZRLi6kYg33ESC1KJlWcBu6s9jJiPne/e7jsmJZhHdgOX8ZMS/bZmdOEr3J9yoj5l3nsFFFFFe19AszaKJdk8U2Pict6CSPOodw7IMBPoDAmuqxjMt8Wcq45u931DfVrU352pL16Y9t/yyKxLwHH43CXAU24jqN7hSAhqdB8g4JOzOZ+plLUEWh53UT94Ue4AWpwE+PC3rGnXsuyZI0EH5qZS9rme8kAwAuy3xoGVQosv47cXgFFIUiNPwmmp2F3HpVroUDBmSaGTkxv3PnTgDAxo0be/adccYZmTqEDIIit++8evWc3xTz7vNl47fLtd8KPRwMZ/BcK0q2Tct3+Q6iFuGpmPe6lvXAJsABw2KONBY8o1iTOkY+o2Ibgqvzl1wnPHSMR18nsfDoadFMV3Cd7C3PTVxjJnGzlWtxHTn2287jsuUVXZdLzOvvZCZ9c7Vh2y4zQJFHfA39/bbi5HwU4GQlWK6wtx9vF/MSgz8MMV9mv1nHZhO2iXlYlrIuz2hZ9oYblbs2p5+984j0ivQ0d8l3iBKBH6gY+q6HwAwAH+HSjOO6+vj/8jqA10knGrFctpkgsJPU60kcqC/Dtc9LBicy/51Zr4I8d/3Qa6QJBh11AKAZPI9We39aLxkA0G3bBh1c2KYkNK+riJ5z9wEHFchKMHJifvfu3QCAY445pmffoYceirVr12LPnj1DvqrpRLs6Z0SWzdrZPcbdVrz0K4nF/Oszt7MW4X7PdSDIPoxNq7F5/szfyaDhAUFktueq76fXnDsXuF73evfnIcd25/AK03J5e7sEeDdW3Cj3wmx5YZ+218Xbth7ARwBgKbGGu2LDA9iFqb4UU1SbWcw7MDO2Z9fTenaXchs663t8Xvus3YNwz+5HzNfdPiHjgP1XOTp4PU8SQH5l1eL9lxdLX639soHrtqXer0V/mdwEdWMbgFjVcw0egAZCiMdEI+NxkPfdbejv2UgHusMG3H8D23aRG4Cb3vuqKLEiEIp3mwfr15bQhe72qkcQdFQ9y3Ed23+/488Z+bO5Aty2z/R20OuR1wByBghCr4FQ7ddTDPacL28Wg5qSFy4n14F5DTYHERNbuf7v86N4nTkYhsPIifmFhQUAwCGHHGLdPz8/j//3//6f8/i1a9cO5LoG1S4hhBBCCCGEkPFlpbTiMIc4CSGEEEIIIYQQUgMjJ+bn5+cBAPv377fuX1hYcFrtCSGEEEIIIYSQaWDkxLxMOWeLi9+3bx+effZZazw9IYQQQgghhBAyLYycmD/11FMBAHfeeWfPvrvuugsA8JrXvGao10QIIYQQQgghhIwSIyfmX/va1+IlL3kJ/uEf/gG7du3qli8sLOBzn/scms0m3vGOd6zgFRJCCCGEEEIIISuLF0XRcmYoGgg7duzAli1bMDMzg7e85S2Yn5/Hbbfdhsceewwf+tCHcOGFF670JRJCCCGEEEIIISvGSIp5APj+97+PK664Ag8++CDa7TY2bNiA8847D5s2baql7W3btvW0/da3vrV0G2EY4utf/zr+5m/+Bnv27MHc3BxOO+00fPjDH+7G/RMyLJZ7T99777349re/jZ07d2Lv3r1YXFzEunXr8Gu/9mu44IIL8IIXvGDA34CQLHU8pzXtdhvvfOc78fDDD+PYY4/FP/7jP9Z8xYQUU9d9vbCwgC9/+cu47bbb8Oijj2JmZgYveclL8Gu/9mvYunXrgK6ekF7quKd//vOf46//+q/x7W9/G4899hhmZ2fx4he/GO94xzuwefNmrFq1aoDfgJAsN998M+677z489NBD+NGPfoR2u41Pf/rTOOeccyq1MyytOLJiflDcfffdeP/734+ZmRmcffbZOOSQQ7pW/w9/+MP4wAc+UKqdP/zDP8Tf/u3fYsOGDXjDG96AZ555Bt/85jexatUq3HDDDdiwYcOAvwkhMXXc02eccQaeffZZvPrVr8aJJ54Iz/Owc+dO/N//+39x9NFH44YbbsALX/jCIXwbQup7Tmv+8i//El/5ylewuLhIMU9WhLru68cffxznnXceHn30Ubzuda/DiSeeiFarhUceeQSPP/44vvGNbwz4mxASU8c9/fOf/xznnHMOHn30Ubz61a/GK17xCrRaLdx+++145JFHcPrpp+Ov//qv4fsjFxlMJpQ3vvGN2Lt3L9auXYu5uTns3bu3LzE/NK0YTRHtdjs688wzo1/+5V+OfvCDH3TL9+/fH5199tnRS1/60uinP/1pYTvf+973ouOPPz56z3veEy0tLXXLv/vd70YnnHBC9Du/8zuDuHxCeqjrnr766qujJ598MlMWhmH0R3/0R9Hxxx8f/fEf/3Hdl06Ilbruac1DDz0UvfSlL43+1//6X9Hxxx8fnXXWWTVfNSH51HVfdzqd6Ld+67eik046Kfre975nPQ8hw6Cue/qLX/xidPzxx0d/+qd/milfWlqKfuu3fis6/vjjo507d9Z9+YQ4ueuuu6LHHnssiqK4f3z88cdHf/d3f1epjWFqxaka5tqxYwceeeQRvOUtb8FLX/rSbvn8/Dw++MEPotPpYPv27YXt3HjjjQCAD33oQ5idne2Wv/a1r8XGjRtxzz334Kc//Wn9X4AQg7ru6d///d/HUUcdlSnzPA8f/OAHAQD33HNPvRdOiIO67mmh1Wrhv//3/45XvOIVeO973zuISyakkLru629961v4P//n/+B973sfTj/99J79zWaz1usmxEVd9/Sjjz4KAHjDG96QKZ+dncUZZ5wBAHjmmWdqvHJC8nnd616HdevWLauNYWrFqRLzO3fuBABs3LixZ588MKROHnfffTfm5uZw8skn9+yTtil+yDCo6552IR3DRqPRdxuEVKHue/rKK6/Enj178KlPfQqe59VzkYRUpK77+pvf/CYA4M1vfjOeeOIJXH/99fjiF7+IW2+9Fc8//3yNV0xIPnXd08cddxwA4I477siUt9ttfPe738Xq1avxqle9armXS8hQGaZWnKoh3N27dwMAjjnmmJ59hx56KNauXYs9e/bktrG4uIinn34axx9/vFXgSEIDORchg6SOezqPv/u7vwOQvpgJGTR13tPf//73cc011+DDH/4wjj322Dovk5BK1HVfP/TQQwCA++67D5/+9KfRarW6+w4//HBcfvnlOO200+q5aEJyqOue3rx5M26++WZ8+ctfxkMPPYRf/uVfRrvdxh133IF9+/bhs5/9LH7xF3+x7ssnZGAMWytOlWV+YWEBAHDIIYdY98/Pz2P//v25bcj++fl5Zxv6XIQMkjruaRe7du3CVVddhRe+8IXYsmVL39dISBXquqdbrRY+9rGP4cQTT8T73ve+Wq+RkKrUdV+Lu/EnP/lJnHfeefiXf/kXfO9738Oll16K/fv346KLLsJTTz1V34UT4qCue3r16tW47rrrsGnTJuzcuRNf/vKXcd1113Vd+G2WTUJGmWFrxakS84SQcjz66KO44IILEAQB/uIv/gKHH374Sl8SIZW4/PLLsWfPHvzpn/4pw0TIxBAlExD95//8n/GRj3wEv/RLv4TDDz8c5557Ls4//3zs378fN9100wpfJSHl+dnPfobf+73fw7/+67/ii1/8Iu69917cdddd+PjHP47t27fjXe96F/bt27fSl0nIyDJVYl5GQlwjhQsLC84RRkH2u0ZTpNw1GkNIndRxT5vs3bsX5513Hn72s5/hiiuusCZZImRQ1HFP/+AHP8BXvvIVfOADH8AJJ5xQ+zUSUpW6ntXSzhvf+Maefb/6q78KIHXFJ2SQ1HVP/9mf/RkeeOABXHHFFXjDG96AQw45BEcccQTe9a534aMf/SgeffRRXHvttbVeOyGDZNhacarEvMQo2GJ49u3bh2effdYa+6OZm5vDkUceicceewxBEPTsl/gHORchg6SOe1rz2GOP4dxzz8VTTz2Fyy+/vNs5JGRY1HFP//CHP0QQBNi2bRtOOOGEzAcAfvrTn+KEE07AKaecUvv1E2Kjrme15H54wQte0LNPypaWlpZxpYSUo657+l/+5V9w2GGH4T/9p//Us0+MCT/4wQ+Wd7GEDJFha8WpEvOnnnoqAODOO+/s2XfXXXcBAF7zmtcUtvOa17wGi4uLuP/++3v2SdtyLkIGSV33NBAL+d/93d/FU089hcsuuwxnnnlmfRdKSEnquKfXr1+Pd77zndYPEI+av/Od78Tb3/72ei+eEAd1PatF3PzkJz/p2Sdly51SiZAy1HVPt1otLCwsZJI5Cj/72c8AIDO1FyHjwDC14lSJ+de+9rV4yUtegn/4h3/Arl27uuULCwv43Oc+h2aziXe84x3d8p/97Gf4t3/7t+7DRHjXu94FII7J1A+f733ve7jzzjtx6qmnMnMyGQp13dMi5J988kn8xV/8BX791399aN+BEE0d9/TJJ5+MT33qU9YPABxxxBH41Kc+hUsvvXR4X4xMNXU9q8855xzMzs7iq1/9Kp588slMO1dffTUA4Dd+4zcG/G0Iqe+ePvnkk9HpdPC5z30uU95qtbplnKGBjCqjoBW9SLKpTAk7duzAli1bMDMzg7e85S2Yn5/Hbbfdhsceewwf+tCHcOGFF3brbtu2DVdeeSW2bt2Kiy++ONPOpZdeihtvvBEbNmzAG97wBjzzzDP45je/iVWrVuGGG27Ahg0bhv3VyJRSxz39xje+EXv37sUrX/lK65yxAHp+A4QMirqe0zZOOOEEHHvssfjHf/zHQX4FQnqo676+7rrr8MlPfhKHHXYYfv3Xfx2zs7P453/+Z+zduxf/5b/8F/zJn/zJsL8amVLquKd37dqF3/md38Hzzz+Pk046CSeffDKWlpZw55134tFHH8XLXvYyXH/99Vi1atVKfEUyhdx444247777AAA/+tGP8IMf/AAnn3xyN2zkzDPP7HqvjoJWnKp55oHYRe3rX/86rrjiCtx6661ot9vYsGED/ut//a/YtGlT6Xb+5E/+BCeccAL+5m/+Btdddx3m5ubwq7/6q5zPmAydOu7pvXv3AgAefPBBPPjgg9Y6FPNkWNT1nCZklKjrvj733HOxbt06fOlLX8Itt9yCIAiwYcMGfOADH+hagwgZBnXc0yeeeCK2b9+Oq6++Gjt27MDXvvY1NBoNHH300bj44ovx/ve/n0KeDJX77rsPf//3f58pu//++7su8+vWrSsVijosrTh1lnlCCCGEEEIIIWTcmaqYeUIIIYQQQgghZBKgmCeEEEIIIYQQQsYMinlCCCGEEEIIIWTMoJgnhBBCCCGEEELGDIp5QgghhBBCCCFkzKCYJ4QQQgghhBBCxgyKeUIIIYQQQgghZMygmCeEEEIIIYQQQsYMinlCCCGEEEIIIWTMoJgnhBBCCCGEEELGDIp5QgghhBBCCCFkzKCYJ4QQQgghhBBCxoz/D3vr03uYLXk5AAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6740,7 +6753,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -6758,10 +6771,10 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x1756c16a0>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x2820aea50>"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6805,7 +6818,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -6842,17 +6855,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [a_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
+      "Sampling: [a_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps_spline, beta_ps, a_outcome, sigma]\n",
+      "NUTS: [beta_std, beta_ps, a_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n",
       "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 20 seconds.\n"
@@ -6879,7 +6892,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
@@ -6917,194 +6930,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
-       "      <td>-0.003</td>\n",
-       "      <td>1.015</td>\n",
-       "      <td>-1.909</td>\n",
-       "      <td>1.844</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>3946.0</td>\n",
-       "      <td>4602.0</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>0.994</td>\n",
+       "      <td>-1.863</td>\n",
+       "      <td>1.932</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.010</td>\n",
+       "      <td>5697.0</td>\n",
+       "      <td>5511.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-1.975</td>\n",
-       "      <td>0.375</td>\n",
-       "      <td>-2.639</td>\n",
-       "      <td>-1.235</td>\n",
-       "      <td>0.006</td>\n",
+       "      <td>-1.995</td>\n",
+       "      <td>0.350</td>\n",
+       "      <td>-2.646</td>\n",
+       "      <td>-1.339</td>\n",
+       "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>4117.0</td>\n",
-       "      <td>5160.0</td>\n",
+       "      <td>5981.0</td>\n",
+       "      <td>5677.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>0.154</td>\n",
-       "      <td>0.198</td>\n",
-       "      <td>-0.219</td>\n",
-       "      <td>0.527</td>\n",
+       "      <td>0.158</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>-0.210</td>\n",
+       "      <td>0.539</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8149.0</td>\n",
-       "      <td>6054.0</td>\n",
+       "      <td>10749.0</td>\n",
+       "      <td>5959.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-0.735</td>\n",
-       "      <td>0.229</td>\n",
-       "      <td>-1.161</td>\n",
-       "      <td>-0.295</td>\n",
+       "      <td>-0.727</td>\n",
+       "      <td>0.221</td>\n",
+       "      <td>-1.134</td>\n",
+       "      <td>-0.304</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6210.0</td>\n",
-       "      <td>5959.0</td>\n",
+       "      <td>7062.0</td>\n",
+       "      <td>6228.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
        "      <td>0.210</td>\n",
-       "      <td>0.206</td>\n",
-       "      <td>-0.193</td>\n",
-       "      <td>0.587</td>\n",
+       "      <td>0.203</td>\n",
+       "      <td>-0.173</td>\n",
+       "      <td>0.582</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8713.0</td>\n",
-       "      <td>6244.0</td>\n",
+       "      <td>8388.0</td>\n",
+       "      <td>5781.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.256</td>\n",
-       "      <td>0.362</td>\n",
-       "      <td>-0.414</td>\n",
-       "      <td>0.935</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>4542.0</td>\n",
-       "      <td>5912.0</td>\n",
+       "      <td>0.275</td>\n",
+       "      <td>0.351</td>\n",
+       "      <td>-0.395</td>\n",
+       "      <td>0.928</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>6147.0</td>\n",
+       "      <td>6251.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.451</td>\n",
+       "      <td>-1.441</td>\n",
        "      <td>0.202</td>\n",
-       "      <td>-1.830</td>\n",
-       "      <td>-1.074</td>\n",
+       "      <td>-1.821</td>\n",
+       "      <td>-1.070</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7838.0</td>\n",
-       "      <td>6009.0</td>\n",
+       "      <td>10182.0</td>\n",
+       "      <td>6603.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.529</td>\n",
-       "      <td>0.202</td>\n",
-       "      <td>-0.903</td>\n",
-       "      <td>-0.149</td>\n",
+       "      <td>-0.525</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>-0.912</td>\n",
+       "      <td>-0.162</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8360.0</td>\n",
-       "      <td>5509.0</td>\n",
+       "      <td>8354.0</td>\n",
+       "      <td>6165.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.107</td>\n",
-       "      <td>0.196</td>\n",
-       "      <td>-0.472</td>\n",
-       "      <td>0.271</td>\n",
+       "      <td>-0.109</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>-0.481</td>\n",
+       "      <td>0.268</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8146.0</td>\n",
-       "      <td>5854.0</td>\n",
+       "      <td>10165.0</td>\n",
+       "      <td>6225.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.372</td>\n",
-       "      <td>0.243</td>\n",
-       "      <td>-0.067</td>\n",
-       "      <td>0.826</td>\n",
+       "      <td>0.383</td>\n",
+       "      <td>0.238</td>\n",
+       "      <td>-0.069</td>\n",
+       "      <td>0.824</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5907.0</td>\n",
-       "      <td>6390.0</td>\n",
+       "      <td>5974.0</td>\n",
+       "      <td>6178.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.361</td>\n",
-       "      <td>0.257</td>\n",
-       "      <td>-0.120</td>\n",
-       "      <td>0.846</td>\n",
+       "      <td>0.358</td>\n",
+       "      <td>0.260</td>\n",
+       "      <td>-0.153</td>\n",
+       "      <td>0.835</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5246.0</td>\n",
-       "      <td>5683.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5114.0</td>\n",
+       "      <td>5948.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.365</td>\n",
-       "      <td>0.213</td>\n",
-       "      <td>-0.025</td>\n",
-       "      <td>0.772</td>\n",
+       "      <td>0.358</td>\n",
+       "      <td>0.215</td>\n",
+       "      <td>-0.031</td>\n",
+       "      <td>0.775</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6781.0</td>\n",
-       "      <td>5920.0</td>\n",
+       "      <td>7032.0</td>\n",
+       "      <td>6690.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.022</td>\n",
+       "      <td>-0.018</td>\n",
        "      <td>0.229</td>\n",
-       "      <td>-0.446</td>\n",
-       "      <td>0.412</td>\n",
+       "      <td>-0.459</td>\n",
+       "      <td>0.406</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6439.0</td>\n",
-       "      <td>5930.0</td>\n",
+       "      <td>5847.0</td>\n",
+       "      <td>6195.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.182</td>\n",
-       "      <td>0.258</td>\n",
-       "      <td>-0.315</td>\n",
-       "      <td>0.659</td>\n",
+       "      <td>0.174</td>\n",
+       "      <td>0.254</td>\n",
+       "      <td>-0.293</td>\n",
+       "      <td>0.665</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5561.0</td>\n",
-       "      <td>5746.0</td>\n",
+       "      <td>6844.0</td>\n",
+       "      <td>6351.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
        "      <td>0.204</td>\n",
        "      <td>0.261</td>\n",
-       "      <td>-0.292</td>\n",
-       "      <td>0.678</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>-0.294</td>\n",
+       "      <td>0.688</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5133.0</td>\n",
-       "      <td>5650.0</td>\n",
+       "      <td>6875.0</td>\n",
+       "      <td>6404.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.752</td>\n",
+       "      <td>2.716</td>\n",
        "      <td>0.468</td>\n",
-       "      <td>1.901</td>\n",
-       "      <td>3.647</td>\n",
+       "      <td>1.821</td>\n",
+       "      <td>3.588</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>8212.0</td>\n",
-       "      <td>6467.0</td>\n",
+       "      <td>8825.0</td>\n",
+       "      <td>6182.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -7113,43 +7126,43 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]      -0.003  1.015  -1.909    1.844      0.016    0.011   \n",
-       "beta_[age]            -1.975  0.375  -2.639   -1.235      0.006    0.004   \n",
-       "beta_[race]            0.154  0.198  -0.219    0.527      0.002    0.002   \n",
-       "beta_[sex]            -0.735  0.229  -1.161   -0.295      0.003    0.002   \n",
-       "beta_[smokeintensity]  0.210  0.206  -0.193    0.587      0.002    0.002   \n",
-       "beta_[smokeyrs]        0.256  0.362  -0.414    0.935      0.005    0.003   \n",
-       "beta_[wt71]           -1.451  0.202  -1.830   -1.074      0.002    0.002   \n",
-       "beta_[active_1]       -0.529  0.202  -0.903   -0.149      0.002    0.002   \n",
-       "beta_[active_2]       -0.107  0.196  -0.472    0.271      0.002    0.002   \n",
-       "beta_[education_2]     0.372  0.243  -0.067    0.826      0.003    0.002   \n",
-       "beta_[education_3]     0.361  0.257  -0.120    0.846      0.004    0.003   \n",
-       "beta_[education_4]     0.365  0.213  -0.025    0.772      0.003    0.002   \n",
-       "beta_[education_5]    -0.022  0.229  -0.446    0.412      0.003    0.002   \n",
-       "beta_[exercise_1]      0.182  0.258  -0.315    0.659      0.003    0.003   \n",
-       "beta_[exercise_2]      0.204  0.261  -0.292    0.678      0.004    0.003   \n",
-       "beta_[trt]             2.752  0.468   1.901    3.647      0.005    0.005   \n",
+       "beta_[Intercept]       0.010  0.994  -1.863    1.932      0.013    0.010   \n",
+       "beta_[age]            -1.995  0.350  -2.646   -1.339      0.005    0.004   \n",
+       "beta_[race]            0.158  0.200  -0.210    0.539      0.002    0.002   \n",
+       "beta_[sex]            -0.727  0.221  -1.134   -0.304      0.003    0.002   \n",
+       "beta_[smokeintensity]  0.210  0.203  -0.173    0.582      0.002    0.002   \n",
+       "beta_[smokeyrs]        0.275  0.351  -0.395    0.928      0.004    0.004   \n",
+       "beta_[wt71]           -1.441  0.202  -1.821   -1.070      0.002    0.002   \n",
+       "beta_[active_1]       -0.525  0.201  -0.912   -0.162      0.002    0.002   \n",
+       "beta_[active_2]       -0.109  0.200  -0.481    0.268      0.002    0.002   \n",
+       "beta_[education_2]     0.383  0.238  -0.069    0.824      0.003    0.002   \n",
+       "beta_[education_3]     0.358  0.260  -0.153    0.835      0.004    0.002   \n",
+       "beta_[education_4]     0.358  0.215  -0.031    0.775      0.003    0.002   \n",
+       "beta_[education_5]    -0.018  0.229  -0.459    0.406      0.003    0.002   \n",
+       "beta_[exercise_1]      0.174  0.254  -0.293    0.665      0.003    0.003   \n",
+       "beta_[exercise_2]      0.204  0.261  -0.294    0.688      0.003    0.003   \n",
+       "beta_[trt]             2.716  0.468   1.821    3.588      0.005    0.005   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]         3946.0    4602.0    1.0  \n",
-       "beta_[age]               4117.0    5160.0    1.0  \n",
-       "beta_[race]              8149.0    6054.0    1.0  \n",
-       "beta_[sex]               6210.0    5959.0    1.0  \n",
-       "beta_[smokeintensity]    8713.0    6244.0    1.0  \n",
-       "beta_[smokeyrs]          4542.0    5912.0    1.0  \n",
-       "beta_[wt71]              7838.0    6009.0    1.0  \n",
-       "beta_[active_1]          8360.0    5509.0    1.0  \n",
-       "beta_[active_2]          8146.0    5854.0    1.0  \n",
-       "beta_[education_2]       5907.0    6390.0    1.0  \n",
-       "beta_[education_3]       5246.0    5683.0    1.0  \n",
-       "beta_[education_4]       6781.0    5920.0    1.0  \n",
-       "beta_[education_5]       6439.0    5930.0    1.0  \n",
-       "beta_[exercise_1]        5561.0    5746.0    1.0  \n",
-       "beta_[exercise_2]        5133.0    5650.0    1.0  \n",
-       "beta_[trt]               8212.0    6467.0    1.0  "
+       "beta_[Intercept]         5697.0    5511.0    1.0  \n",
+       "beta_[age]               5981.0    5677.0    1.0  \n",
+       "beta_[race]             10749.0    5959.0    1.0  \n",
+       "beta_[sex]               7062.0    6228.0    1.0  \n",
+       "beta_[smokeintensity]    8388.0    5781.0    1.0  \n",
+       "beta_[smokeyrs]          6147.0    6251.0    1.0  \n",
+       "beta_[wt71]             10182.0    6603.0    1.0  \n",
+       "beta_[active_1]          8354.0    6165.0    1.0  \n",
+       "beta_[active_2]         10165.0    6225.0    1.0  \n",
+       "beta_[education_2]       5974.0    6178.0    1.0  \n",
+       "beta_[education_3]       5114.0    5948.0    1.0  \n",
+       "beta_[education_4]       7032.0    6690.0    1.0  \n",
+       "beta_[education_5]       5847.0    6195.0    1.0  \n",
+       "beta_[exercise_1]        6844.0    6351.0    1.0  \n",
+       "beta_[exercise_2]        6875.0    6404.0    1.0  \n",
+       "beta_[trt]               8825.0    6182.0    1.0  "
       ]
      },
-     "execution_count": 35,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7171,7 +7184,7 @@
     "Across several examples, we have shown that fitting a full joint model distorts the treatment effect estimate relative to a two-step (modular) approach.\n",
     "In other cases, joint and modular approaches yield nearly identical estimates — usually when the treatment mechanism is well-identified from covariates alone. With these observations in scope, we recommend that practitioners generally follow a two-step or modular approach. Either two-stage inverse propensity score weighting or regression adjustment with the propensity score as an additional covariate. Both methods are available now in `CausalPy`. \n",
     "\n",
-    "Framed this way we can see that joint model violates the temporal precedence of the treatment assignment and outcome process. The 2-stage Bayesian procedures ensure that the causal ordering encoded in the actual data generating process is respected in the estimation process. The confounding adjustment achieved with propensity score must occur without access to information about the outcome. A well-specified propensity score model can substantially improve causal estimates (as we've seen), especially when the outcome model is weak or mis-specified. Propensity scores do not only serve to reduce dimensionality; they formalize the treatment mechanism and encode information that the outcome model might fail to recover. This explains their continued prominence in modern causal inference.\n",
+    "Framed this way we can see that joint model violates the temporal precedence of the treatment assignment and outcome process. The 2-stage Bayesian procedures ensure that the causal ordering encoded in the actual data generating process is respected in the estimation process. The confounding adjustment achieved with propensity score must occur without access to information about the outcome. A well-specified propensity score model can substantially improve causal estimates (as we've seen), especially when the outcome model is weak or mis-specified. This allows for a form of __doubly-robust inference__. Propensity scores do not only serve to reduce dimensionality; they formalize the treatment mechanism and encode information that the outcome model might fail to recover. This explains their continued prominence in modern causal inference and usefulness in the Bayesian setting.\n",
     "\n",
     "### References\n",
     ":::{bibliography}\n",
@@ -7179,6 +7192,49 @@
     ":::"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Watermark"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Last updated: Sat Jul 12 2025\n",
+      "\n",
+      "Python implementation: CPython\n",
+      "Python version       : 3.13.5\n",
+      "IPython version      : 9.4.0\n",
+      "\n",
+      "theano: not installed\n",
+      "xarray: 2025.7.0\n",
+      "\n",
+      "pandas    : 2.3.1\n",
+      "arviz     : 0.21.0\n",
+      "pymc      : 5.23.0\n",
+      "numpy     : 2.3.1\n",
+      "matplotlib: 3.10.3\n",
+      "patsy     : 1.0.1\n",
+      "causalpy  : 0.4.2\n",
+      "\n",
+      "Watermark: 2.5.0\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext watermark\n",
+    "%watermark -n -u -v -iv -w -p theano,xarray"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

From e88e4c0f996a8d69d7aaa42449af93235a57c630 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sat, 12 Jul 2025 15:57:46 +0100
Subject: [PATCH 18/31] fixing typos

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 13eb1a8d..cd8eead1 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -588,7 +588,7 @@
     "\n",
     "Here we allow for a function that takes the same inputs but fits two separate models. First we fit the treatment model then store the `idata_treatment` this xarray object stores the posterior estimates for the propensity score. We pass this through to a second outcome model where we proceed to take a random draw from the posterior and pass it through to the outcome regression via a spline component. This allows us to express any non-linearity in the treatment effect. Additionally it can be seen as a way to augment the outcome model.\n",
     "\n",
-    "While theoretically the propensity score contains no extra information if we are already conditioning on $X$, practically the literature reports that the propensity improves the stability of the causal estimates achievable in Bayesian causal modelling. Additionally we might want to seperate covariates for predicting the outcome and the treatment. In this case, there may be extra information derived in the treatment model that be used to inform the outcome model. "
+    "While theoretically the propensity score contains no extra information if we are already conditioning on $X$, practically the literature reports that the propensity improves the stability of the causal estimates achievable in Bayesian causal modelling. Additionally we might want to separate covariates for predicting the outcome and the treatment. In this case, there may be extra information derived in the treatment model that be used to inform the outcome model. "
    ]
   },
   {
@@ -1242,7 +1242,7 @@
     "\n",
     "#### Propensity Score Quantiles - Joint Model\n",
     "\n",
-    "We can see how the different model specifications have yielded distinct propensity score estimates - as the joint specification seems to compensate for missing covariates in the outcome model by adjusting the propensity score latent in the treatment model too. We can see the diffferences in the quantiles to highlight a numeric difference in the propensity score distributions between the two models."
+    "We can see how the different model specifications have yielded distinct propensity score estimates - as the joint specification seems to compensate for missing covariates in the outcome model by adjusting the propensity score latent in the treatment model too. We can see the differences in the quantiles to highlight a numeric difference in the propensity score distributions between the two models."
    ]
   },
   {
@@ -2228,7 +2228,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "First we specify our counterfactual input data. Then we push them throug the joint model distribution using the do-operator in `PyMC` to sample from the posterior predictive distribution giving us sample of the potential outcomes $Y(1), Y(0)$"
+    "First we specify our counterfactual input data. Then we push them through the joint model distribution using the do-operator in `PyMC` to sample from the posterior predictive distribution giving us sample of the potential outcomes $Y(1), Y(0)$"
    ]
   },
   {

From b48b82cde098ecfca10abafaff915193c2be8374 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sat, 12 Jul 2025 17:40:46 +0100
Subject: [PATCH 19/31] adding datasets

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/data/datasets.py                   |    2 +
 causalpy/pymc_models.py                     |    5 +-
 docs/source/notebooks/inv_prop_latent.ipynb | 1350 ++++++++++---------
 3 files changed, 697 insertions(+), 660 deletions(-)

diff --git a/causalpy/data/datasets.py b/causalpy/data/datasets.py
index 1c891c75..3102bdf0 100644
--- a/causalpy/data/datasets.py
+++ b/causalpy/data/datasets.py
@@ -38,6 +38,8 @@
     "nhefs": {"filename": "nhefs.csv"},
     "schoolReturns": {"filename": "schoolingReturns.csv"},
     "pisa18": {"filename": "PISA18sampleScale.csv"},
+    "nets": {"filename": "nets_df.csv"},
+    "lalonde": {"filename": "lalonde.csv"},
 }
 
 
diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index 543a14e7..57779d1a 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -581,13 +581,12 @@ def fit_outcome_model(
         -----
         - This model uses a sampled version of the propensity score (`p`) from the
         posterior of the treatment model, randomly selecting one posterior draw
-        per call.
+        per call. This term is estimated initially in the InversePropensity
+        class initialisation.
         - The term `beta_ps[0] * p + beta_ps[1] * (p * treatment)` captures both
         main and interaction effects of the propensity score.
         - Including spline adjustment enables modeling nonlinear relationships
         between the propensity score and the outcome.
-        - Compatible with IPW-style estimation when combined with weighted loss or
-        diagnostics outside this function.
 
         """
         if not hasattr(self, "idata"):
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index cd8eead1..6d7aa3b3 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -112,43 +112,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>-0.258311</td>\n",
-       "      <td>-1.218545</td>\n",
-       "      <td>-2.141072</td>\n",
+       "      <td>-2.068881</td>\n",
+       "      <td>-0.350503</td>\n",
+       "      <td>-0.621765</td>\n",
        "      <td>0</td>\n",
-       "      <td>7.541699</td>\n",
+       "      <td>0.235686</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.380826</td>\n",
-       "      <td>-0.116874</td>\n",
-       "      <td>1.631210</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1.240376</td>\n",
+       "      <td>-1.148622</td>\n",
+       "      <td>-0.940770</td>\n",
+       "      <td>0.558237</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-3.428762</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0.537338</td>\n",
-       "      <td>-1.024488</td>\n",
-       "      <td>-1.689718</td>\n",
+       "      <td>-0.879276</td>\n",
+       "      <td>-1.126818</td>\n",
+       "      <td>-0.337692</td>\n",
        "      <td>0</td>\n",
-       "      <td>5.760497</td>\n",
+       "      <td>0.719894</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>0.886697</td>\n",
-       "      <td>0.848357</td>\n",
-       "      <td>0.541197</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.007112</td>\n",
+       "      <td>0.025526</td>\n",
+       "      <td>0.133489</td>\n",
+       "      <td>-1.485594</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5.725299</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1.592134</td>\n",
-       "      <td>-0.000832</td>\n",
-       "      <td>0.190106</td>\n",
+       "      <td>0.687656</td>\n",
+       "      <td>0.494313</td>\n",
+       "      <td>1.816960</td>\n",
        "      <td>1</td>\n",
-       "      <td>5.146202</td>\n",
+       "      <td>-1.476772</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -156,11 +156,11 @@
       ],
       "text/plain": [
        "         x1        x2        x3  trt   outcome\n",
-       "0 -0.258311 -1.218545 -2.141072    0  7.541699\n",
-       "1  0.380826 -0.116874  1.631210    1 -1.240376\n",
-       "2  0.537338 -1.024488 -1.689718    0  5.760497\n",
-       "3  0.886697  0.848357  0.541197    1  2.007112\n",
-       "4  1.592134 -0.000832  0.190106    1  5.146202"
+       "0 -2.068881 -0.350503 -0.621765    0  0.235686\n",
+       "1 -1.148622 -0.940770  0.558237    0 -3.428762\n",
+       "2 -0.879276 -1.126818 -0.337692    0  0.719894\n",
+       "3  0.025526  0.133489 -1.485594    0  5.725299\n",
+       "4  0.687656  0.494313  1.816960    1 -1.476772"
       ]
      },
      "execution_count": 2,
@@ -234,7 +234,7 @@
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+       "<!-- like&#45;&gt;Y -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
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-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"812\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"812\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"812\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n",
+       "<title>alpha_outcome</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"800\" cy=\"-296.48\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"800\" y=\"-307.93\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"800\" y=\"-291.43\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"800\" y=\"-274.93\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
-       "<!-- sigma&#45;&gt;like -->\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
        "<g id=\"edge12\" class=\"edge\">\n",
-       "<title>sigma&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M787.33,-259.16C776.09,-245.56 761.58,-231.45 745,-223.32 661.59,-182.42 382.84,-176.34 265.63,-175.64\"/>\n",
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+       "<title>alpha_outcome&#45;&gt;like</title>\n",
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        "</g>\n",
        "</g>\n",
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x280de2a50>"
+       "<graphviz.graphs.Digraph at 0x281ed70e0>"
       ]
      },
      "execution_count": 3,
@@ -509,6 +509,7 @@
     "        \"sigma\": 1,\n",
     "    },\n",
     "    noncentred=True,\n",
+    "    normal_outcome=True,\n",
     "):\n",
     "    with pm.Model(coords=coords) as model:\n",
     "        X_data_trt = pm.Data(\"X\", X_trt)\n",
@@ -563,7 +564,11 @@
     "        )\n",
     "        sigma = pm.HalfNormal(\"sigma\", priors[\"sigma\"])\n",
     "\n",
-    "        _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
+    "        if normal_outcome:\n",
+    "            _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
+    "        else:\n",
+    "            nu = pm.Exponential(\"nu\", lam=1 / 10)\n",
+    "            _ = pm.StudentT(\"like\", nu=nu, mu=mu_outcome, sigma=sigma)\n",
     "\n",
     "    return model\n",
     "\n",
@@ -641,7 +646,7 @@
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        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
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@@ -649,19 +654,11 @@
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        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
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-       "<!-- T -->\n",
-       "<g id=\"node2\" class=\"node\">\n",
-       "<title>T</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M165,-98C165,-98 135,-98 135,-98 129,-98 123,-92 123,-86 123,-86 123,-52.5 123,-52.5 123,-46.5 129,-40.5 135,-40.5 135,-40.5 165,-40.5 165,-40.5 171,-40.5 177,-46.5 177,-52.5 177,-52.5 177,-86 177,-86 177,-92 171,-98 165,-98\"/>\n",
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-       "</g>\n",
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@@ -670,46 +667,54 @@
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-       "<!-- t_pred&#45;&gt;T -->\n",
-       "<g id=\"edge1\" class=\"edge\">\n",
-       "<title>t_pred&#45;&gt;T</title>\n",
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-       "<!-- beta_trt_std -->\n",
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-       "<title>beta_trt_std</title>\n",
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-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-481.83\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<!-- T -->\n",
+       "<g id=\"node4\" class=\"node\">\n",
+       "<title>T</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M165,-98C165,-98 135,-98 135,-98 129,-98 123,-92 123,-86 123,-86 123,-52.5 123,-52.5 123,-46.5 129,-40.5 135,-40.5 135,-40.5 165,-40.5 165,-40.5 171,-40.5 177,-46.5 177,-52.5 177,-52.5 177,-86 177,-86 177,-92 171,-98 165,-98\"/>\n",
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+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- t_pred&#45;&gt;T -->\n",
+       "<g id=\"edge1\" class=\"edge\">\n",
+       "<title>t_pred&#45;&gt;T</title>\n",
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        "<!-- beta_trt_ -->\n",
-       "<g id=\"node6\" class=\"node\">\n",
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-       "<!-- beta_trt_std&#45;&gt;beta_trt_ -->\n",
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+       "<!-- beta_trt_std -->\n",
+       "<g id=\"node6\" class=\"node\">\n",
+       "<title>beta_trt_std</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"150\" cy=\"-503.38\" rx=\"56.39\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-514.83\" font-family=\"Times,serif\" font-size=\"14.00\">beta_trt_std</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-498.33\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-481.83\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_trt_std&#45;&gt;beta_trt_ -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>beta_trt_std&#45;&gt;beta_trt_</title>\n",
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@@ -719,7 +724,7 @@
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        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge3\" class=\"edge\">\n",
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@@ -728,7 +733,7 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x281bb8490>"
+       "<graphviz.graphs.Digraph at 0x2825c47c0>"
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      },
      "execution_count": 4,
@@ -794,6 +799,7 @@
     "    noncentred=True,\n",
     "    spline_component=False,\n",
     "    propensity_score_idata=None,\n",
+    "    normal_outcome=True,\n",
     "):\n",
     "    propensity_scores = az.extract(propensity_score_idata)[\"p\"]\n",
     "    with pm.Model(coords=coords) as model_outcome:\n",
@@ -840,13 +846,24 @@
     "\n",
     "        sigma = pm.HalfNormal(\"sigma\", priors[\"sigma\"])\n",
     "\n",
-    "        _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
+    "        if normal_outcome:\n",
+    "            _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
+    "        else:\n",
+    "            nu = pm.Exponential(\"nu\", lam=1 / 10)\n",
+    "            _ = pm.StudentT(\"like\", nu=nu, mu=mu_outcome, sigma=sigma)\n",
     "\n",
     "    return model_outcome\n",
     "\n",
     "\n",
     "def make_2step_model(\n",
-    "    X_trt, X_outcome, T_data, Y_data, coords, priors, spline_component=False\n",
+    "    X_trt,\n",
+    "    X_outcome,\n",
+    "    T_data,\n",
+    "    Y_data,\n",
+    "    coords,\n",
+    "    priors,\n",
+    "    spline_component=False,\n",
+    "    normal_outcome=True,\n",
     "):\n",
     "    treatment_model = make_treatment_model(X_trt, T_data, coords, priors)\n",
     "    with treatment_model:\n",
@@ -860,6 +877,7 @@
     "        priors,\n",
     "        spline_component,\n",
     "        propensity_score_idata=idata_treatment,\n",
+    "        normal_outcome=normal_outcome,\n",
     "    )\n",
     "    with outcome_model:\n",
     "        idata_outcome = pm.sample_prior_predictive()\n",
@@ -905,7 +923,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b2685e308c064002b444ee21e24eac4b",
+       "model_id": "df7ef1cf613c4a4b807a7319b2d38191",
        "version_major": 2,
        "version_minor": 0
       },
@@ -924,14 +942,6 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -958,7 +968,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
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+       "model_id": "0ba2d68d0027406ebb7c72aae13d0123",
        "version_major": 2,
        "version_minor": 0
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@@ -993,7 +1003,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "691e0a07e2264e76aafb0bd2b65e04f9",
+       "model_id": "35f211cd44df49ae9cb7f3dedaa57ab4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1012,6 +1022,14 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -1026,7 +1044,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 20 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 19 seconds.\n"
      ]
     }
    ],
@@ -1059,7 +1077,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1119,75 +1137,75 @@
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>0.045</td>\n",
-       "      <td>0.026</td>\n",
-       "      <td>-0.002</td>\n",
-       "      <td>0.092</td>\n",
+       "      <td>-0.012</td>\n",
+       "      <td>0.025</td>\n",
+       "      <td>-0.058</td>\n",
+       "      <td>0.037</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.629</td>\n",
-       "      <td>0.136</td>\n",
-       "      <td>2.369</td>\n",
-       "      <td>2.877</td>\n",
+       "      <td>2.371</td>\n",
+       "      <td>0.133</td>\n",
+       "      <td>2.119</td>\n",
+       "      <td>2.618</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
+       "      <td>1.235</td>\n",
+       "      <td>0.067</td>\n",
+       "      <td>1.107</td>\n",
        "      <td>1.360</td>\n",
-       "      <td>0.066</td>\n",
-       "      <td>1.238</td>\n",
-       "      <td>1.487</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-14.524</td>\n",
-       "      <td>0.287</td>\n",
-       "      <td>-15.053</td>\n",
-       "      <td>-13.993</td>\n",
+       "      <td>-14.669</td>\n",
+       "      <td>0.294</td>\n",
+       "      <td>-15.217</td>\n",
+       "      <td>-14.112</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.536</td>\n",
-       "      <td>0.237</td>\n",
-       "      <td>-0.967</td>\n",
-       "      <td>-0.077</td>\n",
+       "      <td>-0.060</td>\n",
+       "      <td>0.240</td>\n",
+       "      <td>-0.502</td>\n",
+       "      <td>0.407</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.267</td>\n",
-       "      <td>0.154</td>\n",
-       "      <td>7.983</td>\n",
-       "      <td>8.557</td>\n",
+       "      <td>8.132</td>\n",
+       "      <td>0.149</td>\n",
+       "      <td>7.855</td>\n",
+       "      <td>8.411</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.178</td>\n",
-       "      <td>0.269</td>\n",
-       "      <td>1.665</td>\n",
-       "      <td>2.679</td>\n",
+       "      <td>1.976</td>\n",
+       "      <td>0.260</td>\n",
+       "      <td>1.476</td>\n",
+       "      <td>2.464</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.184</td>\n",
-       "      <td>0.040</td>\n",
-       "      <td>1.112</td>\n",
-       "      <td>1.257</td>\n",
+       "      <td>1.245</td>\n",
+       "      <td>0.039</td>\n",
+       "      <td>1.175</td>\n",
+       "      <td>1.320</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.194</td>\n",
-       "      <td>0.062</td>\n",
-       "      <td>3.078</td>\n",
-       "      <td>3.309</td>\n",
+       "      <td>3.107</td>\n",
+       "      <td>0.060</td>\n",
+       "      <td>2.991</td>\n",
+       "      <td>3.220</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1196,15 +1214,15 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt       0.045  0.026  -0.002    0.092    1.0\n",
-       "              beta_[trt]      2.629  0.136   2.369    2.877    1.0\n",
-       "              beta_[x1]       1.360  0.066   1.238    1.487    1.0\n",
-       "              beta_ps[0]    -14.524  0.287 -15.053  -13.993    1.0\n",
-       "              beta_ps[1]     -0.536  0.237  -0.967   -0.077    1.0\n",
-       "              alpha_outcome   8.267  0.154   7.983    8.557    1.0\n",
-       "2-stage-model beta_[trt]      2.178  0.269   1.665    2.679    1.0\n",
-       "              beta_[x1]       1.184  0.040   1.112    1.257    1.0\n",
-       "              alpha_outcome   3.194  0.062   3.078    3.309    1.0"
+       "1-stage-model alpha_trt      -0.012  0.025  -0.058    0.037    1.0\n",
+       "              beta_[trt]      2.371  0.133   2.119    2.618    1.0\n",
+       "              beta_[x1]       1.235  0.067   1.107    1.360    1.0\n",
+       "              beta_ps[0]    -14.669  0.294 -15.217  -14.112    1.0\n",
+       "              beta_ps[1]     -0.060  0.240  -0.502    0.407    1.0\n",
+       "              alpha_outcome   8.132  0.149   7.855    8.411    1.0\n",
+       "2-stage-model beta_[trt]      1.976  0.260   1.476    2.464    1.0\n",
+       "              beta_[x1]       1.245  0.039   1.175    1.320    1.0\n",
+       "              alpha_outcome   3.107  0.060   2.991    3.220    1.0"
       ]
      },
      "execution_count": 7,
@@ -1697,13 +1715,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.216, 0.302, 0.373, 0.444, 0.505, 0.57 , 0.634, 0.703, 0.785])\n",
+       "array([0.22 , 0.298, 0.369, 0.433, 0.491, 0.553, 0.619, 0.695, 0.78 ])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4750cb32-edb6-4419-9f19-3c1f079a9c6d' class='xr-array-in' type='checkbox' checked><label for='section-4750cb32-edb6-4419-9f19-3c1f079a9c6d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.216 0.302 0.373 0.444 0.505 0.57 0.634 0.703 0.785</span></div><div class='xr-array-data'><pre>array([0.216, 0.302, 0.373, 0.444, 0.505, 0.57 , 0.634, 0.703, 0.785])</pre></div></div></li><li class='xr-section-item'><input id='section-20d32a92-5ed8-404d-8c26-aa9d4b0fd501' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20d32a92-5ed8-404d-8c26-aa9d4b0fd501' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-caad4819-cadd-4ccf-adfb-35d07ffee1b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-caad4819-cadd-4ccf-adfb-35d07ffee1b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d3327f2-9745-4575-bf7b-5147b706f4ab' class='xr-var-data-in' type='checkbox'><label for='data-5d3327f2-9745-4575-bf7b-5147b706f4ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-746c72a4-3b53-4101-a513-f13b4acbe2fa' class='xr-section-summary-in' type='checkbox'  ><label for='section-746c72a4-3b53-4101-a513-f13b4acbe2fa' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f540a44a-572c-464e-b919-f2c216ee6167' class='xr-index-data-in' type='checkbox'/><label for='index-f540a44a-572c-464e-b919-f2c216ee6167' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebc6bee1-95b0-4493-99bd-608b9544e1c6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ebc6bee1-95b0-4493-99bd-608b9544e1c6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-57f8f595-8f10-4e25-8e58-ee0bf7ffe728' class='xr-array-in' type='checkbox' checked><label for='section-57f8f595-8f10-4e25-8e58-ee0bf7ffe728' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.22 0.298 0.369 0.433 0.491 0.553 0.619 0.695 0.78</span></div><div class='xr-array-data'><pre>array([0.22 , 0.298, 0.369, 0.433, 0.491, 0.553, 0.619, 0.695, 0.78 ])</pre></div></div></li><li class='xr-section-item'><input id='section-8974dbf1-b1df-4d6b-99c3-3e01a3400adc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8974dbf1-b1df-4d6b-99c3-3e01a3400adc' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-142cc305-af33-4590-a0bf-06ec3640a500' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-142cc305-af33-4590-a0bf-06ec3640a500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83df7d9e-0d11-4e02-96e0-9fb5410c5278' class='xr-var-data-in' type='checkbox'><label for='data-83df7d9e-0d11-4e02-96e0-9fb5410c5278' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e86d485-0e32-4fd4-a741-c1d43ccf7120' class='xr-section-summary-in' type='checkbox'  ><label for='section-1e86d485-0e32-4fd4-a741-c1d43ccf7120' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2241503d-f61b-4ebb-85b9-767c8f801ceb' class='xr-index-data-in' type='checkbox'/><label for='index-2241503d-f61b-4ebb-85b9-767c8f801ceb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d789cc48-e1f9-4451-be6b-2981aa44f278' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d789cc48-e1f9-4451-be6b-2981aa44f278' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.216, 0.302, 0.373, 0.444, 0.505, 0.57 , 0.634, 0.703, 0.785])\n",
+       "array([0.22 , 0.298, 0.369, 0.433, 0.491, 0.553, 0.619, 0.695, 0.78 ])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -2180,13 +2198,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.   , 0.001, 0.01 , 0.108, 0.486, 0.879, 0.986, 0.999, 1.   ])\n",
+       "array([0.   , 0.002, 0.016, 0.107, 0.495, 0.864, 0.978, 0.999, 1.   ])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b44567d3-263c-4743-87a1-a2022b08aaf1' class='xr-array-in' type='checkbox' checked><label for='section-b44567d3-263c-4743-87a1-a2022b08aaf1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.01 0.108 0.486 0.879 0.986 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.01 , 0.108, 0.486, 0.879, 0.986, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-759e4576-1386-4467-a536-08f4258a872a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-759e4576-1386-4467-a536-08f4258a872a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-b9cf9195-4d4a-4012-b4a6-a2830fd0e382' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9cf9195-4d4a-4012-b4a6-a2830fd0e382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e472d2c9-a6e2-4837-8d92-bb7665d1aa49' class='xr-var-data-in' type='checkbox'><label for='data-e472d2c9-a6e2-4837-8d92-bb7665d1aa49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1db184ba-88bf-4a12-9113-1933e8df3eb9' class='xr-section-summary-in' type='checkbox'  ><label for='section-1db184ba-88bf-4a12-9113-1933e8df3eb9' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-fcf16bfe-f592-40b7-b94d-9fbb6c68fd1d' class='xr-index-data-in' type='checkbox'/><label for='index-fcf16bfe-f592-40b7-b94d-9fbb6c68fd1d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a49bfa97-a63d-4b30-996b-f44efc5d54df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a49bfa97-a63d-4b30-996b-f44efc5d54df' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-47977c89-aa43-4116-aa29-0cf29d22ec82' class='xr-array-in' type='checkbox' checked><label for='section-47977c89-aa43-4116-aa29-0cf29d22ec82' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.002 0.016 0.107 0.495 0.864 0.978 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.002, 0.016, 0.107, 0.495, 0.864, 0.978, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-f04ba5ef-3ddc-49e5-bce9-0b3ccda7189a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f04ba5ef-3ddc-49e5-bce9-0b3ccda7189a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-8766e2fb-38de-4fc1-9ecc-76036e047fc5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8766e2fb-38de-4fc1-9ecc-76036e047fc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35cfb98a-6d2b-4b6e-8153-c0ee8cfb46ae' class='xr-var-data-in' type='checkbox'><label for='data-35cfb98a-6d2b-4b6e-8153-c0ee8cfb46ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-352f4a2b-c381-400e-9048-a51f5b480233' class='xr-section-summary-in' type='checkbox'  ><label for='section-352f4a2b-c381-400e-9048-a51f5b480233' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-da9a3c05-1708-4d97-8816-d2bac678a765' class='xr-index-data-in' type='checkbox'/><label for='index-da9a3c05-1708-4d97-8816-d2bac678a765' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-072c4405-4f8e-4785-90a1-c08d0d9fef20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-072c4405-4f8e-4785-90a1-c08d0d9fef20' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.   , 0.001, 0.01 , 0.108, 0.486, 0.879, 0.986, 0.999, 1.   ])\n",
+       "array([0.   , 0.002, 0.016, 0.107, 0.495, 0.864, 0.978, 0.999, 1.   ])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -2246,7 +2264,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c3c20e1c642d4d52969a9c7106316ce4",
+       "model_id": "3d15940c1c884c0f9442deda32bc56b4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2277,7 +2295,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fab976af200a4feaaaf5edcaf8e5e0a5",
+       "model_id": "c6399d91ecc44f6581e9c124cb4553b0",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2774,11 +2792,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(3.42768814)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ae9eb9ef-6000-4eed-9c51-c5d115de7ece' class='xr-array-in' type='checkbox' checked><label for='section-ae9eb9ef-6000-4eed-9c51-c5d115de7ece' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.428</span></div><div class='xr-array-data'><pre>array(3.42768814)</pre></div></div></li><li class='xr-section-item'><input id='section-e6e0f5d9-7d98-4020-adfd-920ffcf2f025' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6e0f5d9-7d98-4020-adfd-920ffcf2f025' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-00007a4f-b4ad-4128-93ae-a9456719fbe8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-00007a4f-b4ad-4128-93ae-a9456719fbe8' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a7b3f4bf-1b49-46b2-8d9d-cd53d30b9599' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a7b3f4bf-1b49-46b2-8d9d-cd53d30b9599' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(3.24011481)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fc47ca06-36dc-4475-9f9b-f4350d2ba53f' class='xr-array-in' type='checkbox' checked><label for='section-fc47ca06-36dc-4475-9f9b-f4350d2ba53f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.24</span></div><div class='xr-array-data'><pre>array(3.24011481)</pre></div></div></li><li class='xr-section-item'><input id='section-4839fc56-31db-48ad-940c-5f63c339810c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4839fc56-31db-48ad-940c-5f63c339810c' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8eb53b2e-7403-4bad-9e09-1e5494059deb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8eb53b2e-7403-4bad-9e09-1e5494059deb' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9c014a25-66c7-45e0-bf93-1a2e92f4c75c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c014a25-66c7-45e0-bf93-1a2e92f4c75c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(3.42768814)"
+       "array(3.24011481)"
       ]
      },
      "execution_count": 12,
@@ -3249,11 +3267,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(0.79914133)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9db81b1f-7571-4f52-800a-37782fe3fd28' class='xr-array-in' type='checkbox' checked><label for='section-9db81b1f-7571-4f52-800a-37782fe3fd28' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.7991</span></div><div class='xr-array-data'><pre>array(0.79914133)</pre></div></div></li><li class='xr-section-item'><input id='section-35055293-20dc-45ff-bf2c-4496b09bfd7a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35055293-20dc-45ff-bf2c-4496b09bfd7a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e80e4816-0164-4bf3-a094-ae49e2539295' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e80e4816-0164-4bf3-a094-ae49e2539295' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e51126ff-1eec-4ee0-9ee4-db45ec0879bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e51126ff-1eec-4ee0-9ee4-db45ec0879bf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(0.86890385)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-887d94b9-0353-4fc9-9b54-c5a76ce498e0' class='xr-array-in' type='checkbox' checked><label for='section-887d94b9-0353-4fc9-9b54-c5a76ce498e0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.8689</span></div><div class='xr-array-data'><pre>array(0.86890385)</pre></div></div></li><li class='xr-section-item'><input id='section-fc1e4f6a-7a74-43c6-9cb6-3cf8136d21f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc1e4f6a-7a74-43c6-9cb6-3cf8136d21f9' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-78df5daa-c2d4-446d-9046-a5e3a16e78b0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78df5daa-c2d4-446d-9046-a5e3a16e78b0' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7ae5536a-195a-47fc-95e7-349aa87479b3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ae5536a-195a-47fc-95e7-349aa87479b3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(0.79914133)"
+       "array(0.86890385)"
       ]
      },
      "execution_count": 13,
@@ -3724,11 +3742,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(2.62854681)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a7e79d23-baa8-499b-bb0b-5e74aaee6535' class='xr-array-in' type='checkbox' checked><label for='section-a7e79d23-baa8-499b-bb0b-5e74aaee6535' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.629</span></div><div class='xr-array-data'><pre>array(2.62854681)</pre></div></div></li><li class='xr-section-item'><input id='section-d39ae6ee-8155-4f32-8446-7acda010ff30' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d39ae6ee-8155-4f32-8446-7acda010ff30' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-98d55cd2-3a24-45fe-b47b-df417e7daf74' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-98d55cd2-3a24-45fe-b47b-df417e7daf74' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7f684ff5-201e-4ce1-927b-0a34cd985446' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7f684ff5-201e-4ce1-927b-0a34cd985446' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(2.37121096)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3c668b8d-93d6-4cc0-9619-815aef2293a9' class='xr-array-in' type='checkbox' checked><label for='section-3c668b8d-93d6-4cc0-9619-815aef2293a9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.371</span></div><div class='xr-array-data'><pre>array(2.37121096)</pre></div></div></li><li class='xr-section-item'><input id='section-50e36afc-7bc1-480f-9458-da36016bdee7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-50e36afc-7bc1-480f-9458-da36016bdee7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7fe15d7f-534c-4720-81b8-0bd456ac7dae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7fe15d7f-534c-4720-81b8-0bd456ac7dae' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ab36f2e1-1ed2-45ae-bdd6-dcf02995fed0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ab36f2e1-1ed2-45ae-bdd6-dcf02995fed0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(2.62854681)"
+       "array(2.37121096)"
       ]
      },
      "execution_count": 14,
@@ -3766,7 +3784,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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oUABlQagiQ4YMkUuTTrambHvz5s0BQOmYcC0tLYX7NW3aFJ6enhAEASdOnJDbfuvWLaxYsQKTJ0/GqFGjMHz4cAwfPhyxsbEAyrq3K9KuXbvXWnpOUVmdnJygo6ODnJwcZGZmiuknT54EAPTo0UPhslblXwq8iqioKPG6Bw0aBG9vb7HLtHRegxcNGDBA4bGk99jX11fhy43Ro0cDABISEpCXlye3vWXLlgq7lQ8ePBg6OjpITU3F7du3xfSDBw+K51OkY8eO0NLSQkJCgsIx94MHD5brtq+lpSWOyy7/Akga4B47dgz5+fkKz1ddGjZsiNatWyMzM1NunoE9e/aguLgYPj4+cgFZddHT0wPw73fFy0hnvD9//jzS0tKqvSzlhzpUVY8ePWBubi6XPmLECABAfHy8wnr4plTH96mium9qaiouLVi+Dkuf1aFDh146BwUR0ZvEMfNERFWgr68PAK8UkEhb4bS1teVataUcHR0BQGZCu/JsbW3l0sq3nCnabmJiAkB5cFG/fn2ZVuDyGjdujLi4OLnyrFu3DsuXL0dpaanC/QDItGqV16hRI6X7VIaiawTK7kN6ejry8vLEa5aWW9nSgDY2NjAwMEBubu4rleXx48d4/PgxgLIeB0ZGRvD09MSwYcOUrpn94ph+KWlZpXXgRfb29tDS0kJRURGSk5PlWmyV3Vc9PT1YWVkhKSkJSUlJaNy4MZ49e4bU1FQAwLfffvvSa3z+/DmysrJQr149mXRlz0E6drt8oNetWzfY2NjgxIkT6NixIzp27ChO4Fjd49aBshcNMTEx+PPPP2Wew59//gng9V/ivIz0c6bsM1WepaUlevXqhb///hs9evSAl5cX2rRpA09PT7Ro0ULsvfEqTExMXmslDWX1qWHDhtDW1kZhYaHCevim1NT3KVBWh+/cuSNThwcNGoTg4GBxosWOHTvC09MT3t7eSs9PRFTTGMwTEVWBtEX5VWY+l/7INzU1hZqamsI80oBJWeCtqJts+WMp6jGg7FxSiibOenFb+fLExsbip59+goaGBmbMmAEfHx9YW1tDV1cXampqWLZsGdauXau09UracvmqlO0vbSUu35Vc+tJF+hJGEX19/VcO5gcOHCizznxlKOvVIQ0clD0PNTU1mJqa4sGDBwrrR0XPMSkpSdyv/PXGx8dXWOaCggK5NGXXoeg56Onp4ffff8fPP/+MAwcOYP/+/eKs946Ojpg5cya6du1aYTkqq2fPnliwYAEiIyORmZkJExMTXLt2DVevXoW5uTk6duxYbed6kXQG9coG0kuWLIGjoyNCQ0Nx4sQJsYeGqakpAgMDZYbVVMXrfs4qqof379+vVO+DmlId36dVqcOWlpbYvn07fv75Z0RGRmLXrl3YtWsXAKBFixb46quv0LJly1e7GCKiV8RgnoioClq2bImQkBCx63FVWs6kAeWTJ08gCILCH6CPHj2SyfsmvGxsr3Rb+fLs3bsXABAQEIDx48fL7SNdSuttIP2x/rLuwLUZkJQnDb6kLf0vEgRB4fOQetlzlB5Tul/5QO/SpUsvnUW+utSvXx+LFi3CggULcPnyZZw5cwYHDhzApUuXMGnSJGzbtg3u7u7Vci5dXV307t0bO3bsQEREBEaOHCm2yn/wwQfiGOmaEBcXBwBwc3OrVH4dHR1MmTIFU6ZMwa1bt3D27FkcPXoUx44dw5IlSwCUfdbeNGX1SVk9lH6fCUpWcqjuLvm18X3auHFjrFixAoWFhUhISEBsbCwiIiJw7tw5jB07Fnv37n3l+VSIiF4Fx8wTEVVB586doaenh8ePH+PAgQNV2tfW1hbq6uooLCyUm1BO6ubNmwDKulS/Kenp6UoDWunSbeXLI+2erawVStlY+dogLXf5ydjKS0tLe+VW+eomLau0DrwoKSkJRUVF0NDQUNg9WNkye/n5+WJrsfQchoaGsLCweOn5aoqmpibc3d0xfvx47Ny5E3369EFJSQl27txZrecZPHgwACA8PBzFxcXiS6ia7GJ/+fJlXLx4EQDQpUuXKu/fuHFjDBs2DGvXrsXcuXMBlK0TXxuU1aeUlBQUFhZCXV1dph5KX5wpewmgbFm8inoOKVOb36fa2trw8vLC5MmTsW/fPnh4eCAvLw8RERHVeh4iooowmCciqoK6deuKky3973//q7C7fVxcnNiNWV9fXwyAf/31V7m8BQUFCA0NBVA2y/KbUlRUhLCwMLn0Gzdu4OzZs1BTU0P79u3FdOnkbIpakE+cOPFWBfPSch88eFBh0B4eHv6mi6SU9JmHhobi+fPnctuldcbDw0NhF+qEhARxFv3ydu7ciefPn8PGxkZmHHSPHj0AAFu2bKmW8r8qaWv8w4cPK5VfOtREUdf/8lq0aAFHR0dcvnwZGzduxKNHj2pkbXmprKwsfPXVVwCAtm3bVrplXhnpGvUv3pfKXv/rOnjwoNiyXd7vv/8OQL4eSseNS19mlHf//n2Fk2gC/36fVPV63pbvUw0NDXEd+8rWYSKi6sJgnoioiiZPnoyWLVvi0aNH8PPzw59//ikXfN25cwfz5s3D6NGjZVqqxo0bBwDYtm2b2FIIlI1h/uKLL/DkyRPY2NjU2LJZimhqamLlypWIiYkR0+7fv48vv/wSQFnQV74FTrqEVlBQkEyL2IULF/DNN99UaZm5mtauXTs4OTkhMzMTM2fOxNOnT8Vthw4dQlBQ0BvpYl4Zffv2hbW1NR49eoSvvvpKprfE7t27sX37dgD/1qEXaWpq4quvvhJ7TgDA2bNnsWLFCgDA2LFjZVpBx40bB2NjY+zatQuLFi2SuTdAWXAaFhaG1atXv/a1bd68GZs3b5YLDtPS0sQXSdJVFyoiDRqlqya8jLQV/ueff5b5d3XKzc3Frl27MGjQINy4cQPm5uaVnkfh1KlTWLx4sVzviGfPnolLv724QkFVrv91lJaWYubMmTLfX//8848YOL/Y9b9Tp04AgMOHD8usIvDw4UPMnDkTJSUlCs9T/iVAVScWfZPfp8uWLUNoaKjc5+TGjRv466+/AFS+DhMRVReOmSciqiJtbW0EBwfj66+/xoEDB/Dll19i7ty5sLW1hY6ODh4+fCiuR1+/fn2ZQLhr164YP348goKCMHPmTCxduhRmZma4ffs28vLyYGRkhOXLl1dpPejX1bJlS+jr62PUqFGwt7eHnp4ebty4geLiYjRs2FButvNhw4Zh27ZtSE5Oxvvvvw8HBwcUFRXhzp07cHR0RO/evbFp06Y3Vv6XUVdXx5IlSzBq1CgcPXoUnTp1QuPGjZGZmYnU1FSMGjUKR44cQWpqao2Oo64MXV1dLF++HAEBAdi/fz8iIyPRqFEjPH78WOwmP2HCBHTu3Fnh/sOGDcORI0fQo0cPNGnSBAUFBbhz5w6AsnonXVJMqn79+li9ejUmTZqEzZs3IyQkBA4ODtDV1cWTJ0+QkpICQRDQu3fv17621NRUbN26FYsWLYKNjQ3MzMyQm5uLu3fvoqSkBBKJBB999FGljtW7d2+EhIRg/fr1+Oeff2Bubg41NTWMGzdODCilBgwYgGXLlqGoqKha1pbfuXOnuNxhcXExsrOzce/ePXFVBy8vLyxevFhciq8iz549w8aNG7Fx40aYmprC2toaxcXFuHv3LvLz82FoaIivv/76la//dQQEBOD3339Hly5d4OjoiKysLPFF0YgRI+Dj4yOTv3HjxhgyZAjCwsIwfvx4NGjQAIaGhkhMTIStrS2GDx+OrVu3yp3H2dkZ9vb2SEpKQpcuXeDg4AAtLS00bdoUs2bNemkZ3+T3aWJiItauXYs5c+agYcOGMDIyQnZ2Nu7evQug7Nm/zlKARESvgsE8EdEr0NfXx4oVK3D27Fns2rULZ8+eRUpKCoqKimBiYoIuXbqge/fu6Nu3r9wPyRkzZsDDwwO//vorLl26hEePHsHCwgL9+vXDJ598Iq5n/Kaoqalh1apVWLduHfbs2YObN2/CxMQE3bp1w9SpU+Vm5TYwMMDvv/+OpUuX4tixY7hz5w4sLS3x0UcfYfLkyW9NIC/VtGlT7Ny5E8uXL0d0dDQSExNhZ2eHOXPmwN/fH/v27QPwZicdVMbd3R27d+/GunXrcOLECVy/fh16enro0KEDRo8erTSQB8qWIgsNDcWyZcsQFRWFrKwsODg4YPDgwUpnRPf09MT+/fuxZcsWREZGist9WVpaomPHjujatavYHf91+Pn5wcjICKdPn0ZycjKuXr0KIyMjuLq64oMPPsCQIUMqHXC1atUKS5cuxZYtW3Dz5k1x2bGBAwfK5TUzM0PHjh1x5MiRallbPj09XXyxoqurCwMDA3h4eMDNzQ3vv/9+lbvWe3p6Yvbs2WK9vHXrFjQ1NWFra4uOHTtizJgxcmu9V+X6X4e9vT1CQ0OxfPlyxMTEIDc3F02bNoW/v7/C9dkBYN68ebC2tsaff/6J9PR0FBUVYdiwYZg2bZrS4Rzq6upYt24dfvrpJ5w9exYXLlxQ2oqvyJv6Pp0wYQIaN26MM2fOIC0tDWlpaTA1NUWbNm0wePBg9O3b97WWEiQiehVqgrJpR4mI6J125swZjB49Gm3atFE45vS/IDMzE97e3qhbt26Nd1uuKStXrsSqVaswefJkTJkypbaL89YZOnQozp8/j3Xr1r3SpHRERERvK46ZJyKi/yzpBHhcH/rdlJiYiPPnz9f42vJERES1gcE8ERG9065fv47t27fLTCgnCAJ2794tTozm5+dXW8WjGlJSUoJly5YBKJtPoLbnRCAiIqpuHNxDRETvtKysLMyZM0ccz2tsbIx79+4hKysLQFmg9+JkXqS6oqKisH79ety7dw/p6emoV68eRo8eXdvFIiIiqnYM5omI6J3m6OiIwMBAREdHixOYGRgYoG3bthg6dGi1zNZOb49Hjx4hJiYGenp68PLywjfffAMjI6PaLhYREVG14wR4RERERERERCqGY+aJiIiIiIiIVAyDeSIiIiIiIiIVw2CeiIiIiIiISMUwmCciIqohPj4+cHJyQkpKSq2VYeXKlXBycsLKlStrrQxvKycnJzg5OdV2MV7bqFGj4OTkhDNnztR2Ud4pX331FZycnBAeHl7bRSEiUoiz2RPRf4aPjw9SU1OrtI+NjQ2OHDlSQyV6s8LDw5GamoqBAweiQYMGtV0cUuKrr77Crl27MHDgQHz//fe1XRw5KSkp2LVrF2xsbDBo0KAq7x8eHo6vv/66wnyv+9l7V+r7mTNnEBMTgzZt2sDLy6u2i/POuHr1Kg4dOoRmzZqhW7dutV0cIqJXwmCeiP4zXFxcYGlpKZNWWFiIS5cuidu1tbVltpubm7+x8tW0Xbt2iUGBKgc3VDUmJiZwcHCAiYlJtRwvNTUVq1atQps2bV4pmJfS1taGi4uL0u2v+9mrTH13cHB4rXO8CTExMVi1ahUmT56sNJi3srKCg4MDdHV133DpVNfVq1exatUqDBw4UGkwb25uDgcHBxgaGr7h0hERVQ6DeSL6z1ixYoVcWkpKCt577z0AwM8//8wgl945I0eOxMiRI2u7GHLMzc2xbdu2Wi3D33//Xavnry5Lliyp7SK8k2bMmIEZM2bUdjGIiJTimHkiIiIiIiIiFcNgnohIgQkTJsDJyQmHDx+WSS8uLkbLli3h5OSEzz//XG4/ZRMmCYKA3bt3Y+TIkWjVqhXc3NzQq1cv/PDDD8jKynqlMgqCgD///BP+/v5o1aoVXFxc0L59ewwaNAhLlizB/fv3AZSNuXVyckJMTAwAYPTo0eLEXy+W9dy5c1iyZAkGDRqEtm3bwsXFBZ07d8bnn3+OxMTEl5Zl27Zt6NevH9zc3NCuXTvMmDED9+7dQ3h4OJycnPDVV18p3Pf+/ftYuHAhevbsCTc3N7Rq1QqjRo16pVbTp0+fIjQ0FBMmTED37t3h5uYGT09P+Pr6YuvWrSguLla4X/mJ0I4dOwZ/f3+0bNkSnp6eCAwMxJUrV5SeMzU1FTNnzkTbtm3h7u6ODz74ACEhIRAEocrlr4zExER8/vnn6NSpE1xcXNCuXTtMmTIF586dU5hf2QR45Z9LYWEhVq5cie7du8PV1RWdO3fGokWLkJeXJ7PPqFGjMHr0aABl3b/L1yMfH58auV6pmqjvyibAKz9xYUxMDMaMGYNWrVqhTZs2mDRpEpKSksS8hw8fxogRI+Dh4YHWrVtj+vTpePDggcJriI6Oxvz589GvXz+0adMGrq6u6NatG+bOnYu0tDS5/E5OTli1ahUAYNWqVTLXUf7z9LIJ8F7lu+d1Pg/KlL+np0+fRmBgILy8vOTKnZaWhrlz58LHxwcuLi7w8vJCYGAgjh07pvC4FU1Sp6j++/j4iPM27Nq1S+a+jho1qsJjlz9mTk4O/u///g9dunSBi4sLunfvjl9++UXpdw0A3Lp1C19//bXMNY4fPx6nTp1SmD8zMxOLFy9Gr1694OrqihYtWsDHxwcBAQEICQlReh4ievexmz0RkQKtW7fGkSNHEBsbK3bDB4ArV66IAU5sbKzcftK01q1bi2mCIGDmzJnYt28fAKBhw4aoW7cubty4gQ0bNuCvv/7Cli1b0LBhwyqVccmSJdi4cSMAwNraGvb29sjMzMSNGzdw+fJleHh4oH79+jA0NISHhwdu3LiB3NxcSCQSGBgYiMcxMzMT//75558jOTkZxsbGsLCwgIWFBVJTU7Fnzx4cPHgQQUFBCsftzpo1Czt37gQANGjQAEZGRvjnn39w/PhxjBgxQuk1xMTEYOLEicjJyUGdOnVgZ2eHnJwcxMTEICYmBmPHjsWXX35Z6Xty9OhRzJ49G1paWrCwsIBEIkFWVhYuXbqECxcuIDo6GmvWrIG6uuJ32du2bcO8efNQr149ODg44M6dOzh+/Dji4uIQFhaGxo0by+S/desWRowYgaysLOjo6MDR0RGZmZmYP38+bt68WelyV9bhw4cxbdo0FBYWom7dunByckJaWhoOHjyIQ4cOYd68eRg6dGiVjllUVISxY8fi7NmzcHR0hI2NDe7evYvNmzcjMTFRrGMAxPt548YNGBgYQCKRiNtqen6JmqjvFTl06BCWLFkCY2Nj2Nra4s6dOzh06BDOnz+PXbt2ISIiAosWLUL9+vXRsGFD3L59GxEREbhy5Qp2794NHR0dmeONGzcOpaWlMDU1hbW1NUpKSpCSkoI//vgDf//9N0JCQuDo6Cjm9/DwQHp6OtLT02FlZQUrKytxm729fYXlf93vnqp+HiojIiICy5cvh6GhIWxtbVGnTh1x2/nz5xEYGIinT59CT08PEokEjx8/xvHjx3H8+HFMnDgRn376aZXP+SIXFxdoaWkhKSkJZmZmsLOzE7eVr9MVycnJwbBhw3D37l00adIE6urqSE5OxooVK5Ceno6FCxfK7bN//3588cUXKCoqgr6+PhwdHfHo0SMcO3YMUVFRmDVrlswLhZycHAwdOhTJycnQ0tKCnZ0ddHR0cP/+fURHR+P8+fPw9/d/vRtCRKpLICL6D7t3754gkUgEiUQi3Lt3T0y/cOGCIJFIhIEDB8rkX79+vSCRSISOHTsKEolESE5OFrelpaUJEolE6Ny5s8w+v/76qyCRSISWLVsKJ06cENMfPnwo+Pn5CRKJRPD19a1SuR8/fiw0bdpU8PT0FM6ePSuzraCgQNi3b59w9epVmfSRI0cKEolEOH36tNLj7tq1S+aaBEEQioqKhB07dgjNmzcX3nvvPaGkpERm+19//SVIJBLBxcVF+Oeff8T0zMxMYezYsYKzs7MgkUiEL7/8Uma/+/fvC23atBGcnJyEtWvXCs+fPxe3xcXFiff4yJEjlbspgiBcvXpVOHr0qMyxBEEQkpOTBX9/f0EikQjh4eFy+0nrgLu7u7Bz504xPScnR/jwww8FiUQiTJs2TWaf0tJSYeDAgYJEIhHGjh0rZGZmitv27dsnODs7C82bN5erWxX58ssvld4vDw8PQSKRCAsXLhSvsaSkRFizZo0gkUgEZ2dnuee+YsUKQSKRCCtWrJBJ37lzp7hP7969hdu3b4vbEhISxHMdO3ZMZr/Tp08LEolEGDlyZKWvSdF5u3btWul9aqq+S5/7i7p27Srem40bN4p1Pjs7Wxg6dKggkUiE8ePHC+7u7sKePXvE/dLS0oT33ntPkEgkQkhIiNxx//jjD+H+/fsyafn5+eLzU3RPlT2/ylzrq373vMrnoSLSe9qsWTNh5cqVQlFRkSAIZZ+j58+fC3l5eUKXLl0EiUQifPrpp0JOTo64b3h4uNCsWTNBIpEIkZGRMseVfl7Kl7O8iur/i5+zyhxbekxnZ2fB399f5pkePnxYLOvNmzdl9rt69arg4uIiuLq6Ctu3b5f5Lj18+LDg4eEhNGvWTKYuBwcHK/yOEQRBSE1NFTZt2qS0/ET07mM3eyIiBZo3bw59fX1cu3YNubm5YnpsbCzU1dUxduxY8d9S0m69L7bKb9iwAQAwdepUtG/fXtxmbm6O5cuXQ0tLC+fPn1faxVKR5ORklJaWwtvbG56enjLbdHR00KdPHzRt2rQKV1xmwIABcq10mpqa8PX1Re/evXHv3j257tybNm0CAEycOFFmVmhjY2P89NNPSmfY3rRpE7KysvDhhx/i448/lllJwMPDA/PmzQMAbN68udLlb9q0Kbp06SK3KkHDhg3xv//9DwCwd+9epfsPGTJEZoZ2AwMDsTvu8ePHZfKePn0aly9fRp06dfDDDz/A2NhY3NanTx/4+fm9tKttVf3+++/Izc1Fs2bNMGvWLPEa1dXV8cknn6Bz584oKiqSaUmvjOLiYnz//fcyM7u3aNECvr6+AICoqKhqu4byUlNTZbo3v/jn//7v/8S8NVXfK9KpUyd89NFHYk+OunXrYsqUKQCAyMhI+Pr64oMPPhDzW1lZITAwEIB8fQGAYcOGya2oUadOHXzyySfw9PRETEyM0i76VVUd3z1V+TxUVqdOnTB58mRoapZ1DlVTU4O2tjb27duHtLQ01KtXD4sXL5bpTTFw4EAMGzYMABAUFPRK560JGhoa+PHHH2WeqY+Pj9ib68V79Msvv6CwsBAzZ87E0KFDZXoI+fj44LPPPkNJSQm2bt0qpkuHdIwYMULmOwYo66EyZsyY6r0oIlIp7GZPRKSAhoYGPDw8xC6lnTt3RmlpKeLj4+Hk5IT33nsPixYtQmxsrPhj9+zZswBkg/lbt24hPT0dOjo6Crs/W1paomfPnti3bx+io6PRtm3bSpVP2t32/PnzSEtLg7W19eteskyZIyIicOPGDWRnZ4sBaXp6OgDg2rVr8PDwAADk5ubi/PnzAKBwmTIjIyN069ZN4XjWgwcPAoAYNL6oY8eO0NLSQkJCAoqLi8Uf/xUpLCzEgQMHcObMGaSnpyM/P19m/Pq1a9eU7jtkyBC5NCcnJ+jo6CAnJweZmZniEm/SH+q9evWCqamp3H4jRozAr7/+WqkyV0Z0dDQAKO1SO3r0aBw7dkzMV1nNmjWDq6urXLo0LSUlpYolrZyKlqYr/1KpJuv7yyiqD82aNXvp9ubNmwNQft8uXryIAwcO4ObNm8jNzUVJSQkA4O7duwDK6ueLAf+rqI7vnqp8HiprwIABCtNPnDgBoOz74MXhCUBZ/f7999+RkJCAvLw86OnpVem8NaFjx46oX7++XLqrqysOHjyIe/fuiWmFhYU4duwYNDQ0lC7p6OPjgwULFsi8JJbW/UOHDqFz586V/h4kov8GfiMQESnRunVrHD9+HLGxsejcuTOuXbuGp0+fiq3XVlZWYms8oLhlXtqqYmVlpfTHp3SMbPlJtSpiaWmJXr164e+//0aPHj3g5eWFNm3awNPTEy1atHjlH3zr1q3D8uXLUVpaqjRPdna2+Pfk5GQIggBjY2OlAYiiCcaePXuG1NRUAMC333770jI9f/4cWVlZqFevXoXlT0tLw9ixY3Hnzp1Klf9Ftra2CtNNTU2Rnp6OvLw8MXiRPi9l44bt7e2hqalZba3z0vOVH1NdXpMmTQAAjx49Qm5urkzL5ssoGy8tfUHx7NmzKpa0cqqyNF1N1feKKKoP5V/cKNourR8v3jdBEDB//nz8/vvvLz3ny+pnVVTHd09VPg+VpezzUlH9tre3h5aWFoqKipCcnFwjPTGqqqLPTvkJJJOSkvD8+XNoaWlh3LhxCveTvnQs3ztj0KBBCA4ORnh4OKKiotCxY0d4enrC29u7yvOsENG7h8E8EZES0qBc2koiDdbbtGkDAGjVqhX27t2L9PR0aGpqIikpCebm5jLdlaU/6F826ZY0SC3/4z8sLEycUK48aXdqoGxCMEdHR4SGhuLEiRNiy5apqSkCAwNlugdXRmxsLH766SdoaGhgxowZ8PHxgbW1NXR1daGmpoZly5Zh7dq1MsGp9Meqvr6+0uMq2lZ+6EJ8fHyFZSsoKKjUNXz11Ve4c+cO3N3dMWXKFDRr1gxGRkbQ0tJCcXExnJ2dXxpcKwt6pPexfAu/9NqVBTPq6uowMTFBRkZGpcpeEen5lNWl8unPnj2rdDBf0TW/Laq7vldG+cnZpNTU1MS/KxpCUn57ebt378bvv/8OPT09fP7552jfvj0sLS3Fc8ycORN79+6ttpc/r/rdU15VPg+VpWzYTUX1W01NDaampnjw4EGNvWCqqqrcn5ycHABlE05W9J33/Plz8e+WlpbYvn07fv75Z0RGRmLXrl3YtWsXgLLhMF999RVatmz5WtdBRKqLwTwRkRKurq6oU6cOLl26hLy8PMTGxkJNTU0cs9umTRvs3bsXMTEx0NLSAiDbKg/8G8g+fvxY6XkePXokkxco69Ku6Adf+ePo6OhgypQpmDJlCm7duoWzZ8/i6NGjOHbsGJYsWQIACAgIqPT1SseSBwQEYPz48XLbpUt/lSf9MfviEmblKfrhXf5H8KVLl8T79zoePHiAM2fOQFdXF0FBQXLjS6XDBKqL9BoyMzMVbi8tLX3lZQeVnS8nJwePHz9W2GJavm687OWKqqru+v6mST9fX375Jfz8/OS2K/p8vY5X/e6pLdLPk7LyCoKAJ0+eAJAtr/TlibIXCy/7bnqTpGW2tLSs8jwUjRs3xooVK1BYWIiEhATExsYiIiIC586dw9ixY7F37140aNCgJopNRG+5t+u1OxHRW0RLSwstWrRAcXExEhISEBcXhyZNmohdKKWBe0xMjNh636pVK5ljSJePSk9PV9qaJF3CrPxSU1OmTMH169fl/igba9m4cWMMGzYMa9euxdy5cwEAO3bsqNL1Sru9K2vlUTTW3NbWFurq6sjMzMTDhw8V7nf9+nW5NENDQ1hYWABAtS3hJl2nu1GjRnKBvLJyvA7p87p9+7bC7Xfv3kVRUVG1n0/Z/UpMTARQ1tpa2Vb5V6Gs5flNqo76/qZJx9Ar+nwVFRXh1q1bCvd71fv9qt89taWi+p2UlISioiJoaGjIvMyStvRLA/0XJScnK0x/0/XYzs4OWlpayMjIeOWXfNra2vDy8sLkyZOxb98+eHh4IC8vDxEREdVbWCJSGQzmiYheQhqwh4SEIDMzU6bl3cHBAebm5oiNjRWDeWkXfKnGjRvD2toaz58/R2hoqNzxHzx4gAMHDgAAOnToUC1lbtGiBQDIBdfS7rzKuqxLJ51S1DJ24sQJhcG8gYEB3N3dAUDs+lleTk4ODh8+rPB8PXr0AABs2bJF4faqkl7f48ePFbbSSWf2ri7S5/X3338rbJ2vaGz0q54vJCRE4XbpZHvVVY+UqagevWmvWt/ftPL180Xh4eFKg1Hp57Kq11Eb3z2vQ1qG0NBQmW7mUtL67eHhIdOzRzpu/OLFi3L73L9/XxyO8aJXva+vSldXFx06dEBpaWm1TIypoaEhTlKp7EUqEb37GMwTEb2ENHg/cuSIzL+lWrVqhbt37yIxMREmJiZykzepqamJXX9XrlwpswTUo0ePMH36dBQVFaFFixbw9vaudLlOnTqFxYsXy7ViPXv2TAxanZ2dZbZJf/SWnym5POnwgaCgIJlZmC9cuIBvvvlG4QzTAMSlkVavXi3eJ6BsIq/PPvtMaTfXcePGwdjYGLt27cKiRYvw9OlTme1ZWVkICwvD6tWrFe7/IkdHRxgZGeH+/ftYs2aNGNA/f/4cCxcuxJUrVyp1nMpq27Ytmjdvjvz8fHzxxRcyE5ft378f27Ztq9aJ2YYPHw4DAwNcvXoV//vf/1BYWAigrDv/+vXrERkZCS0tLXz00UfVdk5FpN15b968qTQArW41Ud/fNOnna/ny5TL3LSoqCkuWLFH6+ZJeh3RVh8qqqe+emtK3b19YW1vj0aNH+Oqrr2R6E+zevRvbt28HALnJ4zp16gQAOHz4MI4dOyamP3z4EDNnzhRXC3hR+ZcA+fn51Xotynz66afQ1tbGmjVrEBQUJPci4eHDh9iyZYvMxJDLli1DaGio3PfjjRs38NdffwH4dwUFIvrv4Zh5IqKXaNGihTiDMiAfzLdu3Vr8QdW6dWuFXTf9/f2RkJCAffv2YcyYMbCzs4OBgQFu3LiBoqIiWFtb48cff6xSuZ49e4aNGzdi48aNMDU1hbW1NYqLi3H37l3k5+fD0NBQXA9aqnfv3ggJCcH69evxzz//wNzcHGpqahg3bhw6deqEYcOGYdu2bUhOTsb7778PBwcHFBUV4c6dO3B0dETv3r3FNeXL69WrFwYPHoydO3diwoQJaNiwIYyMjHDz5k3o6OggICAAa9eulZucrH79+li9ejUmTZqEzZs3IyQkBA4ODtDV1cWTJ0+QkpICQRDQu3fvSt0TLS0tfPrpp5g/fz5+/vln/P7777C0tERSUhKePXuGBQsWYPbs2VW6zy+jpqaGJUuWYOTIkYiKikKnTp3g6OiIzMxMpKamYsSIETh27Jg4fOF1WVpaYsmSJfj000+xZcsW/Pnnn7C1tUVaWhoeP34MdXV1fPvttzU+y7epqSm8vb1x+vRpdOvWDY6OjtDR0UG9evWwbNmySh8nIyMDw4cPf2meDRs2QF9fv0bq+5sWGBiIiIgInD9/Hl27doWDgwOePn2K1NRUeHl5wcLCQhxXX16HDh1gZGSEuLg4dOnSBQ0bNoSmpiY6duyocG6L8mriu6em6OrqYvny5QgICMD+/fsRGRmJRo0a4fHjx+J8FxMmTBAnAJVq3LgxhgwZgrCwMIwfPx4NGjSAoaEhEhMTYWtri+HDh8us2y7l7OwMe3t7JCUloUuXLnBwcICWlhaaNm2KWbNm1cg1NmvWDD/99BM+//xzLF26FKtWrUKjRo3E7vfS6yz/wiIxMRFr167FnDlzxO/W7OxscSlDLy8v9O/fv0bKS0RvP7bMExG9hI6ODtzc3ACUjcV+cXm08t3qXxwvL6WmpoYff/wRixcvRqtWrfD48WMkJibCxsYGAQEBCA8Pr/ISQ56enpg9eza6du0KPT093Lp1C6mpqbC1tUVgYCD++usvuZbKVq1aYenSpXBzc8PDhw8RGxuLmJgYcRIsAwMD/P777xgwYAAMDAxw584dFBUV4aOPPsL27dtfOknWwoULMXfuXEgkEjx48ABpaWno2rUrQkNDxbHxivb39PTE/v378cknn6Bx48ZISUnB9evXoa6ujo4dO2Lu3LlV+mHt7++PH374Ac2aNUNWVhaSk5Ph4uKCoKAgpevZv44mTZogLCwMffv2RZ06dZCYmAh9fX18++23mDNnzisdU9qSqGhSwPfeew/h4eH44IMPoK2tjWvXrkEQBHTv3h2///47hg0b9lrXU1lLly7FoEGDYGBggMuXLyMmJgbnz5+v0jEKCwsRHx//0j/Se1ET9f1Ns7a2xh9//IEePXpAS0sLt2/fFif127Bhg9JeHAYGBggODkanTp1QVFSEc+fOISYmRulcDeXVxHdPTXJ3d8fu3bsxbNgwmJiY4Pr168jLy0OHDh0QFBSEadOmKdxv3rx5mDp1KmxtbfHgwQM8efIEw4YNw/bt21G3bl2F+6irq2PdunXo2bMnNDQ0cOHCBcTExCgcTlSdunfvjoiICIwePRo2Nja4c+cObt68iTp16qB79+5YvHixzEuaCRMmYPz48XB1dUVeXh6uXr2KgoICtGnTBosXL8bGjRu59jzRf5ia8CrrihAREVXSggUL8Ntvv+Hrr78Wu+STcp988gmOHj2KgIAAfPHFF7VdHCIiInpLsWWeiIhqzLNnz8RJtjw8PGq5NKrhxo0bAMq6DxMREREpw2CeiIhe2+bNm3H16lWZtAcPHmDq1KnIyMiAs7OzOFyBlNu8eTNSU1PFMdFEREREynCQDRERvbbDhw9j0aJFMDQ0RMOGDVFYWIjbt2+jtLQUJiYm+P7772u7iG+1gIAAXL9+HRkZGQDKJkuTzjVAREREpAiDeSIiem2jR49G3bp1ceXKFdy+fRuCIMDW1hYdO3bEuHHjYGlpWdtFfKtduHABRUVFcHZ2xrBhw97YRHZERESkujgBHhEREREREZGK4Zh5IiIiIiIiIhXzn+9mn5mZWdtFqDQjIyNkZ2fXdjGIXor1lFQF6yqpAtZTUhWsq6QKVKmempiYVJiHLfMqRF2dj4vefqynpCpYV0kVsJ6SqmBdJVXwrtXTd+tqiIiIiIiIiP4DGMwTERERERERqRgG80REREREREQqhsE8ERERERERkYphME9ERERERESkYhjMExEREREREakYBvNEREREREREKobBPBEREREREZGKYTBPREREREREpGIYzBMRERERERGpGAbzRERERERERCqGwTwRERERERGRimEwT0RERERERKRiNGu7AFQFJSVlf6j6aGjUdgmIiIiIiIiqjC3zRERERERERCqGLfOqhC3z1Y8t80REREREpILYMq9KpME8/1TfHyKiCuzbtw/e3t7Yt29fbReFSOUNGDAAAwYMqO1iVJq3tzcmTJhQ28UgIlKILfOqJD+/7A9VH13d2i4BvUXU0tNruwhKCVZWr32MtLQ0DBo0SCZNU1MTpqamaNGiBUaNGoUmTZq89nn+K7y9vdGyZUusWbOmRs9z/vx5bN++HRcvXkRmZiZ0dXVhamoKJycneHl5oU+fPjV6/rfVuXPncOzYMcTHxyM9PR0FBQWwsrJCx44d8eGHH8LQ0LBGzvumnntNGzBgAO7fv//SPP/880+V7+P8+fOxf/9+hIeHw9ra+nWK+EZMmDABCQkJOH36dG0XhYioyhjMq5LUVCAzs7ZL8W4xNa3tEhC9cQ0aNEDPnj0BAPn5+bh06RIOHjyIyMhIrFq1Cm5ubrVcwrdLly5d4OLignr16r3xc+/btw//93//Bw0NDbRr1w4NGzbE8+fPkZqaipMnTyIhIeE/G8x/8803yM7OhpubG3r37g0AiI+Px2+//YbIyEgEBQXBlN/xL6WhoYExY8Yo3a6trV3t51y1alW1H7Mm/fHHH6hTp05tF4OISCEG86okN7fsDxHRa2jQoAHGjRsnk7Z27Vps3rwZa9euxerVq2upZG8nAwMDGBgYvPHzFhQU4KeffoKenh6CgoLQuHFjme3FxcWIi4t74+V6W/j5+aF3794yL1kEQcAPP/yA8PBwBAcH4/PPP6/FEr79NDQ05L4LalqDBg3e6Plel729fW0XgYhIKQbzqiQjA3j6tLZLQUTvIF9fX2zevBlXr14V06TdiefNm4e1a9fi9OnTyMzMxKpVq+Dp6QkAiIiIQHh4OG7fvg0AaNSoEQYNGiTXWhwXF4dJkyYhICAArVq1QlBQEK5duwYtLS14e3tj8uTJsLCwkCvXkydPsHXrVpw4cQIPHjyAnp4eWrZsiXHjxskFt9JxuNu2bcO6detw+PBhZGVlwdbWFgEBAfDx8ZHJn5OTg6CgIBw5cgQPHjyAuro66tWrBxcXF4wfPx6WlpYAylrHFy5ciNmzZ6Nv377itQBAQkICvL29xWPOnj0bALBw4UJMnjwZI0eOlLumkydPYvr06Rg6dCimT5+u9JncunULeXl56NSpk9y1AmVDJLy8vBTuGxUVhZ07d+Lq1asoKCiQGUpR/ljZ2dnYtGkTjh07hkePHsHAwAAeHh4IDAyEg4ODzDGl3ad37tyJqKgo7NmzBykpKejevTvmzJkDoGrPKzk5GVu2bEF8fDweP34MXV1dWFpawtPTE59++qnS+yI1evRouTQ1NTWMHTsW4eHhSEhIqPAY5cXFxeHXX3/FzZs3kZ2dDSMjIzRs2BC9evVC//79K3zuffv2RW5uLsLDw3Hq1Cncu3cPWVlZMDY2RuvWrREQEKAwkM3KysKaNWsQFRWFvLw8NGrUCB9++CFyc3OxcOFCLFq0CF27dpXZJzExEVu2bEFCQgKys7NRr149dOjQAePGjYORkVGVrruyHj16hK1bt+LkyZPIyMiAjo4OzM3N4e7ujkmTJkFfX1+m6375IT3lhyVIP6d//vmnuH39+vUIDg7GL7/8gvT0dGzbtg0pKSkwNTWFn58fhg0bBkEQsGPHDoSHhyM9PR2WlpYYO3Ys3n//fZlyJicnY/fu3YiNjcX9+/dRUFAAS0tLdOnSBR999BH09PTEvOWfYfm/9+7dW6zTyoZVvMpnJzw8HCdPnkRoaCjS09NhamqKvn37YuzYsVBX5zRWpACH11Y/E5PaLkG1YjCvSjIygGfParsURPQOUlNTU5j+9OlTjBs3DnXr1kW3bt1QVFQEfX19AMDy5cvxxx9/wNzcHB988AHU1NRw9OhRLFiwAImJiZg2bZrc8S5fvoytW7eiXbt2GDp0KK5fv46DBw/i/Pnz2LhxI8zMzMS8KSkpmDhxIjIyMuDl5YVOnTohMzMTR48exZkzZ7By5Uq4uLjIHL+kpARTp07F06dP0blzZzx//hz//PMPZs2aheXLl4vBryAICAgIwPnz5+Hm5gZvb2+oq6sjPT0dx44dQ+/evcVg/kVWVlYICAhAcHAw6tevL/PiQiKRwNbWFsuXL8eePXsUBvO7d+8GAPTr1+8lTwSoW7cugLK5DkpLSyv9Y3/lypUICQlB3bp10blzZ5iYmODBgweIjY1F06ZNxaA6OzsbAQEBSElJgYeHB7p374709HQcOXIEJ0+exIoVK+Dq6ip3/KVLl+LSpUto37492rdvL3Zlr8rzysjIQEBAAPLz89G+fXvY2toiPz8f9+7dQ2hoaKWCeWU0Nct+2mhUYbWS6OhozJw5E4aGhujYsSPq1auHzMxMJCYm4sCBA+jfv3+Fzx0AkpKSsH79enh6eqJz586oU6cO7t69i4MHDyI6OhpbtmyBVbn5L/Ly8jBhwgTcuXMH7u7ucHd3R0ZGBubMmYM2bdooLGtUVBRmz54NdXV1dOzYERYWFkhKSkJYWBjOnDmD4OBgse5Ul4KCAowfPx7p6enw8vJC586dUVxcjNTUVERERGDkyJHQ19eHn58fIiIikJiYiGHDhok9WqwqOefH9u3bER8fj06dOsHT0xNHjx7FsmXLUKdOHSQmJuLIkSNo3749PD09cejQIcybNw9WVlZo0aKFeIzIyEjs3bsXnp6e8PDwgCAIuHTpEn799VckJCRg7dq1Yh0JCAhAREQE7t+/j4CAAPEY0uepzKt+dlatWoX4+Hi0b98eXl5eiIqKwoYNG1BUVMRJ9kix7OzaLsG7RwXm8qgKBvOqJDeXwTwR1YgdO3YAAJo1ayaTfuvWLfTt2xdff/21THB07tw5/PHHH7C3t8eGDRvEH+3jxo1DQEAA/vjjD3Tp0kXmRzYAnD59Gt98841MIBscHIz169dj7dq1mDVrlpg+b948PH78WCYIB4CPPvoIY8aMwaJFixASEiJz/IyMDDRr1gyrV6+GlpYWAKBHjx6YMmUKtm3bJh7n1q1bOH/+PDp37ozFixfLHKOwsBDFxcVK75W1tTXGjRuH4OBgWFlZKeym3KtXL4SFhSEhIQEtW7YU0588eYLo6Gg4OzvD0dFR6TmAsu7ITk5OuH79OiZNmoQ+ffrA2dkZtra2SgPVkydPIiQkBI0bN8bq1atlWmmLi4uRXe6H4apVq5CSkoIPP/xQJpDo06cPpk2bhvnz52P79u1yLxFu3ryJrVu3on79+jLpVXleR48eRU5ODj777DMMGzZM5jhZWVkvvS8V2bt3LwAoDYaV7SMIAn755Re5SSCl96wyz93e3h779u2Tax2Pi4vDlClTsGnTJnzzzTdi+q+//oo7d+5gyJAhmDlzppjet29fsRfAi2WZN28ejI2NERQUJPMMDh48iDlz5iAoKEjmWC9TUlKC9evXK9xmZmYmtq7HxsYiLS0Nfn5+ci/pnj17Jo6t9/Pzw40bN8RgvqoT4J07dw5btmyBjY0NAMDf3x9DhgzBypUrYWpqipCQEJj8/1a1Pn36ICAgACEhITLfM7169cLw4cPFz7+U9Hvm0KFD6NWrF4Cy76v4+Hjcv3+/SsMNXvWzc+3aNfz222/i0JCxY8fC19cXoaGhCAwMlCszEVdeooowmFclT54wmCei15aSkiL+gJdOgHfhwgXo6OjItQ5paWlh8uTJcsFjREQEACAwMFBmPLmBgQECAwPx7bffIiIiQi6Yt7OzwwcffCCT5u/vj7CwMBw8eBBffPEFtLS0cP36dVy8eBEffPCBXFdyW1tb9O/fH9u2bcOtW7fkum9PmzZN5kdx69atUb9+fVy5ckXuXujo6MilaWtrv/bEXwMGDEBYWBj27NkjE8zv378fxcXF6N+/f4XHUFNTw//+9z989913SEhIELuN16lTBy4uLujVqxfef/99mWcTFhYGAJg+fbpcQKmpqSn2fCgqKsLBgwdhZGSEjz76SCaft7c3vL29cfr0aVy4cEHuGfr7+8sF8q/6vBTdf2Nj4wrvjTI3btxAcHAwTExMMGrUqCrvr6g8Vem2rmxuBU9PTzg4OCA2NlYm/e+//4a2trZMq7A0v/QZlLd//348e/YMM2fOlHsGPXr0QEhICA4dOlSlYD44OFjhtiZNmsitfqHo/kh76lSHoUOHioE8AFhaWsLd3R1nz57F9OnTxUAeAJydnWFjY4PExESZYygargMAQ4YMwfr16xEbGysG86/idT47Y8eOlZnjwdjYGB07dsT+/ftx9+7dCl/w0X9QYWFtl4DecgzmVUlKCoN5InptKSkp4g946dJ0PXr0wOjRo+V+TFpbWysMrq5fvw4A8PDwkNsmTXvxRzYAuLm5yXXpr1OnDpycnHD69GkkJyejcePGuHTpEoCylmxFLYd3794V/1s+ODQ0NFTYGmhhYSEeEyhrQZVIJDh48CAePnyITp06oUWLFnBycqpS92xlHB0d4erqiiNHjmDGjBlikLd3717o6emhW7dulTqOjY0N1q9fjxs3biA2NhZXrlzBxYsXcfbsWZw9exZ//fUXli1bJr58uHLlCrS1tWVeICiSlJSE58+fw8PDQ+FM3R4eHjh9+jQSExPlAhJnZ2e5/FV9Xh06dMDq1avx448/IjY2Ft7e3nB3d4etrW2l7osiaWlpmDFjBkpLS7Fw4UK5equoXH5+fjA0NMR7772HyMhIBAYGonv37vD09ESLFi1eaTb8uLg4bN++HZcvX0ZWVhZKyrWslX/J9OzZM6Snp6NRo0YyQaqUq6urXDAvvc+XL19GSkqK3D6FhYXIysoSx+pXRFtbG1FRURXma9myJczMzLB161YkJiaiXbt2cHd3h6Ojo9IhOq9CUfd26QsoRctmmpmZ4fLlyzJpgiBg3759iIiIwO3bt5Gbm4vS0lJx+6NHj16rjK/z2XFycpLLL335kMsJjkmRjIzaLgG95RjMq5LsbKCoqLZLQUQqztvbG8uXL69UXmXBTF5eHtTV1RUGIaamplBXV1f441RR/vLnke7z9P9P9hkdHY3o6Gil5ct/YXIgZa2EGhoaMj/oNTU1sWXLFixduhSRkZFYsWIFgLKWMl9fX4wZM+a1g/r+/ftj4cKF+PvvvzFkyBCcO3cOd+/eRf/+/WUm4aoMiUQiE+jExcXhu+++Q1xcHHbu3Inhw4cDKJvUz9zcvMLx9c/+/4thZc/3xeehaFt5VX1e1tbW4qRnp06dwuHDhwGU9dwYP3483nvvvZeW/0Xp6emYOHEisrKysGjRInGCxvIUtUD36dMHhoaG6N69OzQ1NbF9+3b8+eef2LlzJ9TU1ODh4YFPP/20wjHUUocPH8bs2bOhq6sLb29vWFlZiQGfdGy2lPQZKAu6X3afpT0wlMnPz3+tHg4vMjAwwPr167FhwwacOHECJ0+eBFAWiI4ePRpDhgyplvMo+vxKP4fKtpW80A156dKlCAsLg6WlJTp06IB69eqJL1GCg4NR+Jotna/z2XnZ9b14HUQAgMePa7sE9JZjMK9KCgsZzBPRW0FPTw+lpaXIzMyU+1H75MkTlJaWKvzhmpmZqfB4T548AfBvN2XpvjNmzICvr291Fl1kamqKmTNnYsaMGUhKSkJcXBxCQ0Oxfv16aGpq4sMPP3yt43fr1g0///wz9uzZgyFDhmDPnj0AUKku9hXx9PTExx9/jIULF+Ls2bNiMG9oaCje/5cF9NL7K73vL5KmV7YL9as8ryZNmuD7779HcXExrl27hlOnTmHHjh2YPXs26tWrB3d390odJy0tDZMmTcKjR4/wv//9Dx06dFCY78VW7hd17doVXbt2xbNnz3DhwgVxIrVPP/0UO3bsgKGhYYVl2bBhA7S1tbF582a5XgaHDh2S+bf0nimbI0DRs5HuI50X4U2ytrbGnDlzUFJSglu3buHMmTPYsWMHfvzxR9StWxc9evR4o+VR5MmTJ9i5cyccHR2xYcMGmZbzx48fKx1SUBXV/dkheqlz52q7BO+eESNquwTVisG8KikuLvtDRFTLnJyccOPGDcTHx8t1GZeO7VbUmnnhwgUIgiDTNbegoADXr1+Hjo6OGABJu3JfvHixxoJ5KTU1NTg4OMDBwQEdO3ZE//79cfz48QqDeXV1dZnW/hfVqVMHPXv2RFhYGOLj43HkyBE4OjqiefPm1VJuRV18mzdvjpMnTyIhIUFh67SUvb09dHR0xKXrXjzWy56hIq/zvDQ1NeHi4gIXFxc0aNAA8+bNQ3R0dKWC+bS0NEycOBGPHj3CwoUL0alTpyqdWxF9fX20bdsWbdu2RWlpKfbu3YvLly+LS5e97LmnpqbCwcFBLpDPyMiQ6xavr68PKysrpKSkIDMzU67XysWLF+WO7+zsjMjISFy8ePGNB/NSGhoaYk8RV1dXfPLJJzh+/LgYzEtbml/22agpaWlpEAQBrVu3lqvT55QEReVbxivTG6e6PztEL6OmYK4XovIYzKuSJ0+gxokwqpVQ2wUgUlG9e/fG3r17ERwcjLZt24qtUM+ePRNbv3r37i233927d7F3716Z2exDQkKQmZmJDz74QOwO6+zsDGdnZ/zzzz/o2LEjunfvLnOc0tJSnDt3TuGY/cpIS0vD48ePZZbCA/5tVVM00deL6tati4cPH740z8CBAxEWFoa5c+eioKCgSq3yaWlpiI6ORu/eveVa+fLz87F9+3YAkAl6hwwZgpMnT+Knn35SOpu9mZkZtLS00L17d+zbtw9btmzBxx9/LOaLiYnBqVOn0KBBA7i5uVWqrFV9XleuXEH9+vUV9uoAKnf/pYF8RkYGFi5ciC5dulSqrIrExsbCzc1N7ryKyvOy516/fn2kpKTI1K3nz59jyZIlCrtR9+zZE5s3b0ZwcLDMpHVxcXEKexL07dsXmzZtwrp16+Dm5oZGjRrJbC8oKMDNmzfllmx8Xbdu3YKenp7cEnPK7g8APHz4EA0aNKjWclREOingxYsXZXqnPHz4EKtXr1a4T/nyVmYJver+7BC9FOdSoAowmFclJSVcooKI3gotW7YUl1QaMWIEunbtCkEQEBkZiQcPHmDo0KEKJ2Hz8vLCDz/8gOjoaNjb2+P69es4ffo0LC0t8cknn8jkXbBgASZOnIhvv/0W27dvR9OmTaGtrY0HDx7g4sWLyMrKqtTkXYokJibiyy+/RPPmzdGoUSOYmZkhIyMDx44dg4aGBkZUohuep6cnDh8+jK+//hoSiQQaGhpo166dzCSCjRs3hqurKy5evAgdHZ0qzaKdm5uLpUuXYtWqVXB3d0ejRo2go6ODjIwMnDhxAk+fPkXTpk0xdOhQcZ927drB398fISEh8PX1RefOnWFqaoqMjAzExsbC398ffn5+AIBJkyYhISEBmzZtwsWLF+Hs7CyulV2nTh1xLfPKqsrzOnDgAHbu3AkPDw80aNAA+vr6uHPnDk6dOgVjY2O5FQ8UmThxIu7fvw8XFxfcvHkTN2/elMtT2eXGVqxYgQcPHqBly5awsrKCmpoazp8/jytXrsDV1VUmMHvZc/f19cXSpUvx4YcfomvXrigpKUFMTAyAsmEFL04KOWrUKBw9ehRhYWG4efMm3N3d8fDhQxw+fBgdOnTAiRMnZJ6BiYkJFixYgG+++QajRo2Ct7c37OzsUFhYiPT0dCQkJMDNza3Sc2K8bGk6oGxOAWtra8TGxmLFihVwc3ODnZ0djIyMkJqaihMnTkBHR0dmzLynpydCQkKwePFi+Pj4QFdXF5aWlujZs2elyvQ66tWrh65du+Lo0aMYM2YMWrduLS4H6enpidTUVLl9PD09ceTIEcyaNQtt27aFjo4OGjdujPbt2ys9T3V/doiUYo9cqgCDeVUiCGV/iIjeAjNmzICTkxPCw8Px559/AgAaNWqEcePGoW/fvgr3cXFxwZgxY7Bu3Tps375dbOWaPHmyXCu5tbU1tm7dim3btiEqKgp79+6FhoYGzMzM0KJFC/j4+Lxy2Zs1a4bx48fj5MmTiI6ORm5uLszMzODl5QV/f3+FM7a/aPr06QDKWlGPHTuG0tJSmJqayq0I0KdPH1y8eBFdu3at1LhrKXt7eyxatAhnzpzB5cuX8ffffyMnJwf6+vpwcHBAly5dMGjQILnW5ClTpsDFxQVhYWE4evQoCgsLYWZmhlatWsmsvW5iYoLg4GBs3LgRUVFROHfuHAwMDNCpUycEBARUuRt3VZ5X9+7dUVhYiAsXLuDq1asoLCyEhYUFBg8eDH9/f6XLi5UnnUzu0qVLMisVlFfZYH706NGIjIzE9evXcebMGWhqasLa2hqTJ0/G4MGDZbpfv+y5DxkyBJqamggNDcWePXtgYGCAdu3aYcKECZg1a5bcefX19bF27VqsXr0ax48fx9WrV+Hg4ID58+eLwfKLy921b98eW7duxW+//YbY2FjExMRAV1cX5ubm6Nu3b5VeGL1saTqgbGZ2a2treHl5wdfXFwkJCYiMjER+fj7Mzc3RrVs3jBw5Eg4ODuI+7dq1w+TJk7F79278+uuvKC4uRsuWLd9IMA8A3377LaysrHD06FGEhobC0tISfn5+GD16tML5FPr374/09HQcOnQImzdvRklJCXr37v3SYL66PztESuXl1XYJ6C2nJgj/7ehQ2WRMbyOT995DFrvZVyvh+PHaLsI7x8TERKU+V/RmxMXFYdKkSQgICKh0gFXT3lRdXbJkCcLDw7FmzZoKl4wjkpo7dy4OHDiA/fv3v9ISeURvGv//X/3UqmEeEJJlfPGiytRTZSsAlVfllvndu3cjLi4Oly5dwo0bN1BUVIRFixZh0KBBcnlXrlyJVatWKTyOtra2wsldgLJ1eLds2YKbN29CS0sLLVq0wNSpU+Hq6qowf1JSEpYtW4YzZ84gLy8PdnZ2GDZsGEaMGPFudXNiyzwRkUrJzMzEX3/9BXt7ewbypNCjR49Qr149mbT4+HgcOnQIdnZ2aNy4scr88CSiasbf/VSBKgfzP//8M1JTU2FiYgILCwuF449eNHDgQNjY2MikKZsxdO3atVi2bBmsra3h5+eHvLw8REREYPjw4QgODoaXl5dM/ps3b8LPzw8FBQXo1asXLC0tERUVhQULFuD69etYsGBBVS+RiIjotURHR+P69es4cuQI8vPzERAQUNtForfU9OnToaOjgyZNmkBXVxd37tzB6dOnoa6uLnbpJyIiUqTKwfzChQthZ2cHGxsbBAUFYenSpRXuM3DgQLkgXJGkpCSsXLkS9vb2CAsLE8cWjho1Cr6+vpg9ezb++usvaGr+W+zvvvsOOTk5CAoKQufOnQEA06ZNw7hx47Bjxw706dNHXE6GiIjoTTh8+DD2798Pc3NzTJgwQW52dyKp3r1748CBAzh06BCePXsGQ0NDdOjQAaNHj672WemJSMWwZZ4qUOVgvl27djVRDgBAeHg4iouLMWHCBJlJgpo0aYL+/fvjjz/+wOnTp8UJTO7cuYPY2Fh4eXmJgTxQtmzIZ599hlOnTiE0NJTBPBFRLfP09FS41Na7as6cOZgzZ05tF4NUgJ+fn7jCABERUVW8kQHlZ8+exfr167Fx40ZERkaiUMkkbtLlWxTNINqxY0cAZWvBvphf0eykbm5uqFu3rpiHiIiIiIiI6F3xRpamW7Fihcy/zc3NsXjxYrmgPSkpCXp6ejA3N5c7hp2dnZinfP7y28pTU1ODra0tLl26hPz8fOjq6r7mVRARERERERG9HWo0mG/WrBkWL16M1q1bo169erh//z4iIiKwbt06TJgwATt27EDTpk3F/Lm5uUqXX5Gus5qbmyuTH4DSdXul++Tk5CgN5o2MjFRqxntjbe3aLsK7pRJLPlDVVWYpDaK3AesqqQLWU1IVrKvVjL/7a8S7VE9rNJjv1q2bzL/t7OwwceJE1KtXD99++y1Wr14t12r/pmVnZ9fq+avCBOA689VM4HI/1Y7rzJKqYF0lVcB6SqqCdbX6qfF3f7UzBlSmnlbmpUOtNEkPGDAAmpqaiI+Pl0k3MDBATk6Own2krfDS1vbyf6/KPkRERERERESqrlaCeW1tbejr66OgoEAm3d7eHnl5ecjIyJDb5+7du2Ke8vnLbytPEAQkJyfDwsICenp61Vd4IiIiIiIiolpWK8F8UlISsrOzYWNjI5PeunVrAEB0dLTcPsePH5fJAwBt2rQBAJw4cUIu/4ULF/D06VMxDxEREREREdG7osaC+dzcXFy7dk0uPTs7G7NmzQIA9OnTR2bboEGDoKmpiTVr1sh0nU9MTMTu3btha2srs2a8g4MDWrdujTNnzuDYsWNielFREZYvXw4A8PX1rc7LIiIiIiIiIqp1VZ4ALzQ0FHFxcQCAGzduiGnS9dy7deuGbt26ISsrC/3794eLiwskEgnMzMzw4MEDREVFISsrC+3bt8eYMWNkju3g4IDJkydj+fLl6NevH3r27Im8vDxERESguLgYCxYsgKambJG/++47+Pn5YdKkSXj//fdhYWGB48eP4/r16/D19ZUJ/omIiIiIiIjeBVUO5uPi4rBr1y6ZtPj4eHEyOxsbG3Tr1g3Gxsbw9/fHuXPncPToUXF5OIlEgn79+sHX1xcaGhpyx58wYQJsbGywZcsWbNu2DVpaWmjZsiWmTp0KNzc3ufyOjo4IDQ3FsmXLEBUVhby8PNjZ2WH27Nnw9/ev6uURERHJ2LdvHxYuXIjZs2ejb9++tV0cIpU2YMAAAMCff/5Zq+WoLG9vb7Rs2RJr1qyp7aIQEcmpcjD//fff4/vvv68wn4GBAebMmfNKherXrx/69etX6fwODg61vsQdEam+9HS12i6CUlZWwmsfIy0tDYMGDZJJ09TUhKmpKVq0aIFRo0ahSZMmr32e/4o39SP//Pnz2L59Oy5evIjMzEzo6urC1NQUTk5O8PLykhuy9l/x5MkT7N27F9euXcO1a9eQnp4OADh9+nSNnvddCe4GDBiA+/fvvzTPP//8A0NDwyodd/78+di/fz/Cw8NhbW39OkV8IyZMmICEhIQarzdERDWhRteZJyKit0+DBg3Qs2dPAEB+fj4uXbqEgwcPIjIyEqtWrVLYC+q/rEuXLnBxcUG9evXe+Ln37duH//u//4OGhgbatWuHhg0b4vnz50hNTcXJkyeRkJDwnw3m79y5gzVr1kBNTQ0NGzZEnTp15FbJoZfT0NCQG/JYnra2drWfc9WqVdV+zJr0xx9/oE6dOrVdDCIihRjMExH9xzRo0ADjxo2TSVu7di02b96MtWvXYvXq1bVUsreTgYEBDAwM3vh5CwoK8NNPP0FPTw9BQUFo3LixzPbi4mJxDpv/Int7e6xZswYSiQT6+voYNmyYwqVqSTkNDQ2574Ka1qBBgzd6vtdVfklkIqK3DYN5IiKCr68vNm/ejKtXr4pp0u7E8+bNw9q1a3H69GlkZmZi1apV8PT0BABEREQgPDwct2/fBgA0atQIgwYNkmstjouLw6RJkxAQEIBWrVohKCgI165dg5aWFry9vTF58mRYWFjIlevJkyfYunUrTpw4gQcPHkBPTw8tW7bEuHHj5IJb6Vjcbdu2Yd26dTh8+DCysrJga2uLgIAA+Pj4yOTPyclBUFAQjhw5ggcPHkBdXR316tWDi4sLxo8fD0tLSwDyY+al1wIACQkJMhOtzp49GwCwcOFCTJ48GSNHjpS7ppMnT2L69OkYOnQopk+frvSZ3Lp1C3l5eejUqZPctQJlQyS8vLwU7hsVFYWdO3fi6tWrKCgokBlKUf5Y2dnZ2LRpE44dO4ZHjx7BwMAAHh4eCAwMhIODg8wxpd2nd+7ciaioKOzZswcpKSno3r27OKyuKs8rOTkZW7ZsQXx8PB4/fgxdXV1YWlrC09MTn376qdL7ImVmZgYzM7MK81VWXFwcfv31V9y8eRPZ2dkwMjJCw4YN0atXL/Tv37/C5963b1/k5uYiPDwcp06dwr1795CVlQVjY2O0bt0aAQEBCgPZrKwsrFmzRpz3p1GjRvjwww+Rm5uLhQsXYtGiRejatavMPomJidiyZQsSEhKQnZ2NevXqoUOHDhg3bhyMjIyq7Z6U9+jRI2zduhUnT55ERkYGdHR0YG5uDnd3d0yaNAn6+voyXffLD+kpPyxB0Zj59evXIzg4GL/88gvS09Oxbds2pKSkwNTUFH5+fhg2bBgEQcCOHTsQHh6O9PR0WFpaYuzYsXj//fdlypmcnIzdu3cjNjYW9+/fR0FBASwtLdGlSxd89NFH0NPTE/OWf4bl/967d2+xTisbVvEqn53w8HCcPHkSoaGhSE9Ph6mpKfr27YuxY8dCXb1WVosmIhXHYJ6IiKCmpni+gKdPn2LcuHGoW7cuunXrhqKiIujr6wMAli9fjj/++APm5ub44IMPoKamhqNHj2LBggVITEzEtGnT5I53+fJlbN26Fe3atcPQoUNx/fp1HDx4EOfPn8fGjRtlgrOUlBRMnDgRGRkZ8PLyQqdOnZCZmYmjR4/izJkzWLlyJVxcXGSOX1JSgqlTp+Lp06fo3Lkznj9/jn/++QezZs3C8uXLxeBXEAQEBATg/PnzcHNzg7e3N9TV1ZGeno5jx46hd+/eYjD/IisrKwQEBCA4OBj169eXeXEhkUhga2uL5cuXY8+ePQqD+d27dwNAhXPD1K1bF0DZXAelpaWV/rG/cuVKhISEoG7duujcuTNMTEzw4MEDxMbGomnTpmJQnZ2djYCAAKSkpMDDwwPdu3dHeno6jhw5gpMnT2LFihVwdXWVO/7SpUtx6dIltG/fHu3bt4epqSmAqj2vjIwMBAQEID8/H+3bt4etrS3y8/Nx7949hIaGViqYr07R0dGYOXMmDA0N0bFjR9SrVw+ZmZlITEzEgQMH0L9//wqfOwAkJSVh/fr18PT0ROfOnVGnTh3cvXsXBw8eRHR0NLZs2QIrKytxv7y8PEyYMAF37tyBu7s73N3dkZGRgTlz5qBNmzYKyxoVFYXZs2dDXV0dHTt2hIWFBZKSkhAWFoYzZ84gODhYrDvVpaCgAOPHj0d6ejq8vLzQuXNnFBcXIzU1FRERERg5ciT09fXh5+eHiIgIJCYmYtiwYWKPlvLX/DLbt29HfHw8OnXqBE9PTxw9ehTLli1DnTp1kJiYiCNHjqB9+/bw9PTEoUOHMG/ePFhZWaFFixbiMSIjI7F37154enrCw8MDgiDg0qVL+PXXX5GQkIC1a9eKKyMFBAQgIiIC9+/fR0BAgHgM6fNU5lU/O6tWrUJ8fDzat28PLy8vREVFYcOGDSgqKsKECRMqdY+IiMpjME9ERNixYwcAoFmzZjLpt27dQt++ffH111/LrEBy7tw5/PHHH7C3t8eGDRvEH+3jxo1DQEAA/vjjD3Tp0kXmRzZQNjnZN998IxPIBgcHY/369Vi7di1mzZolps+bNw+PHz+WCcIB4KOPPsKYMWOwaNEihISEyBw/IyMDzZo1w+rVq6GlpQUA6NGjB6ZMmYJt27aJx7l16xbOnz+Pzp07Y/HixTLHKCwsRHFxsdJ7ZW1tjXHjxiE4OBhWVlYKuyn36tULYWFhSEhIQMuWLcX0J0+eIDo6Gs7OznB0dFR6DqCsO7KTkxOuX7+OSZMmoU+fPnB2doatra3C1WCAslb/kJAQNG7cGKtXr5ZppS0uLkZ2drb471WrViElJQUffvihTCDRp08fTJs2DfPnz8f27dvlXiLcvHkTW7duRf369WXSq/K8pKvcfPbZZxg2bJjMcbKysl56X2rC3r17IQgCfvnlF7lJIKX3rDLP3d7eHvv27ZNrHY+Li8OUKVOwadMmfPPNN2L6r7/+ijt37mDIkCGYOXOmmN63b1+xF8CLZZk3bx6MjY0RFBQk8wwOHjyIOXPmICgoSOZYL1NSUoL169cr3GZmZia2rsfGxiItLQ1+fn5yL+mePXsmjq338/PDjRs3xGC+qhPgnTt3Dlu2bIGNjQ0AwN/fH0OGDMHKlSthamqKkJAQmJiYACirpwEBAQgJCZH5nunVqxeGDx8ufv6lpN8zhw4dQq9evQCUfV/Fx8fj/v37VRpu8KqfnWvXruG3334T598YO3YsfH19ERoaisDAQLkyExFVhH16iIj+Y1JSUrB+/XqsX78eK1aswPjx47F582bo6OjItQ5paWlh8uTJcsFjREQEACAwMFBmPLmBgQECAwNl8pRnZ2eHDz74QCbN398fJiYmOHjwIIqKigAA169fx8WLF9G7d2+5ruS2trbo378/bt26hVu3bsmdY9q0aTI/ilu3bo369evjypUrcnl1dHTk0rS1tWW64r4KaVfiPXv2yKTv378fxcXF6N+/f4XHUFNTw//+9z+4uroiISEBCxcuxPDhw/Hee+9h8uTJ2LdvH0pKSmT2CQsLAwBMnz5dLqDU1NQUez4UFRXh4MGDMDIywkcffSSTz9vbG97e3rh37x4uXLggVy5/f3+5QP5Vn5ei+29sbPySu1KzFJWnKt3WDQwMFOb39PSEg4MDYmNjZdL//vtvaGtry7QKS/OX7/YttX//fjx79gwTJkyQewY9evSAk5MTDh06VOnylpSUIDg4WOGfF5chBhTfH319/WoLQocOHSoG8gBgaWkJd3d35ObmYsyYMWIgDwDOzs6wsbFBYmKizDEsLCwUlmfIkCEAIPcMqup1Pjtjx46VmUjT2NgYHTt2RF5eHud7IKJXwpZ5IqL/mJSUFAQHBwP4d2m6Hj16YPTo0XKtxdbW1gqDq+vXrwMAPDw85LZJ0178kQ0Abm5ucl3669SpAycnJ5w+fRrJyclo3LgxLl26BKCsJVtRy6H0h+/du3dlxmIbGhoqbA20sLAQjwmUtaBKJBIcPHgQDx8+RKdOndCiRQs4OTkpbfWuCkdHR7i6uuLIkSOYMWOG+MJj79690NPTQ7du3Sp1HBsbG6xfvx43btxAbGwsrly5gosXL+Ls2bM4e/Ys/vrrLyxbtkxsGb1y5Qq0tbVlegMokpSUhOfPn8PDw0PhTN0eHh44ffo0EhMT5XpXODs7y+Wv6vPq0KEDVq9ejR9//BGxsbHw9vaGu7s7bG1tK3VfXoWicvn5+cHQ0BDvvfceIiMjERgYiO7du8PT0xMtWrQQhxBURVxcHLZv347Lly8jKytL5oVL+SDz2bNnSE9PR6NGjWSCVClXV1e55dKk9/ny5ctISUmR26ewsBBZWVniWP2KaGtrIyoqqsJ8LVu2hJmZGbZu3YrExES0a9cO7u7ucHR0VDpE51Uo6t4ufQGlaNlMMzMzXL58WSZNEATs27cPERERuH37NnJzc1FaWipuf/To0WuV8XU+O05OTnL5pXOF5Obmvla5iOi/icE8EdF/jLe3N5YvX16pvMqCmby8PKirqysMQkxNTaGurq7wx6mi/OXPI93n6dOnAMrGMkdHRystX35+vsy/peP5X6ShoSHzg15TUxNbtmzB0qVLERkZiRUrVgAoaynz9fXFmDFjXjuo79+/PxYuXIi///4bQ4YMwblz53D37l3079+/yi3/EolEJtCJi4vDd999h7i4OOzcuRPDhw8HUDapn7m5eYXj6589ewZA+fN98Xko2lZeVZ+XtbW1OOnZqVOncPjwYQBlPTfGjx+P995776XlfxXSF1jl9enTB4aGhujevTs0NTWxfft2/Pnnn9i5cyfU1NTg4eGBTz/9tMIx1FKHDx/G7NmzoaurC29vb1hZWYkBn3RstpT0GSgLul92n6U9MJTJz8+v1h4OBgYGWL9+PTZs2IATJ07g5MmTAMoC0dGjR4ut3q9L0edX+jlUtu3F3ilLly5FWFgYLC0t0aFDB9SrV098iRIcHIzCwsLXKuPrfHZedn0vXgcRUWUwmCcioirT09NDaWkpMjMz5X7UPnnyBKWlpQp/uGZmZio83pMnTwBAbMGW7jtjxgz4+vpWZ9FFpqammDlzJmbMmIGkpCTExcUhNDQU69evh6amJj788MPXOn63bt3w888/Y8+ePRgyZIjY5b4yXewr4unpiY8//hgLFy7E2bNnxWDe0NBQvP8vC+il91d6318kTVf2ckTZ8aryvJo0aYLvv/8excXFuHbtGk6dOoUdO3Zg9uzZqFevHtzd3St1nMp6sZX7RV27dkXXrl3x7NkzXLhwQZxI7dNPP8WOHTtgaGhY4Tk2bNgAbW1tbN68Wa6XwYvd36X3TNkcAYqejXQf6bwIb5K1tTXmzJmDkpIS3Lp1C2fOnMGOHTvw448/om7duujRo8cbLY8iT548wc6dO+Ho6IgNGzbItJw/fvxY4Qudqqruzw4R0evgmHkiIqoyaXfR+Ph4uW0JCQkAFHeZvXDhAgRBkEkrKCjA9evXoaOjIwZA0q7cFy9erNZyK6KmpgYHBwcMGTJEbKE/fvx4hfupq6vLtPa/qE6dOujZsydu3LiB+Ph4HDlyBI6OjmjevHm1lFtRF9/mzZujsLBQfAbK2NvbQ0dHR1y67kUve4aKvM7z0tTUhIuLC8aNG4fp06dDEISXtu7XNH19fbRt2xZff/01+vTpg8zMTJmu3C977qmpqbC3t5cL5DMyMuS6xevr68PKygopKSkKX3Ipupdv8nOhjIaGBiQSCUaNGoUFCxYAkP28SFuaX/bZqClpaWkQBAGtW7eW+3ycO3dO4T5VbRmv7s8OEdHrYDBPRERV1rt3bwBl3Val3U6Bsi6o0tYvaZ7y7t69i71798qkhYSEIDMzEz169BC7wzo7O8PZ2Rn//PMP/vnnH7njlJaWKnyRUFlpaWm4efOmXLq0VU3RRF8vqlu3Lh4+fPjSPAMHDgQAzJ07FwUFBVVqlU9LS0NoaKjM/ZXKz8/H9u3bAUCmBVva3fmnn36SmbkeKJvN/vHjxwDKxm53794dWVlZ2LJli0y+mJgYnDp1Cg0aNICbm1ulylrV53XlyhWFLZtVuf/VKTY2Fs+fP69UeV723OvXr4+UlBTxPgPA8+fPsWTJEoXBYs+ePVFYWCjXYhwXF6ewJ0Hfvn2hp6eHdevW4fbt23LbCwoKZOaGqC63bt1Cenq6XLqy+wOgws9GTZBOCnjx4kWZlwkPHz7E6tWrFe5T1fJW92eHiOh1sJs9ERFVWcuWLcUllUaMGIGuXbtCEARERkbiwYMHGDp0qMJJ2Ly8vPDDDz8gOjoa9vb2uH79Ok6fPg1LS0t88sknMnkXLFiAiRMn4ttvv8X27dvRtGlTaGtr48GDB7h48SKysrIqNXmXIomJifjyyy/RvHlzNGrUCGZmZsjIyMCxY8egoaGBESNGVHgMT09PHD58GF9//TUkEgk0NDTQrl07mUkEGzduDFdXV1y8eBE6OjrikliVkZubi6VLl2LVqlVwd3dHo0aNoKOjg4yMDJw4cQJPnz5F06ZNMXToUHGfdu3awd/fHyEhIfD19UXnzp1hamqKjIwMxMbGwt/fH35+fgCASZMmISEhAZs2bcLFixfh7OwsrpVdp04dcS3zyqrK8zpw4AB27twJDw8PNGjQAPr6+rhz5w5OnToFY2NjuRUPlJk/f774d+nEZuXTpk6dWqmx4ytWrMCDBw/QsmVLWFlZQU1NDefPn8eVK1fg6uoqE5i97Ln7+vpi6dKl+PDDD9G1a1eUlJQgJiYGQNmwghcnhRw1ahSOHj2KsLAw3Lx5E+7u7nj48CEOHz6MDh064MSJEzLPwMTEBAsWLMA333yDUaNGwdvbG3Z2digsLER6ejoSEhLg5uZW6TkxXrY0HVA2p4C1tTViY2OxYsUKuLm5wc7ODkZGRkhNTcWJEyego6MjM2be09MTISEhWLx4MXx8fKCrqwtLS0v07NmzUmV6HfXq1UPXrl1x9OhRjBkzBq1btxaXg/T09ERqaqrcPp6enjhy5AhmzZqFtm3bQkdHB40bN0b79u2Vnqe6PztERK+KwTwR0f9nZSVUnIlEM2bMgJOTE8LDw/Hnn38CABo1aoRx48ahb9++CvdxcXHBmDFjsG7dOmzfvl1s5Zo8ebI4a7WUtbU1tm7dim3btiEqKgp79+6FhoYGzMzM0KJFC/j4+Lxy2Zs1a4bx48fj5MmTiI6ORm5uLszMzODl5QV/f3+FM7a/aPr06QDKWlGPHTuG0tJSmJqayq0I0KdPH1y8eBFdu3at1LhrKXt7eyxatAhnzpzB5cuX8ffffyMnJwf6+vpwcHBAly5dMGjQILlW7ClTpsDFxQVhYWE4evQoCgsLYWZmhlatWqFNmzZiPhMTEwQHB2Pjxo2IiorCuXPnYGBggE6dOiEgIKDKY7Kr8ry6d++OwsJCXLhwAVevXkVhYSEsLCwwePBg+Pv7izN8V2T//v0vTQsMDKxUMD969GhERkbi+vXrOHPmDDQ1NWFtbY3Jkydj8ODBMpMhvuy5DxkyBJqamggNDcWePXtgYGCAdu3aYcKECZg1a5bcefX19bF27VqsXr0ax48fx9WrV+Hg4ID58+eLwXL5pR8BoH379ti6dSt+++03xMbGIiYmBrq6ujA3N0ffvn2r9MJIujSdMh4eHrC2toaXlxd8fX2RkJCAyMhI5Ofnw9zcHN26dcPIkSPh4OAg7tOuXTtMnjwZu3fvxq+//ori4mK0bNnyjQTzAPDtt9/CysoKR48eRWhoKCwtLeHn54fRo0ejQ4cOcvn79++P9PR0HDp0CJs3b0ZJSQl69+790mC+uj87RESvSk14cfDif4yyyZjeRiY+Psh6zVlYSZZw4kRtF+GdY2JiolKfK3oz4uLiMGnSJAQEBGDcuHG1XRwAb66uLlmyBOHh4VizZk2FS8YRSc2dOxcHDhzA/v37X2mJPKI3jf//r35qCl5A0esxvnxZZeqpshWAymMfICIiohqSmZmJv/76C/b29gzkSSFF657Hx8fj0KFDsLOzYysvEREpxW72RERE1Sw6OhrXr1/HkSNHkJ+fj4CAgNouEr2lpk+fDh0dHTRp0gS6urq4c+cOTp8+DXV1dbFLPxERkSIM5omIiKrZ4cOHsX//fpibm2PChAno3r17bReJ3lK9e/fGgQMHcOjQITx79gyGhobo0KEDRo8eDRcXl9ouHhERvcU4Zl5FxkwAHDNfEzhmvvpxzBypCtZVUgWsp6QqWFerH8fMVz+OmSciIiIiIiKiWsVgnoiIiIiIiEjFMJgnIiIiIiIiUjEM5omIiIiIiIhUDIN5IiIiIiIiIhXDYJ6IiIiIiIhIxTCYJyIiIiIiIlIxDOaJiIiIiIiIVAyDeSIiIiIiIiIVw2CeiIiIiIiISMUwmCciIiIiIiJSMQzmiYiIiIiIiFQMg3kiIiIiIiIiFaNZ1R12796NuLg4XLp0CTdu3EBRUREWLVqEQYMGyeQrKirCkSNHcPToUZw/fx7p6elQU1ODo6MjBgwYAD8/P2hoaMjsk5KSgvfee0/puX/66Sf06dNHLj0pKQnLli3DmTNnkJeXBzs7OwwbNgwjRoyAujrfVxAREREREdG7pcrB/M8//4zU1FSYmJjAwsICqampCvMlJydj6tSp0NfXh7e3N3x8fJCTk4OjR49i/vz5OH78ONasWQM1NTW5fZs2bYpu3brJpTdp0kQu7ebNm/Dz80NBQQF69eoFS0tLREVFYcGCBbh+/ToWLFhQ1UskIiIiIiIieqtVOZhfuHAh7OzsYGNjg6CgICxdulRhPgMDA8ydOxcDBw6Erq6umJ6Xl4dRo0bh6NGj+Pvvv/H+++/L7dusWTNMmTKlUuX57rvvkJOTg6CgIHTu3BkAMG3aNIwbNw47duxAnz594O3tXdXLJCIiIiIiInprVbkPert27WBjY1NhPktLS4wYMUImkAcAPT09fPTRRwCA2NjYqp5exp07dxAbGwsvLy8xkAcALS0tfPbZZwCA0NDQ1zoHERERERER0dumyi3z1XJSzbLTvjhmXurhw4f4/fffkZOTAwsLC7Rt2xb169eXyxcTEwMA6NChg9w2Nzc31K1bV8xDRERERERE9K6olWB+586dABQH4QAQHR2N6Oho8d+ampoYNWoUvvjiC5kJ7ZKSkgAAdnZ2csdQU1ODra0tLl26hPz8fLkeAkRERERERESq6o0H89u3b0dUVBS8vb1lusYDgK6uLiZPnozu3bujQYMGKCwsxLlz5/Djjz9i06ZN0NLSwowZM8T8ubm5AABDQ0OF5zIwMAAA5OTkKA3mjYyMVGrGe2Nt7douwrvFxKS2S/BOMuF9JRXBukqqgPWUVAXrajXj7/4a8S7V0zcazEdGRmLBggWwsbHBDz/8ILfdzMxMbuI7Hx8fuLq6om/fvti0aRMCAwNhZGRUbWXKzs6utmPVNBMAWYWFtV2Md4qQmVnbRXjnmJiYIJP3lVQA6yqpAtZTUhWsq9VPjb/7q50xoDL1tDIvHd5Yk/Tx48cxZcoUmJmZYcuWLbCwsKj0vubm5ujcuTOKiopw8eJFMb18y7si0pZ7aT4iIiIiIiKid8EbCeajoqIwadIkmJiYYOvWrWjYsGGVjyF9M1FQUCCm2dvbAwDu3r0rl18QBCQnJ8PCwgJ6enqvVnAiIiIiIiKit1CNB/PSQL5u3brYunWrwsnqKuPChQsAILMsXps2bQAAJ06cUJj/6dOnYh4iIiIiIiKid0WNBvPSQN7IyAhbt24VW9KVuXDhAoqKiuTSN23ahPj4eDg6OqJp06ZiuoODA1q3bo0zZ87g2LFjYnpRURGWL18OAPD19a2WayEiIiIiIiJ6W1R5ArzQ0FDExcUBAG7cuCGmSddz79atG7p164Zbt25h0qRJKCwsRJs2bRARESF3LBsbGwwaNEj89w8//IDbt2+jdevWsLKyQkFBAc6dO4crV67AyMgIS5YsgZqamswxvvvuO/j5+WHSpEl4//33YWFhgePHj+P69evw9fWFt7d3VS+RiIiIiIiI6K1W5WA+Li4Ou3btkkmLj49HfHw8gLIAvVu3bnj06BEK//8MjIoCeaCsm3z5YL5fv344cOAAEhIScOTIEQCAtbU1Ro8ejYCAANSvX1/uGI6OjggNDcWyZcsQFRWFvLw82NnZYfbs2fD396/q5RERERERERG99dQEQRBquxC1SVWWJgAAEx8fLk1XzQQF8y3Q6+HSNKQqWFdJFbCekqpgXa1+ah061HYR3jnGly+rTD19q5amIyIiIiIiIqLqwWCeiIiIiIiISMUwmCciIiIiIiJSMQzmiYiIiIiIiFQMg3kiIiIiIiIiFcNgnoiIiIiIiEjFMJgnIiIiIiIiUjEM5omIiIiIiIhUDIN5IiIiIiIiIhXDYJ6IiIiIiIhIxTCYJyIiIiIiIlIxDOaJiIiIiIiIVAyDeSIiIiIiIiIVw2CeiIiIiIiISMUwmCciIiIiIiJSMQzmiYiIiIiIiFQMg3kiIiIiIiIiFcNgnoiIiIiIiEjFMJgnIiIiIiIiUjEM5omIiIiIiIhUDIN5IiIiIiIiIhXDYJ6IiIiIiIhIxTCYJyIiIiIiIlIxDOaJiIiIiIiIVAyDeSIiIiIiIiIVw2CeiIiIiIiISMUwmCciIiIiIiJSMQzmiYiIiIiIiFQMg3kiIiIiIiIiFcNgnoiIiIiIiEjFMJgnIiIiIiIiUjGaVd1h9+7diIuLw6VLl3Djxg0UFRVh0aJFGDRokML8ubm5WLlyJQ4ePIiMjAyYm5ujR48emDJlCgwMDBTus3fvXmzZsgU3b96ElpYWWrRogalTp8LV1VVh/qSkJCxbtgxnzpxBXl4e7OzsMGzYMIwYMQLq6nxfQURERERERO+WKke6P//8M7Zv3460tDRYWFi8NG9eXh5GjhyJzZs3w8HBAWPGjEHjxo2xefNmjBw5Enl5eXL7rF27FjNnzsTjx4/h5+eH999/H/Hx8Rg+fDjOnDkjl//mzZsYMmQIDh8+jA4dOmDUqFEAgAULFmDu3LlVvTwiIiIiIiKit16VW+YXLlwIOzs72NjYICgoCEuXLlWad8OGDbh69SoCAwPx+eefi+krVqzAL7/8gg0bNmDq1KlielJSElauXAl7e3uEhYXB0NAQADBq1Cj4+vpi9uzZ+Ouvv6Cp+W+xv/vuO+Tk5CAoKAidO3cGAEybNg3jxo3Djh070KdPH3h7e1f1MomIiIiIiIjeWlVumW/Xrh1sbGwqzCcIAkJDQ6Gnp4dJkybJbPv4449hZGSEsLAwCIIgpoeHh6O4uBgTJkwQA3kAaNKkCfr374/k5GScPn1aTL9z5w5iY2Ph5eUlBvIAoKWlhc8++wwAEBoaWtVLJCIiIiIiInqr1diA8qSkJDx8+BAeHh7Q09OT2aajo4NWrVrhwYMHuHv3rpgeExMDAGjfvr3c8Tp27AgAiI2NlcvfoUMHufxubm6oW7eumIeIiIiIiIjoXVFjwbw0SLe3t1e43c7OTiYfUPYCQE9PD+bm5krzJyUlyeQvv608NTU12Nra4uHDh8jPz3+VSyAiIiIiIiJ6K1V5zHxl5eTkAIDSGeul6dJ8QNnM96ampi/Nn5ubK5MfgEyXfGXn0NXVVZjHyMhIpWa8N9bWru0ivFtMTGq7BO8kE95XUhGsq6QKWE9JVbCuVjP+7q8R71I9rbFgXlVkZ2fXdhEqzQRAVmFhbRfjnSJkZtZ2Ed45JiYmyOR9JRXAukqqgPWUVAXravVT4+/+amcMqEw9rcxLhxprkpa2lpdvSS9PUau6gYGBTEu9ovzlW/oVte5XtA8RERERERGRqquxYF7RGPfypGPly493t7e3R15eHjIyMpTmLz8GX/r38uPupQRBQHJyMiwsLOQm4CMiIiIiIiJSZTUWzNvb28PCwgLx8fHIy8uT2fb8+XOcPXsWFhYWMsF869atAQDR0dFyxzt+/LhMHgBo06YNAODEiRNy+S9cuICnT5+KeYiIiIiIiIjeFTUWzKupqcHX1xd5eXn45ZdfZLatW7cO2dnZ8PX1hZqampg+aNAgaGpqYs2aNTJd5xMTE7F7927Y2trC29tbTHdwcEDr1q1x5swZHDt2TEwvKirC8uXLAQC+vr41dIVEREREREREtaPKE+CFhoYiLi4OAHDjxg0xTbqee7du3dCtWzcAQGBgII4cOYINGzbg6tWrcHZ2xrVr1xAVFYVmzZohMDBQ5tgODg6YPHkyli9fjn79+qFnz57Iy8tDREQEiouLsWDBAmhqyhb5u+++g5+fHyZNmoT3338fFhYWOH78OK5fvw5fX1+Z4J+IiIiIiIjoXVDlYD4uLg67du2SSYuPj0d8fDwAwMbGRgzm9fT08Ouvv2LVqlU4cOAAYmJiUK9ePYwZMwaTJ09WOJZ9woQJsLGxwZYtW7Bt2zZoaWmhZcuWmDp1Ktzc3OTyOzo6IjQ0FMuWLUNUVBTy8vJgZ2eH2bNnw9/fv6qXR0RERERERPTWUxMEQajtQtQmVVmaAABMfHy4NF01ExTMt0Cvh0vTkKpgXSVVwHpKqoJ1tfqpdehQ20V45xhfvqwy9bRWl6YjIiIiIiIioprBYJ6IiIiIiIhIxTCYJyIiIiIiIlIxDOaJiIiIiIiIVAyDeSIiIiIiIiIVw2CeiIiIiIiISMUwmCciIiIiIiJSMQzmiYiIiIiIiFQMg3kiIiIiIiIiFcNgnoiIiIiIiEjFMJgnIiIiIiIiUjEM5omIiIiIiIhUDIN5IiIiIiIiIhXDYJ6IiIiIiIhIxTCYJyIiIiIiIlIxDOaJiIiIiIiIVAyDeSIiIiIiIiIVw2CeiIiIiIiISMUwmCciIiIiIiJSMQzmiYiIiIiIiFQMg3kiIiIiIiIiFcNgnoiIiIiIiEjFMJgnIiIiIiIiUjEM5omIiIiIiIhUDIN5IiIiIiIiIhXDYJ6IiIiIiIhIxTCYJyIiIiIiIlIxDOaJiIiIiIiIVAyDeSIiIiIiIiIVw2CeiIiIiIiISMUwmCciIiIiIiJSMZo1fYLw8HB8/fXXL83j7e2NLVu2AABWrlyJVatWKcynra2NixcvKty2d+9ebNmyBTdv3oSWlhZatGiBqVOnwtXV9fUugIiIiIiIiOgtU+PBfLNmzTB58mSF2w4cOIDExER06NBBbtvAgQNhY2Mjk6ahoaHwOGvXrsWyZctgbW0NPz8/5OXlISIiAsOHD0dwcDC8vLxe/0KIiIiIiIiI3hJvJJhv1qyZXHphYSF+++03aGpqYuDAgXLbBw4cWKkgPCkpCStXroS9vT3CwsJgaGgIABg1ahR8fX0xe/Zs/PXXX9DUrPFLJSIiIiIiInojam3M/KFDh5CVlYUuXbqgXr16r3yc8PBwFBcXY8KECWIgDwBNmjRB//79kZycjNOnT1dHkYmIiIiIiIjeCrUWzIeFhQEAfH19FW4/e/Ys1q9fj40bNyIyMhKFhYUK88XExAAA2rdvL7etY8eOAIDY2NjqKDIRERERERHRW6FW+p6npqbi1KlTsLS0FAPuF61YsULm3+bm5li8eLFc0J6UlAQ9PT2Ym5vLHcPOzk7Mo4yRkRHU1VVnUn9jbe3aLsK7xcSktkvwTjLhfSUVwbpKqoD1lFQF62o14+/+GvEu1dNaCebDw8NRWlqKQYMGyU1q16xZMyxevBitW7dGvXr1cP/+fURERGDdunWYMGECduzYgaZNm4r5c3NzYWpqqvA8BgYGYh5lsrOzq+GK3gwTAFlKeijQqxEyM2u7CO8cExMTZPK+kgpgXSVVwHpKqoJ1tfqp8Xd/tTMGVKaeVualwxtvki4tLUV4eDjU1NQwePBgue3dunXDgAEDYGNjAx0dHdjZ2WHixImYNWsWnj9/jtWrV7/pIhMRERERERG9Vd54MB8dHY20tDR4e3ujYcOGld5vwIAB0NTURHx8vEy6gYEBcnJyFO4jbZGXttATERERERERvQveeDBf0cR3ymhra0NfXx8FBQUy6fb29sjLy0NGRobcPnfv3hXzEBEREREREb0r3mgwn5mZicOHD8PY2Bjdu3ev0r5JSUnIzs6GjY2NTHrr1q0BlLX4v+j48eMyeYiIiIiIiIjeBW80mN+9ezeKiorwwQcfQFvB7Iy5ubm4du2aXHp2djZmzZoFAOjTp4/MtkGDBkFTUxNr1qyR6W6fmJiI3bt3w9bWFt7e3tV8JURERERERES1543OZr9z504AyrvYZ2VloX///nBxcYFEIoGZmRkePHiAqKgoZGVloX379hgzZozMPg4ODpg8eTKWL1+Ofv36oWfPnsjLy0NERASKi4uxYMECaGrWyqT9RERERERERDXijUW5Fy5cwI0bN+Dm5gYnJyeFeYyNjeHv749z587h6NGjyMnJga6uLiQSCfr16wdfX1+5pewAYMKECbCxscGWLVuwbds2aGlpoWXLlpg6dSrc3Nxq+tKIiIiIiIiI3ig1QRCE2i5EbVKVdQYBwMTHh+vMVzPhxInaLsI7h+vMkqpgXSVVwHpKqoJ1tfqpdehQ20V45xhfvqwy9fStXGeeiIiIiIiIiF4Pg3kiIiIiIiIiFcNgnoiIiIiIiEjFMJgnIiIiIiIiUjEM5omIiIiIiIhUDIN5IiIiIiIiIhXDYJ6IiIiIiIhIxTCYJyIiIiIiIlIxDOaJiIiIiIiIVAyDeSIiIiIiIiIVw2CeiIiIiIiISMUwmCciIiIiIiJSMQzmiYiIiIiIiFQMg3kiIiIiIiIiFcNgnoiIiIiIiEjFMJgnIiIiIiIiUjGatV0AIiKi2lJSUtslUF0aGrVdAiIiov82BvNERET/H4P7V8PAnoiI6M1jME9ERASgsLDsD1WONIDX0AC0tRnQExERvWkM5omIVBxbk19N+ftWUgJkZAD5+byflSUN3nV1gfr1y16E5OfXbplUUfmXIdratV0aIiJSJQzmiYjeMQxGK6ek5N97VVgIZGeX/eH9qxxpMK+tDRgYlP39yZPaK4+qKX//tLUBI6PaLQ8REakeBvNERO+I8oEpVUzarb6kpCwITU4G8vKA0tLaLplqUP//6+HUqQPY2pbdy9zc2i2TKinfs0FDgy+RiIio6hjMExG9I6TBlDSYZ3DwcsXFQGbmv13sHz4Enj5lMF9Z5YP5+/fLutizZb7y1NXL/tSpA5iblwX1urq1XSoiIlIlDOaJiFRc+Rb53Nx/x30zmH85Qfg3mH/0CDh/Xg05OQzmK0tNrey/mpqAllbZf58+rd0yqRJ19bJ7pqcHGBgI/LwSEVGVMZgnInoHlJSUjfe+c6csoC8tZVBaEX194NmzsvuUm1sWiObm8iVIZZUP5m/fLvs7h3hUnjSYNzUFLC0BG5vaLhEREakaBvNERO+AkpKyMd+xsWp48qSsCzmD+ZcrC+bLItK8vLI/z5+X3TuqWPlgPi2trKcD61zlqamVjZUvLgYKCvgSiYiIqo7BPBHROyA/H8jKKvuTmVkWVAlCbZfq7VZQIDu/QGEhg/mqkAbzxcVATg6D+apSUyt7EaKh8W+vkMJCLk9HRESVx2CeiOgdUFJS1rL89GlZkMpgvmKlpf8G86Wl/wbyDOYrRxrMS4cplJSwzlWFNJjX0ir77ErnuXixhZ7zXygnXRGAiOi/isE8EdE7oLCwbBK3Z8/+nZGdgdXLaWvLjvGWLlPH1uXKkQbzQNm9432rGjW1ss9oYWHZZ/b+/bLZ7F9smX/+vKy3DckyMCgL5rW12ZuBiP67GMwTEb0D8vP/7abLlvnKKd8yL/03W5crTxrMs3v9q5Hev5IS4M4dNejqlr2Q03zhl1n5uR2ojHRJPy2tsgkEmzQRoKvLlnoi+u9hME9E9A4RhH9blxmUvtyL3Zd5z16NIPC+vQppMF9YWPYy7uHDshdxioP5N1++t5m6unRJP6CoCLCyKmudZzBPRP+vvTuPjqo8+Dj+m5nMBMIEEra2prL0hSCIgMgOHhRxqdAICKhVClVa2avnaI+t2L64a49KWRQsohQFFMRDEVFeTltZBMJaBEHFEpaggGQxk4HMdt8/hgkZkkCWO5nMzPdzzj0h9965ee6ch5n7u89znyfR1EmYHzRokHJzcyvcdtddd+nJJ58MW+dyuTR79mytW7dOp0+fVosWLXTLLbdo6tSpcjqdFR5n9erVWrRokQ4dOiS73a5u3bpp2rRpuuaaa0w/HwCoj0LT0YUWAtalXTx9H+8X6lLoJkhoAMHDh4NB3moN3y8lJfhMPYIslgthPi1NatVKysur+BEFAIh3ddYyn5qaqrFjx5Zb37lz57Df3W637rvvPh04cED9+/fXkCFDdPDgQb311lvatm2blixZopSUlLDXzJs3T6+88oquuOIK3X333XK73VqzZo3uuecevfHGG+rdu3dEzw0A6oNQgC+7oHK8R7XDe1dzZR9RCD0z7/UGw7zloh71Z8+GPw6S6CyW4FJcHOzJ0LJl+OCBtM4DSCR1FuYbN26sqVOnXna/BQsW6MCBAxo/frweffTR0vWzZs3S3LlztWDBAk2bNq10fU5OjmbPnq02bdpoxYoVSk1NlSSNGTNGo0aN0vTp07V27VolXdxvDQAAIApCN0IM48IsCiUlFe978UCNic5qDYZ5hyP4np04IeXkXGiZr6QDJwDEpXqVcA3D0PLly5WSkqLJkyeHbXvwwQf19ttva8WKFZo6daos529dr1y5Uj6fTxMnTiwN8pLUvn173XHHHVq2bJm2bt2qAQMG1Om5AKg6pl0CkMguNYuC1cp0iWWFwnzofWEmBQCJzHr5Xczh8Xj0wQcfaN68eVqyZIkOHjxYbp+cnBydOnVK3bt3L9eVPjk5WT169NDJkyd15MiR0vXZ2dmSpP79+5c73vXXXy9J2r59u5mnAgAAAABAVNVZy/zp06f12GOPha27/vrr9eKLL6pp06aSVBrS27RpU+ExWrduXbpfaJ+cnBylpKSoRYsWle6fk5NTabmaNGki68WjzdRjaYzuYq709GiXIC6lV/N9pWW+dvx+qaAgOOp1aM5lBsCrGocjLdpFAC7JMCS7PS3axag3Qi3zdntwadgwuKSnBxe62UdXdb//cRlc90dEPNXTOgnzI0aMUK9evdSuXTs5HA598803mjNnjjZs2KBJkyZp6dKlslgsKioqkqRKR6wPrQ/tJwVHvg/dDKhsf5fLVWnZCgsLa3RO0ZAuqYAH50xl5OdHuwhxJz09XfnVfF8J87Xj90v5+cEBoTweS2m3U8L8pTkcafJ4CqJdDOCSqKfhQmFeCnaxLy6WiosN5edLycnBgQQRHTX5/selWbjuN12aFDP1tCo3HeokzE+ZMiXs965du2r+/Pm67777tHPnTn366ae64YYb6qIoAOopv59Bnmrq4vnSAQAAEP+iNgCe1WrViBEjtHPnTu3atUs33HBD6QB2lbWkh9aXHejO6XSGtdRXtH9lLf0A6g+PJzgFU9lQSkCturNnaY0HAABIJFEdzT7UdeDs2bOSLv+Me+iZ+tB+UvD5+t27d+v06dPlnpu/3DP4AOoPj0fKywv+LDtnMKqmsJARrwEAABJJVMP83r17JUkZGRmSgqG7ZcuW2rVrl9xud9iI9iUlJdqxY4datmwZFuZ79uyp3bt3a/PmzRo2bFjY8Tdu3Fi6D4D6ze8Phvnvv5fOnQu2MjPdUNWdOye53dEuBQAAAOpKxMP8oUOH1LJlSzVu3Dhs/Y4dO/Tmm2/K4XDolltukSRZLBaNGjVKc+fO1dy5c/Xoo4+W7j9//nwVFhZq8uTJpXPMS8HB9RYuXKjXXntNN910U2kX/K+//lqrVq1Sq1at1KdPn0ifJoBa8niCQT4nJxhKfT7CfHV4PNIPP9DNHkDiCQTo0VUbNlu0SwCgpiIe5teuXasFCxaob9++ysjIkMPh0FdffaXNmzfLarVqxowZuuKKK0r3Hz9+vP75z39qwYIFOnDggK6++modPHhQGzZsUMeOHTV+/Piw47dt21ZTpkzRzJkzlZWVpVtvvVVut1tr1qyRz+fTU089paSkqHZAAFAFfn+wdbmgIBhKaZ2vHr9fKikJ/iTQA0gkPl9w3JBLTF6ESthswdnPbDZCPRCLIp5ye/furW+++UZffPGFsrOz5fF41KxZM91+++0aN26cunTpErZ/SkqKFi9erDlz5uiTTz5Rdna2mjdvrnHjxmnKlClhXe9DJk6cqIyMDC1atEhLly6V3W7Xtddeq2nTppU7PoD6yeUKhviCguDz3yUlDOhWXX4/0zIBSAyGEVw8nuD3x+nTwfXnh2FCJcoGdptNatIkemUBUHsWw0jsS+VYmWdQktIHDWKeeZMZmzZFuwhxp6bzzH/5pbR5s7Rvn/TttxYVFwfX0zJfdaGeDHxMVA3zdyMWUE/DheaZt9slp1Nq2VJq397QFVdIKSlSgwbRLmH9ZrVe+HeDBlKrVsFA73QGW+hrg3nmzWcZMCDaRYg7afv3x0w9rTfzzAPA5Xg84cu5c4R5AEDFQjcvz52TvvzSotxciacqLy8p6UKgT0uT3G5DP/mJ1KKF1LChOaEeQN3hYw9AvRTqQpnYfYcAAJXx+6Xi4mDX+qKiYIs9Li3Us8FmCz7W9pOfSMnJwdb5hg2jXToA1UWYB1DvlA3yhHkAwMVCrfJle28R5i/Pag0G+eTk4KMKoV5wzAIAxCbCPAAAAGJG6CZvIBAcLBVVY7FcCPMWS3DA1NDjCoR5IDYR5gEAABATyvbW8vtpja8qi+XCe2Wx0OsNiBeEeQAAAMQUwmjN8L4B8YUwDwAAgJhEOK0exqMB4ov18rsAAAAAAID6hDAPAAAAAECMoZs9AAAAYgLdwwHgAlrmAQAAAACIMYR5AAAAAABiDN3sAQAAAEiSPJ6av66mr403Dke0S4BEQcs8AAAAAAAxhjAPAAAAAECMoZs9AAAAAPn9tXttbV4fD2y2aJcAiYYwD5gk0b/AQvgyBwAAACKPMA8AAAAkuNoOXteggXT2rDlliTU224UFqEuEeQAAACCBuVy1P4bPJ+Xn1/44scjpvDCCPSPZoy4R5gGT0LU8iG72AADEFr+/9i3ziTw1Hdc9iBbCPGASPsiDCPMAAMSGQCC4uFy17yJvGInVMh/qUh/qXk+LPKKBMA+YpOzd6EQOszV9Zs7vD15QAACAuhEISG63dO6cZK3lhNU+nznd9WNFUlJwadAg2iVBIiPMAybw+y/c1T57NrHDfFFRze7M5+UR5gEAqCuBgHT4sEUnT5pzvEaNpOJiizkHq+dCIf5//seQlNjXfYguwjxgAo8nGOZPn5bOnEncZ8ak0Jd59V+XyM/aAQBQ17ze4HWLWRyOxPket9ulli2DvRqczmiXBomMMA+YINQif/q09N//JnYrc03DvBS8CPD5zC0PAAAoz+s191rF50ucMN+gQeKcK+o3wjxgktBIsOfOBUO9zxccDEa68DMR2O3BC4SaMozgxUUivWcAANQVwwh+T4d+miUQiP+Aa7EEB7vz+2l8QP1AmAcioLjYIrc7+GFvGIkVTIPd7Gr3zJyZFxcAACAodE3i85n/nLdhxHeYt1guDBKYSNd1qN8I80CEBAIXRmhPpA99q7X2d6tDN0EAAIB5Qr3fIiGep6a1WC4sidZIg/qNMA9EgGFc6HafaGFeqv2d+UR7vwAAqCuhaxSzxXuYt1ovhHmgviDMAxEQumsb+mJLpMHwLBa6yQMAUF9FKozGe4t1PJ8bYlfEw/zJkye1du1abdiwQf/973/1/fffq0mTJurevbvGjx+vrl27hu0/e/ZszZkzp8JjORwOff755xVuW716tRYtWqRDhw7JbrerW7dumjZtmq655hrTzwkAAACIJZEOo/Ec5i21GwoIiJiIh/nFixfrb3/7m1q1aqV+/fqpWbNmOnLkiNavX6/169frpZde0u23317udcOHD1dGRkbYOpvNVuHfmDdvnl555RVdccUVuvvuu+V2u7VmzRrdc889euONN9S7d++InBtQHfH6BXexeP4yBwAgFtXF93I8fv8T4lHfRTzMd+nSRe+884569OgRtn7Hjh0aN26cZsyYocGDB8vhcIRtHz58eJVCeE5OjmbPnq02bdpoxYoVSk1NlSSNGTNGo0aN0vTp07V27VolJfFEAQAAAAAgPlgj/QduueWWckFeknr06KHevXuroKBAX375ZY2Pv3LlSvl8Pk2cOLE0yEtS+/btdccdd+jo0aPaunVrjY8PAAAAAEB9E9Xm6lBreUWt5jt27NDevXtls9n0s5/9TP369SvXei9J2dnZkqT+/fuX23b99ddr2bJl2r59uwYMGGBy6QEAAIDYEclu8PHYzT4kXs8LsS9qYf7EiRP67LPP1KJFC2VmZpbbPmvWrLDfW7RooRdeeKFcaM/JyVFKSopatGhR7hitW7cu3QcAAAAAgHgRlTDv9Xr1+9//Xh6PR4888kjYwHYdO3bUCy+8oJ49e6p58+b67rvvtGbNGs2fP18TJ07Ue++9p6uuuqp0f5fLpaZNm1b4d5xOZ+k+lWnSpIms1og/bWCatAp6J6AW0tNNOYxhSAUFUqNGwcXhCC5lp6ZLpLu6DkdatIsAVAl1FbGAeopYEW91NTQAntUq2WxSUtKFa7zQNV9aWvByMj1dcjovbDcF1/0RkW7S9X99UOdhPhAI6I9//KO2b9+u0aNHa9iwYWHbBw8eHPZ769atNWnSJDVv3lxPPPGEXn311XKt9rVRWFho2rEiLV1SgccT7WLEFSM/35Tj5OcHl+Li4OLxWOTxSB5P4oV5hyNNHk9BtIsBXBZ1FbGAeopYEY919eIwHwgEf/d4Qtd8hgoKpJSUYND3es0N8xau+02XJinfpOv/SKvKTYc6bZI2DEPTp0/XP/7xD2VlZWnGjBlVfu2wYcOUlJSkXbt2ha13Op0qKiqq8DWhFvlQCz0AAAAAAPGgzsJ8qEX+/fff19ChQ/X8889Xq3u7w+FQo0aNdO7cubD1bdq0kdvt1unTp8u95siRI6X7AAAAAAAQL+okzAcCAT3++ONauXKlbr/9dr344othz8lXRU5OjgoLC5WRkRG2vmfPnpKkzZs3l3vNxo0bw/YBAAAAACAeRDzMlw3yt912m/7yl79UGuRdLpcOHjxYbn1hYaEef/xxSdKQIUPCto0YMUJJSUl67bXXwrrbf/3111q1apVatWqlPn36mHhGAAAAAABEV8QHwJs7d65WrlyplJQUtWnTRq+99lq5fQYPHqyOHTuqoKBAd9xxhzp37qzMzEw1a9ZMJ0+e1IYNG1RQUKD+/ftr3LhxYa9t27atpkyZopkzZyorK0u33nqr3G631qxZI5/Pp6eeeqrCeewBAAAAAIhVEU+5ubm5kiS326158+ZVuE9GRoY6duyotLQ03XvvvdqzZ4/+9a9/qaioSA0bNlRmZqaysrI0atSoClv1J06cqIyMDC1atEhLly6V3W7Xtddeq2nTpqlLly4RPT8AAAAAAOpaxMP8888/r+eff75K+zqdTv3pT3+q0d/JyspSVlZWjV4LAAAAAEAsqdOp6QAAAAAAQO0R5gEAAAAAiDGEeQAAAAAAYgxhHgAAAACAGEOYBwAAAAAgxjABOxKb32/ScYKLJXB+MSyyGpLVkAxDUugnAAAAAJiAMI/EdvSoOcfJk/StlPS9ZP9eSnJblOyWLGeD9wsCgcQJ857kZtEuAgAAqGN2n0uGzxXtYpjKYgn+tFolmxEMTnarZPVJSeck6zlDOifJJanh+Rc5zi9AHSDMI7Ft2GDOcVxW6ZRdtlybGuUly/mtQ9YfbPKdtQRb7RMozH+bfm20iwAAAOpY88Nr5fdGuxTmKhvmrTbJmiRZHJLdGVCzIo8anvXK0sQnS9OALI09sjQwZEkKyJIUiG7BkTAI80holv/7P3OO47HJUpwsW2GyGuWlq+V3TfSdUuSVQ5JNweEpLKb8LQAAgPqmQXGepHhruQidT0AW+WWRX1b59OPTbmX8UCDH2UJZGpVIDb1Ssl9KOv+MpTXe3gfUV4R5JLYTJ8w5jschFafIUdhQjQpK1EKnFJBUIIc8silAmAcAAHHMps8l+aJdDJNdCPN2+ZUsv1LkUzOjRI2+l2zec7I0cksNfWXCvD/YDx+oA4R5JDavSf3BvDbJ65fF65VNwf9YwcWjgCSfrAoQ5gEAQJxKkku+OAvzlvNhPkkBOUoXySFDSZKsHp9k90k2n2Q5P0iS1UeYR50hzCOxmfUgu1FmUbANPnwJyEKYBwAAccoqnyxxFuat5y/srJUsCgTKLwotQOQxzzwAAAAAADGGlnlIkjwBmzwBq/wG93dqwuVjDhIAAIBE5Tes8hvBn2f9XBdWl80SCPt32d9ROcI8JEl+Q3L5rHL5ksusI9hXlctnl8uXpIBhPT/YHQAAABLBWb9VhV5DLp9VDqst2sWJKQ5rMLw7rAE1tPlkszATQHUQ5iG/YVWht4FyzzqUV9JAXm+SZEiBAKG02jzWuJuUpdoMvyyGP9qliDuGhYsDAADqFb/kL7Er3xNQfmigJFRJ6J6H0+FVE7vU1GHIZkmSw+qnVb4aCPMo5Tckw2+RcTZZClhkBOzRLlIMsijRY6zNf1Z+/9loFyPuBGwNo10EAIgLloAn2kVAvAhI8thk6HwyJcxXmT9JklXyJPnlNwjvNUWYRym/IckvyZekIlnluai7OP/Nqi5w0ZJIGp7ZoiTvD9EuRtxxtbgh2kUAEA0BD+HTZKnFh6NdBMQBnyQFUmVNtAs9EyTJKxleyeE9P87A+RyCaiPMo0J+SW5J35//t6Q4m2wk8hIxyEtS+vcF8nmjXYr442mSF+0ixB0juVm0iwBcVpPvPpbfUxLtYsSVFgVc0aDmzkk6Kel0tAsSgxySmkj6sexK9vklG4/01hZhHpUKhdHC8z89SsxwiuqxeovkYOQA07U5tivaRYg7hzu1j3YRgMtqfur7aBchDu2OdgEQo7zne63SZlE9Vkk2BWSILGE2wjyqLcADQbiEJP1H9OMwn8XTNNpFiDtWY6SsDNZoqgADNZrOol0y+Ew1lUU8ChYZ8dvKWv5/YPyeq5nOPxYvq4LDCQSDPHHeTIR5AKZKUpH8XHhGQH60CxB3HJ48WTwF0S4GcEkOFcjLZypiQvwF3LINWD56HVZZqCYELvod5iPMAzCVTR4FuPBEDGhw6t9Kpq+kqRxMJwQgTtEztTqCNz74Rog8wjwAICE1yZd8XGmYik72AADUHcI8ACAhWQNH5aAXialsYgwCAADqCmEeAJCQkvSVDMInAACIUYR5AEBCsqlEPlrmTcZzC+Zj6CgAQMUI8wCAhGSVTxbCPOo9wjwAoGJ8QwAAAAAAEGMI8wAAAAAAxBjCPAAAAAAAMSZuwvzevXv1m9/8Rj179lS3bt00cuRIrV69OtrFAgAAAADAdHExAN62bdv0wAMPyG63a8iQIUpNTdW6dev0yCOPKDc3VxMmTIh2EQEAAAAAME3Mh3mfz6fp06fLYrHonXfeUadOnSRJkydP1t13363Zs2frtttuU5s2baJbUAAAAAAATBLz3ey3bt2qo0ePaujQoaVBXpKcTqcmTZokn8+nlStXRrGEAAAAAACYK+bDfHZ2tiRpwIAB5bb1798/bB8AAAAAAOJBzIf5nJwcSVLr1q3LbWvSpInS09N15MiROi4VAAAAAACRE/PPzLtcLklSampqhdudTqe+++67Sl+fnp4ekXJFxO7dSovQoZtJuipCxwYAAACA+iCm8t9lxHzLPAAAAAAAiSbmw7zT6ZQkFRUVVbjd5XJV2moPAAAAAEAsivkwH5pyrqLn4gsLC5Wfn1/h8/QAAAAAAMSqmA/zPXv2lCRt2rSp3LbNmzdLknr16lWnZQIAAAAAIJJiPsz37dtXV155pT788EMdOHCgdL3L5dKrr76qpKQkDR8+PIolBAAAAADAXBbDMIxoF6K2tm7dqvHjx8tut2vo0KFyOp1at26djh8/roceekgTJ06MdhEBAAAAADBNXIR5Sdq7d69mzZqlPXv2yOv1ql27dho7dqyysrKiXbRK7d27V7Nnzy5X5l/84hdVPkYgENCSJUv07rvv6siRI0pJSVHv3r318MMPl44nANRGbevpjh07tH79emVnZys3N1dut1sZGRm66aab9OCDD6px48YRPgMkCjM+U8vyer0aOXKkDh48qLZt2+rjjz82ucRIRGbVU5fLpYULF2rdunU6duyY7Ha7rrzySt10002aMmVKhEqPRGFGPf3hhx/05ptvav369Tp+/LgcDod++tOfavjw4Ro1apSSk5MjeAZIBKtWrdLOnTu1b98+ffXVV/J6vXruuec0YsSIah0nlvNU3IT5WLNt2zY98MADstvtGjJkiFJTU0t7Ezz88MOaMGFClY7zxBNP6L333lO7du00cOBAnTlzRh999JGSk5O1bNkytWvXLsJngnhmRj3t37+/8vPzdd1116ljx46yWCzKzs7WF198oVatWmnZsmVq1qxZHZwN4plZn6ll/fWvf9Vbb70lt9tNmIcpzKqnJ06c0NixY3Xs2DH169dPHTt2lMfj0dGjR3XixAmtXr06wmeCeGZGPf3hhx80YsQIHTt2TNddd526du0qj8ejDRs26OjRo+rTp4/efPNNWa0x/8QvomjQoEHKzc1Venq6UlJSlJubW6MwH9N5ykCd83q9xuDBg43OnTsb+/fvL11fVFRkDBkyxOjUqZNx+PDhyx5ny5YtRmZmpvHLX/7SKCkpKV3/2WefGR06dDDuvffeSBQfCcKsejp//nzj5MmTYesCgYDx5z//2cjMzDT+93//1+yiI8GYVVfL2rdvn9GpUyfj73//u5GZmWnceuutJpcaicaseurz+Yw777zT6NKli7Fly5YK/w5QU2bV09dff93IzMw0nn322bD1JSUlxp133mlkZmYa2dnZZhcfCWbz5s3G8ePHDcMIXm9mZmYa77//frWOEet5itthUbB161YdPXpUQ4cOVadOnUrXO51OTZo0ST6fTytXrrzscZYvXy5Jeuihh+RwOErX9+3bVwMGDND27dt1+PBh808ACcGsevrb3/5WLVu2DFtnsVg0adIkSdL27dvNLTgSjll1NcTj8eixxx5T165ddd9990WiyEhAZtXTTz75RJ9//rnuv/9+9enTp9z2pKQkU8uNxGJWPT127JgkaeDAgWHrHQ6H+vfvL0k6c+aMiSVHIurXr58yMjJqdYxYz1OE+SjIzs6WJA0YMKDcttAHXGifS9m2bZtSUlLUvXv3cttCxyYooabMqqeVCV1w2my2Gh8DkMyvq3PmzNGRI0f0zDPPyGKxmFNIJDyz6ulHH30kSbrtttv07bffaunSpXr99de1du1aFRcXm1hiJCKz6mn79u0lSRs3bgxb7/V69dlnn6lBgwa69tpra1tcoNZiPU9x+zYKcnJyJEmtW7cut61JkyZKT0/XkSNHLnkMt9ut06dPKzMzs8IwFBqsIfS3gOoyo55eyvvvvy/pwsUBUFNm1tW9e/dqwYIFevjhh9W2bVszi4kEZ1Y93bdvnyRp586deu655+TxeEq3NW3aVDNnzlTv3r3NKTQSjln1dNSoUVq1apUWLlyoffv2qXPnzvJ6vdq4caMKCwv10ksv6Uc/+pHZxQeqJR7yFC3zUeByuSRJqampFW53Op0qKiq65DFC251OZ6XHKPu3gOoyo55W5sCBA5o7d66aNWum8ePH17iMgGReXfV4PPrDH/6gjh076v777ze1jIBZ9TTUNfnpp5/W2LFj9emnn2rLli2aPn26ioqKNHnyZJ06dcq8giOhmFVPGzRooMWLFysrK0vZ2dlauHChFi9eXNqFv6JWUKCuxUOeIswDqFPHjh3Tgw8+KL/fr5dffllNmzaNdpEASdLMmTN15MgRPfvsszz+gXrLOD8J0Q033KBHHnlEP/7xj9W0aVONGTNG48aNU1FRkVasWBHlUiLR5eXl6de//rX+85//6PXXX9eOHTu0efNmzZgxQytXrtTo0aNVWFgY7WICMY8wHwWhuzyV3dl0uVyV3hENCW2v7E5RaH1ld5qAyzGjnl4sNzdXY8eOVV5enmbNmlXh4E1AdZlRV/fv36+33npLEyZMUIcOHUwvI2DWZ2roOIMGDSq37cYbb5R0oSs+UF1m1dPnn39eu3fv1qxZszRw4EClpqaqefPmGj16tB599FEdO3ZMixYtMrXsQHXFQ54izEdB6PmLip45KiwsVH5+foXPKpWVkpKiFi1a6Pjx4/L7/eW2h57tCP0toLrMqKdlHT9+XGPGjNGpU6c0c+bM0otOoLbMqKtffvml/H6/Zs+erQ4dOoQtknT48GF16NBBPXr0ML38SAxmfaaGxnJo3LhxuW2hdSUlJbUoKRKZWfX0008/VVpamq666qpy20I38vfv31+7wgK1FA95ijAfBT179pQkbdq0qdy2zZs3S5J69ep12eP06tVLbrdbu3btKrctdOzQ3wKqy6x6KgWD/K9+9SudOnVKr7zyigYPHmxeQZHwzKirbdq00ciRIytcpODd+5EjR2rYsGHmFh4Jw6zP1FAQOnToULltoXW1naoJicuseurxeORyucIGaAzJy8uTpLBpwIBoifU8RZiPgr59++rKK6/Uhx9+qAMHDpSud7lcevXVV5WUlKThw4eXrs/Ly9M333xT+uEXMnr0aEnB5zzLflhu2bJFmzZtUs+ePRmNGTVmVj0NBfmTJ0/q5Zdf1s0331xn54DEYEZd7d69u5555pkKF0lq3ry5nnnmGU2fPr3uTgxxxazP1BEjRsjhcOjtt9/WyZMnw44zf/58SdLPf/7zCJ8N4pVZ9bR79+7y+Xx69dVXw9Z7PJ7Sdcy6gLoUr3nKYoRGUkGd2rp1q8aPHy+73a6hQ4fK6XRq3bp1On78uB566CFNnDixdN/Zs2drzpw5mjJliqZOnRp2nOnTp2v58uVq166dBg4cqDNnzuijjz5ScnKyli1bpnbt2tX1qSGOmFFPBw0apNzcXHXr1q3CeWsllavXQHWZ9ZlakQ4dOqht27b6+OOPI3kKSABm1dPFixfr6aefVlpamm6++WY5HA79+9//Vm5uru666y49+eSTdX1qiCNm1NMDBw7o3nvvVXFxsbp06aLu3burpKREmzZt0rFjx3T11Vdr6dKlSk5OjsYpIk4sX75cO3fulCR99dVX2r9/v7p37176KMjgwYNLe4PGa55invko6dOnj5YsWaJZs2Zp7dq18nq9ateunX73u98pKyurysd58skn1aFDB7377rtavHixUlJSdOONNzJHMkxhRj3Nzc2VJO3Zs0d79uypcB/CPGrLrM9UIJLMqqdjxoxRRkaG3njjDa1Zs0Z+v1/t2rXThAkTSluZgJoyo5527NhRK1eu1Pz587V161a98847stlsatWqlaZOnaoHHniAII9a27lzpz744IOwdbt27SrtMp+RkVGlRztjOU/RMg8AAAAAQIzhmXkAAAAAAGIMYR4AAAAAgBhDmAcAAAAAIMYQ5gEAAAAAiDGEeQAAAAAAYgxhHgAAAACAGEOYBwAAAAAgxhDmAQAAAACIMYR5AAAAAABiDGEeAAAAAIAYQ5gHAAAAACDGEOYBAAAAAIgx/w81algefGTr1wAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4068,7 +4086,7 @@
     }
    ],
    "source": [
-    "nets_df = pd.read_csv(\"../../../causalpy/data/nets_df.csv\")\n",
+    "nets_df = cp.load_data(\"nets\")\n",
     "nets_df[\"trt\"] = nets_df[\"net_num\"]\n",
     "nets_df[\"outcome\"] = nets_df[\"malaria_risk\"]\n",
     "nets_df"
@@ -4097,7 +4115,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f1ce713129334ca88569db7051f32d65",
+       "model_id": "286bfe4bdcb2466fb7c8ebf7a73959b4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4108,14 +4126,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -4142,7 +4152,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "69634e0e53884f95860bba17a3f1f25d",
+       "model_id": "c31bd2da1ca74af9be0bed531dc06136",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4168,16 +4178,16 @@
      "output_type": "stream",
      "text": [
       "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
+      "Sampling: [alpha_outcome, beta_, beta_ps, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma]\n"
+      "NUTS: [beta_, beta_ps, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "dd56914b26ab4e22af11f6032cd94906",
+       "model_id": "5c9d36b85026491388ebad0df52c752d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4188,22 +4198,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -4218,7 +4212,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
      ]
     }
    ],
@@ -4244,7 +4238,7 @@
     "    \"beta_trt\": [0, 1],\n",
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [40, 30],\n",
-    "    \"sigma\": 10,\n",
+    "    \"sigma\": 15,\n",
     "}\n",
     "net_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
     "\n",
@@ -4253,7 +4247,12 @@
     "\n",
     "idata_treatment_2s_net, idata_outcome_2s_net, treatment_model_net, outcome_model_net = (\n",
     "    make_2step_model(\n",
-    "        X_trt, X_outcome, T_data, Y_data, coords, priors=priors, spline_component=True\n",
+    "        X_trt,\n",
+    "        X_outcome,\n",
+    "        T_data,\n",
+    "        Y_data,\n",
+    "        coords,\n",
+    "        priors=priors,\n",
     "    )\n",
     ")"
    ]
@@ -4265,7 +4264,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4291,7 +4290,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "As before we have used both model specifications to derive estimates for the treatment effect. In this case we have allowed the outcome model access to only a single `income` predictor. And while both models seem to recover the reported -10 treatment estimate with a large degree of uncertainty. The modular 2 stage estimates pulls away from the joint model estimate.  "
+    "As before we have used both model specifications to derive estimates for the treatment effect. In this case we have allowed the outcome model access to only a single `income` predictor. And while both models seem to approximtely recover the reported -10 treatment estimate with a large degree of uncertainty. The modular 2 stage estimates pulls away from the joint model estimate.  "
    ]
   },
   {
@@ -4332,91 +4331,91 @@
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.258</td>\n",
+       "      <td>-0.260</td>\n",
        "      <td>0.051</td>\n",
-       "      <td>-0.352</td>\n",
-       "      <td>-0.161</td>\n",
+       "      <td>-0.357</td>\n",
+       "      <td>-0.168</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.068</td>\n",
-       "      <td>0.462</td>\n",
-       "      <td>-10.945</td>\n",
-       "      <td>-9.187</td>\n",
+       "      <td>-10.048</td>\n",
+       "      <td>0.461</td>\n",
+       "      <td>-10.911</td>\n",
+       "      <td>-9.192</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.141</td>\n",
-       "      <td>0.223</td>\n",
-       "      <td>-10.533</td>\n",
-       "      <td>-9.713</td>\n",
+       "      <td>-10.148</td>\n",
+       "      <td>0.226</td>\n",
+       "      <td>-10.561</td>\n",
+       "      <td>-9.723</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-16.345</td>\n",
-       "      <td>0.686</td>\n",
-       "      <td>-17.624</td>\n",
-       "      <td>-15.058</td>\n",
+       "      <td>-16.308</td>\n",
+       "      <td>0.709</td>\n",
+       "      <td>-17.663</td>\n",
+       "      <td>-14.996</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.231</td>\n",
-       "      <td>0.883</td>\n",
-       "      <td>-1.409</td>\n",
-       "      <td>1.893</td>\n",
+       "      <td>0.179</td>\n",
+       "      <td>0.864</td>\n",
+       "      <td>-1.389</td>\n",
+       "      <td>1.816</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.749</td>\n",
-       "      <td>0.417</td>\n",
-       "      <td>45.977</td>\n",
-       "      <td>47.530</td>\n",
+       "      <td>46.732</td>\n",
+       "      <td>0.419</td>\n",
+       "      <td>45.947</td>\n",
+       "      <td>47.526</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.575</td>\n",
-       "      <td>0.457</td>\n",
-       "      <td>-10.456</td>\n",
-       "      <td>-8.745</td>\n",
+       "      <td>-9.647</td>\n",
+       "      <td>0.462</td>\n",
+       "      <td>-10.567</td>\n",
+       "      <td>-8.839</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.769</td>\n",
-       "      <td>0.186</td>\n",
-       "      <td>-11.124</td>\n",
-       "      <td>-10.419</td>\n",
+       "      <td>-10.645</td>\n",
+       "      <td>0.188</td>\n",
+       "      <td>-11.001</td>\n",
+       "      <td>-10.300</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>41.971</td>\n",
-       "      <td>0.421</td>\n",
-       "      <td>41.186</td>\n",
-       "      <td>42.757</td>\n",
+       "      <td>42.281</td>\n",
+       "      <td>0.416</td>\n",
+       "      <td>41.500</td>\n",
+       "      <td>43.058</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-6.135</td>\n",
-       "      <td>0.941</td>\n",
-       "      <td>-7.954</td>\n",
-       "      <td>-4.430</td>\n",
+       "      <td>-7.014</td>\n",
+       "      <td>0.942</td>\n",
+       "      <td>-8.859</td>\n",
+       "      <td>-5.304</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>-1.474</td>\n",
-       "      <td>0.879</td>\n",
-       "      <td>-3.179</td>\n",
-       "      <td>0.147</td>\n",
+       "      <td>-1.279</td>\n",
+       "      <td>0.881</td>\n",
+       "      <td>-2.882</td>\n",
+       "      <td>0.402</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4425,17 +4424,17 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt      -0.258  0.051  -0.352   -0.161    1.0\n",
-       "              beta_[trt]    -10.068  0.462 -10.945   -9.187    1.0\n",
-       "              beta_[income] -10.141  0.223 -10.533   -9.713    1.0\n",
-       "              beta_ps[0]    -16.345  0.686 -17.624  -15.058    1.0\n",
-       "              beta_ps[1]      0.231  0.883  -1.409    1.893    1.0\n",
-       "              alpha_outcome  46.749  0.417  45.977   47.530    1.0\n",
-       "2-stage-model beta_[trt]     -9.575  0.457 -10.456   -8.745    1.0\n",
-       "              beta_[income] -10.769  0.186 -11.124  -10.419    1.0\n",
-       "              alpha_outcome  41.971  0.421  41.186   42.757    1.0\n",
-       "              beta_ps[0]     -6.135  0.941  -7.954   -4.430    1.0\n",
-       "              beta_ps[1]     -1.474  0.879  -3.179    0.147    1.0"
+       "1-stage-model alpha_trt      -0.260  0.051  -0.357   -0.168    1.0\n",
+       "              beta_[trt]    -10.048  0.461 -10.911   -9.192    1.0\n",
+       "              beta_[income] -10.148  0.226 -10.561   -9.723    1.0\n",
+       "              beta_ps[0]    -16.308  0.709 -17.663  -14.996    1.0\n",
+       "              beta_ps[1]      0.179  0.864  -1.389    1.816    1.0\n",
+       "              alpha_outcome  46.732  0.419  45.947   47.526    1.0\n",
+       "2-stage-model beta_[trt]     -9.647  0.462 -10.567   -8.839    1.0\n",
+       "              beta_[income] -10.645  0.188 -11.001  -10.300    1.0\n",
+       "              alpha_outcome  42.281  0.416  41.500   43.058    1.0\n",
+       "              beta_ps[0]     -7.014  0.942  -8.859   -5.304    1.0\n",
+       "              beta_ps[1]     -1.279  0.881  -2.882    0.402    1.0"
       ]
      },
      "execution_count": 19,
@@ -4916,13 +4915,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.431, 0.501, 0.572, 0.644, 0.728])\n",
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.728])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6731fd53-b3ba-4257-9986-4557be6bec7c' class='xr-array-in' type='checkbox' checked><label for='section-6731fd53-b3ba-4257-9986-4557be6bec7c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.249 0.31 0.37 0.431 0.501 0.572 0.644 0.728</span></div><div class='xr-array-data'><pre>array([0.181, 0.249, 0.31 , 0.37 , 0.431, 0.501, 0.572, 0.644, 0.728])</pre></div></div></li><li class='xr-section-item'><input id='section-e9c8bb47-e429-46ad-a907-9dfce8ad5691' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9c8bb47-e429-46ad-a907-9dfce8ad5691' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-7f50b1e8-3fd3-470e-a315-17229d1bb4e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f50b1e8-3fd3-470e-a315-17229d1bb4e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a8412fc-0986-48df-90b4-0787ab31f4f0' class='xr-var-data-in' type='checkbox'><label for='data-5a8412fc-0986-48df-90b4-0787ab31f4f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3a45ee1-527b-444a-8328-7c623f890f43' class='xr-section-summary-in' type='checkbox'  ><label for='section-d3a45ee1-527b-444a-8328-7c623f890f43' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d9199abc-6191-4aac-9de4-d173a0b7d494' class='xr-index-data-in' type='checkbox'/><label for='index-d9199abc-6191-4aac-9de4-d173a0b7d494' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4bf7b775-d0f5-452c-ac2c-feab460d27d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4bf7b775-d0f5-452c-ac2c-feab460d27d4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0f252f02-51b6-4675-a553-e83e4a71b088' class='xr-array-in' type='checkbox' checked><label for='section-0f252f02-51b6-4675-a553-e83e4a71b088' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.249 0.31 0.37 0.43 0.501 0.572 0.643 0.728</span></div><div class='xr-array-data'><pre>array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.728])</pre></div></div></li><li class='xr-section-item'><input id='section-50d4cf69-deca-4500-bdfd-2d948713df8a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50d4cf69-deca-4500-bdfd-2d948713df8a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-fc32b7ae-2b4e-488e-9364-80a48f1291b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc32b7ae-2b4e-488e-9364-80a48f1291b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7569e19a-8b45-45e1-b16e-2f97c2c89424' class='xr-var-data-in' type='checkbox'><label for='data-7569e19a-8b45-45e1-b16e-2f97c2c89424' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c7ccfe8d-14f2-4ee2-ac26-ce5b5b367dd7' class='xr-section-summary-in' type='checkbox'  ><label for='section-c7ccfe8d-14f2-4ee2-ac26-ce5b5b367dd7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-39f82f8c-82fa-45be-834e-4de33216b915' class='xr-index-data-in' type='checkbox'/><label for='index-39f82f8c-82fa-45be-834e-4de33216b915' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e6de337-4c91-4a6d-acb2-a7440d64bd0c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e6de337-4c91-4a6d-acb2-a7440d64bd0c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.431, 0.501, 0.572, 0.644, 0.728])\n",
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.728])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -5397,13 +5396,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
+       "array([0.238, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f31ecc89-582c-4a09-8f90-0f162583324e' class='xr-array-in' type='checkbox' checked><label for='section-f31ecc89-582c-4a09-8f90-0f162583324e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.283 0.317 0.349 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-45877b9f-2853-40c2-b2c6-62d1d6de522a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-45877b9f-2853-40c2-b2c6-62d1d6de522a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-cb934bc4-0625-410f-a69c-9ef3df883909' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb934bc4-0625-410f-a69c-9ef3df883909' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f83de3c7-6c45-470f-a770-9440e5110482' class='xr-var-data-in' type='checkbox'><label for='data-f83de3c7-6c45-470f-a770-9440e5110482' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e622754-17d8-4498-9f74-30d5abaa4469' class='xr-section-summary-in' type='checkbox'  ><label for='section-6e622754-17d8-4498-9f74-30d5abaa4469' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a658c975-6e4f-4ec3-9dc5-1401ffa3e168' class='xr-index-data-in' type='checkbox'/><label for='index-a658c975-6e4f-4ec3-9dc5-1401ffa3e168' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03c9275c-ae94-4afa-9d0c-61acb49ead67' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-03c9275c-ae94-4afa-9d0c-61acb49ead67' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5c3a14d2-ad26-4527-957e-f2752eefd053' class='xr-array-in' type='checkbox' checked><label for='section-5c3a14d2-ad26-4527-957e-f2752eefd053' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.238 0.282 0.317 0.348 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.238, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-b5492a5a-685d-427d-accf-ca36a3a46edc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5492a5a-685d-427d-accf-ca36a3a46edc' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-cc43098c-b6d2-4877-94e1-4afa802e633b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc43098c-b6d2-4877-94e1-4afa802e633b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f0b2463-5238-40a8-8f03-a06b68bfbef5' class='xr-var-data-in' type='checkbox'><label for='data-7f0b2463-5238-40a8-8f03-a06b68bfbef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-424c223f-48f8-42bd-8bdb-4ccd83da646e' class='xr-section-summary-in' type='checkbox'  ><label for='section-424c223f-48f8-42bd-8bdb-4ccd83da646e' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e3d798a3-d911-4ab3-9849-ca228bb6fd69' class='xr-index-data-in' type='checkbox'/><label for='index-e3d798a3-d911-4ab3-9849-ca228bb6fd69' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5167e606-8297-4d21-b7ad-70669c510e62' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5167e606-8297-4d21-b7ad-70669c510e62' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
+       "array([0.238, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -5426,7 +5425,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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pIQrmCSFExJs3bwCgWIHHmzdvuACX3x+UZWFhgREjRgBQB6Fihg8frjWNTbama36rVq0AQGefcFNTU9H1WrRoAV9fXzAMg9OnT2vNv3v3LlauXIng4GCMHz8eo0ePxujRoxETEwNA3bxdTKdOnUo09JxYWT08PGBubo7Xr18jPT2dm3727FkAQL9+/USHteLfFCiOkydPcu972LBh8Pf355pMs3kNNA0dOlR0W+wxDggIEL25MWHCBABAfHw8srOztea3a9dOtFn5Bx98AHNzc6SkpODevXvc9MOHD3P7E9O1a1eYmpoiPj5etM/9Bx98oNVs39TUlOuXzb8BxAa4J06cQE5Ojuj+SkuTJk3QoUMHpKena+UZ2LdvHwoKCtCrVy+tgKy0WFpaAij8rtCHzXh/+fJlpKamlnpZ+F0djNWvXz/Y29trTR8zZgwAIC4uTvQ6LC+l8X0qdu3b2dlxQwvyr2H2XB05ckRvDgpCCKkMqM88IYSIsLKyAoBiBSRsLZyZmZlWrTbL3d0dAAQJ7ficnZ21pvFrzsTm29raAtAdXDRs2FBQC8zn5uaG2NhYrfKsXbsWK1asgEqlEl0PgKBWi69Zs2Y61zGE2HsE1MchLS0N2dnZ3Htmy61raMBGjRrB2toaWVlZxSrLixcv8OLFCwDqFgd16tSBr68vRo4cqXPMbM0+/Sy2rOw1oMnFxQWmpqbIz8/Hw4cPtWpsdR1XS0tLODo6IikpCUlJSXBzc8ObN2+QkpICAPj666/1vse8vDxkZGSgfv36gum6zgPbd5sf6PXp0weNGjXC6dOn0bVrV3Tt2pVL4Fja/dYB9Y2G6Oho/Pnnn4Lz8OeffwIo+U0cfdjPma7PFJ+DgwMGDBiAv//+G/369YOfnx86duwIX19ftG3blmu9URy2trYlGklD1/XUpEkTmJmZQaFQiF6H5aWsvk8B9TV8//59wTU8bNgwhIaGcokWu3btCl9fX/j7++vcPyGEVBQK5gkhRARbo1yczOfsj3w7OztIJBLRZdiASVfgLdZMlr8tsRYDuvbFEkucpTmPX56YmBj89NNPkMlkmD17Nnr16gUnJydYWFhAIpFg+fLlWLNmjc7aK7bmsrh0rc/WEvObkrM3XdibMGKsrKyKHcy///77gnHmDaGrVQcbOOg6HxKJBHZ2dnjy5Ino9VHUeUxKSuLW47/fuLi4Isucm5urNU3X+xA7D5aWlti2bRt+/vlnHDp0CAcPHuSy3ru7u2POnDno2bNnkeUwVP/+/bFw4UJERUUhPT0dtra2uHnzJhISEmBvb4+uXbuW2r40sRnUDQ2kly5dCnd3d4SHh+P06dNcCw07OzsEBQUJutUYo6Sfs6Kuw8ePHxvU+qCslMb3qTHXsIODA3bs2IGff/4ZUVFR2LNnD/bs2QMAaNu2LebOnYt27doV780QQkgpo2CeEEJEtGvXDmFhYVzTY2NqztiA8uXLl2AYRvQH6PPnzwXLlgd9fXvZefzy7N+/HwAQGBiIKVOmaK3DDqVVGbA/1vU1B67IgISPDb7Ymn5NDMOIng+WvvPIbpNdjx/oXbt2TW8W+dLSsGFDLF68GAsXLsT169dx4cIFHDp0CNeuXcO0adOwfft2eHt7l8q+LCwsMHDgQOzcuRORkZEYN24cVyv/7rvvcn2ky0JsbCwAoE2bNgYtb25ujunTp2P69Om4e/cuLl68iOPHj+PEiRNYunQpAPVnrbzpup50XYfs9xmjYySH0m6SXxHfp25ubli5ciUUCgXi4+MRExODyMhIXLp0CZMmTcL+/fuLnU+FEEJKE/WZJ4QQEd27d4elpSVevHiBQ4cOGbWus7MzpFIpFAqFVkI51p07dwCom1SXl7S0NJ0BLTt0G788bPNsXbVQuvrKVwS23PxkbHypqanFrpUvbWxZ2WtAU1JSEvLz8yGTyUSbB+saZi8nJ4erLWb3YWNjgwYNGujdX1kxMTGBt7c3pkyZgt27d2PQoEFQKpXYvXt3qe7ngw8+AABERESgoKCAuwlVlk3sr1+/jqtXrwIAevToYfT6bm5uGDlyJNasWYNvv/0WgHqc+Iqg63pKTk6GQqGAVCoVXIfsjTNdNwF0DYtXVMshXSry+9TMzAx+fn4IDg7GgQMH4OPjg+zsbERGRpbqfgghpLgomCeEEBG1a9fmki19//33RTa3j42N5ZoxW1lZcQHw1q1btZbNzc1FeHg4AHWW5fKSn5+PXbt2aU2/ffs2Ll68CIlEgs6dO3PT2eRsYjXIp0+frlTBPFvuw4cPiwbtERER5V0kndhzHh4ejry8PK357DXj4+Mj2oQ6Pj6ey6LPt3v3buTl5aFRo0aCftD9+vUDAGzevLlUyl9cbG3806dPDVqe7Woi1vSfr23btnB3d8f169exceNGPH/+vEzGlmdlZGRg7ty5AIB33nnH4Jp5Xdgx6jWPi6Hvv6QOHz7M1Wzzbdu2DYD2dcj2G2dvZvA9fvxYNIkmUPh9Yuz7qSzfpzKZjBvH3tBrmBBCyhoF84QQokNwcDDatWuH58+fY9SoUfjzzz+1gq/79+9jwYIFmDBhgqCmavLkyQCA7du3czWFgLoP83/+8x+8fPkSjRo1KrNhs8SYmJhg1apViI6O5qY9fvwYX3zxBQB10MevgWOH0Fq3bp2gRuzKlSv46quvjBpmrqx16tQJHh4eSE9Px5w5c/Dq1Stu3pEjR7Bu3bpyaWJuiMGDB8PJyQnPnz/H3LlzBa0l9u7dix07dgAovIY0mZiYYO7cuVzLCQC4ePEiVq5cCQCYNGmSoBZ08uTJqFu3Lvbs2YPFixcLjg2gDk537dqF1atXl/i9bdq0CZs2bdIKDlNTU7kbSeyoC0Vhg0Z21AR92Fr4n3/+WfC6NGVlZWHPnj0YNmwYbt++DXt7e4PzKJw7dw5LlizRah3x5s0bbug3zREKjHn/JaFSqTBnzhzB99c///zDBc6aTf+7desGADh69KhgFIGnT59izpw5UCqVovvh3wQwNrFoeX6fLl++HOHh4Vqfk9u3b+Ovv/4CYPg1TAghZY36zBNCiA5mZmYIDQ3Fl19+iUOHDuGLL77At99+C2dnZ5ibm+Pp06fcePQNGzYUBMI9e/bElClTsG7dOsyZMwfLli1DvXr1cO/ePWRnZ6NOnTpYsWKFUeNBl1S7du1gZWWF8ePHw8XFBZaWlrh9+zYKCgrQpEkTrWznI0eOxPbt2/Hw4UP861//gqurK/Lz83H//n24u7tj4MCB+O2338qt/PpIpVIsXboU48ePx/Hjx9GtWze4ubkhPT0dKSkpGD9+PI4dO4aUlJQy7UdtCAsLC6xYsQKBgYE4ePAgoqKi0KxZM7x48YJrJj916lR0795ddP2RI0fi2LFj6NevH5o3b47c3Fzcv38fgPq6Y4cUYzVs2BCrV6/GtGnTsGnTJoSFhcHV1RUWFhZ4+fIlkpOTwTAMBg4cWOL3lpKSgi1btmDx4sVo1KgR6tWrh6ysLDx48ABKpRJyuRwfffSRQdsaOHAgwsLCsH79evzzzz+wt7eHRCLB5MmTuYCSNXToUCxfvhz5+fmlMrb87t27ueEOCwoKkJmZiUePHnGjOvj5+WHJkiXcUHxFefPmDTZu3IiNGzfCzs4OTk5OKCgowIMHD5CTkwMbGxt8+eWXxX7/JREYGIht27ahR48ecHd3R0ZGBnejaMyYMejVq5dgeTc3NwwfPhy7du3ClClT0LhxY9jY2CAxMRHOzs4YPXo0tmzZorUfT09PuLi4ICkpCT169ICrqytMTU3RokULzJs3T28Zy/P7NDExEWvWrME333yDJk2aoE6dOsjMzMSDBw8AqM99SYYCJISQ0kTBPCGE6GFlZYWVK1fi4sWL2LNnDy5evIjk5GTk5+fD1tYWPXr0QN++fTF48GCtH5KzZ8+Gj48Ptm7dimvXruH58+do0KAB3nvvPXzyySfceMblRSKRICQkBGvXrsW+fftw584d2Nraok+fPpgxY4ZWVm5ra2ts27YNy5Ytw4kTJ3D//n04ODjgo48+QnBwcKUJ5FktWrTA7t27sWLFCpw5cwaJiYlo2rQpvvnmG4wdOxYHDhwAUL5JB3Xx9vbG3r17sXbtWpw+fRq3bt2CpaUlunTpggkTJugM5AH1UGTh4eFYvnw5Tp48iYyMDLi6uuKDDz7QmRHd19cXBw8exObNmxEVFcUN9+Xg4ICuXbuiZ8+eXHP8khg1ahTq1KmD8+fP4+HDh0hISECdOnXQunVrvPvuuxg+fLjBAVf79u2xbNkybN68GXfu3OGGHXv//fe1lq1Xrx66du2KY8eOlcrY8mlpadyNFQsLC1hbW8PHxwdt2rTBv/71L6Ob1vv6+mL+/PncdXn37l2YmJjA2dkZXbt2xcSJE7XGejfm/ZeEi4sLwsPDsWLFCkRHRyMrKwstWrTA2LFjRcdnB4AFCxbAyckJf/75J9LS0pCfn4+RI0fis88+09mdQyqVYu3atfjpp59w8eJFXLlyRWctvpjy+j6dOnUq3NzccOHCBaSmpiI1NRV2dnbo2LEjPvjgAwwePLhEQwkSQkhpkjC60pESQgipFi5cuIAJEyagY8eOon1Oa4L09HT4+/ujdu3aZd5suaysWrUKISEhCA4OxvTp0yu6OJXOiBEjcPnyZaxdu7ZYSekIIYSQqob6zBNCCKn22AR4ND509ZSYmIjLly+X+djyhBBCSGVCwTwhhJBq4datW9ixY4cgoRzDMNi7dy+XGG3UqFEVVTxSRpRKJZYvXw5AnU+gonMiEEIIIeWFOv0QQgipFjIyMvDNN99w/Xnr1q2LR48eISMjA4A60NNM5kWqrpMnT2L9+vV49OgR0tLSUL9+fUyYMKGii0UIIYSUGwrmCSGEVAvu7u4ICgrCmTNnuARm1tbWeOeddzBixIhSydZOKo/nz58jOjoalpaW8PPzw1dffYU6depUdLEIIYSQckMJ8AghhBBCCCGEkCqG+swTQgghhBBCCCFVDAXzhBBCCCGEEEJIFUPBPCGEEEIIIYQQUsVQME8IIYSUUK9eveDh4YHk5OQKK8OqVavg4eGBVatWVVgZKisPDw94eHhUdDFKbPz48fDw8MCFCxcquijVyty5c+Hh4YGIiIiKLgohhBiFstkTQqqdXr16ISUlxah1GjVqhGPHjpVRicpXREQEUlJS8P7776Nx48YVXRyiw9y5c7Fnzx68//77+OGHHyq6OFqSk5OxZ88eNGrUCMOGDTN6/YiICHz55ZdFLlfSz151ud4vXLiA6OhodOzYEX5+fhVdnGojISEBR44cQcuWLdGnT5+KLg4hhJQqCuYJIdWOl5cXHBwcBNMUCgWuXbvGzTczMxPMt7e3L7fylbU9e/ZwQUFVDm6IcWxtbeHq6gpbW9tS2V5KSgpCQkLQsWPHYgXzLDMzM3h5eemcX9LPniHXu6ura4n2UR6io6MREhKC4OBgncG8o6MjXF1dYWFhUc6lq7oSEhIQEhKC999/X2cwb29vD1dXV9jY2JRz6QghpGQomCeEVDsrV67UmpacnIzevXsDAH7++WcKckm1M27cOIwbN66ii6HF3t4e27dvr9Ay/P333xW6/9KydOnSii5CtTR79mzMnj27ootBCCFGoz7zhBBCCCGEEEJIFUPBPCGkRps6dSo8PDxw9OhRwfSCggK0a9cOHh4e+Pzzz7XW05UwiWEY7N27F+PGjUP79u3Rpk0bDBgwAD/++CMyMjKKVUaGYfDnn39i7NixaN++Pby8vNC5c2cMGzYMS5cuxePHjwGo+9x6eHggOjoaADBhwgQu8ZdmWS9duoSlS5di2LBheOedd+Dl5YXu3bvj888/R2Jiot6ybN++He+99x7atGmDTp06Yfbs2Xj06BEiIiLg4eGBuXPniq77+PFjLFq0CP3790ebNm3Qvn17jB8/vli1pq9evUJ4eDimTp2Kvn37ok2bNvD19UVAQAC2bNmCgoIC0fX4idBOnDiBsWPHol27dvD19UVQUBBu3Lihc58pKSmYM2cO3nnnHXh7e+Pdd99FWFgYGIYxuvyGSExMxOeff45u3brBy8sLnTp1wvTp03Hp0iXR5XUlwOOfF4VCgVWrVqFv375o3bo1unfvjsWLFyM7O1uwzvjx4zFhwgQA6ubf/OuoV69eZfJ+WWVxvetKgMdPXBgdHY2JEyeiffv26NixI6ZNm4akpCRu2aNHj2LMmDHw8fFBhw4dMGvWLDx58kT0PZw5cwbfffcd3nvvPXTs2BGtW7dGnz598O233yI1NVVreQ8PD4SEhAAAQkJCBO+D/3nSlwCvON89Jfk86MI/pufPn0dQUBD8/Py0yp2amopvv/0WvXr1gpeXF/z8/BAUFIQTJ06IbreoJHVi13+vXr24vA179uwRHNfx48cXuW3+Nl+/fo3//ve/6NGjB7y8vNC3b1/88ssvOr9rAODu3bv48ssvBe9xypQpOHfunOjy6enpWLJkCQYMGIDWrVujbdu26NWrFwIDAxEWFqZzP4SQmoua2RNCarQOHTrg2LFjiImJ4ZrhA8CNGze4ACcmJkZrPXZahw4duGkMw2DOnDk4cOAAAKBJkyaoXbs2bt++jQ0bNuCvv/7C5s2b0aRJE6PKuHTpUmzcuBEA4OTkBBcXF6Snp+P27du4fv06fHx80LBhQ9jY2MDHxwe3b99GVlYW5HI5rK2tue3Uq1ePe/7555/j4cOHqFu3Lho0aIAGDRogJSUF+/btw+HDh7Fu3TrRfrvz5s3D7t27AQCNGzdGnTp18M8//+DUqVMYM2aMzvcQHR2NTz/9FK9fv0atWrXQtGlTvH79GtHR0YiOjsakSZPwxRdfGHxMjh8/jvnz58PU1BQNGjSAXC5HRkYGrl27hitXruDMmTP49ddfIZWK37Pevn07FixYgPr168PV1RX379/HqVOnEBsbi127dsHNzU2w/N27dzFmzBhkZGTA3Nwc7u7uSE9Px3fffYc7d+4YXG5DHT16FJ999hkUCgVq164NDw8PpKam4vDhwzhy5AgWLFiAESNGGLXN/Px8TJo0CRcvXoS7uzsaNWqEBw8eYNOmTUhMTOSuMQDc8bx9+zasra0hl8u5eWWdX6IsrveiHDlyBEuXLkXdunXh7OyM+/fv48iRI7h8+TL27NmDyMhILF68GA0bNkSTJk1w7949REZG4saNG9i7dy/Mzc0F25s8eTJUKhXs7Ozg5OQEpVKJ5ORk/PHHH/j7778RFhYGd3d3bnkfHx+kpaUhLS0Njo6OcHR05Oa5uLgUWf6SfvcY+3kwRGRkJFasWAEbGxs4OzujVq1a3LzLly8jKCgIr169gqWlJeRyOV68eIFTp07h1KlT+PTTTzFz5kyj96nJy8sLpqamSEpKQr169dC0aVNuHv+aLsrr168xcuRIPHjwAM2bN4dUKsXDhw+xcuVKpKWlYdGiRVrrHDx4EP/5z3+Qn58PKysruLu74/nz5zhx4gROnjyJefPmCW4ovH79GiNGjMDDhw9hamqKpk2bwtzcHI8fP8aZM2dw+fJljB07tmQHhBBS/TCEEFIDPHr0iJHL5YxcLmcePXrETb9y5Qojl8uZ999/X7D8+vXrGblcznTt2pWRy+XMw4cPuXmpqamMXC5nunfvLlhn69atjFwuZ9q1a8ecPn2am/706VNm1KhRjFwuZwICAowq94sXL5gWLVowvr6+zMWLFwXzcnNzmQMHDjAJCQmC6ePGjWPkcjlz/vx5ndvds2eP4D0xDMPk5+czO3fuZFq1asX07t2bUSqVgvl//fUXI5fLGS8vL+aff/7hpqenpzOTJk1iPD09GblcznzxxReC9R4/fsx07NiR8fDwYNasWcPk5eVx82JjY7ljfOzYMcMOCsMwCQkJzPHjxwXbYhiGefjwITN27FhGLpczERERWuux14C3tzeze/dubvrr16+ZDz/8kJHL5cxnn30mWEelUjHvv/8+I5fLmUmTJjHp6encvAMHDjCenp5Mq1attK6tonzxxRc6j5ePjw8jl8uZRYsWce9RqVQyv/76KyOXyxlPT0+t875y5UpGLpczK1euFEzfvXs3t87AgQOZe/fucfPi4+O5fZ04cUKw3vnz5xm5XM6MGzfO4Pcktt+ePXsavE5ZXe/sedfUs2dP7ths3LiRu+YzMzOZESNGMHK5nJkyZQrj7e3N7Nu3j1svNTWV6d27NyOXy5mwsDCt7f7xxx/M48ePBdNycnK48yd2THWdP0Pea3G/e4rzeSgKe0xbtmzJrFq1isnPz2cYRv05ysvLY7Kzs5kePXowcrmcmTlzJvP69Wtu3YiICKZly5aMXC5noqKiBNtlPy/8cvIVdf1rfs4M2Ta7TU9PT2bs2LGCc3r06FGurHfu3BGsl5CQwHh5eTGtW7dmduzYIfguPXr0KOPj48O0bNlScC2HhoaKfscwDMOkpKQwv/32m87yE0JqLmpmTwip0Vq1agUrKyvcvHkTWVlZ3PSYmBhIpVJMmjSJe81im/Vq1spv2LABADBjxgx07tyZm2dvb48VK1bA1NQUly9f1tnEUszDhw+hUqng7+8PX19fwTxzc3MMGjQILVq0MOIdqw0dOlSrls7ExAQBAQEYOHAgHj16pNWc+7fffgMAfPrpp4Ks0HXr1sVPP/2kM8P2b7/9hoyMDHz44Yf4+OOPBSMJ+Pj4YMGCBQCATZs2GVz+Fi1aoEePHlqjEjRp0gTff/89AGD//v061x8+fLggQ7u1tTXXHPfUqVOCZc+fP4/r16+jVq1a+PHHH1G3bl1u3qBBgzBq1Ci9TW2NtW3bNmRlZaFly5aYN28e9x6lUik++eQTdO/eHfn5+YKadEMUFBTghx9+EGR2b9u2LQICAgAAJ0+eLLX3wJeSkiJo3qz5+O9//8stW1bXe1G6deuGjz76iGvJUbt2bUyfPh0AEBUVhYCAALz77rvc8o6OjggKCgKgfb0AwMiRI7VG1KhVqxY++eQT+Pr6Ijo6WmcTfWOVxnePMZ8HQ3Xr1g3BwcEwMVE3ApVIJDAzM8OBAweQmpqK+vXrY8mSJYLWFO+//z5GjhwJAFi3bl2x9lsWZDIZ/ve//wnOaa9evbjWXJrH6JdffoFCocCcOXMwYsQIQQuhXr164d///jeUSiW2bNnCTWe7dIwZM0bwHQOoW6hMnDixdN8UIaRaoGb2hJAaTSaTwcfHh2tS2r17d6hUKsTFxcHDwwO9e/fG4sWLERMTw/3YvXjxIgBhMH/37l2kpaXB3NxctPmzg4MD+vfvjwMHDuDMmTN45513DCof29z28uXLSE1NhZOTU0nfsqDMkZGRuH37NjIzM7mANC0tDQBw8+ZN+Pj4AACysrJw+fJlABAdpqxOnTro06ePaH/Ww4cPAwAXNGrq2rUrTE1NER8fj4KCAu7Hf1EUCgUOHTqECxcuIC0tDTk5OYL+6zdv3tS57vDhw7WmeXh4wNzcHK9fv0Z6ejo3xBv7Q33AgAGws7PTWm/MmDHYunWrQWU2xJkzZwBAZ5PaCRMm4MSJE9xyhmrZsiVat26tNZ2dlpycbGRJDVPU0HT8m0pleb3rI3Y9tGzZUu/8Vq1aAdB93K5evYpDhw7hzp07yMrKglKpBAA8ePAAgPr61Az4i6M0vnuM+TwYaujQoaLTT58+DUD9faDZPQFQX9/btm1DfHw8srOzYWlpadR+y0LXrl3RsGFDremtW7fG4cOH8ejRI26aQqHAiRMnIJPJdA7p2KtXLyxcuFBwk5i99o8cOYLu3bsb/D1ICKnZ6JuCEFLjdejQAadOnUJMTAy6d++Omzdv4tWrV1zttaOjI1cbD4jXzLO1Ko6Ojjp/fLJ9ZPlJtYri4OCAAQMG4O+//0a/fv3g5+eHjh07wtfXF23bti32D761a9dixYoVUKlUOpfJzMzknj98+BAMw6Bu3bo6AxCxBGNv3rxBSkoKAODrr7/WW6a8vDxkZGSgfv36RZY/NTUVkyZNwv379w0qvyZnZ2fR6XZ2dkhLS0N2djYXvLDnS1e/YRcXF5iYmJRa7Ty7P36far7mzZsDAJ4/f46srCxBzaY+uvpLszco3rx5Y2RJDWPM0HRldb0XRex64N+4EZvPXh+ax41hGHz33XfYtm2b3n3quz6NURrfPcZ8Hgyl6/NS1PXt4uICU1NT5Ofn4+HDh2XSEsNYRX12+Akkk5KSkJeXB1NTU0yePFl0PfamI791xrBhwxAaGoqIiAicPHkSXbt2ha+vL/z9/Y3Os0IIqTkomCeE1HhsUM7WkrDBeseOHQEA7du3x/79+5GWlgYTExMkJSXB3t5e0FyZ/UGvL+kWG6Tyf/zv2rWLSyjHxzanBtQJwdzd3REeHo7Tp09zNVt2dnYICgoSNA82RExMDH766SfIZDLMnj0bvXr1gpOTEywsLCCRSLB8+XKsWbNGEJyyP1atrKx0bldsHr/rQlxcXJFly83NNeg9zJ07F/fv34e3tzemT5+Oli1bok6dOjA1NUVBQQE8PT31Bte6gh72OPJr+Nn3riuYkUqlsLW1xbNnzwwqe1HY/em6lvjT37x5Y3AwX9R7rixK+3o3BD85G0sikXDPxbqQ8Ofz7d27F9u2bYOlpSU+//xzdO7cGQ4ODtw+5syZg/3795fazZ/ifvfwGfN5MJSubjdFXd8SiQR2dnZ48uRJmd1gMpYxx+f169cA1Akni/rOy8vL4547ODhgx44d+PnnnxEVFYU9e/Zgz549ANTdYebOnYt27dqV6H0QQqofCuYJITVe69atUatWLVy7dg3Z2dmIiYmBRCLh+ux27NgR+/fvR3R0NExNTQEIa+WBwkD2xYsXOvfz/PlzwbKAukm72A8+/nbMzc0xffp0TJ8+HXfv3sXFixdx/PhxnDhxAkuXLgUABAYGGvx+2b7kgYGBmDJlitZ8dugvPvbHrOYQZnxiP7z5P4KvXbvGHb+SePLkCS5cuAALCwusW7dOq38p202gtLDvIT09XXS+SqUq9rCDuvb3+vVrvHjxQrTGlH9t6Lu5UlWV9vVe3tjP1xdffIFRo0ZpzRf7fJVEcb97Kgr7edJVXoZh8PLlSwDC8rI3T3TdWND33VSe2DI7ODgYnYfCzc0NK1euhEKhQHx8PGJiYhAZGYlLly5h0qRJ2L9/Pxo3blwWxSaEVFGV63Y8IYRUAFNTU7Rt2xYFBQWIj49HbGwsmjdvzjWhZAP36Ohorva+ffv2gm2ww0elpaXprE1ihzDjDzU1ffp03Lp1S+uhq6+lm5sbRo4ciTVr1uDbb78FAOzcudOo98s2e9dVyyPW19zZ2RlSqRTp6el4+vSp6Hq3bt3SmmZjY4MGDRoAQKkN4caO092sWTOtQF5XOUqCPV/37t0Tnf/gwQPk5+eX+v50Ha/ExEQA6tpWQ2vli0NXzXN5Ko3rvbyxfejFPl/5+fm4e/eu6HrFPd7F/e6pKEVd30lJScjPz4dMJhPczGJr+tlAX9PDhw9Fp5f3ddy0aVOYmpri2bNnxb7JZ2ZmBj8/PwQHB+PAgQPw8fFBdnY2IiMjS7ewhJAqj4J5QghBYcAeFhaG9PR0Qc27q6sr7O3tERMTwwXzbBN8lpubG5ycnJCXl4fw8HCt7T958gSHDh0CAHTp0qVUyty2bVsA0Aqu2ea8upqss0mnxGrGTp8+LRrMW1tbw9vbGwC4pp98r1+/xtGjR0X3169fPwDA5s2bRecbi31/L168EK2lYzN7lxb2fP3999+itfNF9Y0u7v7CwsJE57PJ9krrOtKlqOuovBX3ei9v/OtTU0REhM5glP1cGvs+KuK7pyTYMoSHhwuambPY69vHx0fQsoftN3716lWtdR4/fsx1x9BU3ONaXBYWFujSpQtUKlWpJMaUyWRckkpdN1IJITUXBfOEEILCYP7YsWOC16z27dvjwYMHSExMhK2trVbyJolEwjX9XbVqlWAIqOfPn2PWrFnIz89H27Zt4e/vb3C5zp07hyVLlmjVYr1584YLWj09PQXz2B+9/EzJfGz3gXXr1gmyMF+5cgVfffWVaIZpANzQSKtXr+aOE6BO5PXvf/9bZzPXyZMno27dutizZw8WL16MV69eCeZnZGRg165dWL16tej6mtzd3VGnTh08fvwYv/76KxfQ5+XlYdGiRbhx44ZB2zHUO++8g1atWiEnJwf/+c9/BInLDh48iO3bt5dqYrbRo0fD2toaCQkJ+P7776FQKACom/OvX78eUVFRMDU1xUcffVRq+xTDNue9c+eOzgC0tJXF9V7e2M/XihUrBMft5MmTWLp0qc7PF/s+2FEdDFVW3z1lZfDgwXBycsLz588xd+5cQWuCvXv3YseOHQCglTyuW7duAICjR4/ixIkT3PSnT59izpw53GgBmvg3AXJyckr1vegyc+ZMmJmZ4ddff8W6deu0biQ8ffoUmzdvFiSGXL58OcLDw7W+H2/fvo2//voLQOEICoQQwqI+84QQAnWtH5tBGdAO5jt06MD9oOrQoYNo082xY8ciPj4eBw4cwMSJE9G0aVNYW1vj9u3byM/Ph5OTE/73v/8ZVa43b95g48aN2LhxI+zs7ODk5ISCggI8ePAAOTk5sLGx4caDZg0cOBBhYWFYv349/vnnH9jb20MikWDy5Mno1q0bRo4cie3bt+Phw4f417/+BVdXV+Tn5+P+/ftwd3fHwIEDuTHl+QYMGIAPPvgAu3fvxtSpU9GkSRPUqVMHd+7cgbm5OQIDA7FmzRqt5GQNGzbE6tWrMW3aNGzatAlhYWFwdXWFhYUFXr58ieTkZDAMg4EDBxp0TExNTTFz5kx89913+Pnnn7Ft2zY4ODggKSkJb968wcKFCzF//nyjjrM+EokES5cuxbhx43Dy5El069YN7u7uSE9PR0pKCsaMGYMTJ05w3RdKysHBAUuXLsXMmTOxefNm/Pnnn3B2dkZqaipevHgBqVSKr7/+usyzfNvZ2cHf3x/nz59Hnz594O7uDnNzc9SvXx/Lly83eDvPnj3D6NGj9S6zYcMGWFlZlcn1Xt6CgoIQGRmJy5cvo2fPnnB1dcWrV6+QkpICPz8/NGjQgOtXz9elSxfUqVMHsbGx6NGjB5o0aQITExN07dpVNLcFX1l895QVCwsLrFixAoGBgTh48CCioqLQrFkzvHjxgst3MXXqVC4BKMvNzQ3Dhw/Hrl27MGXKFDRu3Bg2NjZITEyEs7MzRo8eLRi3neXp6QkXFxckJSWhR48ecHV1hampKVq0aIF58+aVyXts2bIlfvrpJ3z++edYtmwZQkJC0KxZM675Pfs++TcsEhMTsWbNGnzzzTfcd2tmZiY3lKGfnx+GDBlSJuUlhFRdVDNPCCFQN8Vs06YNAHVfbM3h0fjN6jX7y7MkEgn+97//YcmSJWjfvj1evHiBxMRENGrUCIGBgYiIiDB6iCFfX1/Mnz8fPXv2hKWlJe7evYuUlBQ4OzsjKCgIf/31l1ZNZfv27bFs2TK0adMGT58+RUxMDKKjo7kkWNbW1ti2bRuGDh0Ka2tr3L9/H/n5+fjoo4+wY8cOvUmyFi1ahG+//RZyuRxPnjxBamoqevbsifDwcK5vvNj6vr6+OHjwID755BO4ubkhOTkZt27dglQqRdeuXfHtt98a9cN67Nix+PHHH9GyZUtkZGTg4cOH8PLywrp163SOZ18SzZs3x65duzB48GDUqlULiYmJsLKywtdff41vvvmmWNtkaxLFkgL27t0bERERePfdd2FmZoabN2+CYRj07dsX27Ztw8iRI0v0fgy1bNkyDBs2DNbW1rh+/Tqio6Nx+fJlo7ahUCgQFxen98Eei7K43subk5MT/vjjD/Tr1w+mpqa4d+8el9Rvw4YNOltxWFtbIzQ0FN26dUN+fj4uXbqE6Ohonbka+Mriu6cseXt7Y+/evRg5ciRsbW1x69YtZGdno0uXLli3bh0+++wz0fUWLFiAGTNmwNnZGU+ePMHLly8xcuRI7NixA7Vr1xZdRyqVYu3atejfvz9kMhmuXLmC6Oho0e5Epalv376IjIzEhAkT0KhRI9y/fx937txBrVq10LdvXyxZskRwk2bq1KmYMmUKWrdujezsbCQkJCA3NxcdO3bEkiVLsHHjRhp7nhCiRcIUZ7wRQgghRMPChQvx+++/48svv+Sa5BPdPvnkExw/fhyBgYH4z3/+U9HFIYQQQkgVQzXzhBBCSuzNmzdcki0fH58KLk3VcPv2bQDq5sOEEEIIIcaiYJ4QQojBNm3ahISEBMG0J0+eYMaMGXj27Bk8PT257gpEt02bNiElJYXrE00IIYQQYizqfEMIIcRgR48exeLFi2FjY4MmTZpAoVDg3r17UKlUsLW1xQ8//FDRRazUAgMDcevWLTx79gyAOlkam2uAEEIIIcQYFMwTQggx2IQJE1C7dm3cuHED9+7dA8MwcHZ2RteuXTF58mQ4ODhUdBErtStXriA/Px+enp4YOXJkuSWyI4QQQkj1QwnwCCGEEEIIIYSQKob6zBNCCCGEEEIIIVVMtWtmn56eXtFFIKRM1KlTB5mZmRVdDELKFF3npKaga53UBHSdk5qgrK5zW1vbIpehmnlCqgiplD6upPqj65zUFHStk5qArnNSE1TkdU6fMEIIIYQQQgghpIopcTC/fv16eHh4wMPDA5cuXRJdJisrC4sXL0bPnj3h5eWFnj17YvHixcjKytK53f3792P48OFo27YtOnTogMmTJ+Pq1aslLS4hhBBCCCGEEFLllSiYv3v3LlauXAlLS0udy2RnZ2PcuHHYtGkTXF1dMXHiRLi5uWHTpk0YN24csrOztdZZs2YN5syZgxcvXmDUqFH417/+hbi4OIwePRoXLlwoSZEJIYQQQgghhJAqr9gJ8JRKJb744gu0aNECLi4u2Ldvn+hyGzZsQEJCAoKCgvD5559z01euXIlffvkFGzZswIwZM7jpSUlJWLVqFVxcXLBr1y7Y2NgAAMaPH4+AgADMnz8ff/31F0xMql3uPkIIIYQQQgghxCDFrplfv349bt68ie+//x4ymUx0GYZhEB4eDktLS0ybNk0w7+OPP0adOnWwa9cu8Ie6j4iIQEFBAaZOncoF8gDQvHlzDBkyBA8fPsT58+eLW2xCCCGEEEIIIaTKK1Ywf/v2bYSEhGDq1Klo3ry5zuWSkpLw9OlT+Pj4aDXFNzc3R/v27fHkyRM8ePCAmx4dHQ0A6Ny5s9b2unbtCgCIiYkpTrEJIYQQQgghhJBqwei26gUFBZg7dy7c3NwwZcoUvcuyQbqLi4vo/KZNm3LLscskJSXB0tIS9vb2OpdPSkrSuc86derQMBik2jJkvElCqjq6zklNQdc6qQnoOic1QUVd50YH82vWrMGtW7ewc+dOmJqa6l329evXAABra2vR+ex0djlAnfnezs5O7/L6suBnZmbqLRMhVZWtrS3S09MruhiElCm6zklNQdc6qQnoOic1QVld54bcIDCqCvvmzZtYs2YNJk2aBE9Pz2IXjBBCCCGEEEIIIcVnVDD/xRdfoEmTJpg+fbpBy7MJ7HTVpLPT+YnurK2tBTX1YsvrquknhBBCCCGEEEJqAqOa2d+8eRMA0Lp1a9H5I0eOBAD88ssv6NOnT5F93Nk+9exygLp/fXx8PJ49e6bVb76oPviEEEIIIYQQQkhNYFQwP3z4cNHpFy9eRFJSEnr16gU7Ozs0atQIgDrobtCgAeLi4pCdnS3IaJ+Xl4eLFy+iQYMGgmC+Q4cOiI+Px5kzZzB06FDBfk6dOsUtQwghhBBCCCGE1FRGBfP//e9/RafPnTsXSUlJ+Pjjj9G2bVtuukQiQUBAAH755Rf88ssv+Pzzz7l5a9euRWZmJqZNmwaJRMJNHzZsGDZu3Ihff/0VvXv35prgJyYmYu/evXB2doa/v78xxSaEEEIIIYQQQqoVo7PZGysoKAjHjh3Dhg0bkJCQAE9PT9y8eRMnT55Ey5YtERQUJFje1dUVwcHBWLFiBd577z30798f2dnZiIyMREFBARYuXAgTkzIvNiGEVH1KZUWXwHhKpbDcMlnFlYUQQgghpBIr86jY0tISW7duRUhICA4dOoTo6GjUr18fEydORHBwsKDpPWvq1Klo1KgRNm/ejO3bt8PU1BTt2rXDjBkz0KZNm7IuMiGEEEIIIYQQUqlJGIZhKroQpYnGsiTVFY3VSoxWBWvmta5zqpkn1RR9p5OagK5zUhNUmXHmCSGEEEIIqWoOHDgAf39/HDhwoKKLQkiVN3ToUK1E5ZWZv78/pk6dWtHFKBPU+ZwQQggh1YokLa2ii6AT4+hYovVTU1MxbNgwwTQTExPY2dmhbdu2GD9+PJo3b16ifdQk/v7+aNeuHX799dcy3c/ly5exY8cOXL16Fenp6bCwsICdnR08PDzg5+eHQYMGlen+K6tLly7hxIkTiIuLQ1paGnJzc+Ho6IiuXbviww8/5BJhl7byOu9lbejQoXj8+LHeZf755x+jj+N3332HgwcPIiIiAk5OTiUpYrmYOnUq4uPjcf78+YouSrmjYJ4QQmqKkjS7L68m+wqF+sEypJl9SZriUzN+UkU1btwY/fv3BwDk5OTg2rVrOHz4MKKiohASEkI5hjT06NEDXl5eqF+/frnv+8CBA/jvf/8LmUyGTp06oUmTJsjLy0NKSgrOnj2L+Pj4GhvMf/XVV8jMzESbNm0wcOBAAEBcXBx+//13REVFYd26dbCzs6vgUlZuMpkMEydO1DnfzMys1PcZEhJS6tssS3/88Qdq1apV0cUoExTME0IIUdMXsJdXMK+Zzb4kKFAn1Vjjxo0xefJkwbQ1a9Zg06ZNWLNmDVavXl1BJaucrK2tYW1tXe77zc3NxU8//QRLS0usW7cObm5ugvkFBQWIjY0t93JVFqNGjcLAgQMFN1kYhsGPP/6IiIgIhIaGCoa2JtpkMpnWd0FZa9y4cbnur6RcXFwqughlhoJ5QgghhJBqICAgAJs2bUJCQgI3jW1OvGDBAqxZswbnz59Heno6QkJC4OvrCwCIjIxEREQE7t27BwBo1qwZhg0bplVbHBsbi2nTpiEwMBDt27fHunXrcPPmTZiamsLf3x/BwcFo0KCBVrlevnyJLVu24PTp03jy5AksLS3Rrl07TJ48WSu4Zfvhbt++HWvXrsXRo0eRkZEBZ2dnBAYGolevXoLls7KysG3bNhw7dgxPnjyBVCpF/fr14eXlhSlTpsDBwQGAunZ80aJFmD9/PgYPHsy9FwCIj4+Hv78/t8358+cDABYtWoTg4GCMGzdO6z2dPXsWs2bNwogRIzBr1iyd5+Tu3bvIzs5Gt27dtN4roO4i4efnJ7ruyZMnsXv3biQkJCA3N1fQlYK/rczMTPz22284ceIEnj9/Dmtra/j4+CAoKAiurq6CbbLNp3fv3o2TJ09i3759SE5ORt++ffHNN98AMO58PXz4EJs3b0ZcXBxevHgBCwsLODg4wNfXFzNnztR5XFgTJkzQmiaRSDBp0iREREQgPj6+yG3wxcbGYuvWrbhz5w4yMzNRp04dNGnSBAMGDMCQIUOKPO+DBw9GVlYWIiIicO7cOTx69AgZGRmoW7cuOnTogMDAQNFANiMjA7/++itOnjyJ7OxsNGvWDB9++CGysrIE1x1fYmIiNm/ejPj4eGRmZqJ+/fro0qULJk+ejDp16hj1vg31/PlzbNmyBWfPnsWzZ89gbm4Oe3t7eHt7Y9q0abCyshI03ed36eF3S2A/p3/++Sc3f/369QgNDcUvv/yCtLQ0bN++HcnJybCzs8OoUaMwcuRIMAyDnTt3IiIiAmlpaXBwcMCkSZPwr3/9S1DOhw8fYu/evYiJicHjx4+Rm5sLBwcH9OjRAx999JFgNDT+OeQ/HzhwIHdN6+pWUZzPTkREBM6ePYvw8HCkpaXBzs4OAQEBGD16NKTS8k9HR8E8IYQQQkg1IJFIRKe/evUKkydPRu3atdGnTx/k5+fDysoKALBixQr88ccfsLe3x7vvvguJRILjx49j4cKFSExMxGeffaa1vevXr2PLli3o1KkTRowYgVu3buHw4cO4fPkyNm7ciHr16nHLJicn49NPP8WzZ8/g5+eHbt26IT09HcePH8eFCxewatUqeHl5CbavVCoxY8YMvHr1Ct27d0deXh7++ecfzJs3DytWrOCCX4ZhMHPmTFy/fh1t2rSBv78/pFIp0tLScOLECQwcOJAL5jU5OjoiMDAQoaGhaNiwoeDGhVwuh7OzM1asWIF9+/aJBvN79+4FALz33nt6zghQu3ZtAOpcByqVyuAf+6tWrUJYWBhq166N7t27w9bWFk+ePEFMTAxatGjBBdWZmZkIDAxEcnIyfHx80LdvX6SlpeHYsWM4e/YsVq5cidatW2ttf9myZbh27Ro6d+6Mzp07c03ZjTlfz549Q2BgIHJyctC5c2c4OzsjJycHjx49Qnh4uEHBvC4mJuoQRWZEC6szZ85gzpw5sLGxQdeuXVG/fn2kp6cjMTERhw4dwpAhQ4o87wCQlJSE9evXw9fXF927d0etWrXw4MEDHD58GGfOnMHmzZvhyMt9kZ2djalTp+L+/fvw9vaGt7c3nj17hm+++QYdO3YULevJkycxf/58SKVSdO3aFQ0aNEBSUhJ27dqFCxcuIDQ0lLt2Sktubi6mTJmCtLQ0+Pn5oXv37igoKEBKSgoiIyMxbtw4WFlZYdSoUYiMjERiYiJGjhzJtWhxNDDfx44dOxAXF4du3brB19cXx48fx/Lly1GrVi0kJibi2LFj6Ny5M3x9fXHkyBEsWLAAjo6OaNu2LbeNqKgo7N+/H76+vvDx8QHDMLh27Rq2bt2K+Ph4rFmzhrtGAgMDERkZicePHyMwMJDbBns+dSnuZyckJARxcXHo3Lkz/Pz8cPLkSaxatQqvXr2qkCR7FMwTQgghhFQDO3fuBAC0bNlSMP3u3bsYPHgwvvzyS0FwdOnSJfzxxx9wcXHBhg0buB/tkydPRmBgIP744w/06NFD8CMbAM6fP4+vvvpKEMiGhoZi/fr1WLNmDebNm8dNX7BgAV68eCEIwgHgo48+wsSJE7F48WKEhYUJtv/s2TO0bNkSq1evhqmpKQCgX79+mD59OrZv385t5+7du7h+/Tq6d++OJUuWCLahUChQUFCg81g5OTlh8uTJCA0NhaOjo2gz5QEDBmDXrl2Ij49Hu3btuOkvX77EmTNn4OnpCXd3d537ANTNkT08PHDr1i1MmzYNgwYNgqenJ5ydnXUGqmfPnkVYWBjc3NywevVqQS1tQUEBMjMzudchISFITk7Ghx9+KAgkBg0ahM8++wzfffcdduzYoXUT4c6dO9iyZQsaNmwomG7M+Tp+/Dhev36Nf//73xg5cqRgOxkZGXqPS1H2798PADqDYV3rMAyDX375RSsJJHvMDDnvLi4uOHDggFbteGxsLKZPn47ffvsNX331FTd969atuH//PoYPH445c+Zw0wcPHsy1AtAsy4IFC1C3bl2sW7dOcA4OHz6Mb775BuvWrRNsSx+lUon169eLzqtXrx5Xux4TE4PU1FSMGjVK6ybdmzdvuL71o0aNwu3bt7lg3tgEeJcuXcLmzZvRqFEjAMDYsWMxfPhwrFq1CnZ2dggLC+OGXBs0aBACAwMRFhYm+J4ZMGAARo8ezX3+Wez3zJEjRzBgwAAA6u+ruLg4PH782KjuBsX97Ny8eRO///471zVk0qRJGDFiBMLDwxEUFKRV5rJGQ9MRQkhNx/ZTr64PQqqh5ORkrF+/HuvXr8fKlSsxZcoUbNq0Cebm5lq1Q6ampggODtYKHiMjIwEAQUFBgv7k1tbWCAoKEizD17RpU7z77ruCaWPHjoWtrS0OHz6M/Px8AMCtW7dw9epVDBw4UKspubOzM4YMGYK7d+/i7t27Wvv47LPPBD+KO3TogIYNG+LGjRtay5qbm2tNMzMzEzTFLQ62KfG+ffsE0w8ePIiCggIMGTKkyG1IJBJ8//33aN26NeLj47Fo0SKMHj0avXv3RnBwMA4cOAClxvfUrl27AACzZs3SCihNTEy4lg/5+fk4fPgw6tSpg48++kiwnL+/P/z9/fHo0SNcuXJFq1xjx47VCuSLe77Ejn/dunX1HBX9bt++jdDQUNja2mL8+PFGry9WHmOarVtbW4su7+vrC1dXV8TExAim//333zAzMxPUCrPL85t9sw4ePIg3b95g6tSpWuegX79+8PDwwJEjRwwur1KpRGhoqOhjz549WsuLHR8rK6tSC0JHjBjBBfIA4ODgAG9vb2RlZWHixImCsdM9PT3RqFEjJCYmCrbRoEED0fIMHz4cALTOgbFK8tmZNGmSIMdD3bp10bt3b2RnZ+PBgwclKldxUM08IYRUFcYGpprL61qfnV5eCfAoMR0hJZacnIzQ0FAAhUPT9evXDxMmTNCqLXZychINrm7dugUA8PHx0ZrHTtP8kQ0Abdq00WrSX6tWLXh4eOD8+fN4+PAh3NzccO3aNQDqmmyxmkP2h++DBw8EfbFtbGxEawMbNGjAbRNQ16C6ubnh8OHDePr0Kbp164a2bdvCw8PDqObZuri7u6N169Y4duwYZs+ezd3w2L9/PywtLdGnTx+DttOoUSOsX78et2/fRkxMDG7cuIGrV6/i4sWLuHjxIv766y8sX76cqxm9ceMGzMzMBK0BxCQlJSEvLw8+Pj6imbp9fHxw/vx5JCYmarWu8PT01Fre2PPVpUsXrF69Gv/73/8QExMDf39/eHt7w9nZ2aDjIiY1NRWzZ8+GSqXCokWLtK5bsXKNGjUKNjY26N27N6KiohAUFIS+ffvC19cXbdu2LVY2/NjYWOzYsQPXr19HRkaG4IYLP8h88+YN0tLS0KxZM0GQymrdurXWcGnscb5+/TqSk5O11lEoFMjIyOD66hfFzMwMJ0+eLHK5du3aoV69etiyZQsSExPRqVMneHt7w93dXWcXneIQa97O3oASGzazXr16uH79umAawzA4cOAAIiMjce/ePWRlZUGlUnHznz9/XqIyluSz4+HhobU8250nKyurROUqDgrmCSGkJtBXS13ewbw+xtSm000BUoP5+/tjxYoVBi2rK5jJzs6GVCoVDULs7OwglUpFf5yKLc/fD7vOq1evAKj7Mp85c0Zn+XJycgSv2f78mmQymeAHvYmJCX755Rds2LABUVFRWLlyJQB1TVlAQAAmTpxY4qB+yJAhWLRoEf7++28MHz4cly5dwoMHDzBkyBCja/7lcrkg0ImNjcX//d//ITY2Frt378bo0aMBAK9fv4a9vX2R/evfvHkDQPf51TwfYvP4jD1fTk5OXNKzc+fO4ejRowDULTemTJmC3r176y2/prS0NHz66afIyMjA4sWLuQSNfOwNLL5BgwbBxsYGffv2hYmJCXbs2IE///wTu3fvhkQigY+PD2bOnFlkH2rW0aNHMX/+fFhYWMDf3x+Ojo5cwMf2zWax50BX0K3vOLMtMHTJyckpUQsHTdbW1li/fj02bNiA06dP4+zZswDUN8kmTJjA1XqXlNjnl/0c6pqn2Tpl2bJl2LVrFxwcHNClSxfUr1+fu4kSGhoKBX8I22IoyWdH7D2w/fc130d5oGCeEEJqMn7wrC+oL+F/nAL6flzXqgXwf9jrW5adp2sZdrrYGLtlMO4uIVWNpaUlVCoV0tPTtX7Uvnz5EiqVSvSHa3p6uuj2Xr58CQBcDTa77uzZsxEQEFCaRefUrVsXc+bMwezZs5GUlITY2FiEh4dj/fr1MDExwYcfflii7ffp0wc///wz9u3bh+HDh3NN7g1pYl8UX19ffPzxx1i0aBEuXrzIBfM2Njbc8dcX0LPHlz3umtjpum6O6NqeMeerefPm+OGHH1BQUICbN2/i3Llz2LlzJ+bPn4/69eujR48eBm0nNTUV06ZNw/Pnz/H999+jS5cuostp1nJr6tmzJ3r27Ik3b97gypUrXCK1mTNnYufOnbCxsSmyLBs2bICZmRk2bdqk1cpAs/k7e8x05QgQOzfsOmxehPLk5OSEb775BkqlEnfv3sWFCxewc+dO/O9//0Pt2rXRr1+/ci2PmJcvX2L37t1wd3fHhg0bBDXnL168EL2hY6zS/uxUJOozTwip/iq6z3ZV6Ptd0e+tqh0vQqoBtrloXFyc1jx2SDCx2swrV66AYRjBtNzcXNy6dQvm5uZcAMQ25b569WqplluMRCKBq6srhg8fztXQnzp1qsj1pFKpoLZfU61atdC/f3/cvn0bcXFxOHbsGNzd3dGqVatSKbdYE99WrVpBoVAUOSybi4sLzM3NuaHrNOk7h2JKcr5MTEzg5eWFyZMnY9asWWAYRm/tPl9qaiqXQX/RokXo1q2b0fvXZGVlhXfeeQdffvklBg0ahPT0dEFTbn3nPSUlBS4uLlqB/LNnz7SaxVtZWcHR0RHJycmiN7nEjmV5fi50kclkkMvlGD9+PBYuXAhA+Hlha9L1fTbKSmpqKhiGQYcOHbQ+H5cuXRJdhy2voTXjpf3ZqUgUzBNCSE1W0QE3BfWEVJiBAwcCUDdbZZudAuomqGztF7sM34MHD7hs46ywsDCkp6ejX79+XHNYT09PeHp64p9//sE///yjtR2VSiV6I8FQqampuH//vtZ0tlZNLNGXptq1a+Pp06d6l3n//fcBAN9++y1yc3ONqpVPTU1FeHi44PiycnJysGPHDgCAt7c3N51t7vzTTz8JMtcD6mz2L168AKDuu923b19kZGRg8+bNguWio6Nx7tw5NG7cGG3atDGorMaerxs3bojWbBpz/PmB/MKFCw2uyRcTExODvLw8g8qj77w3bNgQycnJ3HEGgLy8PCxdulQ0WOzfvz8UCoVWjXFsbKxoS4LBgwfD0tISa9euxb1797Tm5+bmCnJDlJa7d+8iLS1Na7qu4wOgyM9GWWCTAl69elVwM+Hp06dYvXq16DrGlre0PzsViZrZE0JqlpoS3Ik1PRcLbhUK7cBX7BixzexL4/iVRjN7mUzYzF7X++X/FZtX3HISUg20a9cOAQEBCA8Px5gxY9CzZ08wDIOoqCg8efIEI0aMEE3C5ufnhx9//BFnzpyBi4sLbt26hfPnz8PBwQGffPKJYNmFCxfi008/xddff40dO3agRYsWMDMzw5MnT3D16lVkZGQYlLxLTGJiIr744gu0atUKzZo1Q7169fDs2TOcOHECMpkMY8aMKXIbvr6+OHr0KL788kvI5XLIZDJ06tRJkETQzc0NrVu3xtWrV2Fubs4NiWWIrKwsLFu2DCEhIfD29kazZs1gbm6OZ8+e4fTp03j16hVatGiBESNGcOt06tQJY8eORVhYGAICAtC9e3fY2dnh2bNniImJwdixYzFq1CgAwLRp0xAfH4/ffvsNV69ehaenJzdWdq1atbixzA1lzPk6dOgQdu/eDR8fHzRu3BhWVla4f/8+zp07h7p162qNeCDm008/xePHj+Hl5YU7d+7gzp07WssYOtzYypUr8eTJE7Rr1w6Ojo6QSCS4fPkybty4gdatWwsCM33nPSAgAMuWLcOHH36Inj17QqlUIjo6GoC6W4FmUsjx48fj+PHj2LVrF+7cuQNvb288ffoUR48eRZcuXXD69GnBObC1tcXChQvx1VdfYfz48fD390fTpk2hUCiQlpaG+Ph4tGnTxuCcGPqGpgPUOQWcnJwQExODlStXok2bNmjatCnq1KmDlJQUnD59Gubm5oI+876+vggLC8OSJUvQq1cvWFhYwMHBAf379zeoTCVRv3599OzZE8ePH8fEiRPRoUMHbjhIX19fpKSkaK3j6+uLY8eOYd68eXjnnXdgbm4ONzc3dO7cWed+SvuzU1EomCeEEEIIqaFmz54NDw8PRERE4M8//wQANGvWDJMnT8bgwYNF1/Hy8sLEiROxdu1a7Nixg6vlCg4O5rJWs5ycnLBlyxZs374dJ0+exP79+yGTyVCvXj20bdsWvXr1KnbZW7ZsiQkTJiAuLg5nzpxBVlYW6tWrBz8/P4wdO1Y0Y7umWbNmAVDXop44cQIqlQp2dnZaIwIMGjQIV69eRc+ePQ3qd81ycXHB4sWLceHCBVy/fh1///03Xr9+DSsrK7i6uqJHjx4YNmyYVi329OnT4eXlhV27duH48eNQKBSoV68e2rdvLxh73dbWFqGhodi4cSNOnjyJS5cuwdraGt26dUNgYKDRfbKNOV99+/aFQqHAlStXkJCQAIVCgQYNGuCDDz7A2LFj0aBBgyL3xyaTu3btms7aaEOD+QkTJiAqKgq3bt3ChQsXYGJiAicnJwQHB+ODDz4QJEPUd96HDx8OExMThIeHY9++fbC2tkanTp0wdepUzJs3T2u/VlZWWLNmDVavXo1Tp04hISEBrq6u+O6777hgWbPvdefOnbFlyxb8/vvviImJQXR0NCwsLGBvb4/BgwcbdcOIHZpOFx8fHzg5OcHPzw8BAQGIj49HVFQUcnJyYG9vjz59+mDcuHFwdXXl1unUqROCg4Oxd+9ebN26FQUFBWjXrl25BPMA8PXXX8PR0RHHjx9HeHg4HBwcMGrUKEyYMEE0n8KQIUOQlpaGI0eOYNOmTVAqlRg4cKDeYL60PzsVRcJodnqq4nQlZSGkqrO1taXru7j4tbA1qWZe832ztfB8laxmXus6L0nNPJvkzsJC9zxDEuwRUgaq4nd6bGwspk2bhsDAQIMDrOpi6dKliIiIwK+//lrkkHGkUFW8zkvTt99+i0OHDmH79u2CYJlUL2V1nesaOYSPauYJIaQ6EbtxwQbq/GCe/asrmBcL+nXNM5a+IFkqBfh9RHUF6mLBvK7s9rrWL075CCE1Tnp6Ov766y+4uLhQIE9EPX/+HPXr1xdMi4uLw5EjR9C0aVMK5EmZoWCeEEJqGrHAXTPQr6hgXqEQDoNnaDAvNtQc//1QgE4IMdKZM2dw69YtHDt2DDk5OQgMDKzoIpFKatasWTA3N0fz5s1hYWGB+/fv4/z585BKpVyTfkLKAgXzhJCaoyZkNxcLyDUDdv48dpoxwXxJh6rRdw4MCeYNqXknhJASOnr0KA4ePAh7e3tMnToVffv2regikUpq4MCBOHToEI4cOYI3b97AxsYGXbp0wYQJE+Dl5VXRxSPVGPWZJ6SKqOn9zgymL3N5TQnm2ZrosgjmVSrdwbyhQb6e7LC2deognd/MXirVXp7frJ6tlTcz025mz+8zrxnws/3o9TXBN7Z5PiFGoO90UhPQdU5qAuozTwghpU2k77gkObl6BfO6blzwgnLG0VE7mOcH7mLTxAL2ggLd8/RNF6NvqBeJBMjOLnxtYiJcng3u2Qe/eb1mEM7+Le7QdPpQUE8IIYSQCkbBPCGk5qrqgX1plp/ffF4sMNc3T990Y2lup6htarY00JzH/8uiQJwQQggh1QAF84SQ6kczuGObiOfkaDcxr8rEAli2eT37V1/iOn4gzA+iq2swT0E8IYQQQqoRCuYJIdUXG8yyAW1mZmFzcpWqsOl4VaUZ6LJNz1UqdfN0lQrIyhIG9jKZMMBnj0dBgf6Avbya2RcUaJ8Xfc3s+TST5VEwTwghhJBqjIJ5Qkj1xw/q8vPVQadCURjA8oPYqkRfMM/2Jc/MFCbDYxO/EUIIIYSQKo2CeUJI9aY5RBsbwBcUqAP6opqX81W2YF8smGdr5Nna7devCwN8QDvbfV6eenpVqZk30fhvi90v1b4TQgghpIahYJ4QUn3xs7gD6lp5fjDPPqpqMK+JDXrF+pxrBvNA4fEAhK0UKjKYNzUV5jJQqYTLs6/5rRDYh1Sqfm9sqwT2r1giPF35BgghhBBCqggK5gkhNYtmwMoP6PmBva51Kzu2Zp4NZLOzC4NefrAvlQprwStLMF9UzTz7mt8Kgb9vfssDQgghhJBqjIJ5QkjNoRm4s8nxNIN5XUFpVQnmgcIAuKBAGMyz75EfCAPagbzmcdAM5sWy3Zd3zbxmWfnTpFJhQK/5XHMsev5zzUR6+tBNA0IIIYRUEArmCSE1j1jNPPtg+9Gzy2muV9mxwbxCoQ5orawKg2F+sMtiA2fNmnnNVgrlFcwrlcCbN8L3o9lnng3mzczUr9kHW1vPPvi19WxLBZlM/Zya2RNSoxw4cACLFi3C/PnzMXjw4IouDiFV2tChQwEAf/75Z4WWw1D+/v5o164dfv3114ouSqmjYJ4QUr3x+4jrCt75z9nXgHZAW5WCeTbQtbISBsCAdpDOT5BnLEPzDRizPX3HXHOe5s0FsWmaY9EXNS59cdCNgEolLU1S0UXQydGRKdH6qampGDZsmGCaiYkJ7Ozs0LZtW4wfPx7Nmzcv0T5qkvL6kX/58mXs2LEDV69eRXp6OiwsLGBnZwcPDw/4+flh0KBBZbr/yurly5fYv38/bt68iZs3byItLQ0AcP78+TLdb3UJ7oYOHYrHjx/rXeaff/6BjY2NUdv97rvvcPDgQURERMDJyakkRSwXU6dORXx8fJlfN5URBfOEkJpJV7NyzcCQ33+7KgTzLH4ze/a1VFrY8kAzsNcXDGvO10wayF/PmLKJMabPvNh0zW0BZRPMU/BOKljjxo3Rv39/AEBOTg6uXbuGw4cPIyoqCiEhIWjTpk0Fl7By6dGjB7y8vFC/fv1y3/eBAwfw3//+FzKZDJ06dUKTJk2Ql5eHlJQUnD17FvHx8TU2mL9//z5+/fVXSCQSNGnSBLVq1UJubm5FF6tKkclkmDhxos75ZmzLtFIUEhJS6tssS3/88Qdq1apV0cUoExTME0KqH37wplkzr++hWWvPDmXHYhjx55VJfr76L7+ZvWbTdKDwr1hQX5VuWhBSQzVu3BiTJ08WTFuzZg02bdqENWvWYPXq1RVUssrJ2toa1tbW5b7f3Nxc/PTTT7C0tMS6devg5uYmmF9QUIDY2NhyL1dl4eLigl9//RVyuRxWVlYYOXIkHjx4UNHFqlJkMpnWd0FZa9y4cbnur6RcXFwqughlhoJ5QkjNU1QQzwbymoEtP4CvrAGvZhlzc4XBPL/vOyA+Xax2nj+/LGvmGab4feY1H/z95ecXZrm3sFBP16yt0FUzT7XwpIoICAjApk2bkJCQwE1jmxMvWLAAa9aswfnz55Geno6QkBD4+voCACIjIxEREYF79+4BAJo1a4Zhw4Zp1RbHxsZi2rRpCAwMRPv27bFu3TrcvHkTpqam8Pf3R3BwMBo0aKBVrpcvX2LLli04ffo0njx5AktLS7Rr1w6TJ0/WCm7Zvrjbt2/H2rVrcfToUWRkZMDZ2RmBgYHo1auXYPmsrCxs27YNx44dw5MnTyCVSlG/fn14eXlhypQpcHBwAKDdZ559LwAQHx8Pf39/bpvz588HACxatAjBwcEYN26c1ns6e/YsZs2ahREjRmDWrFk6z8ndu3eRnZ2Nbt26ab1XQN1Fws/PT3TdkydPYvfu3UhISEBubq6gKwV/W5mZmfjtt99w4sQJPH/+HNbW1vDx8UFQUBBcXV0F22SbT+/evRsnT57Evn37kJycjL59++Kbb74BYNz5evjwITZv3oy4uDi8ePECFhYWcHBwgK+vL2bOnKnzuLDq1auHevXqFbmcoWJjY7F161bcuXMHmZmZqFOnDpo0aYIBAwZgyJAhRZ73wYMHIysrCxERETh37hwePXqEjIwM1K1bFx06dEBgYKBoIJuRkYFff/0VJ0+eRHZ2Npo1a4YPP/wQWVlZOnM1JCYmYvPmzYiPj0dmZibq16+PLl26YPLkyahTp06pHRO+58+fY8uWLTh79iyePXsGc3Nz2Nvbw9vbG9OmTYOVlZWg6T6/Sw+/W4JYn/n169cjNDQUv/zyC9LS0rB9+3YkJyfDzs4Oo0aNwsiRI8EwDHbu3ImIiAikpaXBwcEBkyZNwr/+9S9BOR8+fIi9e/ciJiYGjx8/Rm5uLhwcHNCjRw989NFHsLS05Jbln0P+84EDB3LXtK5uFcX57ERERODs2bMIDw9HWloa7OzsEBAQgNGjR0Oq7/dNGaFgnhBSfemrmef3kWf7ySsUQF5e4TL6aub1Ba4VGeiz/5HIZIBEAmRkqINWzZp59n2xwbFYM3v2teZfXfMrus+8ruR8hNQQEol4roBXr15h8uTJqF27Nvr06YP8/HxYWVkBAFasWIE//vgD9vb2ePfddyGRSHD8+HEsXLgQiYmJ+Oyzz7S2d/36dWzZsgWdOnXCiBEjcOvWLRw+fBiXL1/Gxo0bBcFZcnIyPv30Uzx79gx+fn7o1q0b0tPTcfz4cVy4cAGrVq2Cl5eXYPtKpRIzZszAq1ev0L17d+Tl5eGff/7BvHnzsGLFCi74ZRgGM2fOxPXr19GmTRv4+/tDKpUiLS0NJ06cwMCBA7lgXpOjoyMCAwMRGhqKhg0bCm5cyOVyODs7Y8WKFdi3b59oML93714AwHvvvafnjAC1a9cGoM51oFKpDP6xv2rVKoSFhaF27dro3r07bG1t8eTJE8TExKBFixZcUJ2ZmYnAwEAkJyfDx8cHffv2RVpaGo4dO4azZ89i5cqVaN26tdb2ly1bhmvXrqFz587o3Lkz7OzsABh3vp49e4bAwEDk5OSgc+fOcHZ2Rk5ODh49eoTw8HCDgvnSdObMGcyZMwc2Njbo2rUr6tevj/T0dCQmJuLQoUMYMmRIkecdAJKSkrB+/Xr4+vqie/fuqFWrFh48eIDDhw/jzJkz2Lx5MxwdHbn1srOzMXXqVNy/fx/e3t7w9vbGs2fP8M0336Bjx46iZT158iTmz58PqVSKrl27okGDBkhKSsKuXbtw4cIFhIaGctdOacnNzcWUKVOQlpYGPz8/dO/eHQUFBUhJSUFkZCTGjRsHKysrjBo1CpGRkUhMTMTIkSO5Fi3896zPjh07EBcXh27dusHX1xfHjx/H8uXLUatWLSQmJuLYsWPo3LkzfH19ceTIESxYsACOjo5o27Ytt42oqCjs378fvr6+8PHxAcMwuHbtGrZu3Yr4+HisWbMGJm9v2gcGBiIyMhKPHz9GYGAgtw32fOpS3M9OSEgI4uLi0LlzZ/j5+eHkyZNYtWoVXr16halTpxp0jEoTBfOEkJqBX9Ou78EwhcuytfRsEF+VgnmlsrBGWqVSB/YymXYQLtbcXldCOV2v2b+Gdj3QEXAAUJeR319SX828SqUuv65gnq2d52e2Z7clltFe8zXVyJMqZufOnQCAli1bCqbfvXsXgwcPxpdffgkZ77q+dOkS/vjjD7i4uGDDhg3cj/bJkycjMDAQf/zxB3r06CH4kQ2ok5N99dVXgkA2NDQU69evx5o1azBv3jxu+oIFC/DixQtBEA4AH330ESZOnIjFixcjLCxMsP1nz56hZcuWWL16NUxNTQEA/fr1w/Tp07F9+3ZuO3fv3sX169fRvXt3LFmyRLANhUKBAs38GzxOTk6YPHkyQkND4ejoKNpMecCAAdi1axfi4+PRrl07bvrLly9x5swZeHp6wt3dXec+AHVzZA8PD9y6dQvTpk3DoEGD4OnpCWdnZ8G54Dt79izCwsLg5uaG1atXC2ppCwoKkJmZyb0OCQlBcnIyPvzwQ0EgMWjQIHz22Wf47rvvsGPHDq2bCHfu3MGWLVvQsGFDwXRjztfx48fx+vVr/Pvf/8bIkSMF28nIyNB7XMrC/v37wTAMfvnlF60kkOwxM+S8u7i44MCBA1q147GxsZg+fTp+++03fPXVV9z0rVu34v79+xg+fDjmzJnDTR88eDDXCkCzLAsWLEDdunWxbt06wTk4fPgwvvnmG6xbt06wLX2USiXWr18vOq9evXpc7XpMTAxSU1MxatQorZt0b9684frWjxo1Crdv3+aCeWMT4F26dAmbN29Go0aNAABjx47F8OHDsWrVKtjZ2SEsLAy2trYA1NdpYGAgwsLCBN8zAwYMwOjRo7nPP4v9njly5AgGDBgAQP19FRcXh8ePHxvV3aC4n52bN2/i999/5/JvTJo0CSNGjEB4eDiCgoK0ylzWyr8tACGEVFZsQMp/8ANEsb74le2Rn6/7oVAAOTnqR1YWkJ1d+MjKEj7Y6bm52o+8vMIWDey2xboqFOeRm6s92kBeXuFDsyz8lhWGPDTPIyFVVHJyMtavX4/169dj5cqVmDJlCjZt2gRzc3Ot2iFTU1MEBwdrBY+RkZEAgKCgIEF/cmtrawQFBQmW4WvatCneffddwbSxY8fC1tYWhw8fRv7b3B23bt3C1atXMXDgQK2m5M7OzhgyZAju3r2Lu3fvau3js88+E/wo7tChAxo2bIgbN25oLWtubq41zczMTNAUtzjYpsT79u0TTD948CAKCgowZMiQIrchkUjw/fffo3Xr1oiPj8eiRYswevRo9O7dG8HBwThw4ACUGt9Fu3btAgDMmjVLK6A0MTHhWj7k5+fj8OHDqFOnDj766CPBcv7+/vD398ejR49w5coVrXKNHTtWK5Av7vkSO/5169bVc1TKllh5jGm2bm1tLbq8r68vXF1dERMTI5j+999/w8zMTFArzC7Pb/bNOnjwIN68eYOpU6dqnYN+/frBw8MDR44cMbi8SqUSoaGhoo89e/ZoLS92fKysrEotCB0xYgQXyAOAg4MDvL29kZWVhYkTJ3KBPAB4enqiUaNGSExMFGyjQYMGouUZPnw4AGidA2OV5LMzadIkQSLNunXronfv3sjOzq6QfA9UM08IIYCwZl7sARieAK8yJMfj15hLJNq14QyjPU1sHHp2G/xjIHZM+NOKoq9mXnM4QLHl2Wz8/L7+/Np6am5PaoDk5GSEhoYCKByarl+/fpgwYYJWbbGTk5NocHXr1i0AgI+Pj9Y8dprmj2wAaNOmjVaT/lq1asHDwwPnz5/Hw4cP4ebmhmvXrgFQ12SL1RyyP3wfPHgg6IttY2MjWhvYoEEDbpuAugbVzc0Nhw8fxtOnT9GtWze0bdsWHh4eOmu9jeHu7o7WrVvj2LFjmD17NnfDY//+/bC0tESfPn0M2k6jRo2wfv163L59GzExMbhx4wauXr2Kixcv4uLFi/jrr7+wfPlyrmb0xo0bMDMzE7QGEJOUlIS8vDz4+PiIZur28fHB+fPnkZiYqNW6wtPTU2t5Y89Xly5dsHr1avzvf/9DTEwM/P394e3tDWdnZ4OOS3GIlWvUqFGwsbFB7969ERUVhaCgIPTt2xe+vr5o27Yt14XAGLGxsdixYweuX7+OjIwMwQ0XfpD55s0bpKWloVmzZoIgldW6dWut4dLY43z9+nUkJydrraNQKJCRkcH11S+KmZkZTp48WeRy7dq1Q7169bBlyxYkJiaiU6dO8Pb2hru7u84uOsUh1rydvQElNmxmvXr1cP36dcE0hmFw4MABREZG4t69e8jKyoKK93/68+fPS1TGknx2PDw8tJZnu/NkZWWVqFzFQcE8IYRUd2yQLRYk85uhssGwZlCuGbyXZTAvFoRrLi+RqPfFH8ZOc6g6sWR/hFQj/v7+WLFihUHL6gpmsrOzIZVKRYMQOzs7SKVS0R+nYsvz98Ou8+rVKwDqvsxnzpzRWb6cnBzBa7Y/vyaZTCb4QW9iYoJffvkFGzZsQFRUFFauXAlAXVMWEBCAiRMnljioHzJkCBYtWoS///4bw4cPx6VLl/DgwQMMGTLE6Jp/uVwuCHRiY2Pxf//3f4iNjcXu3bsxevRoAMDr169hb29fZP/6N2+Theo6v5rnQ2wen7Hny8nJiUt6du7cORw9ehSAuuXGlClT0Lt3b73lLw72BhbfoEGDYGNjg759+8LExAQ7duzAn3/+id27d0MikcDHxwczZ84ssg816+jRo5g/fz4sLCzg7+8PR0dHLuBj+2az2HOgK+jWd5zZFhi65OTklGoLB2tra6xfvx4bNmzA6dOncfbsWQDqm2QTJkzgar1LSuzzy34Odc3TbJ2ybNky7Nq1Cw4ODujSpQvq16/P3UQJDQ2FQqEoURlL8tkRew9s/33N91EeKJgnhJDiqOw180BhNwFAvHaevxygDoCLCtTLOpgXu8HAX559zQb0QGGfeJVKmMme/cv/T5+t1Rdrai/Wh576zZNqzNLSEiqVCunp6Vo/al++fAmVSiX6wzU9PV10ey9fvgQArgabXXf27NkICAgozaJz6tatizlz5mD27NlISkpCbGwswsPDsX79epiYmODDDz8s0fb79OmDn3/+Gfv27cPw4cO5JveGNLEviq+vLz7++GMsWrQIFy9e5IJ5Gxsb7vjrC+jZ48sed03sdF03R3Rtz5jz1bx5c/zwww8oKCjAzZs3ce7cOezcuRPz589H/fr10aNHD4O2YyjNWm5NPXv2RM+ePfHmzRtcuXKFS6Q2c+ZM7Ny5EzY2NkXuY8OGDTAzM8OmTZu0WhloNn9nj5muHAFi54Zdh82LUJ6cnJzwzTffQKlU4u7du7hw4QJ27tyJ//3vf6hduzb69etXruUR8/LlS+zevRvu7u7YsGGDoOb8xYsXojd0jFXan52KRH3mCSGkKLqa3lfnByGk2mObi8bFxWnNi4+PByDeZPbKlStgNL4ncnNzcevWLZibm3MBENuU++rVq6VabjESiQSurq4YPnw4V0N/6tSpIteTSqWC2n5NtWrVQv/+/XH79m3ExcXh2LFjcHd3R6tWrUql3GJNfFu1agWFQsGdA11cXFxgbm7ODV2nSd85FFOS82ViYgIvLy9MnjwZs2bNAsMwemv3y5qVlRXeeecdfPnllxg0aBDS09MFTbn1nfeUlBS4uLhoBfLPnj3TahZvZWUFR0dHJCcni97kEjuW5fm50EUmk0Eul2P8+PFYuHAhAOHnha1J1/fZKCupqalgGAYdOnTQ+nxcunRJdB22vIbWjJf2Z6ciUTBPCCH6VHRQXdoPYxL6GZL9v6IfxiS+0/XeCamhBg4cCEDdbJVtdgqom6CytV/sMnwPHjzA/v37BdPCwsKQnp6Ofv36cc1hPT094enpiX/++Qf//POP1nZUKpXojQRDpaam4v79+1rT2Vo1sURfmmrXro2nT5/qXeb9998HAHz77bfIzc01qlY+NTUV4eHhguPLysnJwY4dOwAA3t7e3HS2ufNPP/0kyFwPqLPZv3jxAoC673bfvn2RkZGBzZs3C5aLjo7GuXPn0LhxY7Rp08agshp7vm7cuCFas2nM8S9NMTExyMvLM6g8+s57w4YNkZyczB1nAMjLy8PSpUtFg8X+/ftDoVBo1RjHxsaKtiQYPHgwLC0tsXbtWty7d09rfm5uriA3RGm5e/cu0tLStKbrOj4AivxslAU2KeDVq1cFNxOePn2K1atXi65jbHlL+7NTkaiZPSGEFEWzSbnmc83XlaGPNts0nV8WflN7sVp4/jR+03Zdy7HPxZYxpGxiDO0zz3+ueezZpvTsMHZsQM82V2Wz5LPY4fmKGqrO0HnGoGb8pAK1a9cOAQEBCA8Px5gxY9CzZ08wDIOoqCg8efIEI0aMEE3C5ufnhx9//BFnzpyBi4sLbt26hfPnz8PBwQGffPKJYNmFCxfi008/xddff40dO3agRYsWMDMzw5MnT3D16lVkZGQYlLxLTGJiIr744gu0atUKzZo1Q7169fDs2TOcOHECMpkMY8aMKXIbvr6+OHr0KL788kvI5XLIZDJ06tRJkETQzc0NrVu3xtWrV2Fubs4NiWWIrKwsLFu2DCEhIfD29kazZs1gbm6OZ8+e4fTp03j16hVatGiBESNGcOt06tQJY8eORVhYGAICAtC9e3fY2dnh2bNniImJwdixYzFq1CgAwLRp0xAfH4/ffvsNV69ehaenJzdWdq1atbixzA1lzPk6dOgQdu/eDR8fHzRu3BhWVla4f/8+zp07h7p162qNeKDLd999xz1nE5vxp82YMcOgvuMrV67EkydP0K5dOzg6OkIikeDy5cu4ceMGWrduLQjM9J33gIAALFu2DB9++CF69uwJpVKJ6OhoAOpuBZpJIcePH4/jx49j165duHPnDry9vfH06VMcPXoUXbp0wenTpwXnwNbWFgsXLsRXX32F8ePHw9/fH02bNoVCoUBaWhri4+PRpk0bg3Ni6BuaDlDnFHByckJMTAxWrlyJNm3aoGnTpqhTpw5SUlJw+vRpmJubC/rM+/r6IiwsDEuWLEGvXr1gYWEBBwcH9O/f36AylUT9+vXRs2dPHD9+HBMnTkSHDh244SB9fX2RkpKitY6vry+OHTuGefPm4Z133oG5uTnc3NzQuXNnnfsp7c9ORaFgnhBCxGjWZAPCIFMz4KyMwbxKBcnr14VBLD+YZ6dpJo0TC8rFXpdVMG9mBgk/0NbVZx5QB8JswC6TqR9SKZh69bTPG9XM1yiOjtRVxFCzZ8+Gh4cHIiIi8OeffwIAmjVrhsmTJ2Pw4MGi63h5eWHixIlYu3YtduzYwdVyBQcHc1mrWU5OTtiyZQu2b9+OkydPYv/+/ZDJZKhXrx7atm2LXr16FbvsLVu2xIQJExAXF4czZ84gKysL9erVg5+fH8aOHSuasV3TrFmzAKhrUU+cOAGVSgU7OzutEQEGDRqEq1evomfPngb1u2a5uLhg8eLFuHDhAq5fv46///4br1+/hpWVFVxdXdGjRw8MGzZMqxZ7+vTp8PLywq5du3D8+HEoFArUq1cP7du3R8eOHbnlbG1tERoaio0bN+LkyZO4dOkSrK2t0a1bNwQGBhrdJ9uY89W3b18oFApcuXIFCQkJUCgUaNCgAT744AOMHTsWDRo0MGifBw8e1DstKCjIoGB+woQJiIqKwq1bt3DhwgWYmJjAyckJwcHB+OCDDwTJEPWd9+HDh8PExATh4eHYt28frK2t0alTJ0ydOhXz5s3T2q+VlRXWrFmD1atX49SpU0hISICrqyu+++47LljW7HvduXNnbNmyBb///jtiYmIQHR0NCwsL2NvbY/DgwUbdMGKHptPFx8cHTk5O8PPzQ0BAAOLj4xEVFYWcnBzY29ujT58+GDduHFxdXbl1OnXqhODgYOzduxdbt25FQUEB2rVrVy7BPAB8/fXXcHR0xPHjxxEeHg4HBweMGjUKEyZMQJcuXbSWHzJkCNLS0nDkyBFs2rQJSqUSAwcO1BvMl/Znp6JIGM1OT1WcrqQshFR1tra2dH0bQqlU17oqlYXjqWdlAUolJHfuqJ8rFMIx1tmxyrOztZtn5+UVBnz8IF0zCDQkmC/Pr1t+0G5MMA8UP5g3tmwi6pqZIaM0gnlLS/VDKgVq1wZq1VLXwJuYqJ/Xrq1+bWYGWFiot8fW0LPbMjMrfM5in/OX5f81FtXM11hV8Ts9NjYW06ZNQ2BgICZPnlzRxSlXS5cuRUREBH799dcih4wjharidV6avv32Wxw6dAjbt28XBMukeimr61zXyCF8VDNPCCHG0BW86muCX9T0sqSrxtyQrgOEEEKQnp6Ov/76Cy4uLhTIE1HPnz9H/fr1BdPi4uJw5MgRNG3alAJ5UmYomCeEEEOJ1Ujz54k917VMWRPbl9jwdMUJ5suwZt6oPvNvuxJwz9np/JYVUqn+ZvaEEKLDmTNncOvWLRw7dgw5OTkIDAys6CKRSmrWrFkwNzdH8+bNYWFhgfv37+P8+fOQSqVck35CygIF84QQQgghhGg4evQoDh48CHt7e0ydOhV9+/at6CKRSmrgwIE4dOgQjhw5gjdv3sDGxgZdunTBhAkT4OXlVdHFI9UY9ZknpIqo6f3ODFaWfeaVysIa6MreZ55VVJ95zWUNUdn7zNetK+wzX7eudp95a+vC/vIWFoV95NntUp95UsboO53UBHSdk5qA+swTQkhVUVWa2fP3KbZfYzPu63q/VaGZvdjQdAUF6udmZsKbNXy6muFTAE4IIYSQSoCCeUIIqYn0JcUzZPmSBPNFlUvfjRGx8e41H/y+8YB4n3lCCCGEkCqOgnlCCClN+sZbr0w187qWJYQQQgghVQIF84QQUp2xNdWAeDZ7zWWN2a7YX0PoK4NmlnmGES6v+VoiEdbKS6VAfj6Qm1uYL0ChEOYD4DezVyi0+8Wz/eH1Zbsv60z41JSfEEIIIUWgYJ4QUjoqyzBfbDAo9hBrbs1/iDXZ1kVfs/PKVDNfVqrSe9F3zvk3D3T9FVNZrneAAn9CCCGkhjIwdTEhhBBCCCGEEEIqCwrmCSGEEEIIIYSQKoaa2RNCiLHEmtJXhWb2Re1fX1/2km7b0P1oZpvX7COvUhW+ZrtGsH3jVarCPvJsrgATE3UfeJWqsK+8SlU45jygbjLPH2eeHV9e1zjzmmPS8/+KMXReUdui5vSEEEII4aGaeUIIIYQQQgghpIqhmnlCCCFVk65x5sXGmy/qAVTOBHhUG08IIYQQHSiYJ6QmK82ApLJk9zYmmz2pHkojoAcqXzBPgTwhhBBC9KBgnhBCSPWgL5gvKCjsW8/vO8+OP8/2uQcK+9Czf8X6zLPBfFn1mec/NPdtyDaMKQMhhBBCqiSjgvlXr15h5cqVuHr1KpKTk5GZmQlbW1u4urpi7Nix6NevHyQaiY2ysrKwatUqHD58GM+ePYO9vT369euH6dOnw9raWnQ/+/fvx+bNm3Hnzh2Ympqibdu2mDFjBlq3bl38d0oIITWRMYnpSpKgr7SS+/HHfQfUye74/6/wX7PPJRJhAK9UFgbuDKNOiMfHJsljl2GnscE8G+QrlYVJ8FhiQXZlVRXKSAghhJBiMyqYT09Px+7du+Ht7Y3evXujbt26ePHiBY4fP44ZM2ZgxIgRWLhwIbd8dnY2xo0bh4SEBHTu3BmDBg3CzZs3sWnTJly4cAHbtm2DpaWlYB9r1qzB8uXL4eTkhFGjRiE7OxuRkZEYPXo0QkND4efnVzrvnJCaRFeT4JrQzL6iiAW3FZXNvqKz6BtD32gA/GUAdRDPz27P0mw+LxbMszX1/Bp7zWVY+oL5sqqZZ7PlG4oCd0IIIaTGMSqYb9y4MWJiYmBiIlwtKysLI0eOxM6dOzFhwgQ0b94cALBhwwYkJCQgKCgIn3/+Obf8ypUr8csvv2DDhg2YMWMGNz0pKQmrVq2Ci4sLdu3aBRsbGwDA+PHjERAQgPnz5+Ovv/7S2j8hhBBCCCGEEFKTGDU0nUwmEw2kra2t0aVLFwDAgwcPAAAMwyA8PByWlpaYNm2aYPmPP/4YderUwa5du8DwamAiIiJQUFCAqVOncoE8ADRv3hxDhgzBw4cPcf78eWOKTAgxlL7EcdXlQcnvag7NfvNsP3n2oVAY/sjLK3zk5gI5OZXrwZbTkM8AIYQQQqqNUhlnPi8vD+fPn4dEIoG7uzsAdS3706dP4ePjo9WU3tzcHO3bt8eTJ0+44B8AoqOjAQCdO3fW2kfXrl0BADExMaVRZEIIIdVBUcPTGTtEnaGP8r4RRQghhBCioVjt1V+9eoXNmzdDpVLhxYsXOHnyJNLS0hAcHAwXFxcAhTX07GtNTZs25ZZjl0lKSoKlpSXs7e11Lp+UlFScIhNCCKmOxPrYa7bA0JXN3tA+85rP2QR6QNn1mWf/ss/ZPvTUN54QQgghbxU7mA8JCeFem5qa4j//+Q8mTZrETXv9+jUA6MxYz05nlwPUfe/t7Oz0Lp+VlaW3bHXq1IFU80cZIdWEra1t8VY0JAFecWv/DBmTuzwplYVNjk1N1Q82M7mFReFwY/ws6GzQxDDqptSaWdLZ7xSZTB0Y8qex2ICSrQmuTAnwqpi6/ORvYtns+c/52ejZh6kpYGJSeO4tLNSvzczUj1q1ACsr9bxatdTTpFL1MoD6L/vaxEQ8AZ6FReFr/l8xxU2ApxnM60qMx19W1zB1hpSTlLtif6cTUoXQdU5qgoq6zosVzDdu3Bi3bt2CUqlEWloaDh48iOXLlyM+Ph4rVqyo0AR1mZmZFbZvQsqSra0t0tPTDVtYM7CuqcG8QqHuU5yVBSiVkLx5A7x5o56em6t+ZGcX9jnOzRXvW82+N7a2l2HU8/gomC8Vdc3MkMHPPl+MYJ4xNS081lKp+hqQSoH8fPWDvdHD3uTJz9cfzIvVzOfmql9TME+KyajvdEKqKLrOSU1QVte5ITcIShR1y2QyNG7cGFOmTIFUKsWPP/6InTt3YsyYMVwCO1016ex0fqI7a2trQU292PK6avoJIaWgOAF5ZQzmDUmAR8nwqgZDh6krqs88IGxaX9Jm9uw0dtv6rv+ignmx+bpuyFWWzxkhhBBCKlyptUdns9mzSeyK6uPO9qlnlwPU/euzs7Px7Nkzncvr6oNPCCGEcMQS3ymV2i0vyuPBtggQexiTVV/fg4J8QgghpMYptfbwT548AaCurQfUQXeDBg0QFxeH7OxsQUb7vLw8XLx4EQ0aNBAE8x06dEB8fDzOnDmDoUOHCrZ/6tQpbhlCiIGKqs3TbGZfHWvmSfXFT37Hr4FXqdRN8PmvAfU0fpBdGjXzmn/FFDVPs3ZfLAEeoG5OT9c0IYQQQt4yqmY+ISFBtBl8RkYGli9fDgDo1q0bAEAikSAgIADZ2dn45ZdfBMuvXbsWmZmZCAgIgITX/3HYsGEwMTHBr7/+KthPYmIi9u7dC2dnZ/j7+xtTZEJqjrIaEqu0ag7L82FsM3t+X3ix7Oik6imq2b1YDXpFX7f8ce1LOua8IZ8LQgghhFRpRtXMR0REYNeuXfDz84OTkxMsLCyQmpqKqKgoZGdno3///nj33Xe55YOCgnDs2DFs2LABCQkJ8PT0xM2bN3Hy5Em0bNkSQUFBgu27uroiODgYK1aswHvvvYf+/fsjOzsbkZGRKCgowMKFCys0uR4hhJAqjt/8HhDPm6BvnuYyZUVz+/qCcF1BOiW7I4QQQqo1oyLj/v37IysrC5cuXUJMTAxyc3NRp04d+Pr6YujQoRg0aJCgpt3S0hJbt25FSEgIDh06hOjoaNSvXx8TJ05EcHCwoOk9a+rUqWjUqBE2b96M7du3w9TUFO3atcOMGTPQpk2bkr9jQmo6XRns9QUKhmyvstT0GZoAj1QP/Gb27N+iHoYE8/xpZd3MXte2+E3wWbqS5YkF88X5TNINAEIIIaTKkDBM9WpPSsNfkOqqyGEvxH7EiwXaugJ4XTV/hr6ujME827w4OxtQqSB59Eg9TB1/KLrsbHUTa5VKPY1tcs0mSxMbmg6goenKiNbQdIDuoen4r9kh7KRSMOwY8uywcuw48jJZ4fTatbXHmWeDaP4QdbqGpmOHiCurYJ7dL79MZmaF49uzZDLA2lo9j32w+M+LGrpO3zRSJmjILlIT0HVOaoIqOzQdIYQQQggpf5Xl/mlVRfetCCHVAQXzhFQHuprX6qqZ16yN5z+vDjXz7F/N5vWk+jJmvHk2AZ5mNntdNegV2cyefbBD6xnTZ54QQggh1RoF84QQ/cFAdQrmdT1IzaTrGqiMCfCKE8zr+kxSlWSlZ8jXaWX5yq1s6PImhNQkFMwTUlMUVRtfXYN5CtqJGH6/fJXK+D7z7PVUHn3m2dcmJtrXMbuOZp95zf7zfBTtEEIIIdUCBfOE1HT6gnljgvvKGMzn5xcmtNMcW5yCfGKIylQzr+t6Ffv86mtyb8xnlQJ/QgghpNKiYJ6QmkTXD/7qGsxTsE504Y9KoK/PvOb0iuozr2tbUmlhKwOZzLhgngJ1QgghpEqjYJ6Q6qKoBHj6au+qUzBPqh9jhvRjGEiys4VN1TUDdnaYOqDwOTu0HTsNKBzKrqyGptN3Y0BXM3vNpvNvh9djGjTQDs4ViqKHoiNVRlFfxcQw7MeAjl/x0VcJIZUHBfOEEP00f/FojgHOH4Ndn/KuIec3q1coCseRZx/s9Px89fJstnN9SfLYrOjscz7NbOqkfGgea/51xk9kp0lz7Hp+MM+nVAqn66opL+1gnt+P38REuA4f24/ekGb2Yjf5iot+zZc5Q796iVBR96/o0iWEVCcUzBNSU+mqlS+qZj4/3/CAia+yBPP8fvNs33lAPJjnD2vGLkOBeuWmb2g6zQd/ec1t8P/yGXq9l5TmZ4z/0HfjgBBCCCE1BgXzhNRUbKCuUOgP5jWrg/gBMFA1gvmCgsJpNCxd1WbIzRQ2QFcq1X8LCgpr3jWb2bPTxJrZi9XUs8vl5gqXEVuWv46u6Zr75dfGizWxNzMTBvMmJoClJWBuri4TW4tvbq5+/+z7ZNeVyYQZ7wH1NPYhhqoyyxX7NZyTI/w6ppp5w/AvZX2DOhBCSHVAwTwhNZFSCUlysvrXYF6e7gCXDYj52Fpu/jL8v7pUhmCe1Ez8GwCaNfOa84HCa1VfMK8ZxJdGMM+2DtFMgMfSlaiPvcb56xnSyoZUemKpUHS9JtrYy57uRxFCqisK5gkhhcSCeV1DZPFf8//q23Z5ErtBIVYzr9ncmprSE0IqAX6KD/Y1HwXz4vg18xYW6uOk2RiFEEKqCwrmCSGG01V7z/+rb93yZEgwL9Z3uqj+1aTy0ncu+csUVTNvzL7Kgq6batQ1pEbg94DKyVE/AArmDcXvScK+JoSQ6oqCeUJqErFkd2xzdP5flmYze13L8P/qUtmCeVJ9VfVgHjA8mKdAv9rJylIH7pmZwL17Ei49g2YwT6dbnJlZYcoJNzeGC+b1pYUghJCqioJ5QkjlUNq/TMuqZp6GpiOElCF+ArzsbFAwb6SCgsJgPiurMIg3MxPP6UqMp3ljhG6SEFJxKJgnhJQ9Q2oNq1owTwghZYDtJ5+VpQ7ms7IKp/NRMC+OrZk3MxMG84C6Dz17PEnx8Y+pTAZYW1dseQipySiYJ6Q6YztV6hpPXnO89dzcopvZFyebfUUH8+x74I8zT6o3fc3sVSrxbPSGZKgvy2z2mq81x5QXy2YvlQqz2bND06lUlMa7imJr5V+9UgeeL1+qp1Mwbxg2mK9VC7C1VU/jD1VHuQZKjp+XgL5iCKlYFMwTQgipnvT1j6/sfebZ7Vex/vAUKBlO12iBmulM2HuPmvcgq8glUe7Ye13sPWo6ToSQ6oyCeUJIoaKGpituNvuKrpmnX3M1j66uEaUVzGuORV8WNfPsc340V1TNPP/zyI8WNZ/z/xqCqt/KBdvEPien6KHp6GtNG//jwf/qVyoLm9ezowMQ4/Cb1ZuZqZvW01B/hFQ8CuYJqWn41T6aTdHLKpt9RQfz/GCooID6vdc0bECvq0k9O8+QwJzFRgxlFcxLpcLn7LVrZiYM5s3M1Ne4hUXhc6m08LmZWeGvb/Y5G8TzB9/mZwkzNnDXWJ5q5w2jWTPP9pPPylJnsn/1CsjIUD8A7Zp5+hrTJpUCpqbqZvZsz7HcXHUAz16mFMwbTizJHfuXPueEVA4UzBNCiqZvaLeqEMxrlp8S2tUcYgkM+cE1P4A2Jphnt1lWwTz/BgO/3AqFMJgH1JELW23LpvFmbwDwa+sBYdBOKhV+OhO2Rj43F8jPL5zPR19d2vi18uwxLCgoTPWiUAB5eRVbxqrEhBcl8JMIsrkHdHUVIYSUHwrmCanuxH4h8hPBaT7Eaub5nQ+rSgI8/n7ZbWt2otQ1BjmpXsTOaUnPc3n1mWef8x+6ur7oGrkBKLNf3JqbpR/3hivqWGk2hNL8iqSvKnH8r3v+Q9cQf0Q3fjDP3ijJyyvMrUn3BAmpeBTME0J0E2uCX9xgvqgM8uUVzPN/HTOMsFxs9wMamq564V9b+mrDjamZ52+vqHVK2mee/z40p/GjFc1a+HLGv2dIisbvDw8UNrHPySlsHp6dXbgM1cwXjf0IsL1UsrMBS0v1PBrMxHj8YJ2fj8CEogdCKg36OBJCSo+uQKKy1MwXFZwbMs48qR6qcs08n6E182xCPKBUq8/FRr+kYN4wmsE8e+z4KU30ff3Q15E2zY8K28QeUN8coWDeOPycm2wPHvbapFY4hFQOFMwTUt3pGmNeLAjQ/PEv1gRfXwI8fcF8RdXM838NF9VnXl/QRKo3Y893ZQnm2Wb3xQnmi5PV3gD0A98wmsGQ5tczQMG8sfi9UPj95tlkeJr/fRFt/JQc/Bp4tsUDIaRyoWCeEGK84gTzFVEzr6smvqhhywghpJyJ3WelYN44msfrxQsJ8vLUQWl2NgXzhuAH7JaWQL16jFatPP/eICGkYlEwT0hNYUzNvGZfec2aec3h6ti/+oL5ov7nL4tfppq/gqkPfM2j6/zyrwHNfu9Vqc88Ow492x62oKBwXK4ybmavK7cmO5430Y9hgPT0wtc5OeoH2zQ8O1udyZ6y2RtOIikcsIG99LOz1R8J9jjScdNN7CuHzV5P/eQJqZzoo0kIMY5m0G5oMF9UtVJ5BPNizez1ZQbX12eeqsmqturSZ16smb2+ZveAeDN7Y8eWB29TEAbzbL9vol+tWsIxz3NytAcaoZp544mlPNH82ieGMaRRHSGkYlEwT0hNJlYDX5KaeX21oJq/CCoimKdfcTVLcc+3MetVhpp5Q3Ng6AvmxfrPFzPAJ8WXn1/4FauZfZ1q5g3DvxfL1ibz8xAQ3SQSYTN7zZ8A/Gl0w46QyoGCeUJqOkOa2rO/KtmMQvz/xQ1psq4ZzOtKPFfaxIJ5pVL4WvPGBPsrkP+Xn41Kc9u6XhNSgyiVhTXLmZn0Q98QUqnwWBUUqJuEZ2UVDk2neT+Gj75ytEkkhceJ7YGiVAqnE93Ybgrsc0B9TbLJ70xM1P3o6VgSUnlQME9ITaGvz7wxNfOaVRyGJJOrTMG8ZgsCfc2Z9TWzJ5VXUeeJ308eKF5feXYfZVUzz5aRfc4whYNna5ad/ayyfeYBYT969mFszXyRdNfcU01o0RQKdU08e5zY+6YKhTqQZ7OwUzBvOPbjwr/UWXS8isb/amG/Mvg/AfhJ8AghlQMF84TUZIYkweMH9mJpbKtSMA9oB/Nifeb5QX8l/AWoZKrv+EBKRlrG708i+CuT0K/S0sa/V0h00zxOxqTsEHtNhCjXqfE0WzBoBvNsbk1CSOVBwTwhhBBSXGUVIRiTAK+oJHhA8frM66BUApC9TXyXAyhlMq5GOScHyMsTDgGmLy9mTSaRFDZhBtR/2Wb2r16pj2Nenvq4AtR1wRD8xi385vbGNLqpydiWDUBhQ6C8PPXrWrVoaD9CKiMK5gkhhQypoddVA19Uzbwxr0sLNY8n5aW0r7GyDObZ1jXFbWav1Hz+NqW9EgBkgoY8gDAtBV9NDwpMTQub0gOFKUnYB/8rlxQfHT/jaP6XLvb1QgipPCiYJ4QIGRLIV+Vgnn7ZEVJq2KHpNNNxFBQAL16oq0MpmBeXnQ28eSMRHIeMDHWtfEYG8OaNMJinry7j8P9bqenXmqH4rRjYfLFKpTq3g0Khrq3n33AihFQ8CuYJIYTUHFoRUSWNkEqzZl5aPjkW+Bnt2WzsAAXzushkhRnrWfzEd9TPu/j4Hwv2NSmaWJ95OnaEVG4UzBNCtLFVa/xb8OyQbkql8Ne5vpp5zSzyYvPEXpcWQ2rmNZP58X8FVqJs9kqmsNOnQiXjTa+I0pQdc6UMOcqyHd9cJgFX/WQmZQAGkEkq2YEszWC+jAJ7to+8Uqbu552VBbx+ra5ZzspS1y4DFMzrkp9fWPsOFA5Nx2a5F0uQR/TT7BvP7wNOiqaZzV4mU1+HMpn2YDeEkMqBgnlCCCGEFBvbFFeRX3jvLztb/QAomNdFMwFeQYE62RgbxFPNfMnouv9F9BPrM08IqbwomCeEFE2zZtCQWsOqUjOv773QL5kahd/6oWilsayE99B4zfCmMxoPvrfTGBUAYx5cwjqR50XQzJuXlaOuic/LLayhZx+A7mC+pn+0GEYdzPP7dRcUFDaCqunHpzSwx5IYRlefeRpJgZDKi4J5QoiaoYnvNNvYVbVgXtcy/HJUol9/bIDJNqdXMhIoVBLefPHlqypzpQQ5yrLr4y2TMIJm9jLucEmgZBgoGSlvmh4SieFdHHSNi8UfR0vzNcM+h/o5IwGk7HIa25ECjOJtVK9gABUDmLx94O1rMADYz64KUCmBHI1f6DLeQ/M1r+dDTo76dY4CyMwEMnPUzcXZAP7VK/UjJ0e9PAUC4hhGmESMYQqbMvMD+kr0dVTp8Y+VSkXN7I2l2Weerj9CKj8K5gkh2vQF88WtmdcXvFdkMF/J8YN49jU/iOQH9vzlqiqFSqL1nkqTmRTgV2+zx4vtM69+bdj1Uqb5CrhtSwqDeX01829jdaNr54ES1cwrFOrm9QUFwgebZoO/PBHSrPFka+bZGlHNpvZV+GuMEEJIGaFgnhBCqhAlIxEE7JrBe1VPiKd+f2W5fYBtyi6W9K5wflGMKWdpNrPnLw8u0C9WMM/WwBkZzCsU6sVyFEBOLpD/Nnt9dnZh7XxeXmGtMwXzumnWzPPzjFKtKCGEkKJQME8I0c/QmnnNMWwqUzN7Q5epIv3l2SBSoTIRqZmvgAKVInOlCXKUZZcZTckwgqb1eHvzwNokX92FQSk1LLN9qTazLywO92A0njMApLzl+KQAoyyqmb3q7XNV4XbYvuxsQGlgM3s2mFcoAEVB4VB0CoW6Zjk3V52NPT9fvTwF8+IkksJjBGgH89TfmxBCSFEomCekpjJ0KKuq3My+GlIyUigZdTTGD+bZaVU/mDfT6spdmvjBvEzCQKECABVylKYAVFCo1H3m2eOpU6kF8+AF8/w+81Lec6hfS99G1YLtyQCpBIzy7TyFDFBJAZO3D0jVryFV70j1tu+9CoVBvfoQFL42oM+8EurEd4rcwlp59sEmcaNm9vppNrPn3xOlr8PSQcfReJr/bfPv1xNCKh8K5gkhpBqp6n3m1TkByu498LcvkzBcsj0lAyhU6j776mC+iDJIjLhxoreVvY4EeFJpYaAvlaoDcIm0MMhnMVJAIgVT8HaeVAoopYXrqCTq/+nZZvXs//r8//3Z6VJoB/UiwXxW1ttg/m2NPFsrn5tb2OebxkcvmlguUTaY599HJcVDx654dAXzhJDKiYJ5QgipItha+cJaeOnbPub82vqy7XNe1tTN7MvuDSgZtv06YCZVgo1cFSpAyajeBvPl3cxeJJgHCoN99m6AChDU5LPLqCRgVG/XU71doODtg82Az1bOA4XN69m/UgiXYV+zSfI0m9kX8JrZK4TN7Nmm9uwDoJp5XaRS4bB9mrWgFEQRQggpCgXzhJDiM6T5veZzQ16Xp0raZ74we736rzrYBHKUUuQo1UF8jlKGzPy3gTzbLFwlMTQZe6WUz0hRoCiD/5rexrQ5UoZ7bSFjYCZVR69m0gIAUihU6uOYozSBIldPU3uJEce5yGb2msE83tbMs8/fvjY1BWQyYTAvkwKmJkCBGSAzA8xMAakMjKkMzGuper5UCkYmVafyN5GCqQUwJhIwtdQbUplJABMJGKkEjJn6LwD1X+nb6dLCnebmAkpIkJklQUYG8DpXgoxMIDcHyFFI8OaNOqhnPz5UMy9Os888IDxmFMgTQggpCgXzhBBSxbAZ3xUqQKl820eakaozm/OzlFdBBYC633dpY2NRXhK5HJkEOVIpZFIG1iYqyCSFwbySMSBYL5VgSzObvci2GY2HZhkMfby9Nhi2CTe/Gbzq7WKqwl0wGrtgqVRvN6WRVkMszQZAQakuYvcLdd3/JIQQQsRQME8IKV1iv0apZl4vsWRrbI0826dbXTMvRY5S9rZm/u08pUzdR1olVUdcSlTpYB5AYXb1kpLwDgQbJ8vAi58lgEqKAimQychgJpVAoVLfSGBUb/ue69x2adTMA9oJ8Nht8/rMMxJeAjypRh98iXo6mwBPKQPDyMBIZWCkUqggBcNIwbzdGKOSQCV9G3CzjTne/sNIC3Ptgf3L3ifiHQpBNvu3DzaI5w+pRsG8fkUF84QQQkhRKJgnhJBKhu0Lzz4HAIVK+jaYN0OO0kSdyE1pBhSYAAVvg88qXisPAMiTvB1KreS0Q2iVOgplg2Q227sEYEwY5PFr4xkpkFfExsssAR7eJp/nNbmXSgGVrPBmBEsmA6Myg1JmCshMkc+YgpFKUaAyAaOSQimTgpFKwcgkgEzdXF5VoL73o3p700RlBsDkbdBuVnQwr25mD7zKAjIygZwC9Vjz+fnqYJ5q5g1Dte+EEEJKioJ5QgipIvgJ8BQqKVQqE0BpBijVwTwbA1fpeF5lTJSsn1TjSEih4g6ODLz25BJww7BzqzDSIg6kMRn39UXzGq+5DPbC/vMqKVCgAlSyt1nt2WLKzKBUmUElMwNkJshnTMBIpchXycCoZFDK3tbQy9T951VSCVTKt8H828R0qlxwwbzKyGA+5+1Y8/lva+jz3ya+YwN6iYQCVl0omCeEEFJSFMwTQkglpZ25ns1eL4GKeZu5nK2NZ2tBoQ60gNIKicuXCSQoKLVgvhB7i0DQG1/JW7LARGMtKTRykxWbrncj2v39bQd1lUoqmK6SAAUFEnXQrhnMF5hBJTEDIzNBvtJMHcwXmIIpMIVSJoPqbTDPvE2voDIp/AuoK/zZlAtKmfov8LZ1v0QkmH/bzP6NAsjPBXILeJnsRTKxU8AqjoJ5QgghJUXBPCFEN/6vcrG+5Prm8dMxs9mxWJW1zzy/LOVcHv645oUJ7iTIKmCzq0vfZq8HlPlv+8jny6DKN0E+pMiFOsAqQOGIY1UxTjAFkC8Iw4tPCmFqOROoYA62FbtK8B+gZh25CoXHsaSMCuYBMJBABYkgAZ2KAQoUJlDJZBrBvAxKxgRKE3XG+nxIwUhlyGfUfee1g3kGKpUEKqkKqrdV8yqZEoxU+TaYV2oH85LCAB9QB+8MgALF2+b1SnXzeqUSVXpYREKIcZS8z35Ry5Ciycog9yup/iiYJ4QUnyGBvuZzQ16XJ10ZqCqAkgFX865QATlKCbIK1FFUVoE68Z0qXwL8f3t3HyVJVZ8P/LlVPbPsOOuyvCU/N8JyDi4BFRFBEPAQFV8iBBWBaJRAdBNAXiLnSE5eyEl89yRHRRZUCCIEBQy4HoKIctATeRFY3gyBLKKJu8CaABFYd3Zmp7ruvb8/6t6qW7du9ctM90z39PPxlN1dVV1d3czO9FPf+2LDfCKQAGiaJUUR6IHhbG4v4RTM58kZuL5Umc+CffnzCYX5Xn1+3YV5YcI8ymEegIJpkeGcrTatNLTS0EJntzC3SkELlR1XAFpEzoj1GtqEeS0kNKTZp32Yz3soqGyMQaGkuTWfufOrQLT6AOZICX7jJSIiAhjmiWguOqnMM8zPS9Yv3hm5Po2gZAQ0G3mYVzqrxM4CmEEW6KW5BYYzzDfQu4q4H+aXQeQxeAwCTVQnhbPPccO8CvR5t1X0TnRfmUcwzKdoZOMkOC0XtG5AigZUmlXim1E2kn1TxNAi65qhouxnReus770C8lsgq/rnzex1oJl9+fpBNsgdAO1U5fJp6bBojVuIaIGxMt8brMjTfDDMExENCNu8vqjQF/eLpCdKSVKjaFrvN7MfxjAP9DbMu03tUxSz3qWIgo35uwnzneo2zNvX98N8E3E+xVz+HCWgZjUUNHSs0TSD2zVTDZ0qyFhlwT0GdKyzAfAagIpiqEY2XL+KAUQSEHHWFN9WvkUMLWLALvY1JQDEEM0YUQLECoAEGikgzKgEeWXeDICnu6im+5V3VuKJiIjCGOaJiJYY5d0Ok37Orqcg0DRxOEIRlt2o7oZ56dz3LXyYb6CJBjRiaLcyjwYUGlDNCEpFaIqsEt80/e6lElmAVwJaoXjjzgeg7Hozqr92myu4i2U+mDQ1VXlvSAwiIiJaGAzzREQDqKjKA4lNuIHR692HCn5FefjY99ELNqPa42V5tbMp5dwB8BYvzGcpWiM2YX4sEObHIDEGpbIm+E00oKIYqTZzzcWNbJo7MwAeIjMLQmTCPWxlHllgj83sgEApyLt95pXpM586g97l88t3M2MfERERzQvDPBHVm89o9sPSZ36A2cHwis7LqHTWdvtY2yV11g2jXk0JB5TDvK/d52Ob5C9OmG+Y0N46zEuMQdrqPBrQzQYQZftomIESI1F0ko/Mz1Lk/POsqcwrJ8irUJhXpjqPLMxrXd4PcF5jHp9Xu8fDir/2iIhovhjmiYgGnQYgG8WCBhQiSMT5SPbuiPZNDHOYz5rC94oN83ZsgRlnW7tXmTW3dWG+8wHwwuVq7fXazwM4wmEeWIZsPH73eeNmcfqVKwCzIlsgTGVeFE81Y+ipRvYOVDwLRAmUiCFjmfdRV6avvDJLfngFSMSQiKE1IKOs3b0AIAL927WIg+vr+PsKpw8/RFzbtqKbfvlERERLAcM8EdGAss3s4S+O0OaaXSsGsSjYjz7zfv9zBO6H9K7PfF2YF5XHdp3K7xe34Q7sdeu9k/UW7f6A2EY1KG5R3lz+3HRnP19ERETUXwzzRESDrBTCRClBqRbLDNqH4kEMY2N9qszbluSuTl8lHOY77xw+lzAfDvCh0F6J2qi8M43iyoQ2zejtrX2G1qX55oGid4fymtlXwrxoPe+UqJ7R/LACT7RgbHeQfPpJsyQJMDOTTavWamq1sTFgamrhznfQdDLt3PLl3T+HyOoqzD/zzDO49dZbcccdd+C///u/8X//939YuXIlDjnkEKxbtw6vec1rKs+ZmprC+vXrcdttt+G5557Dnnvuibe97W0499xzMTk5GXydm2++GVdffTV+8YtfYGxsDAcffDDOO+88vPrVr57buyQiGgJSR2bAuwYSFSNRsenrLLJRylQ22Zoyi52Grm5pNbUaMJhhXiPucZjX+dH8yDmfV+lHmC8H9U7DfLv9io7v2vR1h7m1I9Arc41IecFdtQrzLRoCENHo4Dzz8+d+Pgzy1K2uwvw111yDf/qnf8Lee++NI488Ervvvju2bNmC22+/Hbfffjs+//nP453vfGe+//T0ND74wQ9i06ZNOOqoo3Dcccfh8ccfx1VXXYX77rsP1157LSYmJkqv8dWvfhVf/OIX8bKXvQzve9/7MD09jVtuuQXvf//78bWvfQ2HH354b945Ec0fB8AjIiJaktw/67Yin6bZkiTZEsfZbR273yjqJJgzvNN8dRXmDzroIHzzm9/EoYceWlr/wAMP4PTTT8fHP/5xHHvssRgfHwcAXHHFFdi0aRPWrVuHCy64IN//4osvxqWXXoorrrgC5513Xr5+8+bNWL9+PdasWYMbb7wRK1asAACceuqpOPnkk3HhhRfi1ltvRaPB3gFEtPRkfeSFWUL95aul0E76zHc6mvog6HVfbNmifLxQlfn6EnY/K/P++Rb95GsnpQAqfeY7HX+BiIiIFp7fhbClt73tbZUgDwCHHnooDj/8cLz44ov42c9+BiDrf3fDDTdgYmICZ599dmn/M844AytXrsSNN94I7VTjNmzYgDRNcdZZZ+VBHgBe8YpX4F3veheefPJJ3HvvvV29QSJaAHUV+qWyEC04O8lgt4tEtUOBifg6O6yoXTQilZSWuAeLPY7QEkKzvS3RUqBU0YSey/wWovnoWYnbVsvt7ebNm/Hss8/i6KOPrjSlX7ZsGQ499FD88Ic/xJYtW7BmzRoAwMaNGwEARx11VOX4b3zjG3H99dfj/vvvx9FHH92r0yYiIiIiooCZGQGts+bgzSYgRLHMzADj44D3Nb9k112BF18czQE24hj4nd8JFwRs8/rx8SzQs7k9zVVPwvyvfvUr/OQnP8Gee+6JtWvXAgC2bNkCAHlQ9+2zzz75fnafzZs3Y2JiAnvuuWft/ps3b+7FKRMRES2Q+Uy2Z5vN20q9RrVRXWQW4ewzBr9xvEC2SqvsfqTcDfYLegphRqcXdl53EUNH48GzAlCqtoe+svvr/K+2iqPTEw28ulHtbYW+zqhXn/33ztBOvTbvMN9sNvEXf/EXSJIEH/vYxxCbn9Lt27cDQO2I9Xa93Q/IRr7fbbfdWu4/1WZ+i5UrVyKKuuo9QDQ0Vq1aFd4gZXmEGfvXw448IyWwyy7ZYte9+GIxp0wcZ/PHaJ2NbDM2lt0KkW0TIjuG1sUlefs67l93t1m6fQwU+1jDOgBen87RjmLfiGJILZCoCI0ohkKEnaqBVAoAMSAjIIkAGcMGujGzpOZYWZyLkELko9gP02j2ADC2QLOmzq/P/Pz/zvjH0IjydcU2AY0Y2Z/rBoDiv30mNkvDrB9DbQ+6GBARIOyuDecQUQSIGDpenoV4ZGFem0Af+WHehHwAEPHy0voKc5zIbNP+Pt5jP9znj825SO9c6o4zDMbHd13sUyDKCQHYYamiKKsa21tbgX/JS8rLLrsANV/1c7vuumvfz30QxTHgf22zYd6tzE9Olr+OMfAPp9rv6H02r29MSin89V//Ne6//36ccsopePe7392j05q7bdu2LfYpEPXFqlWr8MILL4Q3dhLmZ2ayxawTO3YAO3cWS5IAO3YUw9SmKTA9nd1vNovg3mxmi32dNmFeasEw34YN81Opzqemm0qB5xONdBaAFEASA1KZIq9EFkVjJEC+pACaABIoJBjOqenG0EAzvzQxuHoR5usr7O42O0u7Muv8MN9AeeA7P/Br5LVx250+RSDMZx3nRdyEMBfr8ut2IobyArS2QR+AdsJ8JagDeQgvhXKHXe/f+tthWgj459LytQfY+PiuSJIXF/s0iHJCFH+qoyh7HEXZYq/3j40By5Zli9bZ14pWX70nJ3fF1NSLC3L+gyaKACnLf2ndEG9vV66shvnxcYb6YdLyO/o8j9vOnMO81hoXXngh/vVf/xUnnHACPv7xj5e22wHs6irpdr070N3k5GSpUh/av67ST0RENNxCzfHdBu3Kue8+xy5AMfidRNE836Pt5qi0LnIH0ndfWkhEesY7rThcCQ+sU9F43lw/tI/bEsC9DYVzoSVQM4heXa/cYQv5RIMs1My+FSnb77OUjXIXA1oYcwrzSin8zd/8DTZs2IDjjz8en/vc5ypN29v1cbd96u1+QNa//uGHH8Zzzz1X6Tffrg8+ES2+rApvHpj7penVrHaPB1WfzrGYkq48NR1RX5mfsUiZO3l4F97jQMN9IbMFKIfzuuDshP/aZvY1t+5FgFb/LHTNxQL3OeyfTzQ/7hzzO3e2D+pCZI38RlEUVVsthJrRJ0m5Ik/Uja7DvBvk3/nOd+If/uEf8n7yrjVr1mCvvfbCQw89hOnp6dKI9rOzs3jggQew1157lcL8YYcdhocffhh33313pcn+nXfeme9DRIsnC+wmbCoT3pUAlEAidfHNWcGEeQEoXS4QDmuY72pu8c5JM3+8nVs+n2OeqCNuZT4bAE8ghYBAaJo6K5LmOfbfn8jGWVDmx1wJAWT/tCv/PpVdD0BhxlkfqMxrWa7kd9jM3obzvFm9CfPKe55V90+GYZ6of9qF+U6q90tZ3Xu3FftRHyCQ5q+rTn9ukH/HO96Bf/zHfwwGeQAQQuDkk0/G9PQ0Lr300tK2yy67DNu2bcPJJ5+c980DgBNPPBGNRgNf+cpXSs3tf/7zn+Omm27C3nvvjSOOOKKbUyYiIhpCqo+Lx2k9EyntLMrcAo2OFxlYkuASabkoCxF1xg5n4y6hZvZc6heifuuqMn/ppZdiw4YNmJiYwJo1a/CVr3ylss+xxx6LAw44AACwbt06/OhHP8IVV1yBTZs24ZWvfCUef/xx3HHHHTjggAOwbt260nP33XdfnHPOObjoootwwgkn4O1vfzump6dxyy23IE1TfPKTn8znsSeixZNXjjUgbYlOCcxI4QyABzMAHgAVBSrzQzgAXp9InV1XTVTMqjz1gO0UH6GozPsd4r3dVWAXAUDobPGu/buTWgihS+t9AhJayLbN6P3bfHt+oOJxuxHxiag/lCqa2u/cmTUlb2XUm9n7790OKGhJWcwWwCb2NBddJeOtW7cCAKanp/HVr341uM/q1avzMD8xMYFrrrkGl1xyCX7wgx9g48aN2GOPPXD66afjnHPOKTW9t8466yysXr0aV199Na677jqMjY3hta99Lc477zwcdNBB3b4/IlpgeRC1Yd+OZl9pVi+8xwt2igOn3MxesN/8yOikbNPtAHjubRPVQfAEgo3ytAB0dtHNBvLY9pcX2fU4/7SUGUBPOT+naeDQQuvsn7vpY6/zvvZ2h9YD4OXz2IsYWksILaHNgHqlEfJNc3z/n437iQktOVAeUQfqKvJun3k/mIbEcRb6R1GjUZ5oCMg+r0ajmBQojoum9nbhKPbUDaH10iqH9WNaAKJB0POp6bZurU5NNzXVdmo6maRIZmUWNKWEVACUgpQKMymQ2EKgOzWd394sGO6X1K+irtjKfNFfPsKMjDAjBWQSm6nplkHJBqAiSDSgEGEWMf4PEaYBzKCYmm7GLEWs49R0vdabqelCAqk5n2puF4SnpmsAsCWd5Wb7uHMbI5t/3h4vdO7Fem1HuTdhXgtA+d/Y3TDvfPEMhXkVmWt35iqBvY6nvDDfUZ95MzWdNkHen7bOfV5xrsXjNBqv7Te/0GGeU9PRoHHnmReimGd+l12yOebHxrJlchJ46Uuz9e285CW7YseOF/t63oOq0QD23LP8l9aGeVvPHB8H/t//A5YvL+acd+eep+EwlFPTERER0UKqq8zbiePh3HcX+2XSBna32m85zWPshTWTugWcaessv8GAEazS5S+p3cOaOewBLczFm0rF3j6/CPOIxoFoPAvu3qB62lTwtTsPvRfQW/WZr7u4xUHzaNSFqvS2Mt/O2Fi1Oj0q7OfkshdLUvNrr5PPkKgVhnki6pjUkVlMX/j8FqaSXK7MSyXaVuaLqesGsU68sNzKvNRAU5n2zfbWH1EcnTXUpt4Tffrkq/8K/KHk/WBp/4zbfdwAb5vYx2Y/u006j1spz0Nfe6LORxGH+sz71w+cWx0Vj5XQ+Sj52t1fJ8XzbGCHaY7vBPc8zLcI7HMJ83PBCwC01NgQL2UxJV0nIV1KYMeO/p/fIGo0gGXLyuvcvvFRlH2OU1Oclo7mjmGeiHqm1M/b7fetBap95LV5jn28sOc6iCpT0+lAMqIR519ECPWVt7cCdqq6jBv0NYqvAO1/zkRgn9i8VqRbhH4g64pTE+ZRCvPFoiMBbZrlR07DAq2TLNNrCSXiPJxrU5mvhGgRl5rPR0DpAoBrLr+CGNppFNm+851UldO0qEKPIv+923EG7OcXRaPbcoF6g2GeiHpGaiApJqk2lXmYEnJ4wDtb4c8HyxthdgA8pU0V3pYo3cWhvIWoGubdW8s+lqgk6j4QAOBOWBEK9ShGyBf2CaZZvrCtEfL9EkDE5rjSeQ2ZB/3K69v7nJqOaE5CA+ExzLcXCvONBqeto95hmCeiRWPDazHy/WKf0eLKgjxK836XlpJ+NfSmpaVVmA+Vy+vUb2/3zMhrzp+Hei/c503rza+E4sDa2U+YwfeSUn94GY0Xwd4L7KV/Olrm+3X8Plh9pxESmjW2br75TirKo9RnPnRxIxTm7QUOe7/ZLMYqlrzeSF1imCciIhpYbhS1lXSXTcDS2Uc7+7qJWQce29Hy3cchc6/ch87YUioKd933Z7tw72sUgZyVdqK+cYO7DZnuEDidVOa1Hp0wL7xfdlGU9Yd3H9tw32gUFXr38yXqFsM8EXXN7QsvTRP5RIl8AdBRM3u/Mq905aVGT96kfrFPhIZDXZ95Ww5yR7O337xjFAPjCWQTGtrtkbOfPwVeHXdbq2RevSAQuafsnJn7458HBnPdIYoB3RDZgHlR9j5lI4GMl0M5U9TZ0e61M+q9tuvR+VR0rQbUc7H/PC1FNtDbsOlW7jtpKu4G2KUuFOZ37ix+h7lN7P3FnWeeqBsM80TUU8UAeG5Y18HqWrVZ+Wj3mQfgNa3n50Gdqgv19n67ZvadHj/E/aZeNzddaFv4tSNvvbBX+eykDhrQ9t+G2aS1rB3NvnRhwN0v+OpVnYR5BnlaykJN7IFqeA3xJ7NZykKfhzu2QCjIE80XwzxRyHwvjfbj0mqS1LdVk7K8zb6+fY7d7i6205ZdQpeKlfL+iqN6P3Q6WkCqGFKZsC4FIN0Rr00ZPq/K22MyvGafR1SEeSWyz680V5eAbfBAtPjq2sT3RqnrvFmE1tkI+27/e6/PvN+hIFtZ9Jn3f9u4VXsiyr4CCJF9hbCB1P657tSoV+abzWy9Hbm+7qsWK/M0VwzzRKHfnIMY5lv9lve32fvuXwd/WaxLwvYLuYqLwCqdCwSjTgsnzCOfq0s7zZ8TRJCIkZpB8BjqR1mrqencW6CojNuG7ArlanmrZvad/pSFKvOxd1x339DXEFH7qCGLcfCU0BA6C99CaAgkWW8eM0Vd3rzeaXrvVuZ97q8fVtpp1NkKvBBF4OykEu8bpQq0//nM5fMi6hbDPBH1n46KS/l5Jd6pPmuG+Zwf5t0hvol6KjRnfV2Y72Ckq9r9NOrDvLuug59zDcQK0LaXgP2lobJR7oUANJI8xPvzzJf6zHvzzWfXzhjiiSz7Z9sN891W5kep2hwK77ZVg3tRZJQucFD/McwT0ZxIp997NhCeu2TbVR7WhRPmiwHvsnnUURQK2cw+o72lxSZe/1haWk04qFsGXRtC7bzxbrvWBqrBvOHsK1AO8L0O81FgQc2tXVq8VwUI03TVPlVocynAtKkXQgLClPFFDGhZhHob4kMV+k7X1eHFAFqC3Cp9t9XmUQquocq8O/L/KH0WtHAY5olosJS6345ouHcveHjVSgnhLMgX5dyy6f0omjW3ftN5oFoBd5u31wVqX6sw7/47De1nLyaEwvw4igsRbnN89wKEP1p+8e8jsl+UdbZFRlnDFmUGy4MAtJCAnoEWcdbM3lbmtSwq+DD/3ALBfUSKikQAqlV3+9hW14Wo7tPKKFbm3Vu3RQOr8tQPDPNEtKiUbYKvAlOyjWyYrzY91oigIZACSBFDAuZ+tvC7AWU6/Uno5U9Mu3+nrV4rby/vHccfjd9l/324bVNG9HcF0QLKG9h1Eea7bZa/lPizADDQUz8wzNPw6fUl3qUwAN4wUFGp4qxlBChAq8iUlENzq4/mF3Rd6UcMSBPgm2Yke3/x5+YmKgv1jw8LN/WfT2Xerg9V5iOUh6Sva+bvHweIEBX/VlQj+x1iKGFaqES24i6gIctT03lVeMkm8kS13FDOMN+ZujBP1EsM80QLba6BvF2Yn8to9p0s7aam04BUOu8rn7j94G213X6z1s5E0TLKplxTkelcz4HeCtUQIxGVmtVLsM/86On0W6D/UxF6LLxt/m27Y7rcf7Oh/ezkcP5IDxrVRux2e5e/D/gPgagnQsHb/RpQt0+r441amOco9rSQGOZpuHUajDsNwd0ct9tjdnPskF12AWZmOjtuaJ75eQf5LkebV3F5gLv8vgn40lTkOVp7G6JUdfejEBER0UJwR7fv1Cg1Ka8bAM+9TdNsYXN76hWGeSJaODoylfgIKs1+/aiOR8keHW54t4PapeZ+4mxPg8+m0TbfPvN16xejmb1/bCAbMK+GU/gXKN/XOpsLQGhZDHLnNbMvbWOTexpBdRV0fzT7birPoxRY7WfjtmCo6zNP1CsM80TUW3aKOY2iw6oyA9zZpaZxghtQmxjdQd38ob+yvvLZ55Mg+4w0gJ0AZrx1CsW45kRERHPlh1KG+db8z8ZW5KOo2lWBqFcY5mlpc/uOt9un3bpu9ulHM/u59JkfVBpQpuKWTzFv7u80u/gjtI/IdwEA5cp8uzCfohrms4XdFqhOrycv7Ndo9nZb6DdBoAWA1yVf6Gyx9wGNqJs544kIQDnUM8zXqwvzdvEfE/UCwzwRLQrl3Lph3l3PMO+G8/Jn5H9eRPMzn5+khQrz7kB6ATXN7PNtAKB11pweqDSzh5blbWxqTyOo15VjVqOJ+othnpaOVhX2uW7r9vXmu60VO5hdN8ftZCT7eZA6ykext/eh7RR0kekjDyDVQCqgTF95W2EGij7hbmXebh/VMA+EK/P2cSjQlx+zKk9ERL3hhvFug/mwz6rbjVCrBSnL3ROUqg6Ap9TofEbUewzzRLSo3DCfomhO7veZH/UwX21Gn31GKYouCSx+EBEREY0OhnkimpesKl8stmmrVlE2/ZzKdtJSQMsoGEj9MA+wMm/Zz0l6j0f186BO+D8drX5aOp1NYhBGsxcAYth56O2ElvmMGDV95nmRi4iIliqGeaJW+tGUvpNB+ULm2szezjNvn28nOa1b2s0zX7nvrVM6D/CQ7v1iLnmNbMT1FNlo7Pb7d4qimf1OMMwD1fDu3vcHCSTq3DAOgOcPhufxwnx5ajp3nddnnn3jiYhoSDHME9GCS73FDfOpc59hvnWYH9XPZFSJnv4Xz46lB6IyP5cwH6i314T50u4apUHuNIM8ERENMYZ5IuotO8e8vxgqsPij2YdGamdwJSIiIiIqMMwTdWuuc9d38/y653X7mq1Gse9kISIiIiKigcQwT9QNN1CPQpgP9ZlvR6NSndcqhkIEhTgf9K6JKB/wzh0ALwGnpgth03oiIiIicjHME1HvddnM3m9az2b2REREREStMczT6PAr160q5HXblkJlnoiIiIiIhh7DPI22unDuBuC6dQsd5sfGgKmp7l5TSqDZzEJ8mmZT09n7O3cW09XZKetCzeyJiIiIiGjgMMzTaPIr1nZdaHvdumGpzC/2gHa2D72ZdqpVM3vbh55T082NajvfNxEREREtFQzzRJ0axjDf7YB3LQe/63AAPCIiIiIi6juGeRptS6kyH6q8D8GUc/71AX/OeYtVZ6JRZX8TCOe+gm3tE+WPo2ImDaA0+KbtMRRpINLSrJPQWgLO49J92Od0+bu6Q/06LhERjQ6GeaJO9TrMdxuq2w1g102Yn2tlnoGaiAaZO3uGc1/YhkUaeWCHlhA20AMQTpgXWuaHES1Ct3BuRWB963OVLY/d9ukinvNziYhoaWCYJ7IWqjJvQ/eghHkioqUkEObL62y5XhaL+9jez4/Xpwq6+3pzxUBPRDTSGOZptPWrmX0noZthnoiIiIiI5ohhnpaOdvPF1wXzJMnW2dvQSPcAMDNTDsDdBmt/W7dBemamOMdOX9MN7Wkann6OgZ6IlqpgZd7e70Nl3u7bScVcJdkyVyIOv84gVesH6VyIiJYghnkiIiIaCdkAeNl9rTXg9Jmv3DfPabQI3MqEVSXi/L67vpWGSiDnEeZ1B2G+k/NopxfHICKi/mCYJyIioj6rawHkzlshAuv9YeWqo9nbx9mo9lG5+i7KixAC2hwi2y2tP+VOQmw03n6fuqdq2dGI9gzTRERUh2GeaFi0axLfy9Hsg3PMB+acL922WOd8uxaBBSi+e3eD094TDZPQ769QmHf3E7CTzxX3Y3OrnPt5lC+eqQSEOWY+GYcAYvMyOsoWRFmgF5GEirJKeRSN56PFRzWBXYkYkamsz6UyH8fLEMmZ6gb3uS2OMyi//3ixgYho8TDM09Ln943313XaZz7U37zOfPvMh7YJAezc2d1z/PNN02K924fe3g+9xzmGeaG1acZaf8pEtBTomvt12/0O7HXDz/sd3kPH1S22O2wh3y3um4flZ9vf+QmECal108wJp5m7EHG+f76tDaESiFAzey/M1x6rVTP7Nufu4zR3RETDiWGehl+r0eXrgnlovT9Ynv+cdgPHuY/7EeZt2O5G3TnPtypPRDRnyrvfbTN797Y+zJfmfjfXFSOt8pfznylKdX0JiDZN4L0w322T+06b2ddp9ZuY1XIiotHAME9ERESLqF1l3gZeYe575XVo89gN48UzKi9jB5z3CvtCm3UwLYvyPkDhQeqEQCnMx06VvRKlA+E6jpdhLJ2qbnfua6/5vrtPqwHw8pEFOgz1rSrz7Y7RcruIkc5jXAEiImqNYZ6IiIj6qNX0l25lXqMayP3KvA2Otp+8fU6KaqNykVfbS0dRxSO3uu22A1BAHuZVTWskFQloW70XsvWAeaH+9FpCmMp8XZW91LrAoWvWFzt0V/FveSxW+YmIBhbDPFEdKatN5xezmf1c5oTvtpk9EVHPtRrJvjRkHToP8zHKVXxp1tn9q1X6nFOhF84piAiI7NOi4lCiJumKSOf7yAjBZvn5dQNnW94H3u0zXzfoXaDPvBZxoK+/d24mzPunzr7xRERLC8M8USc6Cb9LIcyzbzwRDSy3XXyK4iuMfeyGeSDQ2B1w9sgn2pDOCvf6gPCeEDodG/i1/T/vtQLHECbYCzkDYUeztyHbbzrvhXnNJutERORgmCcCIP7nf8ojvdsR3t3wmyQLG+b97cuXQ+zY0dkb8o8TGs1+zlPSdTo1nbNwSHuiIdevljv+AHjKW19tOp+tt2G+mJau3Ew/crajtJ8wX30qGV2ZSj3Kg+HVjmbvVu+j8I5xIMxrE/o1fgPdFFlz/lJz/aKJP0S5ZYC2U+aJGDIar+0zL0zoF374r7kYULlIwAo+EdFQYJgnqtNts/R+h/mFrswTES2I0Gj2dn1onRv4rRTlYO/2p4e3zR6zGljd7N32t6Dy7odSv/+S7n2ZLcLtGC+cxTwuNfPXCXRsgrftF8/gTUQ0shjmabTUTT/XKuiG1g1bmCciIqOzi5XtWtl3dMhWL1U/q165K4D3HKFl1sK/1SB3dpu/j24zUB8REQ0VhnmiToSCfJJU9wndDx2rk3387XFcfc1Oz9ve95vZ264D7gUNrcu3vBhARIuiXWXem1uu7bGsUMf4shbD59XvHzqNQN62Teh1mi1+Jd5/rErN7AGlJRBJSBvM/XAu4nz+ev/ltdleOSfvsXKa3esOR8bn3PZERAuPYZ5oPuoC/CBW5lu1NGjXP56IaGCEmtmbNuuVoG4fu6E9de7XdHb39uh2ixX87WlW2jCvA2E+nxbPOz2hTQcCDQjI8JR4ZrR7AJWR8O12oDyyfaXKzyb8RERDgWGeli6/Kb1dQttCFWy7ANmtPwCefWwNYmXefz2/Mi9luRLPIE80UkSPB7br/jeG+/qhKrwvchY7lV0DxaB4bh95/9YP9rZPvR0Yzw2ubWdyrxkrv3O6CQiI7Nesdj47J9xLDajSCHjFmKIRABWJ6pR47mN/WjsgH0Cv9N/KC/NuNd7eZ+WdiGjwMMzTkiVNoUYm2S3sLVAUcZJsESmAxA29KnucmnX2cSnMa0A5X4fq7vvstnb7eNuTWCFJ5hCu3dezBSmFYkqm7Ntddqta3CoBqQUDPhEtIjfg70Q5zLtfaepHsy/vF9fcd/evU3d8f596blE+/83q9BzQ3vUM7czGZ5v2a/9lBSCQXfgNVuaj8cqlCs1KPBHRUGKYpyXHLb5DFrf5Ai/gJ4BIIyA134gUsvvuOnvfdte0+/ijGbv36yrvoRaioX287ckcC/OVmZ6A4suihAnyJqQrcytRvlWiuBBiQr3UgNQ6v09E1Dt1vyDzK5DmsY2lbhN7oPVo9u5+db/EOwnzdcf39wGKVgSo2c8L1866cuhGd0MFEBHRksYwTyNNSiCfW9gPva3W+dsRuF/3XXSOYV6qbOmaH+Dd+zbElx7X3dpRm0QpxGcLAz0RLYbQL2N3W91zLF1zv5Mwb/frZP9qmBeIEHXwGsqJ80IHAn3gd6/If9cH+sJrWZl6T2hZ6kNPRETDgWGelrwk0MzeVuZlE0AKiFQAqR1xyNx319n7ylnsY8u/7z4GnL7rHTaz95qzJ7FGks4hMdvjaKfpvu0PL70gnze/F+VbJbL75r1JpcxzdPm2s0mciIgCOvn95lfmgez3ThPVMC0RDttuwHV/Z/nN7Nvpppm9DfNuqB93nldfrS9NUa/M49C4fnD+7JjtwYHt7NR27mov4NvnafcYDPtERAOHYZ4IpuKtnDDvLu66VBf92VONln3m/bDuh/hWfc8Dg8/JVEO2ugDQ6lj21g/zNrx3uiC7rVbldX6fiKieXy13B63rRCj42sp8aH0obNcNutdtWK0L86Hm9KEwH0Hkzwt/Hcu2lt9XPmBei8p8/ucjMLCdNmHe1dnkc0RENGgY5omwQGHeDdXubUgozMsFDPMqdOs2sw8FerCpPRENkE6a2TtN2OfUCX1+Yb78POHtb/f2R8FD1j1MAMprAWaHedH572vvqYEwz1HqiYiGF8M8jR4zHZ1MJGSa3e7caUanB4qgnphboHicoCgCzapy4HbvK4nqMMQqfBuiVWW/ZSrCTNLs/v3mYd47Zj7AnV200/xelW9L0+4BMjXhPQUSJSClxkxajEFQ7ocPlB8INsYnoh5rN6BIqHLv6/Y3k0b7MO+2hw+FeeHs504qXwT8yEvkCrb7E8JvWzjvRHi3ppl9eX+GeSKiYcUwTyPFjmyfJFl/eZmaQBrqM18K8zAj3zuV+TwIB8K5UtWwPs8wnwiJJG33hbXmWPkx3co8nPegy4s/dV1pvCiRDcaX37IiT0SZbuet13Oa577uOX5Yr3tc99WnLszXXQSoa8bv3tpzDYX5GEWIV94xYucY5bAd2aq9GbzVLc5HujpcCxERLV1dh/mbbroJDz74IB599FE88cQTaDab+OxnP4sTTzwxuP/U1BTWr1+P2267Dc899xz23HNPvO1tb8O5556LycnJ4HNuvvlmXH311fjFL36BsbExHHzwwTjvvPPw6le/utvTJaqV2CCfADvNFHUyn3YO2RTGdl72VACJANIY+cjuaWzCb9H8PKd0+bG7XQsTrFt84/JGjweyf6xTzTl8Syu9rg3zZikNgOcsLcN8uTIvNSClcPbVxRR3RERERETUF12H+S996UvYunUrVq1ahb322gtbt26t3Xd6ehof/OAHsWnTJhx11FE47rjj8Pjjj+Oqq67Cfffdh2uvvRYTExOl53z1q1/FF7/4RbzsZS/D+973PkxPT+OWW27B+9//fnzta1/D4Ycf3v27pJElZXk0ezuKfdJ0wrxZkHph3i4wt3kTcpQDrzMwXE55j+HtVzNoUWlf5VXmI4VkLnPTdVSZR1dhvtz33r11F1vpd4dX1mxkT0SOuVTm53uMtGZ9t5V5d1vdqPRuZd5/DfcPhf8e/P1qXls709DBVOZbnC0RES0tXYf5T33qU9hnn32wevVqXH755fj85z9fu+8VV1yBTZs2Yd26dbjgggvy9RdffDEuvfRSXHHFFTjvvPPy9Zs3b8b69euxZs0a3HjjjVixYgUA4NRTT8XJJ5+MCy+8ELfeeisaDfYOoC6ZfvL5orJFJolZACTShHkFpBJyp9PMXiELtlJlg9BpnX0fdAeqK/WZ16hUpktBWmfnUEerYrvtM69jzCTzGHO4dOFBoHJBIp9z3jazN+3ntfft0K4Hss/HVvjtqclsijutImgVAVpAIfIWIqJe6dVvlG4vNHbyuvMP86HfmKqrGQCIiGip6joVH3nkkR3tp7XGDTfcgImJCZx99tmlbWeccQa+8Y1v4MYbb8S5554LIbI/Whs2bECapjjrrLPyIA8Ar3jFK/Cud70L119/Pe69914cffTR3Z42UYlU2WKr8kmiIHdqKAUo0z9eJREgTV9FVTxJKQ1oBZEi2Lc9219U+sQL81hold1v1bHR3W6e97yKoZKxub9p91yBosIerMybEC8j+APgCbseMBc0ACGdwJ8iC/OyYT6HuZ8yES1tAmqAfkX0IswzZBMR0cLpW4l78+bNePbZZ3H00UdXmtIvW7YMhx56KH74wx9iy5YtWLNmDQBg48aNAICjjjqqcrw3vvGNuP7663H//fczzFPP2FDfTLMQnyYaKtWIpM76yadRHm5FKiBM1TnrMx+1aGYftW9mr1p86XO328YBSgCJXTeX5vbeOYZCfH5uJoRLUT3XUmUeRWXeDfO13QgG52s7EQ2jVr/7/G3tBsTz9WIAPH/dfAbAC81B752LMocs92bKf9XaJvj8zUtEtDT1Lcxv2bIFAPKg7ttnn33y/ew+mzdvxsTEBPbcc8/a/Tdv3tzydVeuXIko4pXxJU3K8n37OElKm2WSTTs3FpmO80mCZCZbp5MEOpZI4whRnCCNZyDjCKnOmoVrnULondBaZa3jdTbVnJIRtK3MSwloDaEVlBZ55R0AhErbVuaFquu3afa12+3zmgqAqczPdXC5UmVe59V6Yav2drED+MlGuM+87btvQ732Bwlwv10CdkRmOxyBQPE1NkbxNVYCGEMEDWGGKCiOoQJftPkFdWka40QrI0XPs5pd93x/ffvXCYf5+uM3UA3z/jo/iLthHihCe+ysF95Sc96xOXxcnHoUAXEMCPMUEWd/M7SZfk7Hy4FoPHts1qloHFG8PHts1slo3B4gvx/bdR47T31wvnoRI6p5Ho2O8fFdF/sUFoQQ2RKbfwpxDIyNAY1GsYyPAy95SbZMTGS3k5PAqlXZMjkJrFyZ3cacNXKorFq1alFet2/fmLZv3w4AtSPW2/V2PyAb+X633XZruf/U1FTL1922bVvX50pDpsswP7UtC/NyxoT5VGJqKsHMTomp7VNo7myiub0J7GwibUZIJQCZQpoqfaoEoATiVABNDa00hNYQqQaUhpYaSmfNz5UZ7C1S5UGJgOKxMAMWRS0KTO72/HljDTNSH+YR5p3nOeFdOEu5Mo9KmBcaELaZvekoLyrhvfwFOBtyQJtxCAVmAUwjC/azznOaAJqm2W2z/LIM8yNiDA00awcoo6VovmG+vnLe78q8u61uajr32Nq5taS3PvIe+1dTo/JTFUphXpneYbYxlYqbAAAtzG08Cx0I8zKeBUSch35lArgWcX5fzjHMpwzzI218fFckyYuLfRoLIhTmm01dmvkXAHbsAJYvzx4LAUxNFWG/2cx6NjabDPPDZNWqVXjhhRf6ctx2WP4gqqG0gNICqYqgpIBIG0AKE+YVRCqgJKBlUZkvwny5Ug9UK/NRiz7z7nb7vAgRtJ2abi7N7P3nBYK8rdALJU1feMAfLTmL7fbcG846c1iUh3WyX0fd6wLuQkRERERE3etbmLcD2NVV0u16d6C7ycnJUqU+tH9dpZ9oLqQC0hRQOwGdRkhSW5mP0GxqU6mPoKSGaEZQs8Jk4Agi1UjtwPhaQGggNeWQSGkIbx55+1hoAaEFIlVfV3a32+ftMhZjNrHN2uc4vZv7PJ01dq+EeSgICAgoCBO33Vdzg7vfKBSojt3sh/oE+Rh5lUDPcE9ERERE1Jm+hfl2fdxtn3q7H5D1r3/44Yfx3HPPVfrNt+uDTzQXaQroFJBKQCuBVAkkEoikgJICSmooGWWzxEmFJM2a2WuloZsCqVeZ35k2oLWAkHEHlfn69lPudhuoZ1OBJLXxea6xtxqdbWgvwruGQGoeZ7FboOjaIKDzoB7n66oTL4UuNyhkYV4ia16fImtObzXBpvNERERERJ3o20hxa9aswV577YWHHnoI09PTpW2zs7N44IEHsNdee5XC/GGHHQYAuPvuuyvHu/POO0v7EPWEks5c6/40bU4nJ9P8XCmNVGokaTYCfjN1prdz1tklbar6RbZYlEIKb0l1dV3XC7peZIulm+M0vYVVeCIiIiKiuetbZV4IgZNPPhmXXnopLr30UlxwwQX5tssuuwzbtm3D2Wefnc8xDwAnnngirrzySnzlK1/BW97ylrwJ/s9//nPcdNNN2HvvvXHEEUf065SJqux060pAygiJ1EjTrKKfzkalyrxWGrO2Mo8or3TbgduKJuvZ+ggtKvPOdvu8cQg08+f0on7dWWVeVCrztmIPRPkAeJ1X5rPB8LIKvT+0k9vsnmGfiOan298ivZhn3l/ndzwS3jbt7Rc6l5oB8IDi4vMce14REdFw6zrM33DDDXjwwQcBAE888US+zs4Rf+yxx+LYY48FAKxbtw4/+tGPcMUVV2DTpk145Stficcffxx33HEHDjjgAKxbt6507H333RfnnHMOLrroIpxwwgl4+9vfjunpadxyyy1I0xSf/OQn0WhwzD5aWNlAeFmgT9IYs02B2UQgndWmf70J89BQZloimc8bbCcBBiInPJfnIg6+qrPd/TJoQ3UvG6P7Q9Jp2F7t7cN8atbJ0sUKe7atXi1E1qwnoqVLzPPSXe9+G/Y6zHOaXCIi6q+uk/GDDz6I73znO6V1Dz30EB566CEAwOrVq/MwPzExgWuuuQaXXHIJfvCDH2Djxo3YY489cPrpp+Occ87BxMRE5fhnnXUWVq9ejauvvhrXXXcdxsbG8NrXvhbnnXceDjrooLm8R6J5szPglZZUm2nwtPn6lpVIdN96fff6uP7QdP6S9Y7XgXmOhXkcmVu3H31xy9o6EREREVG/CK3nOmH1YOrHHH80YHo4z/yv/3cb5LRC88kd0GmKnc0YSQpEMoXcqZEmGrNpjNlZIJ1NsWOHLirzO1VWmc+b0msADWhEUPkEwK0q863m0na3h8Z778U/W7d5Z6gyD5THnS/OobPKfPdhvlVlnvPMjwbOM0/d6nye+l7PM99AdZ55d10DRc3EXhR1L44uRzG3fMM5BpANL2of71J5TYXI/K0R0HHxNBUBaQyoKHsvdpxVO5GJjkXNPPPLOc889cWozzO/YoXO55BvNICxMWDFCmCPPYCJCWByEvjt3wZ23RXYc8/s8cqV2S3nmR8enGeeaBBpBehsijmhFIRKIZRwltREeImiCbyEQIS4NKO6P0nbXMO8rZi76+Yj1FvdhnkVWF+wX55l/sUzVJkvP6MTDOdERERERJ1hmCcK0YBQEkJpCAVzqyCkhpACQkYQumkCq4SAAJCaBvcR0JcwHwXW9ZIb2kNN8ImIiIiIaFAwzBN1KJsf3lTqtR0IDsgagAsAKu8931mYbxXI68Z17+dY7+3OiYiIiIiIBgXDPNE8sW6d0d4tZ0oiIiIiIuofhnmiDmRV+XBlXiyZyjwREREREQ0LhnmivhnGMO8flxcNiIiIiIgGEcM8UYc6qcyDlXkiIiIi6pKdbdmddZnmblSm9mOYJ+qGVoCdqg6pCfPFaPYZO5q9naN9WEazJyIiIiKiYcEwT9RTrMwTERER0dywMt97S7lKzzBP1HMa4fnZu5m73d3uP89dR0REREREo4hhnqjvbJXeBnDb/N7ehqTwm9THiCAHrpl9dh5iYM6HiIiIaDixz3zvLeWqPMAwT7RA3DCv0L6pfbWZvXDuD0qYZ4gnIiIimjulqoPfMczPzVIP7iEM80QLordhniGaiIiIaGlKktEMpvPlfmb2fhyXl6WGYZ6IiIiIiGgRuJX5JCkW6t74eHHfBvfx8WJhmCciIiIiIqKuaZ2Fd7ukaRHeZ2ayQL8UA2c/+J/TqH5uDPNERERERESLxK/OU3uhMO82rbeW+vgDDPNERERERESLRKkixI9qhblb7cK82+R+KWOYJyIiIiIi6iGtw4vbzN5tah9F2e309GKf+WCIou62xzGwfHkR6t37SznYM8wTEREREREtEluZj6L2IXZUdBvm7WN35Prly/tzboOEYZ6IiIiIiKjHpqcFGg2UFluhn5jIlmYzW2/DKMN8xn4Ou++ua7e7n5W932hkQd6OQbDUMcwTDTzt3GpvHRER0eCK9Ah8m+6SEuwUPSrqmtg3m0Uf+fHxcjBlmM/Yz6Guuh5F5ebz9mKJUv0/t0HCME9ERERERNQnfqBvNrP1aVrswxBfZj8PIcLbGg1gl12yW6AI9uPj2bokye4v9Qo9wzwREREREVGf+QPgNZsc8K5Oq8p8o1GEdxvmlSpaOETR0g/xFsM8ERER0VJiemJFtrmpqWwpoaGRACKGdpt628dmnTBN47WI8/uoaS4v7HNCTcdFHF7fLyLuaRN2zebwNA+hJvZAFjCjKKs4CzEagXMu7OcTutgxPl6Ed3s7ik3sAYb5gdLuHzP/sRvSu28fm75H9nOSiVnMPlICUhULERFRf3lpGsLbpr39ULOfe99ri+sPp6K9be5RNbJUAVm8gpaAlsGRWLTdDkA7YZ59vom6F5qaTgjzT5IqbJi3YwtYbvXdfo7AaAZ5gGF+4LQK7AzzRl2YtyHeueVnRkRES1oXYb7YngX6bF0W5kVgd2G3o6jW5+u9+4FurS3Xd4MVchpmfnXer8xTmP18du7MHruj1dsqPMM8w/xA84Mog6nRZZh3K/NERERLihPghTaL3Wa+3GqzQjjJWwsb3bNm926T+Dw6ixixnAEAyKgYNtqtzNv7wWr9XJu9e8/pOMw7r9eLCwDKvGf3vRN1y29mL0QWTFmRb82G+dnZ7LEN8+6ggbZq3xjhRDvCb33xueGyFDwD20OPR1abZvZERETDQXm3lnDWp/BFiABEEOY2D+0QgACUVy7XbvVPm8e2H70GJGbyQF8+jeJxVNPMvlWYV9F4x33m3ecHWwh0wH2e/xxW96nfbDh3Q7pblbfSlN/pQ/xWCjbM+1P2xXE2cOBMdp0Rk5MLd46DiGF+gDDMd6hNZd7dxs+MiIhGhkYW7P22736yFeV1AoAWEhCyul9+bGebN3heZZ37nC6q6vndUGW+1XHsIHzOKXdyQYABn/rBbe5tm9T7TcDZvL5KOC2I3CAf+uz8CySjjGGeiIiIqGt+Nd0+dgeos/eFuS+cdSmyq9CRs69bkbeP3cq8+/wqoQViGSH2omzepT5yDmsr85GAirxqvVvRzy8IFM3f3CDifgGvnE+oMl8TzEXoAgGcIB+q/Puh3z2et2/oe3/bPBUYL6C0mRcDqEMMnnPjhnateREkhGF+wElZNCNhldnotJm9LEa0hx3ZPkX1+xcREVEw7rVa7/4Bipx9Q/dDYT5CEealsx+Q9Vp3Q7+1zKyPAQhEGEf2Va4owUdoETAVKn8DlW2qb85YC0CJqDgdL+CXTtNZrwJfstM4qa4XgN8yAACacbHdnzZPRuOA32/dnfbOuRV2v5qLCAzg1G9+cFequo6htMp+Jv7ggHbUfwpjmB8gSVJtZi9lMbgDw7zRRZivNL0nIiJacP6Q8/762mHna/a3bentFWr7dW5+X+sE7PR15VcEUHuJwK4PhXkRBdabIK/99bG73fnjHUmoOMmvbdgwrqLxojLv3NpB6yqh3QZ5v+rfQmQHwIuX5+tU4PkdDfLHiwgjzQ/zrNRX+S1+/DDvDhzoDyo4yhjmh4g/z+LI6jbMSwBpVpW3lXmZcq55IiLqldBAdqE/Mm6CTVFU3VNve11lPjXr3Sp/5OzbADDW4jwj+M8Rpccif/VuhcKJkAIK4bYN1TCfrdCRty1CqZGDimzT95lKFd4N56F+98KrzFcq+97+RN1iSJ8fVuC7xzA/gIJTqznrRz7UdxrmlbOY70ylMJ/yih4RES0UW013+9anzn1X6qyb9da7+/th3u137/L3L4jKfv4+oT76bveB0HGyfcbR8I7n7KXL+6o09JU0e54SyK8wqEhkjyNARrPZfTuCvwBUXsH3DiVEXpm3U82paDxb5zbhdy4MqPyp1dH77T7uulYV+jlN0UdE1AbDPBEREY2Ahbh663dK94OwX3KuC/N16/w++v6t/xr+seoHzyu214X50AWBVq8bAZUwby82uC0PgCzZBzrS2yPrKH/rQmdF/HyIQBPghTmKvUhQnZoueGiivmO1vjuhqf2oHsP8gHKr8n5l3p/CbuTUVeb9qXgDlXn7WJpFBwYDIiIi6o9Q/3cgPMBLaF1diO80zLfTqzDvD/Tnh3l3cEAg+zrqjuAf4A8hEBhWIO/zj3DTfiKipYZhfkjYUe3tgHh+8/B2j5cUv0uifdxFmLf3U7M+VRG0ipCqCEprQAsoLaD4bYCIiDrm/yGqF0FBdbG/fVb51l8PdDDhWpvj+2F+3NkGVMN5oAl9Kcw3UB/mhbO/Xd/mq6nN/K3GCESgMt/6qEREQ4lhfggpVYT1drdLUg/DvEpgwryAVia8hwYWJiKigST63Lxq7n8OWgf1CPDCfKfV83Z63Z489Pn26lyJiGg+GOaHjJRZUE/N3/+ehXm1AO32e/Ua7nGUzB+LNKnuZ5c0ybabx/a+2qkgFLL29lpBaEBoDaGVWbRZp5xFZOugTC1BQZQGNarv90dERDR/rf7IL0SYbzdSv3D28/d1/0YW+0XBGQEy2uxBRERlDPNDLE3nH+btfmKhxgXq9XGc7wmiTWVeOJV5kWbvuZlkt1JFEG7Teue+yu87CwCF4paIiJamuVf+Wz8va2Re/OHSHYXVun26bWbfTTD23wdDNRHRoGCYH0K2mb3f3N6Ge/d+iHAq20WYD1fNhZL5Ml/tjuFvr92/J5X57I2rmRRCK6jpnRCyCZFGEFJDyBSYTRE1FSIVoZGmkDJBpDQiZWflTc1XGncEPtsHUKBo12+32caaHHWPiIiIiIjmh2F+iNhR7N0g7za3T5IixIeq9pZbhW9XmReqWOar3TH87bX7K2+fbirzpj+8PbZOBYTO5rcVUgNSQEmNSGoILSsVeXamJyKiweP+wex3M/u6C9Lza2Zf7MeWAEREnWKYH0ZK5n/3VAqoVEIpQCbmsQJSZ8T7xCtYR2lSCfq2Ch6qjkdpgsipendcQfe0rcxr2fJxzl9vHlf217JYlERkvx9oIDJvXM42s3XTKSKZfY5aaQilEDUV0hRIFaCaGmkqoJXOutfDNq9nuCciIiIiooXHMD9EbOU9TYv7iRfg0xTYuTNb7BR2O36ThVylgZkmIGQCbedhtVO4mNCbB2JzG6kEkUoQy5n8PDoO3Z52+3Ue5r2r9vkgdf7xUIxMr3SxXWtEedP8rCogdsQQSmQtHrSAUApxM4Kwr5UoINVQswpZ/Jdm4Dvt9Ke08d5WHfxKg9/MvlVz+1CVgtUJIiIiIiLKMMwPAymzbtl5/pNeHvQflxelJJTOKsxpExBSQussLOehXsk80ANFkBYqyRbpVOZrKuPttA/zynvcWdXbBvn6MK+zQe+c+WiFzoKxSM3KZgNCKehSmNfFOTUVdAoAChrazA9cHgCPUZuIiIiIiBYKw/yQygals/3ZZalve76kMt9uZl7LLgrIBNCAkhLahPRWYT5SCbTcWby2F5qjDkN3u90q2zttwR4I8oAb3oUJ87ajfFGlF8r015MRhPmMsjAPKBkVx5ARtIoQQZhiv4BkM3siIiIiIlokDPNDTql8ivTKKPdpIqFSiaQpIc066TSz12mSh/msw30R7oWytwqRBCK3qO7lV63LVW9XKWS3y72VMN/ZqHtCKejAvtp/bXcf/7WmUwiVdYbXWgBKQadpfgEg0omZQigxDeuz/2WVelW8RN6uf77N7ImIiIiIiOoxzI+ArOKOvIJdPC4q8dASWhfVeWEGiAuOZh8I7JUwn9+2CNCV81Te/h0GXaUqTfTtedW9dqWSb1orQBfN7COV5v3hI6QQSBEhBSAgoKDN1HPKHDzrQy/yR63DPBERERER0dwxzA+zvK98uM+8SJOsib1MivVOM3vIBKpZVOa1kkDahJhGnj2FNM9xpn2rTCHnVr2l2dE8Ft2E8zmGeaHDYb587NaPhbNBQJgqfOpcm7A95CVsUC/W9XoaICIiIqrlDnALlP+m1xUOdNZBTsMZw0dnHebcsX/s00vra8b88SfYa/VtwB03qJNvDVrEHexFRKOOYX6J8JvYZ6OyF4vWxXrI7LE289YDZp2Z3k7sBNQMAA3EEmg0gUZa//cxqvy/vdV5nRrmcZ1iKDk3lLcL87Z5e1Elr+e/dvsLBdK9goEmsisa9gNrNQq9Rj65ff448faxt62OQ0RENOjs36vQPPP276j77cCONxOhGmv9oWQjALGZOca2e4sAHSGyhxZAFAGqTbLWDZimhCmUebKKZqovmz8/hjKButmYLN6tG7LNPnadahHAVTReu610nuYY2u7vHdN/De28/ry0OMZ8LixEWiLqcKDknrwPohHDMD9q8rnXzX3TNx4qgVAqq7rbZvU2k3aUK20YzyZuE6VQ6+4Tfl64D3ka2N9/rr1tFebnMkidPaZ7Ln6Y978x2Pfs943X3rHaX7AoX9Rwm/Ez5BMR0WJodyHaD/N2vxTVtBw5C5B9HY0C67Mwn92z68bzfWywh3SfUyNx2+CZd2JXudcV8lsJJbK/+ePx8/lzlfM2lXlpJYolF3kh3A3zfgB37tv9VLy8si1/7KzT3uOKDvdt9U3Jvi22FiAaPAzzI0j7lXqgmMZOZk3rpUTezL6z1u62Fm+uKJsr73Hpz0OoYZkILK3295/rH2O+7Jt1Q3noNdzXchvlcXR7IiJaTJ38Harbx/ata7Wvu09dgHZTcihoh8K8u959/pi5b0N9E0X49y8C1J2DfVxuP1jMWNPmU/O/brjrI0CIYiletvw5CpG1AlAim2SndBz31KMscEdemLdBWthA7j+u4QZwIeLaQC4CFf9iY/Y8f59Wr1WsdMZnco5HRL3BME894lfWe1GZ76yZffuR4bupZocGrAOq4Z6IiGgUuS3X5hPm3f2kt78fxO3rAuW/x7LFa/jHCDVzL54TKgfYyBlrkb+0+03A/eahYSrzoVNHEeCVe2u3OfuqyFRV4qR8YuY2jcZLYb5tM/uayrwf1v2A7W5P4+VtWwAoEQe/JfnN7NmUnqi3GOaplmibX21Yl6g2J7dNwpvO/n6oDgX5fjSzn0vT9FYXHlodk6PWExFR9zrpRrU4l5T9v8V+M3h/m8t+kfCr/d2E+cR7jq3Iu6P1uOdU1w9/3LmfVfRFpWpf11y/7qJFXN7m97SDu0mY1aKy2f3vKgFgDFAx8pYASggo8zJRlADCuQAgwv3oc254dyvzgcp7SWh7m7EBiu4LDOxEC4VhnnqgGFZW5LftKu3udolqmPf7rIcsdJiv6/fuYwWfiIh6r1fjpnT3V2o+r6nQOvD7wdvuH+rMXncBwa5rF+bdc2kEntNNmLePYxRfpef+lbrS4l5lTfbz5vj+W3Iq+9l/S+lvzrGfO9HSxjBPPeI2q3dHzvMDvD84XF2YtwPOtXtNe5t6j0P7daOuMj/XY4bfCwe0IyKi0WP/9tWNdRNa785DF6r011XP/QBf7F+8Sqdh3r+wUBfmi4H7ildwxwVo/c61GbfIhnkhBBA76d3rty8qTfqL7xz5hRtTXdfROCvnREsIwzzNg0YEicgJ4gIpRCmc+83s24V5+weoLsyHAnU/wnxvMbQTEdGg6O5vUlJ6pFuOGt9mRPmO95nLgLbtwrw/Wn6o2t5A+KtxuzBfNP0vLgz4gbkBIEZUG/6zVgiRfa4qf6uJzANlGitoBaS24YLf1MLtj6/TbNA9e8qtpoljyCcaOgzzNIBaDWhXF+Zb9WdnkCYiIiIioqWFYZ4GRLvB8Nz9/Pt1Yb6Yn52IiIiIiGgpYZgnIiIioo60ukDeu+Ff59LMfr46af5PRDRY+JuLiIiIiIiIaMgMbJh/5JFH8Kd/+qc47LDDcPDBB+Okk07CzTffvNinRURERERERLToBrKZ/X333YcPf/jDGBsbw3HHHYcVK1bgtttuw8c+9jFs3boVZ5555mKfIhEREREREdGiGbgwn6YpLrzwQggh8M1vfhMHHnggAODss8/G+973Pqxfvx7veMc7sGbNmsU9USIiIiIiIqJFMnDN7O+99148+eSTOP744/MgDwCTk5P4yEc+gjRNsWHDhkU8QyIiIiIiIqLFNXBhfuPGjQCAo48+urLtqKOOKu1DRERERERENIoGLsxv3rwZALDPPvtUtq1cuRKrVq3Cli1bFvisiIiIiIiIiAbHwPWZn5qaAgCsWLEiuH1ychL/+7//W/v8VatW9eW8FsJv/dZinwERERERUS8tX+wTIOq7xcqgA1eZJyIiIiIiIqLWBi7MT05OAgC2b98e3D41NVVbtSciIiIiIiIaBQMX5u2Uc6F+8du2bcMLL7wQ7E9PRERERERENCoGLswfdthhAIC77rqrsu3uu+8GALz+9a9f0HMiIiIiIiIiGiQDF+bf8IY34OUvfzm++93vYtOmTfn6qakpfPnLX0aj0cB73vOeRTxDIiIiIiIiosUltNZ6sU/Cd++992LdunUYGxvD8ccfj8nJSdx22214+umn8dGPfhRnnXXWYp8iERERERER0aIZyDAPAI888gguvvhi/PSnP0Wz2cR+++2H0047DSeccMJinxpRTzzyyCNYv3595Wf8D/7gDzp6/gMPPIDbb78dGzduxNatWzE9PY3Vq1fjLW95C8444wy89KUv7fM7IGpvvj/nvmaziZNOOgmPP/449t13X3z/+9/v8RkTda9XP+dTU1O48sorcdttt+Gpp57C2NgYXv7yl+Mtb3kLzjnnnD6dPVFnevFz/pvf/AZf//rXcfvtt+Ppp5/G+Pg4fud3fgfvec97cPLJJ2PZsmV9fAdErd1000148MEH8eijj+KJJ55As9nEZz/7WZx44oldHUcphWuvvRbf+ta3sGXLFkxMTODwww/H+eefn48P1ysDG+aJlrL77rsPH/7whzE2NobjjjsOK1asyFufnH/++TjzzDPbHuOoo47CCy+8gNe97nU44IADIITAxo0b8Z//+Z/Ye++9cf3112P33XdfgHdDFNaLn3Pfl770JVx11VWYnp5mmKeB0Kuf81/96lc47bTT8NRTT+HII4/EAQccgCRJ8OSTT+JXv/oVbr755j6/E6J6vfg5/81vfoMTTzwRTz31FF73utfhNa95DZIkwR133IEnn3wSRxxxBL7+9a8jigauFzCNiDe/+c3YunUrVq1ahYmJCWzdunVOYf5v//Zv8S//8i/Yb7/9cMwxx+DXv/41vve972HZsmW4/vrrsd9++/XupDURLahms6mPPfZY/apXvUo/9thj+frt27fr4447Th944IH6l7/8ZdvjXHbZZfqZZ54prVNK6b/7u7/Ta9eu1X//93/f61Mn6livfs5djz76qD7wwAP1P//zP+u1a9fqt7/97T0+a6Lu9OrnPE1T/d73vlcfdNBB+p577gm+DtFi6dXP+eWXX67Xrl2rP/OZz5TWz87O6ve+97167dq1euPGjb0+faKO3X333frpp5/WWmffs9euXau//e1vd3WMe+65R69du1b/0R/9kZ6dnc3X/+QnP9H777+//sAHPtDTc+alL6IFdu+99+LJJ5/E8ccfjwMPPDBfPzk5iY985CNI0xQbNmxoe5w/+7M/w1577VVaJ4TARz7yEQDA/fff39sTJ+pCr37OrSRJ8Jd/+Zd4zWtegw9+8IP9OGWirvXq5/wHP/gB/uM//gMf+tCHcMQRR1S2NxqNnp43UTd69XP+1FNPAQCOOeaY0vrx8XEcddRRAIBf//rXPTxzou4ceeSRWL169byOccMNNwAAPvrRj2J8fDxf/4Y3vAFHH3007r//fvzyl7+c12u4GOaJFtjGjRsBAEcffXRlm/1jZveZC/ulL47jOR+DaL56/XN+ySWXYMuWLfj0pz8NIURvTpJonnr1c/69730PAPCOd7wD//M//4PrrrsOl19+OW699Vbs2LGjh2dM1L1e/Zy/4hWvAADceeedpfXNZhM/+clPsMsuu+C1r33tfE+XaFHdd999mJiYwCGHHFLZZv8N9bLgxku9RAts8+bNAIB99tmnsm3lypVYtWoVtmzZMufjf/vb3wZQ/IElWgy9/Dl/5JFHcMUVV+D888/Hvvvu28vTJJqXXv2cP/roowCABx98EJ/97GeRJEm+bbfddsNFF12Eww8/vDcnTdSlXv2cn3zyybjppptw5ZVX4tFHH8WrXvUqNJtN3Hnnndi2bRs+//nP47d+67d6ffpEC2Z6ehrPPfcc1q5dGyyq2cHv7L+pXmBlnmiBTU1NAQBWrFgR3D45OYnt27fP6dibNm3CpZdeit133x3r1q2b8zkSzVevfs6TJMFf/dVf4YADDsCHPvShnp4j0Xz16ufcNi3+1Kc+hdNOOw0//vGPcc899+DCCy/E9u3bcfbZZ+PZZ5/t3YkTdaFXP+e77LILrrnmGpxwwgnYuHEjrrzySlxzzTV5E/5QJZNomNh/B5OTk8Htdr39N9ULDPNES8RTTz2FM844A1JKfOELX8Buu+222KdENG8XXXQRtmzZgs985jPsOkJLljYTC/3e7/0ePvaxj+G3f/u3sdtuu+HUU0/F6aefju3bt+PGG29c5LMkmp/nn38ef/Inf4J///d/x+WXX44HHngAd999Nz7+8Y9jw4YNOOWUU7Bt27bFPk2iocIwT7TA7FW5uqvYU1NTtVe/62zduhWnnXYann/+eVx88cXBAZSIFlIvfs4fe+wxXHXVVTjzzDOx//779/wciearV7/P7XHe/OY3V7a96U1vAlA0xSdaaL36Of/c5z6Hhx9+GBdffDGOOeYYrFixAnvssQdOOeUUXHDBBXjqqadw9dVX9/TciRaS/XdQV3m36+sq93PBME+0wGx/mVD/sm3btuGFF14I9kur8/TTT+PUU0/Fs88+i4suuij/4ke0mHrxc/6zn/0MUkqsX78e+++/f2kBgF/+8pfYf//9ceihh/b8/Ik60avf53YsiJe+9KWVbXbd7OzsPM6UaO569XP+4x//GLvuuit+93d/t7LNFiEee+yx+Z0s0SKamJjAnnvuiaeffhpSysp221fe/pvqBYZ5ogV22GGHAQDuuuuuyra7774bAPD617++o2M9/fTT+OM//mM8++yz+OIXv4hjjz22dydKNA+9+Dlfs2YNTjrppOACZFfATzrpJLz73e/u7ckTdahXv89tkPnFL35R2WbXzXe6JKK56tXPeZIkmJqaKg3waD3//PMAUJrKi2gYvf71r8f09DQeeuihyjb7b8j+m+oFhnmiBfaGN7wBL3/5y/Hd734XmzZtytdPTU3hy1/+MhqNBt7znvfk659//nn813/9V/6HzrJB/plnnsEXvvAFvPWtb12w90DUTi9+zg855BB8+tOfDi4AsMcee+DTn/40LrzwwoV7Y0SOXv0+P/HEEzE+Po5vfOMbeOaZZ0rHueyyywAAv//7v9/nd0MU1quf80MOOQRpmuLLX/5yaX2SJPk6ztpAw6Lu5/yUU04BkI354164uueee3DXXXfhsMMO6+nMPELbUVeIaMHce++9WLduHcbGxnD88cdjcnISt912G55++ml89KMfxVlnnZXvu379elxyySU455xzcO655+br3/zmN2Pr1q04+OCDg3O/AijtT7TQevFzXmf//ffHvvvui+9///v9fAtEbfXq5/yaa67Bpz71Key6665461vfivHxcfzbv/0btm7dij/8wz/EJz7xiYV+a0S5Xvycb9q0CR/4wAewY8cOHHTQQTjkkEMwOzuLu+66C0899RRe+cpX4rrrrsOyZcsW4y0S4YYbbsCDDz4IAHjiiSfw2GOP4ZBDDsm7kRx77LF5K9hWv88vvPBC3HDDDdhvv/1wzDHH4Ne//jW+973vYdmyZbj++uux33779eycOc880SI44ogjcO211+Liiy/Grbfeimazif322w9//ud/jhNOOKGjY2zduhUA8NOf/hQ//elPg/swzNNi6sXPOdGg69XP+amnnorVq1fja1/7Gm655RZIKbHffvvhzDPPzCs9RIulFz/nBxxwADZs2IDLLrsM9957L775zW8ijmPsvffeOPfcc/HhD3+YQZ4W1YMPPojvfOc7pXUPPfRQ3mR+9erVHXVp/cQnPoH9998f3/rWt3DNNddgYmICb3rTm3D++ef3tCoPsDJPRERERERENHTYZ56IiIiIiIhoyDDMExEREREREQ0ZhnkiIiIiIiKiIcMwT0RERERERDRkGOaJiIiIiIiIhgzDPBEREREREdGQYZgnIiIiIiIiGjIM80RERERERERDhmGeiIiIiIiIaMgwzBMRERERERENGYZ5IiIiIiIioiHDME9EREREREQ0ZP4/jkYhqQqfDYQAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5597,7 +5596,7 @@
     }
    ],
    "source": [
-    "lalonde = pd.read_csv(\"../../../causalpy/data/lalonde.csv\")\n",
+    "lalonde = df = cp.load_data(\"lalonde\")\n",
     "lalonde[[\"hispan\", \"white\"]] = pd.get_dummies(lalonde[\"race\"], drop_first=True)\n",
     "lalonde.dropna(inplace=True)\n",
     "lalonde.head()"
@@ -5656,7 +5655,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "df930b6a83494b249eeac8cdb143fe40",
+       "model_id": "f4ec690ccd9c4d53af396b885d75d64c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5691,7 +5690,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 10 seconds.\n",
+      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 9 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -5703,7 +5702,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0ccb3a62b629496e9344427ff1e756b4",
+       "model_id": "f3135d4e211c4d218812d76d51dca9be",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5738,7 +5737,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b1850e7a68404fec97e7f60cd92a2c3e",
+       "model_id": "860c9c2cc7b4475e919c9187852aa6e6",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5749,6 +5748,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -5818,7 +5825,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5877,187 +5884,187 @@
        "    <tr>\n",
        "      <th rowspan=\"12\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.332</td>\n",
-       "      <td>0.136</td>\n",
-       "      <td>-1.573</td>\n",
-       "      <td>-1.064</td>\n",
+       "      <td>-1.333</td>\n",
+       "      <td>0.137</td>\n",
+       "      <td>-1.578</td>\n",
+       "      <td>-1.072</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>919.034</td>\n",
-       "      <td>683.829</td>\n",
-       "      <td>-359.422</td>\n",
-       "      <td>2180.636</td>\n",
+       "      <td>926.915</td>\n",
+       "      <td>692.921</td>\n",
+       "      <td>-345.103</td>\n",
+       "      <td>2259.967</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>29.887</td>\n",
-       "      <td>25.736</td>\n",
-       "      <td>-18.925</td>\n",
-       "      <td>78.386</td>\n",
+       "      <td>30.099</td>\n",
+       "      <td>25.814</td>\n",
+       "      <td>-18.420</td>\n",
+       "      <td>77.649</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>290.353</td>\n",
-       "      <td>72.801</td>\n",
-       "      <td>152.563</td>\n",
-       "      <td>423.974</td>\n",
+       "      <td>290.983</td>\n",
+       "      <td>71.761</td>\n",
+       "      <td>157.873</td>\n",
+       "      <td>421.534</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>1616.502</td>\n",
-       "      <td>870.575</td>\n",
-       "      <td>43.175</td>\n",
-       "      <td>3330.614</td>\n",
+       "      <td>1650.245</td>\n",
+       "      <td>895.241</td>\n",
+       "      <td>-9.516</td>\n",
+       "      <td>3311.423</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1238.210</td>\n",
-       "      <td>690.108</td>\n",
-       "      <td>-82.182</td>\n",
-       "      <td>2538.451</td>\n",
+       "      <td>1256.242</td>\n",
+       "      <td>683.217</td>\n",
+       "      <td>-58.962</td>\n",
+       "      <td>2497.228</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2101.081</td>\n",
-       "      <td>599.596</td>\n",
-       "      <td>1011.341</td>\n",
-       "      <td>3213.124</td>\n",
+       "      <td>2065.057</td>\n",
+       "      <td>587.627</td>\n",
+       "      <td>974.308</td>\n",
+       "      <td>3175.766</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-1103.582</td>\n",
-       "      <td>514.240</td>\n",
-       "      <td>-2044.657</td>\n",
-       "      <td>-104.829</td>\n",
+       "      <td>-1103.199</td>\n",
+       "      <td>516.867</td>\n",
+       "      <td>-2098.378</td>\n",
+       "      <td>-136.237</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>0.011</td>\n",
-       "      <td>1.003</td>\n",
-       "      <td>-1.831</td>\n",
-       "      <td>1.955</td>\n",
+       "      <td>-0.000</td>\n",
+       "      <td>1.002</td>\n",
+       "      <td>-1.877</td>\n",
+       "      <td>1.882</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.002</td>\n",
-       "      <td>0.994</td>\n",
-       "      <td>-1.900</td>\n",
-       "      <td>1.873</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>1.050</td>\n",
+       "      <td>-1.964</td>\n",
+       "      <td>1.974</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1796.961</td>\n",
-       "      <td>486.173</td>\n",
-       "      <td>867.891</td>\n",
-       "      <td>2710.354</td>\n",
+       "      <td>1786.561</td>\n",
+       "      <td>491.016</td>\n",
+       "      <td>847.880</td>\n",
+       "      <td>2652.520</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6438.209</td>\n",
-       "      <td>148.026</td>\n",
-       "      <td>6170.267</td>\n",
-       "      <td>6716.444</td>\n",
+       "      <td>6439.256</td>\n",
+       "      <td>146.914</td>\n",
+       "      <td>6176.871</td>\n",
+       "      <td>6721.663</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"11\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>928.477</td>\n",
-       "      <td>703.045</td>\n",
-       "      <td>-368.249</td>\n",
-       "      <td>2279.219</td>\n",
+       "      <td>948.588</td>\n",
+       "      <td>691.081</td>\n",
+       "      <td>-239.413</td>\n",
+       "      <td>2351.645</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>29.718</td>\n",
-       "      <td>25.629</td>\n",
-       "      <td>-20.551</td>\n",
-       "      <td>77.289</td>\n",
+       "      <td>30.326</td>\n",
+       "      <td>25.333</td>\n",
+       "      <td>-18.342</td>\n",
+       "      <td>78.132</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>291.937</td>\n",
-       "      <td>73.358</td>\n",
-       "      <td>149.830</td>\n",
-       "      <td>424.374</td>\n",
+       "      <td>287.274</td>\n",
+       "      <td>71.154</td>\n",
+       "      <td>156.950</td>\n",
+       "      <td>425.099</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>1648.816</td>\n",
-       "      <td>879.268</td>\n",
-       "      <td>-3.116</td>\n",
-       "      <td>3283.668</td>\n",
+       "      <td>1635.510</td>\n",
+       "      <td>875.386</td>\n",
+       "      <td>5.781</td>\n",
+       "      <td>3317.593</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1242.800</td>\n",
-       "      <td>688.158</td>\n",
-       "      <td>-49.723</td>\n",
-       "      <td>2512.753</td>\n",
+       "      <td>1255.931</td>\n",
+       "      <td>680.717</td>\n",
+       "      <td>28.430</td>\n",
+       "      <td>2576.112</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2079.289</td>\n",
-       "      <td>603.283</td>\n",
-       "      <td>917.589</td>\n",
-       "      <td>3168.699</td>\n",
+       "      <td>2080.664</td>\n",
+       "      <td>595.085</td>\n",
+       "      <td>983.510</td>\n",
+       "      <td>3221.950</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-1092.513</td>\n",
-       "      <td>514.911</td>\n",
-       "      <td>-2062.723</td>\n",
-       "      <td>-122.975</td>\n",
+       "      <td>-1095.913</td>\n",
+       "      <td>517.034</td>\n",
+       "      <td>-2101.728</td>\n",
+       "      <td>-159.452</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>0.007</td>\n",
-       "      <td>0.994</td>\n",
-       "      <td>-1.872</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.993</td>\n",
+       "      <td>-1.895</td>\n",
        "      <td>1.824</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.011</td>\n",
-       "      <td>0.984</td>\n",
-       "      <td>-1.856</td>\n",
-       "      <td>1.808</td>\n",
+       "      <td>-0.009</td>\n",
+       "      <td>1.020</td>\n",
+       "      <td>-1.946</td>\n",
+       "      <td>1.890</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1785.633</td>\n",
-       "      <td>483.960</td>\n",
-       "      <td>875.011</td>\n",
-       "      <td>2680.343</td>\n",
+       "      <td>1805.474</td>\n",
+       "      <td>480.786</td>\n",
+       "      <td>920.168</td>\n",
+       "      <td>2719.070</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6436.338</td>\n",
-       "      <td>148.810</td>\n",
-       "      <td>6157.605</td>\n",
-       "      <td>6721.365</td>\n",
+       "      <td>6436.702</td>\n",
+       "      <td>146.785</td>\n",
+       "      <td>6161.338</td>\n",
+       "      <td>6715.592</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6066,29 +6073,29 @@
       ],
       "text/plain": [
        "                                   mean       sd    hdi_3%   hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt          -1.332    0.136    -1.573    -1.064    1.0\n",
-       "              beta_[treat]      919.034  683.829  -359.422  2180.636    1.0\n",
-       "              beta_[age]         29.887   25.736   -18.925    78.386    1.0\n",
-       "              beta_[educ]       290.353   72.801   152.563   423.974    1.0\n",
-       "              beta_[hispan]    1616.502  870.575    43.175  3330.614    1.0\n",
-       "              beta_[white]     1238.210  690.108   -82.182  2538.451    1.0\n",
-       "              beta_[married]   2101.081  599.596  1011.341  3213.124    1.0\n",
-       "              beta_[nodegree] -1103.582  514.240 -2044.657  -104.829    1.0\n",
-       "              beta_ps[0]          0.011    1.003    -1.831     1.955    1.0\n",
-       "              beta_ps[1]         -0.002    0.994    -1.900     1.873    1.0\n",
-       "              alpha_outcome    1796.961  486.173   867.891  2710.354    1.0\n",
-       "              sigma            6438.209  148.026  6170.267  6716.444    1.0\n",
-       "2-stage-model beta_[treat]      928.477  703.045  -368.249  2279.219    1.0\n",
-       "              beta_[age]         29.718   25.629   -20.551    77.289    1.0\n",
-       "              beta_[educ]       291.937   73.358   149.830   424.374    1.0\n",
-       "              beta_[hispan]    1648.816  879.268    -3.116  3283.668    1.0\n",
-       "              beta_[white]     1242.800  688.158   -49.723  2512.753    1.0\n",
-       "              beta_[married]   2079.289  603.283   917.589  3168.699    1.0\n",
-       "              beta_[nodegree] -1092.513  514.911 -2062.723  -122.975    1.0\n",
-       "              beta_ps[0]          0.007    0.994    -1.872     1.824    1.0\n",
-       "              beta_ps[1]         -0.011    0.984    -1.856     1.808    1.0\n",
-       "              alpha_outcome    1785.633  483.960   875.011  2680.343    1.0\n",
-       "              sigma            6436.338  148.810  6157.605  6721.365    1.0"
+       "1-stage-model alpha_trt          -1.333    0.137    -1.578    -1.072    1.0\n",
+       "              beta_[treat]      926.915  692.921  -345.103  2259.967    1.0\n",
+       "              beta_[age]         30.099   25.814   -18.420    77.649    1.0\n",
+       "              beta_[educ]       290.983   71.761   157.873   421.534    1.0\n",
+       "              beta_[hispan]    1650.245  895.241    -9.516  3311.423    1.0\n",
+       "              beta_[white]     1256.242  683.217   -58.962  2497.228    1.0\n",
+       "              beta_[married]   2065.057  587.627   974.308  3175.766    1.0\n",
+       "              beta_[nodegree] -1103.199  516.867 -2098.378  -136.237    1.0\n",
+       "              beta_ps[0]         -0.000    1.002    -1.877     1.882    1.0\n",
+       "              beta_ps[1]          0.002    1.050    -1.964     1.974    1.0\n",
+       "              alpha_outcome    1786.561  491.016   847.880  2652.520    1.0\n",
+       "              sigma            6439.256  146.914  6176.871  6721.663    1.0\n",
+       "2-stage-model beta_[treat]      948.588  691.081  -239.413  2351.645    1.0\n",
+       "              beta_[age]         30.326   25.333   -18.342    78.132    1.0\n",
+       "              beta_[educ]       287.274   71.154   156.950   425.099    1.0\n",
+       "              beta_[hispan]    1635.510  875.386     5.781  3317.593    1.0\n",
+       "              beta_[white]     1255.931  680.717    28.430  2576.112    1.0\n",
+       "              beta_[married]   2080.664  595.085   983.510  3221.950    1.0\n",
+       "              beta_[nodegree] -1095.913  517.034 -2101.728  -159.452    1.0\n",
+       "              beta_ps[0]          0.001    0.993    -1.895     1.824    1.0\n",
+       "              beta_ps[1]         -0.009    1.020    -1.946     1.890    1.0\n",
+       "              alpha_outcome    1805.474  480.786   920.168  2719.070    1.0\n",
+       "              sigma            6436.702  146.785  6161.338  6715.592    1.0"
       ]
      },
      "execution_count": 27,
@@ -6126,7 +6133,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6281,7 +6288,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ef0ae845cdb24d0093c55a627f325e68",
+       "model_id": "edad27834c194bdc8d27910c74f00869",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6306,7 +6313,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 48 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 47 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -6318,7 +6325,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "53e7290bb8b44db3b3b853272a99e4fe",
+       "model_id": "e59215224eb6419caee33e9e7578ea86",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6353,7 +6360,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0caeb786ec9045d5908beff65c11d4de",
+       "model_id": "59df72f639184d448ad0ff7ece36b74a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6368,6 +6375,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
@@ -6440,6 +6449,7 @@
     "    ]\n",
     "]\n",
     "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
+    "# Note the significantly reduced outcome model specification.\n",
     "X_outcome = df[[\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"]]\n",
     "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
     "T_data = df[\"trt\"].values\n",
@@ -6476,7 +6486,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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lziXQtm1bxMfHIz4+XmlcuvxiAlDw93HOnDniEJQaNWqgVq1aePz4MbZv347jx49j+/btaNSokcr2+Pzzz3HmzBnUr18fTZo0QU5OzhtaUH1atGgBQ0NDPHr0SGx7ucLzLXzyySe4du0a9PT00KBBA5iZmeHp06cICQlBcHAwPvroIybz6iIQkc5bvHixIJVKhWnTppVp/4CAAEEqlQrNmzcXDh48KC5PS0sTPv/8c0EqlQq9evUSsrKyFPbr1auXIJVKBScnJ2HTpk1Cfn6+IAiC8PLlS2HEiBGCVCoVJk+eLDg7OwuHDh0S94uLixP69OkjSKVSYceOHQplBgYGirG0bdtWuHz5srguNjZWGDx4sCCVSoXp06crHceBAweEJ0+eKCzLzc0V/vrrL6F58+ZCnz59xBjlVq9eLUilUsHR0VH48MMPhfj4eHHdq1evBEEQhOjoaPEcvE4qlQpSqVRwdnYW9u3bp3DuPv74Y0EqlQr//e9/FfbJz88X3n//fUEqlQqTJk0SUlJSxHXHjx8XWrRoITg5OQlSqVSIjo5WqrMoc+fOFaRSqTB37lyF5QkJCULbtm0FqVQqLF26VMjOzhbj+N///ie24e3bt1Wem9WrVyss37dvn7iPu7u78ODBA3FdWFiYWNfZs2cV9pO37ZgxY0p8TIXFxMQIR48eFdLT0xWWP336VJg+fboglUqFNWvWKO1X+H26bt06IS8vTxAEQcjJyRFmz54tSKVS4YMPPlDaT/7e9/DwEOLi4sTlly5dEtq0aSO2UWBgYJmO53VbtmwRpFKp0L59eyE3N7fE+61YsUKQSqWCg4ODsHDhQiE8PFw8xjd50/tarqznfPLkyYJUKhWGDh2q8Jm6cuWK4OLiUuS527VrlyCVSoXevXsrrMvLyxN+++03QSqVCt27dxc/myUhb//Cn8/Cx9GiRQtBKpUKJ06cEATh3/Pi6OgotG7dWjh58qS4vfw78NatW0Lz5s0FqVQqbNiwQfxeyc7OFry9vQWpVCq0a9dOSExMVKhvzJgx4vfbzJkzhYyMDEEQBEEmkwnbtm0T173+WTx79qzg4OAguLq6inHKyb/f2rRpo1RfWb6flixZIn6PvN7u9+7dE/7880+FZW/6XMvrL8pHH30kSKVSwd/fX2ldTk6O0KFDB0EqlQqRkZFFllHYxYsXxTo//vhj4cyZM0JmZmaJ9p02bZoglUoFNzc34dq1awrrHj16JGzYsEFh2bJlywSpVCp07dpVuHHjhsK2AwYMEKRSqfDFF18o7FOS91ZCQoLQoUMHwcHBQVi7dq34fS0IghAaGip069ZNkEqlQkBAQImOSxD+/S4v6rt36tSpglQqFaZMmSIIgiCkpqYK+/fvF5KTkxW2e/nypfj++Prrr5XKkb+/HR0dhQULFiice/nxqeN7XF2/NzIyMgQ3NzdBKpUK3377rZCWliaui4qKEgYOHChIpVLhjz/+UHk+X//bWNjPP/8sSKVSYciQIcKtW7cUzoP8O2Lo0KEK+8g/S46OjkKnTp2Eq1eviutK+p0nb4M3xSYn/83w+nej/G/8678l5I4fPy5IpVJh8ODBCt/vgiAISUlJwpYtW0r8uaPicVAs0TsgMTERAMrcHVt+R37UqFEYPHiwuNzc3Bw//fQTrK2tERsbCz8/P5X7d+/eHZ988ol4J9vCwkLsln3mzBl88MEHCo+9qV27NiZNmgSgoDutKnl5eZg+fTo6duwoLqtTpw5++OEHAIC/v7/YpVJuyJAh4iytcgYGBvjggw/g7u6O6OhoXLt2TWV9+vr6WLVqFWrVqiUuK83d0eHDhytMrmVubg4vLy+Vx3jx4kVERkbCysoKK1asgKWlpbiuf//+mDx5MnJzc0tcd3F27tyJ9PR0ODo6Yt68eeIdMD09PUydOhU9evRAbm6uwp30ksjLy8OyZcsU7iy0bt0aH3zwAQDg3LlzajsGoOBO2Xvvvac0SZmtrS1+/PFHGBoa4vDhw0Xu37VrV0yePFm8w2doaIhvvvkGRkZGCA8Px8uXL8VtHz9+jJMnTwIAfvjhB4W7L506dcKMGTPU2kZPnz7Fb7/9BgD4+OOPYWBQ8o51n376KZycnCAIAv7880988MEHaNeuHUaOHImff/4Z169fL3NcZTnnDx48wJkzZ2BoaIhffvlF4TPl4uICLy8vlecuJycHvr6+0NfXx5o1axR6Sujr6+Ozzz5D//79kZCQID6xozySkpLw1VdfIScnB5aWlujcubPC+vz8fMyYMQN9+vQRl8nvFm7cuBF5eXno06cPJk2aJH73GRkZYeHChbC3t0daWhp27dqlsm5LS0v4+PiIdywlEgnGjh2Lfv36IS8vD5s3b1bY/pdffoEgCPjuu++U7r5/8MEHGDduHDIyMrBnzx6V9ZXm+0k+3GD8+PFK7d6kSRN8+OGHKusoi2HDhgGAQldeuTNnziAlJQUtWrQo8aMDO3fuLMZ3+fJlTJ48GS4uLhg8eDAWLlyI06dPIz8/X2m/iIgInDx5EkZGRtiwYQOcnZ0V1jdo0ED8mwUA6enpYtsuWrQITk5OCtvK/04dP35c4Y673JveW5s3b0ZKSgo+/vhjTJkyRaHHQtu2bbF48WIABT01yksQBGzZskXsvv3ee+8BAKpWrQoPDw+lYUEWFhZYsGABateujWPHjiEvL09lufb29vD29lYYZiA/vvJ+j6vz98a+ffvw5MkT9O3bF/Pnz1eYJLRp06b4+eefIZFIlD6PxXnx4gW2bNkCc3Nz/O9//1MYAmViYoIFCxagZcuWuHHjBkJCQpT2z8/Ph7e3N9q0aSMuK83vEaBgCICDg4PSf+p4aod8OMawYcMUvt8BwMbGBh9//LHSEBMqO3azJ3oHZGRkAECZvjwzMjLEBHfs2LFK601NTTFixAhx/OTw4cOVtlG1rPAfL1Xr5eM05eN9X2doaKhyv2bNmqFdu3YIDQ3FhQsXMHLkSIX19+/fx5EjRxAZGYmXL1+KPzbi4+MBFHS/VNVFt3PnzuV69JyqWB0cHGBsbIy0tDSFCc0uXboEAOjXr5/SI2EAYOjQoUrPBC6PixcvAkCRXbDHjRuHs2fPituVlKOjo8qhF/JlRbVtechkMgQEBODixYuIjo5GZmam2EVUIpHg0aNHyMrKUvlZkF9kKEz+7OmHDx8iOjpavLBy4cIFCIKA9u3bq0wkhg8fjp9//lktCX1OTg7++9//IiUlBY6Ojvj0009Ltb+5uTl27dqFnTt3Ys+ePbh//z6ysrJw9epVXL16FRs2bECfPn2wbNkyWFhYlDq+0p5z+fu7Q4cOShfXAGDgwIFYvHgxXr16pbD82rVrePbsGVq2bFnkPBO9e/fGiRMncOXKFQwZMqRUx7Fu3Tox2ZU/mk7eFfvbb79VOdv/f/7zH5VlyT8rqr4z5Yn5woULcfHiRXzxxRdK2wwfPlzlj/NRo0bB398fFy5cEJfFxsbi5s2bqFatmkLyV1jv3r2xadMmXLlyReX60nw/yS9cnThxAg4ODhX6qLL33nsP3333Hc6dO4cXL14ojMOWJ/ilfYzlkiVL0LVrV2zfvh2hoaHIy8vD3bt3cffuXezevRv29vZYvny5wtjnU6dOAQD69u2r0FW6KKGhocjKykKdOnVUtkmrVq3Qpk0bhIWF4eLFiyrneSjqveXv7w9A9fcVAHTr1g2GhoYICwtDXl5eqS783bp1S/ybmZeXhydPniAlJQVAwYXk1581f/nyZZw+fRqPHj1CRkYGZDIZgILPT1ZWFh4/fqxybojiJtktz/e4On9vFHeumzVrBjs7O0RHRyMhIUEpcS3K2bNnkZOTg969e6vcR09PDz179sT169cRHBysNI9R1apVi/ysl1RRj6Yr6bC2N5Ef09mzZ/HBBx8wca9gTOaJ3gHyK9xZWVml3vfJkyeQyWQwMjJS+cMbKLhCDfx7x+Z1qn6oFP5Rpmq9/Iej/ELE62rVqlXko7SaNGmC0NBQpXjWrVuHX375RfzBoUrhu6+FNW7cuMh9SqKoSblsbGwQHx+PzMxM8ZjlcRf1aEA7OzuYm5sjPT29XDHJyeuTt+Pr5Mnq8+fPkZ6eXuJHmBX1fpG3fVFtW1apqamYPHkywsLCit1O1Y+LotqoWrVqePjwITIzM8Vl8nNW1PvC3NwcNWvWLPcFC0EQ4OXlhdDQUNja2sLX11fl2OHiGBsb45NPPsEnn3yCxMREREREICQkRBzjfOrUKXh6eopj0UuqLOe8uPe3sbExGjRooDDZFwBERkYCKEheX79IJ5eWlgbg395IpfHo0SMxNkNDQ9ja2sLFxQUTJkxQOXmgtbW1ykm+UlNT8eLFCwBQmcgAxX9nFvW+ki8v/FmUn5fs7Owiz4t8voWizktpvp9Gjx6Nv//+G7/99hsOHjyIrl27wsXFBa6uruW64KmKmZkZBgwYgP3798PPz098GsOLFy9w7tw5GBoalml29X79+qFfv35IT09HREQErl27htOnTyMiIgJRUVH45JNP4OfnJ7bvgwcPAEDpjnxRHj58CKCgvYq62NG0aVOEhYWpfA8U9d7KyMgQJx8ralJAuezsbKSkpBQ5bl2V9PR0cU4APT09WFhYoEOHDhgyZAiGDh0qHktOTg5mzpwp9k4qivxCwOuK+lwAFfM9XtbfG/LP1qpVq7B27VqVcSQnJwMo+GyVNJmXlxseHl7kZzYpKUks93UNGjQo0RwRb1KSR9OVlZubG+zs7HDhwgV069YN3bp1g4uLCzp06FDiXjRUckzmid4B8h9YZUks5H/cbGxsivxRIv+xUFRypmqimsJlqfqDXNzdntcnt1O1rnA8V65cwYoVK6Cvr4/Zs2ejd+/eqFOnDkxNTSGRSLBy5UqsXbu2yG6BRc3IXVJF7S+/OyEUmmBIftHlTc+0NjMzU1syL09SizqnhZdnZGSUOJkv7pjVzcfHB2FhYWjUqBFmzZoFZ2dnWFtbi8lv9+7dkZiYWOTd8qLuHqhqI/k5U/WDW6569erlTua//fZb+Pn5wcrKCps2bVLLkwtq1qyJvn37om/fvvjyyy+xfPlybNq0CUFBQQgNDUW7du1KXFZZznlJ39+vkyfqL168EJPlohSeLLA0x1Kau7xFvb8LX/Qp6jNV3HdmaT6L8vNSOBErSlHnpTTfT46Ojvjjjz+wZs0aBAYGYvfu3di9ezckEgm6dOmCb7755o3JWmkNGzYM+/fvx99//y0m835+fsjNzUX//v3f+ASI4pibm6Nz587o3Lkzpk2bhuPHj2PmzJlISkrC7t278dlnnwGA+F1b0p4rJfl+UPV3Sq6o9ij8nV9cWwNQ6t1SnMKzkb/J+vXrcfLkSdja2mLOnDlo3749bG1txc/9yJEjcfXq1SL/nr7pTm15v8fV+XtDfr5v3rxZZLxypTnX8s+sfKK8N1H1mS3v75GKVqVKFezcuROrVq3CiRMncPToURw9ehRAwUWsOXPmoFevXhqOUncwmSd6B7Rp0wY7duwoU7c7+Y/qFy9eQBAElX/0nj9/rrBtZXjTj3n5usLxyMfYTZw4UeVjwxISEtQcYdnJf2wUTgpep8672lWqVEFaWhqSkpJU3rWQ3yEAKreNSyMvL0+cFfi3335TurOZl5cnvk/VQf5j6k3vw8LnrSxWrlyJHTt2oEqVKtiwYYPCDP/qYmBggC+//BKHDx/Gs2fPcP369RIn82U95/L395vew29KcAYNGoSff/65RDFqQuEf2klJSahRo4bSNsV9Zxb1viq8XL6vvL62bdsWOQZf3Vq3bo2NGzciIyMDV69eRVBQEPz8/HDhwgXxrnZZhmyo4uLigoYNG+LmzZuIjIyEVCoVZ7EvbRf74gwYMADHjh3D8ePHERERIS6Xn+vU1NQSlVOa74fSfKe+Puu7pmYDl/899fHxQbdu3ZTWl/XvaWV/jxenSpUqSE1Nhb+/v8Ks7eooFwCmTp2KmTNnqq3ct0mtWrXg4+ODb7/9Fjdv3kRQUBBOnDiBGzdu4PPPP8euXbtK3NOF3owT4BG9A3r06IEqVaogKSkJJ06cKNW+9evXh56eHnJycpQmlJO7d+8eAJRoLKG6xMfHF5kMyB/dVjgeedfEwhPGFHbnzh31BlgO8rhf72YsFxcXp7a78oXrk7fj66KiogAU3E0s6V35sijP2NsXL14gMzMTVlZWKrsoR0VFqZzYqqzk50zenfZ1GRkZ5bpA9Pvvv2Pt2rUwNjbG2rVr0apVqzKXVRw9PT3UqVMHABQeb1Rce5T1nMsnRJR3NX1dTk6OOIFSYfKu6fL349vKwsJCvCNb1GMki/vOlHfrfp28vMKfRfl5kT/HvDKZmZmhW7dumDNnDo4dO4b69esjMTFR7ZNbFp4ILzIyEjdv3oStra3KRLK85MODCt/5lZ/j4h6bKCd/j9+/f7/IRxuW5e9m1apVxYtDRX1fV4Y3/T1NTk4u0zAXoPK/x4sj72FS2u+c4r47teW7rCil+VttYGAAZ2dnTJ48Gfv27cPAgQORn5+Pffv2VWCE7xYm80TvAAsLC3Eipu+//77Yrr+hoaFiFz4zMzPxD7aq7nevXr0SJ43q2rWrOsN+o9zcXOzdu1dpeWRkJEJCQsQun3LyyaRU3S29cOHCW5XMy+P29/dXmbTv379frfXJ223Hjh0q18vbvaLbV949srRdQwvvm56ernL/33//vXzBvUZ+Lq5cuaLyR/WePXvKPPnd7t278dNPP8HQ0BCrVq1Ser59aRXXQyA1NVVlYlFce5T1nMtnhQ8KChKTgsKOHj2qsjwXFxdYW1vjzp07CAoKesMRaZ78/aHqO1MQBPzxxx8K271u7969Kp8bLb/zXvi7rWHDhpBKpUhJSRHvWGuCqamp2Hvk6dOnJdqnpJ/5IUOGQF9fH4cPHxb/3pT02fKFlaS3jHysduHPgvz58SdPnlQ5+/zr2rVrB1NTU8THx4uT5xV2/fp1hIWFKf2dKgn50wq2bt1aqv3USd5uqs7n5s2by5xwV/b3eHHk53rbtm1FXpRRRf57o6j3dY8ePWBoaIhz584VOW/G26y443sT+d34kn5HUPGYzBO9Izw9PdGmTRs8f/4cH330Ef7++2+lsVgPHz7E4sWLMW7cOIXugfLZs3ft2qXwSJj09HR89dVXePHiBezs7Mo0EVFZGRgYYM2aNQgODhaXJSQkYO7cuQAK/ggX7jIu7zq8fv16hR4GERER+Oabb0r9WJeK1LlzZzg4OCA5ORlz5sxR6Np58uRJrF+/Xq3dK0eOHAlzc3Pcvn0b33//vZhEyGQybNiwQXyM2CeffKK2OlWRjwe/d+9esWOiX2dhYQF7e3vk5eUpHEN+fj7Wr1+Po0ePqvWcNWjQAH369IEgCJg7d67CXfigoCD4+vqWqb5jx47B29sbenp6+OGHH9QyrvDTTz/F7NmzcfnyZaULDLdv38a0adOQkZEBW1tbheTSxsYGZmZmSEpKUnmHuaznvFGjRujZsydyc3Px3//+V+EuXmhoKHx8fFTuZ2xsjBkzZgAAvvjiC/zzzz9KP7AjIyPx008/ITQ0tBRnSP0mTJgAAwMDnDp1Cps2bRLvmOfk5OC7775DZGQkqlatWuTkVykpKfjmm2/EoTaCIGDHjh3w9/eHvr6+0mdxzpw5kEgkWLJkCfbs2aM0Vjk6Ohr/+9//xNm5y2PRokU4evSo0oSqV65cweXLlwGgyKcNvE5+F7zw97gqNWrUQLdu3fDs2TPs3LkTQNm62K9duxajRo2Cn5+f0oXSp0+fYuHCheLF4MJPQ2jRogX69u2L7OxsfPrppwpd8IGCR3Ft3LhRfG1ubi627ZIlS3Dr1i1x3ZMnT/D1118DKJitv6jJB4vy6aefwsrKCgcOHICPj49S1/+UlBTs3btXfJRlRZD/PV22bJnYQ04QBPz999/YtGlTmf+eVvb3eHE+/PBD1KtXD0FBQZgzZ45SApqRkYGjR4/Cx8dHYbn8fS0f2vi6mjVr4uOPP0Zubi4mTpyodHFSEARERERg0aJFRfaI1CT58V2/fl3lxMpbtmzBli1blIZExMXFiTdhSvodQcXjmHmid4SRkRE2btwILy8vnDhxAnPnzsWiRYtQv359GBsb4+nTp+KP6lq1ain8wOjVqxcmT56M9evXY86cOVi+fDmqVauGBw8eIDMzE5aWlvjll19UTjxTUdq0aQMzMzOMHTsWDRs2RJUqVRAZGYm8vDzUq1dPaabfDz/8ELt27cKTJ0/w3nvvoVGjRsjNzcXDhw/RtGlTuLu7l/pZsRVFT08PP/74I8aOHYvTp0+je/fuaNKkCZKTkxEbG4uxY8ciICAAsbGx5Z7RFij4YfHjjz/iiy++wNatW/H333+jfv36iIuLQ1JSEvT09LBgwQI0a9ZMDUdXNBsbG3Ts2BGBgYFwc3ND06ZNYWxsjOrVq2PlypXF7j9r1ixMmzYNu3fvxokTJ1C3bl3ExsYiOTkZ06ZNw8GDB1XeCS6rRYsW4c6dO7hx4wbc3Nxgb2+PzMxMPHr0CD179kRGRkaRjwIrypdffgmZTAZzc3P88ccf4h3c1y1YsKDEP4ZkMhn8/Pzg5+cnzhRvZGSEp0+fij9OLSws8MsvvyiMyZVIJBgwYAD27dsHDw8P2Nvbi+vld5zLes4XL16MkSNHIiIiAn369IFUKkVmZiYePnyI3r17Iy0tDVeuXFF6f48aNQrx8fFYv349PD09YWVlhXr16kEmkyE2NlacPbu8vRnKy9HREfPmzcOSJUvwww8/YOPGjahduzYeP36M1NRUGBkZ4eeffy7yMVDTpk3D//73PwQEBKBRo0YKbTVr1iyl2fV79OiBBQsW4LvvvsP8+fPh4+ODhg0bQiKRICEhQfxR7e3tXe5ju3btGv78808YGBigQYMG4gUfeTsPHjwYHTt2LFFZ7733HqKiojB16lQ4ODiIQwdWrFihdG6GDRuGM2fOIC8vr1TPli9MIpEgNDQUoaGh0NPTQ/369WFhYYEXL14gISEBeXl50NfXx9dff40WLVoo7Pvdd9/h+fPnCAsLwwcffAA7OztYW1uL59fOzg4TJ04Ut//iiy/EscIeHh5o2rQpDAwMxK7izZo1w8KFC0t9DLVq1cJvv/2Gzz//HFu2bMGOHTvQqFEjmJqa4sWLF4iJiYEgCHB3dy912SU1ffp0XLp0CQEBAejevTsaNGiAZ8+e4enTp/jPf/6D+Pj4Yi/QFKWyv8ffxMzMDOvWrcPkyZPh5+eHo0ePolGjRjA3N8fLly8RHR2N/Px8pbHfXbt2haWlJUJDQ9GzZ0/Uq1cPBgYG6Natmzhnz8yZM/H06VMcOnQI48aNg62tLWrXri0OaZRfJJFP+vg2cXJyQsOGDcW/dY0aNYKhoSGaNWuGefPmITY2Ftu2bYOPjw/s7OxQrVo1pKen4/Hjx8jPz4dUKq3wmwPvEibzRO8QMzMzrF69GiEhIThw4ABCQkIQExOD3NxcWFtbo2fPnujbty/ef/99pcR89uzZaNu2LbZv344bN27g+fPnqFGjBgYPHoypU6eqfF5pRZJIJPD19cW6detw6NAh3Lt3D9bW1nBzc8OMGTOUZhE2NzfHzp07sXz5cpw9exYPHz5EzZo18cknn8DT0/OtSeTlmjVrhn379uGXX37BxYsXERUVhQYNGmDhwoUYPXo0/Pz8AJRu8iR510dVdzb69OmD/fv3Y/369QgMDMSdO3dQtWpV9O3bFxMnTixyrgF1W758OZYvX46LFy/i5s2byMvLg52dXYn27d27NzZs2IBff/0Vt2/fxsOHD2Fvb49vvvkGgwcPxsGDB9Uaa82aNbF3716sWrUKp06dwr1791CnTh3MmDEDkydPxoQJE0pdpvzOeXEzk8tnQy6JTZs24fz58zh37hyioqLw9OlTpKWloUqVKnB2dkbXrl0xevRolTOoz5s3D2ZmZjh16hTu3r2rdGe/rOe8Vq1a2LNnD1avXo2AgABERUUpnLuPPvoIgOr39+zZs9GrVy/s2LEDoaGhuHPnDszMzFCzZk306dMH/fv3R6dOnUp8firKqFGj4ODggE2bNuHq1au4c+eO+D07ZcqUIh8FCRQMKdi5cyfWrFmDa9euIScnB61bt8akSZPQt29flfuMHj0a7du3x7Zt2xAYGIh79+7ByMgItWrVQseOHdG3b1/06NGj3Mfl5eWFU6dOITQ0FPHx8Xjy5Alq1Kghvo9K05tk8uTJkMlkOHLkCO7duyfeiVU1g3evXr1gbW2N5OTkMk98N2vWLHTp0gXnzp1DeHg4EhMTERsbC0NDQzRs2BAuLi4YOXKkyguXlpaW2L59O/766y/4+fkhKioKz58/h62tLfr37w8PDw+F7U1MTLBx40bs2rULBw8eFOc0aNKkCdzd3TF+/PgyP3+7Xbt2OHr0KLZu3YozZ86Ij5CtWbMmunXrhl69eoldxCtCixYtsGPHDvzyyy8ICwvDw4cP0aBBA0yePBljxowpVwJa2d/jxWnSpAkOHjyInTt34uTJk7h//z6io6Nha2uL9u3bo0ePHkrn2tzcHBs3bsTq1avFRx/KZDKFv2UGBgb46aef8P777+Ovv/5CeHg4bt++DQsLCzRs2BBt2rRB//79xfkX3iZ6enpYt24dVqxYgZCQEERERCgMrfjoo49gaWmJwMBAPHnyBLdv34alpSVatmyJQYMGYfjw4ZV680fXSYTSDAIhItKwoKAgjBs3rsSP0NFFycnJ6NixIywsLEp153fq1Kk4ffo0Jk6ciK+++qoCIyQqO5lMhg4dOiAtLQ3BwcGwtLTUdEiVZuzYsQgODsa2bds03rvgbZOamoouXbpAEARcuHChXI+kIyLSFRwzT0SkZeQT4JX2brl89nB1PgOaSN38/f2RlpaGpk2bvlOJPL3Z4cOHkZOTgz59+jCRJyL6f0zmiYjeQnfv3sXu3bsVHr8nCAIOHjyIVatWAYDYFbkktmzZgtjYWHHcHpEmPX/+HBs2bEBycrLC8nPnzmHRokUASvf+Jt2WkpIizmQ+atQoDUdDRPT24Jh5IqK3UEpKChYuXIjFixejTp06sLKyQnR0tDjB14cffojevXsXW87EiRNx9+5dPHv2DAAwadIk8TnFRJry6tUr/Pzzz1i+fDlq1aqF6tWrIyEhQXyf9uzZk0kbYf369Thz5gyioqKQmpqKrl27cvgBEVEhTOaJiN5CTZs2xaRJk3Dx4kXEx8cjPj4e5ubm6NSpE0aMGFHimYojIiKQm5sLJycnfPjhh/jwww8rOHKi4lWrVg2enp44f/48YmJicOfOHZiYmKBt27b4z3/+g+HDh6vlSQ2k3R48eIDQ0FBYWVnhP//5D7y8vDQdEhHRW4UT4BERERERERFpGY6ZJyIiIiIiItIyTOaJiIiIiIiItAzHzJNOeH1G5IpkaWmJly9fVlp9VHHYlrqDbak72Ja6g22pG9iOukPb2jIjIwP16tUDAERHR8PMzEzDEVUua2vrYrfhnXmiUtLT48dGV7AtdQfbUnewLXUH21I3sB11B9tS97BFiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0jIGmAyCiynPs2DGEh4fjzp07uH//PnJzczF//ny8//77pS4rPDwcu3fvxvXr15GcnAxTU1PY2NjAwcEBrq6uGDhwoLitn58fli5dWua6iIiIiIhIEZN5onfIunXrkJCQACsrK1SrVg0JCQllKsfPzw/fffcd9PX10blzZ9SrVw/Z2dmIjY3FpUuXEBYWppDMExERERGRejGZJ3qHfPPNN6hXrx5q166Nbdu24bfffit1Ga9evcKKFStQpUoVrF+/Hk2aNFFYn5eXh9DQUHWFTEREREREKjCZJ3qHdOjQodxl3L9/H5mZmejevbtSIg8ABgYGcHV1FV8vWbIER48eBQAsXboUS5cuFdcFBgYCAO7cuQM/Pz9cvXoViYmJyMvLQ926ddG/f3+MGjUKBgbKX1VXr17F+vXrcefOHRgZGaF9+/aYMWMGvL29ERYWJpYtJwgC/Pz8cOjQIdy/fx/5+flo2rQphgwZgkGDBpX7vBARERERVSYm80QAIAhAXlbJNs0xAnIzKzig1xiYAhJJ5dZZBAsLCwBAXFwcZDIZ9PTePI9mjx49kJ6ejnPnzqF79+6wt7dX2ubgwYO4cOECWrdujU6dOiE7OxtXr17Fb7/9hlu3bmHZsmUK2wcFBWHWrFkwMDBAnz59UL16dVy9ehVTpkxB1apVlcoXBAGLFi2Cv78/6tevj/79+8PAwAChoaH47rvv8PDhQ8yYMaMcZ4WIiIiIqHIxmScSBJjuHg39uLASbZ4HwLxiI1KSX6ctsj78461I6OvWrQsHBwfcvXsXn3/+OQYOHAgnJyfUr18f+vr6Stv36NEDaWlpYjKvagK8cePGYc6cOQr7C4KA77//HocPH0Z4eDicnZ0BAPn5+fDx8YEgCPj111/RokULcZ9vv/0WR44cUSr/4MGD8Pf3x6BBgzB37lzxTr+ZmRk+++wz7Ny5E/369UOzZs3KfX6IiIiIiCoDH01HBADQfJKsLSQSCb7//nu0bNkSYWFhWLp0KUaOHIk+ffrA09MTfn5+yM/PL1WZtWvXVroQIJFIMGzYMADAlStXxOXh4eFISEhAt27dFBJ5AJgyZYrKCwp79+6Fqakp5syZo9Bl38jICFOnTgUA+Pv7lypmIiIiIiJN4p15Iomk4K53CbvZW1lZISUlpWJjet1b1M0eAOzs7LBhwwZERkbiypUruHXrFq5fv46QkBCEhITg2LFjWLlyJYyMjEpUXm5uLvbs2YOTJ0/i0aNHyMrKgiAI4vrnz5+L/46KigIAtGrVSqmcGjVqoGbNmoiLixOXvXr1Cvfv30f16tWxbds2he1NTU2RlpYGAHj8+HHJTwARERERkYYxmScCChJlwyol29TIDDDMqeCAtINUKoVUKhVfh4aGwtvbG6Ghodi3bx9GjhxZonK8vLxw4cIF1K9fH25ubrC2toaBgQHS09Oxe/du5OT8e74zMjIAFFxUUcXGxkYhmU9NTYUgCHj27Bk2btxYZAxZWSW7mENERERE9DZgMk9EatOuXTtMmTIFS5cuRUhISImS+Vu3buHChQvo2LEjli9frtBN/saNG9i9e7fC9mZmZgBQZO+IFy9eqNy+WbNm2LJli8I6a2trJCcnFxsjEREREdHbhmPmiUitTExMlJbJE3SZTKa0LjY2FgDQuXNnpfHu165dU9pePht+RESE0rqnT58iMTFRYZmZmRkaNmyIR48eiV3qiYiIiIi0HZN5IiqVuLg47NmzR+zuXlhWVpZ4J10++zzw7+Psnj59qrRPrVq1ABRMbFfYgwcPlMa4y8utVasWzp8/j5s3byqsW7duncrJ90aMGIFXr17Bx8dHZXf6uLg4ha75RERERERvO3azJ3qHHDx4UEya79+/DwA4dOgQrl69CqDgMXI9evR4Yxnp6elYvnw5fH194ezsjMaNG8PY2BjPnj3DhQsXkJqaimbNmmHEiBHiPi1atICxsTF2796NjIwMWFtbAyh4JF3z5s3RvHlznDp1CklJSXByckJiYiLOnz+PLl26ICAgQKF+fX19fPXVV/jyyy8xbdo0uLm5oVq1aggLC8OzZ89gb2+Pe/fuKezj4eGBGzdu4OjRo4iIiED79u1RvXp1ZGRkIDIyEjdv3sSSJUtQp06d8p1gIiIiIqJKIhEKTxlNpKUqc9yzNo+zXrJkCY4ePVrk+okTJ+LTTz99Yxk5OTm4ePEigoKCcPPmTTx79gxpaWkwMzNDo0aN0LNnTwwdOhTGxsYK+126dAm///477t+/j+zsbABAYGAggIL2++233xAYGIjU1FTUrVsXHh4e6Ny5M4YOHQp3d3csXLhQobzQ0FCsX78ed+7cgbGxMdq3b48ZM2Zg1qxZSExMxMmTJ5ViP3nyJA4ePIi7d+8iMzMT1apVg52dHbp27Qp3d/ciJ9Wjt582fy5JEdtSd7AtdQPbUXdoW1tmZGSgXr16AIDo6GhxHqR3hfzm15swmSedwGSegIIvfXd3dzRp0gSbNm0qdnu2pe5gW+oOtqXuYFvqBraj7tC2tmQyX3wyzzHzRKR1srKylMbs5+fnw9fXF9nZ2cUOFSAiIiIi0nYcM09EWic6OhpTpkyBq6sr7OzskJmZiWvXruHhw4do3Lixwnh9IiIiIiJdxGSeiLSOra0tevfujbCwMAQGBiI/Px81a9bE6NGjMX78eJiammo6RCIiIiKiCsVknoi0jrW1NRYsWKDpMIiIiIiINIZj5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAxnsyciIiIiIqoADx8JiI0F7OyARg0lmg6HdAyTeSIiIiIi0inJKYJG63+ZKuDn5cC18H+XtXYWMGc2YGmhmaReEGRIeVlwXqyteGFBFzCZJyIiIiLSEVlZ6k1ijY0FtZdZGQYN0WzMenqAmRmwxFsC55ZA+HXgp+UCxo0HZDJNxZYs/uufYxoKoRRevRIU/q2np/7zZmqq3Rc1mMwTEREREemIvu+pO+F5oeby3g0yGfDlbAl69yxIFnv3BAQBWLT47bgwov73ifoVvugxyKNikvkLZ7Q7mecEeERERERERGrm3FLxdetWmomDdBfvzBO9I54+fYqAgABcunQJjx8/RlJSEiwsLNCqVSuMGTMGLVq0KFV54eHh2L17N65fv47k5GSYmprCxsYGDg4OcHV1xcCBA8Vt/fz8sHTpUsyfPx/vv/++ug+NiIiI/t8/x9R7p9HKyhopKcnFb/iWeRvuPIdfL7gjL3ctQmOhKFH3+6QiZGZKYG9f8O/DBySoUuXtj7myMZknekfs2bMH27dvR926ddGhQwdYW1sjOjoa586dw7lz57BkyRK4ubmVqCw/Pz9899130NfXR+fOnVGvXj1kZ2cjNjYWly5dQlhYmEIyT0RERJVD3WOAq1SRIDtb+5Kow39rtv4FiwSs+EWAIBTckb8WAaxcJaC1M/DtYs2cTytLK6S8TAGgHWPFZbJ/YzQxkWhFzJWNybyaBAUFYdy4cfD09MT06dM1HY5afP311zhw4ID42tvbGyNHjqyUuleuXIm1a9eKr3XpvGpK8+bNsXbtWrRu3Vph+bVr1+Dp6Ykff/wR3bt3h5GR0RvLefXqFVasWIEqVapg/fr1aNKkicL6vLw8hIaGqjt8IiIiohLT9GztSxcDi5cKCmPk27sAi+ZLYKWh2Kyt9SCRMCHWJUzmtUTv3r0BAAEBAZVe97hx42BhYaHUDdvBwQEdOnTA9u3bS11mcRc/OnbsCAMDA8TGxipcUKCy69Wrl8rlrVu3Rrt27RAUFIT79+/D0dHxjeXcv38fmZmZ6N69u1IiDwAGBgZwdXUVXy9ZsgRHjx4FACxduhRLly4V1wUGBgIA7ty5Az8/P1y9ehWJiYnIy8tD3bp10b9/f4waNQoGBspfVVevXsX69etx584dGBkZoX379pgxYwa8vb0RFhYmli0nCAL8/Pxw6NAh3L9/H/n5+WjatCmGDBmCQYMGvfGYiYiIiErDykqClT9L+Jx5qlBM5qlYH3/8MerWrVupdXbq1AmdOnVCUFBQpSTzgiDg1auSbauJR7SYmKBCr6TKk2V9ff1it7WwsAAAxMXFQSaTQU/vzfNo9ujRA+np6Th37hy6d+8Oe/ngp0IOHjyICxcuoHXr1ujUqROys7Nx9epV/Pbbb7h16xaWLVumsH1QUBBmzZoFAwMD9OnTB9WrV8fVq1cxZcoUVK1aVal8QRCwaNEi+Pv7o379+ujfvz8MDAwQGhqK7777Dg8fPsSMGTOKPXYiIiKi0mjUUIJGDTUdBekqJvP0zhMEAdOmC7h+o6R7VP4jWlq2AH5bUzEJfUJCAq5cuYJq1aqpvNP+urp168LBwQF3797F559/joEDB8LJyQn169dXeTGgR48eSEtLE5N5VRPgjRs3DnPmzFHYXxAEfP/99zh8+DDCw8Ph7OwMAMjPz4ePjw8EQcCvv/6q0GPk22+/xZEjR5TKP3jwIPz9/TFo0CDMnTtXvHhhZmaGzz77DDt37kS/fv3QrFmz4k8YEREREdFbgI+mqwBXrlzBmDFj0KZNG3To0AGzZ89GQkKC0nZJSUn4/vvv0bdvX7Ro0QKurq6YPn06IiMjxW1iYmLg4OCA2NhYxMbGwsHBQfxvzZo1AICcnBxs374dEydORI8ePdCiRQt06tQJnp6euHXrltqPLygoCA4ODgCA4OBghZj2798PANi/f7/4+syZMxg1ahTatGmD3r17Y82aNRg3bhwAwNfXV2H/mJgYtcdLRcvLy8PixYuRk5MDT0/PEt2Zl0gk+P7779GyZUuEhYVh6dKlGDlyJPr06QNPT0/4+fkhPz+/VHHUrl1bqW6JRIJhw4YBKPhMyYWHhyMhIQHdunVTGvoxZcoUlcewd+9emJqaYs6cOQpd9o2MjDB16lQAgL+/f6liJiIiIiLSJN6ZV7Nr165h3bp16NmzJ8aOHYubN2/Cz88PoaGh2Lt3L6pXrw4AePLkCcaOHYvExER06dIFbm5uSEpKgr+/Py5cuIAtW7bA2dkZFhYW8PT0xNatWwEUdHmX69ChAwDg5cuX+P777+Hi4oIePXrAwsIC0dHRCAgIwLlz5/DHH3+gVSv1PdjSzs4Onp6e8PX1hZ2dHTw8PMR1r4+3Pn78OC5evIiePXti1KhRyMjIQIcOHeDh4YEDBw6gQ4cO4nEA/3bhrkwSiQS/rUGJu9lr4hEtFdHNXiaTYenSpQgLC8N//vMfvPfeeyXe187ODhs2bEBkZCSuXLmCW7du4fr16wgJCUFISAiOHTuGlStXFjuZnlxubi727NmDkydP4tGjR8jKyoIg/DuU4fnz5+K/o6KiAEDle7pGjRqoWbMm4uLixGWvXr3C/fv3Ub16dWzbtk1he1NTU6SlpQEAHj9+XOLjJyIiIiLSNCbzanbhwgUsXboUH3zwgbjM19cXa9aswYoVK/D9998DAL766is8f/4cGzduRJcuXcRtP/vsMwwbNgzz58/H4cOHYWFhgenTp4vjxlVNFmdpaYkzZ86gZs2aCsujoqIwYsQIrFy5Eps3b1bbMdatWxfTp08Xk/k3zTJ/7tw5bNq0CZ07d1ZaJ0/m34ZZ6iUSCUxNS7attj6ipTBBEODj44Pjx49jwIABmDt3bpnKkUqlkEql4uvQ0FB4e3sjNDQU+/btK/HTD7y8vHDhwgXUr18fbm5usLa2hoGBAdLT07F7927k5OSI22ZkZAAArKysVJZlY2OjkMynpqZCEAQ8e/YMGzduLDKGrKysEsVKRERERPQ2YDKvZo0aNcLw4cMVlk2aNAk7duzAkSNH4O3tjXv37iEsLAzDhw9XSOTl+48YMQKbN29GZGSkQqJUFCMjI6VEHgDs7e3h6uqKCxcuIDc3F4aGhuU7uDJwc3NTmciT5shkMnz//ffw8/NDv379sGDBgmInsSupdu3aYcqUKVi6dClCQkJKlMzfunULFy5cQMeOHbF8+XKFbvI3btzA7t27FbY3MzMDAKSkpKgs78ULxTkN5Ns3a9YMW7ZsUVhnbW2N5OTK7WVBRERERKQOTObVrG3btkrdoU1MTODk5ITz58/j0aNHuHbtGoCCrsPyce+FPXjwQPx/SZJ5ALh9+zZ+//13hIaG4vnz58jNzVVYn5ycjBo1apThiMpHnd37qfwKJ/Jubm5YtGhRicbJl4aJiYnSMnkdMplMaV1sbCwAoHPnzkqxyD8rhclnw4+IiMDo0aMV1j19+hSJiYkKy8zMzNCwYUM8evQIaWlpKme7JyIiIiLSNkzm1axatWoql8vHyqelpeHly5cAgDNnzuDMmTNFllXSbr9Xr14Vx9J36dIFDRs2RJUqVSCRSHDy5EncuXNHoZtyZSrqfFDlk8lk+O6773DkyBH06dMH3t7eZUrk4+LicPHiRbi7u4t3veWysrLEO+ny2eeBf+dCePr0qVJ5tWrVAlAwsd2IESPE5Q8ePFAa4y4vt1atWjh//jxu3rwJJycncd26detUTr43YsQI/Pjjj/Dx8cGCBQtg+tqYCnm3/Dp16rz54ImIiIiI3hJM5tUsKSlJ5XL5BF5Vq1aFubk5AGDBggUYM2ZMuetcu3YtcnJysHPnTrRr105hnao7m5WpIp+NTqWzceNGHDlyBFWqVEG9evVUzqPQo0ePYnuDpKenY/ny5fD19YWzszMaN24MY2NjPHv2DBcuXEBqaiqaNWumkJi3aNECxsbG2L17NzIyMmBtbQ2g4JF0zZs3R/PmzXHq1CkkJSXByckJiYmJOH/+PLp06YKAgACF+vX19fHVV1/hyy+/xLRp0+Dm5oZq1aohLCwMz549g729Pe7du6ewj4eHB27cuIGjR48iIiIC7du3R/Xq1ZGRkYHIyEjcvHkTS5YsYTJPRERERFqDybyaXb16FYIgKCSxr169ws2bN2FiYoKGDRvi1f9Pmx4WFlbiZF5PT0+p67zckydPYGVlpZTIZ2VlVcij6QrHVNpHkMnJ7wiXdX8qvfj4eABAZmam0thxudq1axebzDds2BA+Pj4ICgrCzZs3cfz4caSlpcHMzAyNGjVCz549MXToUBgbG4v7WFpawsfHB7///jv279+P7OxsAAXJvL6+PpYvX47ffvsNgYGBuH37tjjJYufOnZWSeaCgS/7q1auxfv16nDx5EsbGxmjfvj2WLl2KWbNmKfUYkEgkWLhwITp37oyDBw/i4sWLyMzMRLVq1cRJHNu3b1+a00lEREREpFFM5tXs4cOH2Lt3r8Js9r///jtevHiBYcOGwcjICK1atYKzs7PY3dnd3V2hDJlMhpCQEIVHtllaWiIqKgrZ2dkKSRJQ8JiwR48eISoqShxPnJ+fjx9++EFpMjB1srS0REJCQpn3BaA0vpkqzsKFC7Fw4cJyl2NkZIRevXqhV69epdqvc+fORU6GaG1tjXnz5qlcFxgYqHJ5u3btsG7dOoVlGRkZiImJQZMmTVTu4+bmBjc3N4V6OQEeERERaYok6R70Up5AZlUfQrWmmg6HtAyTeTXr2rUrFi9ejLNnz6Jx48a4efMmLly4gNq1a2PWrFnidsuXL8fHH3+MmTNnYuvWrXBycoKxsTHi4uJw7do1vHjxAtevXxe379ixI27cuIGpU6eiXbt2MDIyQtu2beHi4oIxY8bgwoULGDVqFN577z0YGRkhODgYiYmJ6NChA4KDgyvkWDt27Ihjx45hxowZcHR0hL6+Pnr06AEHB4di923cuDFq1KiBI0eOwMTEBLVq1YJEIsHIkSM5QRkVKysrCzKZTOEOfH5+Pnx9fZGdnY0ePXpoMDoiIiJ6K2VW3E2uUstKgcnJRTCIDREX5dm54JXbYsDUqkKqFIzygcyXb96oik2F1E0Vg8m8mrVu3RpTp07FL7/8gm3btsHQ0BADBw7El19+KU6CBwD16tXDgQMHsHnzZpw6dQr79u2Dnp4eatSoARcXFwwYMECh3GnTpiE1NRWnT59GYGAgZDIZPD094eLigl69emH16tVYt24dDh06BBMTE3Ts2BG//vorfv311wo7Vvmd1MDAQPzzzz+QyWSoXr16iZJ5fX19+Pr64ueff8bBgwfFZ4e7u7szmadiRUdHY8qUKXB1dYWdnR0yMzNx7do1PHz4EI0bN1YYr09ERESvyc0s8aZCjlGptn+bma/tUvxGlUSQ6AFGVZH1/krI7NpBLzYUJv8sgtm2QZAIyk//UYc8AObFbJM+PbRC6i6T3CzFf+dW0FxchlUqptxKIBEEQdB0EPR2+vrrr3HgwAGcOnUKdevW1UgMQUFBGDduHDw9PTF9+vQit6vMrtLsmq15ycnJ8PX1RVhYGF68eIH8/HzUrFkTPXr0wPjx40t8QYhtqTvYlrqDbak72JZvL/MVjpoOgQBkvb8S+dJ/b+AZ3D0GkyOz3rDHuyUjR4D1jwVPQkr+qgbMjCommU+fdbtCyi0v+YTRb8I781SsPn36AAC8vb0xcuTISqlz5cqVWLt2baXURdrH2toaCxYs0HQYRERERGUms1OcvDq/rouGIiFtxWSeiuTm5gY7OzvxdYsWLSqt7o4dO8LA4N+3Z+HJAImIiIio7ErTldrKygopKSkVF0wlMl/TrviNKpFebKjCnXn9mJA3bF053qZu9hkZmcCPBU9ZSp96AYKZ9naHryhM5t8hMTExOHDgQLHbVa1aFePHj1ea+bsyderUCZ06ddJI3UREREQ6rRRjhCVGZoBhTgUGU3nSp17UdAgik8NfwPjUt8gRBOTXdYF+TAiMApYir257vHr/lwqp08rKEikpxUyA9zaNHzcsNBrc0PTtiu0twWT+HRIbGwtfX99it7Ozs8P48eMrPiAiIiIiosryFs3U/mrwapgcnaMwRj6vQWe8cv8ZMC1+rHRZSMysgRz9CimbNIPJ/DvE1dUVd+/e1XQYRERERETvNlNrvBq2kc+Zp3JhMk9ERERERKQBQrWmyGcST2Wkp+kAiIiIiIiIiKh0mMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWYTJPREREREREpGWYzBMRERERERFpGSbzRERERERERFqGyTwRERERERGRlmEyT0RERERERKRlmMwTERERERERaRkm80RERERERERaxkDTARCpQ35+PmQyWaXUlZubi9zc3EqpiyoW21J3sC11B9tSd7AtdQPbUXdoW1sWjlXbYq8sTOZJJ8TGxiInJ6dS6kpJScHLly8rpS6qWGxL3cG21B1sS93BttQNbEfdoW1tmZWVJf47OjoapqamGoym8tWoUaPYbZjMk07IycmBvr4+9PX1K7wuY2NjGBkZVXg9VPHYlrqDbak72Ja6g22pG9iOukPb2jI/P1/8t5GRkVbFXl6Fj/1NmMyTztDX14ehoWGF12NoaFgp9VDFY1vqDral7mBb6g62pW5gO+oObWvLwt3qDQwMtCr2ysIJ8IiIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyxhoOgAierdFx+gjIcEAtWrloV7dfE2HQ0RERESkFZjME5FKL1MlFVp+WroEG363xK3bRuKy5o45+HTSS1Q1Fyq0bkuLii2fiIiIiKiiMZknqiCvXmk6gvKZNKVGhZavpweYmQFLvCVwbgmEXwd+Wm6E2V/aQiar0KqxfXMiACDrlfa3EwCYmGg6AiIiIiKqbEzmiSrI2E9qajqEt5pMBnw5W4LePQt6APTuCQgCsGhxxd81V2wb7W+nPbsSNR0CEREREVUyToBHRBrj3FLxdetWmomDiIiIiEjb8M48UQWRd+XWVpXRsyD8esEdeblrERVeJYB/28bSygovU1Iqp1IiIiIiIjViMk9UQbR9HPPv655WaPkrfrHCipWGEAQ9tG5VkMiv/EWG5o65mPXflAqtW942piZAtpa3ExERERG9m5jMv0P2798PLy8v8bW7uztWrlypwYiKtmfPHsyfP1987eHhgWXLlmkwondPRc/4Pvu/KVjla4VFi/+dzb5Vy1x84ZkCC842T0RERET0Rkzm30F9+vSBo6Mj7O3tNR1KkZo3bw5PT0+kpqZi27Ztmg6HKoCFhYAF3yTzOfNERERERGXAZP4d5ObmhqFDh2o6jDdycnKCk5MTYmJimMzruHp185nEExERERGVEmezJyIiIiIiItIyvDNPAIAbN25g//79CA4ORnx8PHJzc9GgQQMMGjQIn3zyCQwNDZX2CQ4OxqpVq3Dz5k0YGxujU6dOmDt3Lr766isEBwfj7t27CtsLgoB9+/Zh7969iIyMRH5+Ppo0aYJRo0Zh+PDhlXWoREREREREWo/JPAEA/vrrL5w+fRrt27dH9+7d8erVKwQHB2P58uW4fv061qxZo7D9hQsXMGXKFOjr68Pd3R22trYIDg7GqFGjYGFhoVS+IAiYM2cO/Pz80LBhQ7z//vswMjLCxYsXMW/ePNy/fx9z586trMMlIiIiIiLSakzmCQAwZcoULFq0CPr6+uIyQRAwb9487Nu3D6GhoWjXrh0AID8/HwsXLoRMJsPOnTvh7Ows7uPl5YX9+/crlb9nzx74+flh+PDhWLx4MQwMCt56OTk5mDFjBjZt2oSBAweiRYsWFXykRERERERE2o9j5gkAYGdnp5DIA4BEIsHo0aMBAJcvXxaXh4aGIjY2Fn369FFI5AHgiy++UCoHAP744w9UqVIFCxcuFBN5ADAyMsLMmTMBAEeOHFHb8RAREREREeky3pknAAV3yHfs2IEjR47gwYMHyMzMhCD8+6zvp0+fiv++c+cOAKBNmzZK5dSqVQu1a9dGTEyMuCwrKwuRkZGoUaMG1q9fr7RPXl4eAODBgwdqOx4iIiIiIiJdxmSeAAAzZszA6dOn0bBhQ7i7u6NatWowMDAQn/Oek5Mjbpueng4AsLGxUVlW9erVFZL51NRUCIKAxMRE+Pr6FhlDZmammo6GiIiIiIhItzGZJ0REROD06dPo2rUr1q9fr9BN/tq1a0rPeTc3NwcAvHjxQmV5z58/V3htZmYGoODZ8arG0xMREREREVHpcMw8ITo6GgDQs2dPpfHuISEhSts3a9YMABAWFqa0LiEhAQkJCQrLzM3N0aRJEzx48ACpqanqCpuIiIiIiOidxWSeUKdOHQAFE9sVFhUVpXKMe7t27VCnTh2cOnUKERERCutWrVoljoEvbOzYscjKysL8+fNVdqePjo5W6JpP7y6jl49gFnMRRi8faToUIiIiIqK3FrvZE1q1aoVWrVrh2LFjePbsGZydnREfH4+AgAD06NEDJ06cUNheX18f3t7emDZtGsaMGYOBAweievXquHLlChITE9GsWTPcvXtXYZ+PPvoI4eHhOHDgAK5evYrOnTujRo0aSEpKwoMHDxAeHo7ly5ejbt26lXnoVAr6r1IqtHy97FTUDFkJ06fh4rKsGs5IdJkJmbFFBdVqVUHlEhERERFVLCbzBH19faxbtw4///wzzp8/j+vXr6NBgwb46quv0L17d6VkHgB69OiBjRs3YvXq1Th69ChMTEzQsWNHrFy5EpMnTxbH1ctJJBIsW7YM3bt3x549e3DmzBlkZmbCxsYGDRo0wNy5c9GpU6fKOuRKI8nL0nQIatP4wNAKLV+Q6AFGVZH1/krI7NpBLzYUJv8sQoNjEyARZBVS57NJF7W2jQQDU02HQEREREQaxGSeABTMTP/999+rXPf6XXa5jh07omPHjgrL0tPT8eTJE0ilUpX7uLu7w93dvXzBapGmewZqOgStIRFkyOrrjXzpAABAvnQAsgUBJkdmVVidtr93gW2FlV6xokYGaDoEIiIiItIgjpl/B3l5ecHBwQEzZ84scxmZmZniI+rk8vPz8eOPP+LVq1dwc3MrV4x79uyBg4MD+vTpU65ySLvI7NopvM6v66KhSIiIiIiI3m68M/8OcXR0hKenp/ja3t6+zGU9fvwYo0aNQteuXVG3bl1kZGQgNDQU9+7dg729PcaOHVuuWJs3b64Qq6OjY7nK05R7HxzRdAhqUxm9DPRiQ8U78wCgH6P8NAV1ejbpIl6+TKnQOoiIiIiIKgKT+XeIo6Oj2pLimjVrYsCAAQgODsb58+eRl5eHOnXqYMKECfjss89QpUqVcpXv5OQEJycntcSqSbo0rvmBx/4KLb/2xcUwPrUEOYKA/Lou0I8JgVHAt8iq4Yz4LosqpM6qhqYQDLIrpGwiIiIioorEZJ7KxMbGBj4+PpoOgypRvolVhZYf19UbtS99hyqFxshn1nJBfOd5kBlbVmjdRERERETahsk8Eb0VZMaWiO31I4xePoJhWixyq9ohx7KhpsMiIiIiInorMZknordKjmVDJvFERERERMXgbPZEREREREREWobJPBEREREREZGWYTJPREREREREpGWYzBMRERERERFpGSbzRERERERERFqGyTwRERERERGRlmEyT0RERERERKRlmMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWYTJPREREREREpGUMNB0Akbrk5+dXSj25ubnIzc2tlLqoYrEtdQfbUnewLXUH21I3sB11h7a1ZV5ensK/tSn28ippXsNknnSCkZERcnJyKiWhz87ORk5OToXXQxWPbak72Ja6g22pO9iWuoHtqDu0rS0Lx5qTkwN9fX0NRvN2YjJPOsHOzg4ymaxS6rK2tkZycnKl1EUVi22pO9iWuoNtqTvYlrqB7ag7tK0tMzIyxH/Xq1cPZmZmGozm7cRknnSCvr5+pV2tMzQ0hKGhYaXURRWLbak72Ja6g22pO9iWuoHtqDu0rS0Lx6ptsVcWToBHREREREREpGWYzBMRERERERFpGSbzRERERERERFqGyTwRERERERGRlmEyT0RERERERKRlmMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWYTJPREREREREpGWYzBMRERERERFpGQNNB0BERET0Nnr4SEBsLGBnBzRqKNF0OERERAqYzBMREZHOS04RSrzty1QBPy8HroX/u6y1s4A5swFLi5In9dZWvABAREQVh8k8ERERVbqsLNXJtbGxUOS68hg0pORl6ukBZmbAEm8JnFsC4deBn5YLGDcekMlKXs4/x8oQaBmZmvLCARHRu4bJPBEREVW6vu8VlRS/qNQ4VJHJgC9nS9C7Z0GC3LsnIAjAosWlu8hQ9DGq34UzTOaJiN41nACPiIiI6DXOLRVft26lmTiIiIiKwjvzREREVOn+Oab6TrKVlTVSUpLVXl9p75KHXy+4Iy93LaL0dRZ1jEREROrAZJ6IiIgqXVFjvKtUkSA7W/1J8OG/S77tgkUCVvwiQBAK7shfiwBWrhLQ2hn4dnHJY+M4diIiqkil7ma/f/9+ODg4iP/NnDmzIuKqMGPHjoWDg4Pay42JiYGDgwO+/vprtZf9NpK/D/bv319hdYwcOVLhvRYUFFRhdRERkW6ztpKU+L+liyWwb1owRv4/wwQsWizAvimwdHHJy+BM9kREVNHKfGe+T58+cHR0hL29vTrjeeetWbMGvr6+2LZtG1xdXTUdTqk5ODigQ4cO2L59e7nLGjZsGDp37ozg4GAEBwerIToiIqLiWVlJsPJnCZ8zT0REb7UyJ/Nubm4YOnSoOmPRajVr1sTRo0dRtWpVTYdSKfr27QtnZ2fUqFGjwuoYPnw4gIILHEzmiYiosjVqKEGjhpqOgoiISDWOmVcTQ0NDNGnSRNNhVJqqVau+MxcuiIiIiIiI3jZqfTTd06dPsXTpUvTr1w+tWrVChw4dMGjQIHh7eyM9PV3c7uuvv4aDgwOio6OxceNG9O/fH61atYK7uzuOHDkCAMjNzcWqVavQu3dvtGzZEoMGDcL58+dV1hsXF4dvvvkG3bp1Q4sWLdC9e3d88803iI+PL3Hshw8fRosWLTB06FAkJSWJy69cuYKpU6fC1dUVLVq0QL9+/bBy5UpkZWUp7F/UmHn5GP28vDz8+uuv6N27N1q0aIH+/ftjx44dStv6+voCAMaNGyeOFe/du7fCdklJSfj+++/Rt29ftGjRAq6urpg+fToiIyOVjqt3797o3bs3MjMz4ePjI56jQYMG4fjx40rbp6WlYdWqVXB3d0ebNm3Qrl07DBgwAF5eXgrn8/Ux80FBQeJcBMHBwQpj3ffv3499+/bBwcEBv//+u8rzf/bsWTg4OGDp0qUq1xMREREREdG/1HZnPisrCyNHjkRsbCy6dOkCNzc35ObmIjo6GgcOHMCkSZNgbm6usI+Pjw8iIiLQq1cv6Onp4ejRo5g9ezYsLCywY8cOREVFoUePHsjOzoafnx8+++wzHDt2DPXq1RPLePToEUaNGoWkpCT06tUL9vb2iIqKwr59+3DmzBns2rULDRo0eGPsW7duhY+PD1xdXfHrr7+Kce7atQuLFy+GpaUlevXqBWtra9y4cQNr165FUFAQtm3bBiMjoxKdn1mzZiEiIgLdu3eHnp4ejh07hiVLlsDQ0BAjRowAAHh4eAAoSIY9PDxgZ2cHAAp3wJ88eYKxY8ciMTFRPM9JSUnw9/fHhQsXsGXLFjg7OyvUnZubiwkTJuDly5fo168fsrKycPToUfz3v//F77//jq5duwIABEHAxIkTER4ejrZt26Jbt27Q09NDbGws/vnnHwwZMgS1a9dWeXx2dnbw9PSEr68v7OzsxGMBAEdHRzRs2BA+Pj7Ys2cPJk2apLT/nj17AAAffPBBic4nERERERHRu0xtyfzly5cRExOD8ePHw8vLS2Fdenq6yqT3/v37OHToEGxsbAAAQ4cOxYgRIzBr1izY29vj8OHDqFKlCgCga9eumDlzJrZu3Yr58+eLZSxatAhJSUlYsmQJPvzwQ3H57t27sXDhQixatAhbtmwpMu4VK1Zg3bp1GDBgAH766Scxznv37mHp0qVwdHTE5s2bYWVlJe6zfv16LF++HH/88QcmTJhQovOTkJAAPz8/8ULBuHHjMGjQIGzatElM5ocOHYrY2FgxmVc1Ad5XX32F58+fY+PGjejSpYu4/LPPPsOwYcMwf/58HD58WGGfp0+fomXLlgoXHwYNGoTx48dj8+bNYjIfGRmJ8PBw9O3bV+whIJeTk4Pc3Nwij69u3bqYPn26mMxPnz5daZvBgwdjx44duHLlCtq3by8uT0pKwpkzZ+Ds7FwhTxogIiIiIiLSNWrtZg8AJiYmSsvMzc1VJvNTp04VE3kAcHZ2Rr169ZCamoqZM2eKiTwA9O/fH4aGhrh79664LD4+HoGBgWjatKmYEMuNGDECTZo0weXLl1V2t8/Pz8e8efOwbt06jBw5EitXrlSI8c8//0ReXh7mzZunkMgDwKRJk2BjYwM/P7/iT8j/mzVrlkLPhMaNG6Nt27Z4+PChwhCEN7l16xbCwsIwZMgQhUQeABo1aoQRI0YgMjJSZXd7Ly8vhePr1KkT7OzscOPGDaVtjY2NlZYZGRnBzMysRHEWRX6xRX4XXu7AgQPIzc3lXXkiIiIiIqISUtud+fbt28PW1hbr1q3D7du30aNHD7Rr1w4ODg6QSFQ/zsXR0VFpma2tLaKjo5XW6evrw8bGBomJieKyW7duiXW/XodEIoGLiwvu37+PO3fuKHUP9/T0REBAADw9PVXeRQ4PDwcAnD9/HpcvX1Zab2BggIcPH6o8LlWcnJyUltWsWRNAwTj114cgqHLt2jUAwPPnz7FmzRql9Q8ePBD/L5VKxeUWFhYKQxMK1y8vEwCaNGkCqVQKPz8/JCQkwM3NDe3atYOTkxP09fWLja84Dg4OaNOmDU6cOIEFCxaIwwf27duHKlWqwN3dvdx1EBERERERvQvUlsxXrVoVf/75J9asWYPTp0/j7NmzAIBatWph8uTJGD16tNI+qhJYAwODN67Ly8sTX8vvaFevXl1lTLa2tgAKkuXXhYaGwsTEBN27d1e578uXLwEAa9euVbm+tFTN/C4/1vz8/BKVIY/pzJkzOHPmTJHbvT45X1GzzhsYGEAmkym83rp1K3x9feHv749ly5YBAKytrTFmzBh89tln5U7qR4wYAS8vLxw6dAijR49GSEgIHjx4gBEjRpT7zj8REREREdG7Qq2Ppqtbty5++OEH5OfnIzIyEhcuXMD27duxZMkSWFpa4v3331dndWLC//z5c5Xr5ctVXRjYsmULPvnkE0yYMAEbN25E69atVZYdGhpaorvmlUEex4IFCzBmzJgKqcPGxgYLFy7EggUL8ODBAwQGBmL79u1Ys2YNDA0NMWXKlHKV7+7uDh8fH+zduxejR4/G3r17AXDiOyIiIiIiotJQ+5h5oKBLvKOjIz799FOsWLECABAQEKD2euRd8UNCQiAIgsI6QRAQGhqqsF1hzZs3x5YtW2BgYICJEycqdDcHgFatWgH4t7t9ZdHTK2iSwnfM5eSz1IeFhVV4HBKJBE2aNMHo0aOxefNmACVrQz09vTf2NDAxMcHgwYNx69YtBAcH4/jx43BwcBDPNxERERERERVPbcl8ZGQkYmNjlZbL746rmlStvOrUqQNXV1dERUWJd3jl9u7di6ioKHTs2LHIx6k5Ojpi69atMDAwwIQJE3D16lVx3ahRo2BgYIBvv/1W5QR6qamp4ph9dZJPtpeQkKC0rlWrVnB2dsaRI0dw9OhRpfUymQzBwcFlrjs6Ohr37t1TWl6aNrS0tFQZe2HyifBmz56NrKwspckLiYiIiIiI6M3U1s3+0qVL+OGHH9C2bVs0btwYVlZWiI6ORkBAAExMTCqsW7i3tzdGjRqFBQsW4PTp02jatCnu3buHgIAA2NjYwNvb+437N2vWDFu3bsX48eMxadIk/P7772jbti2kUikWLVoEb29vDBgwAD169EC9evWQnp6OmJgY8fFxS5YsUevxuLq6QiKRYOXKlXjw4AGqVq0Kc3NzjBo1CgCwfPlyfPzxx+Jj+pycnGBsbIy4uDhcu3YNL168wPXr18tU9927d/H555+jZcuWsLe3h62tLRITE3Hy5Eno6+uX6DF8HTt2xLFjxzBjxgw4OjpCX18fPXr0UHjknFQqRZs2bRAWFgZjY2MMHjy4TPESERFVFEnSPeilPIHMqj6Eak01HQ4REZEStSXz3bp1Q2xsLEJCQuDv74/MzEzUrFkTAwcOxKRJk9CkSRN1VaWgcePG2LdvH3x9fXH+/HmcPXsW1tbW8PDwgKenJ+zs7Ioto1mzZtiyZQvGjx+PiRMnYsOGDXBxccGIESPEdVeuXEFAQADMzc1Rp04djB8/HkOGDFH78TRt2hQ+Pj7YtGkTtmzZgpycHNjZ2YnJfL169XDgwAFs3rwZp06dwr59+6Cnp4caNWrAxcUFAwYMKHPdLVq0wOTJkxEcHIyzZ88iNTUVtra26NKlCyZNmlSirvDz5s0DAAQGBuKff/6BTCZD9erVlZ4f7+HhgbCwMPTv3x8WFhZljpmIiOiNMl+UbvusFJicXASD2BBxUZ6dC165LQZMrUpeThWb4rchIiIqB4nw+mDzYuzfvx9eXl7w8fHB0KFDKyou0nHe3t7YtWsX/vjjD7Rv3/6N265Zswa+vr7Ytm0bXF1dVW6TnJxcEWGqZG1tXan1UcVhW+oOtqUWys1UudjKygopKSlqq8Z8TbtSbS9I9ACjqnjV1xsyu3bQiw2FyT+LgJx0SATl+WyKkj49tLShlp1hlcqrqxT4udQNbEfdoW1tmZGRIT5eOzo6+p178pW1tXWx25T5zryXlxe8vLzg7u6OlStXlrUYege9ePECBw8eRJMmTd6YyI8cOVJhHgMiItIdRSXZeQA0+QwZiSBDVl9v5EsLerrlSwcgWxBgcmRWqcop7UWE8kifdbvS6iIiordHqZN5R0dHeHp6iq/t7e3VGhDprjNnzuDmzZs4ceIEMjMzFd5HqgwbNgydO3cWX5dkyAQREVF5yewUE/H8ui4aioSIiKhoZUrmVT3qjag4x48fx4EDB1CjRg3MmjUL7u7ub9x++PDhlRQZERFVtqK6oWu6mz0A6MWGinfmAUA/JuQNW6tWqd3siYjonaS2CfCIirNs2TIsW7ZM02EQEdHboIhx3hIjM8AwR23VpE+9WKrtTQ5/AeNT3yJHEJBf1wX6MSEwCliKvLrt8er9X0pe0Fs6jp2IiHQHk3kiIiLSXaWcVf7V4NUwOTpHYYx8XoPOeOX+M2Ba/GRERERElYXJPBEREZGcqTVeDdvI58wTEdFbj8k8ERER0WuEak2RzySeiIjeYnqaDoCIiIiIiIiISofJPBEREREREZGWYTJPREREREREpGWYzBMRERERERFpGSbzRERERERERFqGyTwRERERERGRlmEyT0RERERERKRlmMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWYTJPREREREREpGUMNB0AkTrk5+dDJpNVSl25ubnIzc2tlLqoYrEtdQfbUnewLXUH21I3sB11h7a1ZeFYtS32ysJknnRCbGwscnJyKqWulJQUvHz5slLqoorFttQdbEvdwbbUHWxL3cB21B3a1pZZWVniv6Ojo2FqaqrBaCpfjRo1it2GyTzphJycHOjr60NfX7/C6zI2NoaRkVGF10MVj22pO9iWuoNtqTvYlrqB7ag7tK0t8/PzxX8bGRlpVezlVfjY34TJPOkMfX19GBoaVng9hoaGlVIPVTy2pe5gW+oOtqXuYFvqBraj7tC2tizcrd7AwECrYq8snACPiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMgaaDoCIiIjoXRMdo4+EBAPUqpWHenXzNR0OERFpISbzRERERP/vZaqkQstPS5dgw++WuHXbSFzW3DEHn056iarmQoXVa2lRcWUTEZFmMJknIiIitXn1qnz7Z70qfxnlMWlKjQotX08PMDMDlnhL4NwSCL8O/LTcCLO/tIVMVnH1bt+cWHGFF0HdbWlior6yiIh0AZN5IiIiUpuxn9RUQynqKOPtJJMBX86WoHfPgh4AvXsCggAsWlyxd87V0y5lob569+yq/AsSRERvM06AR0RERFSJnFsqvm7dSjNxEBGRduOdeSIiIlKb8nbntrSywsuUFPUEUwaVcQc7/HrBHXm5axEVXqVGutlrui2JiHQdk3kiIiJSm/KOazY1AbI1ODb693VPK7T8Fb9YYcVKQwiCHlq3KkjkV/4iQ3PHXMz6b0qF1auJ8eaabksiIl3HZP7/7d+/H15eXuJrd3d3rFy5UoMRlc7YsWMRHByMu3fvajoUtdizZw/mz58vvvbw8MCyZcs0GBEREb0LKnrW99n/TcEqXyssWvzvbPatWubiC88UWHDGeSIiKgUm86/p06cPHB0dYW9vr+lQ3mnNmzeHp6cnUlNTsW3bNk2HQ0REpBYWFgIWfJPM58wTEVG5MZl/jZubG4YOHarpMN55Tk5OcHJyQkxMDJN5IiLSOfXq5jOJJyKicuFs9kRERERERERahsl8CTx9+hRLly5Fv3790KpVK3To0AGDBg2Ct7c30tPTxe2+/vprODg4IDo6Ghs3bkT//v3RqlUruLu748iRIwCA3NxcrFq1Cr1790bLli0xaNAgnD9/XmW9cXFx+Oabb9CtWze0aNEC3bt3xzfffIP4+PgSx3748GG0aNECQ4cORVJSkrj8ypUrmDp1KlxdXdGiRQv069cPK1euRFZWlrhNYGAgHBwcsHjxYpVl37t3Dw4ODvjss8/EZWPHjoWDgwNycnKwatUq9O3bF05OTlizZg0AIC0tDatWrYK7uzvatGmDdu3aYcCAAfDy8irVcREREREREb3L2M2+GFlZWRg5ciRiY2PRpUsXuLm5ITc3F9HR0Thw4AAmTZoEc3NzhX18fHwQERGBXr16QU9PD0ePHsXs2bNhYWGBHTt2ICoqCj169EB2djb8/Pzw2Wef4dixY6hXr55YxqNHjzBq1CgkJSWhV69esLe3R1RUFPbt24czZ85g165daNCgwRtj37p1K3x8fODq6opff/1VjHPXrl1YvHgxLC0t0atXL1hbW+PGjRtYu3YtgoKCsG3bNhgZGaFjx45o2LAhDh8+jLlz58Lktalw9+zZAwAYMWKEUt2enp64c+cOunbtCktLS9SrVw+CIGDixIkIDw9H27Zt0a1bN+jp6SE2Nhb//PMPhgwZgtq1a5epnYiIiIiIiN4lTOaLcfnyZcTExGD8+PEKs90DQHp6OoyMjJT2uX//Pg4dOgQbGxsAwNChQzFixAjMmjUL9vb2OHz4MKpUqQIA6Nq1K2bOnImtW7cqzN6+aNEiJCUlYcmSJfjwww/F5bt378bChQuxaNEibNmypci4V6xYgXXr1mHAgAH46aefxDjv3buHpUuXwtHREZs3b4aVlZW4z/r167F8+XL88ccfmDBhAoCCRP3HH3/E8ePHMWTIEHHbnJwcHDx4EDVr1kT37t2V6n/69CkOHTqkUP7du3cRHh6Ovn37wtfXV2H7nJwc5ObmFnk8RERERERE9C92sy+h1+9KA4C5ubnKZH7q1KliIg8Azs7OqFevHlJTUzFz5kwxkQeA/v37w9DQUOGRcvHx8QgMDETTpk2V7nqPGDECTZo0weXLl1V2S8/Pz8e8efOwbt06jBw5EitXrlSI8c8//0ReXh7mzZunkGgDwKRJk2BjYwM/Pz9xmYeHB4yMjMS78HKnTp1CcnIyhg4dCn19faU4pk+frlS+nLGxsdIyIyMjmJmZqdyeiIiIiIiIFPHOfDHat28PW1tbrFu3Drdv30aPHj3Qrl07ODg4QCKRqNzH0dFRaZmtrS2io6OV1unr68PGxgaJiYnislu3bol1v16HRCKBi4sL7t+/jzt37ih1S/f09ERAQAA8PT0xffp0pTjCw8MBAOfPn8fly5eV1hsYGODhw4fiaxsbG/Tr1w9+fn54+PAhGjVqBADYu3cvJBIJhg8frvIctGrVSmlZkyZNIJVK4efnh4SEBLi5uaFdu3ZwcnJSeUGAiIiIiIiIVGMyX4yqVavizz//xJo1a3D69GmcPXsWAFCrVi1MnjwZo0ePVtrn9TH0QEGS/KZ1eXl54mv5pHrVq1dXGZOtrS2AgsnkXhcaGgoTExOVXd8B4OXLlwCAtWvXqlyvyogRI+Dn54c9e/bgq6++QlxcHC5duoTOnTujbt26KvdRFbuBgQG2bt0KX19f+Pv7Y9myZQAAa2trjBkzBp999hmTeiIiIiIiohJgN/sSqFu3Ln744QdcvnwZf//9N+bMmQNBELBkyRKFLunqIk/4nz9/rnK9fLmqCwNbtmyBiYkJJkyYgGvXrhVZdmhoKO7evVvkf4W5urqiUaNGOHjwIHJzc7Fv3z7IZDJ88MEHRR5DUb0WbGxssHDhQpw/fx5Hjx7FwoULYWVlhTVr1uD3338vsjwiIiIiIiL6F5P5UtDX14ejoyM+/fRTrFixAgAQEBCg9nrkXfFDQkIgCILCOkEQEBoaqrBdYc2bN8eWLVtgYGCAiRMnKiX08u7v8u72JTVixAg8f/4cp06dwv79+2FtbY0+ffqUqozCJBIJmjRpgtGjR2Pz5s0AKuZcEhERERER6SIm88WIjIxEbGys0nL53XFVk7mVV506deDq6oqoqCjs3btXYd3evXsRFRWFjh07FvkYN0dHR2zduhUGBgaYMGECrl69Kq4bNWoUDAwM8O2336qcQC81NVUcs1+YfCK87777DnFxceLr0oiOjsa9e/eUllfkuSQiIiIiItJFHDNfjEuXLuGHH35A27Zt0bhxY1hZWSE6OhoBAQEwMTHBmDFjKqReb29vjBo1CgsWLMDp06fRtGlT3Lt3DwEBAbCxsYG3t/cb92/WrBm2bt2K8ePHY9KkSfj999/Rtm1bSKVSLFq0CN7e3hgwYAB69OiBevXqIT09HTExMQgODoaHhweWLFmiUJ61tbU4ER6AIie+e5O7d+/i888/R8uWLWFvbw9bW1skJibi5MmT0NfXFx+HR0REpMuMXj6CYVoscqvaIceyoabDISIiLcVkvhjdunVDbGwsQkJC4O/vj8zMTNSsWRMDBw7EpEmT0KRJkwqpt3Hjxti3bx98fX1x/vx5nD17FtbW1vDw8ICnpyfs7OyKLaNZs2bYsmULxo8fj4kTJ2LDhg1wcXHBiBEjxHVXrlxBQEAAzM3NUadOHYwfP17hefKFeXh4wM/PD+3atSvTcbdo0QKTJ09GcHAwzp49i9TUVNja2qJLly6YNGmSyhnwiYiIKpP+q5QKK1svOxU1Q1bC9Om/Q92yajgj0WUmZMYWFVJnvolVhZRLRESax2S+GE2aNMG8efNKtO2yZcvEGdpft3379iL3K2qsuJ2dHXx8fEpUd1HlN2vWDIGBgUrLW7VqJY77L6nbt28DKBg/X9o4gIInAMyePbtUdRIRkXaR5GWVr4Bc4/KXUQ6NDwytsLIFiR5gVBVZ76+EzK4d9GJDYfLPIjQ4NgESQVYhdd774EiFlFsiamhLwcBUTcEQEekeJvOv8fLygpeXF9zd3bFy5UpNh/PWyM7Oxs6dO2FlZYUBAwZUeH179uzB/PnzK7weIiJSr6Z7Bpa7DFs1xPE2kggyZPX1Rr604O9ovnQAsgUBJkdmVVid6miP8ihvW0aN5OS4RERFYTL//xwdHeHp6Sm+tre312A0b4+QkBBcuXIFFy5cQFxcHGbPng0TE5MKr7d58+YK7aFq5n4iIiJtI7Nrp/A6v66LhiIhIiJtx2T+/zk6OjJhVOHy5cvw9fWFtbU1xo8fX2mT1Dk5OcHJyalS6iIiIvUpb7duS0srvHyZop5gyqCi72TrxYaKd+YBQD8mpELr02Q3e023JRGRrmMyT280ffp0TJ8+XdNhEBGRlij3GGdDUwgG2eoJpgweeOyvsLJrX1wM41NLkCMIyK/rAv2YEBgFfIusGs6I77KoQurU6JhzDbclEZGuYzJPRERE9P8qcvb3uK7eqH3pO1QpNEY+s5YL4jvPg8zYssLqJSIi3cRknoiIiKgSyIwtEdvrRz5nnoiI1ILJPBEREVElyrFsyCSeiIjKTU/TARARERERERFR6TCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyBpoOgEhd8vPzK6We3Nxc5ObmVkpdVLHYlrqDbak72Ja6g22pG9iOukPb2jIvL0/h39oUe3mVNK9hMk86wcjICDk5OZWS0GdnZyMnJ6fC66GKx7bUHWxL3cG21B1sS93AdtQd2taWhWPNycmBvr6+BqN5OzGZJ51gZ2cHmUxWKXVZW1sjOTm5UuqiisW21B1sS93BttQdbEvdwHbUHdrWlhkZGeK/69WrBzMzMw1G83ZiMk86QV9fv9Ku1hkaGsLQ0LBS6qKKxbbUHWxL3cG21B1sS93AdtQd2taWhWPVttgrCyfAIyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLQMk3kiIiIiIiIiLcNknoiIiIiIiEjLMJknIiIiIiIi0jJM5omIiIiIiIi0DJN5IiIiIiIiIi3DZJ6IiIiIiIhIyzCZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItY6DpAIiI6N3w8JGA2FjAzg5o1FCi6XCIiIiItBqTeSIiKpXkFKFU279MFfDzcuBa+L/LWjsLmDMbsLQoWVJvbcXkn4iIiKgwJvNERDoiK6t0SXZZDRpSunr09AAzM2CJtwTOLYHw68BPywWMGw/IZCUr659jb15vbCyo7fhNTXnhgIiIiN5+TOaJiHRE3/cqJ5kvLZkM+HK2BL17FiTJvXsCggAsWlzyeIs/thdlD/A1F84wmSciIqK3HyfAIyKiCufcUvF161aaiYOIiIhIV/DOPBGRjvjnWOXcUS5LD4Dw6wV35OWuRZRu/+KOzcrKGikpyaWOi4iIiEhbMZknItIRlTXW+/Dfpdt+wSIBK34RIAgFd+SvRQArVwlo7Qx8u7hkMRd3bFWqSJCdze7xRERE9O5gMq/F9u/fDy8vL/G1u7s7Vq5cqcGI1GfPnj2YP3+++NrDwwPLli3TYEREJFfameWXLgYWLxUUxsi3dwEWzZfAirPUExEREZUJk3kd0KdPHzg6OsLe3l5tZfbu3RsAEBAQoLTu9YsIqnTs2BFbt24VX9++fRvHjh3DzZs3cfPmTSQnJ6NDhw7Yvn27yv2bN28OT09PpKamYtu2beU4EiLSNCsrCVb+LOFz5omIiIjUiMm8DnBzc8PQoUMrrT5HR0d4enqqXHfixAlERUWha9euCstPnjyJdevWwdDQEI0aNUJy8pvHtjo5OcHJyQkxMTFM5ol0RKOGEjRqqOkoiIiIiHQDk3kqNUdHRzg6Oiotz8nJwR9//AEDAwN4eHgorBswYAB69+4NqVSKlJQUpWSfiIiIiIiISo6PptNB3333HRwcHHD79m2F5ZMnT4aDgwPmzZunsPzs2bNwcHDA+vXrERMTAwcHB8TGxiI2NhYODg7if2vWrHljvSdPnkRKSgp69uyJ6tWrK6yzt7eHk5MTDA0N1XOQRERERERE7zDemddBrq6u2LZtG4KCgsQ76Pn5+QgNDQUABAUFKWwfHBwMoGCcu4WFBTw9PcXx7h9//LG4XYcOHd5Y7969ewEAH3zwgXoOhIiIiIiIiFRiMq+DOnToAD09PQQGBmL8+PEAgJs3byI9PR2dOnXC5cuXERcXhzp16gAoSO7NzMzg5OQEfX19TJ8+HQcOHAAATJ8+vUR1xsbG4vLly6hZsya6detWIcdFREREREREBdjNXgdZWFigWbNmCAkJQX5+PgAgMDAQEolEnLguMDAQAJCeno5bt27BxcUF+vr6Za5z//79kMlkGDp0aLnKISIiIiIiouIxmddRrq6uSEtLw82bNwEU3H1v1qwZXFxcYGtrK3a1v3LlCvLz8+Hq6lrmumQyGfbv3w+JRIJhw4apJX4iIiIiIiIqGpN5HSVPzoOCgpCXl4erV6+Kyzp06CAm8/L/lyeZv3jxIuLi4tCxY0fUq1evnJETERERERFRcZjM66j27dtDX18fQUFBuH79OjIzM8WE3dXVFfHx8Xjy5AmCg4NRtWpVNG/evMx1ceI7IiIiIiKiysVkXkeZm5vD0dERoaGhuHjxIvT19dG+fXsABbPWA4C/vz9u374NFxcX6OkpvhX09PTE8fZvkpycjFOnTsHKygp9+/ZV/4EQERERERGREibzOszV1RWZmZnYsWMHmjdvjqpVqwIAGjRogFq1amHjxo2QyWRicl+YpaUlkpOTkZ2d/cY6Dh48iNzcXAwaNAhGRkYVchxERERERESkiI+m02Gurq7YuHEjXrx4gaFDhyqtO3jwoPjv13Xs2BE3btzA1KlT0a5dOxgZGaFt27ZwcXFR2G7fvn0Aiu9if//+fWzYsAEA8OrVKwDAgwcP8PXXXwMArK2tMXfu3DIcJRFpE0nSPeilPIHMqj6Eak01HQ4RERGR1mIyr8NcXFxgYGCAvLw8pYRdnsxbWlrCwcFBad9p06YhNTUVp0+fRmBgIGQyGTw9PRWS+YiICERGRqJVq1Yqyyjs+fPn4rPrVS2zs7NjMk+kLTJflH6frBSYnFwEg9gQcVGenQteuS0GTK1KXk4Vm9LXTURERKSDmMzrMDMzM/HRdK8bNmzYGx8jZ2Zmhm+//faN5bdq1Qp3794tUSyurq4l3paIyiE3s8KrMF/bpdT7CBI9wKgqst5fCZldO+jFhsLkn0Uw2zYIEkFW4nLSp4eqLj/HSL3HblhFfWURERERVQAm8zrAy8sLXl5ecHd3x8qVKzUdjlrs2bMH8+fP13QYRFrHfE07TYegkkSQIauvN/KlAwAA+dIByBYEmByZVapyijq+PADm5Q2ykPRZt9VYGhEREZH6MZnXYo6OjvD09BRf29vbazAa9WrevLnCsTk6OmowGiJSB5mdYiKeX9eliC2JiIiIqDhM5rWYo6Ojzia5Tk5OcHJy0nQYRFqnqG7o6lTWu/96saHinXkA0I8JecPWqhV1fFZWVkhJSSlTXERERETaiMk8EZEuqYSx3ulTL5Z6H5PDX8D41LfIEQTk13WBfkwIjAKWIq9ue7x6/5eSF1TE8UmMzADDnFLHRURERKStmMwTEVHplGFG+VeDV8Pk6ByFMfJ5DTrjlfvPgKm1OqMjIiIieicwmScioopnao1XwzbyOfNEREREasJknoiIKo1QrSnymcQTERERlZuepgMgIiIiIiIiotJhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWYTJPREREREREpGWYzBMRERERERFpGSbzRERERERERFqGyTwRERERERGRlmEyT0RERERERKRlmMwTERERERERaRkm80RERERERERahsk8ERERERERkZZhMk9ERERERESkZZjMExEREREREWkZJvNEREREREREWobJPBEREREREZGWkQiCIGg6CCIiIiIiIiIqOd6ZJyIiIiIiItIyTOaJiIiIiIiItAyTeSIiIiIiIiItw2SeiIiIiIiISMswmSciIiIiIiLSMkzmiYiIiIiIiLSMgaYDINJm69evR2BgIO7fv4/k5GSYmprCzs4OgwYNwkcffQRTU1NNh0glkJmZiX/++QcBAQG4c+cO4uPjYWRkhGbNmuGjjz7C+++/r+kQqRSuXLmCgIAA3LhxA7du3UJ6ejo8PDywbNkyTYdGRYiIiMCaNWtw7do15ObmomnTpvj4448xaNAgTYdGpXDw4EGEhobixo0biIyMRG5uLnx8fDB06FBNh0alkJiYiGPHjuHcuXN48OABnj9/DktLS7Rt2xaTJk2Cs7OzpkOkEkpNTcXq1atx/fp1xMTE4OXLl7C2tkajRo0wevRo9OvXDxKJRNNhUjnwOfNE5dC7d29YW1tDKpWiWrVqyMzMRHBwMKKiotCsWTP8+eefTOi1wLlz5/Dpp5/CysoKnTp1Qr169ZCUlIR//vkHqampGDNmDBYsWKDpMKmEvv76axw4cACmpqaoXbs2Hjx4wGT+LRYUFISJEyfC0NAQAwcORNWqVeHv74+YmBjMnDkTU6dO1XSIVEK9e/dGbGwsrK2tUaVKFcTGxjKZ10I///wzNmzYgPr166N9+/aoVq0aHj9+jJMnT0IQBCxfvhzu7u6aDpNK4PHjxxgyZAicnZ1Rv359WFlZISkpCadPn0ZSUhJGjBiBb7/9VtNhUjkwmScqh+zsbBgbGyst/+qrr3Dw4EEsXLgQo0eP1kBkVBp37txBVFQUBgwYAENDQ3H58+fPMWLECMTGxmLPnj1o1aqVBqOkkrp+/TpMTEzQuHFjXL9+HR9++CGT+bdUXl4e3nvvPSQkJGD37t1o3rw5ACA9PR0fffQRHj58iCNHjqBhw4aaDZRK5NKlS2jQoAHs7Oywfv16LF++nMm8FvL394eNjQ1cXFwUloeEhGD8+PEwMzPD+fPnYWRkpKEIqaTy8/MhCAIMDBQ7Y6enp+PDDz/EvXv34OfnB3t7ew1FSOXFMfNE5aAqkQeA/v37Ayi4Ikpvv2bNmmHQoEEKiTwAVK9eHR9++CGAgq7bpB1atmwJe3t76OvrazoUKkZgYCCePHmC999/X0zkAcDc3BzTpk1DXl4e9u/fr8EIqTQ6d+4MOzs7TYdB5dSvXz+lRB4AXFxc4OrqipSUFNy9e1cDkVFp6evrKyXyQMF3bNeuXQHwt6q2YzJPVAHOnj0LALzSqQPkfwSZGBKpX3BwMACIPyoL69Kli8I2RKR58r+JqhJE0h7Z2dkIDAyERCJB06ZNNR0OlQM/iURqsGXLFqSlpSE1NRVXr17FjRs30LVrVwwZMkTToVE55Ofn4++//4ZEIkHnzp01HQ6Rznn06BEAoEGDBkrrLC0tYW1tzbtGRG+JuLg4XLp0Cba2tpBKpZoOh0ohNTUVW7duhUwmQ1JSEs6dO4f4+Hh4enpyGJOWYzJPpAbbtm1DbGys+Hrw4MHw9vZW6rZN2mXVqlWIjIzEsGHD+MOF/q+9OwiJog3AOP5oeWhbETMh0oxMAkWCMjUhOi0otUgeMkgQChE6hB3CQxrhIZH24GIidigwIlC3hIiCiigorDati4jeEm0NpaxdJVrc7fChJG4fq62Or/5/t513Dg+8zDDPzrwzWAGBQECSlJiYGHHcbrdrfHx8NSMBiCAYDKq2tla/fv3SxYsXeVrNMD9+/FBra+v874SEBNXW1urs2bMWpkIsUOax4c2t/4rW7du3VVhYuGDb8+fPJUkTExN6+/atXC6XysvLdfPmTe3YsSOWcfE/YjGXczo7O3Xjxg3l5OSorq4uRgkRrVjOJQBg+UKhkC5duiSv16vy8nKeOjRQenq6hoaGNDs7K5/Pp0ePHqm5uVkfPnyQ2+1m2YTBmDlseE6nU9PT01Hvv3379r+Opaamyul0KiMjQydPnlRTU5PcbncMUiIasZrLe/fu6cqVK9q3b59u3bqlrVu3xioiohTL4xJrl91ulyT5/f6I44FA4K937QGsvHA4rPr6ej148EClpaVqaGiwOhL+waZNm5Senq7q6mrFx8fL5XKpq6tLp0+ftjoalokyjw1vJb4fvn//fiUlJfHiplUWi7n0eDy6fPmysrKy1NHRoeTk5Bgkw1KtxHGJtWdureanT5+Um5u7YOz79+/69u2bDhw4YEEyAKFQSHV1dbp//76cTqeampoUH8+7s9eLI0eOyOVy6d27d5R5g3FEAitgenpafr+fNWWG8Xg8qq+vV2Zmpjo6OrRt2zarIwHrWn5+viTp1atXi8Zev34tSSooKFjVTAAWFvljx47p2rVrXNOsM1++fJHE13pMR5kHlmlsbEyjo6OLtgeDQTU2NioUCuno0aMWJMNydHd3LyjyKSkpVkcC1r2ioiLt2rVLDx8+1ODg4Pz2QCCgtrY2bd68WWVlZRYmBDaeP4t8SUmJXC4Xhc9Qg4ODEZcxTU1Nqbm5WZK4VjVcXDgcDlsdAjDRs2fPdP78eR06dEi7d+9WcnKyJicn1dvbK5/Ppz179ujOnTus5TVAb2+vzpw5o3A4rFOnTik1NXXRPtnZ2XI4HBakw1K9f/9eHo9HkvT161e9fPlSGRkZysvLkyRlZmaqurrayoj4w5s3b1RVVaWEhAQ5nU7Z7XY9efJEo6OjunDhgs6dO2d1RESpu7tbfX19kqTh4WENDAzo4MGD858edDgcnEcNcP36dbW2tspms6mysjLiy9EcDoeys7MtSIeluHr1qjwejwoLC7Vz505t2bJFnz9/1osXLzQzM6Pi4mK53W6WTxiMNfPAMuXk5KiyslJer1dPnz6V3++XzWbT3r17VVFRoYqKCtlsNqtjIgo+n09z/2t2dnZG3KesrIyLUEOMjIyop6dn0baRkRFJ/z22TZlfOw4fPqy7d++qpaVFjx8/VjAYVFZWlmpqalRaWmp1PCxBX1/fomOvv79f/f39kqS0tDTOowaY+9TuzMyM2tvbI+6TlpZGmTdAcXGxAoGAPn78KK/Xq58/fyopKUl5eXk6ceKEjh8/rri4OKtj4h9wZx4AAAAAAMPwTAUAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGAYyjwAAAAAAIahzAMAAAAAYBjKPAAAAAAAhqHMAwAAAABgGMo8AAAAAACGocwDAAAAAGCY395TmexXNYyLAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6543,139 +6553,139 @@
        "    <tr>\n",
        "      <th rowspan=\"9\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.153</td>\n",
+       "      <td>-1.152</td>\n",
        "      <td>0.062</td>\n",
-       "      <td>-1.268</td>\n",
-       "      <td>-1.035</td>\n",
+       "      <td>-1.276</td>\n",
+       "      <td>-1.042</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.751</td>\n",
-       "      <td>0.470</td>\n",
-       "      <td>1.851</td>\n",
-       "      <td>3.623</td>\n",
+       "      <td>2.761</td>\n",
+       "      <td>0.458</td>\n",
+       "      <td>1.901</td>\n",
+       "      <td>3.608</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.236</td>\n",
-       "      <td>0.353</td>\n",
-       "      <td>-2.887</td>\n",
-       "      <td>-1.566</td>\n",
+       "      <td>-2.228</td>\n",
+       "      <td>0.348</td>\n",
+       "      <td>-2.905</td>\n",
+       "      <td>-1.589</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.310</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-0.067</td>\n",
-       "      <td>0.660</td>\n",
+       "      <td>0.308</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>-0.050</td>\n",
+       "      <td>0.672</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.507</td>\n",
-       "      <td>0.344</td>\n",
-       "      <td>-0.152</td>\n",
-       "      <td>1.126</td>\n",
+       "      <td>0.503</td>\n",
+       "      <td>0.339</td>\n",
+       "      <td>-0.134</td>\n",
+       "      <td>1.148</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.188</td>\n",
-       "      <td>0.188</td>\n",
-       "      <td>-1.553</td>\n",
-       "      <td>-0.842</td>\n",
+       "      <td>-1.186</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>-1.540</td>\n",
+       "      <td>-0.820</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.081</td>\n",
-       "      <td>0.328</td>\n",
-       "      <td>1.476</td>\n",
-       "      <td>2.702</td>\n",
+       "      <td>2.082</td>\n",
+       "      <td>0.324</td>\n",
+       "      <td>1.471</td>\n",
+       "      <td>2.695</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.618</td>\n",
-       "      <td>0.985</td>\n",
-       "      <td>-2.442</td>\n",
-       "      <td>1.223</td>\n",
+       "      <td>-0.640</td>\n",
+       "      <td>0.991</td>\n",
+       "      <td>-2.466</td>\n",
+       "      <td>1.248</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.256</td>\n",
-       "      <td>0.947</td>\n",
-       "      <td>-1.473</td>\n",
-       "      <td>2.057</td>\n",
+       "      <td>0.241</td>\n",
+       "      <td>0.909</td>\n",
+       "      <td>-1.482</td>\n",
+       "      <td>1.896</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"8\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.657</td>\n",
-       "      <td>0.469</td>\n",
-       "      <td>1.778</td>\n",
-       "      <td>3.521</td>\n",
+       "      <td>2.704</td>\n",
+       "      <td>0.474</td>\n",
+       "      <td>1.819</td>\n",
+       "      <td>3.600</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.276</td>\n",
-       "      <td>0.350</td>\n",
-       "      <td>-2.945</td>\n",
-       "      <td>-1.633</td>\n",
+       "      <td>-2.254</td>\n",
+       "      <td>0.357</td>\n",
+       "      <td>-2.912</td>\n",
+       "      <td>-1.565</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.328</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-0.044</td>\n",
-       "      <td>0.690</td>\n",
+       "      <td>0.317</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>-0.046</td>\n",
+       "      <td>0.683</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.523</td>\n",
-       "      <td>0.342</td>\n",
-       "      <td>-0.111</td>\n",
-       "      <td>1.176</td>\n",
+       "      <td>0.515</td>\n",
+       "      <td>0.350</td>\n",
+       "      <td>-0.134</td>\n",
+       "      <td>1.175</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.201</td>\n",
-       "      <td>0.185</td>\n",
-       "      <td>-1.547</td>\n",
-       "      <td>-0.849</td>\n",
+       "      <td>-1.194</td>\n",
+       "      <td>0.189</td>\n",
+       "      <td>-1.543</td>\n",
+       "      <td>-0.833</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.969</td>\n",
-       "      <td>0.302</td>\n",
-       "      <td>1.408</td>\n",
-       "      <td>2.530</td>\n",
+       "      <td>2.030</td>\n",
+       "      <td>0.313</td>\n",
+       "      <td>1.444</td>\n",
+       "      <td>2.615</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.176</td>\n",
-       "      <td>0.855</td>\n",
-       "      <td>-1.820</td>\n",
-       "      <td>1.385</td>\n",
+       "      <td>-0.442</td>\n",
+       "      <td>0.936</td>\n",
+       "      <td>-2.203</td>\n",
+       "      <td>1.325</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps[1]</th>\n",
-       "      <td>0.552</td>\n",
-       "      <td>0.921</td>\n",
-       "      <td>-1.162</td>\n",
-       "      <td>2.297</td>\n",
+       "      <td>0.451</td>\n",
+       "      <td>0.937</td>\n",
+       "      <td>-1.311</td>\n",
+       "      <td>2.210</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6684,23 +6694,23 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt             -1.153  0.062  -1.268   -1.035    1.0\n",
-       "              beta_[trt]             2.751  0.470   1.851    3.623    1.0\n",
-       "              beta_[age]            -2.236  0.353  -2.887   -1.566    1.0\n",
-       "              beta_[smokeintensity]  0.310  0.195  -0.067    0.660    1.0\n",
-       "              beta_[smokeyrs]        0.507  0.344  -0.152    1.126    1.0\n",
-       "              beta_[wt71]           -1.188  0.188  -1.553   -0.842    1.0\n",
-       "              alpha_outcome          2.081  0.328   1.476    2.702    1.0\n",
-       "              beta_ps[0]            -0.618  0.985  -2.442    1.223    1.0\n",
-       "              beta_ps[1]             0.256  0.947  -1.473    2.057    1.0\n",
-       "2-stage-model beta_[trt]             2.657  0.469   1.778    3.521    1.0\n",
-       "              beta_[age]            -2.276  0.350  -2.945   -1.633    1.0\n",
-       "              beta_[smokeintensity]  0.328  0.195  -0.044    0.690    1.0\n",
-       "              beta_[smokeyrs]        0.523  0.342  -0.111    1.176    1.0\n",
-       "              beta_[wt71]           -1.201  0.185  -1.547   -0.849    1.0\n",
-       "              alpha_outcome          1.969  0.302   1.408    2.530    1.0\n",
-       "              beta_ps[0]            -0.176  0.855  -1.820    1.385    1.0\n",
-       "              beta_ps[1]             0.552  0.921  -1.162    2.297    1.0"
+       "1-stage-model alpha_trt             -1.152  0.062  -1.276   -1.042    1.0\n",
+       "              beta_[trt]             2.761  0.458   1.901    3.608    1.0\n",
+       "              beta_[age]            -2.228  0.348  -2.905   -1.589    1.0\n",
+       "              beta_[smokeintensity]  0.308  0.193  -0.050    0.672    1.0\n",
+       "              beta_[smokeyrs]        0.503  0.339  -0.134    1.148    1.0\n",
+       "              beta_[wt71]           -1.186  0.193  -1.540   -0.820    1.0\n",
+       "              alpha_outcome          2.082  0.324   1.471    2.695    1.0\n",
+       "              beta_ps[0]            -0.640  0.991  -2.466    1.248    1.0\n",
+       "              beta_ps[1]             0.241  0.909  -1.482    1.896    1.0\n",
+       "2-stage-model beta_[trt]             2.704  0.474   1.819    3.600    1.0\n",
+       "              beta_[age]            -2.254  0.357  -2.912   -1.565    1.0\n",
+       "              beta_[smokeintensity]  0.317  0.193  -0.046    0.683    1.0\n",
+       "              beta_[smokeyrs]        0.515  0.350  -0.134    1.175    1.0\n",
+       "              beta_[wt71]           -1.194  0.189  -1.543   -0.833    1.0\n",
+       "              alpha_outcome          2.030  0.313   1.444    2.615    1.0\n",
+       "              beta_ps[0]            -0.442  0.936  -2.203    1.325    1.0\n",
+       "              beta_ps[1]             0.451  0.937  -1.311    2.210    1.0"
       ]
      },
      "execution_count": 32,
@@ -6729,7 +6739,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6771,7 +6781,7 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x2820aea50>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x2832b2900>"
       ]
      },
      "execution_count": 34,
@@ -6930,194 +6940,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
+       "      <td>0.024</td>\n",
+       "      <td>0.979</td>\n",
+       "      <td>-1.732</td>\n",
+       "      <td>1.937</td>\n",
+       "      <td>0.014</td>\n",
        "      <td>0.010</td>\n",
-       "      <td>0.994</td>\n",
-       "      <td>-1.863</td>\n",
-       "      <td>1.932</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.010</td>\n",
-       "      <td>5697.0</td>\n",
-       "      <td>5511.0</td>\n",
+       "      <td>4766.0</td>\n",
+       "      <td>5633.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-1.995</td>\n",
-       "      <td>0.350</td>\n",
-       "      <td>-2.646</td>\n",
-       "      <td>-1.339</td>\n",
+       "      <td>-2.005</td>\n",
+       "      <td>0.348</td>\n",
+       "      <td>-2.618</td>\n",
+       "      <td>-1.315</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5981.0</td>\n",
-       "      <td>5677.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5205.0</td>\n",
+       "      <td>6095.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>0.158</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>-0.210</td>\n",
-       "      <td>0.539</td>\n",
+       "      <td>0.159</td>\n",
+       "      <td>0.204</td>\n",
+       "      <td>-0.223</td>\n",
+       "      <td>0.543</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>10749.0</td>\n",
-       "      <td>5959.0</td>\n",
+       "      <td>10079.0</td>\n",
+       "      <td>6131.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-0.727</td>\n",
-       "      <td>0.221</td>\n",
-       "      <td>-1.134</td>\n",
-       "      <td>-0.304</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>-0.725</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>-1.125</td>\n",
+       "      <td>-0.305</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7062.0</td>\n",
-       "      <td>6228.0</td>\n",
+       "      <td>8236.0</td>\n",
+       "      <td>6838.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.210</td>\n",
-       "      <td>0.203</td>\n",
-       "      <td>-0.173</td>\n",
-       "      <td>0.582</td>\n",
+       "      <td>0.215</td>\n",
+       "      <td>0.204</td>\n",
+       "      <td>-0.174</td>\n",
+       "      <td>0.594</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8388.0</td>\n",
-       "      <td>5781.0</td>\n",
+       "      <td>8273.0</td>\n",
+       "      <td>5751.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.275</td>\n",
+       "      <td>0.276</td>\n",
        "      <td>0.351</td>\n",
-       "      <td>-0.395</td>\n",
-       "      <td>0.928</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>-0.380</td>\n",
+       "      <td>0.930</td>\n",
+       "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>6147.0</td>\n",
-       "      <td>6251.0</td>\n",
+       "      <td>5290.0</td>\n",
+       "      <td>6061.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.441</td>\n",
-       "      <td>0.202</td>\n",
-       "      <td>-1.821</td>\n",
-       "      <td>-1.070</td>\n",
+       "      <td>-1.449</td>\n",
+       "      <td>0.204</td>\n",
+       "      <td>-1.852</td>\n",
+       "      <td>-1.077</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>10182.0</td>\n",
-       "      <td>6603.0</td>\n",
+       "      <td>10481.0</td>\n",
+       "      <td>6604.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.525</td>\n",
-       "      <td>0.201</td>\n",
+       "      <td>-0.532</td>\n",
+       "      <td>0.200</td>\n",
        "      <td>-0.912</td>\n",
-       "      <td>-0.162</td>\n",
+       "      <td>-0.166</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8354.0</td>\n",
-       "      <td>6165.0</td>\n",
+       "      <td>8236.0</td>\n",
+       "      <td>5435.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
        "      <td>-0.109</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>-0.481</td>\n",
-       "      <td>0.268</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>-0.475</td>\n",
+       "      <td>0.274</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>10165.0</td>\n",
-       "      <td>6225.0</td>\n",
+       "      <td>8038.0</td>\n",
+       "      <td>5841.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.383</td>\n",
+       "      <td>0.382</td>\n",
        "      <td>0.238</td>\n",
-       "      <td>-0.069</td>\n",
-       "      <td>0.824</td>\n",
+       "      <td>-0.064</td>\n",
+       "      <td>0.825</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5974.0</td>\n",
-       "      <td>6178.0</td>\n",
+       "      <td>5509.0</td>\n",
+       "      <td>5720.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.358</td>\n",
-       "      <td>0.260</td>\n",
-       "      <td>-0.153</td>\n",
-       "      <td>0.835</td>\n",
+       "      <td>0.360</td>\n",
+       "      <td>0.257</td>\n",
+       "      <td>-0.110</td>\n",
+       "      <td>0.848</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>5114.0</td>\n",
-       "      <td>5948.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4918.0</td>\n",
+       "      <td>5491.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.358</td>\n",
-       "      <td>0.215</td>\n",
-       "      <td>-0.031</td>\n",
-       "      <td>0.775</td>\n",
+       "      <td>0.361</td>\n",
+       "      <td>0.212</td>\n",
+       "      <td>-0.047</td>\n",
+       "      <td>0.748</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>6690.0</td>\n",
+       "      <td>6438.0</td>\n",
+       "      <td>5787.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.018</td>\n",
-       "      <td>0.229</td>\n",
-       "      <td>-0.459</td>\n",
-       "      <td>0.406</td>\n",
+       "      <td>-0.031</td>\n",
+       "      <td>0.222</td>\n",
+       "      <td>-0.445</td>\n",
+       "      <td>0.387</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5847.0</td>\n",
-       "      <td>6195.0</td>\n",
+       "      <td>6171.0</td>\n",
+       "      <td>6474.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.174</td>\n",
-       "      <td>0.254</td>\n",
-       "      <td>-0.293</td>\n",
-       "      <td>0.665</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>0.175</td>\n",
+       "      <td>0.252</td>\n",
+       "      <td>-0.288</td>\n",
+       "      <td>0.658</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>6844.0</td>\n",
-       "      <td>6351.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6537.0</td>\n",
+       "      <td>5953.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.204</td>\n",
-       "      <td>0.261</td>\n",
-       "      <td>-0.294</td>\n",
-       "      <td>0.688</td>\n",
+       "      <td>0.199</td>\n",
+       "      <td>0.259</td>\n",
+       "      <td>-0.283</td>\n",
+       "      <td>0.685</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>6875.0</td>\n",
-       "      <td>6404.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6646.0</td>\n",
+       "      <td>6640.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.716</td>\n",
-       "      <td>0.468</td>\n",
-       "      <td>1.821</td>\n",
-       "      <td>3.588</td>\n",
+       "      <td>2.758</td>\n",
+       "      <td>0.458</td>\n",
+       "      <td>1.868</td>\n",
+       "      <td>3.585</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>8825.0</td>\n",
-       "      <td>6182.0</td>\n",
+       "      <td>8248.0</td>\n",
+       "      <td>6248.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -7126,40 +7136,40 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]       0.010  0.994  -1.863    1.932      0.013    0.010   \n",
-       "beta_[age]            -1.995  0.350  -2.646   -1.339      0.005    0.004   \n",
-       "beta_[race]            0.158  0.200  -0.210    0.539      0.002    0.002   \n",
-       "beta_[sex]            -0.727  0.221  -1.134   -0.304      0.003    0.002   \n",
-       "beta_[smokeintensity]  0.210  0.203  -0.173    0.582      0.002    0.002   \n",
-       "beta_[smokeyrs]        0.275  0.351  -0.395    0.928      0.004    0.004   \n",
-       "beta_[wt71]           -1.441  0.202  -1.821   -1.070      0.002    0.002   \n",
-       "beta_[active_1]       -0.525  0.201  -0.912   -0.162      0.002    0.002   \n",
-       "beta_[active_2]       -0.109  0.200  -0.481    0.268      0.002    0.002   \n",
-       "beta_[education_2]     0.383  0.238  -0.069    0.824      0.003    0.002   \n",
-       "beta_[education_3]     0.358  0.260  -0.153    0.835      0.004    0.002   \n",
-       "beta_[education_4]     0.358  0.215  -0.031    0.775      0.003    0.002   \n",
-       "beta_[education_5]    -0.018  0.229  -0.459    0.406      0.003    0.002   \n",
-       "beta_[exercise_1]      0.174  0.254  -0.293    0.665      0.003    0.003   \n",
-       "beta_[exercise_2]      0.204  0.261  -0.294    0.688      0.003    0.003   \n",
-       "beta_[trt]             2.716  0.468   1.821    3.588      0.005    0.005   \n",
+       "beta_[Intercept]       0.024  0.979  -1.732    1.937      0.014    0.010   \n",
+       "beta_[age]            -2.005  0.348  -2.618   -1.315      0.005    0.003   \n",
+       "beta_[race]            0.159  0.204  -0.223    0.543      0.002    0.002   \n",
+       "beta_[sex]            -0.725  0.216  -1.125   -0.305      0.002    0.002   \n",
+       "beta_[smokeintensity]  0.215  0.204  -0.174    0.594      0.002    0.002   \n",
+       "beta_[smokeyrs]        0.276  0.351  -0.380    0.930      0.005    0.004   \n",
+       "beta_[wt71]           -1.449  0.204  -1.852   -1.077      0.002    0.002   \n",
+       "beta_[active_1]       -0.532  0.200  -0.912   -0.166      0.002    0.002   \n",
+       "beta_[active_2]       -0.109  0.201  -0.475    0.274      0.002    0.002   \n",
+       "beta_[education_2]     0.382  0.238  -0.064    0.825      0.003    0.002   \n",
+       "beta_[education_3]     0.360  0.257  -0.110    0.848      0.004    0.003   \n",
+       "beta_[education_4]     0.361  0.212  -0.047    0.748      0.003    0.002   \n",
+       "beta_[education_5]    -0.031  0.222  -0.445    0.387      0.003    0.002   \n",
+       "beta_[exercise_1]      0.175  0.252  -0.288    0.658      0.003    0.002   \n",
+       "beta_[exercise_2]      0.199  0.259  -0.283    0.685      0.003    0.002   \n",
+       "beta_[trt]             2.758  0.458   1.868    3.585      0.005    0.005   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]         5697.0    5511.0    1.0  \n",
-       "beta_[age]               5981.0    5677.0    1.0  \n",
-       "beta_[race]             10749.0    5959.0    1.0  \n",
-       "beta_[sex]               7062.0    6228.0    1.0  \n",
-       "beta_[smokeintensity]    8388.0    5781.0    1.0  \n",
-       "beta_[smokeyrs]          6147.0    6251.0    1.0  \n",
-       "beta_[wt71]             10182.0    6603.0    1.0  \n",
-       "beta_[active_1]          8354.0    6165.0    1.0  \n",
-       "beta_[active_2]         10165.0    6225.0    1.0  \n",
-       "beta_[education_2]       5974.0    6178.0    1.0  \n",
-       "beta_[education_3]       5114.0    5948.0    1.0  \n",
-       "beta_[education_4]       7032.0    6690.0    1.0  \n",
-       "beta_[education_5]       5847.0    6195.0    1.0  \n",
-       "beta_[exercise_1]        6844.0    6351.0    1.0  \n",
-       "beta_[exercise_2]        6875.0    6404.0    1.0  \n",
-       "beta_[trt]               8825.0    6182.0    1.0  "
+       "beta_[Intercept]         4766.0    5633.0    1.0  \n",
+       "beta_[age]               5205.0    6095.0    1.0  \n",
+       "beta_[race]             10079.0    6131.0    1.0  \n",
+       "beta_[sex]               8236.0    6838.0    1.0  \n",
+       "beta_[smokeintensity]    8273.0    5751.0    1.0  \n",
+       "beta_[smokeyrs]          5290.0    6061.0    1.0  \n",
+       "beta_[wt71]             10481.0    6604.0    1.0  \n",
+       "beta_[active_1]          8236.0    5435.0    1.0  \n",
+       "beta_[active_2]          8038.0    5841.0    1.0  \n",
+       "beta_[education_2]       5509.0    5720.0    1.0  \n",
+       "beta_[education_3]       4918.0    5491.0    1.0  \n",
+       "beta_[education_4]       6438.0    5787.0    1.0  \n",
+       "beta_[education_5]       6171.0    6474.0    1.0  \n",
+       "beta_[exercise_1]        6537.0    5953.0    1.0  \n",
+       "beta_[exercise_2]        6646.0    6640.0    1.0  \n",
+       "beta_[trt]               8248.0    6248.0    1.0  "
       ]
      },
      "execution_count": 37,
@@ -7171,6 +7181,35 @@
     "az.summary(idata_outcome_cp, var_names=[\"beta_\"])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = az.plot_posterior(\n",
+    "    idata_outcome_cp,\n",
+    "    var_names=[\"beta_\"],\n",
+    "    coords={\"outcome_coeffs\": [\"trt\"]},\n",
+    "    figsize=(10, 5),\n",
+    "    ref_val=3.5,\n",
+    ")\n",
+    "ax.set_title(\n",
+    "    \"Treatment Effect Estimated using 2-stage \\n Regression Adjustment Approach with reduced covariates\"\n",
+    ");"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -7201,28 +7240,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "The watermark extension is already loaded. To reload it, use:\n",
+      "  %reload_ext watermark\n",
       "Last updated: Sat Jul 12 2025\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.13.5\n",
       "IPython version      : 9.4.0\n",
       "\n",
-      "theano: not installed\n",
-      "xarray: 2025.7.0\n",
+      "pytensor: 2.31.7\n",
+      "xarray  : 2025.7.0\n",
       "\n",
       "pandas    : 2.3.1\n",
+      "matplotlib: 3.10.3\n",
       "arviz     : 0.21.0\n",
-      "pymc      : 5.23.0\n",
       "numpy     : 2.3.1\n",
-      "matplotlib: 3.10.3\n",
       "patsy     : 1.0.1\n",
+      "pymc      : 5.23.0\n",
       "causalpy  : 0.4.2\n",
       "\n",
       "Watermark: 2.5.0\n",
@@ -7232,13 +7273,8 @@
    ],
    "source": [
     "%load_ext watermark\n",
-    "%watermark -n -u -v -iv -w -p theano,xarray"
+    "%watermark -n -u -v -iv -w -p pytensor,xarray"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
   }
  ],
  "metadata": {

From 0c806b8e7467995bf166443a902f9f4b98c27d2d Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sat, 12 Jul 2025 18:44:31 +0100
Subject: [PATCH 20/31] remove beta_ps interaction

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/pymc_models.py                     |    9 +-
 docs/source/notebooks/inv_prop_latent.ipynb | 1565 +++++++++----------
 2 files changed, 734 insertions(+), 840 deletions(-)

diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index 57779d1a..28e18545 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -613,7 +613,7 @@ class initialisation.
                     dims="outcome_coeffs",
                 )
 
-            beta_ps = pm.Normal("beta_ps", 0, 1, size=2)
+            beta_ps = pm.Normal("beta_ps", 0, 1)
 
             chosen = np.random.choice(range(propensity_scores.shape[1]))
             p = propensity_scores[:, chosen].values
@@ -622,12 +622,7 @@ class initialisation.
                 "a_outcome", priors["a_outcome"][0], priors["a_outcome"][1]
             )
 
-            mu_outcome = (
-                alpha_outcome
-                + pm.math.dot(X_data_outcome, beta)
-                + beta_ps[0] * p
-                + beta_ps[1] * (p * self.t.flatten())
-            )
+            mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + beta_ps * p
 
             if spline_component:
                 beta_ps_spline = pm.Normal("beta_ps_spline", 0, 1, size=34)
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 6d7aa3b3..a0765d1d 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -25,11 +25,11 @@
    "source": [
     "## The Pardox of Propensity Scores in Bayesian Inference\n",
     "\n",
-    "In causal inference the role of the propensity score is often seen to be central. We've seen how the propensity score can be used with the `cp.InversePropensityWeighting` class to correct for a species of selection bias by re-weighting our outcome variable and calculating a causal contrast on the re-weighted scale. Additionally we can use the propensity score to visualise and diagnose problems of overlap or covariate balancing across treatment and control groups. \n",
+    "In causal inference the role of the propensity score is often seen to be central. For instance, we've seen how the propensity score can be used with the `cp.InversePropensityWeighting` class to correct for a species of selection bias by re-weighting our outcome variable and calculating a causal contrast on the re-weighted scale. Additionally we can use the propensity score to visualise and diagnose problems of overlap or covariate balancing across treatment and control groups. \n",
     "\n",
-    "These properties give the propensity score a large role to play in _design based_ approaches to causal inference. The focus is on assessing aspects of the treatment allocation to ensure we have identifiability assurances for estimands of interest. \n",
+    "These properties give the propensity score a large role to play in _design based_ approaches to causal inference. The focus there is on assessing aspects of the treatment allocation to ensure we have identifiability assurances for estimands of interest. What then is their role in model-based or analysis focused Bayesian methods?\n",
     "\n",
-    "When we use `cp.InversePropensityWeighting` to apply various re-weighting techniques we perform a two-step  manoeuvre: (1) we estimate the propensity score and (2) apply the inverse-weighting of the score to transform our outcome variable and assess causal contrasts. But being good Bayesians, we might wonder why go to all this trouble? Can we not simple estimate a full-bayesian model of treatment and outcome simultaneously?\n",
+    "When we use `cp.InversePropensityWeighting` to apply various re-weighting techniques we perform a two-step  manoeuvre: 1. we estimate the propensity score and 2. apply the inverse-weighting of the score to transform our outcome variable and assess causal contrasts. But being good Bayesians, we might wonder why go to all this trouble? Can we not simple estimate a full-bayesian model of treatment and outcome simultaneously?\n",
     "\n",
     "In this notebook we'll show why we should be careful attempting to model the joint-distribution of the propensity score and the outcome variable, but still make good use of the propensity score. \n",
     "\n",
@@ -45,7 +45,9 @@
     "\n",
     "and our outcome model\n",
     "\n",
-    "$$ P(Y | T, X) = \\dfrac{P(Y, T, X)}{P(T, X)}\\cdot P(T, X) = \\dfrac{P(Y | T, X) \\cdot P(T | X) \\cdot P(X)}{P(T | X) \\cdot P(X)} P(T, X) = \\dfrac{P(Y | T, X) \\cdot e(X)\\cdot P(X)}{e(X) \\cdot P(X)} \\cdot P(T, X) $$\n",
+    "$$ P(Y | T, X) = \\dfrac{P(Y, T, X)}{P(T, X)}\\cdot P(T, X) = \\dfrac{P(Y | T, X) \\cdot P(T | X) \\cdot P(X)}{P(T | X) \\cdot P(X)} P(T, X) $$\n",
+    "\n",
+    "$$ = \\dfrac{P(Y | T, X) \\cdot e(X)\\cdot P(X)}{e(X) \\cdot P(X)} \\cdot P(T, X)$$\n",
     "\n",
     "but now it's clearer to see how the propensity score just cancels out. When we're already conditioning on $X, T$ the information in the propensity score is technically redundant in the Bayesian setting. Add the assumption of unconfoundedness or ignorability used in causal inference. We are arguing that there is no umeasured confounding so conditioning on $X, T$ should be sufficient to identify the causal contrast of interest. "
    ]
@@ -56,7 +58,7 @@
    "source": [
     "### Structure of the Presentation\n",
     "\n",
-    "We will first consider a simple simulated data set where we know the true values of the data generating process. We'll first demonstrate how to fit the joint distribution of the propensity score and the outcome in a single joint distribution using `PyMC`. Then we'll show how to fit a two-stage version of the same model. In both models we assume independent priors between the regression for the treatment and the regression for the outcome variable. Nevertheless, we will show that the joint model exhibits a bias due to feedback when there is non-measured confounding i.e. when there is misspecified outcome model. \n",
+    "We will first consider a simple simulated data set where we know the true values of the data generating process and then we'll demonstrate how to fit the joint distribution of the propensity score and the outcome in a single joint distribution using `PyMC`. To contrast this we'll show how to fit a two-stage version of the same model. In both models we assume independent priors between the regression for the treatment and the regression for the outcome variable. Nevertheless, we will show that the joint model exhibits a bias due to feedback when there is non-measured confounding i.e. when there is misspecified outcome model. \n",
     "\n",
     "- Model Specification\n",
     "    - Joint Model\n",
@@ -112,43 +114,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>-2.068881</td>\n",
-       "      <td>-0.350503</td>\n",
-       "      <td>-0.621765</td>\n",
+       "      <td>1.266896</td>\n",
+       "      <td>-0.509336</td>\n",
+       "      <td>-1.621137</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.235686</td>\n",
+       "      <td>7.045799</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-1.148622</td>\n",
-       "      <td>-0.940770</td>\n",
-       "      <td>0.558237</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-3.428762</td>\n",
+       "      <td>0.650639</td>\n",
+       "      <td>1.303119</td>\n",
+       "      <td>0.657024</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.609648</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>-0.879276</td>\n",
-       "      <td>-1.126818</td>\n",
-       "      <td>-0.337692</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.719894</td>\n",
+       "      <td>-1.739101</td>\n",
+       "      <td>0.490342</td>\n",
+       "      <td>1.099560</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-4.544026</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>0.025526</td>\n",
-       "      <td>0.133489</td>\n",
-       "      <td>-1.485594</td>\n",
+       "      <td>-1.563690</td>\n",
+       "      <td>-0.709081</td>\n",
+       "      <td>-2.128676</td>\n",
        "      <td>0</td>\n",
-       "      <td>5.725299</td>\n",
+       "      <td>4.726809</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>0.687656</td>\n",
-       "      <td>0.494313</td>\n",
-       "      <td>1.816960</td>\n",
+       "      <td>-1.195799</td>\n",
+       "      <td>0.520384</td>\n",
+       "      <td>0.296458</td>\n",
        "      <td>1</td>\n",
-       "      <td>-1.476772</td>\n",
+       "      <td>-1.018791</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -156,11 +158,11 @@
       ],
       "text/plain": [
        "         x1        x2        x3  trt   outcome\n",
-       "0 -2.068881 -0.350503 -0.621765    0  0.235686\n",
-       "1 -1.148622 -0.940770  0.558237    0 -3.428762\n",
-       "2 -0.879276 -1.126818 -0.337692    0  0.719894\n",
-       "3  0.025526  0.133489 -1.485594    0  5.725299\n",
-       "4  0.687656  0.494313  1.816960    1 -1.476772"
+       "0  1.266896 -0.509336 -1.621137    0  7.045799\n",
+       "1  0.650639  1.303119  0.657024    1  1.609648\n",
+       "2 -1.739101  0.490342  1.099560    1 -4.544026\n",
+       "3 -1.563690 -0.709081 -2.128676    0  4.726809\n",
+       "4 -1.195799  0.520384  0.296458    1 -1.018791"
       ]
      },
      "execution_count": 2,
@@ -206,7 +208,7 @@
    "source": [
     "### Specifying the Joint Model\n",
     "\n",
-    "Here we will define a model context that fits our data simultaneously for treatment and outcome. We allow that the propensity score estimated in the treatment model is used in a non-parametric spline to flexibly inform the outcome variable. Note that we will allow for a richer model specification of the treatment than we do for the outcome model. This is to try and push the models to use the propensity score information to adjust for unmeasured confounding in the outcome model. "
+    "No we define a model context that fits our data simultaneously for treatment and outcome. We allow that the propensity score estimated in the treatment model is used in a non-parametric spline to flexibly inform the outcome variable. Note that we will allow for a richer model specification of the treatment than we do for the outcome model. This is to try and push the models to use the propensity score information to adjust for unmeasured confounding in the outcome model. "
    ]
   },
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        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
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        "<title>X_outcome</title>\n",
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        "<!-- like -->\n",
-       "<g id=\"node5\" class=\"node\">\n",
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@@ -304,10 +301,10 @@
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        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge13\" class=\"edge\">\n",
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        "<!-- T -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
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+       "<!-- p&#45;&gt;t_pred -->\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
+       "<title>p&#45;&gt;t_pred</title>\n",
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+       "<!-- p&#45;&gt;like -->\n",
+       "<g id=\"edge10\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
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+       "</g>\n",
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+       "<g id=\"node7\" class=\"node\">\n",
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+       "<!-- sigma -->\n",
+       "<g id=\"node12\" class=\"node\">\n",
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+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"267\" y=\"-387.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
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        "<title>alpha_trt&#45;&gt;p</title>\n",
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-       "<!-- sigma&#45;&gt;like -->\n",
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        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge12\" class=\"edge\">\n",
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       ],
       "text/plain": [
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     "            )\n",
     "\n",
-    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1, size=2)\n",
+    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1)\n",
     "\n",
     "        alpha_trt = pm.Normal(\n",
     "            \"alpha_trt\", priors[\"alpha_trt\"][0], priors[\"alpha_trt\"][1]\n",
@@ -556,12 +553,7 @@
     "        alpha_outcome = pm.Normal(\n",
     "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
     "        )\n",
-    "        mu_outcome = (\n",
-    "            alpha_outcome\n",
-    "            + pm.math.dot(X_data_outcome, beta)\n",
-    "            + beta_ps[0] * p\n",
-    "            + beta_ps[1] * (p * T_data)\n",
-    "        )\n",
+    "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + beta_ps * p\n",
     "        sigma = pm.HalfNormal(\"sigma\", priors[\"sigma\"])\n",
     "\n",
     "        if normal_outcome:\n",
@@ -646,7 +638,7 @@
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        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge3\" class=\"edge\">\n",
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      "execution_count": 4,
@@ -817,7 +809,7 @@
     "                \"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\"\n",
     "            )\n",
     "\n",
-    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1, size=2)\n",
+    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1)\n",
     "\n",
     "        chosen = np.random.choice(range(propensity_scores.shape[1]))\n",
     "        p = propensity_scores[:, chosen].values\n",
@@ -825,12 +817,7 @@
     "        alpha_outcome = pm.Normal(\n",
     "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
     "        )\n",
-    "        mu_outcome = (\n",
-    "            alpha_outcome\n",
-    "            + pm.math.dot(X_data_outcome, beta)\n",
-    "            + beta_ps[0] * p\n",
-    "            + beta_ps[1] * (p * T_data)\n",
-    "        )\n",
+    "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + beta_ps * p\n",
     "\n",
     "        if spline_component:\n",
     "            beta_ps_spline = pm.Normal(\"beta_ps_spline\", 0, 1, size=34)\n",
@@ -923,7 +910,7 @@
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@@ -934,14 +921,6 @@
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-     "output_type": "stream",
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-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
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@@ -956,7 +935,7 @@
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-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 85 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 70 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
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-      "  return 0.5 * np.dot(x, v_out)\n"
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-     "output_type": "stream",
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-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
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",
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LFk2YMEGenp4KCAiwC+eZPY47+3zj8OHDevXVV20XrcqUKaO4uDjt2rVLO3fu1Pr16zV27FhbXwI1a9bUmTNndObMmRTPpVsvJki3fh8HDRpkewSlSJEiKlasmE6cOKEZM2ZoyZIlmjFjhgICAhzWx+uvv67Vq1erdOnSKleunOLi4u5Qg85TpUoVeXl56fjx47a6t0re38LLL7+sHTt2yN3dXWXKlFHu3Ll17tw5bd26VaGhoXr++ecJ89mRAeCeGDp0qGGxWIy+fftmaP6VK1caFovFqFSpkrFo0SLb8KtXrxqvv/66YbFYjGbNmhk3btywm69Zs2aGxWIxKleubEyZMsVITEw0DMMwLl++bDz77LOGxWIxevXqZVSrVs34448/bPOdPn3aaNGihWGxWIyZM2faLXPTpk22stSsWdP4999/beMiIiKMdu3aGRaLxejfv3+K7Vi4cKFx8uRJu2Hx8fHGb7/9ZlSqVMlo0aKFrYxW3333nWGxWIygoCDjueeeM86cOWMbd/PmTcMwDCM8PNy2D25nsVgMi8ViVKtWzZg/f77dvuvRo4dhsViMt956y26exMRE48knnzQsFovRs2dPIzo62jZuyZIlRpUqVYzKlSsbFovFCA8PT7HO1Lz33nuGxWIx3nvvPbvhZ8+eNWrWrGlYLBZj+PDhRmxsrK0cP/zwg60O9+/f73DffPfdd3bD58+fb5unTZs2xtGjR23jtm/fblvXmjVr7Oaz1u2LL76Y5m1K7tSpU8bixYuNa9eu2Q0/d+6c0b9/f8NisRjjxo1LMV/yz+mECROMhIQEwzAMIy4uzhg4cKBhsViMzp07p5jP+tlv3769cfr0advwjRs3GjVq1LDV0aZNmzK0PbebNm2aYbFYjDp16hjx8fFpnu+bb74xLBaLERgYaHzyySfGzp07bdt4J3f6XFtldJ/36tXLsFgsRocOHey+U1u2bDFq166d6r6bPXu2YbFYjObNm9uNS0hIMMaPH29YLBbj0UcftX0308Ja/8m/n8m3o0qVKobFYjGWLl1qGMb/7ZegoCCjevXqxvLly23TW4+B+/btMypVqmRYLBZj0qRJtuNKbGys8emnnxoWi8WoVauWERkZabe+F1980XZ8GzBggBETE2MYhmEkJSUZ06dPt427/bu4Zs0aIzAw0KhXr56tnFbW41uNGjVSrC8jx6dhw4bZjiO31/uRI0eMX3/91W7Ynb7X1vWn5vnnnzcsFouxbNmyFOPi4uKMunXrGhaLxTh06FCqy0huw4YNtnX26NHDWL16tXH9+vU0zdu3b1/DYrEYLVu2NHbs2GE37vjx48akSZPsho0cOdKwWCxGo0aNjD179thN+/jjjxsWi8V488037eZJy2fr7NmzRt26dY3AwEDjxx9/tB2vDcMwwsLCjMaNGxsWi8VYuXJlmrbLMP7vWJ7asbdPnz6GxWIxevfubRiGYVy5csVYsGCBcenSJbvpLl++bPt8vP/++ymWY/18BwUFGR9//LHdvrdunzOO484634iJiTFatmxpWCwW47PPPjOuXr1qG3f48GGjbdu2hsViMX755ReH+/P238bkRo0aZVgsFuOZZ54x9u3bZ7cfrMeIDh062M1j/S4FBQUZDRo0MLZt22Ybl9ZjnrUO7lQ2K+s5w+3HRutv/O3nElZLliwxLBaL0a5dO7vju2EYxsWLF41p06al+XsHc+EBXeAeiYyMlKQMN8e23pHv2rWr2rVrZxueJ08eff3118qfP78iIiIUEhLicP5HH31UL7/8su1Otq+vr61Z9urVq9W5c2e7194UL15cPXv2lHSrOa0jCQkJ6t+/v+rXr28bVqJECX355ZeSpGXLltmaVFo988wztl5arTw9PdW5c2e1adNG4eHh2rFjh8P1eXh4aOzYsSpWrJhtWHrujnbq1Mmuc608efJo8ODBDrdxw4YNOnTokPz8/PTNN98oX758tnGtW7dWr169FB8fn+Z1382sWbN07do1BQUF6cMPP7TdAXN3d1efPn3UpEkTxcfH291JT4uEhASNHDnS7s5C9erV1blzZ0nS2rVrnbYN0q07ZU888USKTsoKFy6sr776Sl5eXvrzzz9Tnb9Ro0bq1auX7Q6fl5eXPvjgA3l7e2vnzp26fPmybdoTJ05o+fLlkqQvv/zS7u5LgwYN9MYbbzi1js6dO6fx48dLknr06CFPz7Q3ZnvttddUuXJlGYahX3/9VZ07d1atWrXUpUsXjRo1Srt3785wuTKyz48eParVq1fLy8tLY8aMsftO1a5dW4MHD3a47+Li4hQcHCwPDw+NGzfOrqWEh4eH/ve//6l169Y6e/as7Y0dmXHx4kW9++67iouLU758+dSwYUO78YmJiXrjjTfUokUL2zDr3cLJkycrISFBLVq0UM+ePW3HPm9vb33yySeqUKGCrl69qtmzZztcd758+TRixAjbHUs3Nzd169ZNjz32mBISEjR16lS76ceMGSPDMPT555+nuPveuXNnde/eXTExMZo7d67D9aXn+GR93OCll15KUe/lypXTc88953AdGdGxY0dJsmvKa7V69WpFR0erSpUqaX51YMOGDW3l+/fff9WrVy/Vrl1b7dq10yeffKJVq1YpMTExxXy7du3S8uXL5e3trUmTJqlatWp248uUKWP7zZKka9eu2ep2yJAhqly5st201t+pJUuW2N1xt7rTZ2vq1KmKjo5Wjx491Lt3b7sWCzVr1tTQoUMl3WqpkVmGYWjatGm25ttPPPGEJClv3rxq3759iseCfH199fHHH6t48eL6+++/lZCQ4HC5FSpU0Keffmr3mIF1+zJ7HHfm+cb8+fN18uRJtWrVSh999JFdJ6Hly5fXqFGj5ObmluL7eDdRUVGaNm2a8uTJox9++MHuEagcOXLo448/1sMPP6w9e/Zo69atKeZPTEzUp59+qho1atiGped8RLr1CEBgYGCK/5zx1g7r4xgdO3a0O75LUoECBdSjR48Uj5gge6CZPXCPxMTESFKGDp4xMTG2gNutW7cU43PmzKlnn33W9vxkp06dUkzjaFjyHy9H463PaVqf972dl5eXw/kqVqyoWrVqKSwsTOvXr1eXLl3sxv/333/666+/dOjQIV2+fNl2snHmzBlJt5pfOmqi27Bhw0y9es5RWQMDA+Xj46OrV6/adWi2ceNGSdJjjz2W4pUwktShQ4cU7wTOjA0bNkhSqk2wu3fvrjVr1timS6ugoCCHj15Yh6VWt5mRlJSklStXasOGDQoPD9f169dtTUTd3Nx0/Phx3bhxw+F3wXqRITnru6ePHTum8PBw24WV9evXyzAM1alTx2GQ6NSpk0aNGuWUQB8XF6e33npL0dHRCgoK0muvvZau+fPkyaPZs2dr1qxZmjt3rv777z/duHFD27Zt07Zt2zRp0iS1aNFCI0eOlK+vb7rLl959bv18161bN8XFNUlq27athg4dqps3b9oN37Fjh86fP6+HH3441X4mmjdvrqVLl2rLli165pln0rUdEyZMsIVd66vprE2xP/vsM4e9/T/99NMOl2X9rjg6ZlqD+SeffKINGzbozTffTDFNp06dHJ6cd+3aVcuWLdP69ettwyIiIrR3714VLFjQLvwl17x5c02ZMkVbtmxxOD49xyfrhaulS5cqMDDwnr6q7IknntDnn3+utWvXKioqyu45bGvAT+9rLIcNG6ZGjRppxowZCgsLU0JCgg4ePKiDBw9qzpw5qlChgkaPHm337POKFSskSa1atbJrKp2asLAw3bhxQyVKlHBYJ1WrVlWNGjW0fft2bdiwwWE/D6l9tpYtWybJ8fFKkho3biwvLy9t375dCQkJ6brwt2/fPttvZkJCgk6ePKno6GhJty4k3/6u+X///VerVq3S8ePHFRMTo6SkJEm3vj83btzQiRMnHPYNcbdOdjNzHHfm+cbd9nXFihXl7++v8PBwnT17NkVwTc2aNWsUFxen5s2bO5zH3d1dTZs21e7duxUaGpqiH6O8efOm+l1Pq9ReTZfWx9ruxLpNa9asUefOnQnuDxDCPHCPWK9w37hxI93znjx5UklJSfL29nZ44i3dukIt/d8dm9s5OlFJflLmaLz1xNF6IeJ2xYoVS/VVWuXKlVNYWFiK8kyYMEFjxoyxnXA4kvzua3IPPfRQqvOkRWqdchUoUEBnzpzR9evXbdtsLXdqrwb09/dXnjx5dO3atUyVycq6Pms93s4aVi9cuKBr166l+RVmqX1erHWfWt1m1JUrV9SrVy9t3779rtM5OrlIrY4KFiyoY8eO6fr167Zh1n2W2uciT548Klq0aKYvWBiGocGDByssLEyFCxdWcHCww2eH78bHx0cvv/yyXn75ZUVGRmrXrl3aunWr7RnnFStWqF+/frZn0dMqI/v8bp9vHx8flSlTxq6zL0k6dOiQpFvh9faLdFZXr16V9H+tkdLj+PHjtrJ5eXmpcOHCql27tl555RWHnQfmz5/fYSdfV65cUVRUlCQ5DDLS3Y+ZqX2urMOTfxet+yU2NjbV/WLtbyG1/ZKe49MLL7yg33//XePHj9eiRYvUqFEj1a5dW/Xq1cvUBU9HcufOrccff1wLFixQSEiI7W0MUVFRWrt2rby8vDLUu/pjjz2mxx57TNeuXdOuXbu0Y8cOrVq1Srt27dLhw4f18ssvKyQkxFa/R48elaQUd+RTc+zYMUm36iu1ix3ly5fX9u3bHX4GUvtsxcTE2DofS61TQKvY2FhFR0en+ty6I9euXbP1CeDu7i5fX1/VrVtXzzzzjDp06GDblri4OA0YMMDWOik11gsBt0vteyHdm+N4Rs83rN+tsWPH6scff3RYjkuXLkm69d1Ka5i3Lnfnzp2pfmcvXrxoW+7typQpk6Y+Iu4kLa+my6iWLVvK399f69evV+PGjdW4cWPVrl1bdevWTXMrGpgTYR64R6wnWBkJFtYftwIFCqR6UmI9WUgtnDnqqCb5shz9IN/tbs/tnds5Gpe8PFu2bNE333wjDw8PDRw4UM2bN1eJEiWUM2dOubm56dtvv9WPP/6YarPA1HrkTqvU5rfenTCSdTBkvehyp3da586d22lh3hpSU9unyYfHxMSkOczfbZudbcSIEdq+fbsCAgL09ttvq1q1asqfP78t/D766KOKjIxM9W55ancPHNWRdZ85OuG2KlSoUKbD/GeffaaQkBD5+flpypQpTnlzQdGiRdWqVSu1atVK77zzjkaPHq0pU6Zo8+bNCgsLU61atdK8rIzs87R+vm9nDepRUVG2sJya5J0Fpmdb0nOXN7XPd/KLPql9p+52zEzPd9G6X5IHsdSktl/Sc3wKCgrSL7/8onHjxmnTpk2aM2eO5syZIzc3Nz3yyCP64IMP7hjW0qtjx45asGCBfv/9d1uYDwkJUXx8vFq3bn3HN0DcTZ48edSwYUM1bNhQffv21ZIlSzRgwABdvHhRc+bM0f/+9z9Jsh1r09pyJS3HB0e/U1ap1UfyY/7d6lpSitYtd5O8N/I7mThxopYvX67ChQtr0KBBqlOnjgoXLmz73nfp0kXbtm1L9ff0TndqM3scd+b5hnV/7927N9XyWqVnX1u/s9aO8u7E0Xc2s+cj91quXLk0a9YsjR07VkuXLtXixYu1ePFiSbcuYg0aNEjNmjVzcSlxLxDmgXukRo0amjlzZoaa3VlPqqOiomQYhsMfvQsXLthNmxXudDJvHZe8PNZn7F599VWHrw07e/ask0uYcdaTjeSh4HbOvKudK1cuXb16VRcvXnR418J6h0DK2jpOj4SEBFuvwOPHj09xZzMhIcH2OXUG68nUnT6HyfdbRnz77beaOXOmcuXKpUmTJtn18O8snp6eeuedd/Tnn3/q/Pnz2r17d5rDfEb3ufXzfafP8J0CzlNPPaVRo0alqYyukPxE++LFiypSpEiKae52zEztc5V8uHVe6/pq1qyZ6jP4zla9enVNnjxZMTEx2rZtmzZv3qyQkBCtX7/edlc7I49sOFK7dm2VLVtWe/fu1aFDh2SxWGy92Ke3if3dPP744/r777+1ZMkS7dq1yzbcuq+vXLmSpuWk5/iQnmPq7b2+u6o3cOvv6YgRI9S4ceMU4zP6e5rVx/G7yZUrl65cuaJly5bZ9drujOVKUp8+fTRgwACnLfd+UqxYMY0YMUKfffaZ9u7dq82bN2vp0qXas2ePXn/9dc2ePTvNLV1gHnSAB9wjTZo0Ua5cuXTx4kUtXbo0XfOWLl1a7u7uiouLS9GhnNWRI0ckKU3PEjrLmTNnUg0D1le3JS+PtWli8g5jkjtw4IBzC5gJ1nLf3szY6vTp0067K598fdZ6vN3hw4cl3bqbmNa78hmRmWdvo6KidP36dfn5+Tlsonz48GGHHVtllHWfWZvT3i4mJiZTF4h++ukn/fjjj/Lx8dGPP/6oqlWrZnhZd+Pu7q4SJUpIkt3rje5WHxnd59YOEa1NTW8XFxdn60ApOWvTdOvn8X7l6+truyOb2msk73bMtDbrvp11ecm/i9b9Yn2PeVbKnTu3GjdurEGDBunvv/9W6dKlFRkZ6fTOLZN3hHfo0CHt3btXhQsXdhgkM8v6eFDyO7/WfXy31yZaWT/j//33X6qvNszI72bevHltF4dSO15nhTv9nl66dClDj7lIWX8cvxtrC5P0HnPuduw0y7EsNen5rfb09FS1atXUq1cvzZ8/X23btlViYqLmz59/D0sIVyHMA/eIr6+vrSOmL7744q5Nf8PCwmxN+HLnzm37wXbU/O7mzZu2TqMaNWrkzGLfUXx8vObNm5di+KFDh7R161Zbk08ra2dSju6Wrl+//r4K89ZyL1u2zGFoX7BggVPXZ623mTNnOhxvrfd7Xb/W5pHpbRqafN5r1645nP+nn37KXOFuY90XW7ZscXhSPXfu3Ax3fjdnzhx9/fXX8vLy0tixY1O83z697tZC4MqVKw6Dxd3qI6P73Nor/ObNm22hILnFixc7XF7t2rWVP39+HThwQJs3b77DFrme9fPh6JhpGIZ++eUXu+luN2/ePIfvjbbeeU9+bCtbtqwsFouio6Ntd6xdIWfOnLbWI+fOnUvTPGn9zj/zzDPy8PDQn3/+afu9Seu75ZNLS2sZ67Payb8L1vfHL1++3GHv87erVauWcubMqTNnztg6z0tu9+7d2r59e4rfqbSwvq3g559/Ttd8zmStN0f7c+rUqRkO3Fl9HL8b676ePn16qhdlHLGeb6T2uW7SpIm8vLy0du3aVPvNuJ/dbfvuxHo3Pq3HCJgLYR64h/r166caNWrowoULev755/X777+neBbr2LFjGjp0qLp3727XPNDae/bs2bPtXglz7do1vfvuu4qKipK/v3+GOiLKKE9PT40bN06hoaG2YWfPntV7770n6daPcPIm49amwxMnTrRrYbBr1y598MEH6X6ty73UsGFDBQYG6tKlSxo0aJBd087ly5dr4sSJTm1e2aVLF+XJk0f79+/XF198YQsRSUlJmjRpku01Yi+//LLT1umI9XnwI0eO3PWZ6Nv5+vqqQoUKSkhIsNuGxMRETZw4UYsXL3bqPitTpoxatGghwzD03nvv2d2F37x5s4KDgzO0vr///luffvqp3N3d9eWXXzrlucLXXntNAwcO1L///pviAsP+/fvVt29fxcTEqHDhwnbhskCBAsqdO7cuXrzo8A5zRvd5QECAmjZtqvj4eL311lt2d/HCwsI0YsQIh/P5+PjojTfekCS9+eab+ueff1KcYB86dEhff/21wsLC0rGHnO+VV16Rp6enVqxYoSlTptjumMfFxenzzz/XoUOHlDdv3lQ7v4qOjtYHH3xge9TGMAzNnDlTy5Ytk4eHR4rv4qBBg+Tm5qZhw4Zp7ty5KZ5VDg8P1w8//GDrnTszhgwZosWLF6foUHXLli36999/JSnVtw3cznoXPPlx3JEiRYqocePGOn/+vGbNmiUpY03sf/zxR3Xt2lUhISEpLpSeO3dOn3zyie1icPK3IVSpUkWtWrVSbGysXnvtNbsm+NKtV3FNnjzZ9neePHlsdTts2DDt27fPNu7kyZN6//33Jd3qrT+1zgdT89prr8nPz08LFy7UiBEjUjT9j46O1rx582yvsrwXrL+nI0eOtLWQMwxDv//+u6ZMmZLh39OsPo7fzXPPPadSpUpp8+bNGjRoUIoAGhMTo8WLF2vEiBF2w62fa+ujjbcrWrSoevToofj4eL366qspLk4ahqFdu3ZpyJAhqbaIdCXr9u3evdthx8rTpk3TtGnTUjwScfr0adtNmLQeI2AuPDMP3EPe3t6aPHmyBg8erKVLl+q9997TkCFDVLp0afn4+OjcuXO2k+pixYrZnWA0a9ZMvXr10sSJEzVo0CCNHj1aBQsW1NGjR3X9+nXly5dPY8aMcdjxzL1So0YN5c6dW926dVPZsmWVK1cuHTp0SAkJCSpVqlSKnn6fe+45zZ49WydPntQTTzyhgIAAxcfH69ixYypfvrzatGmT7nfF3ivu7u766quv1K1bN61atUqPPvqoypUrp0uXLikiIkLdunXTypUrFRERkekebaVbJxZfffWV3nzzTf3888/6/fffVbp0aZ0+fVoXL16Uu7u7Pv74Y1WsWNEJW5e6AgUKqH79+tq0aZNatmyp8uXLy8fHR4UKFdK333571/nffvtt9e3bV3PmzNHSpUtVsmRJRURE6NKlS+rbt68WLVrk8E5wRg0ZMkQHDhzQnj171LJlS1WoUEHXr1/X8ePH1bRpU8XExKT6KrDUvPPOO0pKSlKePHn0yy+/2O7g3u7jjz9O88lQUlKSQkJCFBISYusp3tvbW+fOnbOdnPr6+mrMmDF2z+S6ubnp8ccf1/z589W+fXtVqFDBNt56xzmj+3zo0KHq0qWLdu3apRYtWshisej69es6duyYmjdvrqtXr2rLli0pPt9du3bVmTNnNHHiRPXr109+fn4qVaqUkpKSFBERYes9O7OtGTIrKChIH374oYYNG6Yvv/xSkydPVvHixXXixAlduXJF3t7eGjVqVKqvgerbt69++OEHrVy5UgEBAXZ19fbbb6foXb9Jkyb6+OOP9fnnn+ujjz7SiBEjVLZsWbm5uens2bO2k+pPP/0009u2Y8cO/frrr/L09FSZMmVsF3ys9dyuXTvVr18/Tct64okndPjwYfXp00eBgYG2Rwe++eabFPumY8eOWr16tRISEtL1bvnk3NzcFBYWprCwMLm7u6t06dLy9fVVVFSUzp49q4SEBHl4eOj9999XlSpV7Ob9/PPPdeHCBW3fvl2dO3eWv7+/8ufPb9u//v7+evXVV23Tv/nmm7Znhdu3b6/y5cvL09PT1lS8YsWK+uSTT9K9DcWKFdP48eP1+uuva9q0aZo5c6YCAgKUM2dORUVF6dSpUzIMQ23atEn3stOqf//+2rhxo1auXKlHH31UZcqU0fnz53Xu3Dk9/fTTOnPmzF0v0KQmq4/jd5I7d25NmDBBvXr1UkhIiBYvXqyAgADlyZNHly9fVnh4uBITE1M8+92oUSPly5dPYWFhatq0qUqVKiVPT081btzY1mfPgAEDdO7cOf3xxx/q3r27ChcurOLFi9seabReJLF2+ng/qVy5ssqWLWv7rQsICJCXl5cqVqyoDz/8UBEREZo+fbpGjBghf39/FSxYUNeuXdOJEyeUmJgoi8Vyz28OwDUI88A9ljt3bn333XfaunWrFi5cqK1bt+rUqVOKj49X/vz51bRpU7Vq1UpPPvlkimA+cOBA1axZUzNmzNCePXt04cIFFSlSRO3atVOfPn0cvq/0XnJzc1NwcLAmTJigP/74Q0eOHFH+/PnVsmVLvfHGGyl6Ec6TJ49mzZql0aNHa82aNTp27JiKFi2ql19+Wf369btvgrxVxYoVNX/+fI0ZM0YbNmzQ4cOHVaZMGX3yySd64YUXFBISIil9nSdZmz46urPRokULLViwQBMnTtSmTZt04MAB5c2bV61atdKrr76aal8DzjZ69GiNHj1aGzZs0N69e5WQkCB/f/80zdu8eXNNmjRJ33//vfbv369jx46pQoUK+uCDD9SuXTstWrTIqWUtWrSo5s2bp7Fjx2rFihU6cuSISpQooTfeeEO9evXSK6+8ku5lWu+c361ncmtvyGkxZcoUrVu3TmvXrtXhw4d17tw5Xb16Vbly5VK1atXUqFEjvfDCCw57UP/www+VO3durVixQgcPHkxxZz+j+7xYsWKaO3euvvvuO61cuVKHDx+223fPP/+8JMef74EDB6pZs2aaOXOmwsLCdODAAeXOnVtFixZVixYt1Lp1azVo0CDN++de6dq1qwIDAzVlyhRt27ZNBw4csB1ne/funeqrIKVbjxTMmjVL48aN044dOxQXF6fq1aurZ8+eatWqlcN5XnjhBdWpU0fTp0/Xpk2bdOTIEXl7e6tYsWKqX7++WrVqpSZNmmR6uwYPHqwVK1YoLCxMZ86c0cmTJ1WkSBHb5yg9rUl69eqlpKQk/fXXXzpy5IjtTqyjHrybNWum/Pnz69KlSxnu+O7tt9/WI488orVr12rnzp2KjIxURESEvLy8VLZsWdWuXVtdunRxeOEyX758mjFjhn777TeFhITo8OHDunDhggoXLqzWrVurffv2dtPnyJFDkydP1uzZs7Vo0SJbnwblypVTmzZt9NJLL2X4/du1atXS4sWL9fPPP2v16tW2V8gWLVpUjRs3VrNmzWxNxO+FKlWqaObMmRozZoy2b9+uY8eOqUyZMurVq5defPHFTAXQrD6O3025cuW0aNEizZo1S8uXL9d///2n8PBwFS5cWHXq1FGTJk1S7Os8efJo8uTJ+u6772yvPkxKSrL7LfP09NTXX3+tJ598Ur/99pt27typ/fv3y9fXV2XLllWNGjXUunVrW/8L9xN3d3dNmDBB33zzjbZu3apdu3bZPVrx/PPPK1++fNq0aZNOnjyp/fv3K1++fHr44Yf11FNPqVOnTll68wdZx81IzwMpAB5ImzdvVvfu3dP8Cp3s6NKlS6pfv758fX3Tdee3T58+WrVqlV599VW9++6797CEQMYlJSWpbt26unr1qkJDQ5UvXz5XFynLdOvWTaGhoZo+fbrLWxfcb65cuaJHHnlEhmFo/fr1mXolHQDA+XhmHgDSwNoBXnrvllt7D3fmO6ABZ1u2bJmuXr2q8uXLP1BBHnf2559/Ki4uTi1atCDIA8B9iDAPAP/fwYMHNWfOHLvX7xmGoUWLFmns2LGSZGuKnBbTpk1TRESE7bk9wJUuXLigSZMm6dKlS3bD165dqyFDhkhK3+cb2Vt0dLStJ/OuXbu6uDQAAEd4Zh4A/r/o6Gh98sknGjp0qEqUKCE/Pz+Fh4fbOvh67rnn1Lx587su59VXX9XBgwd1/vx5SVLPnj1t7ykGXOXmzZsaNWqURo8erWLFiqlQoUI6e/as7XPatGlTQhs0ceJErV69WocPH9aVK1fUqFEjHj8AgPsUYR4A/r/y5curZ8+e2rBhg86cOaMzZ84oT548atCggZ599tk091S8a9cuxcfHq3Llynruuef03HPP3eOSA3dXsGBB9evXT+vWrdOpU6d04MAB5ciRQzVr1tTTTz+tTp06OeVNDTC3o0ePKiwsTH5+fnr66ac1ePBgVxcJAJAKOsADAAAAAMBkeGYeAAAAAACTIcwDAAAAAGAyPDNvIrf3QIzMy5cvny5fvuzqYsCJqNPsiXrNnqjX7CMmJkalSpWSJIWHhyt37twuLhGcie9q9kS93t/y589/12m4M48Hmrs7X4HshjrNnqjX7Il6BcyB72r2RL2aHzUIAAAAAIDJEOYBAAAAADAZwjwAAAAAACZDmAcAAAAAwGQI8wAAAAAAmAxhHgAAAAAAkyHMAwAAAABgMoR5AAAAAABMhjAPAAAAAIDJEOYBAAAAADAZwjwAAAAAACZDmAcAAAAAwGQI8wAAAAAAmAxhHgAAAAAAkyHMAwAAAABgMoR5AAAAAABMhjAPAAAAAIDJeLq6AAAAAACA+9/ff/+tnTt36sCBA/rvv/8UHx+vjz76SE8++WS6l7Vz507NmTNHu3fv1qVLl5QzZ04VKFBAgYGBqlevntq2bWubNiQkRMOHD8/wurIrwjwAAAAA4K4mTJigs2fPys/PTwULFtTZs2cztJyQkBB9/vnn8vDwUMOGDVWqVCnFxsYqIiJCGzdu1Pbt2+3CPBwjzAMAAAAA7uqDDz5QqVKlVLx4cU2fPl3jx49P9zJu3rypb775Rrly5dLEiRNVrlw5u/EJCQkKCwtzVpGzNcI8AAAAAOCu6tatm+ll/Pfff7p+/boeffTRFEFekjw9PVWvXj3b38OGDdPixYslScOHD9fw4cNt4zZt2iRJOnDggEJCQrRt2zZFRkYqISFBJUuWVOvWrdW1a1d5eqaMvdu2bdPEiRN14MABeXt7q06dOnrjjTf06aefavv27bZlWxmGoZCQEP3xxx/677//lJiYqICAAHXs2FFPPfVUpvdLRhDmAQAAACCzDENKuOHqUqTOM6fk5ubqUsjX11eSdPr0aSUlJcnd/c59sjdp0kTXrl3T2rVr9eijj6pChQopplm0aJHWr1+v6tWrq0GDBoqNjdW2bds0fvx47du3TyNHjrSbfvPmzXr77bfl6empFi1aqFChQtq2bZt69+6tvHnzpli+YRgaMmSIli1bptKlS6t169by9PRUaGioPv/8cx07dkxvvPFGJvZKxhDmAQAAACAzDEM557wgj9PbXV2SVCWWqKkbz/3i8kBfsmRJBQYG6uDBg3r99dfVtm1bVa5cWaVLl5aHh0eK6Zs0aaKrV6/awryjDvC6d++uQYMG2c1vGIa++OIL/fnnn9q5c6eqVasmSUpMTNSIESNkGIa+//57ValSxTbPZ599pr/++ivF8hctWqRly5bpqaee0nvvvWe70x8fH6/Bgwdr1qxZeuyxx1SxYsVM75/04NV0AAAAAJBprr/rbQZubm764osv9PDDD2v79u0aPny4unTpohYtWqhfv34KCQlRYmJiupZZvHjxFBcC3Nzc1LFjR0nSli1bbMN37typs2fPqnHjxnZBXpJ69+7t8ILCvHnzlDNnTg0aNMiuyb6Xl5f69OkjSVq2bFm6yuwM3JkHAAAAgMxwc7t115tm9mni7++vSZMm6dChQ9qyZYv27dun3bt3a+vWrdq6dav+/vtvffvtt/L29k7T8uLj4zV37lwtX75cx48f140bN2QYhm38hQsXbP8+fPiwJKlq1aopllOkSBEVLVpUp0+ftg27efOm/vvvPxUqVEjTp09PMU9CQoIk6cSJE2nbeCcizAMAAABAZrm5SV65XF0KU7FYLLJYLLa/w8LC9OmnnyosLEzz589Xly5d0rScwYMHa/369SpdurRatmyp/Pnzy9PTU9euXdOcOXMUFxdnmzYmJkaS5Ofn53BZBQoUsAvzV65ckWEYOn/+vCZPnpxqGW7cyPoLOYR5AAAAAIDL1apVS71799bw4cO1devWNIX5ffv2af369apfv75Gjx5t10x+z549mjNnjt30uXPnliRFR0c7XF5UVJTD6StWrKhp06alY2vuPZ6ZBwAAAADcF3LkyJFimDWgJyUlpRgXEREhSWrYsGGK59137NiRYnprb/i7du1KMe7cuXOKjIy0G5Y7d26VLVtWx48f19WrV9O2EVmEMA8AAAAAyBKnT5/W3Llzbc3dk7tx44btTrq193np/15nd+7cuRTzFCtWTNKtju2SO3r0qMNn3KtVq6ZixYpp3bp12rt3r924CRMmOOx879lnn9XNmzc1YsQIh83pT58+bdc0P6vQzB4AAAAAcFeLFi2yheb//vtPkvTHH39o27Ztkm69Rq5JkyZ3XMa1a9c0evRoBQcHq1q1anrooYfk4+Oj8+fPa/369bpy5YoqVqyoZ5991jZPlSpV5OPjozlz5igmJkb58+eXdOuVdJUqVVKlSpW0YsUKXbx4UZUrV1ZkZKTWrVunRx55RCtXrrRbv4eHh959912988476tu3r1q2bKmCBQtq+/btOn/+vCpUqKAjR47YzdO+fXvt2bNHixcv1q5du1SnTh0VKlRIUVFROnHihPbu3athw4apRIkSmdvB6eRmJO/mD/e1S5cuuboI2U7+/PnZr9kMdZo9Ua/ZE/WafcTExKhUqVKSpPDwcNszpsge+K5mTxmp12HDhmnx4sWpjn/11Vf12muv3XEZcXFx2rBhgzZv3qy9e/fq/Pnzunr1qnLnzq2AgAA1bdpUHTp0kI+Pj918Gzdu1E8//aT//vtPsbGxkqRNmzZJupWTxo8fr02bNunKlSsqWbKk2rdvr4YNG6pDhw5q06aNPvnkE7vlhYWFaeLEiTpw4IB8fHxUp04dvfHGG3r77bcVGRmp5cuXpyj78uXLtWjRIh08eFDXr19X/vz5VapUKTVq1Eht2rRJtVO9jLBesLgTwryJcBB1Pn6csh/qNHuiXrMn6jX7IMxnb3xXsyfqNaWYmBi1adNG5cqV05QpU1xalrSEeZ6ZBwAAAAA8MG7cuJHimf3ExEQFBwcrNjb2ro8K3C94Zh4AAAAA8MAIDw9X7969Va9ePfn7++v69evasWOHjh07poceesjuef37GWEeAAAAAPDAKFy4sJo3b67t27dr06ZNSkxMVNGiRfXCCy/opZdeUs6cOV1dxDQhzAMAAAAAHhj58+fXxx9/7OpiZBrPzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATMbT1QUAAAAAANzfzp07p5UrV2rjxo06ceKELl68KF9fX1WtWlUvvviiqlSpkq7l7dy5U3PmzNHu3bt16dIl5cyZUwUKFFBgYKDq1auntm3b2qYNCQnR8OHD9dFHH+nJJ5909qaZFmEeAAAAAHBHc+fO1YwZM1SyZEnVrVtX+fPnV3h4uNauXau1a9dq2LBhatmyZZqWFRISos8//1weHh5q2LChSpUqpdjYWEVERGjjxo3avn27XZiHY4R5AAAAAMAdVapUST/++KOqV69uN3zHjh3q16+fvvrqKz366KPy9va+43Ju3rypb775Rrly5dLEiRNVrlw5u/EJCQkKCwtzdvGzJcK8iSQmJiopKcnVxchW4uPjFR8f7+piwImo0+yJes2eqNfsI3k9Uq/ZD3WaPaW3Xhs1amSbL7nKlSurRo0a2rJliw4ePKiKFSvecTkHDx7U9evX1ahRI5UuXdphGWrWrGkb/vnnn2vJkiWSpOHDh2v48OG26datW2db5uLFi7V9+3adO3dO8fHxKlmypFq1aqXnn39enp4pY+/27ds1efJkHTx4UN7e3qpdu7b69u2r4cOHa8eOHbZlWxmGocWLFyskJERHjx5VYmKiypYtq/bt27usFQFh3kQiIiIUFxfn6mJkK9HR0bp8+bKriwEnok6zJ+o1e6Jes48bN27Y/h0eHq6cOXO6sDRwNr6raWMYUlycm6uLkSpvb0NuyYrnzHq1Bu9z587d9ft/9epVSdLJkyd17NgxubvfuU/2ihUr6vz58woLC1OtWrVUunRp27gTJ05IkmbNmqXt27crMDBQlSpVUlxcnPbv368JEyZo27ZtevPNN+2WuXv3bo0aNUru7u6qX7++/Pz8tH//fvXu3Vu5c+e2W7Z0K8j/8MMP2rhxo4oVK6b69evL09NTe/bs0ciRI7Vr1y517do1jXsrbYoUKXLXaQjzJhIXFycPDw95eHi4uijZho+Pz12bAsFcqNPsiXrNnqjX7CMxMdH2b29vb+o1m+G7eneGIQ0dXliHDvu4uiipslSI1ZCPztsCvbPq9cKFC9q7d6/8/PxUrly5u4bzUqVKKSAgQMeOHdPIkSPVtGlTlS9fXiVKlHA4b8OGDRUXF6ewsDDVq1dPTZs2TTFNx44d1atXL7v5DcPQjz/+qFWrVuno0aO2FgNJSUmaMmWKkpKSNGzYMFWoUME2z/jx47V69WpJsts3y5cv18aNG9W8eXO99tprtjyWkJCg0aNHa/HixXr00Uf10EMPpXm/3UnyY+qdEOZNxsPDQ15eXq4uRrbh5eXF/sxmqNPsiXrNnqjX7CN5M1lPT0/qNZvhu3p3hiG5ud+/d+WlW+Xz8vKyhXln1GtCQoKCg4MVHx+vHj16yMcnbRcz3n33XY0ZM0b79u3Tvn37JN26uBAYGKgmTZqoSZMmdjcwrf9OLQuVKFHC4Xratm2rVatWad++fXr44YclSXv27NH58+dVr149VapUyW76F154QWvXrlVSUpLdepYtW6YcOXKod+/ediHfy8tL3bp1U1hYmP79918FBgamafudhTAPAAAAAJng5iZ9NuSSYmNdXZLU+fjIrpl9ZiUlJSk4OFj79u1Tq1atHN4xT02xYsU0cuRIHTt2TDt37tSRI0d04MAB7dq1S7t27dKqVav0ySefpPliQ3x8vBYvXqz169crIiJCN2/elGEYtvFRUVG2fx8/flySHD7bX6hQIRUuXFiRkZG2YbGxsTpx4oQKFCigBQsWpJgnISFBknTq1Kk0ldWZCPMAAAAAkElublKOHK4uRdYwDEPjx4/XmjVr1KRJE/Xp0ydDywkICFBAQIDt7z179mjMmDHas2eP/v77b7Vr1y5Ny/n666+1ZcsWlShRQo888ojy5csnT09PxcTEKCQkxK71kLWPD19fX4fLypcvn12Yv3btmgzD0MWLFzVnzpxUyxDrgis5hHkAAAAAQJokJSXp+++/18qVK9W4cWP179//rs/Jp1WVKlXUpUsXBQcHa/fu3WkK84cPH9aWLVtUo0YNffjhh3bN8w8ePKiQkBC76a0d9F25csXh8m7vFDBXrlySpHLlymnUqFHp2p57zTl7HQAAAACQrSUP8o0aNdKbb77p9M65czho3mC9WODoNd1nz56VJNWqVStFWazP4ydXtmxZSdKBAwdSjLtw4YIuXLhgNyxnzpwqWbKkTp06pZiYmLRtRBYhzAMAAAAA7ih5kG/YsKHeeuutDAX5yMhILV682O6VllY3b9603UkPCgqyDc+TJ48k6eLFiynmKVy4sCRp//79dsNPnjzp8Bn3oKAgFS5cWFu2bNGhQ4fsxs2ePdthT/Jt27ZVbGysvv/+e928edPhNp07dy7F8HuNZvYAAAAAgDv67bfftHLlSuXIkUMlSpTQ3LlzU0xTr149u2fgHbl+/bomTZqkn3/+WUFBQSpdurS8vb118eJFbd26VdeuXVO5cuXUtm1b2zyBgYHy9vbWn3/+qevXr9ued+/YsaMqVKigChUqaMOGDbp06ZIsFosuXLig0NBQ1apVS//++6/d+j08PNS7d2+NGDFCH3/8sRo1aiQ/Pz/t3btXUVFRKlu2rN075iWpdevWOnTokFatWqUDBw6oWrVqyp8/vy5fvqxTp07p8OHDGjBgQJreDe9MhHkAAAAAwB1Z7zzfvHlT8+bNczhNkSJF7hrmS5YsqXfffVc7duzQoUOHtGbNGl27dk25cuVSqVKlVL9+fT3++ON2r4DLmzev3n33Xf36669asmSJ4uLiJN0K8x4eHvrwww81Y8YMbd++XUeOHFHx4sX10ksvqWbNminCvHSrSf6QIUM0e/ZsrV+/Xt7e3qpataoGDRqkzz77zPZcvZWbm5veeOMN1apVS//884+2bt2qmzdvKl++fCpevLh69OihatWqpWt/OoObkbzPftzXtmzZIm9vb97z6UR+fn6Kjo52dTHgRNRp9kS9Zk/Ua/Zx/fp11alTR9Kt8xVrh1HIHviuZk/Ua0o3btzQSy+9pDJlyuirr75yWTni4+PTdHGAZ+YBAAAAAA+MmzdvpnhmPzExUdOmTVNcXJzq1avnopKlD83sAQAAAAAPjDNnzuiDDz5Q9erVVbRoUd24cUP79+9XeHi4SpUqZfe8/v2MMA8AAAAAeGAUKFBADRs21N69e7V9+3YlJiaqcOHCevrpp9W5c2eHr8e7HxHmAQAAAAAPjHz58ql///6uLkam8cw8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkPF1dAAAAgMwKP+Whs2c9VaxYgkqVTHR1cQAAuOcI8wAA3CcuX3FzdRGyXGa3+eo1N036KZ/27fe2DasUFKfXel5W3jxGZouX7eTzZZ8AQHZBmAcAJ7p509UlyJ5u3Hww9m3P3kVcXQQXyNw2u7tLuXNLwz51U7WHpZ27pa9He2vgO4WVlOSkImYjM6ZG3pPlxsba/9udBznvOzlyuLoEAJyNMA8ATtTt5aKuLkI2xr5FSklJ0jsD3dS86a07/M2bSoYhDRnKHWhH7tUxKikpxvbvnn2KyN099z1ZDzJu7ux7cyEHgOtw3RQAAJhatYft/65e1TXlAAAgK3FnHgCc6F41YX3Q5fPz0+XoaFcX456jZUfG7Nx964681Y5dLivKfe9eHaNu3LiuRo1u/funH88pZ85c92Q9AID/Q5gHACfimcR7I2cOKfYB2Lc/TTjn6iJkqXy++XT5yuVMLeObMX765lsvGYa7qle9FeS/HZOkSkHxevutaOcUNBu5V8eo5P0T+PhwLASArECYBwDgPvGg9TTu5ydJmdvmgW9Fa2ywn4YM/b/e7Ks+HK83+0XL9wHbnwCABwthHgAAmJavr6GPP7jEe+YBAA8cwjwAADC9UiUTCfEAgAcKvdkDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAy6Q7zmzdvVmBgoMaNG3cvyuMS77//vgIDA23/zZ49O8vW/e2339qtOzvtVwAAAADAvXHf3Zlv3ry5mjdv7pJ1d+/eXf369VOVKlXshgcGBqpbt24ZWubdLn7Ur19f/fr1U/v27TO0fAAAAADAg8fT1QW4n/To0UMlS5bM0nU2aNBADRo00ObNm7Vw4cIsXTcAAAAAwJzuuzvzAAAAAADgzjIV5rds2aIXX3xRNWrUUN26dTVw4ECdPXs2xXQXL17UF198oVatWqlKlSqqV6+e+vfvr0OHDtmmOXXqlAIDAxUREaGIiAiHz5HHxcVpxowZevXVV9WkSRNVqVJFDRo0UL9+/bRv377MbIpD1ibykhQaGmpXpgULFkiSFixYYPt79erV6tq1q2rUqKHmzZtr3Lhx6t69uyQpODjYbv5Tp045vbwAAAAAgAdDhpvZ79ixQxMmTFDTpk3VrVs37d27VyEhIQoLC9O8efNUqFAhSdLJkyfVrVs3RUZG6pFHHlHLli118eJFLVu2TOvXr9e0adNUrVo1+fr6ql+/fvr5558l3WryblW3bl1J0uXLl/XFF1+odu3aatKkiXx9fRUeHq6VK1dq7dq1+uWXX1S1atXM7A87/v7+6tevn4KDg+Xv72/3XHtQUJDdtEuWLNGGDRvUtGlTde3aVTExMapbt67at2+vhQsXqm7durbtkCRfX1+nlRMAAAAA8GDJcJhfv369hg8frs6dO9uGBQcHa9y4cfrmm2/0xRdfSJLeffddXbhwQZMnT9Yjjzxim/Z///ufOnbsqI8++kh//vmnfH191b9/f9tz4/3790+xznz58mn16tUqWrSo3fDDhw/r2Wef1bfffqupU6dmdJNSKFmypPr3728L847KZLV27VpNmTJFDRs2TDHOGubvND8AAAAAAGmV4Wb2AQEB6tSpk92wnj17qkCBAvrrr78UFxenffv2afv27XrmmWfsgrx1/meffVaHDh2ya25/J97e3imCvCRVqFBB9erV05YtWxQfH5/RTcqUli1bOgzyAAAAAAA4W4bvzNesWVNubm52w3LkyKHKlStr3bp1On78uHbs2CFJunDhgsNXsx09etT2f4vFkqb17t+/Xz/99JPCwsJ04cKFFOH90qVLKlKkSAa2KHOc2bwfAAAAAIA7yXCYL1iwoMPh1mflr169qsuXL0uSVq9erdWrV6e6rBs3bqRpndu2bbM9S//II4+obNmyypUrl9zc3LR8+XIdOHBAcXFx6dgK50ltfwAAAAAA4GwZDvMXL150OPzChQuSpLx58ypPnjySpI8//lgvvvhiRldl8+OPPyouLk6zZs1SrVq17MZZWwG4yu2tFAAAAAAAuFcy/Mz8tm3bZBiG3bCbN29q7969ypEjh8qWLatq1apJkrZv3572Arm7KzEx0eG4kydPys/PL0WQv3Hjxj15NV1aynQ3Hh4ekpTh+QEAAAAAuF2Gw/yxY8c0b948u2E//fSToqKi1LZtW3l7e6tq1aqqVq2a/vrrLy1evDjFMpKSkhQaGmo3LF++fLp06ZJiY2NTTO/v76/Lly/r8OHDtmGJiYn68ssvFRUVldFNuat8+fLp7NmzGZ5XkiIjI51ZJAAAAADAAyzDzewbNWqkoUOHas2aNXrooYe0d+9erV+/XsWLF9fbb79tm2706NHq0aOHBgwYoJ9//lmVK1eWj4+PTp8+rR07digqKkq7d++2TV+/fn3t2bNHffr0Ua1ateTt7a2aNWuqdu3aevHFF7V+/Xp17dpVTzzxhLy9vRUaGqrIyEjVrVs3xYUBZ6lfv77+/vtvvfHGGwoKCpKHh4eaNGmiwMDAu8770EMPqUiRIvrrr7+UI0cOFStWTG5uburSpYvy5s17T8oLAAAAAMjeMhzmq1evrj59+mjMmDGaPn26vLy81LZtW73zzju2TvAkqVSpUlq4cKGmTp2qFStWaP78+XJ3d1eRIkVUu3ZtPf7443bL7du3r65cuaJVq1Zp06ZNSkpKUr9+/VS7dm01a9ZM3333nSZMmKA//vhDOXLkUP369fX999/r+++/z/heuIsPP/xQkrRp0yb9888/SkpKUqFChdIU5j08PBQcHKxRo0Zp0aJFiomJkSS1adOGMA8AAAAAyBA34/YH3x9A77//vhYuXKgVK1aoZMmSLinD5s2b1b17d/Xr10/9+/d3OM2WLVvk7e0tLy+vLC5d9uXn56fo6GhXFwNORJ1mT9Rr9kS9Zh/Xr19XnTp1JN06X8mVK5eLSwRn4ruaPVGv96/4+Hhb/3N3kuFn5rOjFi1aKDAwULNnz86ydX777bcKDAxU9+7ds2ydAAAAAABzy3Az++ykZcuW8vf3t/1dpUqVLFt3/fr15en5f9VQt27dLFs3AAAAAMCcsmWYP3XqlBYuXHjX6fLmzauXXnpJLVu2VMuWLbOgZCk1aNBADRo0cMm6AQAAAADmlC3DfEREhIKDg+86nb+/v1566aV7XyAAAAAAAJwoW4b5evXq6eDBg64uBgAAAAAA9wQd4AEAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwmWzZAR4AAAAA4Bbvy8fldTVC8Xn9FZevrKuLAychzAMAAADAfcLjZrTTluUee0VFt36rnOd22obdKFJNkbUHyM3HkMfNy05ZT2IOP6csB+lDmAcAAADwQHFLuOHqIqTqoYUdnLYsw81d8s6rG09+qyT/WnKPCFOOf4aozN+vyM1IUiEnredI57+ctKSsYXjmdHURnIIwDwAAAOCBUn5uW1cXIUu4GUm60epTJVoelyQlWh5XrGEox19vO3U9Ztufh7usdHURnIIO8AAAAAAgm0ryr2X3d2LJ2i4qCZyNO/MAAAAAHij3c7NwZ9/ldo8Is92ZlySPU1udunzp/t6f2RlhHgAAAMAD5X5+Zvpo+wVOW1bxDUPls2KY4gxDiSVry+PUVnmv/Ew3ilRTTJtvdOWyczrAu5/3Z3ZGmAcAAACA+4Qze4Y/3ehTFd/4uXIle0b+erHaOtPwQ/nmzK/EWDenrQtZjzAPAAAAANlQkk8+RTT7ivfMZ1OEeQAAAADIxuLylSXEZ0P0Zg8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMl4uroASJ/ExERXFyFbiY+PV3x8vKuLASeiTrMn6jV7ol6zj4SEBLt/U6/ZC9/V7Il6vX+lNfMR5k3E29tbcXFxBHonio2NVVxcnKuLASeiTrMn6jV7ol6zj+T1GBcXJw8PDxeWBs7GdzV7ol7NjzBvIv7+/kpKSnJ1MbKV/Pnz69KlS64uBpyIOs2eqNfsiXrNPmJiYmz/LlWqlHLnzu3C0sDZ+K5mT9Sr+RHmTcTDw4Mr3U7m5eUlLy8vVxcDTkSdZk/Ua/ZEvWYfyeuRes1+qNPsiXo1PzrAAwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzeKAd+S9B6zcYOnbccHVRAAAAACDNPF1dACAzLkVnLIRfvmJo1Ghpx87LtmHVqxkaNFDK5+uWrmXl90vf9AAAAACQWYR5ONWNG1l7h/upZzK2Pnd3KXduadinbqr2sLRzt/T1aEPdX5KSktK3zH/+zlARMi1nTi4iAAAAAA8qwjycqtUT5miunpQkvTPQTc2b3grEzZtKhiENGZr+8rtqm9evJswDAAAADyqemccDq9rD9n9Xr+qacgAAAABAenFnHk71z99Ze7c4M3fFd+6+dUfeaseujC0nq7cZAAAAAAjzcKqsfo77z98zNt/HQwx9M8aQYdy6I79jl/TtWEPVq0mfDU3fNvDsOgAAAICsRpiHqWW0J/nhQ6Whww27Z+Tr1JaGfOQmP3qnBwAAAHCfI8zjgeTn56ZvR7npYlRe7d9/Rf7+UkBZQjwAAAAAcyDM44FWvpynChYgxAMAAAAwF3qzBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzkhYsWKDAwEDbfwMGDMiydXfp0sVu3Zs3b86ydQMAAAAAzMnT1QW4n7Ro0UJBQUGqUKFChpexaNEihYWFac+ePTp06JDi4+M1YsQIdejQweH0HTt2VMOGDRUaGqrQ0NAMrxcAAAAA8OAgzCfTsmXLVEN3Wo0dO1YRERHKnz+/ihQpooiIiDtO36lTJ0nSuHHjCPMAAAAAgDShmb2TDR8+XCtXrtSmTZv0/PPPu7o4AAAAAIBsiDB/B6GhoQoKClKHDh0UFxdnN27Tpk0KCgpSp06dFB8fbxvesGFD+fv7Z3VRAQAAAAAPEML8HdStW1e9evXS3r179e2339qGR0dH691331WOHDk0evRoeXl5ubCUAAAAAIAHDWH+Lvr376/q1atr6tSpWr9+vSTpo48+UmRkpD7++GOVKVPGxSUEAAAAADxoCPN34enpqVGjRil37tx6//339cMPP+iff/7RE088kenO8gAAAAAAyAjCfBqUKlVKn376qc6fP68xY8aoRIkSGjZsmKuLBQAAAAB4QBHm0+iRRx5Rrly5JEnt2rWTr6+vi0sEAAAAAHhQEebTaPDgwbp+/br8/Pw0depUHTx40NVFAgAAAAA8oAjzaTB9+nStXr1aHTp00KRJk5SUlKSBAwcqNjbW1UUDAAAAADyACPN3cfDgQY0aNUqlS5fWRx99pKpVq6p///46fPiwvvzyS1cXDwAAAADwAPJ0dQHuZ7GxsRo0aJASExM1evRo5c6dW5L02muvaf369Zo5c6YaN26sZs2a2eaZO3euwsLCJEmHDh2yDQsNDZUktWzZUi1btsziLQEAAAAAZCeE+Tv48ssvdejQIb311luqWrWqbbi7u7u++uorPf300/rggw/0xx9/qHDhwpKksLAwLVy40G4527Zt07Zt2yRJ/v7+hHkAAAAAQKYQ5u/gk08+0SeffOJwXPHixW1325MbOXKkRo4cea+LBgAAAAB4gPHMfDKDBw9WYGCgBgwYkGXr7NKliwIDAxUcHJxl6wQAAAAAmBt35iUFBQWpX79+tr8rVKiQZevu2LGjGjZsaPvb398/y9YNAAAAADAnwrxuhfmgoCCXrLtTp04uWS8AAAAAwLxoZg8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACT4dV0gEm5XTwi9+iTSvIrLaNgeVcXBwAAAEAWIswDznQ96t6v40a0ciwfIs+IrbZBCf61dbPlUCmn371fvyTlKpA16wEAAADgEGEe94/461m+SiPO26nrzfPjI05bVmoMN3fJO69uPPmtkvxryT0iTDn+GaLc05+Sm5F0z9cvSdf6h2XJejIiXXXqleveFgYAAAC4RwjzuG/kGVcry9eZIClPlq81c9yMJN1o9akSLY9LkhItjyvWMJTjr7ezrAyuqKu0Sk+dXnt7/70sCgAAAHDP0AEeYEJJ/vZhOrFkbReVBAAAAIArcGce9w1XNN328/NTdHS005aXVXes3SPCbHfmJcnj1NY7TO1893Mze2fXKQAAAHA/Iszj/uGC55fdvHNLXnFOW961PhuctqzU5PjzTfms+ExxhqHEkrXlcWqrvFcOV0LJOrr55Jh7vn5J9/Wz5s6uUwAAAOB+RJgHnCkLenm/2e475Vg8yO4Z+YQyDXWzzSgpZ/57vn4AAAAArkeYB8wmZ37d7DiZ98wDAAAADzDCPGBSRsHySiTEAwAAAA8kerMHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAybgZhmG4uhAAAAAAACDtuDMPAAAAAIDJEOYBAAAAADAZwjwAAAAAACZDmAcAAAAAwGQI8wAAAAAAmAxhHgAAAAAAk/F0dQEAZ1i0aJHCwsK0Z88eHTp0SPHx8RoxYoQ6dOiQ5mVs3bpVy5cvV2hoqCIiInT9+nX5+/urRYsW6t27t3x9fe/hFsARZ9Tr7eLj49WpUycdOHBAAQEBWrJkiRNLjLRwZr1eu3ZNU6ZM0bJlyxQeHi4vLy+VKlVKLVq0UL9+/e5B6eGIs+r0ypUrmjp1qpYvX65Tp07J29tbJUuWVPv27dW5c2f5+Pjcoy3A7SIjI/X3339r7dq1Onr0qC5cuKB8+fKpZs2a6tmzp6pVq5bmZSUlJWnWrFmaM2eOTpw4oVy5cqlevXoaMGCAypYte+82Aik4q145Z7q/OPP7mhznTPc/wjyyhbFjxyoiIkL58+dXkSJFFBERke5lvPnmm7p06ZJq1aqlp59+Wm5ubgoNDdVPP/2kZcuW6ddff1XBggXvQemRGmfU6+3Gjx+vkydPOqF0yChn1evp06fVo0cPhYeHq2HDhmrSpIni4uJ08uRJLV26lDCfhZxRp1euXFGHDh0UHh6uWrVq6fnnn1dcXJzWrl2rzz77TP/884+mTp0qd3caFWaFGTNmaNKkSSpdurQaNmyoggUL6sSJE1q+fLmWL1+u0aNHq02bNmla1pAhQ/Tbb7+pfPnyevHFF3Xx4kUtXrxYGzZs0K+//qry5cvf462BlbPqlXOm+4szv6/Jcc5kAgaQDWzYsME4deqUYRiGMWHCBMNisRjz589P1zImTJhgREZG2g1LSkoyhgwZYlgsFuPTTz91WnmRNs6o1+T27NljVKpUyZg+fbphsViM1q1bO6uoSAdn1GtCQoLRsWNHo2rVqsa///6bYnx8fLxTyoq0cUadTpw40bBYLMYXX3xhNzw2Ntbo2LGjYbFYjNDQUKeVGXe2dOlSY8uWLSmGb9myxahcubJRt25dIzY29q7L+ffffw2LxWJ07drVbvqNGzcagYGBxgsvvODUcuPOnFWvnDPdX5xVr8lxzmQOXN5GttCwYUP5+/tnahm9evVSkSJF7Ia5ubmpb9++kqQtW7ZkavlIP2fUq1VcXJzef/99VatWTS+++KJTlomMcUa9Ll26VLt379Yrr7yi+vXrpxjv6UnDs6zkjDoNDw+XJDVp0sRuuLe3tx555BFJ0sWLFzO1DqTdY489ptq1a6cYXrt2bdWrV0/R0dE6ePDgXZczd+5cSdJbb70lb29v2/AGDRqoUaNG2rJli44dO+a8guOOnFWvnDPdX5xVr1acM5kHZzvAXVhDgYeHh4tLgswIDg7WiRMntGjRIrm5ubm6OMikxYsXS5Ief/xxnTlzRqtXr9bVq1dVqlQpPfroo8qdO7eLS4j0qlChgiRp3bp1atiwoW14fHy8Nm7cqBw5cqhGjRquKh6Ssf4upuWi2ebNm5UrVy7VrFkzxbhGjRpp3bp12rJliwICApxeTqRPeur1bsvgnOn+kZF65ZzJPAjzwF3Mnz9fkmx3hmA+u3bt0k8//aQBAwZwwphN7NmzR5IUFhamESNGKC4uzjauQIECGjNmjOrVq+eq4iEDOnfurEWLFmnKlCnas2ePqlSpovj4eK1bt06XL1/W6NGjVbRoUVcX84F3+vRpbdy4UYULF5bFYrnjtNevX9f58+dlsVgchjtr53fHjx+/ByVFeqSnXu+Ec6b7S0bqlXMmc6GZPXAH+/fv1/fff6+CBQuqZ8+eri4OMiAuLk6DBw9WUFCQXnnlFVcXB05ibW49fPhw9ejRQ2vWrNG///6rjz76SFevXtXrr7+uc+fOubiUSI8cOXJoxowZateunUJDQzVlyhTNmDFDJ0+e1JNPPunwzi6yVnx8vN59913FxcVp0KBBd737evXqVUlSnjx5HI63Dr927ZpzC4p0SW+9poZzpvtLRuqVcybz4c48kIrw8HD17t1biYmJ+uabb1SgQAFXFwkZMGbMGJ04cULz58+n2V82YhiGJKlp06YaNGiQbXi3bt0UGRmpSZMmad68ebbnN3H/i4qKUt++fRUVFaWJEyeqZs2aio2N1cqVKzVy5EitXr1a8+fPV758+Vxd1AdSUlKSPvjgA23ZskXPPvusnnnmGVcXCU7grHrlnOn+ktF65ZzJfLgzDzgQERGhHj16KCoqSt99953DDrZw/9u7d6+mTZumPn36KDAw0NXFgRNZ7+g1b948xbhmzZpJ+r+m+DCHkSNHavv27fruu+/UpEkT5c2bV4UKFdKzzz6rd955R+Hh4fr5559dXcwHkmEY+uijj/THH3+oXbt2Gjp0aJrmy5s3r6TU77xbh6d25x73Vkbr9XacM91fMlqvnDOZE3fmgducOnVK3bt317lz5zRmzBhbMID5HDx4UImJiRo3bpzGjRuXYvyxY8cUGBiovHnzauvWrS4oITIqICBAly5dkq+vb4px1mGxsbFZXSxkwpo1a+Tn56eKFSumGGcNB3v37s3qYj3wkpKS9OGHH2rBggV68sknNXLkSLm7p+1eUK5cuVS4cGGdOnVKiYmJKe70WZ+Vtz47j6yTmXpNjnOm+0tm6pVzJnMizAPJJP9R+vbbb9WyZUtXFwmZULZsWXXq1MnhuHnz5ilv3rxq3bq1cubMmcUlQ2bVr19f27Zt05EjR/TYY4/ZjTty5IgkOe21hsgacXFxtv+Sv8JMutUEX1KK4bi3kgeDNm3a6Kuvvkp309u6devqr7/+0rZt21SnTh27cevXr5ekFMNxbzmjXiXOme43ma1XzpnMiTCPB05UVJQuXbqk/Pnz2z3TZf1RioyM1LfffqtWrVq5sJRIL0f1WrNmzVQ7zZo3b54KFSqkzz//PCuLiXRK7fvaoUMH/fTTT/rll1/UsWNHWy/n165d04QJEyRJTzzxhEvKjDtLrU5r1qyp9evXa/z48Xrrrbdsw+Pi4jR+/HhJ4g0FWSh5MHj88cf19ddf3zEYpFavzz77rP766y+NGTNGU6dOtV2Q+ffff7V+/XrVqVOHHrOzkLPqlXOm+4sz6pVzJnNyM6y9CAEmNnfuXIWFhUmSDh06pL1796pmzZoqU6aMJKlly5a2K8bjxo1TcHCw+vXrp/79+9uW0bx5c0VERKh69epq1KiRw/Uknx73njPqNTWBgYEKCAjQkiVL7t0GwCFn1euMGTM0fPhw+fn5qVWrVvL29tbq1asVERGh5557TsOGDcvaDXuAOaNO9+/frxdeeEExMTGqWrWqrQO89evXKzw8XJUrV9bs2bPl4+OT9Rv4ALLWU65cudS9e3eH76hu2bKlgoKC7KZ39F396KOPNHfuXJUvX15NmjTRxYsXtXjxYvn4+OjXX39V+fLls2Sb4Lx65Zzp/uLM76sjnDPdv7gzj2whLCxMCxcutBu2bds2bdu2TdKt5rZ3a/4VEREhSdqxY4d27NjhcBp+mLKWM+oV9x9n1Wu3bt3k7++vyZMn66+//lJiYqLKly+vPn366Nlnn70nZYdjzqjToKAgLViwQBMmTNCmTZs0c+ZMeXh4qHTp0urfv79effVVgnwWsv4mXr9+XT/++KPDafz9/W3h4E6GDRumwMBAzZkzRzNmzFCuXLnUrFkz3mPtAs6qV86Z7i/O/L7CXLgzDwAAAACAyfBqOgAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkCPMAAAAAAJgMYR4AAAAAAJMhzAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAm8/8A5jq/dBKVo/QAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1135,77 +1098,69 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.012</td>\n",
-       "      <td>0.025</td>\n",
-       "      <td>-0.058</td>\n",
-       "      <td>0.037</td>\n",
+       "      <td>-0.019</td>\n",
+       "      <td>0.021</td>\n",
+       "      <td>-0.061</td>\n",
+       "      <td>0.020</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.371</td>\n",
-       "      <td>0.133</td>\n",
-       "      <td>2.119</td>\n",
-       "      <td>2.618</td>\n",
+       "      <td>2.394</td>\n",
+       "      <td>0.057</td>\n",
+       "      <td>2.290</td>\n",
+       "      <td>2.507</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.235</td>\n",
-       "      <td>0.067</td>\n",
-       "      <td>1.107</td>\n",
-       "      <td>1.360</td>\n",
+       "      <td>1.283</td>\n",
+       "      <td>0.071</td>\n",
+       "      <td>1.151</td>\n",
+       "      <td>1.418</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>-14.669</td>\n",
-       "      <td>0.294</td>\n",
-       "      <td>-15.217</td>\n",
-       "      <td>-14.112</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.060</td>\n",
-       "      <td>0.240</td>\n",
-       "      <td>-0.502</td>\n",
-       "      <td>0.407</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-15.354</td>\n",
+       "      <td>0.295</td>\n",
+       "      <td>-15.915</td>\n",
+       "      <td>-14.796</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.132</td>\n",
-       "      <td>0.149</td>\n",
-       "      <td>7.855</td>\n",
-       "      <td>8.411</td>\n",
+       "      <td>8.416</td>\n",
+       "      <td>0.161</td>\n",
+       "      <td>8.109</td>\n",
+       "      <td>8.714</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.976</td>\n",
-       "      <td>0.260</td>\n",
-       "      <td>1.476</td>\n",
-       "      <td>2.464</td>\n",
+       "      <td>1.829</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>1.454</td>\n",
+       "      <td>2.175</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.245</td>\n",
-       "      <td>0.039</td>\n",
-       "      <td>1.175</td>\n",
-       "      <td>1.320</td>\n",
+       "      <td>1.203</td>\n",
+       "      <td>0.041</td>\n",
+       "      <td>1.126</td>\n",
+       "      <td>1.281</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.107</td>\n",
-       "      <td>0.060</td>\n",
-       "      <td>2.991</td>\n",
-       "      <td>3.220</td>\n",
+       "      <td>3.104</td>\n",
+       "      <td>0.062</td>\n",
+       "      <td>2.992</td>\n",
+       "      <td>3.223</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1214,15 +1169,14 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt      -0.012  0.025  -0.058    0.037    1.0\n",
-       "              beta_[trt]      2.371  0.133   2.119    2.618    1.0\n",
-       "              beta_[x1]       1.235  0.067   1.107    1.360    1.0\n",
-       "              beta_ps[0]    -14.669  0.294 -15.217  -14.112    1.0\n",
-       "              beta_ps[1]     -0.060  0.240  -0.502    0.407    1.0\n",
-       "              alpha_outcome   8.132  0.149   7.855    8.411    1.0\n",
-       "2-stage-model beta_[trt]      1.976  0.260   1.476    2.464    1.0\n",
-       "              beta_[x1]       1.245  0.039   1.175    1.320    1.0\n",
-       "              alpha_outcome   3.107  0.060   2.991    3.220    1.0"
+       "1-stage-model alpha_trt      -0.019  0.021  -0.061    0.020    1.0\n",
+       "              beta_[trt]      2.394  0.057   2.290    2.507    1.0\n",
+       "              beta_[x1]       1.283  0.071   1.151    1.418    1.0\n",
+       "              beta_ps       -15.354  0.295 -15.915  -14.796    1.0\n",
+       "              alpha_outcome   8.416  0.161   8.109    8.714    1.0\n",
+       "2-stage-model beta_[trt]      1.829  0.193   1.454    2.175    1.0\n",
+       "              beta_[x1]       1.203  0.041   1.126    1.281    1.0\n",
+       "              alpha_outcome   3.104  0.062   2.992    3.223    1.0"
       ]
      },
      "execution_count": 7,
@@ -1715,13 +1669,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.22 , 0.298, 0.369, 0.433, 0.491, 0.553, 0.619, 0.695, 0.78 ])\n",
+       "array([0.222, 0.303, 0.374, 0.435, 0.498, 0.555, 0.618, 0.687, 0.772])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-57f8f595-8f10-4e25-8e58-ee0bf7ffe728' class='xr-array-in' type='checkbox' checked><label for='section-57f8f595-8f10-4e25-8e58-ee0bf7ffe728' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.22 0.298 0.369 0.433 0.491 0.553 0.619 0.695 0.78</span></div><div class='xr-array-data'><pre>array([0.22 , 0.298, 0.369, 0.433, 0.491, 0.553, 0.619, 0.695, 0.78 ])</pre></div></div></li><li class='xr-section-item'><input id='section-8974dbf1-b1df-4d6b-99c3-3e01a3400adc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8974dbf1-b1df-4d6b-99c3-3e01a3400adc' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-142cc305-af33-4590-a0bf-06ec3640a500' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-142cc305-af33-4590-a0bf-06ec3640a500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83df7d9e-0d11-4e02-96e0-9fb5410c5278' class='xr-var-data-in' type='checkbox'><label for='data-83df7d9e-0d11-4e02-96e0-9fb5410c5278' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e86d485-0e32-4fd4-a741-c1d43ccf7120' class='xr-section-summary-in' type='checkbox'  ><label for='section-1e86d485-0e32-4fd4-a741-c1d43ccf7120' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2241503d-f61b-4ebb-85b9-767c8f801ceb' class='xr-index-data-in' type='checkbox'/><label for='index-2241503d-f61b-4ebb-85b9-767c8f801ceb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d789cc48-e1f9-4451-be6b-2981aa44f278' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d789cc48-e1f9-4451-be6b-2981aa44f278' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1b367508-4ac4-49b0-8acc-45ad41002db4' class='xr-array-in' type='checkbox' checked><label for='section-1b367508-4ac4-49b0-8acc-45ad41002db4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.222 0.303 0.374 0.435 0.498 0.555 0.618 0.687 0.772</span></div><div class='xr-array-data'><pre>array([0.222, 0.303, 0.374, 0.435, 0.498, 0.555, 0.618, 0.687, 0.772])</pre></div></div></li><li class='xr-section-item'><input id='section-14d1e0d0-9e30-42ae-b4a0-2d055f3933f4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-14d1e0d0-9e30-42ae-b4a0-2d055f3933f4' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-80075218-b730-4a14-a83f-ebbf12250ecc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80075218-b730-4a14-a83f-ebbf12250ecc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dcda304-5239-4688-a75a-df7e593f161d' class='xr-var-data-in' type='checkbox'><label for='data-9dcda304-5239-4688-a75a-df7e593f161d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8013f001-6cfa-4486-8338-f2283b883580' class='xr-section-summary-in' type='checkbox'  ><label for='section-8013f001-6cfa-4486-8338-f2283b883580' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-051be4be-1186-4949-8f7b-cf91c3bb0261' class='xr-index-data-in' type='checkbox'/><label for='index-051be4be-1186-4949-8f7b-cf91c3bb0261' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c46d91c-45c2-46ef-a98f-9933be7042c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c46d91c-45c2-46ef-a98f-9933be7042c7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.22 , 0.298, 0.369, 0.433, 0.491, 0.553, 0.619, 0.695, 0.78 ])\n",
+       "array([0.222, 0.303, 0.374, 0.435, 0.498, 0.555, 0.618, 0.687, 0.772])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -2198,13 +2152,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.   , 0.002, 0.016, 0.107, 0.495, 0.864, 0.978, 0.999, 1.   ])\n",
+       "array([0.   , 0.001, 0.016, 0.134, 0.557, 0.905, 0.988, 0.999, 1.   ])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-47977c89-aa43-4116-aa29-0cf29d22ec82' class='xr-array-in' type='checkbox' checked><label for='section-47977c89-aa43-4116-aa29-0cf29d22ec82' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.002 0.016 0.107 0.495 0.864 0.978 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.002, 0.016, 0.107, 0.495, 0.864, 0.978, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-f04ba5ef-3ddc-49e5-bce9-0b3ccda7189a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f04ba5ef-3ddc-49e5-bce9-0b3ccda7189a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-8766e2fb-38de-4fc1-9ecc-76036e047fc5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8766e2fb-38de-4fc1-9ecc-76036e047fc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35cfb98a-6d2b-4b6e-8153-c0ee8cfb46ae' class='xr-var-data-in' type='checkbox'><label for='data-35cfb98a-6d2b-4b6e-8153-c0ee8cfb46ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-352f4a2b-c381-400e-9048-a51f5b480233' class='xr-section-summary-in' type='checkbox'  ><label for='section-352f4a2b-c381-400e-9048-a51f5b480233' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-da9a3c05-1708-4d97-8816-d2bac678a765' class='xr-index-data-in' type='checkbox'/><label for='index-da9a3c05-1708-4d97-8816-d2bac678a765' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-072c4405-4f8e-4785-90a1-c08d0d9fef20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-072c4405-4f8e-4785-90a1-c08d0d9fef20' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-265b64d9-fea1-43ef-875d-3d1fe56c5477' class='xr-array-in' type='checkbox' checked><label for='section-265b64d9-fea1-43ef-875d-3d1fe56c5477' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.016 0.134 0.557 0.905 0.988 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.016, 0.134, 0.557, 0.905, 0.988, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-7a80e1c3-6958-410f-923b-796249e0a2dd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a80e1c3-6958-410f-923b-796249e0a2dd' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-a7d88351-4412-4dd2-96ec-658fa8d2f3f4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7d88351-4412-4dd2-96ec-658fa8d2f3f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df5ecbdd-04e7-44d6-9ce2-3165215526bd' class='xr-var-data-in' type='checkbox'><label for='data-df5ecbdd-04e7-44d6-9ce2-3165215526bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f906fcf-8574-4c74-be14-c07cdc07c713' class='xr-section-summary-in' type='checkbox'  ><label for='section-0f906fcf-8574-4c74-be14-c07cdc07c713' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-534a9b35-a7ff-48b2-af20-f242f1b92de5' class='xr-index-data-in' type='checkbox'/><label for='index-534a9b35-a7ff-48b2-af20-f242f1b92de5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3198d9cb-b1a0-4c79-8078-7b793b14144c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3198d9cb-b1a0-4c79-8078-7b793b14144c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.   , 0.002, 0.016, 0.107, 0.495, 0.864, 0.978, 0.999, 1.   ])\n",
+       "array([0.   , 0.001, 0.016, 0.134, 0.557, 0.905, 0.988, 0.999, 1.   ])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -2220,6 +2174,68 @@
     ").round(3)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Comparing Propensity Score Skew\n",
+    "\n",
+    "We have seen how the treatment effect reported by both models differ and that the joint model exhibits a bias away from the true treatment effect. But we might want to see how this bias manifests in the propensity score distribution. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def compare_prop_dists(idata_2s, idata_1s):\n",
+    "    fig, ax = plt.subplots(figsize=(10, 4))\n",
+    "    for i in range(100):\n",
+    "        s2 = idata_2s[\"posterior\"].stack(z=(\"chain\", \"draw\"))[\"p\"][:, i]\n",
+    "        s1 = idata_1s[\"posterior\"].stack(z=(\"chain\", \"draw\"))[\"p\"][:, i]\n",
+    "        if i == 0:\n",
+    "            ax.hist(\n",
+    "                s2, alpha=0.1, color=\"red\", label=\"Propensity Scores 2-stage Estimation\"\n",
+    "            )\n",
+    "            # Pivoted to compare shape\n",
+    "            ax.hist(\n",
+    "                1 - s1,\n",
+    "                alpha=0.1,\n",
+    "                color=\"blue\",\n",
+    "                label=\"Propensity Scores 1-stage Estimation\",\n",
+    "            )\n",
+    "        else:\n",
+    "            ax.hist(s2, alpha=0.01, color=\"red\")\n",
+    "            # Pivoted to compare shape\n",
+    "            ax.hist(1 - s1, alpha=0.01, color=\"blue\")\n",
+    "    ax.legend()\n",
+    "    ax.set_title(\n",
+    "        \"Comparing Propensity Distributions \\n Two-stage and Joint Estimation routines\"\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "compare_prop_dists(idata_treatment_2s_joint, idata_joint)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "These are radically different models due to the feedback mechanism. How does this phenomena play out in some real world examples?"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -2231,7 +2247,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2251,7 +2267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -2264,7 +2280,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3d15940c1c884c0f9442deda32bc56b4",
+       "model_id": "feb411c85120496896e372c3537eec8d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2295,7 +2311,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c6399d91ecc44f6581e9c124cb4553b0",
+       "model_id": "4732371292ec470891f9809269b4b508",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2342,7 +2358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -2792,14 +2808,14 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(3.24011481)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fc47ca06-36dc-4475-9f9b-f4350d2ba53f' class='xr-array-in' type='checkbox' checked><label for='section-fc47ca06-36dc-4475-9f9b-f4350d2ba53f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.24</span></div><div class='xr-array-data'><pre>array(3.24011481)</pre></div></div></li><li class='xr-section-item'><input id='section-4839fc56-31db-48ad-940c-5f63c339810c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4839fc56-31db-48ad-940c-5f63c339810c' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8eb53b2e-7403-4bad-9e09-1e5494059deb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8eb53b2e-7403-4bad-9e09-1e5494059deb' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9c014a25-66c7-45e0-bf93-1a2e92f4c75c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c014a25-66c7-45e0-bf93-1a2e92f4c75c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(3.17378714)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2795a7cb-ba21-4350-96ae-552ec96ed389' class='xr-array-in' type='checkbox' checked><label for='section-2795a7cb-ba21-4350-96ae-552ec96ed389' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.174</span></div><div class='xr-array-data'><pre>array(3.17378714)</pre></div></div></li><li class='xr-section-item'><input id='section-724ff85f-0e87-4649-bc83-81dddfb019a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-724ff85f-0e87-4649-bc83-81dddfb019a3' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bab2ced0-232e-4837-994b-6c5379a48e8e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bab2ced0-232e-4837-994b-6c5379a48e8e' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3aaf5bf2-ed71-44c9-b229-f462939b0e8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3aaf5bf2-ed71-44c9-b229-f462939b0e8d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(3.24011481)"
+       "array(3.17378714)"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2817,7 +2833,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -3267,14 +3283,14 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(0.86890385)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-887d94b9-0353-4fc9-9b54-c5a76ce498e0' class='xr-array-in' type='checkbox' checked><label for='section-887d94b9-0353-4fc9-9b54-c5a76ce498e0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.8689</span></div><div class='xr-array-data'><pre>array(0.86890385)</pre></div></div></li><li class='xr-section-item'><input id='section-fc1e4f6a-7a74-43c6-9cb6-3cf8136d21f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc1e4f6a-7a74-43c6-9cb6-3cf8136d21f9' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-78df5daa-c2d4-446d-9046-a5e3a16e78b0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78df5daa-c2d4-446d-9046-a5e3a16e78b0' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7ae5536a-195a-47fc-95e7-349aa87479b3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ae5536a-195a-47fc-95e7-349aa87479b3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(0.78004051)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0efebe19-7693-4c14-aac2-bb0be7f2986b' class='xr-array-in' type='checkbox' checked><label for='section-0efebe19-7693-4c14-aac2-bb0be7f2986b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.78</span></div><div class='xr-array-data'><pre>array(0.78004051)</pre></div></div></li><li class='xr-section-item'><input id='section-e93fa7bc-fbfc-4425-9cfa-103f5822b8fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e93fa7bc-fbfc-4425-9cfa-103f5822b8fc' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c9d49397-7800-4623-8947-54f466418997' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c9d49397-7800-4623-8947-54f466418997' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-eafc2d05-1438-4fc2-9cdc-b89b746a20f6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eafc2d05-1438-4fc2-9cdc-b89b746a20f6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(0.86890385)"
+       "array(0.78004051)"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3292,7 +3308,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -3742,14 +3758,14 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(2.37121096)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3c668b8d-93d6-4cc0-9619-815aef2293a9' class='xr-array-in' type='checkbox' checked><label for='section-3c668b8d-93d6-4cc0-9619-815aef2293a9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.371</span></div><div class='xr-array-data'><pre>array(2.37121096)</pre></div></div></li><li class='xr-section-item'><input id='section-50e36afc-7bc1-480f-9458-da36016bdee7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-50e36afc-7bc1-480f-9458-da36016bdee7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7fe15d7f-534c-4720-81b8-0bd456ac7dae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7fe15d7f-534c-4720-81b8-0bd456ac7dae' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ab36f2e1-1ed2-45ae-bdd6-dcf02995fed0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ab36f2e1-1ed2-45ae-bdd6-dcf02995fed0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(2.39374663)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6116b709-7dc9-43a5-bb9a-e6208218ca4d' class='xr-array-in' type='checkbox' checked><label for='section-6116b709-7dc9-43a5-bb9a-e6208218ca4d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.394</span></div><div class='xr-array-data'><pre>array(2.39374663)</pre></div></div></li><li class='xr-section-item'><input id='section-2e31bf76-e284-400e-8d17-04168cb70ecc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e31bf76-e284-400e-8d17-04168cb70ecc' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b79d91c3-2b7b-44df-9bf9-a2a0e1411c79' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b79d91c3-2b7b-44df-9bf9-a2a0e1411c79' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c058b1e4-77f8-469f-be79-a7ca97d063e6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c058b1e4-77f8-469f-be79-a7ca97d063e6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(2.37121096)"
+       "array(2.39374663)"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3765,69 +3781,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this way we can impute potential outcomes gain insight into any variety of causal estimands we care to calculate. In this case we can see what we derived above that the joint model yields a biased treatment effect estimate. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Comparing Propensity Score Skew\n",
-    "\n",
-    "We have seen how the treatment effect reported by both models differ and that the joint model exhibits a bias away from the true treatment effect. But we might want to see how this bias manifests in the propensity score distribution. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def compare_prop_dists(idata_2s, idata_1s):\n",
-    "    fig, ax = plt.subplots(figsize=(10, 4))\n",
-    "    for i in range(100):\n",
-    "        s2 = idata_2s[\"posterior\"].stack(z=(\"chain\", \"draw\"))[\"p\"][:, i]\n",
-    "        s1 = idata_1s[\"posterior\"].stack(z=(\"chain\", \"draw\"))[\"p\"][:, i]\n",
-    "        if i == 0:\n",
-    "            ax.hist(\n",
-    "                s2, alpha=0.1, color=\"red\", label=\"Propensity Scores 2-stage Estimation\"\n",
-    "            )\n",
-    "            # Pivoted to compare shape\n",
-    "            ax.hist(\n",
-    "                1 - s1,\n",
-    "                alpha=0.1,\n",
-    "                color=\"blue\",\n",
-    "                label=\"Propensity Scores 1-stage Estimation\",\n",
-    "            )\n",
-    "        else:\n",
-    "            ax.hist(s2, alpha=0.01, color=\"red\")\n",
-    "            # Pivoted to compare shape\n",
-    "            ax.hist(1 - s1, alpha=0.01, color=\"blue\")\n",
-    "    ax.legend()\n",
-    "    ax.set_title(\n",
-    "        \"Comparing Propensity Distributions \\n Two-stage and Joint Estimation routines\"\n",
-    "    )\n",
-    "\n",
-    "\n",
-    "compare_prop_dists(idata_treatment_2s_joint, idata_joint)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "These are radically different models due to the feedback mechanism. How does this phenomena play out in some real world examples?"
+    "In this way we can impute potential outcomes gain insight into any variety of causal estimands we care to calculate. In this case, we have re-derived the insight that the joint model yields a biased treatment effect estimate. "
    ]
   },
   {
@@ -4115,7 +4069,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "286bfe4bdcb2466fb7c8ebf7a73959b4",
+       "model_id": "23a8313d8d8c491eb87adc3af78e5aee",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4140,7 +4094,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 16 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 11 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -4152,7 +4106,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c31bd2da1ca74af9be0bed531dc06136",
+       "model_id": "fc99fe99314f43d2ac96d777cfef352a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4187,7 +4141,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5c9d36b85026491388ebad0df52c752d",
+       "model_id": "2c6fafcb6d64497895fb93dd6015bb31",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4212,7 +4166,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n"
      ]
     }
    ],
@@ -4264,7 +4218,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4329,93 +4283,77 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.260</td>\n",
+       "      <td>-0.259</td>\n",
        "      <td>0.051</td>\n",
-       "      <td>-0.357</td>\n",
-       "      <td>-0.168</td>\n",
+       "      <td>-0.359</td>\n",
+       "      <td>-0.166</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.048</td>\n",
-       "      <td>0.461</td>\n",
-       "      <td>-10.911</td>\n",
-       "      <td>-9.192</td>\n",
+       "      <td>-9.964</td>\n",
+       "      <td>0.269</td>\n",
+       "      <td>-10.497</td>\n",
+       "      <td>-9.496</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.148</td>\n",
-       "      <td>0.226</td>\n",
-       "      <td>-10.561</td>\n",
-       "      <td>-9.723</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>-16.308</td>\n",
-       "      <td>0.709</td>\n",
-       "      <td>-17.663</td>\n",
-       "      <td>-14.996</td>\n",
+       "      <td>-10.157</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>-10.579</td>\n",
+       "      <td>-9.767</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>0.179</td>\n",
-       "      <td>0.864</td>\n",
-       "      <td>-1.389</td>\n",
-       "      <td>1.816</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-16.257</td>\n",
+       "      <td>0.650</td>\n",
+       "      <td>-17.524</td>\n",
+       "      <td>-15.099</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.732</td>\n",
-       "      <td>0.419</td>\n",
-       "      <td>45.947</td>\n",
-       "      <td>47.526</td>\n",
+       "      <td>46.714</td>\n",
+       "      <td>0.394</td>\n",
+       "      <td>46.026</td>\n",
+       "      <td>47.500</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"5\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.647</td>\n",
-       "      <td>0.462</td>\n",
-       "      <td>-10.567</td>\n",
-       "      <td>-8.839</td>\n",
+       "      <td>-10.108</td>\n",
+       "      <td>0.320</td>\n",
+       "      <td>-10.696</td>\n",
+       "      <td>-9.506</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.645</td>\n",
-       "      <td>0.188</td>\n",
-       "      <td>-11.001</td>\n",
-       "      <td>-10.300</td>\n",
+       "      <td>-10.629</td>\n",
+       "      <td>0.191</td>\n",
+       "      <td>-10.975</td>\n",
+       "      <td>-10.252</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>42.281</td>\n",
-       "      <td>0.416</td>\n",
-       "      <td>41.500</td>\n",
-       "      <td>43.058</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>-7.014</td>\n",
-       "      <td>0.942</td>\n",
-       "      <td>-8.859</td>\n",
-       "      <td>-5.304</td>\n",
+       "      <td>42.186</td>\n",
+       "      <td>0.424</td>\n",
+       "      <td>41.426</td>\n",
+       "      <td>43.017</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>-1.279</td>\n",
-       "      <td>0.881</td>\n",
-       "      <td>-2.882</td>\n",
-       "      <td>0.402</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-6.940</td>\n",
+       "      <td>0.965</td>\n",
+       "      <td>-8.787</td>\n",
+       "      <td>-5.170</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4424,17 +4362,15 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt      -0.260  0.051  -0.357   -0.168    1.0\n",
-       "              beta_[trt]    -10.048  0.461 -10.911   -9.192    1.0\n",
-       "              beta_[income] -10.148  0.226 -10.561   -9.723    1.0\n",
-       "              beta_ps[0]    -16.308  0.709 -17.663  -14.996    1.0\n",
-       "              beta_ps[1]      0.179  0.864  -1.389    1.816    1.0\n",
-       "              alpha_outcome  46.732  0.419  45.947   47.526    1.0\n",
-       "2-stage-model beta_[trt]     -9.647  0.462 -10.567   -8.839    1.0\n",
-       "              beta_[income] -10.645  0.188 -11.001  -10.300    1.0\n",
-       "              alpha_outcome  42.281  0.416  41.500   43.058    1.0\n",
-       "              beta_ps[0]     -7.014  0.942  -8.859   -5.304    1.0\n",
-       "              beta_ps[1]     -1.279  0.881  -2.882    0.402    1.0"
+       "1-stage-model alpha_trt      -0.259  0.051  -0.359   -0.166    1.0\n",
+       "              beta_[trt]     -9.964  0.269 -10.497   -9.496    1.0\n",
+       "              beta_[income] -10.157  0.216 -10.579   -9.767    1.0\n",
+       "              beta_ps       -16.257  0.650 -17.524  -15.099    1.0\n",
+       "              alpha_outcome  46.714  0.394  46.026   47.500    1.0\n",
+       "2-stage-model beta_[trt]    -10.108  0.320 -10.696   -9.506    1.0\n",
+       "              beta_[income] -10.629  0.191 -10.975  -10.252    1.0\n",
+       "              alpha_outcome  42.186  0.424  41.426   43.017    1.0\n",
+       "              beta_ps        -6.940  0.965  -8.787   -5.170    1.0"
       ]
      },
      "execution_count": 19,
@@ -4446,7 +4382,8 @@
     "compare_estimate = pd.concat(\n",
     "    {\n",
     "        \"1-stage-model\": az.summary(\n",
-    "            idata_net, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
+    "            idata_net,\n",
+    "            var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"],\n",
     "        ),\n",
     "        \"2-stage-model\": az.summary(\n",
     "            idata_outcome_2s_net, var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"]\n",
@@ -4915,13 +4852,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.728])\n",
+       "array([0.182, 0.25 , 0.311, 0.37 , 0.43 , 0.5  , 0.571, 0.642, 0.727])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0f252f02-51b6-4675-a553-e83e4a71b088' class='xr-array-in' type='checkbox' checked><label for='section-0f252f02-51b6-4675-a553-e83e4a71b088' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.249 0.31 0.37 0.43 0.501 0.572 0.643 0.728</span></div><div class='xr-array-data'><pre>array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.728])</pre></div></div></li><li class='xr-section-item'><input id='section-50d4cf69-deca-4500-bdfd-2d948713df8a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50d4cf69-deca-4500-bdfd-2d948713df8a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-fc32b7ae-2b4e-488e-9364-80a48f1291b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc32b7ae-2b4e-488e-9364-80a48f1291b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7569e19a-8b45-45e1-b16e-2f97c2c89424' class='xr-var-data-in' type='checkbox'><label for='data-7569e19a-8b45-45e1-b16e-2f97c2c89424' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c7ccfe8d-14f2-4ee2-ac26-ce5b5b367dd7' class='xr-section-summary-in' type='checkbox'  ><label for='section-c7ccfe8d-14f2-4ee2-ac26-ce5b5b367dd7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-39f82f8c-82fa-45be-834e-4de33216b915' class='xr-index-data-in' type='checkbox'/><label for='index-39f82f8c-82fa-45be-834e-4de33216b915' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e6de337-4c91-4a6d-acb2-a7440d64bd0c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e6de337-4c91-4a6d-acb2-a7440d64bd0c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2e394b11-e32f-49c6-a2cd-5dc6fa455bb5' class='xr-array-in' type='checkbox' checked><label for='section-2e394b11-e32f-49c6-a2cd-5dc6fa455bb5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.182 0.25 0.311 0.37 0.43 0.5 0.571 0.642 0.727</span></div><div class='xr-array-data'><pre>array([0.182, 0.25 , 0.311, 0.37 , 0.43 , 0.5  , 0.571, 0.642, 0.727])</pre></div></div></li><li class='xr-section-item'><input id='section-858e1a7d-fce7-4662-a3c3-574f3c3b990b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-858e1a7d-fce7-4662-a3c3-574f3c3b990b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-359fe43c-840b-46b7-88b1-35944294ecb8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-359fe43c-840b-46b7-88b1-35944294ecb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-293a9344-6be3-4a22-8ed0-575b88d96621' class='xr-var-data-in' type='checkbox'><label for='data-293a9344-6be3-4a22-8ed0-575b88d96621' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abc0be84-c7e5-4d6a-bccd-cc1898dc9131' class='xr-section-summary-in' type='checkbox'  ><label for='section-abc0be84-c7e5-4d6a-bccd-cc1898dc9131' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5fb272cd-e74b-4c6c-baf2-43c8c3d9863c' class='xr-index-data-in' type='checkbox'/><label for='index-5fb272cd-e74b-4c6c-baf2-43c8c3d9863c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8dfba77-6086-497b-9f94-e67f8316e079' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b8dfba77-6086-497b-9f94-e67f8316e079' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.728])\n",
+       "array([0.182, 0.25 , 0.311, 0.37 , 0.43 , 0.5  , 0.571, 0.642, 0.727])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -5396,13 +5333,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.238, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
+       "array([0.239, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5c3a14d2-ad26-4527-957e-f2752eefd053' class='xr-array-in' type='checkbox' checked><label for='section-5c3a14d2-ad26-4527-957e-f2752eefd053' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.238 0.282 0.317 0.348 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.238, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-b5492a5a-685d-427d-accf-ca36a3a46edc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5492a5a-685d-427d-accf-ca36a3a46edc' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-cc43098c-b6d2-4877-94e1-4afa802e633b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc43098c-b6d2-4877-94e1-4afa802e633b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f0b2463-5238-40a8-8f03-a06b68bfbef5' class='xr-var-data-in' type='checkbox'><label for='data-7f0b2463-5238-40a8-8f03-a06b68bfbef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-424c223f-48f8-42bd-8bdb-4ccd83da646e' class='xr-section-summary-in' type='checkbox'  ><label for='section-424c223f-48f8-42bd-8bdb-4ccd83da646e' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e3d798a3-d911-4ab3-9849-ca228bb6fd69' class='xr-index-data-in' type='checkbox'/><label for='index-e3d798a3-d911-4ab3-9849-ca228bb6fd69' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5167e606-8297-4d21-b7ad-70669c510e62' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5167e606-8297-4d21-b7ad-70669c510e62' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fe9ca6d5-c11b-4572-a434-393cd3713b7e' class='xr-array-in' type='checkbox' checked><label for='section-fe9ca6d5-c11b-4572-a434-393cd3713b7e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.282 0.317 0.348 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-a336d4a4-6b3d-413d-8913-9a337370186b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a336d4a4-6b3d-413d-8913-9a337370186b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-17edd50c-1155-4d65-8157-9630c2fef18a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17edd50c-1155-4d65-8157-9630c2fef18a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-833fc2b9-c5e4-4e1f-ace5-ce3503e603d0' class='xr-var-data-in' type='checkbox'><label for='data-833fc2b9-c5e4-4e1f-ace5-ce3503e603d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce67a935-58dc-4e04-b4f2-7c558f31dac0' class='xr-section-summary-in' type='checkbox'  ><label for='section-ce67a935-58dc-4e04-b4f2-7c558f31dac0' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-43ab33ac-7e23-403d-8bd8-7170ea0b4463' class='xr-index-data-in' type='checkbox'/><label for='index-43ab33ac-7e23-403d-8bd8-7170ea0b4463' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82214ca8-8833-4afb-818f-e8741648e0cc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82214ca8-8833-4afb-818f-e8741648e0cc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.238, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
+       "array([0.239, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -5425,7 +5362,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5655,7 +5592,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f4ec690ccd9c4d53af396b885d75d64c",
+       "model_id": "00003d35622f47f9b9a4bca0f4b00ebc",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5670,6 +5607,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
@@ -5690,7 +5629,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 9 seconds.\n",
+      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 8 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -5702,7 +5641,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f3135d4e211c4d218812d76d51dca9be",
+       "model_id": "c20432f353a945ca9630ace61f076c61",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5727,7 +5666,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 10 seconds.\n",
       "Sampling: [alpha_outcome, beta_, beta_ps, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -5737,7 +5676,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "860c9c2cc7b4475e919c9187852aa6e6",
+       "model_id": "7feeadecbafd4342bc28644b1d93ae15",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5748,14 +5687,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -5770,7 +5701,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n"
      ]
     }
    ],
@@ -5825,7 +5756,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5882,189 +5813,173 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"12\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"11\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.333</td>\n",
-       "      <td>0.137</td>\n",
-       "      <td>-1.578</td>\n",
-       "      <td>-1.072</td>\n",
+       "      <td>-1.330</td>\n",
+       "      <td>0.131</td>\n",
+       "      <td>-1.571</td>\n",
+       "      <td>-1.084</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>926.915</td>\n",
-       "      <td>692.921</td>\n",
-       "      <td>-345.103</td>\n",
-       "      <td>2259.967</td>\n",
+       "      <td>929.219</td>\n",
+       "      <td>700.280</td>\n",
+       "      <td>-379.917</td>\n",
+       "      <td>2233.618</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>30.099</td>\n",
-       "      <td>25.814</td>\n",
-       "      <td>-18.420</td>\n",
-       "      <td>77.649</td>\n",
+       "      <td>29.835</td>\n",
+       "      <td>25.736</td>\n",
+       "      <td>-18.474</td>\n",
+       "      <td>78.330</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>290.983</td>\n",
-       "      <td>71.761</td>\n",
-       "      <td>157.873</td>\n",
-       "      <td>421.534</td>\n",
+       "      <td>290.806</td>\n",
+       "      <td>70.929</td>\n",
+       "      <td>151.366</td>\n",
+       "      <td>419.420</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>1650.245</td>\n",
-       "      <td>895.241</td>\n",
-       "      <td>-9.516</td>\n",
-       "      <td>3311.423</td>\n",
+       "      <td>1636.748</td>\n",
+       "      <td>871.987</td>\n",
+       "      <td>-77.031</td>\n",
+       "      <td>3181.353</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1256.242</td>\n",
-       "      <td>683.217</td>\n",
-       "      <td>-58.962</td>\n",
-       "      <td>2497.228</td>\n",
+       "      <td>1246.136</td>\n",
+       "      <td>672.070</td>\n",
+       "      <td>-58.491</td>\n",
+       "      <td>2451.236</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2065.057</td>\n",
-       "      <td>587.627</td>\n",
-       "      <td>974.308</td>\n",
-       "      <td>3175.766</td>\n",
+       "      <td>2083.568</td>\n",
+       "      <td>598.494</td>\n",
+       "      <td>1025.254</td>\n",
+       "      <td>3241.102</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-1103.199</td>\n",
-       "      <td>516.867</td>\n",
-       "      <td>-2098.378</td>\n",
-       "      <td>-136.237</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.000</td>\n",
-       "      <td>1.002</td>\n",
-       "      <td>-1.877</td>\n",
-       "      <td>1.882</td>\n",
+       "      <td>-1087.876</td>\n",
+       "      <td>508.914</td>\n",
+       "      <td>-2036.595</td>\n",
+       "      <td>-144.515</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>0.002</td>\n",
-       "      <td>1.050</td>\n",
-       "      <td>-1.964</td>\n",
-       "      <td>1.974</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-0.004</td>\n",
+       "      <td>0.982</td>\n",
+       "      <td>-1.716</td>\n",
+       "      <td>1.957</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1786.561</td>\n",
-       "      <td>491.016</td>\n",
-       "      <td>847.880</td>\n",
-       "      <td>2652.520</td>\n",
+       "      <td>1788.026</td>\n",
+       "      <td>494.635</td>\n",
+       "      <td>881.826</td>\n",
+       "      <td>2728.994</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6439.256</td>\n",
-       "      <td>146.914</td>\n",
-       "      <td>6176.871</td>\n",
-       "      <td>6721.663</td>\n",
+       "      <td>6435.648</td>\n",
+       "      <td>149.666</td>\n",
+       "      <td>6162.281</td>\n",
+       "      <td>6720.479</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"11\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"10\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>948.588</td>\n",
-       "      <td>691.081</td>\n",
-       "      <td>-239.413</td>\n",
-       "      <td>2351.645</td>\n",
+       "      <td>918.588</td>\n",
+       "      <td>706.084</td>\n",
+       "      <td>-448.316</td>\n",
+       "      <td>2194.279</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>30.326</td>\n",
-       "      <td>25.333</td>\n",
-       "      <td>-18.342</td>\n",
-       "      <td>78.132</td>\n",
+       "      <td>30.251</td>\n",
+       "      <td>25.780</td>\n",
+       "      <td>-20.254</td>\n",
+       "      <td>77.792</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[educ]</th>\n",
-       "      <td>287.274</td>\n",
-       "      <td>71.154</td>\n",
-       "      <td>156.950</td>\n",
-       "      <td>425.099</td>\n",
+       "      <td>291.363</td>\n",
+       "      <td>72.018</td>\n",
+       "      <td>146.006</td>\n",
+       "      <td>416.194</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[hispan]</th>\n",
-       "      <td>1635.510</td>\n",
-       "      <td>875.386</td>\n",
-       "      <td>5.781</td>\n",
-       "      <td>3317.593</td>\n",
+       "      <td>1616.181</td>\n",
+       "      <td>870.522</td>\n",
+       "      <td>-70.641</td>\n",
+       "      <td>3185.314</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[white]</th>\n",
-       "      <td>1255.931</td>\n",
-       "      <td>680.717</td>\n",
-       "      <td>28.430</td>\n",
-       "      <td>2576.112</td>\n",
+       "      <td>1223.107</td>\n",
+       "      <td>688.867</td>\n",
+       "      <td>-74.421</td>\n",
+       "      <td>2530.206</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2080.664</td>\n",
-       "      <td>595.085</td>\n",
-       "      <td>983.510</td>\n",
-       "      <td>3221.950</td>\n",
+       "      <td>2086.829</td>\n",
+       "      <td>600.523</td>\n",
+       "      <td>921.474</td>\n",
+       "      <td>3163.427</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-1095.913</td>\n",
-       "      <td>517.034</td>\n",
-       "      <td>-2101.728</td>\n",
-       "      <td>-159.452</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.993</td>\n",
-       "      <td>-1.895</td>\n",
-       "      <td>1.824</td>\n",
+       "      <td>-1097.309</td>\n",
+       "      <td>517.643</td>\n",
+       "      <td>-2044.014</td>\n",
+       "      <td>-99.083</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>-0.009</td>\n",
-       "      <td>1.020</td>\n",
-       "      <td>-1.946</td>\n",
-       "      <td>1.890</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-0.004</td>\n",
+       "      <td>1.014</td>\n",
+       "      <td>-1.933</td>\n",
+       "      <td>1.878</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1805.474</td>\n",
-       "      <td>480.786</td>\n",
-       "      <td>920.168</td>\n",
-       "      <td>2719.070</td>\n",
+       "      <td>1791.350</td>\n",
+       "      <td>486.413</td>\n",
+       "      <td>889.301</td>\n",
+       "      <td>2701.627</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6436.702</td>\n",
-       "      <td>146.785</td>\n",
-       "      <td>6161.338</td>\n",
-       "      <td>6715.592</td>\n",
+       "      <td>6435.947</td>\n",
+       "      <td>148.118</td>\n",
+       "      <td>6164.476</td>\n",
+       "      <td>6714.604</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6073,29 +5988,27 @@
       ],
       "text/plain": [
        "                                   mean       sd    hdi_3%   hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt          -1.333    0.137    -1.578    -1.072    1.0\n",
-       "              beta_[treat]      926.915  692.921  -345.103  2259.967    1.0\n",
-       "              beta_[age]         30.099   25.814   -18.420    77.649    1.0\n",
-       "              beta_[educ]       290.983   71.761   157.873   421.534    1.0\n",
-       "              beta_[hispan]    1650.245  895.241    -9.516  3311.423    1.0\n",
-       "              beta_[white]     1256.242  683.217   -58.962  2497.228    1.0\n",
-       "              beta_[married]   2065.057  587.627   974.308  3175.766    1.0\n",
-       "              beta_[nodegree] -1103.199  516.867 -2098.378  -136.237    1.0\n",
-       "              beta_ps[0]         -0.000    1.002    -1.877     1.882    1.0\n",
-       "              beta_ps[1]          0.002    1.050    -1.964     1.974    1.0\n",
-       "              alpha_outcome    1786.561  491.016   847.880  2652.520    1.0\n",
-       "              sigma            6439.256  146.914  6176.871  6721.663    1.0\n",
-       "2-stage-model beta_[treat]      948.588  691.081  -239.413  2351.645    1.0\n",
-       "              beta_[age]         30.326   25.333   -18.342    78.132    1.0\n",
-       "              beta_[educ]       287.274   71.154   156.950   425.099    1.0\n",
-       "              beta_[hispan]    1635.510  875.386     5.781  3317.593    1.0\n",
-       "              beta_[white]     1255.931  680.717    28.430  2576.112    1.0\n",
-       "              beta_[married]   2080.664  595.085   983.510  3221.950    1.0\n",
-       "              beta_[nodegree] -1095.913  517.034 -2101.728  -159.452    1.0\n",
-       "              beta_ps[0]          0.001    0.993    -1.895     1.824    1.0\n",
-       "              beta_ps[1]         -0.009    1.020    -1.946     1.890    1.0\n",
-       "              alpha_outcome    1805.474  480.786   920.168  2719.070    1.0\n",
-       "              sigma            6436.702  146.785  6161.338  6715.592    1.0"
+       "1-stage-model alpha_trt          -1.330    0.131    -1.571    -1.084    1.0\n",
+       "              beta_[treat]      929.219  700.280  -379.917  2233.618    1.0\n",
+       "              beta_[age]         29.835   25.736   -18.474    78.330    1.0\n",
+       "              beta_[educ]       290.806   70.929   151.366   419.420    1.0\n",
+       "              beta_[hispan]    1636.748  871.987   -77.031  3181.353    1.0\n",
+       "              beta_[white]     1246.136  672.070   -58.491  2451.236    1.0\n",
+       "              beta_[married]   2083.568  598.494  1025.254  3241.102    1.0\n",
+       "              beta_[nodegree] -1087.876  508.914 -2036.595  -144.515    1.0\n",
+       "              beta_ps            -0.004    0.982    -1.716     1.957    1.0\n",
+       "              alpha_outcome    1788.026  494.635   881.826  2728.994    1.0\n",
+       "              sigma            6435.648  149.666  6162.281  6720.479    1.0\n",
+       "2-stage-model beta_[treat]      918.588  706.084  -448.316  2194.279    1.0\n",
+       "              beta_[age]         30.251   25.780   -20.254    77.792    1.0\n",
+       "              beta_[educ]       291.363   72.018   146.006   416.194    1.0\n",
+       "              beta_[hispan]    1616.181  870.522   -70.641  3185.314    1.0\n",
+       "              beta_[white]     1223.107  688.867   -74.421  2530.206    1.0\n",
+       "              beta_[married]   2086.829  600.523   921.474  3163.427    1.0\n",
+       "              beta_[nodegree] -1097.309  517.643 -2044.014   -99.083    1.0\n",
+       "              beta_ps            -0.004    1.014    -1.933     1.878    1.0\n",
+       "              alpha_outcome    1791.350  486.413   889.301  2701.627    1.0\n",
+       "              sigma            6435.947  148.118  6164.476  6714.604    1.0"
       ]
      },
      "execution_count": 27,
@@ -6133,7 +6046,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6288,7 +6201,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "edad27834c194bdc8d27910c74f00869",
+       "model_id": "174999a667974464be68e655a1e04126",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6299,6 +6212,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -6313,7 +6234,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 47 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 44 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -6325,7 +6246,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e59215224eb6419caee33e9e7578ea86",
+       "model_id": "5a2cabaf40ff4e3ca5b9f1afcf167b95",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6350,7 +6271,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 36 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 35 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -6360,7 +6281,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "59df72f639184d448ad0ff7ece36b74a",
+       "model_id": "afe27c59d1ca44558e63c3a94a0e939d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6375,8 +6296,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
@@ -6395,7 +6314,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
      ]
     }
    ],
@@ -6486,7 +6405,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6551,141 +6470,125 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"9\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"8\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.152</td>\n",
-       "      <td>0.062</td>\n",
-       "      <td>-1.276</td>\n",
-       "      <td>-1.042</td>\n",
+       "      <td>-1.153</td>\n",
+       "      <td>0.063</td>\n",
+       "      <td>-1.268</td>\n",
+       "      <td>-1.032</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.761</td>\n",
-       "      <td>0.458</td>\n",
-       "      <td>1.901</td>\n",
-       "      <td>3.608</td>\n",
+       "      <td>2.819</td>\n",
+       "      <td>0.405</td>\n",
+       "      <td>2.091</td>\n",
+       "      <td>3.607</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.228</td>\n",
-       "      <td>0.348</td>\n",
-       "      <td>-2.905</td>\n",
-       "      <td>-1.589</td>\n",
+       "      <td>-2.223</td>\n",
+       "      <td>0.352</td>\n",
+       "      <td>-2.888</td>\n",
+       "      <td>-1.562</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.308</td>\n",
-       "      <td>0.193</td>\n",
-       "      <td>-0.050</td>\n",
-       "      <td>0.672</td>\n",
+       "      <td>0.305</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>-0.038</td>\n",
+       "      <td>0.680</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.503</td>\n",
-       "      <td>0.339</td>\n",
-       "      <td>-0.134</td>\n",
-       "      <td>1.148</td>\n",
+       "      <td>0.498</td>\n",
+       "      <td>0.344</td>\n",
+       "      <td>-0.135</td>\n",
+       "      <td>1.159</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.186</td>\n",
-       "      <td>0.193</td>\n",
-       "      <td>-1.540</td>\n",
-       "      <td>-0.820</td>\n",
+       "      <td>-1.181</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-1.555</td>\n",
+       "      <td>-0.832</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.082</td>\n",
-       "      <td>0.324</td>\n",
-       "      <td>1.471</td>\n",
-       "      <td>2.695</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.640</td>\n",
-       "      <td>0.991</td>\n",
-       "      <td>-2.466</td>\n",
-       "      <td>1.248</td>\n",
+       "      <td>2.086</td>\n",
+       "      <td>0.325</td>\n",
+       "      <td>1.480</td>\n",
+       "      <td>2.693</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>0.241</td>\n",
-       "      <td>0.909</td>\n",
-       "      <td>-1.482</td>\n",
-       "      <td>1.896</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-0.626</td>\n",
+       "      <td>0.983</td>\n",
+       "      <td>-2.447</td>\n",
+       "      <td>1.205</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"8\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"7\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.704</td>\n",
-       "      <td>0.474</td>\n",
-       "      <td>1.819</td>\n",
-       "      <td>3.600</td>\n",
+       "      <td>2.815</td>\n",
+       "      <td>0.394</td>\n",
+       "      <td>2.077</td>\n",
+       "      <td>3.548</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.254</td>\n",
-       "      <td>0.357</td>\n",
-       "      <td>-2.912</td>\n",
-       "      <td>-1.565</td>\n",
+       "      <td>-2.247</td>\n",
+       "      <td>0.349</td>\n",
+       "      <td>-2.950</td>\n",
+       "      <td>-1.626</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.317</td>\n",
-       "      <td>0.193</td>\n",
-       "      <td>-0.046</td>\n",
-       "      <td>0.683</td>\n",
+       "      <td>0.312</td>\n",
+       "      <td>0.189</td>\n",
+       "      <td>-0.034</td>\n",
+       "      <td>0.672</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.515</td>\n",
-       "      <td>0.350</td>\n",
-       "      <td>-0.134</td>\n",
-       "      <td>1.175</td>\n",
+       "      <td>0.512</td>\n",
+       "      <td>0.343</td>\n",
+       "      <td>-0.129</td>\n",
+       "      <td>1.158</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.194</td>\n",
-       "      <td>0.189</td>\n",
-       "      <td>-1.543</td>\n",
-       "      <td>-0.833</td>\n",
+       "      <td>-1.184</td>\n",
+       "      <td>0.187</td>\n",
+       "      <td>-1.544</td>\n",
+       "      <td>-0.840</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.030</td>\n",
+       "      <td>2.067</td>\n",
        "      <td>0.313</td>\n",
-       "      <td>1.444</td>\n",
-       "      <td>2.615</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_ps[0]</th>\n",
-       "      <td>-0.442</td>\n",
-       "      <td>0.936</td>\n",
-       "      <td>-2.203</td>\n",
-       "      <td>1.325</td>\n",
+       "      <td>1.483</td>\n",
+       "      <td>2.653</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_ps[1]</th>\n",
-       "      <td>0.451</td>\n",
-       "      <td>0.937</td>\n",
-       "      <td>-1.311</td>\n",
-       "      <td>2.210</td>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-0.544</td>\n",
+       "      <td>0.927</td>\n",
+       "      <td>-2.363</td>\n",
+       "      <td>1.167</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6694,23 +6597,21 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt             -1.152  0.062  -1.276   -1.042    1.0\n",
-       "              beta_[trt]             2.761  0.458   1.901    3.608    1.0\n",
-       "              beta_[age]            -2.228  0.348  -2.905   -1.589    1.0\n",
-       "              beta_[smokeintensity]  0.308  0.193  -0.050    0.672    1.0\n",
-       "              beta_[smokeyrs]        0.503  0.339  -0.134    1.148    1.0\n",
-       "              beta_[wt71]           -1.186  0.193  -1.540   -0.820    1.0\n",
-       "              alpha_outcome          2.082  0.324   1.471    2.695    1.0\n",
-       "              beta_ps[0]            -0.640  0.991  -2.466    1.248    1.0\n",
-       "              beta_ps[1]             0.241  0.909  -1.482    1.896    1.0\n",
-       "2-stage-model beta_[trt]             2.704  0.474   1.819    3.600    1.0\n",
-       "              beta_[age]            -2.254  0.357  -2.912   -1.565    1.0\n",
-       "              beta_[smokeintensity]  0.317  0.193  -0.046    0.683    1.0\n",
-       "              beta_[smokeyrs]        0.515  0.350  -0.134    1.175    1.0\n",
-       "              beta_[wt71]           -1.194  0.189  -1.543   -0.833    1.0\n",
-       "              alpha_outcome          2.030  0.313   1.444    2.615    1.0\n",
-       "              beta_ps[0]            -0.442  0.936  -2.203    1.325    1.0\n",
-       "              beta_ps[1]             0.451  0.937  -1.311    2.210    1.0"
+       "1-stage-model alpha_trt             -1.153  0.063  -1.268   -1.032    1.0\n",
+       "              beta_[trt]             2.819  0.405   2.091    3.607    1.0\n",
+       "              beta_[age]            -2.223  0.352  -2.888   -1.562    1.0\n",
+       "              beta_[smokeintensity]  0.305  0.192  -0.038    0.680    1.0\n",
+       "              beta_[smokeyrs]        0.498  0.344  -0.135    1.159    1.0\n",
+       "              beta_[wt71]           -1.181  0.195  -1.555   -0.832    1.0\n",
+       "              alpha_outcome          2.086  0.325   1.480    2.693    1.0\n",
+       "              beta_ps               -0.626  0.983  -2.447    1.205    1.0\n",
+       "2-stage-model beta_[trt]             2.815  0.394   2.077    3.548    1.0\n",
+       "              beta_[age]            -2.247  0.349  -2.950   -1.626    1.0\n",
+       "              beta_[smokeintensity]  0.312  0.189  -0.034    0.672    1.0\n",
+       "              beta_[smokeyrs]        0.512  0.343  -0.129    1.158    1.0\n",
+       "              beta_[wt71]           -1.184  0.187  -1.544   -0.840    1.0\n",
+       "              alpha_outcome          2.067  0.313   1.483    2.653    1.0\n",
+       "              beta_ps               -0.544  0.927  -2.363    1.167    1.0"
       ]
      },
      "execution_count": 32,
@@ -6739,7 +6640,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6781,7 +6682,7 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x2832b2900>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x17e202120>"
       ]
      },
      "execution_count": 34,
@@ -6878,7 +6779,7 @@
       "NUTS: [beta_std, beta_ps, a_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n",
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 20 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 19 seconds.\n"
      ]
     }
    ],
@@ -6940,194 +6841,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
-       "      <td>0.024</td>\n",
-       "      <td>0.979</td>\n",
-       "      <td>-1.732</td>\n",
-       "      <td>1.937</td>\n",
+       "      <td>-0.011</td>\n",
+       "      <td>0.990</td>\n",
+       "      <td>-1.967</td>\n",
+       "      <td>1.761</td>\n",
        "      <td>0.014</td>\n",
        "      <td>0.010</td>\n",
-       "      <td>4766.0</td>\n",
-       "      <td>5633.0</td>\n",
+       "      <td>5159.0</td>\n",
+       "      <td>5553.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.005</td>\n",
-       "      <td>0.348</td>\n",
-       "      <td>-2.618</td>\n",
-       "      <td>-1.315</td>\n",
+       "      <td>-2.007</td>\n",
+       "      <td>0.353</td>\n",
+       "      <td>-2.699</td>\n",
+       "      <td>-1.370</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5205.0</td>\n",
-       "      <td>6095.0</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>5353.0</td>\n",
+       "      <td>6053.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>0.159</td>\n",
-       "      <td>0.204</td>\n",
-       "      <td>-0.223</td>\n",
-       "      <td>0.543</td>\n",
+       "      <td>0.162</td>\n",
+       "      <td>0.194</td>\n",
+       "      <td>-0.203</td>\n",
+       "      <td>0.521</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>10079.0</td>\n",
-       "      <td>6131.0</td>\n",
+       "      <td>8229.0</td>\n",
+       "      <td>6168.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-0.725</td>\n",
-       "      <td>0.216</td>\n",
-       "      <td>-1.125</td>\n",
-       "      <td>-0.305</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>-0.722</td>\n",
+       "      <td>0.219</td>\n",
+       "      <td>-1.128</td>\n",
+       "      <td>-0.303</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8236.0</td>\n",
-       "      <td>6838.0</td>\n",
+       "      <td>6875.0</td>\n",
+       "      <td>6242.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.215</td>\n",
-       "      <td>0.204</td>\n",
-       "      <td>-0.174</td>\n",
-       "      <td>0.594</td>\n",
+       "      <td>0.222</td>\n",
+       "      <td>0.197</td>\n",
+       "      <td>-0.152</td>\n",
+       "      <td>0.584</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8273.0</td>\n",
-       "      <td>5751.0</td>\n",
+       "      <td>8651.0</td>\n",
+       "      <td>6256.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.276</td>\n",
-       "      <td>0.351</td>\n",
-       "      <td>-0.380</td>\n",
-       "      <td>0.930</td>\n",
+       "      <td>0.275</td>\n",
+       "      <td>0.354</td>\n",
+       "      <td>-0.383</td>\n",
+       "      <td>0.935</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5290.0</td>\n",
-       "      <td>6061.0</td>\n",
+       "      <td>5300.0</td>\n",
+       "      <td>5483.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.449</td>\n",
+       "      <td>-1.448</td>\n",
        "      <td>0.204</td>\n",
-       "      <td>-1.852</td>\n",
-       "      <td>-1.077</td>\n",
+       "      <td>-1.846</td>\n",
+       "      <td>-1.083</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>10481.0</td>\n",
-       "      <td>6604.0</td>\n",
+       "      <td>8464.0</td>\n",
+       "      <td>6411.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.532</td>\n",
+       "      <td>-0.529</td>\n",
        "      <td>0.200</td>\n",
-       "      <td>-0.912</td>\n",
-       "      <td>-0.166</td>\n",
+       "      <td>-0.917</td>\n",
+       "      <td>-0.160</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8236.0</td>\n",
-       "      <td>5435.0</td>\n",
+       "      <td>7727.0</td>\n",
+       "      <td>5667.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.109</td>\n",
-       "      <td>0.201</td>\n",
-       "      <td>-0.475</td>\n",
-       "      <td>0.274</td>\n",
+       "      <td>-0.113</td>\n",
+       "      <td>0.196</td>\n",
+       "      <td>-0.458</td>\n",
+       "      <td>0.287</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8038.0</td>\n",
-       "      <td>5841.0</td>\n",
+       "      <td>9266.0</td>\n",
+       "      <td>6126.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.382</td>\n",
-       "      <td>0.238</td>\n",
-       "      <td>-0.064</td>\n",
-       "      <td>0.825</td>\n",
+       "      <td>0.389</td>\n",
+       "      <td>0.236</td>\n",
+       "      <td>-0.047</td>\n",
+       "      <td>0.836</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5509.0</td>\n",
-       "      <td>5720.0</td>\n",
+       "      <td>5158.0</td>\n",
+       "      <td>6085.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.360</td>\n",
-       "      <td>0.257</td>\n",
-       "      <td>-0.110</td>\n",
-       "      <td>0.848</td>\n",
+       "      <td>0.367</td>\n",
+       "      <td>0.260</td>\n",
+       "      <td>-0.089</td>\n",
+       "      <td>0.899</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>4918.0</td>\n",
-       "      <td>5491.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4911.0</td>\n",
+       "      <td>6181.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.361</td>\n",
-       "      <td>0.212</td>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>0.748</td>\n",
+       "      <td>0.365</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>-0.021</td>\n",
+       "      <td>0.786</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6438.0</td>\n",
-       "      <td>5787.0</td>\n",
+       "      <td>5407.0</td>\n",
+       "      <td>6062.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.031</td>\n",
-       "      <td>0.222</td>\n",
-       "      <td>-0.445</td>\n",
-       "      <td>0.387</td>\n",
+       "      <td>-0.024</td>\n",
+       "      <td>0.226</td>\n",
+       "      <td>-0.432</td>\n",
+       "      <td>0.405</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6171.0</td>\n",
-       "      <td>6474.0</td>\n",
+       "      <td>5665.0</td>\n",
+       "      <td>6216.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
        "      <td>0.175</td>\n",
        "      <td>0.252</td>\n",
-       "      <td>-0.288</td>\n",
-       "      <td>0.658</td>\n",
+       "      <td>-0.302</td>\n",
+       "      <td>0.644</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6537.0</td>\n",
-       "      <td>5953.0</td>\n",
+       "      <td>6162.0</td>\n",
+       "      <td>6370.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.199</td>\n",
+       "      <td>0.198</td>\n",
        "      <td>0.259</td>\n",
-       "      <td>-0.283</td>\n",
-       "      <td>0.685</td>\n",
+       "      <td>-0.272</td>\n",
+       "      <td>0.701</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6646.0</td>\n",
-       "      <td>6640.0</td>\n",
+       "      <td>6262.0</td>\n",
+       "      <td>6004.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.758</td>\n",
-       "      <td>0.458</td>\n",
-       "      <td>1.868</td>\n",
-       "      <td>3.585</td>\n",
-       "      <td>0.005</td>\n",
+       "      <td>2.791</td>\n",
+       "      <td>0.401</td>\n",
+       "      <td>2.051</td>\n",
+       "      <td>3.560</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>8248.0</td>\n",
-       "      <td>6248.0</td>\n",
+       "      <td>10226.0</td>\n",
+       "      <td>5394.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -7136,40 +7037,40 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]       0.024  0.979  -1.732    1.937      0.014    0.010   \n",
-       "beta_[age]            -2.005  0.348  -2.618   -1.315      0.005    0.003   \n",
-       "beta_[race]            0.159  0.204  -0.223    0.543      0.002    0.002   \n",
-       "beta_[sex]            -0.725  0.216  -1.125   -0.305      0.002    0.002   \n",
-       "beta_[smokeintensity]  0.215  0.204  -0.174    0.594      0.002    0.002   \n",
-       "beta_[smokeyrs]        0.276  0.351  -0.380    0.930      0.005    0.004   \n",
-       "beta_[wt71]           -1.449  0.204  -1.852   -1.077      0.002    0.002   \n",
-       "beta_[active_1]       -0.532  0.200  -0.912   -0.166      0.002    0.002   \n",
-       "beta_[active_2]       -0.109  0.201  -0.475    0.274      0.002    0.002   \n",
-       "beta_[education_2]     0.382  0.238  -0.064    0.825      0.003    0.002   \n",
-       "beta_[education_3]     0.360  0.257  -0.110    0.848      0.004    0.003   \n",
-       "beta_[education_4]     0.361  0.212  -0.047    0.748      0.003    0.002   \n",
-       "beta_[education_5]    -0.031  0.222  -0.445    0.387      0.003    0.002   \n",
-       "beta_[exercise_1]      0.175  0.252  -0.288    0.658      0.003    0.002   \n",
-       "beta_[exercise_2]      0.199  0.259  -0.283    0.685      0.003    0.002   \n",
-       "beta_[trt]             2.758  0.458   1.868    3.585      0.005    0.005   \n",
+       "beta_[Intercept]      -0.011  0.990  -1.967    1.761      0.014    0.010   \n",
+       "beta_[age]            -2.007  0.353  -2.699   -1.370      0.005    0.004   \n",
+       "beta_[race]            0.162  0.194  -0.203    0.521      0.002    0.002   \n",
+       "beta_[sex]            -0.722  0.219  -1.128   -0.303      0.003    0.002   \n",
+       "beta_[smokeintensity]  0.222  0.197  -0.152    0.584      0.002    0.002   \n",
+       "beta_[smokeyrs]        0.275  0.354  -0.383    0.935      0.005    0.004   \n",
+       "beta_[wt71]           -1.448  0.204  -1.846   -1.083      0.002    0.002   \n",
+       "beta_[active_1]       -0.529  0.200  -0.917   -0.160      0.002    0.002   \n",
+       "beta_[active_2]       -0.113  0.196  -0.458    0.287      0.002    0.002   \n",
+       "beta_[education_2]     0.389  0.236  -0.047    0.836      0.003    0.002   \n",
+       "beta_[education_3]     0.367  0.260  -0.089    0.899      0.004    0.002   \n",
+       "beta_[education_4]     0.365  0.216  -0.021    0.786      0.003    0.002   \n",
+       "beta_[education_5]    -0.024  0.226  -0.432    0.405      0.003    0.002   \n",
+       "beta_[exercise_1]      0.175  0.252  -0.302    0.644      0.003    0.002   \n",
+       "beta_[exercise_2]      0.198  0.259  -0.272    0.701      0.003    0.002   \n",
+       "beta_[trt]             2.791  0.401   2.051    3.560      0.004    0.005   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]         4766.0    5633.0    1.0  \n",
-       "beta_[age]               5205.0    6095.0    1.0  \n",
-       "beta_[race]             10079.0    6131.0    1.0  \n",
-       "beta_[sex]               8236.0    6838.0    1.0  \n",
-       "beta_[smokeintensity]    8273.0    5751.0    1.0  \n",
-       "beta_[smokeyrs]          5290.0    6061.0    1.0  \n",
-       "beta_[wt71]             10481.0    6604.0    1.0  \n",
-       "beta_[active_1]          8236.0    5435.0    1.0  \n",
-       "beta_[active_2]          8038.0    5841.0    1.0  \n",
-       "beta_[education_2]       5509.0    5720.0    1.0  \n",
-       "beta_[education_3]       4918.0    5491.0    1.0  \n",
-       "beta_[education_4]       6438.0    5787.0    1.0  \n",
-       "beta_[education_5]       6171.0    6474.0    1.0  \n",
-       "beta_[exercise_1]        6537.0    5953.0    1.0  \n",
-       "beta_[exercise_2]        6646.0    6640.0    1.0  \n",
-       "beta_[trt]               8248.0    6248.0    1.0  "
+       "beta_[Intercept]         5159.0    5553.0    1.0  \n",
+       "beta_[age]               5353.0    6053.0    1.0  \n",
+       "beta_[race]              8229.0    6168.0    1.0  \n",
+       "beta_[sex]               6875.0    6242.0    1.0  \n",
+       "beta_[smokeintensity]    8651.0    6256.0    1.0  \n",
+       "beta_[smokeyrs]          5300.0    5483.0    1.0  \n",
+       "beta_[wt71]              8464.0    6411.0    1.0  \n",
+       "beta_[active_1]          7727.0    5667.0    1.0  \n",
+       "beta_[active_2]          9266.0    6126.0    1.0  \n",
+       "beta_[education_2]       5158.0    6085.0    1.0  \n",
+       "beta_[education_3]       4911.0    6181.0    1.0  \n",
+       "beta_[education_4]       5407.0    6062.0    1.0  \n",
+       "beta_[education_5]       5665.0    6216.0    1.0  \n",
+       "beta_[exercise_1]        6162.0    6370.0    1.0  \n",
+       "beta_[exercise_2]        6262.0    6004.0    1.0  \n",
+       "beta_[trt]              10226.0    5394.0    1.0  "
       ]
      },
      "execution_count": 37,
@@ -7188,7 +7089,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -7240,15 +7141,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The watermark extension is already loaded. To reload it, use:\n",
-      "  %reload_ext watermark\n",
       "Last updated: Sat Jul 12 2025\n",
       "\n",
       "Python implementation: CPython\n",
@@ -7258,13 +7157,13 @@
       "pytensor: 2.31.7\n",
       "xarray  : 2025.7.0\n",
       "\n",
-      "pandas    : 2.3.1\n",
-      "matplotlib: 3.10.3\n",
-      "arviz     : 0.21.0\n",
-      "numpy     : 2.3.1\n",
+      "causalpy  : 0.4.2\n",
       "patsy     : 1.0.1\n",
+      "numpy     : 2.3.1\n",
       "pymc      : 5.23.0\n",
-      "causalpy  : 0.4.2\n",
+      "arviz     : 0.21.0\n",
+      "matplotlib: 3.10.3\n",
+      "pandas    : 2.3.1\n",
       "\n",
       "Watermark: 2.5.0\n",
       "\n"

From 98cca2f185f5b138a87ea6ed34d00fcb0251b644 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sun, 13 Jul 2025 06:50:36 +0100
Subject: [PATCH 21/31] fix observed keyword for student liklihood

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/pymc_models.py                     |    4 +-
 docs/source/notebooks/inv_prop_latent.ipynb | 1312 ++++++++-----------
 2 files changed, 564 insertions(+), 752 deletions(-)

diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index 28e18545..e8122c97 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -642,7 +642,9 @@ class initialisation.
                 _ = pm.Normal("like", mu_outcome, sigma, observed=Y_data_)
             else:
                 nu = pm.Exponential("nu", lam=1 / 10)
-                _ = pm.StudentT("like", nu=nu, mu=mu_outcome, sigma=sigma)
+                _ = pm.StudentT(
+                    "like", nu=nu, mu=mu_outcome, sigma=sigma, observed=Y_data_
+                )
 
             idata_outcome = pm.sample_prior_predictive(random_seed=random_seed)
             idata_outcome.extend(pm.sample(**self.sample_kwargs))
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index a0765d1d..93f0e31c 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -114,43 +114,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>1.266896</td>\n",
-       "      <td>-0.509336</td>\n",
-       "      <td>-1.621137</td>\n",
-       "      <td>0</td>\n",
-       "      <td>7.045799</td>\n",
+       "      <td>0.743621</td>\n",
+       "      <td>0.545449</td>\n",
+       "      <td>0.326051</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.591779</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.650639</td>\n",
-       "      <td>1.303119</td>\n",
-       "      <td>0.657024</td>\n",
+       "      <td>0.572511</td>\n",
+       "      <td>0.815017</td>\n",
+       "      <td>0.610170</td>\n",
        "      <td>1</td>\n",
-       "      <td>1.609648</td>\n",
+       "      <td>2.033276</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>-1.739101</td>\n",
-       "      <td>0.490342</td>\n",
-       "      <td>1.099560</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-4.544026</td>\n",
+       "      <td>-0.952942</td>\n",
+       "      <td>-0.866177</td>\n",
+       "      <td>0.405348</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1.441161</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-1.563690</td>\n",
-       "      <td>-0.709081</td>\n",
-       "      <td>-2.128676</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4.726809</td>\n",
+       "      <td>-0.370557</td>\n",
+       "      <td>1.596351</td>\n",
+       "      <td>-1.109556</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.942728</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>-1.195799</td>\n",
-       "      <td>0.520384</td>\n",
-       "      <td>0.296458</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1.018791</td>\n",
+       "      <td>0.094774</td>\n",
+       "      <td>-1.820591</td>\n",
+       "      <td>1.126502</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-2.950210</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -158,11 +158,11 @@
       ],
       "text/plain": [
        "         x1        x2        x3  trt   outcome\n",
-       "0  1.266896 -0.509336 -1.621137    0  7.045799\n",
-       "1  0.650639  1.303119  0.657024    1  1.609648\n",
-       "2 -1.739101  0.490342  1.099560    1 -4.544026\n",
-       "3 -1.563690 -0.709081 -2.128676    0  4.726809\n",
-       "4 -1.195799  0.520384  0.296458    1 -1.018791"
+       "0  0.743621  0.545449  0.326051    1  3.591779\n",
+       "1  0.572511  0.815017  0.610170    1  2.033276\n",
+       "2 -0.952942 -0.866177  0.405348    0 -1.441161\n",
+       "3 -0.370557  1.596351 -1.109556    1  5.942728\n",
+       "4  0.094774 -1.820591  1.126502    0 -2.950210"
       ]
      },
      "execution_count": 2,
@@ -236,7 +236,7 @@
        "<svg width=\"872pt\" height=\"591pt\"\n",
        " viewBox=\"0.00 0.00 872.00 591.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
        "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 587.27)\">\n",
-       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-587.27 868.18,-587.27 868.18,4 -4,4\"/>\n",
+       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-587.27 867.98,-587.27 867.98,4 -4,4\"/>\n",
        "<g id=\"clust1\" class=\"cluster\">\n",
        "<title>cluster4000 x 3</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M20,-348.04C20,-348.04 66,-348.04 66,-348.04 72,-348.04 78,-354.04 78,-360.04 78,-360.04 78,-434.04 78,-434.04 78,-440.04 72,-446.04 66,-446.04 66,-446.04 20,-446.04 20,-446.04 14,-446.04 8,-440.04 8,-434.04 8,-434.04 8,-360.04 8,-360.04 8,-354.04 14,-348.04 20,-348.04\"/>\n",
@@ -271,7 +271,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"43\" y=\"-387.74\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node7\" class=\"node\">\n",
        "<title>p</title>\n",
        "<polygon fill=\"none\" stroke=\"black\" points=\"195.12,-320.73 104.88,-320.73 104.88,-263.23 195.12,-263.23 195.12,-320.73\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">p</text>\n",
@@ -279,7 +279,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M58.57,-380.29C65.12,-369.66 73.25,-357.77 82,-348.04 88.2,-341.14 95.32,-334.4 102.56,-328.13\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"104.48,-331.08 109.91,-321.98 99.99,-325.72 104.48,-331.08\"/>\n",
@@ -301,33 +301,47 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge12\" class=\"edge\">\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
        "<title>X_outcome&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M294.23,-262.8C285.48,-252.59 275.4,-241.04 266,-230.73 260.59,-224.79 254.78,-218.59 249.06,-212.57\"/>\n",
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        "</g>\n",
-       "<!-- t_pred -->\n",
-       "<g id=\"node3\" class=\"node\">\n",
-       "<title>t_pred</title>\n",
-       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"107\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
-       "</g>\n",
        "<!-- T -->\n",
-       "<g id=\"node5\" class=\"node\">\n",
+       "<g id=\"node3\" class=\"node\">\n",
        "<title>T</title>\n",
        "<path fill=\"lightgrey\" stroke=\"black\" d=\"M122,-98C122,-98 92,-98 92,-98 86,-98 80,-92 80,-86 80,-86 80,-52.5 80,-52.5 80,-46.5 86,-40.5 92,-40.5 92,-40.5 122,-40.5 122,-40.5 128,-40.5 134,-46.5 134,-52.5 134,-52.5 134,-86 134,-86 134,-92 128,-98 122,-98\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">T</text>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
+       "<!-- Y -->\n",
+       "<g id=\"node4\" class=\"node\">\n",
+       "<title>Y</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M228,-98C228,-98 198,-98 198,-98 192,-98 186,-92 186,-86 186,-86 186,-52.5 186,-52.5 186,-46.5 192,-40.5 198,-40.5 198,-40.5 228,-40.5 228,-40.5 234,-40.5 240,-46.5 240,-52.5 240,-52.5 240,-86 240,-86 240,-92 234,-98 228,-98\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- t_pred -->\n",
+       "<g id=\"node5\" class=\"node\">\n",
+       "<title>t_pred</title>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"107\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
+       "</g>\n",
        "<!-- t_pred&#45;&gt;T -->\n",
        "<g id=\"edge1\" class=\"edge\">\n",
        "<title>t_pred&#45;&gt;T</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M107,-133.68C107,-125.83 107,-117.6 107,-109.76\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"110.5,-109.79 107,-99.79 103.5,-109.79 110.5,-109.79\"/>\n",
        "</g>\n",
+       "<!-- like&#45;&gt;Y -->\n",
+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>like&#45;&gt;Y</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M213,-133.68C213,-125.83 213,-117.6 213,-109.76\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"216.5,-109.79 213,-99.79 209.5,-109.79 216.5,-109.79\"/>\n",
+       "</g>\n",
        "<!-- p&#45;&gt;t_pred -->\n",
        "<g id=\"edge8\" class=\"edge\">\n",
        "<title>p&#45;&gt;t_pred</title>\n",
@@ -335,25 +349,11 @@
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        "</g>\n",
        "<!-- p&#45;&gt;like -->\n",
-       "<g id=\"edge10\" class=\"edge\">\n",
+       "<g id=\"edge14\" class=\"edge\">\n",
        "<title>p&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M165.41,-262.77C172.27,-250.21 180.52,-235.11 188.21,-221.03\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"191.24,-222.8 192.96,-212.34 185.09,-219.44 191.24,-222.8\"/>\n",
        "</g>\n",
-       "<!-- Y -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
-       "<title>Y</title>\n",
-       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M228,-98C228,-98 198,-98 198,-98 192,-98 186,-92 186,-86 186,-86 186,-52.5 186,-52.5 186,-46.5 192,-40.5 198,-40.5 198,-40.5 228,-40.5 228,-40.5 234,-40.5 240,-46.5 240,-52.5 240,-52.5 240,-86 240,-86 240,-92 234,-98 228,-98\"/>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"213\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
-       "</g>\n",
-       "<!-- like&#45;&gt;Y -->\n",
-       "<g id=\"edge2\" class=\"edge\">\n",
-       "<title>like&#45;&gt;Y</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M213,-133.68C213,-125.83 213,-117.6 213,-109.76\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"216.5,-109.79 213,-99.79 209.5,-109.79 216.5,-109.79\"/>\n",
-       "</g>\n",
        "<!-- beta_trt_std -->\n",
        "<g id=\"node8\" class=\"node\">\n",
        "<title>beta_trt_std</title>\n",
@@ -377,7 +377,7 @@
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        "</g>\n",
        "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
        "<title>beta_trt_&#45;&gt;p</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M150,-380.08C150,-365.74 150,-348.07 150,-332.4\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"153.5,-332.41 150,-322.41 146.5,-332.41 153.5,-332.41\"/>\n",
@@ -405,41 +405,27 @@
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        "</g>\n",
        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge9\" class=\"edge\">\n",
+       "<g id=\"edge10\" class=\"edge\">\n",
        "<title>beta_&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M405.5,-262.95C395.68,-251.68 383.29,-239.34 370,-230.73 337.59,-209.71 296.2,-195.62 264.05,-186.96\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"265.12,-183.62 254.56,-184.5 263.36,-190.4 265.12,-183.62\"/>\n",
        "</g>\n",
-       "<!-- sigma -->\n",
-       "<g id=\"node12\" class=\"node\">\n",
-       "<title>sigma</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"548\" cy=\"-291.98\" rx=\"57.98\" ry=\"40.66\"/>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"548\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"548\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"548\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n",
-       "</g>\n",
-       "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge13\" class=\"edge\">\n",
-       "<title>sigma&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M518.53,-256.74C508.49,-246.99 496.6,-237.25 484,-230.73 414,-194.48 322.32,-182.07 265.56,-177.84\"/>\n",
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-       "</g>\n",
        "<!-- beta_ps -->\n",
-       "<g id=\"node13\" class=\"node\">\n",
+       "<g id=\"node12\" class=\"node\">\n",
        "<title>beta_ps</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"665\" cy=\"-291.98\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"665\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"665\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"665\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"531\" cy=\"-291.98\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"531\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"531\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"531\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- beta_ps&#45;&gt;like -->\n",
-       "<g id=\"edge14\" class=\"edge\">\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
        "<title>beta_ps&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M643.94,-256.9C636.08,-246.91 626.29,-237 615,-230.73 556.04,-197.97 360.32,-183.4 265.45,-178.14\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"265.81,-174.66 255.64,-177.62 265.43,-181.65 265.81,-174.66\"/>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M510.62,-256.39C503.37,-246.74 494.38,-237.15 484,-230.73 416.6,-188.99 323.4,-178.19 265.72,-175.77\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"265.95,-172.28 255.84,-175.44 265.72,-179.27 265.95,-172.28\"/>\n",
        "</g>\n",
        "<!-- alpha_trt -->\n",
-       "<g id=\"node14\" class=\"node\">\n",
+       "<g id=\"node13\" class=\"node\">\n",
        "<title>alpha_trt</title>\n",
        "<ellipse fill=\"none\" stroke=\"black\" cx=\"267\" cy=\"-409.29\" rx=\"45.25\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"267\" y=\"-420.74\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_trt</text>\n",
@@ -447,30 +433,44 @@
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        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>alpha_trt&#45;&gt;p</title>\n",
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        "</g>\n",
        "<!-- alpha_outcome -->\n",
-       "<g id=\"node15\" class=\"node\">\n",
+       "<g id=\"node14\" class=\"node\">\n",
        "<title>alpha_outcome</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"794\" cy=\"-291.98\" rx=\"70.18\" ry=\"40.66\"/>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"794\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"794\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"794\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"660\" cy=\"-291.98\" rx=\"70.18\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"660\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"660\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"660\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge11\" class=\"edge\">\n",
+       "<g id=\"edge12\" class=\"edge\">\n",
        "<title>alpha_outcome&#45;&gt;like</title>\n",
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+       "</g>\n",
+       "<!-- sigma -->\n",
+       "<g id=\"node15\" class=\"node\">\n",
+       "<title>sigma</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"806\" cy=\"-291.98\" rx=\"57.98\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"806\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"806\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"806\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n",
+       "</g>\n",
+       "<!-- sigma&#45;&gt;like -->\n",
+       "<g id=\"edge13\" class=\"edge\">\n",
+       "<title>sigma&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M776.28,-256.94C765.57,-246.82 752.72,-236.83 739,-230.73 655.15,-193.45 381.56,-180.81 265.65,-177.06\"/>\n",
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        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x16f982ba0>"
+       "<graphviz.graphs.Digraph at 0x149a8aba0>"
       ]
      },
      "execution_count": 3,
@@ -560,7 +560,7 @@
     "            _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
     "        else:\n",
     "            nu = pm.Exponential(\"nu\", lam=1 / 10)\n",
-    "            _ = pm.StudentT(\"like\", nu=nu, mu=mu_outcome, sigma=sigma)\n",
+    "            _ = pm.StudentT(\"like\", nu=nu, mu=mu_outcome, sigma=sigma, observed=Y_data_)\n",
     "\n",
     "    return model\n",
     "\n",
@@ -638,7 +638,7 @@
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        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node2\" class=\"node\">\n",
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@@ -646,19 +646,25 @@
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        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
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        "</g>\n",
        "<!-- t_pred -->\n",
-       "<g id=\"node2\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
        "<title>t_pred</title>\n",
        "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"150\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
        "</g>\n",
+       "<!-- p&#45;&gt;t_pred -->\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
+       "<title>p&#45;&gt;t_pred</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M150,-251.08C150,-243.6 150,-235.27 150,-226.95\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"153.5,-227.21 150,-217.21 146.5,-227.21 153.5,-227.21\"/>\n",
+       "</g>\n",
        "<!-- T -->\n",
        "<g id=\"node3\" class=\"node\">\n",
        "<title>T</title>\n",
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-       "<!-- p&#45;&gt;t_pred -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
-       "<title>p&#45;&gt;t_pred</title>\n",
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-       "</g>\n",
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        "<title>beta_trt_std</title>\n",
@@ -702,7 +702,7 @@
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        "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge3\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>beta_trt_&#45;&gt;p</title>\n",
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@@ -716,7 +716,7 @@
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        "</g>\n",
        "<!-- alpha_trt&#45;&gt;p -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge3\" class=\"edge\">\n",
        "<title>alpha_trt&#45;&gt;p</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M242.81,-351.5C235.4,-342.32 226.84,-332.73 218,-324.82 213.79,-321.05 209.23,-317.39 204.52,-313.89\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"206.77,-311.2 196.59,-308.26 202.72,-316.91 206.77,-311.2\"/>\n",
@@ -725,7 +725,7 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x16fea2690>"
+       "<graphviz.graphs.Digraph at 0x14dd6e690>"
       ]
      },
      "execution_count": 4,
@@ -837,7 +837,7 @@
     "            _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
     "        else:\n",
     "            nu = pm.Exponential(\"nu\", lam=1 / 10)\n",
-    "            _ = pm.StudentT(\"like\", nu=nu, mu=mu_outcome, sigma=sigma)\n",
+    "            _ = pm.StudentT(\"like\", nu=nu, mu=mu_outcome, sigma=sigma, observed=Y_data_)\n",
     "\n",
     "    return model_outcome\n",
     "\n",
@@ -862,7 +862,7 @@
     "        Y_data,\n",
     "        coords,\n",
     "        priors,\n",
-    "        spline_component,\n",
+    "        spline_component=spline_component,\n",
     "        propensity_score_idata=idata_treatment,\n",
     "        normal_outcome=normal_outcome,\n",
     "    )\n",
@@ -910,7 +910,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c483e245227645beab67f0099d08d630",
+       "model_id": "0e6a488ed0454984a4d5d51da5e3c487",
        "version_major": 2,
        "version_minor": 0
       },
@@ -921,6 +921,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -935,7 +943,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 70 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 73 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -947,7 +955,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6b98e92e95ea428ba577da11eae1ea1d",
+       "model_id": "fb045580de654250835146c1b3aee4a9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -973,16 +981,16 @@
      "output_type": "stream",
      "text": [
       "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 17 seconds.\n",
-      "Sampling: [alpha_outcome, beta_, beta_ps, like, sigma]\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_, beta_ps, alpha_outcome, sigma]\n"
+      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e4ed901970b34ac78b69b5b954a61934",
+       "model_id": "5c4b5a3a422240e982c1a59dd6075bfd",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1007,7 +1015,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
      ]
     }
    ],
@@ -1040,7 +1048,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1100,67 +1108,67 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.019</td>\n",
-       "      <td>0.021</td>\n",
-       "      <td>-0.061</td>\n",
-       "      <td>0.020</td>\n",
+       "      <td>0.053</td>\n",
+       "      <td>0.022</td>\n",
+       "      <td>0.013</td>\n",
+       "      <td>0.094</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.394</td>\n",
+       "      <td>2.375</td>\n",
        "      <td>0.057</td>\n",
-       "      <td>2.290</td>\n",
-       "      <td>2.507</td>\n",
+       "      <td>2.269</td>\n",
+       "      <td>2.481</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.283</td>\n",
-       "      <td>0.071</td>\n",
-       "      <td>1.151</td>\n",
-       "      <td>1.418</td>\n",
+       "      <td>1.262</td>\n",
+       "      <td>0.067</td>\n",
+       "      <td>1.135</td>\n",
+       "      <td>1.388</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-15.354</td>\n",
-       "      <td>0.295</td>\n",
-       "      <td>-15.915</td>\n",
-       "      <td>-14.796</td>\n",
+       "      <td>-14.841</td>\n",
+       "      <td>0.283</td>\n",
+       "      <td>-15.409</td>\n",
+       "      <td>-14.339</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.416</td>\n",
+       "      <td>8.409</td>\n",
        "      <td>0.161</td>\n",
-       "      <td>8.109</td>\n",
+       "      <td>8.117</td>\n",
        "      <td>8.714</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.829</td>\n",
-       "      <td>0.193</td>\n",
-       "      <td>1.454</td>\n",
-       "      <td>2.175</td>\n",
+       "      <td>1.857</td>\n",
+       "      <td>0.188</td>\n",
+       "      <td>1.516</td>\n",
+       "      <td>2.224</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.203</td>\n",
+       "      <td>1.175</td>\n",
        "      <td>0.041</td>\n",
-       "      <td>1.126</td>\n",
-       "      <td>1.281</td>\n",
+       "      <td>1.096</td>\n",
+       "      <td>1.249</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.104</td>\n",
-       "      <td>0.062</td>\n",
-       "      <td>2.992</td>\n",
-       "      <td>3.223</td>\n",
+       "      <td>2.989</td>\n",
+       "      <td>0.059</td>\n",
+       "      <td>2.876</td>\n",
+       "      <td>3.097</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1169,14 +1177,14 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt      -0.019  0.021  -0.061    0.020    1.0\n",
-       "              beta_[trt]      2.394  0.057   2.290    2.507    1.0\n",
-       "              beta_[x1]       1.283  0.071   1.151    1.418    1.0\n",
-       "              beta_ps       -15.354  0.295 -15.915  -14.796    1.0\n",
-       "              alpha_outcome   8.416  0.161   8.109    8.714    1.0\n",
-       "2-stage-model beta_[trt]      1.829  0.193   1.454    2.175    1.0\n",
-       "              beta_[x1]       1.203  0.041   1.126    1.281    1.0\n",
-       "              alpha_outcome   3.104  0.062   2.992    3.223    1.0"
+       "1-stage-model alpha_trt       0.053  0.022   0.013    0.094    1.0\n",
+       "              beta_[trt]      2.375  0.057   2.269    2.481    1.0\n",
+       "              beta_[x1]       1.262  0.067   1.135    1.388    1.0\n",
+       "              beta_ps       -14.841  0.283 -15.409  -14.339    1.0\n",
+       "              alpha_outcome   8.409  0.161   8.117    8.714    1.0\n",
+       "2-stage-model beta_[trt]      1.857  0.188   1.516    2.224    1.0\n",
+       "              beta_[x1]       1.175  0.041   1.096    1.249    1.0\n",
+       "              alpha_outcome   2.989  0.059   2.876    3.097    1.0"
       ]
      },
      "execution_count": 7,
@@ -1669,13 +1677,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.222, 0.303, 0.374, 0.435, 0.498, 0.555, 0.618, 0.687, 0.772])\n",
+       "array([0.237, 0.323, 0.393, 0.452, 0.515, 0.576, 0.64 , 0.706, 0.783])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1b367508-4ac4-49b0-8acc-45ad41002db4' class='xr-array-in' type='checkbox' checked><label for='section-1b367508-4ac4-49b0-8acc-45ad41002db4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.222 0.303 0.374 0.435 0.498 0.555 0.618 0.687 0.772</span></div><div class='xr-array-data'><pre>array([0.222, 0.303, 0.374, 0.435, 0.498, 0.555, 0.618, 0.687, 0.772])</pre></div></div></li><li class='xr-section-item'><input id='section-14d1e0d0-9e30-42ae-b4a0-2d055f3933f4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-14d1e0d0-9e30-42ae-b4a0-2d055f3933f4' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-80075218-b730-4a14-a83f-ebbf12250ecc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80075218-b730-4a14-a83f-ebbf12250ecc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dcda304-5239-4688-a75a-df7e593f161d' class='xr-var-data-in' type='checkbox'><label for='data-9dcda304-5239-4688-a75a-df7e593f161d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8013f001-6cfa-4486-8338-f2283b883580' class='xr-section-summary-in' type='checkbox'  ><label for='section-8013f001-6cfa-4486-8338-f2283b883580' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-051be4be-1186-4949-8f7b-cf91c3bb0261' class='xr-index-data-in' type='checkbox'/><label for='index-051be4be-1186-4949-8f7b-cf91c3bb0261' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c46d91c-45c2-46ef-a98f-9933be7042c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c46d91c-45c2-46ef-a98f-9933be7042c7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7048ba1f-b5e7-475c-bd18-5a1095210fd4' class='xr-array-in' type='checkbox' checked><label for='section-7048ba1f-b5e7-475c-bd18-5a1095210fd4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.237 0.323 0.393 0.452 0.515 0.576 0.64 0.706 0.783</span></div><div class='xr-array-data'><pre>array([0.237, 0.323, 0.393, 0.452, 0.515, 0.576, 0.64 , 0.706, 0.783])</pre></div></div></li><li class='xr-section-item'><input id='section-8f2af660-ca48-40ad-b7af-80c1045f2883' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8f2af660-ca48-40ad-b7af-80c1045f2883' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-8b71ec52-fef4-4b6f-9c2c-2a310f50edd5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b71ec52-fef4-4b6f-9c2c-2a310f50edd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89f21e55-b63d-4a59-9d3a-627e92fe7c53' class='xr-var-data-in' type='checkbox'><label for='data-89f21e55-b63d-4a59-9d3a-627e92fe7c53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9be1ee03-0d2d-40ae-ada6-f5ebd986cac5' class='xr-section-summary-in' type='checkbox'  ><label for='section-9be1ee03-0d2d-40ae-ada6-f5ebd986cac5' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e378da5d-01ef-4305-a029-1af1bd7c438c' class='xr-index-data-in' type='checkbox'/><label for='index-e378da5d-01ef-4305-a029-1af1bd7c438c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3638ea14-ea76-451e-9acd-e3f2d054637a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3638ea14-ea76-451e-9acd-e3f2d054637a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.222, 0.303, 0.374, 0.435, 0.498, 0.555, 0.618, 0.687, 0.772])\n",
+       "array([0.237, 0.323, 0.393, 0.452, 0.515, 0.576, 0.64 , 0.706, 0.783])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -2152,13 +2160,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.   , 0.001, 0.016, 0.134, 0.557, 0.905, 0.988, 0.999, 1.   ])\n",
+       "array([0.   , 0.001, 0.018, 0.135, 0.548, 0.909, 0.987, 0.999, 1.   ])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-265b64d9-fea1-43ef-875d-3d1fe56c5477' class='xr-array-in' type='checkbox' checked><label for='section-265b64d9-fea1-43ef-875d-3d1fe56c5477' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.016 0.134 0.557 0.905 0.988 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.016, 0.134, 0.557, 0.905, 0.988, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-7a80e1c3-6958-410f-923b-796249e0a2dd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a80e1c3-6958-410f-923b-796249e0a2dd' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-a7d88351-4412-4dd2-96ec-658fa8d2f3f4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7d88351-4412-4dd2-96ec-658fa8d2f3f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df5ecbdd-04e7-44d6-9ce2-3165215526bd' class='xr-var-data-in' type='checkbox'><label for='data-df5ecbdd-04e7-44d6-9ce2-3165215526bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f906fcf-8574-4c74-be14-c07cdc07c713' class='xr-section-summary-in' type='checkbox'  ><label for='section-0f906fcf-8574-4c74-be14-c07cdc07c713' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-534a9b35-a7ff-48b2-af20-f242f1b92de5' class='xr-index-data-in' type='checkbox'/><label for='index-534a9b35-a7ff-48b2-af20-f242f1b92de5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3198d9cb-b1a0-4c79-8078-7b793b14144c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3198d9cb-b1a0-4c79-8078-7b793b14144c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a8f765b6-9e53-426a-853a-08b1683c9c79' class='xr-array-in' type='checkbox' checked><label for='section-a8f765b6-9e53-426a-853a-08b1683c9c79' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.018 0.135 0.548 0.909 0.987 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.018, 0.135, 0.548, 0.909, 0.987, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-ab6942ca-0537-465a-b634-25ac0e78af69' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ab6942ca-0537-465a-b634-25ac0e78af69' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-d99bbde5-f678-4d1c-ad6d-08afe07a070c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d99bbde5-f678-4d1c-ad6d-08afe07a070c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ed53255-6cda-4af2-addf-25852182a6be' class='xr-var-data-in' type='checkbox'><label for='data-3ed53255-6cda-4af2-addf-25852182a6be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6751da9a-c73b-4725-a74d-f68f06ff3f82' class='xr-section-summary-in' type='checkbox'  ><label for='section-6751da9a-c73b-4725-a74d-f68f06ff3f82' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-64cf5e95-7ead-4eee-854c-7ceb34df773f' class='xr-index-data-in' type='checkbox'/><label for='index-64cf5e95-7ead-4eee-854c-7ceb34df773f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b4615aee-5e18-4cf3-a672-e8e6e661bb34' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b4615aee-5e18-4cf3-a672-e8e6e661bb34' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.   , 0.001, 0.016, 0.134, 0.557, 0.905, 0.988, 0.999, 1.   ])\n",
+       "array([0.   , 0.001, 0.018, 0.135, 0.548, 0.909, 0.987, 0.999, 1.   ])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -2190,7 +2198,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2280,7 +2288,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "feb411c85120496896e372c3537eec8d",
+       "model_id": "5ad46d6c5c69437b91f30052144d9559",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2311,7 +2319,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4732371292ec470891f9809269b4b508",
+       "model_id": "054cf8e2e253484eb0f9199ef6e78be4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2808,11 +2816,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(3.17378714)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2795a7cb-ba21-4350-96ae-552ec96ed389' class='xr-array-in' type='checkbox' checked><label for='section-2795a7cb-ba21-4350-96ae-552ec96ed389' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.174</span></div><div class='xr-array-data'><pre>array(3.17378714)</pre></div></div></li><li class='xr-section-item'><input id='section-724ff85f-0e87-4649-bc83-81dddfb019a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-724ff85f-0e87-4649-bc83-81dddfb019a3' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bab2ced0-232e-4837-994b-6c5379a48e8e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bab2ced0-232e-4837-994b-6c5379a48e8e' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3aaf5bf2-ed71-44c9-b229-f462939b0e8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3aaf5bf2-ed71-44c9-b229-f462939b0e8d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(3.18761295)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5abd8847-a986-49d1-ad37-6f99dce7f3a6' class='xr-array-in' type='checkbox' checked><label for='section-5abd8847-a986-49d1-ad37-6f99dce7f3a6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.188</span></div><div class='xr-array-data'><pre>array(3.18761295)</pre></div></div></li><li class='xr-section-item'><input id='section-32ca9f09-e7bd-438b-b3ac-f951318afcd7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-32ca9f09-e7bd-438b-b3ac-f951318afcd7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-99a4ef4a-4079-4655-aa4d-fcd6f8aa97f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-99a4ef4a-4079-4655-aa4d-fcd6f8aa97f7' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-31cb7cee-521f-4812-bf0b-4d53239e2b16' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31cb7cee-521f-4812-bf0b-4d53239e2b16' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(3.17378714)"
+       "array(3.18761295)"
       ]
      },
      "execution_count": 13,
@@ -3283,11 +3291,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(0.78004051)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0efebe19-7693-4c14-aac2-bb0be7f2986b' class='xr-array-in' type='checkbox' checked><label for='section-0efebe19-7693-4c14-aac2-bb0be7f2986b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.78</span></div><div class='xr-array-data'><pre>array(0.78004051)</pre></div></div></li><li class='xr-section-item'><input id='section-e93fa7bc-fbfc-4425-9cfa-103f5822b8fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e93fa7bc-fbfc-4425-9cfa-103f5822b8fc' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c9d49397-7800-4623-8947-54f466418997' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c9d49397-7800-4623-8947-54f466418997' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-eafc2d05-1438-4fc2-9cdc-b89b746a20f6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eafc2d05-1438-4fc2-9cdc-b89b746a20f6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(0.81308028)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-467aa2dc-9e4c-4654-b223-a1a9eb928388' class='xr-array-in' type='checkbox' checked><label for='section-467aa2dc-9e4c-4654-b223-a1a9eb928388' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.8131</span></div><div class='xr-array-data'><pre>array(0.81308028)</pre></div></div></li><li class='xr-section-item'><input id='section-b157cf48-0b58-4321-84f4-5854531b997d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b157cf48-0b58-4321-84f4-5854531b997d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4dc6db5f-1908-4b19-b556-1bc7b289f4d9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4dc6db5f-1908-4b19-b556-1bc7b289f4d9' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4416ccfd-bb28-4025-8e0a-dec378bc0846' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4416ccfd-bb28-4025-8e0a-dec378bc0846' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(0.78004051)"
+       "array(0.81308028)"
       ]
      },
      "execution_count": 14,
@@ -3758,11 +3766,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(2.39374663)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6116b709-7dc9-43a5-bb9a-e6208218ca4d' class='xr-array-in' type='checkbox' checked><label for='section-6116b709-7dc9-43a5-bb9a-e6208218ca4d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.394</span></div><div class='xr-array-data'><pre>array(2.39374663)</pre></div></div></li><li class='xr-section-item'><input id='section-2e31bf76-e284-400e-8d17-04168cb70ecc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e31bf76-e284-400e-8d17-04168cb70ecc' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b79d91c3-2b7b-44df-9bf9-a2a0e1411c79' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b79d91c3-2b7b-44df-9bf9-a2a0e1411c79' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c058b1e4-77f8-469f-be79-a7ca97d063e6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c058b1e4-77f8-469f-be79-a7ca97d063e6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(2.37453267)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-25cfcff3-ce52-4207-b36a-1a96a3904d0d' class='xr-array-in' type='checkbox' checked><label for='section-25cfcff3-ce52-4207-b36a-1a96a3904d0d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.375</span></div><div class='xr-array-data'><pre>array(2.37453267)</pre></div></div></li><li class='xr-section-item'><input id='section-903a5ea2-d7f3-49a2-a48d-272dcf789c97' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-903a5ea2-d7f3-49a2-a48d-272dcf789c97' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-185a3858-5c87-4dec-87f4-e2f2ec3b61be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-185a3858-5c87-4dec-87f4-e2f2ec3b61be' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fc9d442d-30a0-4f8f-8c28-20c6fbb943a7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc9d442d-30a0-4f8f-8c28-20c6fbb943a7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(2.39374663)"
+       "array(2.37453267)"
       ]
      },
      "execution_count": 15,
@@ -3909,129 +3917,24 @@
        "      <td>0</td>\n",
        "      <td>44</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1747</th>\n",
-       "      <td>1748</td>\n",
-       "      <td>True</td>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>961</td>\n",
-       "      <td>27</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "      <td>22.1</td>\n",
-       "      <td>27</td>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1748</th>\n",
-       "      <td>1749</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>49</td>\n",
-       "      <td>906</td>\n",
-       "      <td>49</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "      <td>30.7</td>\n",
-       "      <td>55</td>\n",
-       "      <td>0</td>\n",
-       "      <td>49</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1749</th>\n",
-       "      <td>1750</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1325</td>\n",
-       "      <td>92</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "      <td>21.4</td>\n",
-       "      <td>52</td>\n",
-       "      <td>0</td>\n",
-       "      <td>17</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1750</th>\n",
-       "      <td>1751</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0</td>\n",
-       "      <td>46</td>\n",
-       "      <td>879</td>\n",
-       "      <td>33</td>\n",
-       "      <td>6</td>\n",
-       "      <td>False</td>\n",
-       "      <td>27.4</td>\n",
-       "      <td>62</td>\n",
-       "      <td>0</td>\n",
-       "      <td>46</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1751</th>\n",
-       "      <td>1752</td>\n",
-       "      <td>True</td>\n",
-       "      <td>1</td>\n",
-       "      <td>13</td>\n",
-       "      <td>1339</td>\n",
-       "      <td>77</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "      <td>27.7</td>\n",
-       "      <td>44</td>\n",
-       "      <td>1</td>\n",
-       "      <td>13</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>1752 rows × 12 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "        id    net  net_num  malaria_risk  income  health  household  eligible  \\\n",
-       "0        1   True        1            33     781      56          2     False   \n",
-       "1        2  False        0            42     974      57          4     False   \n",
-       "2        3  False        0            80     502      15          3     False   \n",
-       "3        4   True        1            34     671      20          5      True   \n",
-       "4        5  False        0            44     728      17          5     False   \n",
-       "...    ...    ...      ...           ...     ...     ...        ...       ...   \n",
-       "1747  1748   True        1            18     961      27          4     False   \n",
-       "1748  1749  False        0            49     906      49          5     False   \n",
-       "1749  1750  False        0            17    1325      92          2     False   \n",
-       "1750  1751  False        0            46     879      33          6     False   \n",
-       "1751  1752   True        1            13    1339      77          4     False   \n",
-       "\n",
-       "      temperature  resistance  trt  outcome  \n",
-       "0            21.1          59    1       33  \n",
-       "1            26.5          73    0       42  \n",
-       "2            25.6          65    0       80  \n",
-       "3            21.3          46    1       34  \n",
-       "4            19.2          54    0       44  \n",
-       "...           ...         ...  ...      ...  \n",
-       "1747         22.1          27    1       18  \n",
-       "1748         30.7          55    0       49  \n",
-       "1749         21.4          52    0       17  \n",
-       "1750         27.4          62    0       46  \n",
-       "1751         27.7          44    1       13  \n",
-       "\n",
-       "[1752 rows x 12 columns]"
+       "   id    net  net_num  malaria_risk  income  health  household  eligible  \\\n",
+       "0   1   True        1            33     781      56          2     False   \n",
+       "1   2  False        0            42     974      57          4     False   \n",
+       "2   3  False        0            80     502      15          3     False   \n",
+       "3   4   True        1            34     671      20          5      True   \n",
+       "4   5  False        0            44     728      17          5     False   \n",
+       "\n",
+       "   temperature  resistance  trt  outcome  \n",
+       "0         21.1          59    1       33  \n",
+       "1         26.5          73    0       42  \n",
+       "2         25.6          65    0       80  \n",
+       "3         21.3          46    1       34  \n",
+       "4         19.2          54    0       44  "
       ]
      },
      "execution_count": 16,
@@ -4043,7 +3946,7 @@
     "nets_df = cp.load_data(\"nets\")\n",
     "nets_df[\"trt\"] = nets_df[\"net_num\"]\n",
     "nets_df[\"outcome\"] = nets_df[\"malaria_risk\"]\n",
-    "nets_df"
+    "nets_df.head()"
    ]
   },
   {
@@ -4063,13 +3966,13 @@
       "  warnings.warn(\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma]\n"
+      "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma, nu]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "23a8313d8d8c491eb87adc3af78e5aee",
+       "model_id": "68770a48b5eb4a5092646227754b4a6d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4094,7 +3997,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 11 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 15 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -4106,7 +4009,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fc99fe99314f43d2ac96d777cfef352a",
+       "model_id": "e5e44faadc574fbe8c34f97f273ed221",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4132,16 +4035,16 @@
      "output_type": "stream",
      "text": [
       "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
-      "Sampling: [alpha_outcome, beta_, beta_ps, like, sigma]\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_std, like, nu, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_, beta_ps, alpha_outcome, sigma]\n"
+      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma, nu]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2c6fafcb6d64497895fb93dd6015bb31",
+       "model_id": "5acafc2693004ad5ae5a9729184c21e1",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4166,7 +4069,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
      ]
     }
    ],
@@ -4194,19 +4097,16 @@
     "    \"alpha_outcome\": [40, 30],\n",
     "    \"sigma\": 15,\n",
     "}\n",
-    "net_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
+    "net_model = make_model(\n",
+    "    X_trt, X_outcome, T_data, Y_data, coords, priors=priors, normal_outcome=False\n",
+    ")\n",
     "\n",
     "with net_model:\n",
     "    idata_net = pm.sample(tune=2000, target_accept=0.98)\n",
     "\n",
     "idata_treatment_2s_net, idata_outcome_2s_net, treatment_model_net, outcome_model_net = (\n",
     "    make_2step_model(\n",
-    "        X_trt,\n",
-    "        X_outcome,\n",
-    "        T_data,\n",
-    "        Y_data,\n",
-    "        coords,\n",
-    "        priors=priors,\n",
+    "        X_trt, X_outcome, T_data, Y_data, coords, priors=priors, normal_outcome=False\n",
     "    )\n",
     ")"
    ]
@@ -4218,7 +4118,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4285,75 +4185,75 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.259</td>\n",
+       "      <td>-0.261</td>\n",
        "      <td>0.051</td>\n",
-       "      <td>-0.359</td>\n",
-       "      <td>-0.166</td>\n",
+       "      <td>-0.351</td>\n",
+       "      <td>-0.161</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.964</td>\n",
-       "      <td>0.269</td>\n",
-       "      <td>-10.497</td>\n",
-       "      <td>-9.496</td>\n",
+       "      <td>-9.933</td>\n",
+       "      <td>0.272</td>\n",
+       "      <td>-10.461</td>\n",
+       "      <td>-9.446</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.157</td>\n",
-       "      <td>0.216</td>\n",
-       "      <td>-10.579</td>\n",
-       "      <td>-9.767</td>\n",
+       "      <td>-10.105</td>\n",
+       "      <td>0.225</td>\n",
+       "      <td>-10.537</td>\n",
+       "      <td>-9.695</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-16.257</td>\n",
-       "      <td>0.650</td>\n",
-       "      <td>-17.524</td>\n",
-       "      <td>-15.099</td>\n",
+       "      <td>-16.196</td>\n",
+       "      <td>0.657</td>\n",
+       "      <td>-17.454</td>\n",
+       "      <td>-15.019</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.714</td>\n",
-       "      <td>0.394</td>\n",
-       "      <td>46.026</td>\n",
-       "      <td>47.500</td>\n",
+       "      <td>46.576</td>\n",
+       "      <td>0.401</td>\n",
+       "      <td>45.876</td>\n",
+       "      <td>47.392</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.108</td>\n",
-       "      <td>0.320</td>\n",
-       "      <td>-10.696</td>\n",
-       "      <td>-9.506</td>\n",
+       "      <td>-10.070</td>\n",
+       "      <td>0.330</td>\n",
+       "      <td>-10.684</td>\n",
+       "      <td>-9.449</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.629</td>\n",
-       "      <td>0.191</td>\n",
-       "      <td>-10.975</td>\n",
-       "      <td>-10.252</td>\n",
+       "      <td>-10.832</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>-11.209</td>\n",
+       "      <td>-10.489</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>42.186</td>\n",
-       "      <td>0.424</td>\n",
-       "      <td>41.426</td>\n",
-       "      <td>43.017</td>\n",
+       "      <td>41.255</td>\n",
+       "      <td>0.410</td>\n",
+       "      <td>40.486</td>\n",
+       "      <td>42.030</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-6.940</td>\n",
-       "      <td>0.965</td>\n",
-       "      <td>-8.787</td>\n",
-       "      <td>-5.170</td>\n",
+       "      <td>-4.823</td>\n",
+       "      <td>0.931</td>\n",
+       "      <td>-6.642</td>\n",
+       "      <td>-3.111</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4362,15 +4262,15 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt      -0.259  0.051  -0.359   -0.166    1.0\n",
-       "              beta_[trt]     -9.964  0.269 -10.497   -9.496    1.0\n",
-       "              beta_[income] -10.157  0.216 -10.579   -9.767    1.0\n",
-       "              beta_ps       -16.257  0.650 -17.524  -15.099    1.0\n",
-       "              alpha_outcome  46.714  0.394  46.026   47.500    1.0\n",
-       "2-stage-model beta_[trt]    -10.108  0.320 -10.696   -9.506    1.0\n",
-       "              beta_[income] -10.629  0.191 -10.975  -10.252    1.0\n",
-       "              alpha_outcome  42.186  0.424  41.426   43.017    1.0\n",
-       "              beta_ps        -6.940  0.965  -8.787   -5.170    1.0"
+       "1-stage-model alpha_trt      -0.261  0.051  -0.351   -0.161    1.0\n",
+       "              beta_[trt]     -9.933  0.272 -10.461   -9.446    1.0\n",
+       "              beta_[income] -10.105  0.225 -10.537   -9.695    1.0\n",
+       "              beta_ps       -16.196  0.657 -17.454  -15.019    1.0\n",
+       "              alpha_outcome  46.576  0.401  45.876   47.392    1.0\n",
+       "2-stage-model beta_[trt]    -10.070  0.330 -10.684   -9.449    1.0\n",
+       "              beta_[income] -10.832  0.192 -11.209  -10.489    1.0\n",
+       "              alpha_outcome  41.255  0.410  40.486   42.030    1.0\n",
+       "              beta_ps        -4.823  0.931  -6.642   -3.111    1.0"
       ]
      },
      "execution_count": 19,
@@ -4852,13 +4752,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.182, 0.25 , 0.311, 0.37 , 0.43 , 0.5  , 0.571, 0.642, 0.727])\n",
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.5  , 0.571, 0.643, 0.727])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2e394b11-e32f-49c6-a2cd-5dc6fa455bb5' class='xr-array-in' type='checkbox' checked><label for='section-2e394b11-e32f-49c6-a2cd-5dc6fa455bb5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.182 0.25 0.311 0.37 0.43 0.5 0.571 0.642 0.727</span></div><div class='xr-array-data'><pre>array([0.182, 0.25 , 0.311, 0.37 , 0.43 , 0.5  , 0.571, 0.642, 0.727])</pre></div></div></li><li class='xr-section-item'><input id='section-858e1a7d-fce7-4662-a3c3-574f3c3b990b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-858e1a7d-fce7-4662-a3c3-574f3c3b990b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-359fe43c-840b-46b7-88b1-35944294ecb8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-359fe43c-840b-46b7-88b1-35944294ecb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-293a9344-6be3-4a22-8ed0-575b88d96621' class='xr-var-data-in' type='checkbox'><label for='data-293a9344-6be3-4a22-8ed0-575b88d96621' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abc0be84-c7e5-4d6a-bccd-cc1898dc9131' class='xr-section-summary-in' type='checkbox'  ><label for='section-abc0be84-c7e5-4d6a-bccd-cc1898dc9131' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5fb272cd-e74b-4c6c-baf2-43c8c3d9863c' class='xr-index-data-in' type='checkbox'/><label for='index-5fb272cd-e74b-4c6c-baf2-43c8c3d9863c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8dfba77-6086-497b-9f94-e67f8316e079' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b8dfba77-6086-497b-9f94-e67f8316e079' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3d87a6a5-9681-4802-aed2-27eea6b0f133' class='xr-array-in' type='checkbox' checked><label for='section-3d87a6a5-9681-4802-aed2-27eea6b0f133' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.249 0.31 0.37 0.43 0.5 0.571 0.643 0.727</span></div><div class='xr-array-data'><pre>array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.5  , 0.571, 0.643, 0.727])</pre></div></div></li><li class='xr-section-item'><input id='section-2e45c163-48f8-41f8-92f4-1ad053b88b8b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e45c163-48f8-41f8-92f4-1ad053b88b8b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-54dc92da-d1cd-4c86-89af-3f74774d65d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54dc92da-d1cd-4c86-89af-3f74774d65d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47dc1086-3bf6-4993-a371-ea47440eccf9' class='xr-var-data-in' type='checkbox'><label for='data-47dc1086-3bf6-4993-a371-ea47440eccf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45a5d6b7-6204-4fbd-9697-2c4562439d6f' class='xr-section-summary-in' type='checkbox'  ><label for='section-45a5d6b7-6204-4fbd-9697-2c4562439d6f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0ae06060-d328-4ed4-9d69-a1777b98c083' class='xr-index-data-in' type='checkbox'/><label for='index-0ae06060-d328-4ed4-9d69-a1777b98c083' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-980865a3-20c9-4945-b5e1-3b0e41b2ffe7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-980865a3-20c9-4945-b5e1-3b0e41b2ffe7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.182, 0.25 , 0.311, 0.37 , 0.43 , 0.5  , 0.571, 0.642, 0.727])\n",
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.5  , 0.571, 0.643, 0.727])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -5333,13 +5233,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.239, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
+       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fe9ca6d5-c11b-4572-a434-393cd3713b7e' class='xr-array-in' type='checkbox' checked><label for='section-fe9ca6d5-c11b-4572-a434-393cd3713b7e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.282 0.317 0.348 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-a336d4a4-6b3d-413d-8913-9a337370186b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a336d4a4-6b3d-413d-8913-9a337370186b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-17edd50c-1155-4d65-8157-9630c2fef18a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17edd50c-1155-4d65-8157-9630c2fef18a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-833fc2b9-c5e4-4e1f-ace5-ce3503e603d0' class='xr-var-data-in' type='checkbox'><label for='data-833fc2b9-c5e4-4e1f-ace5-ce3503e603d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce67a935-58dc-4e04-b4f2-7c558f31dac0' class='xr-section-summary-in' type='checkbox'  ><label for='section-ce67a935-58dc-4e04-b4f2-7c558f31dac0' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-43ab33ac-7e23-403d-8bd8-7170ea0b4463' class='xr-index-data-in' type='checkbox'/><label for='index-43ab33ac-7e23-403d-8bd8-7170ea0b4463' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82214ca8-8833-4afb-818f-e8741648e0cc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82214ca8-8833-4afb-818f-e8741648e0cc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b8f9bd34-4ef9-44a0-a946-cdf3c6de9538' class='xr-array-in' type='checkbox' checked><label for='section-b8f9bd34-4ef9-44a0-a946-cdf3c6de9538' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.283 0.317 0.349 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-1d895479-90c8-4b4d-8154-c9effa1aece3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1d895479-90c8-4b4d-8154-c9effa1aece3' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-2a2fce2b-d2c3-4ec9-ac3e-35f0a5ae5227' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a2fce2b-d2c3-4ec9-ac3e-35f0a5ae5227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4594fd8-fc33-4cfc-acc7-226f7a5f1ddf' class='xr-var-data-in' type='checkbox'><label for='data-a4594fd8-fc33-4cfc-acc7-226f7a5f1ddf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2ae258be-62d9-4661-afc3-53bc357701d1' class='xr-section-summary-in' type='checkbox'  ><label for='section-2ae258be-62d9-4661-afc3-53bc357701d1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a74f924b-a542-4195-9185-bf796fbebaae' class='xr-index-data-in' type='checkbox'/><label for='index-a74f924b-a542-4195-9185-bf796fbebaae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7b43668-1aa8-4a8a-ad35-99bb8c98358b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d7b43668-1aa8-4a8a-ad35-99bb8c98358b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.239, 0.282, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
+       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -5362,7 +5262,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5592,7 +5492,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "00003d35622f47f9b9a4bca0f4b00ebc",
+       "model_id": "ab149ef87dfc42568f65e49ad1ee652a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5607,10 +5507,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n",
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
@@ -5629,7 +5525,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 8 seconds.\n",
+      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 5 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -5641,7 +5537,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c20432f353a945ca9630ace61f076c61",
+       "model_id": "9033450736bb4fdfa65695e5aa2ee13d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5666,17 +5562,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 10 seconds.\n",
-      "Sampling: [alpha_outcome, beta_, beta_ps, like, sigma]\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_, beta_ps, alpha_outcome, sigma]\n"
+      "NUTS: [beta_std, beta_ps, alpha_outcome, beta_ps_spline, sigma]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7feeadecbafd4342bc28644b1d93ae15",
+       "model_id": "da98802451b746c5b2aa499a9fe0c68a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5701,26 +5597,26 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n"
      ]
     }
    ],
    "source": [
     "coords = {\n",
-    "    \"betas\": [\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
-    "    \"betas_trt\": [\"hispan\", \"white\", \"married\", \"nodegree\"],\n",
+    "    \"betas\": [\"treat\", \"nodegree\", \"married\"],\n",
+    "    \"betas_trt\": [\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"],\n",
     "    \"obs\": range(lalonde.shape[0]),\n",
     "}\n",
     "\n",
     "N = lalonde.shape[0]\n",
-    "X_trt = lalonde[[\"hispan\", \"white\", \"married\", \"nodegree\"]].astype(np.int32).values\n",
-    "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
-    "\n",
-    "X_outcome = (\n",
-    "    lalonde[[\"treat\", \"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
+    "X_trt = (\n",
+    "    lalonde[[\"age\", \"educ\", \"hispan\", \"white\", \"married\", \"nodegree\"]]\n",
     "    .astype(np.int32)\n",
     "    .values\n",
     ")\n",
+    "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
+    "\n",
+    "X_outcome = lalonde[[\"treat\", \"nodegree\", \"married\"]].astype(np.int32).values\n",
     "# X_outcome = (X_outcome - X_outcome.mean()) / X_outcome.std()\n",
     "T_data = lalonde[\"treat\"].values\n",
     "Y_data = lalonde[\"re78\"].values\n",
@@ -5746,7 +5642,9 @@
     "    idata_outcome_2s_lalonde,\n",
     "    treatment_model_lalonde,\n",
     "    outcome_model_lalonde,\n",
-    ") = make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)"
+    ") = make_2step_model(\n",
+    "    X_trt, X_outcome, T_data, Y_data, coords, priors=priors, spline_component=True\n",
+    ")"
    ]
   },
   {
@@ -5756,7 +5654,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5813,173 +5711,109 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"11\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.330</td>\n",
+       "      <td>-1.358</td>\n",
        "      <td>0.131</td>\n",
-       "      <td>-1.571</td>\n",
-       "      <td>-1.084</td>\n",
+       "      <td>-1.592</td>\n",
+       "      <td>-1.107</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>929.219</td>\n",
-       "      <td>700.280</td>\n",
-       "      <td>-379.917</td>\n",
-       "      <td>2233.618</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[age]</th>\n",
-       "      <td>29.835</td>\n",
-       "      <td>25.736</td>\n",
-       "      <td>-18.474</td>\n",
-       "      <td>78.330</td>\n",
+       "      <td>1588.058</td>\n",
+       "      <td>578.944</td>\n",
+       "      <td>498.157</td>\n",
+       "      <td>2642.806</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[educ]</th>\n",
-       "      <td>290.806</td>\n",
-       "      <td>70.929</td>\n",
-       "      <td>151.366</td>\n",
-       "      <td>419.420</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[hispan]</th>\n",
-       "      <td>1636.748</td>\n",
-       "      <td>871.987</td>\n",
-       "      <td>-77.031</td>\n",
-       "      <td>3181.353</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[white]</th>\n",
-       "      <td>1246.136</td>\n",
-       "      <td>672.070</td>\n",
-       "      <td>-58.491</td>\n",
-       "      <td>2451.236</td>\n",
+       "      <th>beta_[nodegree]</th>\n",
+       "      <td>-466.199</td>\n",
+       "      <td>492.107</td>\n",
+       "      <td>-1413.262</td>\n",
+       "      <td>475.159</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2083.568</td>\n",
-       "      <td>598.494</td>\n",
-       "      <td>1025.254</td>\n",
-       "      <td>3241.102</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[nodegree]</th>\n",
-       "      <td>-1087.876</td>\n",
-       "      <td>508.914</td>\n",
-       "      <td>-2036.595</td>\n",
-       "      <td>-144.515</td>\n",
+       "      <td>3929.440</td>\n",
+       "      <td>530.830</td>\n",
+       "      <td>2978.898</td>\n",
+       "      <td>4943.837</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.004</td>\n",
-       "      <td>0.982</td>\n",
-       "      <td>-1.716</td>\n",
-       "      <td>1.957</td>\n",
+       "      <td>0.020</td>\n",
+       "      <td>1.036</td>\n",
+       "      <td>-1.889</td>\n",
+       "      <td>1.927</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1788.026</td>\n",
-       "      <td>494.635</td>\n",
-       "      <td>881.826</td>\n",
-       "      <td>2728.994</td>\n",
+       "      <td>4323.971</td>\n",
+       "      <td>372.441</td>\n",
+       "      <td>3620.742</td>\n",
+       "      <td>4987.366</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6435.648</td>\n",
-       "      <td>149.666</td>\n",
-       "      <td>6162.281</td>\n",
-       "      <td>6720.479</td>\n",
+       "      <td>6568.568</td>\n",
+       "      <td>152.816</td>\n",
+       "      <td>6279.382</td>\n",
+       "      <td>6846.085</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"10\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"6\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>918.588</td>\n",
-       "      <td>706.084</td>\n",
-       "      <td>-448.316</td>\n",
-       "      <td>2194.279</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[age]</th>\n",
-       "      <td>30.251</td>\n",
-       "      <td>25.780</td>\n",
-       "      <td>-20.254</td>\n",
-       "      <td>77.792</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[educ]</th>\n",
-       "      <td>291.363</td>\n",
-       "      <td>72.018</td>\n",
-       "      <td>146.006</td>\n",
-       "      <td>416.194</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[hispan]</th>\n",
-       "      <td>1616.181</td>\n",
-       "      <td>870.522</td>\n",
-       "      <td>-70.641</td>\n",
-       "      <td>3185.314</td>\n",
+       "      <td>1594.757</td>\n",
+       "      <td>570.908</td>\n",
+       "      <td>527.141</td>\n",
+       "      <td>2667.278</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[white]</th>\n",
-       "      <td>1223.107</td>\n",
-       "      <td>688.867</td>\n",
-       "      <td>-74.421</td>\n",
-       "      <td>2530.206</td>\n",
+       "      <th>beta_[nodegree]</th>\n",
+       "      <td>-463.667</td>\n",
+       "      <td>493.692</td>\n",
+       "      <td>-1394.819</td>\n",
+       "      <td>461.513</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>2086.829</td>\n",
-       "      <td>600.523</td>\n",
-       "      <td>921.474</td>\n",
-       "      <td>3163.427</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>beta_[nodegree]</th>\n",
-       "      <td>-1097.309</td>\n",
-       "      <td>517.643</td>\n",
-       "      <td>-2044.014</td>\n",
-       "      <td>-99.083</td>\n",
+       "      <td>3933.080</td>\n",
+       "      <td>510.124</td>\n",
+       "      <td>2986.332</td>\n",
+       "      <td>4884.875</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.004</td>\n",
-       "      <td>1.014</td>\n",
-       "      <td>-1.933</td>\n",
-       "      <td>1.878</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>1.008</td>\n",
+       "      <td>-1.950</td>\n",
+       "      <td>1.876</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1791.350</td>\n",
-       "      <td>486.413</td>\n",
-       "      <td>889.301</td>\n",
-       "      <td>2701.627</td>\n",
+       "      <td>4321.163</td>\n",
+       "      <td>364.367</td>\n",
+       "      <td>3643.297</td>\n",
+       "      <td>5005.830</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6435.947</td>\n",
-       "      <td>148.118</td>\n",
-       "      <td>6164.476</td>\n",
-       "      <td>6714.604</td>\n",
+       "      <td>6569.405</td>\n",
+       "      <td>153.234</td>\n",
+       "      <td>6280.066</td>\n",
+       "      <td>6857.044</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -5988,27 +5822,19 @@
       ],
       "text/plain": [
        "                                   mean       sd    hdi_3%   hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt          -1.330    0.131    -1.571    -1.084    1.0\n",
-       "              beta_[treat]      929.219  700.280  -379.917  2233.618    1.0\n",
-       "              beta_[age]         29.835   25.736   -18.474    78.330    1.0\n",
-       "              beta_[educ]       290.806   70.929   151.366   419.420    1.0\n",
-       "              beta_[hispan]    1636.748  871.987   -77.031  3181.353    1.0\n",
-       "              beta_[white]     1246.136  672.070   -58.491  2451.236    1.0\n",
-       "              beta_[married]   2083.568  598.494  1025.254  3241.102    1.0\n",
-       "              beta_[nodegree] -1087.876  508.914 -2036.595  -144.515    1.0\n",
-       "              beta_ps            -0.004    0.982    -1.716     1.957    1.0\n",
-       "              alpha_outcome    1788.026  494.635   881.826  2728.994    1.0\n",
-       "              sigma            6435.648  149.666  6162.281  6720.479    1.0\n",
-       "2-stage-model beta_[treat]      918.588  706.084  -448.316  2194.279    1.0\n",
-       "              beta_[age]         30.251   25.780   -20.254    77.792    1.0\n",
-       "              beta_[educ]       291.363   72.018   146.006   416.194    1.0\n",
-       "              beta_[hispan]    1616.181  870.522   -70.641  3185.314    1.0\n",
-       "              beta_[white]     1223.107  688.867   -74.421  2530.206    1.0\n",
-       "              beta_[married]   2086.829  600.523   921.474  3163.427    1.0\n",
-       "              beta_[nodegree] -1097.309  517.643 -2044.014   -99.083    1.0\n",
-       "              beta_ps            -0.004    1.014    -1.933     1.878    1.0\n",
-       "              alpha_outcome    1791.350  486.413   889.301  2701.627    1.0\n",
-       "              sigma            6435.947  148.118  6164.476  6714.604    1.0"
+       "1-stage-model alpha_trt          -1.358    0.131    -1.592    -1.107    1.0\n",
+       "              beta_[treat]     1588.058  578.944   498.157  2642.806    1.0\n",
+       "              beta_[nodegree]  -466.199  492.107 -1413.262   475.159    1.0\n",
+       "              beta_[married]   3929.440  530.830  2978.898  4943.837    1.0\n",
+       "              beta_ps             0.020    1.036    -1.889     1.927    1.0\n",
+       "              alpha_outcome    4323.971  372.441  3620.742  4987.366    1.0\n",
+       "              sigma            6568.568  152.816  6279.382  6846.085    1.0\n",
+       "2-stage-model beta_[treat]     1594.757  570.908   527.141  2667.278    1.0\n",
+       "              beta_[nodegree]  -463.667  493.692 -1394.819   461.513    1.0\n",
+       "              beta_[married]   3933.080  510.124  2986.332  4884.875    1.0\n",
+       "              beta_ps             0.008    1.008    -1.950     1.876    1.0\n",
+       "              alpha_outcome    4321.163  364.367  3643.297  5005.830    1.0\n",
+       "              sigma            6569.405  153.234  6280.066  6857.044    1.0"
       ]
      },
      "execution_count": 27,
@@ -6046,7 +5872,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6063,7 +5889,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Both estimates of the treatment effects accord well with values in the literature. We can be happy that both models are picking up on the treatment effects reasonably despite having a minimalist propensity score model. This is because in the Bayesian setting the conditional distribution of $X, T$ are generally sufficient when there is no unmeasured confounders. Here the model just ignores the propensity score coefficients `beta_ps`"
+    "Both estimates of the treatment effects accord well with values in the literature. We can be happy that both models are picking up on the treatment effects reasonably well, despite having a minimalist outcome  model. This is because in the Bayesian setting the conditional distribution of $X, T$ are generally sufficient when there is no unmeasured confounders. Here the model somewhat ignores the propensity score coefficients `beta_ps`"
    ]
   },
   {
@@ -6201,7 +6027,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "174999a667974464be68e655a1e04126",
+       "model_id": "ed5d1d13d2a146748af566fb84cc7436",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6212,14 +6038,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -6246,7 +6064,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5a2cabaf40ff4e3ca5b9f1afcf167b95",
+       "model_id": "5fc6ced5e64b4f18ab24dbe8fe89f01e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6271,17 +6089,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 35 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 36 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma]\n"
+      "NUTS: [beta_std, beta_ps, alpha_outcome, beta_ps_spline, sigma]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "afe27c59d1ca44558e63c3a94a0e939d",
+       "model_id": "37bb8cf95a884486b9650ae2a761fb4f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6292,14 +6110,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -6314,7 +6124,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 19 seconds.\n"
      ]
     }
    ],
@@ -6405,7 +6215,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6472,123 +6282,123 @@
        "    <tr>\n",
        "      <th rowspan=\"8\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.153</td>\n",
-       "      <td>0.063</td>\n",
-       "      <td>-1.268</td>\n",
-       "      <td>-1.032</td>\n",
+       "      <td>-1.152</td>\n",
+       "      <td>0.062</td>\n",
+       "      <td>-1.269</td>\n",
+       "      <td>-1.037</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.819</td>\n",
-       "      <td>0.405</td>\n",
-       "      <td>2.091</td>\n",
-       "      <td>3.607</td>\n",
+       "      <td>2.811</td>\n",
+       "      <td>0.409</td>\n",
+       "      <td>2.048</td>\n",
+       "      <td>3.583</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.223</td>\n",
+       "      <td>-2.215</td>\n",
        "      <td>0.352</td>\n",
        "      <td>-2.888</td>\n",
-       "      <td>-1.562</td>\n",
+       "      <td>-1.566</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.305</td>\n",
+       "      <td>0.306</td>\n",
        "      <td>0.192</td>\n",
-       "      <td>-0.038</td>\n",
-       "      <td>0.680</td>\n",
+       "      <td>-0.042</td>\n",
+       "      <td>0.678</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.498</td>\n",
-       "      <td>0.344</td>\n",
-       "      <td>-0.135</td>\n",
-       "      <td>1.159</td>\n",
+       "      <td>0.493</td>\n",
+       "      <td>0.345</td>\n",
+       "      <td>-0.167</td>\n",
+       "      <td>1.120</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
        "      <td>-1.181</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-1.555</td>\n",
-       "      <td>-0.832</td>\n",
+       "      <td>0.194</td>\n",
+       "      <td>-1.538</td>\n",
+       "      <td>-0.813</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.086</td>\n",
-       "      <td>0.325</td>\n",
-       "      <td>1.480</td>\n",
-       "      <td>2.693</td>\n",
+       "      <td>2.088</td>\n",
+       "      <td>0.330</td>\n",
+       "      <td>1.501</td>\n",
+       "      <td>2.737</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.626</td>\n",
-       "      <td>0.983</td>\n",
-       "      <td>-2.447</td>\n",
-       "      <td>1.205</td>\n",
+       "      <td>-0.630</td>\n",
+       "      <td>0.982</td>\n",
+       "      <td>-2.505</td>\n",
+       "      <td>1.214</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.815</td>\n",
-       "      <td>0.394</td>\n",
-       "      <td>2.077</td>\n",
-       "      <td>3.548</td>\n",
+       "      <td>2.846</td>\n",
+       "      <td>0.403</td>\n",
+       "      <td>2.102</td>\n",
+       "      <td>3.621</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.247</td>\n",
-       "      <td>0.349</td>\n",
-       "      <td>-2.950</td>\n",
-       "      <td>-1.626</td>\n",
+       "      <td>-2.067</td>\n",
+       "      <td>0.362</td>\n",
+       "      <td>-2.745</td>\n",
+       "      <td>-1.397</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.312</td>\n",
-       "      <td>0.189</td>\n",
-       "      <td>-0.034</td>\n",
-       "      <td>0.672</td>\n",
+       "      <td>0.167</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>-0.217</td>\n",
+       "      <td>0.563</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.512</td>\n",
-       "      <td>0.343</td>\n",
-       "      <td>-0.129</td>\n",
-       "      <td>1.158</td>\n",
+       "      <td>0.464</td>\n",
+       "      <td>0.347</td>\n",
+       "      <td>-0.188</td>\n",
+       "      <td>1.120</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.184</td>\n",
-       "      <td>0.187</td>\n",
-       "      <td>-1.544</td>\n",
-       "      <td>-0.840</td>\n",
+       "      <td>-1.142</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>-1.498</td>\n",
+       "      <td>-0.772</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.067</td>\n",
-       "      <td>0.313</td>\n",
-       "      <td>1.483</td>\n",
-       "      <td>2.653</td>\n",
+       "      <td>1.954</td>\n",
+       "      <td>0.428</td>\n",
+       "      <td>1.144</td>\n",
+       "      <td>2.741</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.544</td>\n",
-       "      <td>0.927</td>\n",
-       "      <td>-2.363</td>\n",
-       "      <td>1.167</td>\n",
+       "      <td>-0.773</td>\n",
+       "      <td>0.914</td>\n",
+       "      <td>-2.432</td>\n",
+       "      <td>0.960</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6597,21 +6407,21 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt             -1.153  0.063  -1.268   -1.032    1.0\n",
-       "              beta_[trt]             2.819  0.405   2.091    3.607    1.0\n",
-       "              beta_[age]            -2.223  0.352  -2.888   -1.562    1.0\n",
-       "              beta_[smokeintensity]  0.305  0.192  -0.038    0.680    1.0\n",
-       "              beta_[smokeyrs]        0.498  0.344  -0.135    1.159    1.0\n",
-       "              beta_[wt71]           -1.181  0.195  -1.555   -0.832    1.0\n",
-       "              alpha_outcome          2.086  0.325   1.480    2.693    1.0\n",
-       "              beta_ps               -0.626  0.983  -2.447    1.205    1.0\n",
-       "2-stage-model beta_[trt]             2.815  0.394   2.077    3.548    1.0\n",
-       "              beta_[age]            -2.247  0.349  -2.950   -1.626    1.0\n",
-       "              beta_[smokeintensity]  0.312  0.189  -0.034    0.672    1.0\n",
-       "              beta_[smokeyrs]        0.512  0.343  -0.129    1.158    1.0\n",
-       "              beta_[wt71]           -1.184  0.187  -1.544   -0.840    1.0\n",
-       "              alpha_outcome          2.067  0.313   1.483    2.653    1.0\n",
-       "              beta_ps               -0.544  0.927  -2.363    1.167    1.0"
+       "1-stage-model alpha_trt             -1.152  0.062  -1.269   -1.037    1.0\n",
+       "              beta_[trt]             2.811  0.409   2.048    3.583    1.0\n",
+       "              beta_[age]            -2.215  0.352  -2.888   -1.566    1.0\n",
+       "              beta_[smokeintensity]  0.306  0.192  -0.042    0.678    1.0\n",
+       "              beta_[smokeyrs]        0.493  0.345  -0.167    1.120    1.0\n",
+       "              beta_[wt71]           -1.181  0.194  -1.538   -0.813    1.0\n",
+       "              alpha_outcome          2.088  0.330   1.501    2.737    1.0\n",
+       "              beta_ps               -0.630  0.982  -2.505    1.214    1.0\n",
+       "2-stage-model beta_[trt]             2.846  0.403   2.102    3.621    1.0\n",
+       "              beta_[age]            -2.067  0.362  -2.745   -1.397    1.0\n",
+       "              beta_[smokeintensity]  0.167  0.207  -0.217    0.563    1.0\n",
+       "              beta_[smokeyrs]        0.464  0.347  -0.188    1.120    1.0\n",
+       "              beta_[wt71]           -1.142  0.193  -1.498   -0.772    1.0\n",
+       "              alpha_outcome          1.954  0.428   1.144    2.741    1.0\n",
+       "              beta_ps               -0.773  0.914  -2.432    0.960    1.0"
       ]
      },
      "execution_count": 32,
@@ -6640,7 +6450,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6674,7 +6484,7 @@
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std]\n",
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n",
       "Sampling: [beta_std, t_pred]\n",
       "Sampling: [t_pred]\n"
      ]
@@ -6682,7 +6492,7 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x17e202120>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x14e5712b0>"
       ]
      },
      "execution_count": 34,
@@ -6779,7 +6589,7 @@
       "NUTS: [beta_std, beta_ps, a_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n",
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 19 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 20 seconds.\n"
      ]
     }
    ],
@@ -6841,194 +6651,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
-       "      <td>-0.011</td>\n",
-       "      <td>0.990</td>\n",
-       "      <td>-1.967</td>\n",
-       "      <td>1.761</td>\n",
-       "      <td>0.014</td>\n",
+       "      <td>0.023</td>\n",
+       "      <td>0.986</td>\n",
+       "      <td>-1.945</td>\n",
+       "      <td>1.806</td>\n",
+       "      <td>0.013</td>\n",
        "      <td>0.010</td>\n",
-       "      <td>5159.0</td>\n",
-       "      <td>5553.0</td>\n",
+       "      <td>5724.0</td>\n",
+       "      <td>5863.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.007</td>\n",
-       "      <td>0.353</td>\n",
-       "      <td>-2.699</td>\n",
-       "      <td>-1.370</td>\n",
-       "      <td>0.005</td>\n",
+       "      <td>-2.006</td>\n",
+       "      <td>0.349</td>\n",
+       "      <td>-2.668</td>\n",
+       "      <td>-1.355</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5353.0</td>\n",
-       "      <td>6053.0</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>6176.0</td>\n",
+       "      <td>5688.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>0.162</td>\n",
-       "      <td>0.194</td>\n",
-       "      <td>-0.203</td>\n",
-       "      <td>0.521</td>\n",
+       "      <td>0.161</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-0.199</td>\n",
+       "      <td>0.536</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8229.0</td>\n",
-       "      <td>6168.0</td>\n",
+       "      <td>7285.0</td>\n",
+       "      <td>5751.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-0.722</td>\n",
-       "      <td>0.219</td>\n",
-       "      <td>-1.128</td>\n",
-       "      <td>-0.303</td>\n",
+       "      <td>-0.731</td>\n",
+       "      <td>0.228</td>\n",
+       "      <td>-1.158</td>\n",
+       "      <td>-0.306</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6875.0</td>\n",
-       "      <td>6242.0</td>\n",
+       "      <td>5553.0</td>\n",
+       "      <td>5554.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.222</td>\n",
-       "      <td>0.197</td>\n",
-       "      <td>-0.152</td>\n",
-       "      <td>0.584</td>\n",
+       "      <td>0.213</td>\n",
+       "      <td>0.206</td>\n",
+       "      <td>-0.173</td>\n",
+       "      <td>0.591</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8651.0</td>\n",
-       "      <td>6256.0</td>\n",
+       "      <td>7674.0</td>\n",
+       "      <td>6031.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.275</td>\n",
-       "      <td>0.354</td>\n",
-       "      <td>-0.383</td>\n",
-       "      <td>0.935</td>\n",
+       "      <td>0.278</td>\n",
+       "      <td>0.351</td>\n",
+       "      <td>-0.389</td>\n",
+       "      <td>0.942</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5300.0</td>\n",
-       "      <td>5483.0</td>\n",
+       "      <td>5891.0</td>\n",
+       "      <td>5632.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.448</td>\n",
-       "      <td>0.204</td>\n",
-       "      <td>-1.846</td>\n",
-       "      <td>-1.083</td>\n",
+       "      <td>-1.445</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>-1.818</td>\n",
+       "      <td>-1.044</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8464.0</td>\n",
-       "      <td>6411.0</td>\n",
+       "      <td>8733.0</td>\n",
+       "      <td>6414.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.529</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>-0.917</td>\n",
-       "      <td>-0.160</td>\n",
+       "      <td>-0.528</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>-0.919</td>\n",
+       "      <td>-0.164</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7727.0</td>\n",
-       "      <td>5667.0</td>\n",
+       "      <td>8093.0</td>\n",
+       "      <td>6301.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
        "      <td>-0.113</td>\n",
-       "      <td>0.196</td>\n",
-       "      <td>-0.458</td>\n",
-       "      <td>0.287</td>\n",
+       "      <td>0.198</td>\n",
+       "      <td>-0.479</td>\n",
+       "      <td>0.259</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>9266.0</td>\n",
-       "      <td>6126.0</td>\n",
+       "      <td>9112.0</td>\n",
+       "      <td>6084.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.389</td>\n",
-       "      <td>0.236</td>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>0.836</td>\n",
+       "      <td>0.378</td>\n",
+       "      <td>0.242</td>\n",
+       "      <td>-0.077</td>\n",
+       "      <td>0.816</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5158.0</td>\n",
-       "      <td>6085.0</td>\n",
+       "      <td>5607.0</td>\n",
+       "      <td>6122.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.367</td>\n",
-       "      <td>0.260</td>\n",
-       "      <td>-0.089</td>\n",
-       "      <td>0.899</td>\n",
+       "      <td>0.359</td>\n",
+       "      <td>0.261</td>\n",
+       "      <td>-0.121</td>\n",
+       "      <td>0.861</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4911.0</td>\n",
-       "      <td>6181.0</td>\n",
+       "      <td>5467.0</td>\n",
+       "      <td>5728.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.365</td>\n",
-       "      <td>0.216</td>\n",
-       "      <td>-0.021</td>\n",
-       "      <td>0.786</td>\n",
+       "      <td>0.357</td>\n",
+       "      <td>0.215</td>\n",
+       "      <td>-0.041</td>\n",
+       "      <td>0.767</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5407.0</td>\n",
-       "      <td>6062.0</td>\n",
+       "      <td>6911.0</td>\n",
+       "      <td>5764.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.024</td>\n",
-       "      <td>0.226</td>\n",
-       "      <td>-0.432</td>\n",
-       "      <td>0.405</td>\n",
+       "      <td>-0.030</td>\n",
+       "      <td>0.223</td>\n",
+       "      <td>-0.446</td>\n",
+       "      <td>0.386</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5665.0</td>\n",
-       "      <td>6216.0</td>\n",
+       "      <td>6309.0</td>\n",
+       "      <td>6870.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.175</td>\n",
-       "      <td>0.252</td>\n",
+       "      <td>0.180</td>\n",
+       "      <td>0.255</td>\n",
        "      <td>-0.302</td>\n",
-       "      <td>0.644</td>\n",
+       "      <td>0.649</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6162.0</td>\n",
-       "      <td>6370.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>5963.0</td>\n",
+       "      <td>6222.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.198</td>\n",
-       "      <td>0.259</td>\n",
-       "      <td>-0.272</td>\n",
-       "      <td>0.701</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>0.265</td>\n",
+       "      <td>-0.304</td>\n",
+       "      <td>0.686</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6262.0</td>\n",
-       "      <td>6004.0</td>\n",
+       "      <td>5143.0</td>\n",
+       "      <td>5462.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.791</td>\n",
-       "      <td>0.401</td>\n",
-       "      <td>2.051</td>\n",
-       "      <td>3.560</td>\n",
+       "      <td>2.797</td>\n",
+       "      <td>0.402</td>\n",
+       "      <td>2.050</td>\n",
+       "      <td>3.548</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>10226.0</td>\n",
-       "      <td>5394.0</td>\n",
+       "      <td>11315.0</td>\n",
+       "      <td>6352.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -7037,40 +6847,40 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]      -0.011  0.990  -1.967    1.761      0.014    0.010   \n",
-       "beta_[age]            -2.007  0.353  -2.699   -1.370      0.005    0.004   \n",
-       "beta_[race]            0.162  0.194  -0.203    0.521      0.002    0.002   \n",
-       "beta_[sex]            -0.722  0.219  -1.128   -0.303      0.003    0.002   \n",
-       "beta_[smokeintensity]  0.222  0.197  -0.152    0.584      0.002    0.002   \n",
-       "beta_[smokeyrs]        0.275  0.354  -0.383    0.935      0.005    0.004   \n",
-       "beta_[wt71]           -1.448  0.204  -1.846   -1.083      0.002    0.002   \n",
-       "beta_[active_1]       -0.529  0.200  -0.917   -0.160      0.002    0.002   \n",
-       "beta_[active_2]       -0.113  0.196  -0.458    0.287      0.002    0.002   \n",
-       "beta_[education_2]     0.389  0.236  -0.047    0.836      0.003    0.002   \n",
-       "beta_[education_3]     0.367  0.260  -0.089    0.899      0.004    0.002   \n",
-       "beta_[education_4]     0.365  0.216  -0.021    0.786      0.003    0.002   \n",
-       "beta_[education_5]    -0.024  0.226  -0.432    0.405      0.003    0.002   \n",
-       "beta_[exercise_1]      0.175  0.252  -0.302    0.644      0.003    0.002   \n",
-       "beta_[exercise_2]      0.198  0.259  -0.272    0.701      0.003    0.002   \n",
-       "beta_[trt]             2.791  0.401   2.051    3.560      0.004    0.005   \n",
+       "beta_[Intercept]       0.023  0.986  -1.945    1.806      0.013    0.010   \n",
+       "beta_[age]            -2.006  0.349  -2.668   -1.355      0.004    0.004   \n",
+       "beta_[race]            0.161  0.195  -0.199    0.536      0.002    0.002   \n",
+       "beta_[sex]            -0.731  0.228  -1.158   -0.306      0.003    0.002   \n",
+       "beta_[smokeintensity]  0.213  0.206  -0.173    0.591      0.002    0.002   \n",
+       "beta_[smokeyrs]        0.278  0.351  -0.389    0.942      0.005    0.004   \n",
+       "beta_[wt71]           -1.445  0.207  -1.818   -1.044      0.002    0.002   \n",
+       "beta_[active_1]       -0.528  0.201  -0.919   -0.164      0.002    0.002   \n",
+       "beta_[active_2]       -0.113  0.198  -0.479    0.259      0.002    0.002   \n",
+       "beta_[education_2]     0.378  0.242  -0.077    0.816      0.003    0.002   \n",
+       "beta_[education_3]     0.359  0.261  -0.121    0.861      0.004    0.002   \n",
+       "beta_[education_4]     0.357  0.215  -0.041    0.767      0.003    0.002   \n",
+       "beta_[education_5]    -0.030  0.223  -0.446    0.386      0.003    0.002   \n",
+       "beta_[exercise_1]      0.180  0.255  -0.302    0.649      0.003    0.003   \n",
+       "beta_[exercise_2]      0.207  0.265  -0.304    0.686      0.004    0.003   \n",
+       "beta_[trt]             2.797  0.402   2.050    3.548      0.004    0.005   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]         5159.0    5553.0    1.0  \n",
-       "beta_[age]               5353.0    6053.0    1.0  \n",
-       "beta_[race]              8229.0    6168.0    1.0  \n",
-       "beta_[sex]               6875.0    6242.0    1.0  \n",
-       "beta_[smokeintensity]    8651.0    6256.0    1.0  \n",
-       "beta_[smokeyrs]          5300.0    5483.0    1.0  \n",
-       "beta_[wt71]              8464.0    6411.0    1.0  \n",
-       "beta_[active_1]          7727.0    5667.0    1.0  \n",
-       "beta_[active_2]          9266.0    6126.0    1.0  \n",
-       "beta_[education_2]       5158.0    6085.0    1.0  \n",
-       "beta_[education_3]       4911.0    6181.0    1.0  \n",
-       "beta_[education_4]       5407.0    6062.0    1.0  \n",
-       "beta_[education_5]       5665.0    6216.0    1.0  \n",
-       "beta_[exercise_1]        6162.0    6370.0    1.0  \n",
-       "beta_[exercise_2]        6262.0    6004.0    1.0  \n",
-       "beta_[trt]              10226.0    5394.0    1.0  "
+       "beta_[Intercept]         5724.0    5863.0    1.0  \n",
+       "beta_[age]               6176.0    5688.0    1.0  \n",
+       "beta_[race]              7285.0    5751.0    1.0  \n",
+       "beta_[sex]               5553.0    5554.0    1.0  \n",
+       "beta_[smokeintensity]    7674.0    6031.0    1.0  \n",
+       "beta_[smokeyrs]          5891.0    5632.0    1.0  \n",
+       "beta_[wt71]              8733.0    6414.0    1.0  \n",
+       "beta_[active_1]          8093.0    6301.0    1.0  \n",
+       "beta_[active_2]          9112.0    6084.0    1.0  \n",
+       "beta_[education_2]       5607.0    6122.0    1.0  \n",
+       "beta_[education_3]       5467.0    5728.0    1.0  \n",
+       "beta_[education_4]       6911.0    5764.0    1.0  \n",
+       "beta_[education_5]       6309.0    6870.0    1.0  \n",
+       "beta_[exercise_1]        5963.0    6222.0    1.0  \n",
+       "beta_[exercise_2]        5143.0    5462.0    1.0  \n",
+       "beta_[trt]              11315.0    6352.0    1.0  "
       ]
      },
      "execution_count": 37,
@@ -7089,7 +6899,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -7122,7 +6932,7 @@
     "However, this joint approach introduces a feedback loop: the outcome $Y$ can influence the estimation of the treatment mechanism $P(T | X)$. This violates the original logic of design-based inference, where treatment assignment should be modeled independently of the observed outcomes. This phenomenon is often subtle but can lead to biased treatment effect estimates.\n",
     "\n",
     "Across several examples, we have shown that fitting a full joint model distorts the treatment effect estimate relative to a two-step (modular) approach.\n",
-    "In other cases, joint and modular approaches yield nearly identical estimates — usually when the treatment mechanism is well-identified from covariates alone. With these observations in scope, we recommend that practitioners generally follow a two-step or modular approach. Either two-stage inverse propensity score weighting or regression adjustment with the propensity score as an additional covariate. Both methods are available now in `CausalPy`. \n",
+    "In other cases, joint and modular approaches yield nearly identical estimates — usually when the outcome is well-identified from covariates alone. With these observations in scope, we recommend that practitioners generally follow a two-step or modular approach. Either two-stage inverse propensity score weighting or regression adjustment with the propensity score as an additional covariate. Both methods are available now in `CausalPy`. \n",
     "\n",
     "Framed this way we can see that joint model violates the temporal precedence of the treatment assignment and outcome process. The 2-stage Bayesian procedures ensure that the causal ordering encoded in the actual data generating process is respected in the estimation process. The confounding adjustment achieved with propensity score must occur without access to information about the outcome. A well-specified propensity score model can substantially improve causal estimates (as we've seen), especially when the outcome model is weak or mis-specified. This allows for a form of __doubly-robust inference__. Propensity scores do not only serve to reduce dimensionality; they formalize the treatment mechanism and encode information that the outcome model might fail to recover. This explains their continued prominence in modern causal inference and usefulness in the Bayesian setting.\n",
     "\n",
@@ -7148,7 +6958,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: Sat Jul 12 2025\n",
+      "Last updated: Sun Jul 13 2025\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.13.5\n",
@@ -7157,12 +6967,12 @@
       "pytensor: 2.31.7\n",
       "xarray  : 2025.7.0\n",
       "\n",
-      "causalpy  : 0.4.2\n",
-      "patsy     : 1.0.1\n",
-      "numpy     : 2.3.1\n",
-      "pymc      : 5.23.0\n",
       "arviz     : 0.21.0\n",
       "matplotlib: 3.10.3\n",
+      "numpy     : 2.3.1\n",
+      "causalpy  : 0.4.2\n",
+      "pymc      : 5.23.0\n",
+      "patsy     : 1.0.1\n",
       "pandas    : 2.3.1\n",
       "\n",
       "Watermark: 2.5.0\n",

From 855b4995ed21bb92b75c2ae04e9dd6609717f0eb Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sun, 13 Jul 2025 07:06:18 +0100
Subject: [PATCH 22/31] demonstrate the usefulness of spline component

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 351 ++++++++++++++------
 1 file changed, 258 insertions(+), 93 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 93f0e31c..945f7a77 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -114,43 +114,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.743621</td>\n",
-       "      <td>0.545449</td>\n",
-       "      <td>0.326051</td>\n",
+       "      <td>-0.502023</td>\n",
+       "      <td>0.192029</td>\n",
+       "      <td>0.678994</td>\n",
        "      <td>1</td>\n",
-       "      <td>3.591779</td>\n",
+       "      <td>-0.277630</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.572511</td>\n",
-       "      <td>0.815017</td>\n",
-       "      <td>0.610170</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.033276</td>\n",
+       "      <td>0.340647</td>\n",
+       "      <td>-1.922940</td>\n",
+       "      <td>0.759057</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1.770744</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>-0.952942</td>\n",
-       "      <td>-0.866177</td>\n",
-       "      <td>0.405348</td>\n",
+       "      <td>-0.514243</td>\n",
+       "      <td>-0.200320</td>\n",
+       "      <td>0.299762</td>\n",
        "      <td>0</td>\n",
-       "      <td>-1.441161</td>\n",
+       "      <td>-1.121410</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-0.370557</td>\n",
-       "      <td>1.596351</td>\n",
-       "      <td>-1.109556</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5.942728</td>\n",
+       "      <td>-0.732506</td>\n",
+       "      <td>-1.039035</td>\n",
+       "      <td>-0.426522</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.722681</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>0.094774</td>\n",
-       "      <td>-1.820591</td>\n",
-       "      <td>1.126502</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-2.950210</td>\n",
+       "      <td>-0.462020</td>\n",
+       "      <td>0.707504</td>\n",
+       "      <td>-0.351415</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.565342</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -158,14 +158,14 @@
       ],
       "text/plain": [
        "         x1        x2        x3  trt   outcome\n",
-       "0  0.743621  0.545449  0.326051    1  3.591779\n",
-       "1  0.572511  0.815017  0.610170    1  2.033276\n",
-       "2 -0.952942 -0.866177  0.405348    0 -1.441161\n",
-       "3 -0.370557  1.596351 -1.109556    1  5.942728\n",
-       "4  0.094774 -1.820591  1.126502    0 -2.950210"
+       "0 -0.502023  0.192029  0.678994    1 -0.277630\n",
+       "1  0.340647 -1.922940  0.759057    0 -1.770744\n",
+       "2 -0.514243 -0.200320  0.299762    0 -1.121410\n",
+       "3 -0.732506 -1.039035 -0.426522    0  0.722681\n",
+       "4 -0.462020  0.707504 -0.351415    1  3.565342"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
@@ -470,10 +470,10 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x149a8aba0>"
+       "<graphviz.graphs.Digraph at 0x1584a0500>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -590,7 +590,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -725,10 +725,10 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x14dd6e690>"
+       "<graphviz.graphs.Digraph at 0x16b7d1790>"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -889,7 +889,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 50,
    "metadata": {
     "tags": [
      "hide-output"
@@ -910,7 +910,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0e6a488ed0454984a4d5d51da5e3c487",
+       "model_id": "5cd3660d21034be6afef20f37c1c0868",
        "version_major": 2,
        "version_minor": 0
       },
@@ -929,6 +929,14 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -955,7 +963,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fb045580de654250835146c1b3aee4a9",
+       "model_id": "f6bb2c81297b49b49c3741fe525b973e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -980,7 +988,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 17 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -990,7 +998,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5c4b5a3a422240e982c1a59dd6075bfd",
+       "model_id": "1a7dd15be2cc48dd9b71dd89b122a4dc",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1015,7 +1023,103 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n",
+      "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_std, alpha_trt]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a7f5f75ddb2e4cbd94fe17c9049b7c8c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_std, beta_ps, alpha_outcome, beta_ps_spline, sigma]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "bb41765164e74909908a377e8f372d42",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 53 seconds.\n"
      ]
     }
    ],
@@ -1038,19 +1142,30 @@
     "    idata_outcome_2s_joint,\n",
     "    treatment_model_joint,\n",
     "    outcome_model_joint,\n",
-    ") = make_2step_model(X_trt, X_outcome, T_data, Y_data, coords, priors)"
+    ") = make_2step_model(\n",
+    "    X_trt, X_outcome, T_data, Y_data, coords, priors, spline_component=False\n",
+    ")\n",
+    "\n",
+    "(\n",
+    "    idata_treatment_2s_joint_spline,\n",
+    "    idata_outcome_2s_joint_spline,\n",
+    "    treatment_model_joint_spline,\n",
+    "    outcome_model_joint_spline,\n",
+    ") = make_2step_model(\n",
+    "    X_trt, X_outcome, T_data, Y_data, coords, priors, spline_component=True\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 1000x400 with 1 Axes>"
+       "<Figure size 1000x500 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1059,11 +1174,11 @@
    ],
    "source": [
     "ax = az.plot_forest(\n",
-    "    [idata_outcome_2s_joint, idata_joint],\n",
+    "    [idata_outcome_2s_joint, idata_outcome_2s_joint_spline, idata_joint],\n",
     "    var_names=[\"beta_\"],\n",
-    "    model_names=[\"2 Stage\", \"1 Stage\"],\n",
+    "    model_names=[\"2 Stage\", \"2 Stage + Spline\", \"1 Stage\"],\n",
     "    combined=True,\n",
-    "    figsize=(10, 4),\n",
+    "    figsize=(10, 5),\n",
     ")\n",
     "\n",
     "ax[0].axvline(2, label=\"True Treatment Value\", color=\"k\")\n",
@@ -1072,7 +1187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
     {
@@ -1108,67 +1223,108 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>0.053</td>\n",
-       "      <td>0.022</td>\n",
-       "      <td>0.013</td>\n",
-       "      <td>0.094</td>\n",
+       "      <td>-0.006</td>\n",
+       "      <td>0.021</td>\n",
+       "      <td>-0.047</td>\n",
+       "      <td>0.033</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.375</td>\n",
-       "      <td>0.057</td>\n",
        "      <td>2.269</td>\n",
-       "      <td>2.481</td>\n",
+       "      <td>0.057</td>\n",
+       "      <td>2.164</td>\n",
+       "      <td>2.374</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.262</td>\n",
-       "      <td>0.067</td>\n",
-       "      <td>1.135</td>\n",
-       "      <td>1.388</td>\n",
+       "      <td>1.244</td>\n",
+       "      <td>0.069</td>\n",
+       "      <td>1.113</td>\n",
+       "      <td>1.370</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-14.841</td>\n",
-       "      <td>0.283</td>\n",
-       "      <td>-15.409</td>\n",
-       "      <td>-14.339</td>\n",
+       "      <td>-15.668</td>\n",
+       "      <td>0.293</td>\n",
+       "      <td>-16.238</td>\n",
+       "      <td>-15.143</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.409</td>\n",
-       "      <td>0.161</td>\n",
-       "      <td>8.117</td>\n",
-       "      <td>8.714</td>\n",
+       "      <td>8.676</td>\n",
+       "      <td>0.160</td>\n",
+       "      <td>8.359</td>\n",
+       "      <td>8.960</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"3\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.857</td>\n",
+       "      <td>1.953</td>\n",
        "      <td>0.188</td>\n",
-       "      <td>1.516</td>\n",
-       "      <td>2.224</td>\n",
+       "      <td>1.616</td>\n",
+       "      <td>2.322</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.175</td>\n",
-       "      <td>0.041</td>\n",
-       "      <td>1.096</td>\n",
-       "      <td>1.249</td>\n",
+       "      <td>1.130</td>\n",
+       "      <td>0.042</td>\n",
+       "      <td>1.052</td>\n",
+       "      <td>1.208</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.989</td>\n",
-       "      <td>0.059</td>\n",
-       "      <td>2.876</td>\n",
-       "      <td>3.097</td>\n",
+       "      <td>3.123</td>\n",
+       "      <td>0.061</td>\n",
+       "      <td>3.008</td>\n",
+       "      <td>3.238</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-4.160</td>\n",
+       "      <td>0.208</td>\n",
+       "      <td>-4.549</td>\n",
+       "      <td>-3.766</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"4\" valign=\"top\">2-stage-model_spline</th>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>2.009</td>\n",
+       "      <td>0.185</td>\n",
+       "      <td>1.661</td>\n",
+       "      <td>2.353</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x1]</th>\n",
+       "      <td>1.134</td>\n",
+       "      <td>0.039</td>\n",
+       "      <td>1.062</td>\n",
+       "      <td>1.209</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>1.666</td>\n",
+       "      <td>0.301</td>\n",
+       "      <td>1.096</td>\n",
+       "      <td>2.222</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_ps</th>\n",
+       "      <td>-1.414</td>\n",
+       "      <td>0.510</td>\n",
+       "      <td>-2.394</td>\n",
+       "      <td>-0.487</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1176,18 +1332,23 @@
        "</div>"
       ],
       "text/plain": [
-       "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt       0.053  0.022   0.013    0.094    1.0\n",
-       "              beta_[trt]      2.375  0.057   2.269    2.481    1.0\n",
-       "              beta_[x1]       1.262  0.067   1.135    1.388    1.0\n",
-       "              beta_ps       -14.841  0.283 -15.409  -14.339    1.0\n",
-       "              alpha_outcome   8.409  0.161   8.117    8.714    1.0\n",
-       "2-stage-model beta_[trt]      1.857  0.188   1.516    2.224    1.0\n",
-       "              beta_[x1]       1.175  0.041   1.096    1.249    1.0\n",
-       "              alpha_outcome   2.989  0.059   2.876    3.097    1.0"
+       "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
+       "1-stage-model        alpha_trt      -0.006  0.021  -0.047    0.033    1.0\n",
+       "                     beta_[trt]      2.269  0.057   2.164    2.374    1.0\n",
+       "                     beta_[x1]       1.244  0.069   1.113    1.370    1.0\n",
+       "                     beta_ps       -15.668  0.293 -16.238  -15.143    1.0\n",
+       "                     alpha_outcome   8.676  0.160   8.359    8.960    1.0\n",
+       "2-stage-model        beta_[trt]      1.953  0.188   1.616    2.322    1.0\n",
+       "                     beta_[x1]       1.130  0.042   1.052    1.208    1.0\n",
+       "                     alpha_outcome   3.123  0.061   3.008    3.238    1.0\n",
+       "                     beta_ps        -4.160  0.208  -4.549   -3.766    1.0\n",
+       "2-stage-model_spline beta_[trt]      2.009  0.185   1.661    2.353    1.0\n",
+       "                     beta_[x1]       1.134  0.039   1.062    1.209    1.0\n",
+       "                     alpha_outcome   1.666  0.301   1.096    2.222    1.0\n",
+       "                     beta_ps        -1.414  0.510  -2.394   -0.487    1.0"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1199,7 +1360,11 @@
     "            idata_joint, var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"]\n",
     "        ),\n",
     "        \"2-stage-model\": az.summary(\n",
-    "            idata_outcome_2s_joint, var_names=[\"beta_\", \"alpha_outcome\"]\n",
+    "            idata_outcome_2s_joint, var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"]\n",
+    "        ),\n",
+    "        \"2-stage-model_spline\": az.summary(\n",
+    "            idata_outcome_2s_joint_spline,\n",
+    "            var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"],\n",
     "        ),\n",
     "    }\n",
     ")\n",
@@ -1210,7 +1375,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Here the models fail to recover substantially similar and correct results. This is interesting and demonstrates a key property of propensity scores in the Bayesian setting. \n",
+    "Here the models fail to recover substantially similar and correct results. However the 2-stage models seem to perform better and adding in a spline function of the propensity score allows for true parameter recovery. This is interesting and demonstrates a key property of propensity scores in the Bayesian setting. \n",
     "\n",
     "### The Problem of Feedback\n",
     "\n",

From 6160a3f2f96f484f1cc9d8878746e34d69b26ad6 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sun, 13 Jul 2025 07:20:42 +0100
Subject: [PATCH 23/31] update colour scheme on graphs

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 1421 +++++++++++--------
 1 file changed, 805 insertions(+), 616 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 945f7a77..f56e29df 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -114,43 +114,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>-0.502023</td>\n",
-       "      <td>0.192029</td>\n",
-       "      <td>0.678994</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-0.277630</td>\n",
+       "      <td>1.823913</td>\n",
+       "      <td>0.119480</td>\n",
+       "      <td>-0.510815</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5.155954</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.340647</td>\n",
-       "      <td>-1.922940</td>\n",
-       "      <td>0.759057</td>\n",
+       "      <td>-1.992797</td>\n",
+       "      <td>-1.033228</td>\n",
+       "      <td>0.246864</td>\n",
        "      <td>0</td>\n",
-       "      <td>-1.770744</td>\n",
+       "      <td>-3.314327</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>-0.514243</td>\n",
-       "      <td>-0.200320</td>\n",
-       "      <td>0.299762</td>\n",
+       "      <td>0.611052</td>\n",
+       "      <td>-0.516168</td>\n",
+       "      <td>-0.444740</td>\n",
        "      <td>0</td>\n",
-       "      <td>-1.121410</td>\n",
+       "      <td>2.167504</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-0.732506</td>\n",
-       "      <td>-1.039035</td>\n",
-       "      <td>-0.426522</td>\n",
+       "      <td>-0.681399</td>\n",
+       "      <td>-1.471839</td>\n",
+       "      <td>0.061557</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.722681</td>\n",
+       "      <td>0.345197</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>-0.462020</td>\n",
-       "      <td>0.707504</td>\n",
-       "      <td>-0.351415</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3.565342</td>\n",
+       "      <td>0.849184</td>\n",
+       "      <td>-1.830455</td>\n",
+       "      <td>-0.213025</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.462785</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -158,14 +158,14 @@
       ],
       "text/plain": [
        "         x1        x2        x3  trt   outcome\n",
-       "0 -0.502023  0.192029  0.678994    1 -0.277630\n",
-       "1  0.340647 -1.922940  0.759057    0 -1.770744\n",
-       "2 -0.514243 -0.200320  0.299762    0 -1.121410\n",
-       "3 -0.732506 -1.039035 -0.426522    0  0.722681\n",
-       "4 -0.462020  0.707504 -0.351415    1  3.565342"
+       "0  1.823913  0.119480 -0.510815    0  5.155954\n",
+       "1 -1.992797 -1.033228  0.246864    0 -3.314327\n",
+       "2  0.611052 -0.516168 -0.444740    0  2.167504\n",
+       "3 -0.681399 -1.471839  0.061557    0  0.345197\n",
+       "4  0.849184 -1.830455 -0.213025    0  2.462785"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -236,7 +236,7 @@
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        "<g id=\"clust1\" class=\"cluster\">\n",
        "<title>cluster4000 x 3</title>\n",
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@@ -271,7 +271,7 @@
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-       "<g id=\"node7\" class=\"node\">\n",
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        "<!-- like -->\n",
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+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"107\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
+       "</g>\n",
+       "<!-- p&#45;&gt;t_pred -->\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
+       "<title>p&#45;&gt;t_pred</title>\n",
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-       "model_id": "a7f5f75ddb2e4cbd94fe17c9049b7c8c",
+       "model_id": "635fd114dfc34eac95db248508fd089a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1060,7 +1052,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 17 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -1070,7 +1062,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bb41765164e74909908a377e8f372d42",
+       "model_id": "c6df263077304e6796f1e4debffd44a1",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1097,14 +1089,6 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -1119,7 +1103,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 53 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 51 seconds.\n"
      ]
     }
    ],
@@ -1158,12 +1142,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1187,7 +1171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -1223,108 +1207,108 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.006</td>\n",
-       "      <td>0.021</td>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>0.033</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.022</td>\n",
+       "      <td>-0.038</td>\n",
+       "      <td>0.043</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.269</td>\n",
+       "      <td>2.308</td>\n",
        "      <td>0.057</td>\n",
-       "      <td>2.164</td>\n",
-       "      <td>2.374</td>\n",
+       "      <td>2.207</td>\n",
+       "      <td>2.421</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.244</td>\n",
-       "      <td>0.069</td>\n",
-       "      <td>1.113</td>\n",
-       "      <td>1.370</td>\n",
+       "      <td>1.309</td>\n",
+       "      <td>0.072</td>\n",
+       "      <td>1.177</td>\n",
+       "      <td>1.452</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-15.668</td>\n",
-       "      <td>0.293</td>\n",
-       "      <td>-16.238</td>\n",
-       "      <td>-15.143</td>\n",
+       "      <td>-15.640</td>\n",
+       "      <td>0.300</td>\n",
+       "      <td>-16.205</td>\n",
+       "      <td>-15.080</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.676</td>\n",
-       "      <td>0.160</td>\n",
-       "      <td>8.359</td>\n",
-       "      <td>8.960</td>\n",
+       "      <td>8.658</td>\n",
+       "      <td>0.163</td>\n",
+       "      <td>8.357</td>\n",
+       "      <td>8.968</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.953</td>\n",
-       "      <td>0.188</td>\n",
-       "      <td>1.616</td>\n",
-       "      <td>2.322</td>\n",
+       "      <td>1.801</td>\n",
+       "      <td>0.198</td>\n",
+       "      <td>1.428</td>\n",
+       "      <td>2.183</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.130</td>\n",
-       "      <td>0.042</td>\n",
-       "      <td>1.052</td>\n",
-       "      <td>1.208</td>\n",
+       "      <td>1.123</td>\n",
+       "      <td>0.041</td>\n",
+       "      <td>1.046</td>\n",
+       "      <td>1.200</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.123</td>\n",
+       "      <td>2.981</td>\n",
        "      <td>0.061</td>\n",
-       "      <td>3.008</td>\n",
-       "      <td>3.238</td>\n",
+       "      <td>2.870</td>\n",
+       "      <td>3.097</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-4.160</td>\n",
-       "      <td>0.208</td>\n",
-       "      <td>-4.549</td>\n",
-       "      <td>-3.766</td>\n",
+       "      <td>-3.708</td>\n",
+       "      <td>0.218</td>\n",
+       "      <td>-4.127</td>\n",
+       "      <td>-3.306</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model_spline</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.009</td>\n",
-       "      <td>0.185</td>\n",
-       "      <td>1.661</td>\n",
-       "      <td>2.353</td>\n",
+       "      <td>1.997</td>\n",
+       "      <td>0.194</td>\n",
+       "      <td>1.630</td>\n",
+       "      <td>2.357</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.134</td>\n",
+       "      <td>1.194</td>\n",
        "      <td>0.039</td>\n",
-       "      <td>1.062</td>\n",
-       "      <td>1.209</td>\n",
+       "      <td>1.120</td>\n",
+       "      <td>1.267</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.666</td>\n",
-       "      <td>0.301</td>\n",
-       "      <td>1.096</td>\n",
-       "      <td>2.222</td>\n",
+       "      <td>1.658</td>\n",
+       "      <td>0.294</td>\n",
+       "      <td>1.115</td>\n",
+       "      <td>2.215</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-1.414</td>\n",
-       "      <td>0.510</td>\n",
-       "      <td>-2.394</td>\n",
-       "      <td>-0.487</td>\n",
+       "      <td>-1.270</td>\n",
+       "      <td>0.509</td>\n",
+       "      <td>-2.252</td>\n",
+       "      <td>-0.325</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1333,22 +1317,22 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model        alpha_trt      -0.006  0.021  -0.047    0.033    1.0\n",
-       "                     beta_[trt]      2.269  0.057   2.164    2.374    1.0\n",
-       "                     beta_[x1]       1.244  0.069   1.113    1.370    1.0\n",
-       "                     beta_ps       -15.668  0.293 -16.238  -15.143    1.0\n",
-       "                     alpha_outcome   8.676  0.160   8.359    8.960    1.0\n",
-       "2-stage-model        beta_[trt]      1.953  0.188   1.616    2.322    1.0\n",
-       "                     beta_[x1]       1.130  0.042   1.052    1.208    1.0\n",
-       "                     alpha_outcome   3.123  0.061   3.008    3.238    1.0\n",
-       "                     beta_ps        -4.160  0.208  -4.549   -3.766    1.0\n",
-       "2-stage-model_spline beta_[trt]      2.009  0.185   1.661    2.353    1.0\n",
-       "                     beta_[x1]       1.134  0.039   1.062    1.209    1.0\n",
-       "                     alpha_outcome   1.666  0.301   1.096    2.222    1.0\n",
-       "                     beta_ps        -1.414  0.510  -2.394   -0.487    1.0"
+       "1-stage-model        alpha_trt       0.003  0.022  -0.038    0.043    1.0\n",
+       "                     beta_[trt]      2.308  0.057   2.207    2.421    1.0\n",
+       "                     beta_[x1]       1.309  0.072   1.177    1.452    1.0\n",
+       "                     beta_ps       -15.640  0.300 -16.205  -15.080    1.0\n",
+       "                     alpha_outcome   8.658  0.163   8.357    8.968    1.0\n",
+       "2-stage-model        beta_[trt]      1.801  0.198   1.428    2.183    1.0\n",
+       "                     beta_[x1]       1.123  0.041   1.046    1.200    1.0\n",
+       "                     alpha_outcome   2.981  0.061   2.870    3.097    1.0\n",
+       "                     beta_ps        -3.708  0.218  -4.127   -3.306    1.0\n",
+       "2-stage-model_spline beta_[trt]      1.997  0.194   1.630    2.357    1.0\n",
+       "                     beta_[x1]       1.194  0.039   1.120    1.267    1.0\n",
+       "                     alpha_outcome   1.658  0.294   1.115    2.215    1.0\n",
+       "                     beta_ps        -1.270  0.509  -2.252   -0.325    1.0"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1384,7 +1368,201 @@
     "\n",
     "**💡 Key Take-away:** With an underspecified outcome model, we may use a well specified propensity score for adjusting the model to retrieve accurate treatment effect estimates. However, this tends to breakdown if we have estimated both propensity score and outcome in a joint bayesian model due to feedback effects. The solution is to use the propensity score in a 2 stage fashion. \n",
     "\n",
-    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
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+   "source": [
+    "pm.model_to_graphviz(outcome_model_joint_spline)"
+   ]
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+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "#### Propensity Score Quantiles - Joint Model\n",
     "\n",
     "We can see how the different model specifications have yielded distinct propensity score estimates - as the joint specification seems to compensate for missing covariates in the outcome model by adjusting the propensity score latent in the treatment model too. We can see the differences in the quantiles to highlight a numeric difference in the propensity score distributions between the two models."
@@ -1842,13 +2020,13 @@
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+       "array([0.237, 0.319, 0.379, 0.442, 0.497, 0.552, 0.614, 0.68 , 0.764])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7048ba1f-b5e7-475c-bd18-5a1095210fd4' class='xr-array-in' type='checkbox' checked><label for='section-7048ba1f-b5e7-475c-bd18-5a1095210fd4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.237 0.323 0.393 0.452 0.515 0.576 0.64 0.706 0.783</span></div><div class='xr-array-data'><pre>array([0.237, 0.323, 0.393, 0.452, 0.515, 0.576, 0.64 , 0.706, 0.783])</pre></div></div></li><li class='xr-section-item'><input id='section-8f2af660-ca48-40ad-b7af-80c1045f2883' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8f2af660-ca48-40ad-b7af-80c1045f2883' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-8b71ec52-fef4-4b6f-9c2c-2a310f50edd5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b71ec52-fef4-4b6f-9c2c-2a310f50edd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89f21e55-b63d-4a59-9d3a-627e92fe7c53' class='xr-var-data-in' type='checkbox'><label for='data-89f21e55-b63d-4a59-9d3a-627e92fe7c53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9be1ee03-0d2d-40ae-ada6-f5ebd986cac5' class='xr-section-summary-in' type='checkbox'  ><label for='section-9be1ee03-0d2d-40ae-ada6-f5ebd986cac5' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e378da5d-01ef-4305-a029-1af1bd7c438c' class='xr-index-data-in' type='checkbox'/><label for='index-e378da5d-01ef-4305-a029-1af1bd7c438c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3638ea14-ea76-451e-9acd-e3f2d054637a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3638ea14-ea76-451e-9acd-e3f2d054637a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b448846c-31b7-4b22-aba1-aab24d5fdf50' class='xr-array-in' type='checkbox' checked><label for='section-b448846c-31b7-4b22-aba1-aab24d5fdf50' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.237 0.319 0.379 0.442 0.497 0.552 0.614 0.68 0.764</span></div><div class='xr-array-data'><pre>array([0.237, 0.319, 0.379, 0.442, 0.497, 0.552, 0.614, 0.68 , 0.764])</pre></div></div></li><li class='xr-section-item'><input id='section-597399a6-075f-4c0b-8da5-7bca8c370f59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-597399a6-075f-4c0b-8da5-7bca8c370f59' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-24dda61e-86c2-40b3-a2c9-4c98fa8e4494' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24dda61e-86c2-40b3-a2c9-4c98fa8e4494' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21988f63-9870-4e42-bb57-43a128e07c3e' class='xr-var-data-in' type='checkbox'><label for='data-21988f63-9870-4e42-bb57-43a128e07c3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90505547-830e-4c77-8071-4c9838b81a25' class='xr-section-summary-in' type='checkbox'  ><label for='section-90505547-830e-4c77-8071-4c9838b81a25' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9ec62803-05f3-4c06-afc2-97a399704f5e' class='xr-index-data-in' type='checkbox'/><label for='index-9ec62803-05f3-4c06-afc2-97a399704f5e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d3a7fc7-a822-427c-905d-6d8f84cb28c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9d3a7fc7-a822-427c-905d-6d8f84cb28c5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.237, 0.323, 0.393, 0.452, 0.515, 0.576, 0.64 , 0.706, 0.783])\n",
+       "array([0.237, 0.319, 0.379, 0.442, 0.497, 0.552, 0.614, 0.68 , 0.764])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -2325,13 +2503,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.   , 0.001, 0.018, 0.135, 0.548, 0.909, 0.987, 0.999, 1.   ])\n",
+       "array([0.   , 0.001, 0.012, 0.101, 0.478, 0.894, 0.988, 0.999, 1.   ])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a8f765b6-9e53-426a-853a-08b1683c9c79' class='xr-array-in' type='checkbox' checked><label for='section-a8f765b6-9e53-426a-853a-08b1683c9c79' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.018 0.135 0.548 0.909 0.987 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.018, 0.135, 0.548, 0.909, 0.987, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-ab6942ca-0537-465a-b634-25ac0e78af69' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ab6942ca-0537-465a-b634-25ac0e78af69' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-d99bbde5-f678-4d1c-ad6d-08afe07a070c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d99bbde5-f678-4d1c-ad6d-08afe07a070c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ed53255-6cda-4af2-addf-25852182a6be' class='xr-var-data-in' type='checkbox'><label for='data-3ed53255-6cda-4af2-addf-25852182a6be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6751da9a-c73b-4725-a74d-f68f06ff3f82' class='xr-section-summary-in' type='checkbox'  ><label for='section-6751da9a-c73b-4725-a74d-f68f06ff3f82' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-64cf5e95-7ead-4eee-854c-7ceb34df773f' class='xr-index-data-in' type='checkbox'/><label for='index-64cf5e95-7ead-4eee-854c-7ceb34df773f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b4615aee-5e18-4cf3-a672-e8e6e661bb34' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b4615aee-5e18-4cf3-a672-e8e6e661bb34' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-97a925b8-1e01-494f-a64b-cc07b7d93cbe' class='xr-array-in' type='checkbox' checked><label for='section-97a925b8-1e01-494f-a64b-cc07b7d93cbe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.012 0.101 0.478 0.894 0.988 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.012, 0.101, 0.478, 0.894, 0.988, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-26d389b7-729d-4e42-8da3-3f30e1487780' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26d389b7-729d-4e42-8da3-3f30e1487780' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-5b90818b-e3e7-4388-ab54-3cda6a3ec9be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b90818b-e3e7-4388-ab54-3cda6a3ec9be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5570d60f-1ccf-4056-835b-a70ffe3809b3' class='xr-var-data-in' type='checkbox'><label for='data-5570d60f-1ccf-4056-835b-a70ffe3809b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42272a9a-68d9-494c-bc03-9a1520e06fcc' class='xr-section-summary-in' type='checkbox'  ><label for='section-42272a9a-68d9-494c-bc03-9a1520e06fcc' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4a889b81-7c6e-4aed-b798-e49fbc7ab182' class='xr-index-data-in' type='checkbox'/><label for='index-4a889b81-7c6e-4aed-b798-e49fbc7ab182' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b50ae9cf-156a-42c8-8df0-df1100a1232e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b50ae9cf-156a-42c8-8df0-df1100a1232e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.   , 0.001, 0.018, 0.135, 0.548, 0.909, 0.987, 0.999, 1.   ])\n",
+       "array([0.   , 0.001, 0.012, 0.101, 0.478, 0.894, 0.988, 0.999, 1.   ])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -2363,7 +2541,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2380,7 +2558,10 @@
     "        s1 = idata_1s[\"posterior\"].stack(z=(\"chain\", \"draw\"))[\"p\"][:, i]\n",
     "        if i == 0:\n",
     "            ax.hist(\n",
-    "                s2, alpha=0.1, color=\"red\", label=\"Propensity Scores 2-stage Estimation\"\n",
+    "                s2,\n",
+    "                alpha=0.1,\n",
+    "                color=\"orange\",\n",
+    "                label=\"Propensity Scores 2-stage Estimation\",\n",
     "            )\n",
     "            # Pivoted to compare shape\n",
     "            ax.hist(\n",
@@ -2390,7 +2571,7 @@
     "                label=\"Propensity Scores 1-stage Estimation\",\n",
     "            )\n",
     "        else:\n",
-    "            ax.hist(s2, alpha=0.01, color=\"red\")\n",
+    "            ax.hist(s2, alpha=0.01, color=\"orange\")\n",
     "            # Pivoted to compare shape\n",
     "            ax.hist(1 - s1, alpha=0.01, color=\"blue\")\n",
     "    ax.legend()\n",
@@ -2453,7 +2634,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5ad46d6c5c69437b91f30052144d9559",
+       "model_id": "6748e47729734a798d695343da8b090f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2484,7 +2665,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "054cf8e2e253484eb0f9199ef6e78be4",
+       "model_id": "a2934d7b2e5d422999a6a1b97f61d59c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2981,11 +3162,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(3.18761295)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5abd8847-a986-49d1-ad37-6f99dce7f3a6' class='xr-array-in' type='checkbox' checked><label for='section-5abd8847-a986-49d1-ad37-6f99dce7f3a6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.188</span></div><div class='xr-array-data'><pre>array(3.18761295)</pre></div></div></li><li class='xr-section-item'><input id='section-32ca9f09-e7bd-438b-b3ac-f951318afcd7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-32ca9f09-e7bd-438b-b3ac-f951318afcd7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-99a4ef4a-4079-4655-aa4d-fcd6f8aa97f7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-99a4ef4a-4079-4655-aa4d-fcd6f8aa97f7' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-31cb7cee-521f-4812-bf0b-4d53239e2b16' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31cb7cee-521f-4812-bf0b-4d53239e2b16' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(3.18189298)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b7190af2-9399-4c15-a05c-2b3af47124c0' class='xr-array-in' type='checkbox' checked><label for='section-b7190af2-9399-4c15-a05c-2b3af47124c0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.182</span></div><div class='xr-array-data'><pre>array(3.18189298)</pre></div></div></li><li class='xr-section-item'><input id='section-03284b87-949c-42c7-99eb-199df8fcc2bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-03284b87-949c-42c7-99eb-199df8fcc2bf' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e6111207-005c-42e4-ba52-cbe6cac6a712' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6111207-005c-42e4-ba52-cbe6cac6a712' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-572567a8-b167-46c7-8c0f-dda09e6a0f94' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-572567a8-b167-46c7-8c0f-dda09e6a0f94' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(3.18761295)"
+       "array(3.18189298)"
       ]
      },
      "execution_count": 13,
@@ -3456,11 +3637,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(0.81308028)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-467aa2dc-9e4c-4654-b223-a1a9eb928388' class='xr-array-in' type='checkbox' checked><label for='section-467aa2dc-9e4c-4654-b223-a1a9eb928388' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.8131</span></div><div class='xr-array-data'><pre>array(0.81308028)</pre></div></div></li><li class='xr-section-item'><input id='section-b157cf48-0b58-4321-84f4-5854531b997d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b157cf48-0b58-4321-84f4-5854531b997d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4dc6db5f-1908-4b19-b556-1bc7b289f4d9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4dc6db5f-1908-4b19-b556-1bc7b289f4d9' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4416ccfd-bb28-4025-8e0a-dec378bc0846' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4416ccfd-bb28-4025-8e0a-dec378bc0846' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(0.87379974)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-44c873a2-dcb9-4c06-9013-2f012ad396b1' class='xr-array-in' type='checkbox' checked><label for='section-44c873a2-dcb9-4c06-9013-2f012ad396b1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.8738</span></div><div class='xr-array-data'><pre>array(0.87379974)</pre></div></div></li><li class='xr-section-item'><input id='section-4c1a3987-9d91-4c83-8bc0-aac75cc964da' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4c1a3987-9d91-4c83-8bc0-aac75cc964da' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0c50c3c4-b071-45b5-844d-63a00336c78e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c50c3c4-b071-45b5-844d-63a00336c78e' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a774fec7-738d-4f35-9b32-3d587c65ac3a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a774fec7-738d-4f35-9b32-3d587c65ac3a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(0.81308028)"
+       "array(0.87379974)"
       ]
      },
      "execution_count": 14,
@@ -3931,11 +4112,11 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(2.37453267)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-25cfcff3-ce52-4207-b36a-1a96a3904d0d' class='xr-array-in' type='checkbox' checked><label for='section-25cfcff3-ce52-4207-b36a-1a96a3904d0d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.375</span></div><div class='xr-array-data'><pre>array(2.37453267)</pre></div></div></li><li class='xr-section-item'><input id='section-903a5ea2-d7f3-49a2-a48d-272dcf789c97' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-903a5ea2-d7f3-49a2-a48d-272dcf789c97' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-185a3858-5c87-4dec-87f4-e2f2ec3b61be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-185a3858-5c87-4dec-87f4-e2f2ec3b61be' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fc9d442d-30a0-4f8f-8c28-20c6fbb943a7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc9d442d-30a0-4f8f-8c28-20c6fbb943a7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "array(2.30809323)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-df316e62-faa0-43da-90b8-09408bb85ee1' class='xr-array-in' type='checkbox' checked><label for='section-df316e62-faa0-43da-90b8-09408bb85ee1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.308</span></div><div class='xr-array-data'><pre>array(2.30809323)</pre></div></div></li><li class='xr-section-item'><input id='section-49260577-63d5-4f4f-a5bd-c25ed2606afc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-49260577-63d5-4f4f-a5bd-c25ed2606afc' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c4a4596c-67d7-4aa8-98e9-e490fa140c32' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4a4596c-67d7-4aa8-98e9-e490fa140c32' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1a8d2279-7cb0-442e-a987-4fed38400aa5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1a8d2279-7cb0-442e-a987-4fed38400aa5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(2.37453267)"
+       "array(2.30809323)"
       ]
      },
      "execution_count": 15,
@@ -4137,7 +4318,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "68770a48b5eb4a5092646227754b4a6d",
+       "model_id": "182a4075a44c4e3b939b591fe87c05e5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4162,7 +4343,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 15 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 16 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -4174,7 +4355,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e5e44faadc574fbe8c34f97f273ed221",
+       "model_id": "561847f2f5aa418398a2f0509603dc66",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4209,7 +4390,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5acafc2693004ad5ae5a9729184c21e1",
+       "model_id": "1ccae1effafb43c2ad65101b1b97c2e2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4283,7 +4464,7 @@
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4350,75 +4531,75 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.261</td>\n",
-       "      <td>0.051</td>\n",
-       "      <td>-0.351</td>\n",
-       "      <td>-0.161</td>\n",
+       "      <td>-0.260</td>\n",
+       "      <td>0.050</td>\n",
+       "      <td>-0.350</td>\n",
+       "      <td>-0.165</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.933</td>\n",
-       "      <td>0.272</td>\n",
-       "      <td>-10.461</td>\n",
-       "      <td>-9.446</td>\n",
+       "      <td>-9.936</td>\n",
+       "      <td>0.274</td>\n",
+       "      <td>-10.455</td>\n",
+       "      <td>-9.423</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.105</td>\n",
-       "      <td>0.225</td>\n",
-       "      <td>-10.537</td>\n",
-       "      <td>-9.695</td>\n",
+       "      <td>-10.095</td>\n",
+       "      <td>0.220</td>\n",
+       "      <td>-10.480</td>\n",
+       "      <td>-9.650</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-16.196</td>\n",
-       "      <td>0.657</td>\n",
-       "      <td>-17.454</td>\n",
-       "      <td>-15.019</td>\n",
+       "      <td>-16.231</td>\n",
+       "      <td>0.624</td>\n",
+       "      <td>-17.370</td>\n",
+       "      <td>-15.034</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.576</td>\n",
-       "      <td>0.401</td>\n",
-       "      <td>45.876</td>\n",
-       "      <td>47.392</td>\n",
+       "      <td>46.600</td>\n",
+       "      <td>0.389</td>\n",
+       "      <td>45.884</td>\n",
+       "      <td>47.340</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.070</td>\n",
-       "      <td>0.330</td>\n",
-       "      <td>-10.684</td>\n",
-       "      <td>-9.449</td>\n",
+       "      <td>-10.073</td>\n",
+       "      <td>0.325</td>\n",
+       "      <td>-10.741</td>\n",
+       "      <td>-9.512</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.832</td>\n",
-       "      <td>0.192</td>\n",
-       "      <td>-11.209</td>\n",
-       "      <td>-10.489</td>\n",
+       "      <td>-10.628</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>-11.001</td>\n",
+       "      <td>-10.261</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>41.255</td>\n",
-       "      <td>0.410</td>\n",
-       "      <td>40.486</td>\n",
-       "      <td>42.030</td>\n",
+       "      <td>41.757</td>\n",
+       "      <td>0.426</td>\n",
+       "      <td>40.960</td>\n",
+       "      <td>42.558</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-4.823</td>\n",
-       "      <td>0.931</td>\n",
-       "      <td>-6.642</td>\n",
-       "      <td>-3.111</td>\n",
+       "      <td>-5.826</td>\n",
+       "      <td>0.943</td>\n",
+       "      <td>-7.590</td>\n",
+       "      <td>-4.015</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4427,15 +4608,15 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt      -0.261  0.051  -0.351   -0.161    1.0\n",
-       "              beta_[trt]     -9.933  0.272 -10.461   -9.446    1.0\n",
-       "              beta_[income] -10.105  0.225 -10.537   -9.695    1.0\n",
-       "              beta_ps       -16.196  0.657 -17.454  -15.019    1.0\n",
-       "              alpha_outcome  46.576  0.401  45.876   47.392    1.0\n",
-       "2-stage-model beta_[trt]    -10.070  0.330 -10.684   -9.449    1.0\n",
-       "              beta_[income] -10.832  0.192 -11.209  -10.489    1.0\n",
-       "              alpha_outcome  41.255  0.410  40.486   42.030    1.0\n",
-       "              beta_ps        -4.823  0.931  -6.642   -3.111    1.0"
+       "1-stage-model alpha_trt      -0.260  0.050  -0.350   -0.165    1.0\n",
+       "              beta_[trt]     -9.936  0.274 -10.455   -9.423    1.0\n",
+       "              beta_[income] -10.095  0.220 -10.480   -9.650    1.0\n",
+       "              beta_ps       -16.231  0.624 -17.370  -15.034    1.0\n",
+       "              alpha_outcome  46.600  0.389  45.884   47.340    1.0\n",
+       "2-stage-model beta_[trt]    -10.073  0.325 -10.741   -9.512    1.0\n",
+       "              beta_[income] -10.628  0.200 -11.001  -10.261    1.0\n",
+       "              alpha_outcome  41.757  0.426  40.960   42.558    1.0\n",
+       "              beta_ps        -5.826  0.943  -7.590   -4.015    1.0"
       ]
      },
      "execution_count": 19,
@@ -4917,13 +5098,13 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.5  , 0.571, 0.643, 0.727])\n",
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3d87a6a5-9681-4802-aed2-27eea6b0f133' class='xr-array-in' type='checkbox' checked><label for='section-3d87a6a5-9681-4802-aed2-27eea6b0f133' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.249 0.31 0.37 0.43 0.5 0.571 0.643 0.727</span></div><div class='xr-array-data'><pre>array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.5  , 0.571, 0.643, 0.727])</pre></div></div></li><li class='xr-section-item'><input id='section-2e45c163-48f8-41f8-92f4-1ad053b88b8b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e45c163-48f8-41f8-92f4-1ad053b88b8b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-54dc92da-d1cd-4c86-89af-3f74774d65d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54dc92da-d1cd-4c86-89af-3f74774d65d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47dc1086-3bf6-4993-a371-ea47440eccf9' class='xr-var-data-in' type='checkbox'><label for='data-47dc1086-3bf6-4993-a371-ea47440eccf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45a5d6b7-6204-4fbd-9697-2c4562439d6f' class='xr-section-summary-in' type='checkbox'  ><label for='section-45a5d6b7-6204-4fbd-9697-2c4562439d6f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0ae06060-d328-4ed4-9d69-a1777b98c083' class='xr-index-data-in' type='checkbox'/><label for='index-0ae06060-d328-4ed4-9d69-a1777b98c083' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-980865a3-20c9-4945-b5e1-3b0e41b2ffe7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-980865a3-20c9-4945-b5e1-3b0e41b2ffe7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3a09b628-4cb0-4cbb-971d-bbbb53d1ab31' class='xr-array-in' type='checkbox' checked><label for='section-3a09b628-4cb0-4cbb-971d-bbbb53d1ab31' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.249 0.31 0.37 0.43 0.501 0.572 0.643 0.727</span></div><div class='xr-array-data'><pre>array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])</pre></div></div></li><li class='xr-section-item'><input id='section-8efc24d9-1c87-4c3e-8515-446f963a5311' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8efc24d9-1c87-4c3e-8515-446f963a5311' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-a16ee7ad-dd1a-41a5-85c4-acb90f7e9743' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a16ee7ad-dd1a-41a5-85c4-acb90f7e9743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38788e39-89df-4e75-979e-48f118fd4b1c' class='xr-var-data-in' type='checkbox'><label for='data-38788e39-89df-4e75-979e-48f118fd4b1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abb511cb-1afa-410a-bc87-87ad77789dee' class='xr-section-summary-in' type='checkbox'  ><label for='section-abb511cb-1afa-410a-bc87-87ad77789dee' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c6d0d3cd-591d-4f8e-8d64-878dab99522b' class='xr-index-data-in' type='checkbox'/><label for='index-c6d0d3cd-591d-4f8e-8d64-878dab99522b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c5455f4-9a93-4110-832d-ec8ff9fd47d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c5455f4-9a93-4110-832d-ec8ff9fd47d1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.5  , 0.571, 0.643, 0.727])\n",
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])\n",
        "Coordinates:\n",
        "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
       ]
@@ -5400,7 +5581,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
        "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
        "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b8f9bd34-4ef9-44a0-a946-cdf3c6de9538' class='xr-array-in' type='checkbox' checked><label for='section-b8f9bd34-4ef9-44a0-a946-cdf3c6de9538' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.283 0.317 0.349 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-1d895479-90c8-4b4d-8154-c9effa1aece3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1d895479-90c8-4b4d-8154-c9effa1aece3' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-2a2fce2b-d2c3-4ec9-ac3e-35f0a5ae5227' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a2fce2b-d2c3-4ec9-ac3e-35f0a5ae5227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4594fd8-fc33-4cfc-acc7-226f7a5f1ddf' class='xr-var-data-in' type='checkbox'><label for='data-a4594fd8-fc33-4cfc-acc7-226f7a5f1ddf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2ae258be-62d9-4661-afc3-53bc357701d1' class='xr-section-summary-in' type='checkbox'  ><label for='section-2ae258be-62d9-4661-afc3-53bc357701d1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a74f924b-a542-4195-9185-bf796fbebaae' class='xr-index-data-in' type='checkbox'/><label for='index-a74f924b-a542-4195-9185-bf796fbebaae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7b43668-1aa8-4a8a-ad35-99bb8c98358b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d7b43668-1aa8-4a8a-ad35-99bb8c98358b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c273b64b-1187-4bcf-81a1-f702d4710ed5' class='xr-array-in' type='checkbox' checked><label for='section-c273b64b-1187-4bcf-81a1-f702d4710ed5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.283 0.317 0.349 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-c8a92dcb-154a-4f69-9bd2-9a6aa468b9bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8a92dcb-154a-4f69-9bd2-9a6aa468b9bc' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-a2a7183a-77f5-4335-b9c8-b8fab061281a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2a7183a-77f5-4335-b9c8-b8fab061281a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7d20d39-c737-4972-b0b7-19ed17780eff' class='xr-var-data-in' type='checkbox'><label for='data-e7d20d39-c737-4972-b0b7-19ed17780eff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fb4c7d11-2e1b-41bc-b04c-06e15e780eb9' class='xr-section-summary-in' type='checkbox'  ><label for='section-fb4c7d11-2e1b-41bc-b04c-06e15e780eb9' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-29ba6e49-8237-4f0e-be5f-d1bcab58ccf1' class='xr-index-data-in' type='checkbox'/><label for='index-29ba6e49-8237-4f0e-be5f-d1bcab58ccf1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-724b9ced-5d32-498a-bb59-de65bedf21c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-724b9ced-5d32-498a-bb59-de65bedf21c7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
@@ -5427,7 +5608,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5657,7 +5838,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ab149ef87dfc42568f65e49ad1ee652a",
+       "model_id": "1b2e724185864c478e93d4ef2d866f19",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5668,14 +5849,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -5690,7 +5863,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 5 seconds.\n",
+      "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 6 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -5702,7 +5875,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9033450736bb4fdfa65695e5aa2ee13d",
+       "model_id": "0af7ee29e9ce435dbccf577c9049d8e4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5737,7 +5910,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "da98802451b746c5b2aa499a9fe0c68a",
+       "model_id": "c515e69b43ec4c8db0f5376c246f7283",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5748,6 +5921,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -5819,7 +6000,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5878,107 +6059,107 @@
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.358</td>\n",
-       "      <td>0.131</td>\n",
-       "      <td>-1.592</td>\n",
-       "      <td>-1.107</td>\n",
+       "      <td>-1.360</td>\n",
+       "      <td>0.139</td>\n",
+       "      <td>-1.620</td>\n",
+       "      <td>-1.100</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1588.058</td>\n",
-       "      <td>578.944</td>\n",
-       "      <td>498.157</td>\n",
-       "      <td>2642.806</td>\n",
+       "      <td>1595.535</td>\n",
+       "      <td>583.930</td>\n",
+       "      <td>463.032</td>\n",
+       "      <td>2661.855</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-466.199</td>\n",
-       "      <td>492.107</td>\n",
-       "      <td>-1413.262</td>\n",
-       "      <td>475.159</td>\n",
+       "      <td>-453.781</td>\n",
+       "      <td>482.845</td>\n",
+       "      <td>-1415.203</td>\n",
+       "      <td>400.584</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3929.440</td>\n",
-       "      <td>530.830</td>\n",
-       "      <td>2978.898</td>\n",
-       "      <td>4943.837</td>\n",
+       "      <td>3922.327</td>\n",
+       "      <td>521.209</td>\n",
+       "      <td>2838.457</td>\n",
+       "      <td>4789.670</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.020</td>\n",
-       "      <td>1.036</td>\n",
-       "      <td>-1.889</td>\n",
-       "      <td>1.927</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>0.983</td>\n",
+       "      <td>-1.847</td>\n",
+       "      <td>1.815</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4323.971</td>\n",
-       "      <td>372.441</td>\n",
-       "      <td>3620.742</td>\n",
-       "      <td>4987.366</td>\n",
+       "      <td>4319.238</td>\n",
+       "      <td>361.844</td>\n",
+       "      <td>3628.059</td>\n",
+       "      <td>4969.106</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6568.568</td>\n",
-       "      <td>152.816</td>\n",
-       "      <td>6279.382</td>\n",
-       "      <td>6846.085</td>\n",
+       "      <td>6567.958</td>\n",
+       "      <td>151.537</td>\n",
+       "      <td>6290.244</td>\n",
+       "      <td>6847.219</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1594.757</td>\n",
-       "      <td>570.908</td>\n",
-       "      <td>527.141</td>\n",
-       "      <td>2667.278</td>\n",
+       "      <td>1588.611</td>\n",
+       "      <td>571.263</td>\n",
+       "      <td>487.945</td>\n",
+       "      <td>2614.938</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-463.667</td>\n",
-       "      <td>493.692</td>\n",
-       "      <td>-1394.819</td>\n",
-       "      <td>461.513</td>\n",
+       "      <td>-458.390</td>\n",
+       "      <td>490.707</td>\n",
+       "      <td>-1384.176</td>\n",
+       "      <td>446.832</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3933.080</td>\n",
-       "      <td>510.124</td>\n",
-       "      <td>2986.332</td>\n",
-       "      <td>4884.875</td>\n",
+       "      <td>3938.348</td>\n",
+       "      <td>511.238</td>\n",
+       "      <td>2947.257</td>\n",
+       "      <td>4882.593</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.008</td>\n",
-       "      <td>1.008</td>\n",
-       "      <td>-1.950</td>\n",
-       "      <td>1.876</td>\n",
+       "      <td>-0.007</td>\n",
+       "      <td>0.998</td>\n",
+       "      <td>-1.834</td>\n",
+       "      <td>1.892</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4321.163</td>\n",
-       "      <td>364.367</td>\n",
-       "      <td>3643.297</td>\n",
-       "      <td>5005.830</td>\n",
+       "      <td>4316.715</td>\n",
+       "      <td>374.264</td>\n",
+       "      <td>3639.104</td>\n",
+       "      <td>5036.241</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6569.405</td>\n",
-       "      <td>153.234</td>\n",
-       "      <td>6280.066</td>\n",
-       "      <td>6857.044</td>\n",
+       "      <td>6568.283</td>\n",
+       "      <td>150.280</td>\n",
+       "      <td>6295.813</td>\n",
+       "      <td>6849.206</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -5987,19 +6168,19 @@
       ],
       "text/plain": [
        "                                   mean       sd    hdi_3%   hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt          -1.358    0.131    -1.592    -1.107    1.0\n",
-       "              beta_[treat]     1588.058  578.944   498.157  2642.806    1.0\n",
-       "              beta_[nodegree]  -466.199  492.107 -1413.262   475.159    1.0\n",
-       "              beta_[married]   3929.440  530.830  2978.898  4943.837    1.0\n",
-       "              beta_ps             0.020    1.036    -1.889     1.927    1.0\n",
-       "              alpha_outcome    4323.971  372.441  3620.742  4987.366    1.0\n",
-       "              sigma            6568.568  152.816  6279.382  6846.085    1.0\n",
-       "2-stage-model beta_[treat]     1594.757  570.908   527.141  2667.278    1.0\n",
-       "              beta_[nodegree]  -463.667  493.692 -1394.819   461.513    1.0\n",
-       "              beta_[married]   3933.080  510.124  2986.332  4884.875    1.0\n",
-       "              beta_ps             0.008    1.008    -1.950     1.876    1.0\n",
-       "              alpha_outcome    4321.163  364.367  3643.297  5005.830    1.0\n",
-       "              sigma            6569.405  153.234  6280.066  6857.044    1.0"
+       "1-stage-model alpha_trt          -1.360    0.139    -1.620    -1.100    1.0\n",
+       "              beta_[treat]     1595.535  583.930   463.032  2661.855    1.0\n",
+       "              beta_[nodegree]  -453.781  482.845 -1415.203   400.584    1.0\n",
+       "              beta_[married]   3922.327  521.209  2838.457  4789.670    1.0\n",
+       "              beta_ps             0.009    0.983    -1.847     1.815    1.0\n",
+       "              alpha_outcome    4319.238  361.844  3628.059  4969.106    1.0\n",
+       "              sigma            6567.958  151.537  6290.244  6847.219    1.0\n",
+       "2-stage-model beta_[treat]     1588.611  571.263   487.945  2614.938    1.0\n",
+       "              beta_[nodegree]  -458.390  490.707 -1384.176   446.832    1.0\n",
+       "              beta_[married]   3938.348  511.238  2947.257  4882.593    1.0\n",
+       "              beta_ps            -0.007    0.998    -1.834     1.892    1.0\n",
+       "              alpha_outcome    4316.715  374.264  3639.104  5036.241    1.0\n",
+       "              sigma            6568.283  150.280  6295.813  6849.206    1.0"
       ]
      },
      "execution_count": 27,
@@ -6037,7 +6218,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6192,7 +6373,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ed5d1d13d2a146748af566fb84cc7436",
+       "model_id": "fb91778f772540c59208bb2e0b74d843",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6217,7 +6398,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 44 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 45 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -6229,7 +6410,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5fc6ced5e64b4f18ab24dbe8fe89f01e",
+       "model_id": "47db4ae1ea8f4a1e8f0bdf36cbe82181",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6254,7 +6435,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 36 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 37 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -6264,7 +6445,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "37bb8cf95a884486b9650ae2a761fb4f",
+       "model_id": "7a6776c3feed477096a65dfd8461d8a3",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6275,6 +6456,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -6380,7 +6569,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6448,122 +6637,122 @@
        "      <th rowspan=\"8\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
        "      <td>-1.152</td>\n",
-       "      <td>0.062</td>\n",
-       "      <td>-1.269</td>\n",
-       "      <td>-1.037</td>\n",
+       "      <td>0.063</td>\n",
+       "      <td>-1.265</td>\n",
+       "      <td>-1.027</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.811</td>\n",
-       "      <td>0.409</td>\n",
-       "      <td>2.048</td>\n",
-       "      <td>3.583</td>\n",
+       "      <td>2.812</td>\n",
+       "      <td>0.404</td>\n",
+       "      <td>2.034</td>\n",
+       "      <td>3.545</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.215</td>\n",
-       "      <td>0.352</td>\n",
-       "      <td>-2.888</td>\n",
-       "      <td>-1.566</td>\n",
+       "      <td>-2.226</td>\n",
+       "      <td>0.353</td>\n",
+       "      <td>-2.873</td>\n",
+       "      <td>-1.558</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
        "      <td>0.306</td>\n",
-       "      <td>0.192</td>\n",
-       "      <td>-0.042</td>\n",
-       "      <td>0.678</td>\n",
+       "      <td>0.194</td>\n",
+       "      <td>-0.056</td>\n",
+       "      <td>0.664</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.493</td>\n",
-       "      <td>0.345</td>\n",
-       "      <td>-0.167</td>\n",
-       "      <td>1.120</td>\n",
+       "      <td>0.505</td>\n",
+       "      <td>0.347</td>\n",
+       "      <td>-0.142</td>\n",
+       "      <td>1.162</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.181</td>\n",
-       "      <td>0.194</td>\n",
-       "      <td>-1.538</td>\n",
-       "      <td>-0.813</td>\n",
+       "      <td>-1.184</td>\n",
+       "      <td>0.190</td>\n",
+       "      <td>-1.543</td>\n",
+       "      <td>-0.830</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.088</td>\n",
-       "      <td>0.330</td>\n",
-       "      <td>1.501</td>\n",
-       "      <td>2.737</td>\n",
+       "      <td>2.089</td>\n",
+       "      <td>0.328</td>\n",
+       "      <td>1.468</td>\n",
+       "      <td>2.702</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.630</td>\n",
-       "      <td>0.982</td>\n",
-       "      <td>-2.505</td>\n",
-       "      <td>1.214</td>\n",
+       "      <td>-0.623</td>\n",
+       "      <td>0.977</td>\n",
+       "      <td>-2.423</td>\n",
+       "      <td>1.235</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.846</td>\n",
-       "      <td>0.403</td>\n",
-       "      <td>2.102</td>\n",
-       "      <td>3.621</td>\n",
+       "      <td>2.779</td>\n",
+       "      <td>0.410</td>\n",
+       "      <td>2.012</td>\n",
+       "      <td>3.538</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.067</td>\n",
-       "      <td>0.362</td>\n",
-       "      <td>-2.745</td>\n",
-       "      <td>-1.397</td>\n",
+       "      <td>-2.300</td>\n",
+       "      <td>0.365</td>\n",
+       "      <td>-2.965</td>\n",
+       "      <td>-1.597</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.167</td>\n",
-       "      <td>0.207</td>\n",
-       "      <td>-0.217</td>\n",
-       "      <td>0.563</td>\n",
+       "      <td>0.346</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>-0.025</td>\n",
+       "      <td>0.729</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.464</td>\n",
-       "      <td>0.347</td>\n",
-       "      <td>-0.188</td>\n",
-       "      <td>1.120</td>\n",
+       "      <td>0.509</td>\n",
+       "      <td>0.350</td>\n",
+       "      <td>-0.122</td>\n",
+       "      <td>1.187</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.142</td>\n",
-       "      <td>0.193</td>\n",
-       "      <td>-1.498</td>\n",
-       "      <td>-0.772</td>\n",
+       "      <td>-1.237</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-1.597</td>\n",
+       "      <td>-0.873</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.954</td>\n",
-       "      <td>0.428</td>\n",
-       "      <td>1.144</td>\n",
-       "      <td>2.741</td>\n",
+       "      <td>1.936</td>\n",
+       "      <td>0.444</td>\n",
+       "      <td>1.142</td>\n",
+       "      <td>2.807</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.773</td>\n",
-       "      <td>0.914</td>\n",
-       "      <td>-2.432</td>\n",
-       "      <td>0.960</td>\n",
+       "      <td>0.026</td>\n",
+       "      <td>0.958</td>\n",
+       "      <td>-1.771</td>\n",
+       "      <td>1.853</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6572,21 +6761,21 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt             -1.152  0.062  -1.269   -1.037    1.0\n",
-       "              beta_[trt]             2.811  0.409   2.048    3.583    1.0\n",
-       "              beta_[age]            -2.215  0.352  -2.888   -1.566    1.0\n",
-       "              beta_[smokeintensity]  0.306  0.192  -0.042    0.678    1.0\n",
-       "              beta_[smokeyrs]        0.493  0.345  -0.167    1.120    1.0\n",
-       "              beta_[wt71]           -1.181  0.194  -1.538   -0.813    1.0\n",
-       "              alpha_outcome          2.088  0.330   1.501    2.737    1.0\n",
-       "              beta_ps               -0.630  0.982  -2.505    1.214    1.0\n",
-       "2-stage-model beta_[trt]             2.846  0.403   2.102    3.621    1.0\n",
-       "              beta_[age]            -2.067  0.362  -2.745   -1.397    1.0\n",
-       "              beta_[smokeintensity]  0.167  0.207  -0.217    0.563    1.0\n",
-       "              beta_[smokeyrs]        0.464  0.347  -0.188    1.120    1.0\n",
-       "              beta_[wt71]           -1.142  0.193  -1.498   -0.772    1.0\n",
-       "              alpha_outcome          1.954  0.428   1.144    2.741    1.0\n",
-       "              beta_ps               -0.773  0.914  -2.432    0.960    1.0"
+       "1-stage-model alpha_trt             -1.152  0.063  -1.265   -1.027    1.0\n",
+       "              beta_[trt]             2.812  0.404   2.034    3.545    1.0\n",
+       "              beta_[age]            -2.226  0.353  -2.873   -1.558    1.0\n",
+       "              beta_[smokeintensity]  0.306  0.194  -0.056    0.664    1.0\n",
+       "              beta_[smokeyrs]        0.505  0.347  -0.142    1.162    1.0\n",
+       "              beta_[wt71]           -1.184  0.190  -1.543   -0.830    1.0\n",
+       "              alpha_outcome          2.089  0.328   1.468    2.702    1.0\n",
+       "              beta_ps               -0.623  0.977  -2.423    1.235    1.0\n",
+       "2-stage-model beta_[trt]             2.779  0.410   2.012    3.538    1.0\n",
+       "              beta_[age]            -2.300  0.365  -2.965   -1.597    1.0\n",
+       "              beta_[smokeintensity]  0.346  0.201  -0.025    0.729    1.0\n",
+       "              beta_[smokeyrs]        0.509  0.350  -0.122    1.187    1.0\n",
+       "              beta_[wt71]           -1.237  0.195  -1.597   -0.873    1.0\n",
+       "              alpha_outcome          1.936  0.444   1.142    2.807    1.0\n",
+       "              beta_ps                0.026  0.958  -1.771    1.853    1.0"
       ]
      },
      "execution_count": 32,
@@ -6615,7 +6804,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6649,7 +6838,7 @@
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std]\n",
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
       "Sampling: [beta_std, t_pred]\n",
       "Sampling: [t_pred]\n"
      ]
@@ -6657,7 +6846,7 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x14e5712b0>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x17ee6d400>"
       ]
      },
      "execution_count": 34,
@@ -6754,7 +6943,7 @@
       "NUTS: [beta_std, beta_ps, a_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n",
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 20 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 21 seconds.\n"
      ]
     }
    ],
@@ -6816,194 +7005,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
-       "      <td>0.023</td>\n",
-       "      <td>0.986</td>\n",
-       "      <td>-1.945</td>\n",
-       "      <td>1.806</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.991</td>\n",
+       "      <td>-1.986</td>\n",
+       "      <td>1.747</td>\n",
        "      <td>0.013</td>\n",
        "      <td>0.010</td>\n",
-       "      <td>5724.0</td>\n",
-       "      <td>5863.0</td>\n",
+       "      <td>5689.0</td>\n",
+       "      <td>5878.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.006</td>\n",
-       "      <td>0.349</td>\n",
-       "      <td>-2.668</td>\n",
-       "      <td>-1.355</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>-1.986</td>\n",
+       "      <td>0.359</td>\n",
+       "      <td>-2.639</td>\n",
+       "      <td>-1.302</td>\n",
+       "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>6176.0</td>\n",
-       "      <td>5688.0</td>\n",
+       "      <td>5677.0</td>\n",
+       "      <td>6092.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>0.161</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-0.199</td>\n",
+       "      <td>0.169</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>-0.179</td>\n",
        "      <td>0.536</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7285.0</td>\n",
-       "      <td>5751.0</td>\n",
+       "      <td>8778.0</td>\n",
+       "      <td>6474.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-0.731</td>\n",
-       "      <td>0.228</td>\n",
-       "      <td>-1.158</td>\n",
-       "      <td>-0.306</td>\n",
+       "      <td>-0.740</td>\n",
+       "      <td>0.225</td>\n",
+       "      <td>-1.152</td>\n",
+       "      <td>-0.316</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5553.0</td>\n",
-       "      <td>5554.0</td>\n",
+       "      <td>6859.0</td>\n",
+       "      <td>6663.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.213</td>\n",
-       "      <td>0.206</td>\n",
-       "      <td>-0.173</td>\n",
-       "      <td>0.591</td>\n",
+       "      <td>0.212</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>-0.182</td>\n",
+       "      <td>0.569</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>7674.0</td>\n",
-       "      <td>6031.0</td>\n",
+       "      <td>9196.0</td>\n",
+       "      <td>6073.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.278</td>\n",
-       "      <td>0.351</td>\n",
-       "      <td>-0.389</td>\n",
-       "      <td>0.942</td>\n",
+       "      <td>0.263</td>\n",
+       "      <td>0.356</td>\n",
+       "      <td>-0.362</td>\n",
+       "      <td>0.966</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>5891.0</td>\n",
-       "      <td>5632.0</td>\n",
+       "      <td>5715.0</td>\n",
+       "      <td>5551.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.445</td>\n",
-       "      <td>0.207</td>\n",
-       "      <td>-1.818</td>\n",
-       "      <td>-1.044</td>\n",
+       "      <td>-1.450</td>\n",
+       "      <td>0.205</td>\n",
+       "      <td>-1.838</td>\n",
+       "      <td>-1.073</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8733.0</td>\n",
-       "      <td>6414.0</td>\n",
+       "      <td>9105.0</td>\n",
+       "      <td>6516.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
        "      <td>-0.528</td>\n",
-       "      <td>0.201</td>\n",
-       "      <td>-0.919</td>\n",
-       "      <td>-0.164</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>-0.895</td>\n",
+       "      <td>-0.143</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>8093.0</td>\n",
-       "      <td>6301.0</td>\n",
+       "      <td>8340.0</td>\n",
+       "      <td>5885.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.113</td>\n",
-       "      <td>0.198</td>\n",
-       "      <td>-0.479</td>\n",
-       "      <td>0.259</td>\n",
+       "      <td>-0.109</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>-0.465</td>\n",
+       "      <td>0.290</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>9112.0</td>\n",
-       "      <td>6084.0</td>\n",
+       "      <td>9194.0</td>\n",
+       "      <td>6222.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.378</td>\n",
-       "      <td>0.242</td>\n",
-       "      <td>-0.077</td>\n",
-       "      <td>0.816</td>\n",
+       "      <td>0.382</td>\n",
+       "      <td>0.239</td>\n",
+       "      <td>-0.082</td>\n",
+       "      <td>0.817</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5607.0</td>\n",
-       "      <td>6122.0</td>\n",
+       "      <td>5433.0</td>\n",
+       "      <td>5315.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.359</td>\n",
-       "      <td>0.261</td>\n",
-       "      <td>-0.121</td>\n",
-       "      <td>0.861</td>\n",
+       "      <td>0.360</td>\n",
+       "      <td>0.263</td>\n",
+       "      <td>-0.138</td>\n",
+       "      <td>0.844</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>5467.0</td>\n",
-       "      <td>5728.0</td>\n",
+       "      <td>4846.0</td>\n",
+       "      <td>5824.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.357</td>\n",
-       "      <td>0.215</td>\n",
-       "      <td>-0.041</td>\n",
-       "      <td>0.767</td>\n",
+       "      <td>0.356</td>\n",
+       "      <td>0.214</td>\n",
+       "      <td>-0.045</td>\n",
+       "      <td>0.756</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6911.0</td>\n",
-       "      <td>5764.0</td>\n",
+       "      <td>6328.0</td>\n",
+       "      <td>6228.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.030</td>\n",
-       "      <td>0.223</td>\n",
-       "      <td>-0.446</td>\n",
-       "      <td>0.386</td>\n",
+       "      <td>-0.028</td>\n",
+       "      <td>0.226</td>\n",
+       "      <td>-0.461</td>\n",
+       "      <td>0.383</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>6309.0</td>\n",
-       "      <td>6870.0</td>\n",
+       "      <td>5967.0</td>\n",
+       "      <td>5921.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.180</td>\n",
-       "      <td>0.255</td>\n",
-       "      <td>-0.302</td>\n",
+       "      <td>0.190</td>\n",
+       "      <td>0.252</td>\n",
+       "      <td>-0.284</td>\n",
        "      <td>0.649</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>5963.0</td>\n",
-       "      <td>6222.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6382.0</td>\n",
+       "      <td>6091.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.207</td>\n",
-       "      <td>0.265</td>\n",
-       "      <td>-0.304</td>\n",
-       "      <td>0.686</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>0.212</td>\n",
+       "      <td>0.258</td>\n",
+       "      <td>-0.275</td>\n",
+       "      <td>0.697</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>5143.0</td>\n",
-       "      <td>5462.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>6042.0</td>\n",
+       "      <td>6339.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.797</td>\n",
-       "      <td>0.402</td>\n",
-       "      <td>2.050</td>\n",
-       "      <td>3.548</td>\n",
+       "      <td>2.802</td>\n",
+       "      <td>0.401</td>\n",
+       "      <td>2.042</td>\n",
+       "      <td>3.549</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>11315.0</td>\n",
-       "      <td>6352.0</td>\n",
+       "      <td>12088.0</td>\n",
+       "      <td>6152.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -7012,40 +7201,40 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]       0.023  0.986  -1.945    1.806      0.013    0.010   \n",
-       "beta_[age]            -2.006  0.349  -2.668   -1.355      0.004    0.004   \n",
-       "beta_[race]            0.161  0.195  -0.199    0.536      0.002    0.002   \n",
-       "beta_[sex]            -0.731  0.228  -1.158   -0.306      0.003    0.002   \n",
-       "beta_[smokeintensity]  0.213  0.206  -0.173    0.591      0.002    0.002   \n",
-       "beta_[smokeyrs]        0.278  0.351  -0.389    0.942      0.005    0.004   \n",
-       "beta_[wt71]           -1.445  0.207  -1.818   -1.044      0.002    0.002   \n",
-       "beta_[active_1]       -0.528  0.201  -0.919   -0.164      0.002    0.002   \n",
-       "beta_[active_2]       -0.113  0.198  -0.479    0.259      0.002    0.002   \n",
-       "beta_[education_2]     0.378  0.242  -0.077    0.816      0.003    0.002   \n",
-       "beta_[education_3]     0.359  0.261  -0.121    0.861      0.004    0.002   \n",
-       "beta_[education_4]     0.357  0.215  -0.041    0.767      0.003    0.002   \n",
-       "beta_[education_5]    -0.030  0.223  -0.446    0.386      0.003    0.002   \n",
-       "beta_[exercise_1]      0.180  0.255  -0.302    0.649      0.003    0.003   \n",
-       "beta_[exercise_2]      0.207  0.265  -0.304    0.686      0.004    0.003   \n",
-       "beta_[trt]             2.797  0.402   2.050    3.548      0.004    0.005   \n",
+       "beta_[Intercept]       0.012  0.991  -1.986    1.747      0.013    0.010   \n",
+       "beta_[age]            -1.986  0.359  -2.639   -1.302      0.005    0.004   \n",
+       "beta_[race]            0.169  0.192  -0.179    0.536      0.002    0.002   \n",
+       "beta_[sex]            -0.740  0.225  -1.152   -0.316      0.003    0.002   \n",
+       "beta_[smokeintensity]  0.212  0.201  -0.182    0.569      0.002    0.002   \n",
+       "beta_[smokeyrs]        0.263  0.356  -0.362    0.966      0.005    0.004   \n",
+       "beta_[wt71]           -1.450  0.205  -1.838   -1.073      0.002    0.002   \n",
+       "beta_[active_1]       -0.528  0.200  -0.895   -0.143      0.002    0.002   \n",
+       "beta_[active_2]       -0.109  0.200  -0.465    0.290      0.002    0.002   \n",
+       "beta_[education_2]     0.382  0.239  -0.082    0.817      0.003    0.002   \n",
+       "beta_[education_3]     0.360  0.263  -0.138    0.844      0.004    0.002   \n",
+       "beta_[education_4]     0.356  0.214  -0.045    0.756      0.003    0.002   \n",
+       "beta_[education_5]    -0.028  0.226  -0.461    0.383      0.003    0.002   \n",
+       "beta_[exercise_1]      0.190  0.252  -0.284    0.649      0.003    0.002   \n",
+       "beta_[exercise_2]      0.212  0.258  -0.275    0.697      0.003    0.002   \n",
+       "beta_[trt]             2.802  0.401   2.042    3.549      0.004    0.005   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]         5724.0    5863.0    1.0  \n",
-       "beta_[age]               6176.0    5688.0    1.0  \n",
-       "beta_[race]              7285.0    5751.0    1.0  \n",
-       "beta_[sex]               5553.0    5554.0    1.0  \n",
-       "beta_[smokeintensity]    7674.0    6031.0    1.0  \n",
-       "beta_[smokeyrs]          5891.0    5632.0    1.0  \n",
-       "beta_[wt71]              8733.0    6414.0    1.0  \n",
-       "beta_[active_1]          8093.0    6301.0    1.0  \n",
-       "beta_[active_2]          9112.0    6084.0    1.0  \n",
-       "beta_[education_2]       5607.0    6122.0    1.0  \n",
-       "beta_[education_3]       5467.0    5728.0    1.0  \n",
-       "beta_[education_4]       6911.0    5764.0    1.0  \n",
-       "beta_[education_5]       6309.0    6870.0    1.0  \n",
-       "beta_[exercise_1]        5963.0    6222.0    1.0  \n",
-       "beta_[exercise_2]        5143.0    5462.0    1.0  \n",
-       "beta_[trt]              11315.0    6352.0    1.0  "
+       "beta_[Intercept]         5689.0    5878.0    1.0  \n",
+       "beta_[age]               5677.0    6092.0    1.0  \n",
+       "beta_[race]              8778.0    6474.0    1.0  \n",
+       "beta_[sex]               6859.0    6663.0    1.0  \n",
+       "beta_[smokeintensity]    9196.0    6073.0    1.0  \n",
+       "beta_[smokeyrs]          5715.0    5551.0    1.0  \n",
+       "beta_[wt71]              9105.0    6516.0    1.0  \n",
+       "beta_[active_1]          8340.0    5885.0    1.0  \n",
+       "beta_[active_2]          9194.0    6222.0    1.0  \n",
+       "beta_[education_2]       5433.0    5315.0    1.0  \n",
+       "beta_[education_3]       4846.0    5824.0    1.0  \n",
+       "beta_[education_4]       6328.0    6228.0    1.0  \n",
+       "beta_[education_5]       5967.0    5921.0    1.0  \n",
+       "beta_[exercise_1]        6382.0    6091.0    1.0  \n",
+       "beta_[exercise_2]        6042.0    6339.0    1.0  \n",
+       "beta_[trt]              12088.0    6152.0    1.0  "
       ]
      },
      "execution_count": 37,
@@ -7064,7 +7253,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -7132,13 +7321,13 @@
       "pytensor: 2.31.7\n",
       "xarray  : 2025.7.0\n",
       "\n",
-      "arviz     : 0.21.0\n",
-      "matplotlib: 3.10.3\n",
-      "numpy     : 2.3.1\n",
       "causalpy  : 0.4.2\n",
       "pymc      : 5.23.0\n",
-      "patsy     : 1.0.1\n",
+      "numpy     : 2.3.1\n",
+      "matplotlib: 3.10.3\n",
+      "arviz     : 0.21.0\n",
       "pandas    : 2.3.1\n",
+      "patsy     : 1.0.1\n",
       "\n",
       "Watermark: 2.5.0\n",
       "\n"

From a58f6711669d286cadd3862ed50e1f8f265cff54 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Fri, 18 Jul 2025 21:38:25 +0100
Subject: [PATCH 24/31] update with ben's comments

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/pymc_models.py                     |    4 +-
 docs/source/knowledgebase/glossary.rst      |    3 +
 docs/source/notebooks/inv_prop_latent.ipynb | 5167 ++++---------------
 docs/source/references.bib                  |    9 +
 4 files changed, 1102 insertions(+), 4081 deletions(-)

diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index e8122c97..6e9c0c99 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -634,7 +634,9 @@ class initialisation.
                 splines_summed = pm.Deterministic(
                     "spline_features", pm.math.dot(B_f, beta_ps_spline.T)
                 )
-                mu_outcome = mu_outcome + splines_summed
+                mu_outcome = (
+                    alpha_outcome + pm.math.dot(X_data_outcome, beta) + splines_summed
+                )
 
             sigma = pm.HalfNormal("sigma", priors["sigma"])
 
diff --git a/docs/source/knowledgebase/glossary.rst b/docs/source/knowledgebase/glossary.rst
index e5046fbd..1f33df2e 100644
--- a/docs/source/knowledgebase/glossary.rst
+++ b/docs/source/knowledgebase/glossary.rst
@@ -69,6 +69,9 @@ Glossary
    Propensity scores
       An estimate of the probability of adopting a treatment status. Used in re-weighting schemes to balance observational data.
 
+   Potential outcomes
+      A potential outcome is definable for a candidate or experimental unit under a treatment regime with respect to a measured outcome. The outcome Y(0) for that experimental unit is the outcome when the individual does not have the treatment. The outcome Y(1) for that experimental unit is the outcome when the individual does receive the treatment. Only one case can be observed in reality, and this is called the fundamental problem of causal inference. Seen this way causal inference becomes a kind of imputation problem.
+
    Quasi-experiment
       An empirical comparison used to estimate the effects of a treatment where units are not assigned to conditions at random.
 
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index f56e29df..129a9216 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -25,7 +25,7 @@
    "source": [
     "## The Pardox of Propensity Scores in Bayesian Inference\n",
     "\n",
-    "In causal inference the role of the propensity score is often seen to be central. For instance, we've seen how the propensity score can be used with the `cp.InversePropensityWeighting` class to correct for a species of selection bias by re-weighting our outcome variable and calculating a causal contrast on the re-weighted scale. Additionally we can use the propensity score to visualise and diagnose problems of overlap or covariate balancing across treatment and control groups. \n",
+    "In causal inference the role of the propensity score is often seen to be central. For instance, [we've seen](https://causalpy.readthedocs.io/en/latest/notebooks/inv_prop_pymc.html) how the {term}`propensity score<Propensity scores>` can be used with the `cp.InversePropensityWeighting` class to correct for a species of selection bias by re-weighting our outcome variable and calculating a causal contrast on the re-weighted scale. Additionally we can use the propensity score to visualise and diagnose problems of overlap or covariate balancing across treatment and control groups. \n",
     "\n",
     "These properties give the propensity score a large role to play in _design based_ approaches to causal inference. The focus there is on assessing aspects of the treatment allocation to ensure we have identifiability assurances for estimands of interest. What then is their role in model-based or analysis focused Bayesian methods?\n",
     "\n",
@@ -45,9 +45,12 @@
     "\n",
     "and our outcome model\n",
     "\n",
-    "$$ P(Y | T, X) = \\dfrac{P(Y, T, X)}{P(T, X)}\\cdot P(T, X) = \\dfrac{P(Y | T, X) \\cdot P(T | X) \\cdot P(X)}{P(T | X) \\cdot P(X)} P(T, X) $$\n",
-    "\n",
-    "$$ = \\dfrac{P(Y | T, X) \\cdot e(X)\\cdot P(X)}{e(X) \\cdot P(X)} \\cdot P(T, X)$$\n",
+    "$$\\begin{align*}\n",
+    "P(Y \\mid T, X) &= \\frac{P(Y, T, X)}{P(T, X)} \\cdot P(T, X) \\\\\n",
+    "&= \\frac{P(Y \\mid T, X) \\cdot P(T \\mid X) \\cdot P(X)}{P(T \\mid X) \\cdot P(X)} \\cdot P(T, X) \\\\\n",
+    "&= \\frac{P(Y \\mid T, X) \\cdot e(X) \\cdot P(X)}{e(X) \\cdot P(X)} \\cdot P(T, X)\n",
+    "\\end{align*}\n",
+    "$$\n",
     "\n",
     "but now it's clearer to see how the propensity score just cancels out. When we're already conditioning on $X, T$ the information in the propensity score is technically redundant in the Bayesian setting. Add the assumption of unconfoundedness or ignorability used in causal inference. We are arguing that there is no umeasured confounding so conditioning on $X, T$ should be sufficient to identify the causal contrast of interest. "
    ]
@@ -114,43 +117,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>1.823913</td>\n",
-       "      <td>0.119480</td>\n",
-       "      <td>-0.510815</td>\n",
+       "      <td>0.570753</td>\n",
+       "      <td>-1.372992</td>\n",
+       "      <td>0.247824</td>\n",
        "      <td>0</td>\n",
-       "      <td>5.155954</td>\n",
+       "      <td>1.114661</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-1.992797</td>\n",
-       "      <td>-1.033228</td>\n",
-       "      <td>0.246864</td>\n",
-       "      <td>0</td>\n",
-       "      <td>-3.314327</td>\n",
+       "      <td>0.063973</td>\n",
+       "      <td>0.904728</td>\n",
+       "      <td>0.322222</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.952142</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0.611052</td>\n",
-       "      <td>-0.516168</td>\n",
-       "      <td>-0.444740</td>\n",
+       "      <td>-0.356653</td>\n",
+       "      <td>-0.188922</td>\n",
+       "      <td>-1.369041</td>\n",
        "      <td>0</td>\n",
-       "      <td>2.167504</td>\n",
+       "      <td>5.809954</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-0.681399</td>\n",
-       "      <td>-1.471839</td>\n",
-       "      <td>0.061557</td>\n",
+       "      <td>-1.372285</td>\n",
+       "      <td>-0.611158</td>\n",
+       "      <td>-1.755242</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.345197</td>\n",
+       "      <td>5.509733</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>0.849184</td>\n",
-       "      <td>-1.830455</td>\n",
-       "      <td>-0.213025</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2.462785</td>\n",
+       "      <td>0.029955</td>\n",
+       "      <td>1.773686</td>\n",
+       "      <td>-0.455371</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.058045</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -158,11 +161,11 @@
       ],
       "text/plain": [
        "         x1        x2        x3  trt   outcome\n",
-       "0  1.823913  0.119480 -0.510815    0  5.155954\n",
-       "1 -1.992797 -1.033228  0.246864    0 -3.314327\n",
-       "2  0.611052 -0.516168 -0.444740    0  2.167504\n",
-       "3 -0.681399 -1.471839  0.061557    0  0.345197\n",
-       "4  0.849184 -1.830455 -0.213025    0  2.462785"
+       "0  0.570753 -1.372992  0.247824    0  1.114661\n",
+       "1  0.063973  0.904728  0.322222    1  2.952142\n",
+       "2 -0.356653 -0.188922 -1.369041    0  5.809954\n",
+       "3 -1.372285 -0.611158 -1.755242    0  5.509733\n",
+       "4  0.029955  1.773686 -0.455371    1  6.058045"
       ]
      },
      "execution_count": 2,
@@ -172,6 +175,7 @@
    ],
    "source": [
     "N = 4000\n",
+    "np.random.seed(1043)\n",
     "\n",
     "\n",
     "def inv_logit(z):\n",
@@ -233,244 +237,244 @@
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        "<!-- X_outcome&#45;&gt;like -->\n",
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        "<!-- T -->\n",
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+       "<!-- p&#45;&gt;t_pred -->\n",
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+       "<!-- p&#45;&gt;like -->\n",
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        "<!-- beta_&#45;&gt;like -->\n",
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-       "<graphviz.graphs.Digraph at 0x17e83eba0>"
+       "<graphviz.graphs.Digraph at 0x2863def90>"
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      },
      "execution_count": 3,
@@ -492,7 +496,7 @@
     "Y_data = df1[\"outcome\"].values\n",
     "\n",
     "\n",
-    "def make_model(\n",
+    "def make_joint_model(\n",
     "    X_trt,\n",
     "    X_outcome,\n",
     "    T_data,\n",
@@ -509,10 +513,10 @@
     "    normal_outcome=True,\n",
     "):\n",
     "    with pm.Model(coords=coords) as model:\n",
-    "        X_data_trt = pm.Data(\"X\", X_trt)\n",
-    "        X_data_outcome = pm.Data(\"X_outcome\", X_outcome)\n",
-    "        T_data_ = pm.Data(\"T\", T_data, mutable=True)\n",
-    "        Y_data_ = pm.Data(\"Y\", Y_data)\n",
+    "        X_data_trt = pm.Data(\"X\", X_trt, dims=(\"obs\", \"beta_trt\"))\n",
+    "        X_data_outcome = pm.Data(\"X_outcome\", X_outcome, dims=(\"obs\", \"betas\"))\n",
+    "        T_data_ = pm.Data(\"T\", T_data, mutable=True, dims=\"obs\")\n",
+    "        Y_data_ = pm.Data(\"Y\", Y_data, dims=\"obs\")\n",
     "\n",
     "        if noncentred:\n",
     "            mu_beta_trt, sigma_beta_trt = priors[\"beta_trt\"]\n",
@@ -546,9 +550,9 @@
     "            \"alpha_trt\", priors[\"alpha_trt\"][0], priors[\"alpha_trt\"][1]\n",
     "        )\n",
     "        mu_trt = alpha_trt + pm.math.dot(X_data_trt, beta_trt)\n",
-    "        p = pm.Deterministic(\"p\", pm.math.invlogit(mu_trt))\n",
+    "        p = pm.Deterministic(\"p\", pm.math.invlogit(mu_trt), dims=\"obs\")\n",
     "\n",
-    "        pm.Bernoulli(\"t_pred\", p=p, observed=T_data_)\n",
+    "        pm.Bernoulli(\"t_pred\", p=p, observed=T_data_, dims=\"obs\")\n",
     "\n",
     "        alpha_outcome = pm.Normal(\n",
     "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
@@ -557,15 +561,17 @@
     "        sigma = pm.HalfNormal(\"sigma\", priors[\"sigma\"])\n",
     "\n",
     "        if normal_outcome:\n",
-    "            _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
+    "            _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_, dims=\"obs\")\n",
     "        else:\n",
     "            nu = pm.Exponential(\"nu\", lam=1 / 10)\n",
-    "            _ = pm.StudentT(\"like\", nu=nu, mu=mu_outcome, sigma=sigma, observed=Y_data_)\n",
+    "            _ = pm.StudentT(\n",
+    "                \"like\", nu=nu, mu=mu_outcome, sigma=sigma, observed=Y_data_, dims=\"obs\"\n",
+    "            )\n",
     "\n",
     "    return model\n",
     "\n",
     "\n",
-    "model = make_model(X_trt, X_outcome, T_data, Y_data, coords)\n",
+    "model = make_joint_model(X_trt, X_outcome, T_data, Y_data, coords)\n",
     "\n",
     "pm.model_to_graphviz(model)"
    ]
@@ -574,7 +580,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Note how the two likelihood terms are fit simultaneously. "
+    "Note how the two likelihood terms are fit simultaneously. \n",
+    "\n",
+    ":::{note}\n",
+    "We are specifying the models in raw `PyMC` code for clarity, but we will bundle these methods into the neater `CausalPy` API below. \n",
+    ":::"
    ]
   },
   {
@@ -610,122 +620,122 @@
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       ],
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      },
      "execution_count": 4,
@@ -747,8 +757,8 @@
     "    noncentred=True,\n",
     "):\n",
     "    with pm.Model(coords=coords) as model_trt:\n",
-    "        X_data_trt = pm.Data(\"X\", X_trt)\n",
-    "        T_data_ = pm.Data(\"T\", T_data, mutable=True)\n",
+    "        X_data_trt = pm.Data(\"X\", X_trt, dims=(\"obs\", \"betas_trt\"))\n",
+    "        T_data_ = pm.Data(\"T\", T_data, mutable=True, dims=\"obs\")\n",
     "\n",
     "        if noncentred:\n",
     "            mu_beta_trt, sigma_beta_trt = priors[\"beta_trt\"]\n",
@@ -771,9 +781,9 @@
     "            \"alpha_trt\", priors[\"alpha_trt\"][0], priors[\"alpha_trt\"][1]\n",
     "        )\n",
     "        mu_trt = alpha_trt + pm.math.dot(X_data_trt, beta_trt)\n",
-    "        p = pm.Deterministic(\"p\", pm.math.invlogit(mu_trt))\n",
+    "        p = pm.Deterministic(\"p\", pm.math.invlogit(mu_trt), dims=\"obs\")\n",
     "\n",
-    "        pm.Bernoulli(\"t_pred\", p=p, observed=T_data_)\n",
+    "        pm.Bernoulli(\"t_pred\", p=p, observed=T_data_, dims=\"obs\")\n",
     "    return model_trt\n",
     "\n",
     "\n",
@@ -795,8 +805,8 @@
     "):\n",
     "    propensity_scores = az.extract(propensity_score_idata)[\"p\"]\n",
     "    with pm.Model(coords=coords) as model_outcome:\n",
-    "        X_data_outcome = pm.Data(\"X_outcome\", X_outcome)\n",
-    "        Y_data_ = pm.Data(\"Y\", Y_data)\n",
+    "        X_data_outcome = pm.Data(\"X_outcome\", X_outcome, dims=(\"obs\", \"betas\"))\n",
+    "        Y_data_ = pm.Data(\"Y\", Y_data, dims=\"obs\")\n",
     "\n",
     "        if noncentred:\n",
     "            mu_beta, sigma_beta = priors[\"beta_\"]\n",
@@ -820,24 +830,28 @@
     "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + beta_ps * p\n",
     "\n",
     "        if spline_component:\n",
-    "            beta_ps_spline = pm.Normal(\"beta_ps_spline\", 0, 1, size=34)\n",
+    "            beta_ps_spline = pm.Normal(\"beta_ps_spline\", 0, 1, size=14)\n",
     "            B = dmatrix(\n",
     "                \"bs(ps, knots=knots, degree=3, include_intercept=True, lower_bound=0, upper_bound=1) - 1\",\n",
-    "                {\"ps\": p, \"knots\": np.linspace(0, 1, 30)},\n",
+    "                {\"ps\": p, \"knots\": np.linspace(0, 1, 10)},\n",
     "            )\n",
     "            B_f = np.asarray(B, order=\"F\")\n",
     "            splines_summed = pm.Deterministic(\n",
-    "                \"spline_features\", pm.math.dot(B_f, beta_ps_spline.T)\n",
+    "                \"spline_features\", pm.math.dot(B_f, beta_ps_spline.T), dims=\"obs\"\n",
+    "            )\n",
+    "            mu_outcome = (\n",
+    "                alpha_outcome + pm.math.dot(X_data_outcome, beta) + splines_summed\n",
     "            )\n",
-    "            mu_outcome = mu_outcome + splines_summed\n",
     "\n",
     "        sigma = pm.HalfNormal(\"sigma\", priors[\"sigma\"])\n",
     "\n",
     "        if normal_outcome:\n",
-    "            _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_)\n",
+    "            _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_, dims=\"obs\")\n",
     "        else:\n",
     "            nu = pm.Exponential(\"nu\", lam=1 / 10)\n",
-    "            _ = pm.StudentT(\"like\", nu=nu, mu=mu_outcome, sigma=sigma, observed=Y_data_)\n",
+    "            _ = pm.StudentT(\n",
+    "                \"like\", nu=nu, mu=mu_outcome, sigma=sigma, observed=Y_data_, dims=\"obs\"\n",
+    "            )\n",
     "\n",
     "    return model_outcome\n",
     "\n",
@@ -887,6 +901,22 @@
     "We are now in a position to fit both joint and modular (2-stage) models to our simulated data. We are seeking to assess how the different approaches to incorporating propensity score information impacts the accuracy of the treatment effect estimate. "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{note}\n",
+    "We are using this snippet of code to pass the posterior distribution of the propensity score through to the outcome model and have it be sampled in the MCMC process of the outcome model. \n",
+    "\n",
+    "```\n",
+    "chosen = np.random.choice(range(propensity_scores.shape[1]))\n",
+    "p = propensity_scores[:, chosen].values\n",
+    "```\n",
+    "\n",
+    "This allows us to modularise the the fitting process but retain the useful information stored in the propensity score. \n",
+    ":::"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,
@@ -910,7 +940,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "53d44d1efdaa4339aeb5cd2e2584f33f",
+       "model_id": "2b8b3aa128044352b643b379d4d241a7",
        "version_major": 2,
        "version_minor": 0
       },
@@ -921,6 +951,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -935,7 +973,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 75 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 74 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -947,7 +985,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
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        "version_minor": 0
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@@ -982,7 +1020,7 @@
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        "version_major": 2,
        "version_minor": 0
       },
@@ -1001,6 +1039,14 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -1027,7 +1073,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
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        "version_minor": 0
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@@ -1062,7 +1108,7 @@
     {
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-       "model_id": "c6df263077304e6796f1e4debffd44a1",
+       "model_id": "e7c5abbe57e141cbbcb6c337a2fb1377",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1081,14 +1127,6 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
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-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -1103,7 +1141,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 51 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 35 seconds.\n"
      ]
     }
    ],
@@ -1116,7 +1154,7 @@
     "    \"sigma\": 1,\n",
     "}\n",
     "\n",
-    "joint_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
+    "joint_model = make_joint_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
     "\n",
     "with joint_model:\n",
     "    idata_joint = pm.sample(**sampler_kwargs)\n",
@@ -1147,7 +1185,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1172,7 +1210,11 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
    "outputs": [
     {
      "data": {
@@ -1207,108 +1249,108 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.022</td>\n",
-       "      <td>-0.038</td>\n",
-       "      <td>0.043</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.021</td>\n",
+       "      <td>-0.039</td>\n",
+       "      <td>0.040</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
        "      <td>2.308</td>\n",
        "      <td>0.057</td>\n",
-       "      <td>2.207</td>\n",
-       "      <td>2.421</td>\n",
+       "      <td>2.200</td>\n",
+       "      <td>2.417</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.309</td>\n",
-       "      <td>0.072</td>\n",
-       "      <td>1.177</td>\n",
-       "      <td>1.452</td>\n",
+       "      <td>1.290</td>\n",
+       "      <td>0.069</td>\n",
+       "      <td>1.163</td>\n",
+       "      <td>1.419</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-15.640</td>\n",
-       "      <td>0.300</td>\n",
-       "      <td>-16.205</td>\n",
-       "      <td>-15.080</td>\n",
+       "      <td>-15.289</td>\n",
+       "      <td>0.288</td>\n",
+       "      <td>-15.853</td>\n",
+       "      <td>-14.781</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.658</td>\n",
-       "      <td>0.163</td>\n",
-       "      <td>8.357</td>\n",
-       "      <td>8.968</td>\n",
+       "      <td>8.507</td>\n",
+       "      <td>0.159</td>\n",
+       "      <td>8.209</td>\n",
+       "      <td>8.807</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.801</td>\n",
-       "      <td>0.198</td>\n",
-       "      <td>1.428</td>\n",
-       "      <td>2.183</td>\n",
+       "      <td>1.922</td>\n",
+       "      <td>0.184</td>\n",
+       "      <td>1.561</td>\n",
+       "      <td>2.251</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.123</td>\n",
-       "      <td>0.041</td>\n",
-       "      <td>1.046</td>\n",
-       "      <td>1.200</td>\n",
+       "      <td>1.111</td>\n",
+       "      <td>0.042</td>\n",
+       "      <td>1.037</td>\n",
+       "      <td>1.191</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.981</td>\n",
-       "      <td>0.061</td>\n",
-       "      <td>2.870</td>\n",
-       "      <td>3.097</td>\n",
+       "      <td>3.048</td>\n",
+       "      <td>0.060</td>\n",
+       "      <td>2.936</td>\n",
+       "      <td>3.160</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-3.708</td>\n",
-       "      <td>0.218</td>\n",
-       "      <td>-4.127</td>\n",
-       "      <td>-3.306</td>\n",
+       "      <td>-3.995</td>\n",
+       "      <td>0.203</td>\n",
+       "      <td>-4.371</td>\n",
+       "      <td>-3.602</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model_spline</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.997</td>\n",
-       "      <td>0.194</td>\n",
-       "      <td>1.630</td>\n",
-       "      <td>2.357</td>\n",
+       "      <td>1.750</td>\n",
+       "      <td>0.180</td>\n",
+       "      <td>1.412</td>\n",
+       "      <td>2.089</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.194</td>\n",
-       "      <td>0.039</td>\n",
-       "      <td>1.120</td>\n",
-       "      <td>1.267</td>\n",
+       "      <td>1.147</td>\n",
+       "      <td>0.040</td>\n",
+       "      <td>1.072</td>\n",
+       "      <td>1.223</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.658</td>\n",
-       "      <td>0.294</td>\n",
-       "      <td>1.115</td>\n",
-       "      <td>2.215</td>\n",
+       "      <td>1.031</td>\n",
+       "      <td>0.301</td>\n",
+       "      <td>0.469</td>\n",
+       "      <td>1.605</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-1.270</td>\n",
-       "      <td>0.509</td>\n",
-       "      <td>-2.252</td>\n",
-       "      <td>-0.325</td>\n",
+       "      <td>-0.009</td>\n",
+       "      <td>1.015</td>\n",
+       "      <td>-1.993</td>\n",
+       "      <td>1.898</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1317,19 +1359,19 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model        alpha_trt       0.003  0.022  -0.038    0.043    1.0\n",
-       "                     beta_[trt]      2.308  0.057   2.207    2.421    1.0\n",
-       "                     beta_[x1]       1.309  0.072   1.177    1.452    1.0\n",
-       "                     beta_ps       -15.640  0.300 -16.205  -15.080    1.0\n",
-       "                     alpha_outcome   8.658  0.163   8.357    8.968    1.0\n",
-       "2-stage-model        beta_[trt]      1.801  0.198   1.428    2.183    1.0\n",
-       "                     beta_[x1]       1.123  0.041   1.046    1.200    1.0\n",
-       "                     alpha_outcome   2.981  0.061   2.870    3.097    1.0\n",
-       "                     beta_ps        -3.708  0.218  -4.127   -3.306    1.0\n",
-       "2-stage-model_spline beta_[trt]      1.997  0.194   1.630    2.357    1.0\n",
-       "                     beta_[x1]       1.194  0.039   1.120    1.267    1.0\n",
-       "                     alpha_outcome   1.658  0.294   1.115    2.215    1.0\n",
-       "                     beta_ps        -1.270  0.509  -2.252   -0.325    1.0"
+       "1-stage-model        alpha_trt       0.000  0.021  -0.039    0.040    1.0\n",
+       "                     beta_[trt]      2.308  0.057   2.200    2.417    1.0\n",
+       "                     beta_[x1]       1.290  0.069   1.163    1.419    1.0\n",
+       "                     beta_ps       -15.289  0.288 -15.853  -14.781    1.0\n",
+       "                     alpha_outcome   8.507  0.159   8.209    8.807    1.0\n",
+       "2-stage-model        beta_[trt]      1.922  0.184   1.561    2.251    1.0\n",
+       "                     beta_[x1]       1.111  0.042   1.037    1.191    1.0\n",
+       "                     alpha_outcome   3.048  0.060   2.936    3.160    1.0\n",
+       "                     beta_ps        -3.995  0.203  -4.371   -3.602    1.0\n",
+       "2-stage-model_spline beta_[trt]      1.750  0.180   1.412    2.089    1.0\n",
+       "                     beta_[x1]       1.147  0.040   1.072    1.223    1.0\n",
+       "                     alpha_outcome   1.031  0.301   0.469    1.605    1.0\n",
+       "                     beta_ps        -0.009  1.015  -1.993    1.898    1.0"
       ]
      },
      "execution_count": 7,
@@ -1359,7 +1401,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Here the models fail to recover substantially similar and correct results. However the 2-stage models seem to perform better and adding in a spline function of the propensity score allows for true parameter recovery. This is interesting and demonstrates a key property of propensity scores in the Bayesian setting. \n",
+    "Here the models fail to recover substantially similar and correct results. However the 2-stage models seem to perform better. This is interesting and demonstrates a key property of propensity scores in the Bayesian setting. \n",
     "\n",
     "### The Problem of Feedback\n",
     "\n",
@@ -1373,7 +1415,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -1385,172 +1427,166 @@
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        "</g>\n",
        "<!-- sigma -->\n",
-       "<g id=\"node8\" class=\"node\">\n",
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-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"566\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n",
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        "</g>\n",
        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge9\" class=\"edge\">\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
        "<title>sigma&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M535.7,-257.14C525.05,-247.17 512.38,-237.2 499,-230.73 411.12,-188.18 295.81,-177.95 229.71,-175.82\"/>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"269.22,-183.02 258.67,-184.06 267.57,-189.82 269.22,-183.02\"/>\n",
        "</g>\n",
        "<!-- beta_ps -->\n",
-       "<g id=\"node9\" class=\"node\">\n",
+       "<g id=\"node8\" class=\"node\">\n",
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-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"683\" cy=\"-291.98\" rx=\"41.01\" ry=\"40.66\"/>\n",
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-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"683\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"683\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"429\" cy=\"-413.79\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
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        "</g>\n",
-       "<!-- beta_ps&#45;&gt;like -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
-       "<title>beta_ps&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M662,-256.79C654.15,-246.8 644.34,-236.91 633,-230.73 564.5,-193.38 334.33,-180.95 229.63,-177.17\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"230.03,-173.68 219.92,-176.83 229.79,-180.68 230.03,-173.68\"/>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node9\" class=\"node\">\n",
+       "<title>alpha_outcome</title>\n",
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+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"594\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"594\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"594\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
+       "<title>alpha_outcome&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M556.94,-257.02C544.41,-247.16 529.82,-237.29 515,-230.73 434.11,-194.88 330.91,-182.37 269.61,-178\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"270.01,-174.52 259.8,-177.35 269.55,-181.5 270.01,-174.52\"/>\n",
        "</g>\n",
        "<!-- beta_ps_spline -->\n",
        "<g id=\"node10\" class=\"node\">\n",
        "<title>beta_ps_spline</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"150\" cy=\"-413.79\" rx=\"68.06\" ry=\"40.66\"/>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps_spline</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"150\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"190\" cy=\"-413.79\" rx=\"68.06\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"190\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps_spline</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"190\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"190\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- beta_ps_spline&#45;&gt;spline_features -->\n",
        "<g id=\"edge3\" class=\"edge\">\n",
        "<title>beta_ps_spline&#45;&gt;spline_features</title>\n",
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-       "<polygon fill=\"black\" stroke=\"black\" points=\"166.21,-332.89 164.32,-322.47 159.3,-331.79 166.21,-332.89\"/>\n",
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+       "<polygon fill=\"black\" stroke=\"black\" points=\"206.21,-332.89 204.32,-322.47 199.3,-331.79 206.21,-332.89\"/>\n",
        "</g>\n",
        "</g>\n",
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x282bd56d0>"
+       "<graphviz.graphs.Digraph at 0x2d65207d0>"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1570,468 +1606,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
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-       "  );\n",
-       "  --xr-disabled-color: var(\n",
-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, white)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
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-       "  --xr-background-color-row-odd: var(\n",
-       "    --jp-layout-color2,\n",
-       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
-       "  );\n",
-       "}\n",
-       "\n",
-       "html[theme=\"dark\"],\n",
-       "html[data-theme=\"dark\"],\n",
-       "body[data-theme=\"dark\"],\n",
-       "body.vscode-dark {\n",
-       "  --xr-font-color0: var(\n",
-       "    --jp-content-font-color0,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
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-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
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-       "    --jp-content-font-color3,\n",
-       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
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-       "  --xr-border-color: var(\n",
-       "    --jp-border-color2,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
-       "  );\n",
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-       "    --jp-layout-color3,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
-       "  );\n",
-       "  --xr-background-color: var(\n",
-       "    --jp-layout-color0,\n",
-       "    var(--pst-color-on-background, #111111)\n",
-       "  );\n",
-       "  --xr-background-color-row-even: var(\n",
-       "    --jp-layout-color1,\n",
-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
-       "  );\n",
-       "  --xr-background-color-row-odd: var(\n",
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-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
-       "  );\n",
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-       "\n",
-       ".xr-wrap {\n",
-       "  display: block !important;\n",
-       "  min-width: 300px;\n",
-       "  max-width: 700px;\n",
-       "}\n",
-       "\n",
-       ".xr-text-repr-fallback {\n",
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-       "  display: none;\n",
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-       "\n",
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-       "  padding-top: 6px;\n",
-       "  padding-bottom: 6px;\n",
-       "  margin-bottom: 4px;\n",
-       "  border-bottom: solid 1px var(--xr-border-color);\n",
-       "}\n",
-       "\n",
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-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
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-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
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-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
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-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
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-       "\n",
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-       "  display: contents;\n",
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-       "\n",
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-       "  display: inline-block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "  border: 2px solid transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
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-       ".xr-section-item input:focus + label {\n",
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-       "\n",
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-       "  color: var(--xr-font-color0);\n",
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-       "\n",
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-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
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-       "  content: \"►\";\n",
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-       "  content: \"(\";\n",
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-       "\n",
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-       "  content: \")\";\n",
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-       "\n",
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-       "\n",
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-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
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-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.237, 0.319, 0.379, 0.442, 0.497, 0.552, 0.614, 0.68 , 0.764])\n",
-       "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b448846c-31b7-4b22-aba1-aab24d5fdf50' class='xr-array-in' type='checkbox' checked><label for='section-b448846c-31b7-4b22-aba1-aab24d5fdf50' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.237 0.319 0.379 0.442 0.497 0.552 0.614 0.68 0.764</span></div><div class='xr-array-data'><pre>array([0.237, 0.319, 0.379, 0.442, 0.497, 0.552, 0.614, 0.68 , 0.764])</pre></div></div></li><li class='xr-section-item'><input id='section-597399a6-075f-4c0b-8da5-7bca8c370f59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-597399a6-075f-4c0b-8da5-7bca8c370f59' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-24dda61e-86c2-40b3-a2c9-4c98fa8e4494' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24dda61e-86c2-40b3-a2c9-4c98fa8e4494' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21988f63-9870-4e42-bb57-43a128e07c3e' class='xr-var-data-in' type='checkbox'><label for='data-21988f63-9870-4e42-bb57-43a128e07c3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90505547-830e-4c77-8071-4c9838b81a25' class='xr-section-summary-in' type='checkbox'  ><label for='section-90505547-830e-4c77-8071-4c9838b81a25' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9ec62803-05f3-4c06-afc2-97a399704f5e' class='xr-index-data-in' type='checkbox'/><label for='index-9ec62803-05f3-4c06-afc2-97a399704f5e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d3a7fc7-a822-427c-905d-6d8f84cb28c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9d3a7fc7-a822-427c-905d-6d8f84cb28c5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
       "text/plain": [
-       "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.237, 0.319, 0.379, 0.442, 0.497, 0.552, 0.614, 0.68 , 0.764])\n",
-       "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
+       "array([0.225, 0.308, 0.38 , 0.443, 0.502, 0.563, 0.624, 0.691, 0.769])"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2039,7 +1623,7 @@
    "source": [
     "idata_joint[\"posterior\"][\"p\"].quantile(\n",
     "    [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n",
-    ").round(3)"
+    ").round(3).values"
    ]
   },
   {
@@ -2053,468 +1637,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
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-       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: \",\";\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  border-color: var(--xr-background-color-row-odd);\n",
-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.   , 0.001, 0.012, 0.101, 0.478, 0.894, 0.988, 0.999, 1.   ])\n",
-       "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-97a925b8-1e01-494f-a64b-cc07b7d93cbe' class='xr-array-in' type='checkbox' checked><label for='section-97a925b8-1e01-494f-a64b-cc07b7d93cbe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.001 0.012 0.101 0.478 0.894 0.988 0.999 1.0</span></div><div class='xr-array-data'><pre>array([0.   , 0.001, 0.012, 0.101, 0.478, 0.894, 0.988, 0.999, 1.   ])</pre></div></div></li><li class='xr-section-item'><input id='section-26d389b7-729d-4e42-8da3-3f30e1487780' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26d389b7-729d-4e42-8da3-3f30e1487780' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-5b90818b-e3e7-4388-ab54-3cda6a3ec9be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b90818b-e3e7-4388-ab54-3cda6a3ec9be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5570d60f-1ccf-4056-835b-a70ffe3809b3' class='xr-var-data-in' type='checkbox'><label for='data-5570d60f-1ccf-4056-835b-a70ffe3809b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42272a9a-68d9-494c-bc03-9a1520e06fcc' class='xr-section-summary-in' type='checkbox'  ><label for='section-42272a9a-68d9-494c-bc03-9a1520e06fcc' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4a889b81-7c6e-4aed-b798-e49fbc7ab182' class='xr-index-data-in' type='checkbox'/><label for='index-4a889b81-7c6e-4aed-b798-e49fbc7ab182' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b50ae9cf-156a-42c8-8df0-df1100a1232e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b50ae9cf-156a-42c8-8df0-df1100a1232e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
       "text/plain": [
-       "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.   , 0.001, 0.012, 0.101, 0.478, 0.894, 0.988, 0.999, 1.   ])\n",
-       "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
+       "array([0.   , 0.001, 0.014, 0.109, 0.505, 0.886, 0.986, 0.999, 1.   ])"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2522,7 +1654,7 @@
    "source": [
     "idata_treatment_2s_joint[\"posterior\"][\"p\"].quantile(\n",
     "    [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n",
-    ").round(3)"
+    ").round(3).values"
    ]
   },
   {
@@ -2536,12 +1668,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2551,7 +1683,7 @@
     }
    ],
    "source": [
-    "def compare_prop_dists(idata_2s, idata_1s):\n",
+    "def compare_propensity_dists(idata_2s, idata_1s):\n",
     "    fig, ax = plt.subplots(figsize=(10, 4))\n",
     "    for i in range(100):\n",
     "        s2 = idata_2s[\"posterior\"].stack(z=(\"chain\", \"draw\"))[\"p\"][:, i]\n",
@@ -2580,7 +1712,7 @@
     "    )\n",
     "\n",
     "\n",
-    "compare_prop_dists(idata_treatment_2s_joint, idata_joint)"
+    "compare_propensity_dists(idata_treatment_2s_joint, idata_joint)"
    ]
   },
   {
@@ -2590,18 +1722,74 @@
     "These are radically different models due to the feedback mechanism. How does this phenomena play out in some real world examples?"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "spline_features = az.extract(idata_outcome_2s_joint_spline)[\"spline_features\"]\n",
+    "\n",
+    "propensity_scores = az.extract(idata_treatment_2s_joint_spline)[\"p\"]\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 5))\n",
+    "for i in range(100):\n",
+    "    temp = pd.DataFrame(\n",
+    "        {\"prop_score\": propensity_scores[:, i], \"spline\": spline_features[:, i]}\n",
+    "    )\n",
+    "    temp.sort_values(\"prop_score\", inplace=True)\n",
+    "    ax.plot(temp[\"prop_score\"], temp[\"spline\"], alpha=0.01, color=\"blue\")\n",
+    "\n",
+    "temp = pd.DataFrame(\n",
+    "    {\n",
+    "        \"prop_score\": propensity_scores.mean(axis=1),\n",
+    "        \"spline\": spline_features.mean(axis=1),\n",
+    "    }\n",
+    ")\n",
+    "temp.sort_values(\"prop_score\", inplace=True)\n",
+    "ax.plot(temp[\"prop_score\"], temp[\"spline\"], color=\"k\", label=\"Expected Value\")\n",
+    "ax.set_title(\"Additive Spline Effect on the Propensity Score\")\n",
+    "ax.legend()\n",
+    "ax.set_ylabel(\"Spline Feature Contribution\")\n",
+    "ax.set_xlabel(\"Propensity Score\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ":::{note}\n",
+    "The idea of allowing a spline component to contribute to the `mu_outcome` or expectation of our model, is that in some cases there might be a non-linear relationship between the propensity for treatment and the outcome interest. \n",
+    "\n",
+    "$$ \\mu = \\alpha + X\\beta + f(p) $$\n",
+    "\n",
+    "Incorporating the spline function of `p` grants our model this kind of flexibility to account for different response categories across levels of the propensity score. \n",
+    ":::"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Causal Estimate with Do-Operator\n",
     "\n",
-    "We can also confirm the model implications through counterfactual imputation. This ties the Bayesian setting back the potential outcomes framework. The fundamental problem of causal inference, when seen as a missing data problem allows us to derive causal estimands through imputation of the potential outcomes. Here we \"push forward\" the posterior predictive distribution for $Y$ under different treatment settings. "
+    "We can also confirm the model implications through counterfactual imputation. This ties the Bayesian setting back to the {term}`potential outcome<Potential outcomes>` framework. The fundamental problem of causal inference, when seen as a missing data problem allows us to derive causal estimands through imputation of the potential outcomes. Here we \"push forward\" the posterior predictive distribution for $Y$ under different treatment settings. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2621,7 +1809,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -2634,7 +1822,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6748e47729734a798d695343da8b090f",
+       "model_id": "0d3ba17d4f1547829e9edba674b316c3",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2665,7 +1853,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a2934d7b2e5d422999a6a1b97f61d59c",
+       "model_id": "b7f6774fe5f149f598afe7a21caa3096",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2712,470 +1900,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
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-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
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-       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
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-       "\n",
-       ".xr-header > div,\n",
-       ".xr-header > ul {\n",
-       "  display: inline;\n",
-       "  margin-top: 0;\n",
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-       ".xr-array-name {\n",
-       "  margin-left: 2px;\n",
-       "  margin-right: 10px;\n",
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-       "\n",
-       ".xr-obj-type {\n",
-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-sections {\n",
-       "  padding-left: 0 !important;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
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-       "  display: contents;\n",
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-       "  display: inline-block;\n",
-       "  opacity: 0;\n",
-       "  height: 0;\n",
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-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "  border: 2px solid transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-section-item input:focus + label {\n",
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-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
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-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
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-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
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-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
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-       "  content: \"►\";\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
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-       "\n",
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-       "  content: \"▼\";\n",
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-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
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-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
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-       "\n",
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-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
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-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
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-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
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-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: \"(\";\n",
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-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: \")\";\n",
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-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
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-       "  padding-right: 5px;\n",
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-       "\n",
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-       "\n",
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-       "  background-color: var(--xr-background-color-row-even);\n",
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-       "  margin-bottom: 0;\n",
-       "  padding-top: 2px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "  border-color: var(--xr-background-color-row-even);\n",
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-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
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-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
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-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-index-preview {\n",
-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
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-       "\n",
-       ".xr-var-name:hover,\n",
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-       ".xr-var-dtype:hover,\n",
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-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
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-       "\n",
-       ".xr-var-attrs-in + label,\n",
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-       "  padding: 0 1px;\n",
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-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(3.18189298)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b7190af2-9399-4c15-a05c-2b3af47124c0' class='xr-array-in' type='checkbox' checked><label for='section-b7190af2-9399-4c15-a05c-2b3af47124c0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>3.182</span></div><div class='xr-array-data'><pre>array(3.18189298)</pre></div></div></li><li class='xr-section-item'><input id='section-03284b87-949c-42c7-99eb-199df8fcc2bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-03284b87-949c-42c7-99eb-199df8fcc2bf' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e6111207-005c-42e4-ba52-cbe6cac6a712' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e6111207-005c-42e4-ba52-cbe6cac6a712' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-572567a8-b167-46c7-8c0f-dda09e6a0f94' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-572567a8-b167-46c7-8c0f-dda09e6a0f94' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
       "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(3.18189298)"
+       "3.1535063006007005"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "idata_trt[\"posterior_predictive\"][\"like\"].mean()"
+    "idata_trt[\"posterior_predictive\"][\"like\"].mean().item()"
    ]
   },
   {
@@ -3187,470 +1927,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
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-       "  color: var(--xr-disabled-color);\n",
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-       "  color: var(--xr-font-color2);\n",
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-       "\n",
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-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
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-       "\n",
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-       "\n",
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-       "\n",
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-       "  content: \")\";\n",
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-       "\n",
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-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
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-       "\n",
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-       "  grid-column: 1;\n",
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-       "\n",
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-       "  color: var(--xr-font-color2);\n",
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-       "\n",
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-       "  grid-column: 4;\n",
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-       "\n",
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-       "  grid-column: 2 / 5;\n",
-       "  color: var(--xr-font-color2);\n",
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-       "\n",
-       ".xr-var-name,\n",
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-       ".xr-preview,\n",
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-       "  width: auto;\n",
-       "  z-index: 1;\n",
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-       "\n",
-       ".xr-var-attrs,\n",
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-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
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-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
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-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
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-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(0.87379974)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-44c873a2-dcb9-4c06-9013-2f012ad396b1' class='xr-array-in' type='checkbox' checked><label for='section-44c873a2-dcb9-4c06-9013-2f012ad396b1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.8738</span></div><div class='xr-array-data'><pre>array(0.87379974)</pre></div></div></li><li class='xr-section-item'><input id='section-4c1a3987-9d91-4c83-8bc0-aac75cc964da' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4c1a3987-9d91-4c83-8bc0-aac75cc964da' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0c50c3c4-b071-45b5-844d-63a00336c78e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c50c3c4-b071-45b5-844d-63a00336c78e' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a774fec7-738d-4f35-9b32-3d587c65ac3a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a774fec7-738d-4f35-9b32-3d587c65ac3a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
       "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(0.87379974)"
+       "0.845060028479013"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "idata_ntrt[\"posterior_predictive\"][\"like\"].mean()"
+    "idata_ntrt[\"posterior_predictive\"][\"like\"].mean().item()"
    ]
   },
   {
@@ -3662,472 +1954,24 @@
   },
   {
    "cell_type": "code",
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+   "execution_count": 17,
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-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;like&#x27; ()&gt; Size: 8B\n",
-       "array(2.30809323)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'like'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-df316e62-faa0-43da-90b8-09408bb85ee1' class='xr-array-in' type='checkbox' checked><label for='section-df316e62-faa0-43da-90b8-09408bb85ee1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.308</span></div><div class='xr-array-data'><pre>array(2.30809323)</pre></div></div></li><li class='xr-section-item'><input id='section-49260577-63d5-4f4f-a5bd-c25ed2606afc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-49260577-63d5-4f4f-a5bd-c25ed2606afc' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c4a4596c-67d7-4aa8-98e9-e490fa140c32' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4a4596c-67d7-4aa8-98e9-e490fa140c32' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1a8d2279-7cb0-442e-a987-4fed38400aa5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1a8d2279-7cb0-442e-a987-4fed38400aa5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
       "text/plain": [
-       "<xarray.DataArray 'like' ()> Size: 8B\n",
-       "array(2.30809323)"
+       "2.3084462721216874"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "(\n",
-    "    idata_trt[\"posterior_predictive\"][\"like\"].mean()\n",
-    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean()\n",
+    "    idata_trt[\"posterior_predictive\"][\"like\"].mean().item()\n",
+    "    - idata_ntrt[\"posterior_predictive\"][\"like\"].mean().item()\n",
     ")"
    ]
   },
@@ -4144,12 +1988,12 @@
    "source": [
     "### Nets Example\n",
     "\n",
-    "Next we'll asses a data set used by Andrew Heiss to demonstrate propensity score methods with `brms`. "
+    "Next we'll asses a data set used by [Andrew Heiss](https://www.andrewheiss.com/blog/2021/12/20/fully-bayesian-ate-iptw/) to demonstrate propensity score methods with `brms`. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -4283,7 +2127,7 @@
        "4         19.2          54    0       44  "
       ]
      },
-     "execution_count": 16,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4297,7 +2141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "metadata": {
     "tags": [
      "hide-output"
@@ -4318,7 +2162,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "182a4075a44c4e3b939b591fe87c05e5",
+       "model_id": "bb4ad535cb214cec98711dc583631b80",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4343,7 +2187,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 16 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 17 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -4355,7 +2199,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "561847f2f5aa418398a2f0509603dc66",
+       "model_id": "9488f2b6240a40c69595672d70ce756d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4390,7 +2234,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1ccae1effafb43c2ad65101b1b97c2e2",
+       "model_id": "e1665f2bcaab42c3a2d208a7d1888191",
        "version_major": 2,
        "version_minor": 0
       },
@@ -4443,7 +2287,7 @@
     "    \"alpha_outcome\": [40, 30],\n",
     "    \"sigma\": 15,\n",
     "}\n",
-    "net_model = make_model(\n",
+    "net_model = make_joint_model(\n",
     "    X_trt, X_outcome, T_data, Y_data, coords, priors=priors, normal_outcome=False\n",
     ")\n",
     "\n",
@@ -4459,12 +2303,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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v27Ztmjhxojw9PVWhQgW75Dyr93Fn/944cuSIXnrpJdtDq3LlyikuLk67d+/Wrl27tH79en3zzTe2sQTq1Kmj8PBwhYeHp+iXbn2YIN36fhwyZIitC0qxYsVUokQJnTp1SjNmzNDSpUs1Y8YMVahQwWF5vPbaa1qzZo3Kli2rihUrKi4u7g4l6Dw1atSQl5eXTp48aSt7q+TjLfTp00c7d+6Uu7u7ypUrp3z58unChQvavn27tm7dqm7dupHMZ0cGgLvio48+MiwWi/Hqq69mav1Vq1YZFovFqFatmrFw4ULb9OvXrxuvvfaaYbFYjJYtWxqxsbF267Vs2dKwWCxG9erVjalTpxqJiYmGYRjG1atXjWeffdawWCxG3759jZo1axqLFi2yrXf27FmjdevWhsViMX777Te7bW7evNkWS506dYxNmzbZ5oWFhRlPPvmkYbFYjIEDB6Y4jgULFhinT5+2mxYfH2/88ccfRrVq1YzWrVvbYrT69ttvDYvFYlStWtXo2rWrER4ebpt348YNwzAMIzQ01HYObmexWAyLxWLUrFnTmDdvnt25e/755w2LxWK8+eabduskJiYajz/+uGGxWIyXX37ZiIyMtM1bunSpUaNGDaN69eqGxWIxQkNDU+wzNe+++65hsViMd9991276uXPnjDp16hgWi8UYPXq0cfPmTVscP/zwg60MDxw44PDcfPvtt3bT582bZ1unffv2xvHjx23zQkJCbPtau3at3XrWsu3Zs2e6jym5M2fOGEuWLDGioqLspl+4cMEYOHCgYbFYjAkTJqRYL/nndOLEiUZCQoJhGIYRFxdnDB482LBYLMYzzzyTYj3rZ79jx47G2bNnbdM3btxo1K5d21ZGmzdvztTx3G7atGmGxWIx6tevb8THx6d7va+++sqwWCxGQECA8cEHHxi7du2yHeOd3OlzbZXZc963b1/DYrEYnTp1srumtm3bZtSrVy/Vczdr1izDYrEYrVq1spuXkJBgfP/994bFYjEefvhh27WZHtbyT359Jj+OGjVqGBaLxVi2bJlhGP87L1WrVjVq1aplrFixwra89R64f/9+o1q1aobFYjEmT55su6/cvHnT+PDDDw2LxWLUrVvXOH/+vN3+evbsabu/DRo0yIiOjjYMwzCSkpKM6dOn2+bdfi2uXbvWCAgIMBo0aGCL08p6f6tdu3aK/WXm/jRq1CjbfeT2cj969Kjx+++/202703Vt3X9qunXrZlgsFmP58uUp5sXFxRmBgYGGxWIxDh8+nOo2ktuwYYNtn88//7yxZs0aIyYmJl3rvvrqq4bFYjHatGlj7Ny5027eyZMnjcmTJ9tN+/TTTw2LxWI0bdrU2Lt3r92yjz76qGGxWIw33njDbp30fLbOnTtnBAYGGgEBAcaPP/5ou18bhmEEBwcbzZo1MywWi7Fq1ap0HZdh/O9entq9t3///obFYjH69etnGIZhXLt2zZg/f75x5coVu+WuXr1q+3wMHTo0xXasn++qVasaI0aMsDv31uNzxn3cWb83oqOjjTZt2hgWi8X4+OOPjevXr9vmHTlyxOjQoYNhsViMX3/91eH5vP27Mbkvv/zSsFgsxtNPP23s37/f7jxY7xGdOnWyW8d6LVWtWtVo1KiRsWPHDtu89N7zrGVwp9isrL8Zbr83Wr/jb/8tYbV06VLDYrEYTz75pN393TAM49KlS8a0adPSfd3BXOigC9wl58+fl6RMN8e21sj36NFDTz75pG26j4+PvvjiC/n5+SksLEyLFy92uP7DDz+sPn362GqyCxQoYGuWvWbNGj3zzDN2r70pWbKkXn75ZUm3mtM6kpCQoIEDB6phw4a2aaVKldJnn30mSVq+fLmtSaXV008/bRul1crT01PPPPOM2rdvr9DQUO3cudPh/jw8PPTNN9+oRIkStmkZqR3t0qWL3eBaPj4+GjZsmMNj3LBhgw4fPixfX1999dVXKliwoG1eu3bt1LdvX8XHx6d732mZOXOmoqKiVLVqVb3//vu2GjB3d3f1799fzZs3V3x8vF1NenokJCTo008/tatZqFWrlp555hlJ0rp165x2DNKtmrLHHnssxSBlRYsW1eeffy4vLy/99ddfqa7ftGlT9e3b11bD5+Xlpffee0/e3t7atWuXrl69alv21KlTWrFihSTps88+s6t9adSokV5//XWnltGFCxf0/fffS5Kef/55eXqmvzHbK6+8ourVq8swDP3+++965plnVLduXXXv3l1ffvml9uzZk+m4MnPOjx8/rjVr1sjLy0vjx4+3u6bq1aunYcOGOTx3cXFxCgoKkoeHhyZMmGDXUsLDw0P/93//p3bt2uncuXO2N3ZkxaVLl/TOO+8oLi5OBQsWVOPGje3mJyYm6vXXX1fr1q1t06y1hVOmTFFCQoJat26tl19+2Xbv8/b21gcffKDKlSvr+vXrmjVrlsN9FyxYUGPHjrXVWLq5ualXr1565JFHlJCQoJ9//tlu+fHjx8swDI0ZMyZF7fszzzyj3r17Kzo6WnPmzHG4v4zcn6zdDV544YUU5V6xYkV17drV4T4yo3PnzpJk15TXas2aNYqMjFSNGjXS/erAxo0b2+LbtGmT+vbtq3r16unJJ5/UBx98oNWrVysxMTHFert379aKFSvk7e2tyZMnq2bNmnbzy5UrZ/vOkqSoqChb2Y4cOVLVq1e3W9b6PbV06VK7GnerO322fv75Z0VGRur5559Xv3797Fos1KlTRx999JGkWy01ssowDE2bNs3WfPuxxx6TJOXPn18dO3ZM0S2oQIECGjFihEqWLKl//vlHCQkJDrdbuXJlffjhh3bdDKzHl9X7uDN/b8ybN0+nT59W27ZtNXz4cLtBQitVqqQvv/xSbm5uKa7HtFy+fFnTpk2Tj4+PfvjhB7suULlz59aIESP04IMPau/evdq+fXuK9RMTE/Xhhx+qdu3atmkZ+T0i3eoCEBAQkOI/Z7y1w9odo3Pnznb3d0kqVKiQnn/++RRdTJA90MweuEuio6MlKVM3z+joaFuC26tXrxTz8+TJo2effdbWf7JLly4plnE0LfmXl6P51n6a1v6+t/Py8nK4XpUqVVS3bl0FBwdr/fr16t69u938Y8eO6e+//9bhw4d19epV24+N8PBwSbeaXzpqotu4ceMsvXrOUawBAQHKlSuXrl+/bjeg2caNGyVJjzzySIpXwkhSp06dUrwTOCs2bNggSak2we7du7fWrl1rWy69qlat6rDrhXVaamWbFUlJSVq1apU2bNig0NBQxcTE2JqIurm56eTJk4qNjXV4LVgfMiRnfff0iRMnFBoaanuwsn79ehmGofr16ztMJLp06aIvv/zSKQl9XFyc3nzzTUVGRqpq1ap65ZVXMrS+j4+PZs2apZkzZ2rOnDk6duyYYmNjtWPHDu3YsUOTJ09W69at9emnn6pAgQIZji+j59z6+Q4MDEzxcE2SOnTooI8++kg3btywm75z505FRETowQcfTHWciVatWmnZsmXatm2bnn766Qwdx8SJE23JrvXVdNam2B9//LHD0f6feuoph9uyXiuO7pnWxPyDDz7Qhg0b9MYbb6RYpkuXLg5/nPfo0UPLly/X+vXrbdPCwsK0b98+FS5c2C75S65Vq1aaOnWqtm3b5nB+Ru5P1gdXy5YtU0BAwF19Vdljjz2mMWPGaN26dbp8+bJdP2xrgp/R11iOGjVKTZs21YwZMxQcHKyEhAQdOnRIhw4d0uzZs1W5cmWNGzfOru/zypUrJUlt27a1ayqdmuDgYMXGxqpUqVIOy+Shhx5S7dq1FRISog0bNjgc5yG1z9by5cslOb5fSVKzZs3k5eWlkJAQJSQkZOjB3/79+23fmQkJCTp9+rQiIyMl3XqQfPu75jdt2qTVq1fr5MmTio6OVlJSkqRb109sbKxOnTrlcGyItAbZzcp93Jm/N9I611WqVJG/v79CQ0N17ty5FIlratauXau4uDi1atXK4Tru7u5q0aKF9uzZo61bt6YYxyh//vypXuvpldqr6dLbre1OrMe0du1aPfPMMyTuOQjJPHCXWJ9wx8bGZnjd06dPKykpSd7e3g5/eEu3nlBL/6uxuZ2jHyrJf5Q5mm/94Wh9EHG7EiVKpPoqrYoVKyo4ODhFPBMnTtT48eNtPzgcSV77mtwDDzyQ6jrpkdqgXIUKFVJ4eLhiYmJsx2yNO7VXA/r7+8vHx0dRUVFZisnKuj9rOd7OmqxevHhRUVFR6X6FWWqfF2vZp1a2mXXt2jX17dtXISEhaS7n6MdFamVUuHBhnThxQjExMbZp1nOW2ufCx8dHxYsXz/IDC8MwNGzYMAUHB6to0aIKCgpy2Hc4Lbly5VKfPn3Up08fnT9/Xrt379b27dttfZxXrlypAQMG2Pqip1dmznlan+9cuXKpXLlydoN9SdLhw4cl3Upeb39IZ3X9+nVJ/2uNlBEnT560xebl5aWiRYuqXr16evHFFx0OHujn5+dwkK9r167p8uXLkuQwkZHSvmem9rmyTk9+LVrPy82bN1M9L9bxFlI7Lxm5Pz333HP6888/9f3332vhwoVq2rSp6tWrpwYNGmTpgacj+fLl06OPPqr58+dr8eLFtrcxXL58WevWrZOXl1emRld/5JFH9MgjjygqKkq7d+/Wzp07tXr1au3evVtHjhxRnz59tHjxYlv5Hj9+XJJS1Min5sSJE5JulVdqDzsqVaqkkJAQh5+B1D5b0dHRtsHHUhsU0OrmzZuKjIxMtd+6I1FRUbYxAdzd3VWgQAEFBgbq6aefVqdOnWzHEhcXp0GDBtlaJ6XG+iDgdqldF9LduY9n9veG9dr65ptv9OOPPzqM48qVK5JuXVvpTeat2921a1eq1+ylS5ds271duXLl0jVGxJ2k59V0mdWmTRv5+/tr/fr1atasmZo1a6Z69eopMDAw3a1oYE4k88BdYv2BlZnEwvrlVqhQoVR/lFh/LKSWnDkaqCb5thx9IadV23P74HaO5iWPZ9u2bfrqq6/k4eGhwYMHq1WrVipVqpTy5MkjNzc3ff311/rxxx9TbRaY2ojc6ZXa+tbaCSPZAEPWhy53eqd1vnz5nJbMW5PU1M5p8unR0dHpTubTOmZnGzt2rEJCQlShQgW99dZbqlmzpvz8/GzJ78MPP6zz58+nWlueWu2BozKynjNHP7itihQpkuVk/uOPP9bixYvl6+urqVOnOuXNBcWLF1fbtm3Vtm1bvf322xo3bpymTp2qLVu2KDg4WHXr1k33tjJzztP7+b6dNVG/fPmyLVlOTfLBAjNyLBmp5U3t8538oU9q11Ra98yMXIvW85I8EUtNauclI/enqlWr6tdff9WECRO0efNmzZ49W7Nnz5abm5uaNGmi9957747JWkZ17txZ8+fP159//mlL5hcvXqz4+Hi1a9fujm+ASIuPj48aN26sxo0b69VXX9XSpUs1aNAgXbp0SbNnz9b//d//SZLtXpvelivpuT84+p6ySq08kt/z0yprSSlat6Ql+WjkdzJp0iStWLFCRYsW1ZAhQ1S/fn0VLVrUdt13795dO3bsSPX79E41tVm9jzvz94b1fO/bty/VeK0ycq6t16x1oLw7cXTNZvX3yN2WN29ezZw5U998842WLVumJUuWaMmSJZJuPcQaMmSIWrZs6eIocTeQzAN3Se3atfXbb79lqtmd9Uf15cuXZRiGwy+9ixcv2i17L9zpx7x1XvJ4rH3sXnrpJYevDTt37pyTI8w864+N5EnB7ZxZq503b15dv35dly5dclhrYa0hkO5tGWdEQkKCbVTg77//PkXNZkJCgu1z6gzWH1N3+hwmP2+Z8fXXX+u3335T3rx5NXnyZLsR/p3F09NTb7/9tv766y9FRERoz5496U7mM3vOrZ/vO32G75TgPPHEE/ryyy/TFaMrJP+hfenSJRUrVizFMmndM1P7XCWfbl3Xur86deqk2gff2WrVqqUpU6YoOjpaO3bs0JYtW7R48WKtX7/eVqudmS4bjtSrV0/ly5fXvn37dPjwYVksFtso9hltYp+WRx99VP/884+WLl2q3bt326Zbz/W1a9fStZ2M3B8yck+9fdR3V40Gbv0+HTt2rJo1a5Zifma/T+/1fTwtefPm1bVr17R8+XK7UdudsV1J6t+/vwYNGuS07d5PSpQoobFjx+rjjz/Wvn37tGXLFi1btkx79+7Va6+9plmzZqW7pQvMgwHwgLukefPmyps3ry5duqRly5ZlaN2yZcvK3d1dcXFxKQaUszp69KgkpasvobOEh4enmgxYX92WPB5r08TkA8Ykd/DgQecGmAXWuG9vZmx19uxZp9XKJ9+ftRxvd+TIEUm3ahPTWyufGVnpe3v58mXFxMTI19fXYRPlI0eOOBzYKrOs58zanPZ20dHRWXpA9NNPP+nHH39Urly59OOPP+qhhx7K9LbS4u7urlKlSkmS3euN0iqPzJ5z64CI1qamt4uLi7MNoJSctWm69fN4vypQoICtRja110imdc+0Nuu+nXV7ya9F63mxvsf8XsqXL5+aNWumIUOG6J9//lHZsmV1/vx5pw9umXwgvMOHD2vfvn0qWrSow0Qyq6zdg5LX/FrPcVqvTbSyfsaPHTuW6qsNM/O9mT9/ftvDodTu1/fCnb5Pr1y5kqluLtK9v4+nxdrCJKP3nLTunWa5l6UmI9/Vnp6eqlmzpvr27at58+apQ4cOSkxM1Lx58+5ihHAVknngLilQoIBtIKZPPvkkzaa/wcHBtiZ8+fLls31hO2p+d+PGDdugUU2bNnVm2HcUHx+vuXPnpph++PBhbd++3dbk08o6mJSj2tL169ffV8m8Ne7ly5c7TNrnz5/v1P1Zy+23335zON9a7ne7fK3NIzPaNDT5ulFRUQ7X/+mnn7IW3G2s52Lbtm0Of1TPmTMn04PfzZ49W1988YW8vLz0zTffpHi/fUal1ULg2rVrDhOLtMojs+fcOir8li1bbElBckuWLHG4vXr16snPz08HDx7Uli1b7nBErmf9fDi6ZxqGoV9//dVuudvNnTvX4XujrTXvye9t5cuXl8ViUWRkpK3G2hXy5Mljaz1y4cKFdK2T3mv+6aefloeHh/766y/b90163y2fXHpay1j7aie/Fqzvj1+xYoXD0edvV7duXeXJk0fh4eG2wfOS27Nnj0JCQlJ8T6WH9W0Fv/zyS4bWcyZruTk6nz///HOmE+57fR9Pi/VcT58+PdWHMo5Yf2+k9rlu3ry5vLy8tG7dulTHzbifpXV8d2KtjU/vPQLmQjIP3EUDBgxQ7dq1dfHiRXXr1k1//vlnir5YJ06c0EcffaTevXvbNQ+0jp49a9Ysu1fCREVF6Z133tHly5fl7++fqYGIMsvT01MTJkzQ1q1bbdPOnTund999V9KtL+HkTcatTYcnTZpk18Jg9+7deu+99zL8Wpe7qXHjxgoICNCVK1c0ZMgQu6adK1as0KRJk5zavLJ79+7y8fHRgQMH9Mknn9iSiKSkJE2ePNn2GrE+ffo4bZ+OWPuDHz16NM0+0bcrUKCAKleurISEBLtjSExM1KRJk7RkyRKnnrNy5cqpdevWMgxD7777rl0t/JYtWxQUFJSp/f3zzz/68MMP5e7urs8++8wp/QpfeeUVDR48WJs2bUrxgOHAgQN69dVXFR0draJFi9oll4UKFVK+fPl06dIlhzXMmT3nFSpUUIsWLRQfH68333zTrhYvODhYY8eOdbherly59Prrr0uS3njjDf37778pfmAfPnxYX3zxhYKDgzNwhpzvxRdflKenp1auXKmpU6faaszj4uI0ZswYHT58WPnz50918KvIyEi99957tq42hmHot99+0/Lly+Xh4ZHiWhwyZIjc3Nw0atQozZkzJ0Vf5dDQUP3www+20bmzYuTIkVqyZEmKAVW3bdumTZs2SVKqbxu4nbUWPPl93JFixYqpWbNmioiI0MyZMyVlron9jz/+qB49emjx4sUpHpReuHBBH3zwge1hcPK3IdSoUUNt27bVzZs39corr9g1wZduvYprypQptn/7+PjYynbUqFHav3+/bd7p06c1dOhQSbdG609t8MHUvPLKK/L19dWCBQs0duzYFE3/IyMjNXfuXNurLO8G6/fpp59+amshZxiG/vzzT02dOjXT36f3+j6elq5du6pMmTLasmWLhgwZkiIBjY6O1pIlSzR27Fi76dbPtbVr4+2KFy+u559/XvHx8XrppZdSPJw0DEO7d+/WyJEjU20R6UrW49uzZ4/DgZWnTZumadOmpegScfbsWVslTHrvETAX+swDd5G3t7emTJmiYcOGadmyZXr33Xc1cuRIlS1bVrly5dKFCxdsP6pLlChh9wOjZcuW6tu3ryZNmqQhQ4Zo3LhxKly4sI4fP66YmBgVLFhQ48ePdzjwzN1Su3Zt5cuXT7169VL58uWVN29eHT58WAkJCSpTpkyKkX67du2qWbNm6fTp03rsscdUoUIFxcfH68SJE6pUqZLat2+f4XfF3i3u7u76/PPP1atXL61evVoPP/ywKlasqCtXrigsLEy9evXSqlWrFBYWluURbaVbPyw+//xzvfHGG/rll1/0559/qmzZsjp79qwuXbokd3d3jRgxQlWqVHHC0aWuUKFCatiwoTZv3qw2bdqoUqVKypUrl4oUKaKvv/46zfXfeustvfrqq5o9e7aWLVum0qVLKywsTFeuXNGrr76qhQsXOqwJzqyRI0fq4MGD2rt3r9q0aaPKlSsrJiZGJ0+eVIsWLRQdHZ3qq8BS8/bbbyspKUk+Pj769ddfbTW4txsxYkS6fwwlJSVp8eLFWrx4sW2keG9vb124cMH247RAgQIaP368XZ9cNzc3Pfroo5o3b546duyoypUr2+Zba5wze84/+ugjde/eXbt371br1q1lsVgUExOjEydOqFWrVrp+/bq2bduW4vPdo0cPhYeHa9KkSRowYIB8fX1VpkwZJSUlKSwszDZ6dlZbM2RV1apV9f7772vUqFH67LPPNGXKFJUsWVKnTp3StWvX5O3trS+//DLV10C9+uqr+uGHH7Rq1SpVqFDBrqzeeuutFKPrN2/eXCNGjNCYMWM0fPhwjR07VuXLl5ebm5vOnTtn+1H94YcfZvnYdu7cqd9//12enp4qV66c7YGPtZyffPJJNWzYMF3beuyxx3TkyBH1799fAQEBtq4DX331VYpz07lzZ61Zs0YJCQkZerd8cm5ubgoODlZwcLDc3d1VtmxZFShQQJcvX9a5c+eUkJAgDw8PDR06VDVq1LBbd8yYMbp48aJCQkL0zDPPyN/fX35+frbz6+/vr5deesm2/BtvvGHrK9yxY0dVqlRJnp6etqbiVapU0QcffJDhYyhRooS+//57vfbaa5o2bZp+++03VahQQXny5NHly5d15swZGYah9u3bZ3jb6TVw4EBt3LhRq1at0sMPP6xy5copIiJCFy5c0FNPPaXw8PA0H9Ck5l7fx+8kX758mjhxovr27avFixdryZIlqlChgnx8fHT16lWFhoYqMTExRd/vpk2bqmDBggoODlaLFi1UpkwZeXp6qlmzZrYxewYNGqQLFy5o0aJF6t27t4oWLaqSJUvaujRaH5JYB328n1SvXl3ly5e3fddVqFBBXl5eqlKlit5//32FhYVp+vTpGjt2rPz9/VW4cGFFRUXp1KlTSkxMlMViueuVA3ANknngLsuXL5++/fZbbd++XQsWLND27dt15swZxcfHy8/PTy1atFDbtm31+OOPp0jMBw8erDp16mjGjBnau3evLl68qGLFiunJJ59U//79Hb6v9G5yc3NTUFCQJk6cqEWLFuno0aPy8/NTmzZt9Prrr6cYRdjHx0czZ87UuHHjtHbtWp04cULFixdXnz59NGDAgPsmkbeqUqWK5s2bp/Hjx2vDhg06cuSIypUrpw8++EDPPfecFi9eLCljgydZmz46qtlo3bq15s+fr0mTJmnz5s06ePCg8ufPr7Zt2+qll15KdawBZxs3bpzGjRunDRs2aN++fUpISJC/v3+61m3VqpUmT56s7777TgcOHNCJEydUuXJlvffee3ryySe1cOFCp8ZavHhxzZ07V998841Wrlypo0ePqlSpUnr99dfVt29fvfjiixneprXmPK2Rya2jIafH1KlT9d9//2ndunU6cuSILly4oOvXrytv3ryqWbOmmjZtqueee87hCOrvv/++8uXLp5UrV+rQoUMpavYze85LlCihOXPm6Ntvv9WqVat05MgRu3PXrVs3SY4/34MHD1bLli3122+/KTg4WAcPHlS+fPlUvHhxtW7dWu3atVOjRo3SfX7ulh49eiggIEBTp07Vjh07dPDgQdt9tl+/fqm+ClK61aVg5syZmjBhgnbu3Km4uDjVqlVLL7/8stq2betwneeee07169fX9OnTtXnzZh09elTe3t4qUaKEGjZsqLZt26p58+ZZPq5hw4Zp5cqVCg4OVnh4uE6fPq1ixYrZPkcZaU3St29fJSUl6e+//9bRo0dtNbGORvBu2bKl/Pz8dOXKlUwPfPfWW2+pSZMmWrdunXbt2qXz588rLCxMXl5eKl++vOrVq6fu3bs7fHBZsGBBzZgxQ3/88YcWL16sI0eO6OLFiypatKjatWunjh072i2fO3duTZkyRbNmzdLChQttYxpUrFhR7du31wsvvJDp92/XrVtXS5Ys0S+//KI1a9bYXiFbvHhxNWvWTC1btrQ1Eb8batSood9++03jx49XSEiITpw4oXLlyqlv377q2bNnlhLQe30fT0vFihW1cOFCzZw5UytWrNCxY8cUGhqqokWLqn79+mrevHmKc+3j46MpU6bo22+/tb36MCkpye67zNPTU1988YUef/xx/fHHH9q1a5cOHDigAgUKqHz58qpdu7batWtnG3/hfuLu7q6JEyfqq6++0vbt27V79267rhXdunVTwYIFtXnzZp0+fVoHDhxQwYIF9eCDD+qJJ55Qly5d7mnlD+4dNyMjHVIA5EhbtmxR79690/0KnezoypUratiwoQoUKJChmt/+/ftr9erVeumll/TOO+/cxQiBzEtKSlJgYKCuX7+urVu3qmDBgq4O6Z7p1auXtm7dqunTp7u8dcH95tq1a2rSpIkMw9D69euz9Eo6AIDz0WceANLBOgBeRmvLraOHO/Md0ICzLV++XNevX1elSpVyVCKPO/vrr78UFxen1q1bk8gDwH2IZB4A/r9Dhw5p9uzZdq/fMwxDCxcu1DfffCNJtqbI6TFt2jSFhYXZ+u0BrnTx4kVNnjxZV65csZu+bt06jRw5UlLGPt/I3iIjI20jmffo0cPF0QAAHKHPPAD8f5GRkfrggw/00UcfqVSpUvL19VVoaKhtgK+uXbuqVatWaW7npZde0qFDhxQRESFJevnll23vKQZc5caNG/ryyy81btw4lShRQkWKFNG5c+dsn9MWLVqQtEGTJk3SmjVrdOTIEV27dk1Nmzal+wEA3KdI5gHg/6tUqZJefvllbdiwQeHh4QoPD5ePj48aNWqkZ599Nt0jFe/evVvx8fGqXr26unbtqq5du97lyIG0FS5cWAMGDNB///2nM2fO6ODBg8qdO7fq1Kmjp556Sl26dHHKmxpgbsePH1dwcLB8fX311FNPadiwYa4OCQCQCgbAAwAAAADAZOgzDwAAAACAyZDMAwAAAABgMvSZN5HbRyDG/aNgwYK6evWqq8NABlBm5kOZmRPlZh7R0dEqU6aMJCk0NFT58uVzcURIL64zc6LczOdelpmfn1+ay1AzDziBuzuXktlQZuZDmZkT5QbcfVxn5kS5mc/9Vmb3VzQAAAAAACBNJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDKerg4AAAAAAHD/++eff7Rr1y4dPHhQx44dU3x8vIYPH67HH388w9vatWuXZs+erT179ujKlSvKkyePChUqpICAADVo0EAdOnSwLbt48WKNHj060/vKrkjmAQAAAABpmjhxos6dOydfX18VLlxY586dy9R2Fi9erDFjxsjDw0ONGzdWmTJldPPmTYWFhWnjxo0KCQmxS+bhGMk8AAAAACBN7733nsqUKaOSJUtq+vTp+v777zO8jRs3buirr75S3rx5NWnSJFWsWNFufkJCgoKDg50VcrZGMg8AAAAASFNgYGCWt3Hs2DHFxMTo4YcfTpHIS5Knp6caNGhg+/eoUaO0ZMkSSdLo0aM1evRo27zNmzdLkg4ePKjFixdrx44dOn/+vBISElS6dGm1a9dOPXr0kKdnyrR3x44dmjRpkg4ePChvb2/Vr19fr7/+uj788EOFhITYtm1lGIbmzp2r33//XceOHVNiYqIqVKigzp0764knnsjyeckMknkAAAAAyCrDkBJi0794nLcUH3MXA7qNZx7Jze3e7S8VBQoUkCSdPXtWSUlJcne/85jszZs3V1RUlNatW6eHH35YlStXTrHMwoULtX79etWqVUuNGjXSzZs3tWPHDn3//ffav3+/Pv30U7vlt2zZorfeekuenp5q3bq1ihQpoh07dqhfv37Knz9/iu0bhqGRI0dq+fLlKlu2rNq1aydPT09t3bpVY8aM0YkTJ/T6669n4axkDsk8AAAAAGSFYSjP7OfkcTYk3askSPK5exGlkFiqjmK7/uryhL506dIKCAjQoUOH9Nprr6lDhw6qXr26ypYtKw8PjxTLN2/eXNevX7cl844GwOvdu7eGDBlit75hGPrkk0/0119/adeuXapZs6YkKTExUWPHjpVhGPruu+9Uo0YN2zoff/yx/v777xTbX7hwoZYvX64uXbrozTfftNX0x8fHa9iwYZo5c6YeeeQRValSJcvnJyN4NR0AAAAAZJnra73NwM3NTZ988okefPBBhYSEaPTo0erevbtat26tAQMGaPHixUpMTMzQNkuWLJniQYCbm5s6d+4sSdq2bZtt+q5du3Tu3Dk1a9bMLpGXpH79+jl8oDB37lzlyZNHH3zwgV2TfS8vL/Xv31+StHz58gzF7AzUzAMAAABAVri53ar1zkAze19fX0VGRt69mG53nzSzlyR/f39NnjxZhw8f1rZt27R//37t2bNH27dv1/bt2/XPP//o66+/lre3d7q2Fx8frzlz5mjFihU6efKkYmNjZRiGbf7Fixdtfx85ckSS9NBDD6XYTrFixVS8eHGdPXvWNu3GjRs6duyYihQpokmTJik21r6MExISJEmnTp1K/wlwEpJ5AAAAAMgqNzfJK2/6F/fOJ3nF3cWA7n8Wi0UWi8X27+DgYH344YcKDg7WvHnz1L1793RtZ9iwYVq/fr3Kli2rNm3ayM/PT56enoqKitLs2bMVF/e/8xwdHS3p1sMURwoVKmSXzF+7dk2GYSgiIkJBQUGpxnB7kn8vkMwDAAAAAFyubt266tevn0aPHq3t27enK5nfv3+/1q9fr4YNG2rcuHF2zeT37t2r2bNn2y2fL18+SUq1VcTly5cdLl+lShUtXLhQV65cycgh3VX0mQcAAAAA3Bdy586dYpo1QU9KSkoxLywsTJLUuHHjFP3dd+7cmWJ562j4u3fvTjHvwoULOn/+vN20fPnyqXz58jp58qSuXbuWvoO4R0jmAQAAAAD3xNmzZzVnzhxbc/fkYmNjbTXp1tHnpf+9zu7ChQsp1ilRooSkWwPbJXf8+HFNnz49xfI1a9ZUiRIl9N9//2nfvn128yZOnOhw8L1nn31WN27c0PDhwx02pz979qxd0/x7hWb2AAAAAIA0LVy40JY0Hzt2TJK0aNEi7dixQ9Kt18g1b978jtuIiorSuHHjFBQUpJo1a+qBBx5Qrly5FBERofXr1+vatWuqUqWKnn32Wds6NWrUUK5cuTR79mxFR0fLz89P0q1X0lWrVk3VqlXTypUrdenSJVWvXl3nz5/Xf//9pyZNmmjVqlV2+/fw8NA777yjt99+W6+++qratGmjwoULKyQkRBEREapcubKOHj1qt07Hjh21d+9eLVmyRMHBwapfv76KFCmiy5cv69SpU9q3b59GjRqlUqVKZe0EZ5CbkXyYP9zX7qf+GbDn5+dH+ZgMZWY+lJk5UW7mER0drTJlykiSQkNDbf1Ecf/jOjMnM5bbqFGjtGTJklTnv/TSS3rllVfuuI24uDht2LBBW7Zs0b59+xQREaHr168rX758qlChglq0aKFOnTopV65cdutt3LhRP/30k44dO6abN29KkjZv3izpVp70/fffa/Pmzbp27ZpKly6tjh07qnHjxurUqZPat2+vDz74wG57wcHBmjRpkg4ePKhcuXKpfv36ev311/XWW2/p/PnzWrFiRYrYN23apJkzZ+rQoUOKiYmRn5+fypQpo6ZNm6p9+/apDqqXGdYHFndCMm8iZrvYcxIz3oxzOsrMfCgzc6LczINk3ry4zsyJcrv/REdHq3379qpYsaKmTp2aYv69LLP0JPP0mQcAAAAA5BixsbEp+uwnJiYqKChIN2/eTLOrwP2CPvMAAAAAgBwjNDRU/fr1U4MGDeTv76+YmBjt3LlTJ06c0AMPPGDXX/9+RjIPAAAAAMgxihYtqlatWikkJESbN29WYmKiihcvrueee04vvPCC8uTJ4+oQ04VkHgAAAACQY/j5+WnEiBGuDiPL6DMPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMp6uDgAAAAAAcH+7cOGCVq1apY0bN+rUqVO6dOmSChQooIceekg9e/ZUjRo1MrS9Xbt2afbs2dqzZ4+uXLmiPHnyqFChQgoICFCDBg3UoUMH27KLFy/W6NGjNXz4cD3++OPOPjTTIpkHAAAAANzRnDlzNGPGDJUuXVqBgYHy8/NTaGio1q1bp3Xr1mnUqFFq06ZNura1ePFijRkzRh4eHmrcuLHKlCmjmzdvKiwsTBs3blRISIhdMg/HSOYBAAAAAHdUrVo1/fjjj6pVq5bd9J07d2rAgAH6/PPP9fDDD8vb2/uO27lx44a++uor5c2bV5MmTVLFihXt5ickJCg4ONjZ4WdLJPMmkpiYqKSkJFeHAQfi4+MVHx/v6jCQAZSZ+VBm5kS5mUfycqLczIXyMiezlVvTpk0lKUXM1atXV+3atbVt2zYdOnRIVapUueN2Dh06pJiYGDVt2lRly5Z1eA7q1Kljmz5mzBgtXbpUkjR69GiNHj3attx///1n2+aSJUsUEhKiCxcuKD4+XqVLl1bbtm3VrVs3eXqmTHtDQkI0ZcoUHTp0SN7e3qpXr55effVVjR49Wjt37rRt28owDM2ePVt//PGHjh8/rsTERJUvX14dO3Z0WSsCknkTCQsLU1xcnKvDgAORkZG6evWqq8NABlBm5kOZmRPlZh6xsbG2v0NDQ5UnTx4XRoOM4Dq7PxiGFBfnlu7lCxSI1LVr1+5iRPa8vQ25pT+8DLEm3hcuXEjz3nH9+nVJ0unTp3XixAm5u995TPYqVaooIiJCwcHBqlu3rsqWLWubd+rUKUnSzJkzFRISooCAAFWrVk1xcXE6cOCAJk6cqB07duiNN96w2+aePXv05Zdfyt3dXQ0bNpSvr68OHDigfv36KV++fHbblm4l8j/88IM2btyoEiVKqGHDhvL09NTevXv16aefavfu3erRo0c6z1b6FCtWLM1lSOZNJC4uTh4eHvLw8HB1KLhNrly50mxShPsLZWY+lJk5UW7mkZiYaPvb29ubcjMRrjPXMwzpo9FFdfhIrgyuWfiuxOOIpfJNjRwe4fSE/uLFi9q3b598fX1VsWLFNJPzMmXKqEKFCjpx4oQ+/fRTtWjRQpUqVVKpUqUcrtu4cWPFxcUpODhYDRo0UIsWLVIs07lzZ/Xt29dufcMw9OOPP2r16tU6fvy4rcVAUlKSpk6dqqSkJI0aNUqVK1e2rfP9999rzZo1kmR3Ta1YsUIbN27Uo48+queff96WjyUkJGjcuHFasmSJHn74YT3wwAPpPm93kvx+fCck8ybj4eEhLy8vV4eB23h5eVEuJkOZmQ9lZk6Um3kkb+rq6elJuZkI15nrGYbk5n6Xqr2dxM3dTV5eXk5N5hMSEhQUFKT4+Hg9//zzypUrfQ8z3nnnHY0fP1779+/X/v37Jd16KBUQEKDmzZurefPmdhWY1r9Ty4VKlSrlcD8dOnTQ6tWrtX//fj344IOSpL179yoiIkINGjRQtWrV7JZ/7rnntG7dOiUlJdntZ/ny5cqdO7cGDRqkmJgY23QvLy/16tVLwcHB2rRpkwICAtJ1/M5CMg8AAAAAWeDmJn088opu3kz/OgV9fXU1MvKuxXS7XLnk1EQ+KSlJQUFB2r9/v9q2beuwxjw1JUqU0KeffqoTJ05o165dOnr0qA4ePKjdu3dr9+7dWr16tT744IN0P6SKj4/XkiVLtH79eoWFhenGjRsyDMM2//Lly7a/T548KUkO+/YXKVJERYsW1fnz523Tbt68qVOnTqlQoUKaOXOmbty4YbdOQkKCJOnMmTPpPn5nIZkHAAAAgCxyc5Ny507/8nlySzczsPz9xDAMff/991q7dq2aN2+u/v37Z2o7FSpUUIUKFWz/3rt3r8aPH6+9e/fqn3/+0ZNPPpmu7XzxxRfatm2bSpUqpSZNmqhgwYLy9PRUdHS0Fi9ebNfyyDo+SIECBRxuq2DBgnbJfFRUlAzD0KVLl/TLL7+kGsPNjDzJcRKSeQAAAABAuiQlJem7777TqlWr1KxZMw0cODDNfvLpVaNGDXXv3l1BQUHas2dPupL5I0eOaNu2bapdu7bef/99u+b5hw4d0uLFi+2Wtw7Ql9rgg7cPJpk3b15JUsWKFfXTTz8p8h62pkiLc846AAAAACBbS57IN23aVG+88YbTB+fO7aB5g/VhgaPXdJ87d06SVLdu3RSxWPvjJ1e+fHlJ0sGDB1PMu3jxoi5evGg3LU+ePCpdurTOnDmjqKio9B3EPUIyDwAAAAC4o+SJfOPGjfXmm29mKpE/f/68lixZYvc6TKsbN27YatKrVq1qm+7j4yNJunTpUop1ihYtKkk6cOCA3fTTp09r/vz5KZavWrWqihYtqm3btunw4cN282bNmuVwJPkOHTro5s2b+vLLL1P0mbce04ULF1JMv9toZg8AAAAAuKM//vhDq1atUu7cuVWqVCnNmTMnxTINGjSw6wPvSExMjCZPnqxffvlFVatWVdmyZeXt7a1Lly5p+/btioqKUsWKFdWhQwfbOgEBAfL29tZff/2lmJgYW3/3zp07q3LlyqpcubI2bNigK1euyGKx6OLFi9q6davq1q2rTZs22e3fw8ND/fr109ixYzVixAg1bdpUvr6+2rdvny5fvqzy5cvbvWNektq1a6fDhw9r9erV2r17t2rWrCk/Pz9dvXpVZ86c0ZEjRzRo0KB0vRvemUjmAQAAAAB3ZK15vnHjhubOnetwmWLFiqWZzJcuXVrvvPOOdu7cqcOHD2vt2rWKiopS3rx5VaZMGTVs2FCPPvqo3Xve8+fPr3feeUe///67li5dqri4OEm3knkPDw+9//77mjFjhkJCQnT06FGVLFlSL7zwgurUqZMimZduNckfOXKkZs2apfXr18vb21sPPfSQhgwZoo8//tjWr97Kzc1Nr7/+upo1a6aFCxdq+/btunHjhgoWLKiSJUvq+eefV82aNTN0Pp3BzUg+Zj/ua9u2bZO3tzfvEb0P+fr63leDYSBtlJn5UGbmRLmZR0xMjOrXry/p1m8O66BPuP9xnZkT5Xb/iY2N1QsvvKBy5crp888/TzH/XpVZfHx8uh4O0GceAAAAAJBj3LhxI0Wf/cTERE2bNk1xcXFq0KCBiyLLGJrZAwAAAAByjPDwcL333nuqVauWihcvrtjYWB04cEChoaEqU6aMXX/9+xnJPAAAAAAgxyhUqJAaN26sffv2KSQkRImJiSpatKieeuopPfPMMw5fj3c/IpkHAAAAAOQYBQsW1MCBA10dRpbRZx4AAAAAAJMhmQcAAAAAwGRI5gEAAAAAMBmSeQAAAAAATIZkHgAAAAAAkyGZBwAAAADAZEjmAQAAAAAwGZJ5AAAAAABMhmQeAAAAAACTIZkHAAAAAMBkSOYBAAAAADAZknkAAAAAAEyGZB4AAAAAAJMhmQcAAAAAwGRI5gEAAAAAMBmSeQAAAAAATIZkHgAAAAAAkyGZBwAAAADAZEjmAQAAAAAwGZJ5AAAAAABMhmQeAAAAAACTIZkHAAAAAMBkSOYBAAAAADAZknkAAAAAAEyGZB4AAAAAAJMhmQcAAAAAwGRI5gEAAAAAMBmSeQAAAAAATIZkHgAAAAAAkyGZBwAAAADAZEjmAQAAAAAwGZJ5AAAAAABMhmQeAAAAAACTIZkHAAAAAMBkPF0dAAAAQHYSesZD5855qkSJBJUpnejqcAAA2RTJPAAA95Gr19xcHYLTZcdjcuR6lJsm/1RQ+w9426ZVqxqnV16+qvw+hgsjS5/Y2P+V07XrbopPyBnl5iwFC9z/ZQwgeyGZB3BfuHHj3u4v9sa93yeyJqeU2cv9irk6hLsgOx5TSu7uUr580qgP3VTzQWnXHumLcd4a/HZRJSW5Orq0JSVF2/5+7fWicnfP58JozGfGz+ddtu+ccn/Mbii3tOXO7eoI7m8k8wDuC736FHfBXl2xT2QNZYb7V1KS9PZgN7VqcatGu1ULyTCkkR9RY5sTuOZ7LDlX7x+ZQ7ndyZxZrntIZgYMgAcAAOAkNR+0/3eth1wTBwAg+6NmHsB94V43Tyzo66urkZH3dJ/ImpxSZq6v3UNW7Npzq0beaudul4WCe8yVzexzyv0xu6HckFUk8wDuC/e6T1Se3NJN+mGZSk4ps58mXnB1CE5VsEBBXb121dVh3BNfjffVV197yTDcVeuhW4n81+OTVK1qvN56M9LV4aUpNjZGrVvd+vu7byOUJ0/0nVeAHVf27c0p98fshnJDVpHMAwBwH8luI2L7+kpS9jqm1Ax+M1LfBPlq5Ef/G83+oQfj9caASBUwQbl6ef4vxgL5DeXNe//HDAA5Gck8AACAExQoYGjEe1d4zzwA4J4gmQcAAHCiMqUTSeIBAHcdo9kDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMhlO5rds2aKAgABNmDDhbsTjEkOHDlVAQIDtv1mzZt2zfX/99dd2+85O5xUAAAAAcHfcdzXzrVq1UqtWrVyy7969e2vAgAGqUaOG3fSAgAD16tUrU9tM6+FHw4YNNWDAAHXs2DFT2wcAAAAA5Dyerg7gfvL888+rdOnS93SfjRo1UqNGjbRlyxYtWLDgnu4bAAAAAGBO913NPAAAAAAAuLMsJfPbtm1Tz549Vbt2bQUGBmrw4ME6d+5ciuUuXbqkTz75RG3btlWNGjXUoEEDDRw4UIcPH7Ytc+bMGQUEBCgsLExhYWEO+5HHxcVpxowZeumll9S8eXPVqFFDjRo10oABA7R///6sHIpD1ibykrR161a7mObPny9Jmj9/vu3fa9asUY8ePVS7dm21atVKEyZMUO/evSVJQUFBduufOXPG6fECAAAAAHKGTDez37lzpyZOnKgWLVqoV69e2rdvnxYvXqzg4GDNnTtXRYoUkSSdPn1avXr10vnz59WkSRO1adNGly5d0vLly7V+/XpNmzZNNWvWVIECBTRgwAD98ssvkm41ebcKDAyUJF29elWffPKJ6tWrp+bNm6tAgQIKDQ3VqlWrtG7dOv3666966KGHsnI+7Pj7+2vAgAEKCgqSv7+/Xb/2qlWr2i27dOlSbdiwQS1atFCPHj0UHR2twMBAdezYUQsWLFBgYKDtOCSpQIECTosTAAAAAJCzZDqZX79+vUaPHq1nnnnGNi0oKEgTJkzQV199pU8++USS9M477+jixYuaMmWKmjRpYlv2//7v/9S5c2cNHz5cf/31lwoUKKCBAwfa+o0PHDgwxT4LFiyoNWvWqHjx4nbTjxw5omeffVZff/21fv7558weUgqlS5fWwIEDbcm8o5is1q1bp6lTp6px48Yp5lmT+TutDwAAAABAemW6mX2FChXUpUsXu2kvv/yyChUqpL///ltxcXHav3+/QkJC9PTTT9sl8tb1n332WR0+fNiuuf2deHt7p0jkJaly5cpq0KCBtm3bpvj4+MweUpa0adPGYSIPAAAAAICzZbpmvk6dOnJzc7Obljt3blWvXl3//fefTp48qZ07d0qSLl686PDVbMePH7f932KxpGu/Bw4c0E8//aTg4GBdvHgxRfJ+5coVFStWLBNHlDXObN4PAAAAAMCdZDqZL1y4sMPp1r7y169f19WrVyVJa9as0Zo1a1LdVmxsbLr2uWPHDltf+iZNmqh8+fLKmzev3NzctGLFCh08eFBxcXEZOArnSe18AAAAAADgbJlO5i9duuRw+sWLFyVJ+fPnl4+PjyRpxIgR6tmzZ2Z3ZfPjjz8qLi5OM2fOVN26de3mWVsBuMrtrRQAAAAAALhbMt1nfseOHTIMw27ajRs3tG/fPuXOnVvly5dXzZo1JUkhISHpD8jdXYmJiQ7nnT59Wr6+vikS+djY2Lvyarr0xJQWDw8PScr0+gAAAAAA3C7TyfyJEyc0d+5cu2k//fSTLl++rA4dOsjb21sPPfSQatasqb///ltLlixJsY2kpCRt3brVblrBggV15coV3bx5M8Xy/v7+unr1qo4cOWKblpiYqM8++0yXL1/O7KGkqWDBgjp37lym15Wk8+fPOzMkAAAAAEAOlulm9k2bNtVHH32ktWvX6oEHHtC+ffu0fv16lSxZUm+99ZZtuXHjxun555/XoEGD9Msvv6h69erKlSuXzp49q507d+ry5cvas2ePbfmGDRtq79696t+/v+rWrStvb2/VqVNH9erVU8+ePbV+/Xr16NFDjz32mLy9vbV161adP39egYGBKR4MOEvDhg31zz//6PXXX1fVqlXl4eGh5s2bKyAgIM11H3jgARUrVkx///23cufOrRIlSsjNzU3du3dX/vz570q8AAAAAIDsLdPJfK1atdS/f3+NHz9e06dPl5eXlzp06KC3337bNgieJJUpU0YLFizQzz//rJUrV2revHlyd3dXsWLFVK9ePT366KN223311Vd17do1rV69Wps3b1ZSUpIGDBigevXqqWXLlvr22281ceJELVq0SLlz51bDhg313Xff6bvvvsv8WUjD+++/L0navHmz/v33XyUlJalIkSLpSuY9PDwUFBSkL7/8UgsXLlR0dLQkqX379iTzAAAAAIBMcTNu7/ieAw0dOlQLFizQypUrVbp0aZfEsGXLFvXu3VsDBgzQwIEDHS6zbds2eXt7y8vL6x5Hh7T4+voqMjLS1WEgAygz86HMzIlyM4+YmBjVr19f0q3fHHnz5nVxREgvrjNzotzM516VWXx8vG38uTvJdJ/57Kh169YKCAjQrFmz7tk+v/76awUEBKh37973bJ8AAAAAAHPLdDP77KRNmzby9/e3/btGjRr3bN8NGzaUp+f/iiEwMPCe7RsAAAAAYE7ZMpk/c+aMFixYkOZy+fPn1wsvvKA2bdqoTZs29yCylBo1aqRGjRq5ZN8AAAAAAHPKlsl8WFiYgoKC0lzO399fL7zwwt0PCAAAAAAAJ8qWyXyDBg106NAhV4cBAAAAAMBdwQB4AAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAy2XIAPAAAAGQf3ldPyut6mOLz+yuuYHlXhwMA9wWSeQAAgGQ8bkS6OgSX8LgZm+zvq/Jwj3NhNLe437ym4tu/Vp4Lu2zTYovV1Pl6g5SUq4ALI7u/uMUa8rhx9Z7uMzG37z3dH4CUSOYBAJnmlhCb9kLOEp/r3u4PzmHCcntgQSdXh+AS0XGG7e8Ki3oon7ebC6O5xXBzl7zzK/bxr5XkX1fuYcHK/e9IlfvnRbkZSa4O775S5B7v7+gzf9/jPWZDJrw/ZheGZx5Xh+AUJPMAgEyrNKfDPd1f0Xu6NzgL5YbMcjOSFNv2QyVaHpUkJVoe1U3DUO6/33JxZLjX9//sivujaxzpvsrVITgFA+ABAADgvpXkX9fu34ml67koEgC4v1AzDwDItHvZzLJgQV9dvRp5z/YH5zBjuVHjeH9xDwu21cxLkseZ7S6MBlY0s886M94fcX8hmQcAZNo97XPmlUeG5817tz84hwnL7XjH+a4OwSViYmOlz9tIkk48OVN587i+T2nJDR8p18pRijMMJZauJ48z2+W96mPFFqup8CYjXR3efaNAwYK6dvXeDoCXXfocu5QJ74+4v5DMAwAAJJNTR+lOTPL+39+5Cioxd14XRnPL2aYfquTGMcqbrI98TIl6Cm/8vpJyFXRhZPcXI4+vEm+6fsBCAPcWyTwAAADuS0m5Ciqs5ee8Zx4AHCCZBwAAwH0trmB5kngAuA2j2QMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMp6uDgAZk5iY6OoQ4EB8fLzi4+NdHQYygDIzH8rMnCg380hISLD7m3IzD64zc6LczOdelVl6cz6SeRPx9vZWXFwcCf196ObNm4qLi3N1GMgAysx8KDNzotzMI3k5xcXFycPDw4XRICO4zsyJcjOf+63MSOZNxN/fX0lJSa4OAw74+fnpypUrrg4DGUCZmQ9lZk6Um3lER0fb/i5Tpozy5cvnwmiQEVxn5kS5mc/9VmYk8ybi4eHBU/L7lJeXl7y8vFwdBjKAMjMfysycKDfzSF5OlJu5UF7mRLmZz/1WZgyABwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJeLo6AAAwuxMnDYWFSf7+UoXybq4OBwAAADkAyTyADLkSabg6BKcwjCRFXs3asVy9ZujLcdLOXf+bVqumoSGDpYIFSOqT8/PlfAAAADgTyTycKjY2eyR6GZUrl5Fjjv2Jp7PLcV7J8hbc3aV8+aRRH7qp5oPSrj3SF+MM9X5BSkrKLufJOf79J+vbyEnXWXbi5+fqCAAAyJ5I5uFUbR/LqT+0L7s6ALhAUpL09mA3tWpxq9a5VQvJMKSRH+XU6yB1zrk3cJ2Z0b5daS8DAAAyjgHwACALaj5o/+9aD7kmDgAAAOQs1MzDqf79J2f2i/X19VNkZNabbZtBzm194diuPbdq5K127nZZKPc1Z9wbctJ1BgAAkBaSeThVnjw5M5nPm9dNN2/mjGP/609XR+AcvgV9FXk1MkvbGDHS0FfjDRnGrRr5nbulr78xVKum9PFHOePzkF7OuDfkpOsMAAAgLSTzADIku4xK7ufnLje3rB3L6I+kj0Ybdn3k69eTRg53k282OU8AAAC4P5HMA0Am+fq66esv3XjPPAAAAO45knkAyKIK5d1UobyrowAAAEBOwmj2AAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmIxTkvn58+crICDA9t+gQYNs84YOHaqAgACdOXPGGbvKVjZu3Gh33nr16uXqkAAAAAAAJuDpzI21bt1aVatWVeXKlZ252WyrTJkyGjBggCQpKCjIxdEAAAAAAMzCqcl8mzZt1KlTJ7tpb731ll555RUVL17cmbvKFsqUKaOBAwdKIpkHAAAAAKSfU5N5R4oVK6ZixYrd7d0AAAAAAJBj3PUB8Bz1md+yZYsCAgI0YcIE7du3Ty+99JJq166tunXr6rXXXku1f31oaKg++OADtWrVSjVq1FCjRo3Uq1cvzZ8/P8WyCxYs0LPPPqvatWurdu3aevbZZ7VgwYIUyyWPZceOHerVq5dq166thg0b6sMPP9SNGzckSevWrVO3bt1Uq1YtNW7cWF988YUSExMdxrlixQo9//zzql+/vh588EE9/vjjmjJlSqrLAwAAAACQES4dzX7v3r167rnn5OHhoW7duqlGjRpasWKF+vTpo5s3b9otGxISoo4dO+qPP/7QAw88oD59+qht27a6ceOGpk+fbrfsJ598oqFDh+rcuXPq3LmzunTpovPnz2vo0KEaO3asw1h27dqlF154Qfnz51e3bt1UqlQpzZo1S8OHD9c///yjgQMHqmTJkuratavy58+vn376SZMmTUqxna+++kqvvfaaTp48qUceeUQ9evSQt7e3Pv/8c7uBAQEAAAAAyKy73sz+TtasWaOvv/5a7du3t0175513tHDhQq1YsUIdOnSQJMXFxWnQoEGKjo7WpEmT9PDDD9tt59y5c7a/t2/frl9++UUVK1bU7NmzlT9/fknS66+/rmeffVbTpk1T27ZtVa9ePbtt/Pfff/ruu+/Upk0bSVJ8fLw6d+6sxYsXa/369ZoxY4YeeughSdLAgQP1yCOPaNq0aXrllVfk6XnrNG7YsEETJ07Uww8/rG+//VZ58uSRJBmGoQ8//FC///67li1bpnbt2jnzNAIAAAAAchiX1szXr1/fLpGXpM6dO0uS9uzZY5u2cuVKhYeH68knn0yRyEtSiRIlbH9bm9wPGDDAlshLUv78+W0jxztqbh8YGGhL5CXJy8tL7dq1k2EYatmypS2RlyQfHx+1aNFCkZGRdg8Sfv31V0nSqFGjbIm8JLm5uWnIkCFyc3PT33//fadTAgAAAABAmlxaM1+tWrUU06yJ+bVr12zTdu/eLUlq0qRJmts8cOCAJKlBgwYp5gUGBtotk1Ys1oH7qlatmmJe0aJFJUnnz59X6dKlJd1qqp83b17NnTvXYWy5c+fW8ePH0zwGAAAAAADuxKXJfPKacysPDw9JUlJSkm3a9evXJSldr7eLioqSu7u7ChUqlGJekSJF5O7urqioqBTzfHx8Uo3F0Txr0/qEhATbtKtXryohIeGOr5mLiYlJ8xgAAAAAALgTlybz6WVN+s+fP5/msj4+PkpKStLly5dVuHBhu3mXLl1SUlKSw+TcGazb3bJly13ZPgAAAAAAkov7zKeXtb/6hg0b0lzW2iTeUUK9detWSVKVKlWcGN3/PPTQQ4qMjNTJkyfvyvYBAAAAAJBMksy3bt1aJUqU0KJFi/Tff/+lmJ+8xr5jx46SpO+++86uOX1UVJS+++47u2WcrVevXpKk9957T1euXEkxPyIiQseOHbsr+wYAAAAA5BymaGbv7e2t8ePH6+WXX9Yrr7yiZs2aqUqVKoqKitKBAwd048YN/fnnn5JujZDfq1cvzZgxQ48//rgeeeQRGYahf//9V+Hh4erVq5fq169/V+J8+OGH9eqrr+r777/XI488ombNmqlUqVKKjIzUqVOnFBwcrDfffFMVK1a8K/sHAAAAAOQMpkjmJal27dpasGCBJk6cqPXr12vTpk0qUKCAKlasqG7dutktO3z4cFWtWlWzZs3SH3/8IUmqVKmSBg4caHv13d3yxhtvqH79+po+fbo2bdqk69evy9fXV6VLl9aAAQP0xBNP3NX9AwAAAACyPzfDMIysbmT+/PkaNmyYxo4dq06dOjkjrhwnICBAgYGBmjFjRqrLOGq6j/uDn58f5WMylJn5UGbmRLmZR3R0tMqUKSNJCg0NVb58+VwcEdKL68ycKDfzuZdl5ufnl+YyTu0zP2zYMAUEBGjQoEHO3Gy2tXHjRgUEBCggIMDVoQAAAAAATMQpzeyrVq2qAQMG2P5duXJlZ2w22ytTpozdefP393dhNAAAAAAAs3BaMm99JRzSr0yZMho4cKCrwwAAAAAAmIwpXk0HAAAAAAD+h2QeAAAAAACTIZkHAAAAAMBkSOYBAAAAADAZknkAAAAAAEyGZB4AAAAAAJNxyqvpAAAAsju3S0flHnlaSb5lZRSu5OpwAAA5HMk8AAA5Sczle7o7wztRirl6T/fpdLGRyr1ipDzDttsmJfjX0402H0l5fF0Xl7PFxiT7+4rkdvPu7i9vobu7fQDI5kjmASC7iI9JexkTM+K8s/0x3gs+Pza5p/tLkORzT/fofIabu+SdX7GPf60k/7pyDwtW7n9HKt/0J+RmJLk6PKdxizNsf/v81Eb5vN3u6v6iBgbf1e3nJNwfJXnldXUEwD1HMg8A2YTPhLquDuGuyg5JIczJzUhSbNsPlWh5VJKUaHlUNw1Duf9+y8WRmVt2v2fdS9wfpai3Drg6BOCeYwA8AACANCT52yeeiaXruSgSAABuoWYeALKJ7N5k1dfXV5GRka4Ow/SoDc0c97BgW828JHmc2X6HpZEe2f2edS9xfwRyJpJ5AMgusnl/QTfvfJJXnKvDML2o/hvu6f58fQsqMtLcA+Dl/usN5Vr5seIMQ4ml68njzHZ5rxqthNL1dePx8a4Oz2miY2Kkzx+SJEW9vEJG3rt8T8nm96x7ifsjkDORzAMAkJPc4xHE3fL5SXEe93SfznbjyW+Ve8kQuz7yCeUa60b7L6U8fi6MzMmMXP/7O4+flDef62IBAKSJZB4AAOBO8vjpRucpvGceAHBfIZkHAABIB6NwJSWSxAMA7hOMZg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJgMyTwAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyboZhGK4OAgAAAAAApB818wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAm4+nqAID7zbZt27Rq1Srt3btX+/fvV1RUlDp27KhPP/001XWSkpI0c+ZMzZ49W6dOnVLevHnVoEEDDRo0SOXLl8/Q/vft26eJEydq7969unjxogoXLqwqVaroxRdfVP369bN4dNmTq8tMkg4ePKjJkydr69atunLlinx9fVWlShW9/PLLatiwYRaOLvu6H8rNaufOnerevbuSkpI0ePBg9e3bN9Pbys5cVWYxMTH6999/tWrVKh08eFDh4eHy9vZWlSpV1K1bNz3++ONOOsLsx9XXWUREhMaPH6+1a9fq6tWrKlWqlJ544gn17dtX3t7eWTy6nGndunWaOnWq9u7dq7i4OJUrV06dOnVS79695eHhke7tJCQk6M8//9ScOXN06tQp3bx5UyVLllSLFi3Up08fFS1a9C4eRc7irDKTbl2f8+fP17x583TkyBHFx8erRIkSqlOnjt5//335+PjcpaPIWZxZZsl9+OGHmjVrliRp/fr1Wb7OSOaB28ybN08LFixQnjx5VLJkSUVFRaW5zsiRI/XHH3+oUqVK6tmzpy5duqQlS5Zow4YN+v3331WpUqV07XvFihUaOHCgvL291aZNG5UsWVLh4eFasWKFVq1apbFjx6pTp05ZPcRsx5VlJkl//vmn3nvvPeXPn18tWrRQ8eLFdeXKFe3du1chISEk86lwdblZ3bhxQ0OHDlXu3LkVExOTmUPJMVxVZtu3b9c777wjX19fNWrUSI888oguXbqkf//9V4MHD1ZISIhGjBjhjEPMdlx5nUVEROjZZ59VeHi42rRpo/Llyys4OFgTJkzQzp07NWnSJLm700g0I6ZPn64xY8bIx8dHjzzyiPLnz69Nmzbp008/VUhIiL799tt0b2vQoEFavny5ypUrpw4dOsjb21s7d+7UlClTtGjRIi1YsICE3gmcWWZxcXF6/fXXtXr1agUEBKhjx47y9vZWeHi41q5dqzfeeINk3gmcWWbJbdq0Sb///rvy5s3rvN8bBgA7u3fvNg4fPmwkJCQYISEhhsViMd59991Ul9+0aZNhsViMHj16GDdv3rRN37hxoxEQEGA899xz6d73Y489ZgQEBBj79++3m753714jICDAaNWqVcYPKAdwZZnt2bPHqFatmtG1a1cjMjIyxfz4+PiMHUwO4spyS+6TTz4x6tSpY3z33XeGxWIxJk6cmKnt5ASuKrMDBw4YixYtMuLi4uymR0REGC1btjQsFouxa9euzB1UNufK6+ydd94xLBaL8dtvv9mmJSUlGe+++65hsViMuXPnZu6gcqhz584Z1atXN+rXr2+cOXPGNj0+Pt74v//7P8NisRiLFy9O17Z27dplWCwWo0uXLimuq9GjRxsWi8WYMGGCU+PPiZxZZoZx6/sqte+pxMREIzEx0Slx52TOLjOr69evGy1btjQGDBhg9OzZ07BYLMaFCxeyHC+PQ4HbPPjgg6pcuXK6m9DMmTNHkvTmm2/aNRls1KiRmjZtqm3btunEiRPp2lZoaKiKFSumqlWr2k2vXr26ihYtqsuXL6fzKHIWV5bZ+PHjlZiYqM8++0wFCxZMMd/TkwZQqXFluVkFBwdr+vTpevfdd1WiRIkMrZsTuarMqlSpoieeeEJeXl5204sUKaKuXbtKutWcHCm5qsyioqK0ZMkSlSlTRt27d7dNd3Nz01tvvSV3d3fbvpA+69atU3x8vLp06SJ/f3/bdE9PT73++uuSZGu+m5bQ0FBJUuPGjVNcVy1atJAkfnM4gTPL7Pz58/r1119Vr149h13B3N3daeniBM4ss+Q+++wzRUdHa+TIkU6LVWIAPCDLtmzZorx586pOnTop5jVt2lRS+n9kVq5cWRERETp48KDd9AMHDigiIkINGjTIesBwWpldu3ZNGzZsULVq1VSuXDlt3bpVP/30k6ZNm6YdO3Y4Pe6czpnXmiTFxsZq2LBhCgwM1LPPPuu0OPE/zi4zR6wPzLLShxH/46wy27lzp+Li4tS4cWO5ubnZzStWrJgsFot27dqlmzdvOifwHODixYuSpNKlS6eYZ50WEhKiuLi4NLdl7SqxadMmJSQk2M1bu3atJNFFzAmcWWbLli1TQkKCHn30UUVFRWnRokWaOHGi5s6dq/Pnzzs38BzMmWVmtX79ev3xxx8aNmyYihQp4pxA/z+qjIAsiImJUUREhCwWi8MfktaBgk6ePJmu7Q0dOlT9+vVT9+7d1aZNG5UoUULnzp3Tv//+q3r16mnUqFFOjD5ncmaZ7du3T0lJSSpRooT69++v1atX281v0qSJvvnmG+XPn98Zoedozr7WJGncuHGKiIjQlClTnBQlkrsbZXa7xMRE/fnnn3Jzc1Pjxo0zvR3c4swyO3XqlN06tytXrpwOHjyo0NDQTI11kRMVKlRIknTmzJkU86zTEhISFBoaqooVK95xWwEBAerZs6d+/fVXdejQQc2aNZOXl5f27NmjXbt26dVXX9Ujjzzi/IPIYZxZZnv37pUkXb9+XY8++qgiIiJs87y8vDRkyBC98MILToo853JmmUm3WikNHz5czZs319NPP+3UWCVq5oEsuX79uiSlOtiIdXp6BhySpMDAQP32228qUqSIFi1apEmTJmnRokXy9fVVp06dVKxYMecEnoM5s8ysTRDXrFmjPXv26LvvvlNwcLCWLFmiVq1aacOGDQzK5STOvta2bt2qX3/9VYMGDVKZMmWcEyTsOLvMHPnmm290+PBhderUSRaLJdPbwS3OLDPrtlJ7mGndlnU5pK1x48by8PDQvHnzFB4ebpuekJCgoKAg27+vXbuWru2NGDFCQ4cOVVhYmGbMmKGpU6dq27ZtatSokdq1a+f0+HMiZ5bZpUuXJElBQUGqUqWK/v77bwUHB2vixIny8/PT2LFjba0qkHnOvs7GjBmj69ev37UKOWrmkS01aNBAkZGR6V5++vTp90UT9rVr1+qtt95SixYt9OOPP8rf319hYWGaOHGihg0bpkOHDmnYsGGuDvOuMGOZJSUlSbpVO/jRRx+pTZs2km79SP3mm2/Url07LV26VOHh4SpZsqQrQ71rzFhuMTExeu+991SrVi317NnTpbG4ghnLzJHZs2dr4sSJqlatmt5//31Xh3NXZZcywy2ZLc8yZcqoX79++v777/XEE0+obdu2tlG2w8PDVapUKZ09ezZdXU4Mw9DIkSP1119/6f3331ebNm2UJ08ehYSEaPTo0erWrZt+/vln1a5dOwtHmn3cL2Um3ao5njBhgvLkySPp1hgHY8aM0SuvvKKff/5ZzZs3z9QxZjf3Q5mtXbtW8+fP10cffXTXxuUhmUe29Pjjjys6Ojrdy2e2/4q1xiG1Wgrr9PS8JiQyMlJDhgxRuXLl9MUXX9gGMalYsaI+++wznTp1StOnT9dzzz2nsmXLZire+5kZy8y6LQ8PjxRfnt7e3mrSpInmzJmjffv2Zdtk3ozl9vXXX+vChQs59rVYZiyz282bN08jR46UxWLR1KlTlS9fvkzFaBZmLDPrtlKrebduKyd2Q8pKeb7xxhsqX768fv31Vy1ZskTu7u6qV6+evvrqK7311luSJD8/vzS3OW/ePM2ePVvvv/++3QCFzZo10/fff6/27dtr3Lhx+vXXXzNwZNnX/VBm1uuucePGtkTeqmnTpvL29rY1xYfryyw2NlYjRoxQgwYNbAO13g0k88iW7lXT5rx586po0aI6c+aMEhMTUzyls/YrTK3PYHI7duzQtWvXFBgYmCLBcHNzU4MGDbRz507t378/WybzZiyzChUqSJJy586dYjRg6X8/Um/cuJG1oO9jZiy3gwcP6ubNm3rssccczh83bpzGjRun3r17Z8saXzOWWXJz587ViBEjVKlSJf3yyy/p+hFsdmYss3Llytmtc7tTp07J3d09R3ZzyWp5PvXUU3rqqafspsXFxenkyZPy9fVN1zm1Nsd21IKjYsWKKlq0qPbt25elOLOT+6HMrL85ChQokGKeu7u78uXLl6VuS9mNq8vs0qVLOn/+vM6fP68qVao4XMY6qOiff/6Z4k1W6UUyD2RRYGCg/v77b+3YsUP169e3m7d+/XpJSjHdkfj4eEmpvwrGOj35q4KQOc4qs7Jly9qaW507dy5FE6pjx45Jkt2rTZB5ziq35s2bO3wgdurUKW3btk0PPvigAgICaF7qBM4qM6u5c+dq+PDhqlixon755RfbQEVwHmeVWa1ateTt7a2NGzfKMAy7Ee0vXLigw4cPq2bNmsqVK5dzDyCHWrp0qeLi4tSlS5d0LX+n3xyJiYm6du1aitpfOFdGy6xhw4b68ccfdfTo0RTzLl++rCtXrmT44SgyJiNlli9fvlSXW7t2rSIiIvT4448rd+7c8vX1zXRMOa99IeBk1ldajR8/3u41FZs2bdL69etVv35929NUq9OnT+vYsWO2L1Pp1g8fDw8PLVu2LMWr6Y4cOaK///5b3t7eqlWr1t07mBzCWWXm5uambt26SZK++uorWx966dYAa+vWrZO/v78efPDBu3k4OYazyu3ll1/WmDFjUvzXqVMnSdIjjzyiMWPGqH379vfgqLI3Z5WZdOv958OHD9cDDzygX375RYULF777B5ADOavMfHx81L59e4WGhtq9k9kwDNv98plnnrnLR5P9OKp5PXbsmD777DP5+PikeP94bGysjh07prNnz9pNt756cOLEiSlesfXDDz/o5s2bjLvgJM4qs8DAQFWsWFGbNm3Shg0bbNOt15SkVFucIWOcUWZ+fn4Of2uMGTPGdg8dOnSoxowZk6WumG6GdTQFAJKk7du3a+7cuZJuPelcu3atypYtq7p160qSHnjggRQX8fDhwzVnzhxVqlRJzZs316VLl7RkyRLlypVLv//+e4rX7rRq1UphYWFauXKl3Xssx48frx9++EFeXl5q06aN/P39FR4ern///VdxcXF655139NJLL93lM2A+riyzuLg49e7dWyEhIapevbrq16+viIgILV++XO7u7po0aRLv6k2FK8vNkfnz52vYsGEaPHhwiv3iFleV2aZNm9SnTx8ZhqGuXbuqaNGiKWKrWrWqbRBK/I8rr7MLFy7o2Wef1blz59S2bVuVL19e27dv144dO9S0aVNNnjw5R45bkRXDhw/X/v37VaNGDfn6+urkyZNavXq13N3d9d1339ma7Vpt2bJFvXv3VmBgoGbMmGGbHhUVpa5du+ro0aPy9/dXs2bNlDt3bu3cuVM7d+6Ur6+vfv/99xQPbpBxziozSdq1a5eef/55xcfHq02bNipZsqSCg4O1e/duVa9eXb/++qvy5s17Lw8vW3JmmTnSq1cvbd26VevXr3f4fZYRNLMHbnP69GktWLAgxbTTp09LuvVk9PYfPqNGjVJAQIBmz56tGTNmKG/evGrZsqUGDRqUoS/CN99807adjRs3KioqSvnz51dgYKB69uypli1bZv0AsyFXlpm3t7d+/vlnTZo0SX///bd+++035cuXTy1atNCAAQNS7ScF15YbMsdVZRYeHm4byXn27NkOl+nYsSPJvAOuvM6KFSumP/74Q+PHj9fatWu1evVqlSpVSgMHDlTfvn1J5DOhSZMmOn78uJYtW6bo6GgVKVJETzzxhPr375+h8XR8fHw0e/ZsTZ48WStXrtSCBQuUlJSkYsWKqWvXrurXrx9dxJzEWWUmSTVr1tScOXM0YcIEbd68WdHR0SpZsqT69eunfv36kcg7iTPL7G6jZh4AAAAAAJPhkSgAAAAAACZDMg8AAAAAgMmQzAMAAAAAYDIk8wAAAAAAmAzJPAAAAAAAJkMyDwAAAACAyZDMAwAAAABgMiTzAAAAAACYDMk8AAAAAAAmQzIPAAAAAIDJkMwDAAAAAGAyJPMAAAAAAJjM/wOrkFcMIdBOrAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4495,8 +2339,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
+   "execution_count": 21,
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
    "outputs": [
     {
      "data": {
@@ -4532,74 +2380,74 @@
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
        "      <td>-0.260</td>\n",
-       "      <td>0.050</td>\n",
-       "      <td>-0.350</td>\n",
-       "      <td>-0.165</td>\n",
+       "      <td>0.051</td>\n",
+       "      <td>-0.356</td>\n",
+       "      <td>-0.168</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.936</td>\n",
-       "      <td>0.274</td>\n",
-       "      <td>-10.455</td>\n",
-       "      <td>-9.423</td>\n",
+       "      <td>-9.932</td>\n",
+       "      <td>0.271</td>\n",
+       "      <td>-10.450</td>\n",
+       "      <td>-9.425</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.095</td>\n",
+       "      <td>-10.100</td>\n",
        "      <td>0.220</td>\n",
-       "      <td>-10.480</td>\n",
-       "      <td>-9.650</td>\n",
+       "      <td>-10.504</td>\n",
+       "      <td>-9.682</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-16.231</td>\n",
-       "      <td>0.624</td>\n",
-       "      <td>-17.370</td>\n",
-       "      <td>-15.034</td>\n",
+       "      <td>-16.212</td>\n",
+       "      <td>0.631</td>\n",
+       "      <td>-17.476</td>\n",
+       "      <td>-15.101</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.600</td>\n",
-       "      <td>0.389</td>\n",
-       "      <td>45.884</td>\n",
-       "      <td>47.340</td>\n",
+       "      <td>46.591</td>\n",
+       "      <td>0.383</td>\n",
+       "      <td>45.840</td>\n",
+       "      <td>47.274</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.073</td>\n",
-       "      <td>0.325</td>\n",
-       "      <td>-10.741</td>\n",
-       "      <td>-9.512</td>\n",
+       "      <td>-10.080</td>\n",
+       "      <td>0.321</td>\n",
+       "      <td>-10.651</td>\n",
+       "      <td>-9.466</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.628</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>-11.001</td>\n",
-       "      <td>-10.261</td>\n",
+       "      <td>-10.562</td>\n",
+       "      <td>0.190</td>\n",
+       "      <td>-10.914</td>\n",
+       "      <td>-10.200</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>41.757</td>\n",
-       "      <td>0.426</td>\n",
-       "      <td>40.960</td>\n",
-       "      <td>42.558</td>\n",
+       "      <td>42.529</td>\n",
+       "      <td>0.429</td>\n",
+       "      <td>41.707</td>\n",
+       "      <td>43.327</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-5.826</td>\n",
-       "      <td>0.943</td>\n",
-       "      <td>-7.590</td>\n",
-       "      <td>-4.015</td>\n",
+       "      <td>-8.022</td>\n",
+       "      <td>0.975</td>\n",
+       "      <td>-9.896</td>\n",
+       "      <td>-6.240</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4608,508 +2456,56 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt      -0.260  0.050  -0.350   -0.165    1.0\n",
-       "              beta_[trt]     -9.936  0.274 -10.455   -9.423    1.0\n",
-       "              beta_[income] -10.095  0.220 -10.480   -9.650    1.0\n",
-       "              beta_ps       -16.231  0.624 -17.370  -15.034    1.0\n",
-       "              alpha_outcome  46.600  0.389  45.884   47.340    1.0\n",
-       "2-stage-model beta_[trt]    -10.073  0.325 -10.741   -9.512    1.0\n",
-       "              beta_[income] -10.628  0.200 -11.001  -10.261    1.0\n",
-       "              alpha_outcome  41.757  0.426  40.960   42.558    1.0\n",
-       "              beta_ps        -5.826  0.943  -7.590   -4.015    1.0"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "compare_estimate = pd.concat(\n",
-    "    {\n",
-    "        \"1-stage-model\": az.summary(\n",
-    "            idata_net,\n",
-    "            var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"],\n",
-    "        ),\n",
-    "        \"2-stage-model\": az.summary(\n",
-    "            idata_outcome_2s_net, var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"]\n",
-    "        ),\n",
-    "    }\n",
-    ")\n",
-    "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This kind of difference need not be very concerning but we should check if the bias stems from a difference in latent propensity scores as before. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
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-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3a09b628-4cb0-4cbb-971d-bbbb53d1ab31' class='xr-array-in' type='checkbox' checked><label for='section-3a09b628-4cb0-4cbb-971d-bbbb53d1ab31' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.181 0.249 0.31 0.37 0.43 0.501 0.572 0.643 0.727</span></div><div class='xr-array-data'><pre>array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])</pre></div></div></li><li class='xr-section-item'><input id='section-8efc24d9-1c87-4c3e-8515-446f963a5311' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8efc24d9-1c87-4c3e-8515-446f963a5311' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-a16ee7ad-dd1a-41a5-85c4-acb90f7e9743' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a16ee7ad-dd1a-41a5-85c4-acb90f7e9743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38788e39-89df-4e75-979e-48f118fd4b1c' class='xr-var-data-in' type='checkbox'><label for='data-38788e39-89df-4e75-979e-48f118fd4b1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abb511cb-1afa-410a-bc87-87ad77789dee' class='xr-section-summary-in' type='checkbox'  ><label for='section-abb511cb-1afa-410a-bc87-87ad77789dee' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c6d0d3cd-591d-4f8e-8d64-878dab99522b' class='xr-index-data-in' type='checkbox'/><label for='index-c6d0d3cd-591d-4f8e-8d64-878dab99522b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c5455f4-9a93-4110-832d-ec8ff9fd47d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c5455f4-9a93-4110-832d-ec8ff9fd47d1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
+       "1-stage-model alpha_trt      -0.260  0.051  -0.356   -0.168    1.0\n",
+       "              beta_[trt]     -9.932  0.271 -10.450   -9.425    1.0\n",
+       "              beta_[income] -10.100  0.220 -10.504   -9.682    1.0\n",
+       "              beta_ps       -16.212  0.631 -17.476  -15.101    1.0\n",
+       "              alpha_outcome  46.591  0.383  45.840   47.274    1.0\n",
+       "2-stage-model beta_[trt]    -10.080  0.321 -10.651   -9.466    1.0\n",
+       "              beta_[income] -10.562  0.190 -10.914  -10.200    1.0\n",
+       "              alpha_outcome  42.529  0.429  41.707   43.327    1.0\n",
+       "              beta_ps        -8.022  0.975  -9.896   -6.240    1.0"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "compare_estimate = pd.concat(\n",
+    "    {\n",
+    "        \"1-stage-model\": az.summary(\n",
+    "            idata_net,\n",
+    "            var_names=[\"alpha_trt\", \"beta_\", \"beta_ps\", \"alpha_outcome\"],\n",
+    "        ),\n",
+    "        \"2-stage-model\": az.summary(\n",
+    "            idata_outcome_2s_net, var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"]\n",
+    "        ),\n",
+    "    }\n",
+    ")\n",
+    "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This kind of difference need not be very concerning but we should check if the bias stems from a difference in latent propensity scores as before. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
       "text/plain": [
-       "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.572, 0.643, 0.727])\n",
-       "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.5  , 0.571, 0.643, 0.727])"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5117,7 +2513,7 @@
    "source": [
     "idata_net[\"posterior\"][\"p\"].quantile(\n",
     "    [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n",
-    ").round(3)"
+    ").round(3).values"
    ]
   },
   {
@@ -5129,468 +2525,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
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-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  display: none;\n",
-       "  border-top: 2px dotted var(--xr-background-color);\n",
-       "  padding-bottom: 20px !important;\n",
-       "  padding-top: 10px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in + label,\n",
-       ".xr-var-data-in + label,\n",
-       ".xr-index-data-in + label {\n",
-       "  padding: 0 1px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data,\n",
-       ".xr-index-data-in:checked ~ .xr-index-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > pre,\n",
-       ".xr-index-data > pre,\n",
-       ".xr-var-data > table > tbody > tr {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-index-name div,\n",
-       ".xr-index-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data,\n",
-       ".xr-index-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2,\n",
-       ".xr-no-icon {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
-       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
-       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
-       "  color: var(--xr-font-color0);\n",
-       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
-       "  stroke-width: 0.8px;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;p&#x27; (quantile: 9)&gt; Size: 72B\n",
-       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
-       "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'p'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>quantile</span>: 9</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c273b64b-1187-4bcf-81a1-f702d4710ed5' class='xr-array-in' type='checkbox' checked><label for='section-c273b64b-1187-4bcf-81a1-f702d4710ed5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.239 0.283 0.317 0.349 0.379 0.412 0.449 0.492 0.556</span></div><div class='xr-array-data'><pre>array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])</pre></div></div></li><li class='xr-section-item'><input id='section-c8a92dcb-154a-4f69-9bd2-9a6aa468b9bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8a92dcb-154a-4f69-9bd2-9a6aa468b9bc' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>quantile</span></div><div class='xr-var-dims'>(quantile)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9</div><input id='attrs-a2a7183a-77f5-4335-b9c8-b8fab061281a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2a7183a-77f5-4335-b9c8-b8fab061281a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7d20d39-c737-4972-b0b7-19ed17780eff' class='xr-var-data-in' type='checkbox'><label for='data-e7d20d39-c737-4972-b0b7-19ed17780eff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fb4c7d11-2e1b-41bc-b04c-06e15e780eb9' class='xr-section-summary-in' type='checkbox'  ><label for='section-fb4c7d11-2e1b-41bc-b04c-06e15e780eb9' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>quantile</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-29ba6e49-8237-4f0e-be5f-d1bcab58ccf1' class='xr-index-data-in' type='checkbox'/><label for='index-29ba6e49-8237-4f0e-be5f-d1bcab58ccf1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], dtype=&#x27;float64&#x27;, name=&#x27;quantile&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-724b9ced-5d32-498a-bb59-de65bedf21c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-724b9ced-5d32-498a-bb59-de65bedf21c7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
-      ],
       "text/plain": [
-       "<xarray.DataArray 'p' (quantile: 9)> Size: 72B\n",
-       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])\n",
-       "Coordinates:\n",
-       "  * quantile  (quantile) float64 72B 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9"
+       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5598,17 +2542,17 @@
    "source": [
     "idata_treatment_2s_net[\"posterior\"][\"p\"].quantile(\n",
     "    [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n",
-    ").round(3)"
+    ").round(3).values"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -5618,14 +2562,14 @@
     }
    ],
    "source": [
-    "compare_prop_dists(idata_treatment_2s_net, idata_net)"
+    "compare_propensity_dists(idata_treatment_2s_net, idata_net)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Here we some divergence between the treatment effect estimates indicating that the regression adjustment approach in the 2 stage outcome model is correcting for bias in the joint-distribution. However both credible intervals contain the reported treatment effect of -10 so the skew is perhaps less concerning. This is despite the fact that we removed useful predictors `temperature`, `health` from the outcome model specification. The model leans on the information contained in the propensity score and weights the `beta_ps` information appropriately. "
+    "Here we see some divergence between the propensity score estimates indicating that the regression adjustment approach in the 2 stage outcome model is correcting for bias in the joint-distribution. However both credible intervals contain the reported treatment effect of -10 so the skew is perhaps less concerning. This is despite the fact that we removed useful predictors `temperature`, `health` from the outcome model specification. The model leans on the information contained in the propensity score and weights the `beta_ps` information appropriately. "
    ]
   },
   {
@@ -5639,7 +2583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -5773,7 +2717,7 @@
        "4    289.7899   False  False  "
       ]
      },
-     "execution_count": 23,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5787,7 +2731,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -5799,7 +2743,7 @@
        "Name: re78, dtype: float64"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5817,7 +2761,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "metadata": {
     "tags": [
      "hide-output"
@@ -5838,7 +2782,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1b2e724185864c478e93d4ef2d866f19",
+       "model_id": "d138e2459d2a49e5b823777a9af1a588",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5875,7 +2819,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0af7ee29e9ce435dbccf577c9049d8e4",
+       "model_id": "bdea9d0a8050457ebcfdfc982c104744",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5900,7 +2844,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -5910,7 +2854,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c515e69b43ec4c8db0f5376c246f7283",
+       "model_id": "dd7aa1291fbe4ba28dc85f864d667971",
        "version_major": 2,
        "version_minor": 0
       },
@@ -5943,7 +2887,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n"
      ]
     }
    ],
@@ -5976,7 +2920,7 @@
     "    \"sigma\": 500,\n",
     "}\n",
     "\n",
-    "lalonde_model = make_model(\n",
+    "lalonde_model = make_joint_model(\n",
     "    X_trt, X_outcome, T_data, Y_data, coords, priors, noncentred=False\n",
     ")\n",
     "\n",
@@ -5995,12 +2939,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6017,14 +2961,19 @@
     "    combined=True,\n",
     "    figsize=(10, 4),\n",
     ")\n",
-    "\n",
+    "# Experimental benchmark between 1600 - 1800\n",
+    "ax[0].axvline(1700, color=\"black\")\n",
     "ax[0].set_title(\"Comparing Joint and 2 Stage Propensity Score Parameter Fits\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
+   "execution_count": 29,
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
    "outputs": [
     {
      "data": {
@@ -6059,107 +3008,107 @@
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.360</td>\n",
-       "      <td>0.139</td>\n",
-       "      <td>-1.620</td>\n",
-       "      <td>-1.100</td>\n",
+       "      <td>-1.358</td>\n",
+       "      <td>0.138</td>\n",
+       "      <td>-1.627</td>\n",
+       "      <td>-1.114</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1595.535</td>\n",
-       "      <td>583.930</td>\n",
-       "      <td>463.032</td>\n",
-       "      <td>2661.855</td>\n",
+       "      <td>1582.081</td>\n",
+       "      <td>567.320</td>\n",
+       "      <td>518.548</td>\n",
+       "      <td>2688.184</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-453.781</td>\n",
-       "      <td>482.845</td>\n",
-       "      <td>-1415.203</td>\n",
-       "      <td>400.584</td>\n",
+       "      <td>-451.909</td>\n",
+       "      <td>499.000</td>\n",
+       "      <td>-1356.356</td>\n",
+       "      <td>510.723</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3922.327</td>\n",
-       "      <td>521.209</td>\n",
-       "      <td>2838.457</td>\n",
-       "      <td>4789.670</td>\n",
+       "      <td>3920.030</td>\n",
+       "      <td>512.637</td>\n",
+       "      <td>2985.495</td>\n",
+       "      <td>4918.228</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.009</td>\n",
-       "      <td>0.983</td>\n",
-       "      <td>-1.847</td>\n",
-       "      <td>1.815</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.955</td>\n",
+       "      <td>-1.877</td>\n",
+       "      <td>1.707</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4319.238</td>\n",
-       "      <td>361.844</td>\n",
-       "      <td>3628.059</td>\n",
-       "      <td>4969.106</td>\n",
+       "      <td>4325.476</td>\n",
+       "      <td>373.622</td>\n",
+       "      <td>3615.841</td>\n",
+       "      <td>5010.584</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6567.958</td>\n",
-       "      <td>151.537</td>\n",
-       "      <td>6290.244</td>\n",
-       "      <td>6847.219</td>\n",
+       "      <td>6569.928</td>\n",
+       "      <td>153.274</td>\n",
+       "      <td>6291.063</td>\n",
+       "      <td>6857.492</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1588.611</td>\n",
-       "      <td>571.263</td>\n",
-       "      <td>487.945</td>\n",
-       "      <td>2614.938</td>\n",
+       "      <td>1580.775</td>\n",
+       "      <td>564.863</td>\n",
+       "      <td>502.679</td>\n",
+       "      <td>2596.270</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-458.390</td>\n",
-       "      <td>490.707</td>\n",
-       "      <td>-1384.176</td>\n",
-       "      <td>446.832</td>\n",
+       "      <td>-453.450</td>\n",
+       "      <td>491.114</td>\n",
+       "      <td>-1398.441</td>\n",
+       "      <td>441.350</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3938.348</td>\n",
-       "      <td>511.238</td>\n",
-       "      <td>2947.257</td>\n",
-       "      <td>4882.593</td>\n",
+       "      <td>3933.979</td>\n",
+       "      <td>515.112</td>\n",
+       "      <td>2959.902</td>\n",
+       "      <td>4897.771</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.007</td>\n",
-       "      <td>0.998</td>\n",
-       "      <td>-1.834</td>\n",
-       "      <td>1.892</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>1.008</td>\n",
+       "      <td>-1.780</td>\n",
+       "      <td>1.942</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4316.715</td>\n",
-       "      <td>374.264</td>\n",
-       "      <td>3639.104</td>\n",
-       "      <td>5036.241</td>\n",
+       "      <td>4319.556</td>\n",
+       "      <td>362.944</td>\n",
+       "      <td>3667.437</td>\n",
+       "      <td>5035.871</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6568.283</td>\n",
-       "      <td>150.280</td>\n",
-       "      <td>6295.813</td>\n",
-       "      <td>6849.206</td>\n",
+       "      <td>6568.033</td>\n",
+       "      <td>149.463</td>\n",
+       "      <td>6288.573</td>\n",
+       "      <td>6852.935</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6168,22 +3117,22 @@
       ],
       "text/plain": [
        "                                   mean       sd    hdi_3%   hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt          -1.360    0.139    -1.620    -1.100    1.0\n",
-       "              beta_[treat]     1595.535  583.930   463.032  2661.855    1.0\n",
-       "              beta_[nodegree]  -453.781  482.845 -1415.203   400.584    1.0\n",
-       "              beta_[married]   3922.327  521.209  2838.457  4789.670    1.0\n",
-       "              beta_ps             0.009    0.983    -1.847     1.815    1.0\n",
-       "              alpha_outcome    4319.238  361.844  3628.059  4969.106    1.0\n",
-       "              sigma            6567.958  151.537  6290.244  6847.219    1.0\n",
-       "2-stage-model beta_[treat]     1588.611  571.263   487.945  2614.938    1.0\n",
-       "              beta_[nodegree]  -458.390  490.707 -1384.176   446.832    1.0\n",
-       "              beta_[married]   3938.348  511.238  2947.257  4882.593    1.0\n",
-       "              beta_ps            -0.007    0.998    -1.834     1.892    1.0\n",
-       "              alpha_outcome    4316.715  374.264  3639.104  5036.241    1.0\n",
-       "              sigma            6568.283  150.280  6295.813  6849.206    1.0"
+       "1-stage-model alpha_trt          -1.358    0.138    -1.627    -1.114    1.0\n",
+       "              beta_[treat]     1582.081  567.320   518.548  2688.184    1.0\n",
+       "              beta_[nodegree]  -451.909  499.000 -1356.356   510.723    1.0\n",
+       "              beta_[married]   3920.030  512.637  2985.495  4918.228    1.0\n",
+       "              beta_ps             0.005    0.955    -1.877     1.707    1.0\n",
+       "              alpha_outcome    4325.476  373.622  3615.841  5010.584    1.0\n",
+       "              sigma            6569.928  153.274  6291.063  6857.492    1.0\n",
+       "2-stage-model beta_[treat]     1580.775  564.863   502.679  2596.270    1.0\n",
+       "              beta_[nodegree]  -453.450  491.114 -1398.441   441.350    1.0\n",
+       "              beta_[married]   3933.979  515.112  2959.902  4897.771    1.0\n",
+       "              beta_ps             0.002    1.008    -1.780     1.942    1.0\n",
+       "              alpha_outcome    4319.556  362.944  3667.437  5035.871    1.0\n",
+       "              sigma            6568.033  149.463  6288.573  6852.935    1.0"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6213,12 +3162,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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SgKvYHlRkamqKYcOGAZAHoeoMHTpUZZ7Y2Zqm5U2bNgUAjW3CjYyM1K7XuHFjeHh4QBAEnDt3TmX5w4cPsXLlSkydOhVjx47FyJEjMXLkSISGhgKQV29Xp127dkUaek5dXl1cXGBiYoJ3794hPj5emn/hwgUAQK9evdQOa6X4UqAwgoODpeMeMmQIvLy8pCrTYr8GuQ0aNEjttsRz7O3trfblxrhx4wAA4eHhSElJUVneqlUrtdXKP/roI5iYmCA6OhqPHj2S5h8/flzanzodO3aEkZERwsPD1ba5/+ijj1Sq7RsZGUntshVfAIkB7pkzZ5Camqp2f8Wlbt26aNOmDeLj41X6GTh48CCysrLQrVs3lYCsuJiZmQF4/12RF7HH+2vXriEmJqbY86LY1KGgevXqBVtbW5X5o0aNAgBcuXJF7X1YWorj+1TdvW9jYyMNLah4D4vX6sSJE3n2QUFEVB6wzTwRkRrm5uYAUKiARCyFMzY2VinVFjVs2BAAlDq0U+To6KgyT7HkTN1ya2trAJqDi1q1aimVAitq0KABwsLCVPKzfv16rFixAjk5OWrXA6BUqqWofv36GtfRhrpjBOTnITY2FikpKdIxi/nWNDRg7dq1YWFhgaSkpELl5fXr13j9+jUAeY0DKysreHh4YPjw4RrHzM7dpl8k5lW8B3JzcnKCkZERMjMz8fTpU5USW03n1czMDPb29oiMjERkZCQaNGiA5ORkREdHAwC+/fbbPI8xPT0dCQkJqFGjhtJ8TddBbLutGOj16NEDtWvXxrlz59CxY0d07NhR6sCxuNutA/IXDSEhIfjjjz+UrsMff/wBoOgvcfIiPmeanilFdnZ26NOnD/7880/06tULnp6eaNu2LTw8PNCyZUup9kZhWFtbF2kkDU33U926dWFsbIyMjAy192FpKanvU0B+Dz9+/FjpHh4yZAj8/PykjhY7duwIDw8PeHl5adw/EVFZYTBPRKSGWKJcmJ7PxR/5NjY20NPTU5tGDJg0Bd7qqskqbktdjQFN+xKp6zgr9zLF/ISGhuKnn36CgYEBZs2ahW7dusHBwQGmpqbQ09PD8uXLsW7dOo2lV2LJZWFpWl8sJVasSi6+dBFfwqhjbm5e6GB+8ODBSuPMa0NTrQ4xcNB0PfT09GBjY4MXL16ovT/yu46RkZHSeorHe+XKlXzznJaWpjJP03Gouw5mZmb4/fff8fPPP+PYsWM4cuSI1Ot9w4YNMXv2bHTt2jXffGird+/eWLBgAYKCghAfHw9ra2vcvXsXd+7cga2tLTp27Fhs+8pN7EFd20B66dKlaNiwIfbs2YNz585JNTRsbGzg6+ur1KymIIr6nOV3Hz5//lyr2gclpTi+TwtyD9vZ2WHXrl34+eefERQUhP3792P//v0AgJYtW+Lrr79Gq1atCncwRETFjME8EZEarVq1gr+/v1T1uCAlZ2JA+ebNGwiCoPYH6KtXr5TSloa82vaKyxTzc+jQIQCAj48PJk2apLKOOJRWeSD+WM+rOnBZBiSKxOBLLOnPTRAEtddDlNd1FLcprqcY6N28eTPPXuSLS61atbBo0SIsWLAAt27dwqVLl3Ds2DHcvHkTU6ZMwY4dO+Dm5lYs+zI1NUXfvn2xe/duBAYGYsyYMVKp/Icffii1kS4JYWFhAIAWLVpold7ExATTpk3DtGnT8PDhQ1y+fBmnT5/GmTNnsHTpUgDyZ620abqfNN2H4veZoGEkh+Kukl8W36cNGjTAypUrkZGRgfDwcISGhiIwMBBXr17FhAkTcOjQoUL3p0JEVJzYZp6ISI3OnTvDzMwMr1+/xrFjxwq0rqOjI/T19ZGRkaHSoZzowYMHAORVqktLbGysxoBWHLpNMT9i9WxNpVCa2sqXBTHfip2xKYqJiSl0qXxxE/Mq3gO5RUZGIjMzEwYGBmqrB2saZi81NVUqLRb3YWlpiZo1a+a5v5JiaGgINzc3TJo0Cfv27UO/fv2QnZ2Nffv2Fet+PvroIwBAQEAAsrKypJdQJVnF/tatW7hx4wYAoEuXLgVev0GDBhg+fDjWrVuH77//HoB8nPiyoOl+ioqKQkZGBvT19ZXuQ/HFmaaXAJqGxcuv5pAmZfl9amxsDE9PT0ydOhWHDx+Gu7s7UlJSEBgYWKz7ISIqLAbzRERqVK1aVeps6T//+U++1e3DwsKkaszm5uZSALx9+3aVtGlpadizZw8AeS/LpSUzMxN79+5VmX///n1cvnwZenp6aN++vTRf7JxNXQnyuXPnylUwL+b7+PHjaoP2gICA0s6SRuI137NnD9LT01WWi/eMu7u72irU4eHhUi/6ivbt24f09HTUrl1bqR10r169AABbt24tlvwXllga//LlS63Si01N1FX9V9SyZUs0bNgQt27dwubNm/Hq1asSGVtelJCQgK+//hoA8MEHH2hdMq+JOEZ97vOi7fEX1fHjx6WSbUW///47ANX7UGw3Lr7MUPT8+XO1nWgC779PCno85eX71MDAQBrHXtt7mIiopDGYJyLSYOrUqWjVqhVevXqFESNG4I8//lAJvh4/foz58+dj3LhxSiVVEydOBADs2LFDKikE5G2Yv/zyS7x58wa1a9cusWGz1DE0NMSqVasQEhIizXv+/Dm++uorAPKgT7EEThxCa8OGDUolYtevX8c333xToGHmSlq7du3g4uKC+Ph4zJ49G2/fvpWWnThxAhs2bCiVKuba6N+/PxwcHPDq1St8/fXXSrUlDhw4gF27dgF4fw/lZmhoiK+//lqqOQEAly9fxsqVKwEAEyZMUCoFnThxIqpVq4b9+/dj0aJFSucGkAene/fuxZo1a4p8bFu2bMGWLVtUgsOYmBjpRZI46kJ+xKBRHDUhL2Ip/M8//6z0d3FKSkrC/v37MWTIENy/fx+2trZa96Pw999/Y8mSJSq1I5KTk6Wh33KPUFCQ4y+KnJwczJ49W+n766+//pIC59xV/zt16gQAOHnypNIoAi9fvsTs2bORnZ2tdj+KLwEK2rFoaX6fLl++HHv27FF5Tu7fv4+jR48C0P4eJiIqaWwzT0SkgbGxMfz8/DBnzhwcO3YMX331Fb7//ns4OjrCxMQEL1++lMajr1WrllIg3LVrV0yaNAkbNmzA7NmzsWzZMlSvXh2PHj1CSkoKrKyssGLFigKNB11UrVq1grm5OcaOHQsnJyeYmZnh/v37yMrKQt26dVV6Ox8+fDh27NiBp0+f4h//+AecnZ2RmZmJx48fo2HDhujbty9+/fXXUst/XvT19bF06VKMHTsWp0+fRqdOndCgQQPEx8cjOjoaY8eOxalTpxAdHV2i7ai1YWpqihUrVsDHxwdHjhxBUFAQ6tevj9evX0vV5CdPnozOnTurXX/48OE4deoUevXqhUaNGiEtLQ2PHz8GIL/vxCHFRLVq1cKaNWswZcoUbNmyBf7+/nB2doapqSnevHmDqKgoCIKAvn37FvnYoqOjsW3bNixatAi1a9dG9erVkZSUhCdPniA7OxsymQyffPKJVtvq27cv/P39sXHjRvz111+wtbWFnp4eJk6cKAWUokGDBmH58uXIzMwslrHl9+3bJw13mJWVhcTERDx79kwa1cHT0xNLliyRhuLLT3JyMjZv3ozNmzfDxsYGDg4OyMrKwpMnT5CamgpLS0vMmTOn0MdfFD4+Pvj999/RpUsXNGzYEAkJCdKLolGjRqFbt25K6Rs0aIChQ4di7969mDRpEurUqQNLS0tERETA0dERI0eOxLZt21T206xZMzg5OSEyMhJdunSBs7MzjIyM0LhxY8ydOzfPPJbm92lERATWrVuH7777DnXr1oWVlRUSExPx5MkTAPJrX5ShAImIihODeSKiPJibm2PlypW4fPky9u/fj8uXLyMqKgqZmZmwtrZGly5d0LNnT/Tv31/lh+SsWbPg7u6O7du34+bNm3j16hVq1qyJAQMG4J///Kc0nnFp0dPTw+rVq7F+/XocPHgQDx48gLW1NXr06IHp06er9MptYWGB33//HcuWLcOZM2fw+PFj2NnZ4ZNPPsHUqVPLTSAvaty4Mfbt24cVK1bg/PnziIiIQL169fDdd99h9OjROHz4MIDS7XRQEzc3Nxw4cADr16/HuXPncO/ePZiZmaFDhw4YN26cxkAekA9FtmfPHixfvhzBwcFISEiAs7MzPvroI409ont4eODIkSPYunUrgoKCpOG+7Ozs0LFjR3Tt2lWqjl8UI0aMgJWVFS5evIinT5/izp07sLKyQvPmzfHhhx9i6NChWgdcrVu3xrJly7B161Y8ePBAGnZs8ODBKmmrV6+Ojh074tSpU8UytnxsbKz0YsXU1BQWFhZwd3dHixYt8I9//KPAVes9PDwwb9486b58+PAhDA0N4ejoiI4dO2L8+PEqY70X5PiLwsnJCXv27MGKFSsQEhKCpKQkNG7cGKNHj1Y7PjsAzJ8/Hw4ODvjjjz8QGxuLzMxMDB8+HJ9//rnG5hz6+vpYv349fvrpJ1y+fBnXr1/XWIqvTml9n06ePBkNGjTApUuXEBMTg5iYGNjY2KBt27b46KOP0L9//yINJUhEVJz0BE3dkRIRUYVw6dIljBs3Dm3btlXb5rQyiI+Ph5eXF6pWrVri1ZZLyqpVq7B69WpMnToV06ZNK+vslDvDhg3DtWvXsH79+kJ1SkdERKRr2GaeiIgqPLEDPI4PXTFFRETg2rVrJT62PBERUXnCYJ6IiCqEe/fuYdeuXUodygmCgAMHDkgdo40YMaKsskclJDs7G8uXLwcg70+grPtEICIiKi1s9ENERBVCQkICvvvuO6k9b7Vq1fDs2TMkJCQAkAd6uTvzIt0VHByMjRs34tmzZ4iNjUWNGjUwbty4ss4WERFRqWEwT0REFULDhg3h6+uL8+fPSx2YWVhY4IMPPsCwYcOKpbd2Kj9evXqFkJAQmJmZwdPTE9988w2srKzKOltERESlhh3gEREREREREekYtpknIiIiIiIi0jEM5omIiIiIiIh0DIN5IiIiIiIiIh3DYJ6IiKiIunXrBhcXF0RFRZVZHlatWgUXFxesWrWqzPJQXrm4uMDFxaWss1FkY8eOhYuLCy5dulTWWalQvv76a7i4uCAgIKCss0JEVCDszZ6IKpxu3bohOjq6QOvUrl0bp06dKqEcla6AgABER0dj8ODBqFOnTllnhzT4+uuvsX//fgwePBiLFy8u6+yoiIqKwv79+1G7dm0MGTKkwOsHBARgzpw5+aYr6rNXUe73S5cuISQkBG3btoWnp2dZZ6fCuHPnDk6cOIEmTZqgR48eZZ0dIqJixWCeiCocV1dX2NnZKc3LyMjAzZs3peXGxsZKy21tbUstfyVt//79UlCgy8ENFYy1tTWcnZ1hbW1dLNuLjo7G6tWr0bZt20IF8yJjY2O4urpqXF7UZ0+b+93Z2blI+ygNISEhWL16NaZOnaoxmLe3t4ezszNMTU1LOXe6686dO1i9ejUGDx6sMZi3tbWFs7MzLC0tSzl3RERFw2CeiCqclStXqsyLiopC9+7dAQA///wzg1yqcMaMGYMxY8aUdTZU2NraYseOHWWahz///LNM919cli5dWtZZqJBmzZqFWbNmlXU2iIgKjG3miYiIiIiIiHQMg3kiqtQmT54MFxcXnDx5Uml+VlYWWrVqBRcXF3zxxRcq62nqMEkQBBw4cABjxoxB69at0aJFC/Tp0wc//vgjEhISCpVHQRDwxx9/YPTo0WjdujVcXV3Rvn17DBkyBEuXLsXz588ByNvcuri4ICQkBAAwbtw4qeOv3Hm9evUqli5diiFDhuCDDz6Aq6srOnfujC+++AIRERF55mXHjh0YMGAAWrRogXbt2mHWrFl49uwZAgIC4OLigq+//lrtus+fP8fChQvRu3dvtGjRAq1bt8bYsWMLVWr69u1b7NmzB5MnT0bPnj3RokULeHh4wNvbG9u2bUNWVpba9RQ7Qjtz5gxGjx6NVq1awcPDA76+vrh9+7bGfUZHR2P27Nn44IMP4Obmhg8//BD+/v4QBKHA+ddGREQEvvjiC3Tq1Amurq5o164dpk2bhqtXr6pNr6kDPMXrkpGRgVWrVqFnz55o3rw5OnfujEWLFiElJUVpnbFjx2LcuHEA5NW/Fe+jbt26lcjxikriftfUAZ5ix4UhISEYP348WrdujbZt22LKlCmIjIyU0p48eRKjRo2Cu7s72rRpg5kzZ+LFixdqj+H8+fP44YcfMGDAALRt2xbNmzdHjx498P333yMmJkYlvYuLC1avXg0AWL16tdJxKD5PeXWAV5jvnqI8D5oontOLFy/C19cXnp6eKvmOiYnB999/j27dusHV1RWenp7w9fXFmTNn1G43v07q1N3/3bp1k/pt2L9/v9J5HTt2bL7bVtzmu3fv8H//93/o0qULXF1d0bNnT/zyyy8av2sA4OHDh5gzZ47SMU6aNAl///232vTx8fFYsmQJ+vTpg+bNm6Nly5bo1q0bfHx84O/vr3E/RFR5sZo9EVVqbdq0walTpxAaGipVwweA27dvSwFOaGioynrivDZt2kjzBEHA7NmzcfjwYQBA3bp1UbVqVdy/fx+bNm3C0aNHsXXrVtStW7dAeVy6dCk2b94MAHBwcICTkxPi4+Nx//593Lp1C+7u7qhVqxYsLS3h7u6O+/fvIykpCTKZDBYWFtJ2qlevLv37iy++wNOnT1GtWjXUrFkTNWvWRHR0NA4ePIjjx49jw4YNatvtzp07F/v27QMA1KlTB1ZWVvjrr79w9uxZjBo1SuMxhISE4LPPPsO7d+9QpUoV1KtXD+/evUNISAhCQkIwYcIEfPXVV1qfk9OnT2PevHkwMjJCzZo1IZPJkJCQgJs3b+L69es4f/481q5dC3199e+sd+zYgfnz56NGjRpwdnbG48ePcfbsWYSFhWHv3r1o0KCBUvqHDx9i1KhRSEhIgImJCRo2bIj4+Hj88MMPePDggdb51tbJkyfx+eefIyMjA1WrVoWLiwtiYmJw/PhxnDhxAvPnz8ewYcMKtM3MzExMmDABly9fRsOGDVG7dm08efIEW7ZsQUREhHSPAZDO5/3792FhYQGZTCYtK+n+JUrifs/PiRMnsHTpUlSrVg2Ojo54/PgxTpw4gWvXrmH//v0IDAzEokWLUKtWLdStWxePHj1CYGAgbt++jQMHDsDExERpexMnTkROTg5sbGzg4OCA7OxsREVFYefOnfjzzz/h7++Phg0bSund3d0RGxuL2NhY2Nvbw97eXlrm5OSUb/6L+t1T0OdBG4GBgVixYgUsLS3h6OiIKlWqSMuuXbsGX19fvH37FmZmZpDJZHj9+jXOnj2Ls2fP4rPPPsOMGTMKvM/cXF1dYWRkhMjISFSvXh316tWTline0/l59+4dhg8fjidPnqBRo0bQ19fH06dPsXLlSsTGxmLhwoUq6xw5cgRffvklMjMzYW5ujoYNG+LVq1c4c+YMgoODMXfuXKUXCu/evcOwYcPw9OlTGBkZoV69ejAxMcHz589x/vx5XLt2DaNHjy7aCSGiikcgIqoEnj17JshkMkEmkwnPnj2T5l+/fl2QyWTC4MGDldJv3LhRkMlkQseOHQWZTCY8ffpUWhYTEyPIZDKhc+fOSuts375dkMlkQqtWrYRz585J81++fCmMGDFCkMlkgre3d4Hy/fr1a6Fx48aCh4eHcPnyZaVlaWlpwuHDh4U7d+4ozR8zZowgk8mEixcvatzu/v37lY5JEAQhMzNT2L17t9C0aVOhe/fuQnZ2ttLyo0ePCjKZTHB1dRX++usvaX58fLwwYcIEoVmzZoJMJhO++uorpfWeP38utG3bVnBxcRHWrVsnpKenS8vCwsKkc3zq1CntToogCHfu3BFOnz6ttC1BEISnT58Ko0ePFmQymRAQEKCynngPuLm5Cfv27ZPmv3v3Tvj4448FmUwmfP7550rr5OTkCIMHDxZkMpkwYcIEIT4+Xlp2+PBhoVmzZkLTpk1V7q38fPXVVxrPl7u7uyCTyYSFCxdKx5idnS2sXbtWkMlkQrNmzVSu+8qVKwWZTCasXLlSaf6+ffukdfr27Ss8evRIWhYeHi7t68yZM0rrXbx4UZDJZMKYMWO0PiZ1++3atavW65TU/S5e99y6du0qnZvNmzdL93xiYqIwbNgwQSaTCZMmTRLc3NyEgwcPSuvFxMQI3bt3F2QymeDv76+y3Z07dwrPnz9XmpeamipdP3XnVNP10+ZYC/vdU5jnIT/iOW3SpImwatUqITMzUxAE+XOUnp4upKSkCF26dBFkMpkwY8YM4d27d9K6AQEBQpMmTQSZTCYEBQUpbVd8XhTzqSi/+z/3c6bNtsVtNmvWTBg9erTSNT158qSU1wcPHiitd+fOHcHV1VVo3ry5sGvXLqXv0pMnTwru7u5CkyZNlO5lPz8/td8xgiAI0dHRwq+//qox/0RUebGaPRFVak2bNoW5uTnu3r2LpKQkaX5oaCj09fUxYcIE6W+RWK03d6n8pk2bAADTp09H+/btpWW2trZYsWIFjIyMcO3aNY1VLNV5+vQpcnJy4OXlBQ8PD6VlJiYm6NevHxo3blyAI5YbNGiQSimdoaEhvL290bdvXzx79kylOvevv/4KAPjss8+UeoWuVq0afvrpJ409bP/6669ISEjAxx9/jE8//VRpJAF3d3fMnz8fALBlyxat89+4cWN06dJFZVSCunXr4j//+Q8A4NChQxrXHzp0qFIP7RYWFlJ13LNnzyqlvXjxIm7duoUqVargxx9/RLVq1aRl/fr1w4gRI/KsaltQv//+O5KSktCkSRPMnTtXOkZ9fX3885//ROfOnZGZmalUkq6NrKwsLF68WKln95YtW8Lb2xsAEBwcXGzHoCg6OlqpenPu6f/+7/+ktCV1v+enU6dO+OSTT6SaHFWrVsW0adMAAEFBQfD29saHH34opbe3t4evry8A1fsFAIYPH64yokaVKlXwz3/+Ex4eHggJCdFYRb+giuO7pyDPg7Y6deqEqVOnwtBQXglUT08PxsbGOHz4MGJiYlCjRg0sWbJEqTbF4MGDMXz4cADAhg0bCrXfkmBgYID//ve/Ste0W7duUm2u3Ofol19+QUZGBmbPno1hw4Yp1RDq1q0b/vWvfyE7Oxvbtm2T5otNOkaNGqX0HQPIa6iMHz++eA+KiCoEVrMnokrNwMAA7u7uUpXSzp07IycnB1euXIGLiwu6d++ORYsWITQ0VPqxe/nyZQDKwfzDhw8RGxsLExMTtdWf7ezs0Lt3bxw+fBjnz5/HBx98oFX+xOq2165dQ0xMDBwcHIp6yEp5DgwMxP3795GYmCgFpLGxsQCAu3fvwt3dHQCQlJSEa9euAYDaYcqsrKzQo0cPte1Zjx8/DgBS0Jhbx44dYWRkhPDwcGRlZUk//vOTkZGBY8eO4dKlS4iNjUVqaqpS+/W7d+9qXHfo0KEq81xcXGBiYoJ3794hPj5eGuJN/KHep08f2NjYqKw3atQobN++Xas8a+P8+fMAoLFK7bhx43DmzBkpnbaaNGmC5s2bq8wX50VFRRUwp9rJb2g6xZdKJXm/50Xd/dCkSZM8lzdt2hSA5vN248YNHDt2DA8ePEBSUhKys7MBAE+ePAEgvz9zB/yFURzfPQV5HrQ1aNAgtfPPnTsHQP59kLt5AiC/v3///XeEh4cjJSUFZmZmBdpvSejYsSNq1aqlMr958+Y4fvw4nj17Js3LyMjAmTNnYGBgoHFIx27dumHBggVKL4nFe//EiRPo3Lmz1t+DRFS58ZuCiCq9Nm3a4OzZswgNDUXnzp1x9+5dvH37Viq9tre3l0rjAfUl82Kpir29vcYfn2IbWcVOtfJjZ2eHPn364M8//0SvXr3g6emJtm3bwsPDAy1btiz0D77169djxYoVyMnJ0ZgmMTFR+vfTp08hCAKqVaumMQBR18FYcnIyoqOjAQDffvttnnlKT09HQkICatSokW/+Y2JiMGHCBDx+/Fir/Ofm6Oiodr6NjQ1iY2ORkpIiBS/i9dLUbtjJyQmGhobFVjov7k+xTbWiRo0aAQBevXqFpKQkpZLNvGhqLy2+oEhOTi5gTrVTkKHpSup+z4+6+0HxxY265eL9kfu8CYKAH374Ab///nue+8zr/iyI4vjuKcjzoC1Nz0t+97eTkxOMjIyQmZmJp0+flkhNjILK79lR7EAyMjIS6enpMDIywsSJE9WuJ750VKydMWTIEPj5+SEgIADBwcHo2LEjPDw84OXlVeB+Voio8mAwT0SVnhiUi6UkYrDetm1bAEDr1q1x6NAhxMbGwtDQEJGRkbC1tVWqriz+oM+r0y0xSFX88b93716pQzlFYnVqQN4hWMOGDbFnzx6cO3dOKtmysbGBr6+vUvVgbYSGhuKnn36CgYEBZs2ahW7dusHBwQGmpqbQ09PD8uXLsW7dOqXgVPyxam5urnG76pYpNl24cuVKvnlLS0vT6hi+/vprPH78GG5ubpg2bRqaNGkCKysrGBkZISsrC82aNcszuNYU9IjnUbGEXzx2TcGMvr4+rK2tERcXp1Xe8yPuT9O9pDg/OTlZ62A+v2MuL4r7fteGYudsIj09Penf6pqQKC5XdODAAfz+++8wMzPDF198gfbt28POzk7ax+zZs3Ho0KFie/lT2O8eRQV5HrSlqdlNfve3np4ebGxs8OLFixJ7wVRQBTk/7969AyDvcDK/77z09HTp33Z2dti1axd+/vlnBAUFYf/+/di/fz8AeXOYr7/+Gq1atSrScRBRxcNgnogqvebNm6NKlSq4efMmUlJSEBoaCj09PanNbtu2bXHo0CGEhITAyMgIgHKpPPA+kH39+rXG/bx69UopLSCv0q7uB5/idkxMTDBt2jRMmzYNDx8+xOXLl3H69GmcOXMGS5cuBQD4+PhofbxiW3IfHx9MmjRJZbk49Jci8cds7iHMFKn74a34I/jmzZvS+SuKFy9e4NKlSzA1NcWGDRtU2peKzQSKi3gM8fHxapfn5OQUethBTft79+4dXr9+rbbEVPHeyOvliq4q7vu9tInP11dffYURI0aoLFf3fBVFYb97yor4PGnKryAIePPmDQDl/IovTzS9WMjru6k0iXm2s7MrcD8UDRo0wMqVK5GRkYHw8HCEhoYiMDAQV69exYQJE3Do0CHUqVOnJLJNRDqqfL2OJyIqA0ZGRmjZsiWysrIQHh6OsLAwNGrUSKpCKQbuISEhUul969atlbYhDh8VGxursTRJHMJMcaipadOm4d69eyqTpraWDRo0wPDhw7Fu3Tp8//33AIDdu3cX6HjFau+aSnnUtTV3dHSEvr4+4uPj8fLlS7Xr3bt3T2WepaUlatasCQDFNoSbOE53/fr1VQJ5TfkoCvF6PXr0SO3yJ0+eIDMzs9j3p+l8RUREAJCXtmpbKl8YmkqeS1Nx3O+lTWxDr+75yszMxMOHD9WuV9jzXdjvnrKS3/0dGRmJzMxMGBgYKL3MEkv6xUA/t6dPn6qdX9r3cb169WBkZIS4uLhCv+QzNjaGp6cnpk6disOHD8Pd3R0pKSkIDAws3swSkc5jME9EhPcBu7+/P+Lj45VK3p2dnWFra4vQ0FApmBer4IsaNGgABwcHpKenY8+ePSrbf/HiBY4dOwYA6NChQ7HkuWXLlgCgElyL1Xk1VVkXO51SVzJ27tw5tcG8hYUF3NzcAECq+qno3bt3OHnypNr99erVCwCwdetWtcsLSjy+169fqy2lE3v2Li7i9frzzz/Vls7n1za6sPvz9/dXu1zsbK+47iNN8ruPSlth7/fSpnh/5hYQEKAxGBWfy4IeR1l89xSFmIc9e/YoVTMXife3u7u7Us0esd34jRs3VNZ5/vy51Bwjt8Ke18IyNTVFhw4dkJOTUywdYxoYGEidVGp6kUpElReDeSIivA/mT506pfS3qHXr1njy5AkiIiJgbW2t0nmTnp6eVPV31apVSkNAvXr1CjNnzkRmZiZatmwJLy8vrfP1999/Y8mSJSqlWMnJyVLQ2qxZM6Vl4o9exZ6SFYnNBzZs2KDUC/P169fxzTffqO1hGoA0NNKaNWuk8wTIO/L617/+pbGa68SJE1GtWjXs378fixYtwtu3b5WWJyQkYO/evVizZo3a9XNr2LAhrKys8Pz5c6xdu1YK6NPT07Fw4ULcvn1bq+1o64MPPkDTpk2RmpqKL7/8UqnjsiNHjmDHjh3F2jHbyJEjYWFhgTt37uA///kPMjIyAMir82/cuBFBQUEwMjLCJ598Umz7VEeszvvgwQONAWhxK4n7vbSJz9eKFSuUzltwcDCWLl2q8fkSj0Mc1UFbJfXdU1L69+8PBwcHvHr1Cl9//bVSbYIDBw5g165dAKDSeVynTp0AACdPnsSZM2ek+S9fvsTs2bOl0QJyU3wJkJqaWqzHosmMGTNgbGyMtWvXYsOGDSovEl6+fImtW7cqdQy5fPly7NmzR+X78f79+zh69CiA9yMoEBGJ2GaeiAjyUj+xB2VANZhv06aN9IOqTZs2aqtujh49GuHh4Th8+DDGjx+PevXqwcLCAvfv30dmZiYcHBzw3//+t0D5Sk5OxubNm7F582bY2NjAwcEBWVlZePLkCVJTU2FpaSmNBy3q27cv/P39sXHjRvz111+wtbWFnp4eJk6ciE6dOmH48OHYsWMHnj59in/84x9wdnZGZmYmHj9+jIYNG6Jv377SmPKK+vTpg48++gj79u3D5MmTUbduXVhZWeHBgwcwMTGBj48P1q1bp9I5Wa1atbBmzRpMmTIFW7Zsgb+/P5ydnWFqaoo3b94gKioKgiCgb9++Wp0TIyMjzJgxAz/88AN+/vln/P7777Czs0NkZCSSk5OxYMECzJs3r0DnOS96enpYunQpxowZg+DgYHTq1AkNGzZEfHw8oqOjMWrUKJw5c0ZqvlBUdnZ2WLp0KWbMmIGtW7fijz/+gKOjI2JiYvD69Wvo6+vj22+/LfFevm1sbODl5YWLFy+iR48eaNiwIUxMTFCjRg0sX75c6+3ExcVh5MiReabZtGkTzM3NS+R+L22+vr4IDAzEtWvX0LVrVzg7O+Pt27eIjo6Gp6cnatasKbWrV9ShQwdYWVkhLCwMXbp0Qd26dWFoaIiOHTuq7dtCUUl895QUU1NTrFixAj4+Pjhy5AiCgoJQv359vH79WurvYvLkyVIHoKIGDRpg6NCh2Lt3LyZNmoQ6derA0tISERERcHR0xMiRI5XGbRc1a9YMTk5OiIyMRJcuXeDs7AwjIyM0btwYc+fOLZFjbNKkCX766Sd88cUXWLZsGVavXo369etL1e/F41R8YREREYF169bhu+++k75bExMTpaEMPT09MXDgwBLJLxHpLpbMExFBXhWzRYsWAORtsXMPj6ZYrT53e3mRnp4e/vvf/2LJkiVo3bo1Xr9+jYiICNSuXRs+Pj4ICAgo8BBDHh4emDdvHrp27QozMzM8fPgQ0dHRcHR0hK+vL44ePapSUtm6dWssW7YMLVq0wMuXLxEaGoqQkBCpEywLCwv8/vvvGDRoECwsLPD48WNkZmbik08+wa5du/LsJGvhwoX4/vvvIZPJ8OLFC8TExKBr167Ys2eP1DZe3foeHh44cuQI/vnPf6JBgwaIiorCvXv3oK+vj44dO+L7778v0A/r0aNH48cff0STJk2QkJCAp0+fwtXVFRs2bNA4nn1RNGrUCHv37kX//v1RpUoVREREwNzcHN9++y2+++67Qm1TLElU1ylg9+7dERAQgA8//BDGxsa4e/cuBEFAz5498fvvv2P48OFFOh5tLVu2DEOGDIGFhQVu3bqFkJAQXLt2rUDbyMjIwJUrV/KcxHNREvd7aXNwcMDOnTvRq1cvGBkZ4dGjR1Knfps2bdJYi8PCwgJ+fn7o1KkTMjMzcfXqVYSEhGjsq0FRSXz3lCQ3NzccOHAAw4cPh7W1Ne7du4eUlBR06NABGzZswOeff652vfnz52P69OlwdHTEixcv8ObNGwwfPhy7du1C1apV1a6jr6+P9evXo3fv3jAwMMD169cREhKitjlRcerZsycCAwMxbtw41K5dG48fP8aDBw9QpUoV9OzZE0uWLFF6STN58mRMmjQJzZs3R0pKCu7cuYO0tDS0bdsWS5YswebNmzn2PBGp0BMKM94IERFRLgsWLMBvv/2GOXPmSFXySbN//vOfOH36NHx8fPDll1+WdXaIiIhIx7BknoiIiiw5OVnqZMvd3b2Mc6Mb7t+/D0BefZiIiIiooBjMExGR1rZs2YI7d+4ozXvx4gWmT5+OuLg4NGvWTGquQJpt2bIF0dHRUptoIiIiooJi4xsiItLayZMnsWjRIlhaWqJu3brIyMjAo0ePkJOTA2trayxevLiss1iu+fj44N69e4iLiwMg7yxN7GuAiIiIqCAYzBMRkdbGjRuHqlWr4vbt23j06BEEQYCjoyM6duyIiRMnws7OrqyzWK5dv34dmZmZaNasGYYPH15qHdkRERFRxcMO8IiIiIiIiIh0DNvMExEREREREemYClfNPj4+vqyzkC8rKyskJiaWdTaICoT3Leka3rOki3jfkq7hPUu6SBfuW2tr63zTsGS+DOjr87ST7uF9S7qG9yzpIt63pGt4z5Iuqij3bcU4CiIiIiIiIqJKhME8ERERERERkY5hME9ERERERESkYxjMExEREREREekYBvNEREREREREOobBPBEREREREZGOYTBPREREREREpGMYzBMRERERERHpGAbzRERERERERDqGwTwRERERERGRjmEwT0RERERERKRjGMwTERERERER6RgG80REREREREQ6xrCsM0BERERERESqsrPLOgflm4FBWeegbDGY1xUCn2QlepX8ySUiIiIiokqNwbwuELIZzCtiIE9ERERERJUc28wTEREBOHz4MLy8vHD48OGyzgqRzhs0aBAGDRpU1tnQmpeXFyZPnlzW2SAiKhCWzBNRpaOXFlvWWdBIqGJf5G3ExMRgyJAhSvMMDQ1hY2ODli1bYuzYsWjUqFGR91NZeHl5oVWrVli7dm2J7ufatWvYtWsXbty4gfj4eJiamsLGxgYuLi7w9PREv379SnT/5dXVq1dx5swZXLlyBbGxsUhLS4O9vT06duyIjz/+GJaWliWy39K67iVt0KBBeP78eZ5p/vrrrwKfxx9++AFHjhxBQEAAHBwcipLFUjF58mSEh4fj4sWLZZ0VqmTya/Ne1OVlqbDt1St7O/fixGCeiKiCqlOnDnr37g0ASE1Nxc2bN3H8+HEEBQVh9erVaNGiRRnnsHzp0qULXF1dUaNGjVLf9+HDh/F///d/MDAwQLt27VC3bl2kp6cjOjoaFy5cQHh4eKUN5r/55hskJiaiRYsW6Nu3LwDgypUr+O233xAUFIQNGzbAxsamjHNZvhkYGGD8+PEalxsbGxf7PlevXl3s2yxJO3fuRJUqVco6G0REBcJgnoiogqpTpw4mTpyoNG/dunXYsmUL1q1bhzVr1pRRzsonCwsLWFhYlPp+09LS8NNPP8HMzAwbNmxAgwYNlJZnZWUhLCys1PNVXowYMQJ9+/ZVeskiCAJ+/PFHBAQEwM/PD1988UUZ5rD8MzAwUPkuKGl16tQp1f0VlZOTU1lngYiowBjM67rK1jEeO78jKhJvb29s2bIFd+7ckeaJ1Ynnz5+PdevW4eLFi4iPj8fq1avh4eEBAAgMDERAQAAePXoEAKhfvz6GDBmiUlocFhaGKVOmwMfHB61bt8aGDRtw9+5dGBkZwcvLC1OnTkXNmjVV8vXmzRts27YN586dw4sXL2BmZoZWrVph4sSJKsGt2A53x44dWL9+PU6ePImEhAQ4OjrCx8cH3bp1U0qflJSE33//HadOncKLFy+gr6+PGjVqwNXVFZMmTYKdnR0Aeen4woULMW/ePPTv3186FgAIDw+Hl5eXtM158+YBABYuXIipU6dizJgxKsd04cIFzJw5E8OGDcPMmTM1XpOHDx8iJSUFnTp1UjlWQN5EwtPTU+26wcHB2LdvH+7cuYO0tDSlphSK20pMTMSvv/6KM2fO4NWrV7CwsIC7uzt8fX3h7OystE2x+vS+ffsQHByMgwcPIioqCj179sR3330HoGDX6+nTp9i6dSuuXLmC169fw9TUFHZ2dvDw8MCMGTM0nhfRuHHjVObp6elhwoQJCAgIQHh4eL7bUBQWFobt27fjwYMHSExMhJWVFerWrYs+ffpg4MCB+V73/v37IykpCQEBAfj777/x7NkzJCQkoFq1amjTpg18fHzUBrIJCQlYu3YtgoODkZKSgvr16+Pjjz9GUlKS0n2nKCIiAlu3bkV4eDgSExNRo0YNdOjQARMnToSVlVWBjltbr169wrZt23DhwgXExcXBxMQEtra2cHNzw5QpU2Bubq5UdV+xSY9iswTxOf3jjz+k5Rs3boSfnx9++eUXxMbGYseOHYiKioKNjQ1GjBiB4cOHQxAE7N69GwEBAYiNjYWdnR0mTJiAf/zjH0r5fPr0KQ4cOIDQ0FA8f/4caWlpsLOzQ5cuXfDJJ5/AzMxMSqt4DRX/3bdvX+me1tSsojDPTkBAAC5cuIA9e/YgNjYWNjY26N+/PyZMmAB9fXZXRUTFh8E8EVEloqenp3b+27dvMXHiRFStWhU9evRAZmYmzM3NAQArVqzAzp07YWtriw8//BB6eno4ffo0FixYgIiICHz++ecq27t16xa2bduGdu3aYdiwYbh37x6OHz+Oa9euYfPmzahevbqUNioqCp999hni4uLg6emJTp06IT4+HqdPn8alS5ewatUquLq6Km0/Ozsb06dPx9u3b9G5c2ekp6fjr7/+wty5c7FixQop+BUEATNmzMCtW7fQokULeHl5QV9fH7GxsThz5gz69u0rBfO52dvbw8fHB35+fqhVq5bSiwuZTAZHR0esWLECBw8eVBvMHzhwAAAwYMCAPK4IULVqVQDyvg5ycnK0/rG/atUq+Pv7o2rVqujcuTOsra3x4sULhIaGonHjxlJQnZiYCB8fH0RFRcHd3R09e/ZEbGwsTp06hQsXLmDlypVo3ry5yvaXLVuGmzdvon379mjfvr1Ulb0g1ysuLg4+Pj5ITU1F+/bt4ejoiNTUVDx79gx79uzRKpjXxNBQ/hPGoACNL8+fP4/Zs2fD0tISHTt2RI0aNRAfH4+IiAgcO3YMAwcOzPe6A0BkZCQ2btwIDw8PdO7cGVWqVMGTJ09w/PhxnD9/Hlu3boW9/fv+L1JSUjB58mQ8fvwYbm5ucHNzQ1xcHL777ju0bdtWbV6Dg4Mxb9486Ovro2PHjqhZsyYiIyOxd+9eXLp0CX5+ftK9U1zS0tIwadIkxMbGwtPTE507d0ZWVhaio6MRGBiIMWPGwNzcHCNGjEBgYCAiIiIwfPhwqUaL4jHnZdeuXbhy5Qo6deoEDw8PnD59GsuXL0eVKlUQERGBU6dOoX379vDw8MCJEycwf/582Nvbo2XLltI2goKCcOjQIXh4eMDd3R2CIODmzZvYvn07wsPDsW7dOuke8fHxQWBgIJ4/fw4fHx9pG+L11KSwz87q1atx5coVtG/fHp6enggODsamTZuQmZnJTvaIqFgxmCciqkR2794NAGjSpInS/IcPH6J///6YM2eOUnB09epV7Ny5E05OTti0aZP0o33ixInw8fHBzp070aVLF6Uf2QBw8eJFfPPNN0qBrJ+fHzZu3Ih169Zh7ty50vz58+fj9evXSkE4AHzyyScYP348Fi1aBH9/f6Xtx8XFoUmTJlizZg2MjIwAAL169cK0adOwY8cOaTsPHz7ErVu30LlzZyxZskRpGxkZGcjKytJ4rhwcHDBx4kT4+fnB3t5ebTXlPn36YO/evQgPD0erVq2k+W/evMH58+fRrFkzNGzYUOM+AHl1ZBcXF9y7dw9TpkxBv3790KxZMzg6OmoMVC9cuAB/f380aNAAa9asUSqlzcrKQmJiovT36tWrERUVhY8//lgpkOjXrx8+//xz/PDDD9i1a5fKS4QHDx5g27ZtqFWrltL8glyv06dP4927d/jXv/6F4cOHK20nISEhz/OSn0OHDgGAxmBY0zqCIOCXX35R6QRSPGfaXHcnJyccPnxYpXQ8LCwM06ZNw6+//opvvvlGmr99+3Y8fvwYQ4cOxezZs6X5/fv3l2oB5M7L/PnzUa1aNWzYsEHpGhw/fhzfffcdNmzYoLStvGRnZ2Pjxo1ql1WvXl0qXQ8NDUVMTAxGjBih8pIuOTlZals/YsQI3L9/XwrmC9oB3tWrV7F161bUrl0bADB69GgMHToUq1atgo2NDfz9/WFtbQ1Afp/6+PjA399f6XumT58+GDlypPT8i8TvmRMnTqBPnz4A5N9XV65cwfPnzwvU3KCwz87du3fx22+/SU1DJkyYAG9vb+zZswe+vr4qeSYiKizW9SEiqqCioqKwceNGbNy4EStXrsSkSZOwZcsWmJiYqJQOGRkZYerUqSrBY2BgIADA19dXqT25hYUFfH19ldIoqlevHj788EOleaNHj4a1tTWOHz+OzMxMAMC9e/dw48YN9O3bV6UquaOjIwYOHIiHDx/i4cOHKvv4/PPPlX4Ut2nTBrVq1cLt27dV0pqYmKjMMzY2VqqKWxhiVeKDBw8qzT9y5AiysrIwcODAfLehp6eH//znP2jevDnCw8OxcOFCjBw5Et27d8fUqVNx+PBhZOfqznjv3r0AgJkzZ6oElIaGhlLNh8zMTBw/fhxWVlb45JNPlNJ5eXnBy8sLz549w/Xr11XyNXr0aJVAvrDXS935r1atWh5nJW/379+Hn58frK2tMXbs2AKvry4/Bam2bmFhoTa9h4cHnJ2dERoaqjT/zz//hLGxsVKpsJhesdq36MiRI0hOTsbkyZNVrkGvXr3g4uKCEydOaJ3f7Oxs+Pn5qZ3279+vkl7d+TE3Ny+2IHTYsGFSIA8AdnZ2cHNzQ1JSEsaPHy8F8gDQrFkz1K5dGxEREUrbqFmzptr8DB06FABUrkFBFeXZmTBhglIfD9WqVUPHjh2RkpKCJ0+eFClfRESKWDJfXim2hReyNbeNr2xt5gG2myfSUlRUFPz8/AC8H5quV69eGDdunEppsYODg9rg6t69ewAAd3d3lWXivNw/sgGgRYsWKlX6q1SpAhcXF1y8eBFPnz5FgwYNcPPmTQDykmx1JYfiD98nT54otcW2tLRUWxpYs2ZNaZuAvAS1QYMGOH78OF6+fIlOnTqhZcuWcHFxKVD1bE0aNmyI5s2b49SpU5g1a5b0wuPQoUMwMzNDjx49tNpO7dq1sXHjRty/fx+hoaG4ffs2bty4gcuXL+Py5cs4evQoli9fLpWM3r59G8bGxkq1AdSJjIxEeno63N3d1fbU7e7ujosXLyIiIkKldkWzZs1U0hf0enXo0AFr1qzBf//7X4SGhsLLywtubm5wdHTU6ryoExMTg1mzZiEnJwcLFy5UuW/V5WvEiBGwtLRE9+7dERQUBF9fX/Ts2RMeHh5o2bJloXrDDwsLw65du3Dr1i0kJCQovXBRDDKTk5MRGxuL+vXrKwWpoubNm6sMlyae51u3biEqKkplnYyMDCQkJEht9fNjbGyM4ODgfNO1atUK1atXx7Zt2xAREYF27drBzc0NDRs21NhEpzDUVW8XX0CpGzazevXquHXrltI8QRBw+PBhBAYG4tGjR0hKSkJOTo60/NWrV0XKY1GeHRcXF5X0Yl8hSUlJRcoXEZEiBvNERBWUl5cXVqxYoVVaTcFMSkoK9PX11QYhNjY20NfXV/vjVF16xf2I67x9+xaAvC3z+fPnNeYvNTVV6W+xPX9uBgYGSj/oDQ0N8csvv2DTpk0ICgrCypUrAchLyry9vTF+/PgiB/UDBw7EwoUL8eeff2Lo0KG4evUqnjx5goEDBxa45F8mkykFOmFhYfj3v/+NsLAw7Nu3DyNHjgQAvHv3Dra2tvm2r09OTgag+frmvh7qlikq6PVycHCQOj37+++/cfLkSQDymhuTJk1C9+7d88x/brGxsfjss8+QkJCARYsWSR00KhJfYCnq168fLC0t0bNnTxgaGmLXrl34448/sG/fPujp6cHd3R0zZszItw216OTJk5g3bx5MTU3h5eUFe3t7KeAT22aLxGugKejO6zyLNTA0SU1NLVINh9wsLCywceNGbNq0CefOncOFCxcAyAPRcePGSaXeRaXu+RWfQ03LctdOWbZsGfbu3Qs7Ozt06NABNWrUkF6i+Pn5ISMjo0h5LMqzk9fx5T4OIqKiYDBfnoml7iyZf4+l8kSlyszMDDk5OYiPj1f5UfvmzRvk5OSo/eEaHx+vdntv3rwBAKkEW1x31qxZ8Pb2Ls6sS6pVq4bZs2dj1qxZiIyMRFhYGPbs2YONGzfC0NAQH3/8cZG236NHD/z88884ePAghg4dKlW516aKfX48PDzw6aefYuHChbh8+bIUzFtaWkrnP6+AXjy/4nnPTZyv6eWIpu0V5Ho1atQIixcvRlZWFu7evYu///4bu3fvxrx581CjRg24ublptZ2YmBhMmTIFr169wn/+8x906NBBbbrcpdy5de3aFV27dkVycjKuX78udaQ2Y8YM7N69G5aWlvnmZdOmTTA2NsaWLVtUahnkrv4unjNNfQSouzbiOmK/CKXJwcEB3333HbKzs/Hw4UNcunQJu3fvxn//+19UrVoVvXr1KtX8qPPmzRvs27cPDRs2xKZNm5RKzl+/fq32hU5BFfezQ1RUfA+Uv2KocKdz2Ga+PBGDdiEbyMngpG6qbC8viMqYWF30ypUrKsvEIcHUlWZev34dgiAozUtLS8O9e/dgYmIiBUBiVe4bN24Ua77V0dPTg7OzM4YOHSqV0J89ezbf9fT19ZVK+3OrUqUKevfujfv37+PKlSs4deoUGjZsiKZNmxZLvtVV8W3atCkyMjLyHZbNyckJJiYm0tB1ueV1DdUpyvUyNDSEq6srJk6ciJkzZ0IQhDxL9xXFxMRIPegvXLgQnTp1KvD+czM3N8cHH3yAOXPmoF+/foiPj1eqyp3XdY+OjoaTk5NKIB8XF6dSLd7c3Bz29vaIiopS+5JL3bkszedCEwMDA8hkMowdOxYLFiwAoPy8iCXNeT0bJSUmJgaCIKBNmzYqz8fVq1fVrlPQkvHifnaISlt2NidxqsgYzBMRkUZ9+/YFIK+2KlY7BeRVUMXSLzGNoidPnki9jYv8/f0RHx+PXr16SdVhmzVrhmbNmuGvv/7CX3/9pbKdnJwctS8StBUTE4PHjx+rzBdL1dR19JVb1apV8fLlyzzTDB48GADw/fffIy0trUCl8jExMdizZ4/S+RWlpqZi165dAKBUgi1Wd/7pp5+Ueq4H5L3Zv379GoC87XbPnj2RkJCArVu3KqULCQnB33//jTp16qBFixZa5bWg1+v27dtqSzYLcv4VA/kFCxagS5cuWuVVndDQUKSnp2uVn7yue61atRAVFSWdZwBIT0/H0qVL1QaLvXv3RkZGhkqJcVhYmNqaBP3794eZmRnWr1+PR48eqSxPS0tT6huiuDx8+BCxsbEq8zWdHwD5PhslQewU8MaNG0ovE16+fIk1a9aoXaeg+S3uZ4eIqCSwmj0REWnUqlUraUilUaNGoWvXrhAEAUFBQXjx4gWGDRumthM2T09P/Pjjjzh//jycnJxw7949XLx4EXZ2dvjnP/+plHbBggX47LPP8O2332LXrl1o3LgxjI2N8eLFC9y4cQMJCQladd6lTkREBL766is0bdoU9evXR/Xq1REXF4czZ87AwMAAo0aNyncbHh4eOHnyJObMmQOZTAYDAwO0a9dOqRPBBg0aoHnz5rhx4wZMTEykIbG0kZSUhGXLlmH16tVwc3ND/fr1YWJigri4OJw7dw5v375F48aNMWzYMGmddu3aYfTo0fD394e3tzc6d+4MGxsbxMXFITQ0FKNHj8aIESMAAFOmTEF4eDh+/fVX3LhxA82aNZPGyq5SpYo0lrm2CnK9jh07hn379sHd3R116tSBubk5Hj9+jL///hvVqlVTGfFAnc8++wzPnz+Hq6srHjx4gAcPHqik0Xa4sZUrV+LFixdo1aoV7O3toaenh2vXruH27dto3ry5UmCW13X39vbGsmXL8PHHH6Nr167Izs5GSEgIAHmzgtydQo4dOxanT5/G3r178eDBA7i5ueHly5c4efIkOnTogHPnzildA2trayxYsADffPMNxo4dCy8vL9SrVw8ZGRmIjY1FeHg4WrRooXWfGHkNTQfI+xRwcHBAaGgoVq5ciRYtWqBevXqwsrJCdHQ0zp07BxMTE6U28x4eHvD398eSJUvQrVs3mJqaws7ODr1799YqT0VRo0YNdO3aFadPn8b48ePRpk0baThIDw8PREdHq6zj4eGBU6dOYe7cufjggw9gYmKCBg0aoH379hr3U9zPDhFRcWMwX96oayfPNvNEVIZmzZoFFxcXBAQE4I8//gAA1K9fHxMnTkT//v3VruPq6orx48dj/fr12LVrl1TKNXXqVKnXapGDgwO2bduGHTt2IDg4GIcOHYKBgQGqV6+Oli1bolu3boXOe5MmTTBu3DhcuXIF58+fR1JSEqpXrw5PT0+MHj1abY/tuc2cOROAvBT1zJkzyMnJgY2NjcqIAP369cONGzfQtWtXrdpdi5ycnLBo0SJcunQJt27dwp9//ol3797B3Nwczs7O6NKlC4YMGaJSij1t2jS4urpi7969OH36NDIyMlC9enW0bt1aaex1a2tr+Pn5YfPmzQgODsbVq1dhYWGBTp06wcfHp8BtsgtyvXr27ImMjAxcv34dd+7cQUZGBmrWrImPPvoIo0ePlnr4zovYmdzNmzc1lkZrG8yPGzcOQUFBuHfvHi5dugRDQ0M4ODhg6tSp+Oijj5Q6Q8zrug8dOhSGhobYs2cPDh48CAsLC7Rr1w6TJ0/G3LlzVfZrbm6OdevWYc2aNTh79izu3LkDZ2dn/PDDD1KwnLvtdfv27bFt2zb89ttvCA0NRUhICExNTWFra4v+/fsX6IWRODSdJu7u7nBwcICnpye8vb0RHh6OoKAgpKamwtbWFj169MCYMWPg7OwsrdOuXTtMnToVBw4cwPbt25GVlYVWrVqVSjAPAN9++y3s7e1x+vRp7NmzB3Z2dhgxYgTGjRuntj+FgQMHIjY2FidOnMCWLVuQnZ2Nvn375hnMF/ezQ1Sc8qs+XtGrl2tS2drN6wm5GzXqOE2dLpUn1tbW6vOpGLQrtg9nMP+eoQVgYMqO8MqAxvuWSEFYWBimTJkCHx8frQOsklLa9+zSpUsREBCAtWvX5jtkHJHo+++/x7Fjx7Bjxw44Ozvzu5Z0Du/ZvBU16BaX505XHoL5wgbOxRlwK27LwED9ttXN04X7VtPIQIpYN4iIiKiI4uPjcfToUTg5OTGQJ7XUjXt+5coVnDhxAvXq1VMq9SYiItIGq9kTEREV0vnz53Hv3j2cOnUKqamp8PHxKessUTk1c+ZMmJiYoFGjRjA1NcXjx49x8eJF6OvrS1X6iYgKIq/S98pazV6Tilr9nsF8eaKpnXxlqWbPqvNEpGNOnjyJI0eOwNbWFpMnT0bPnj3LOktUTvXt2xfHjh3DiRMnkJycDEtLS3To0AHjxo2Dq6trWWePiHRMfsOuVeZgvqIG7uqwzXwZ0NhGIztVbZt5vdSoShnMC1XsVdMotpln8F+qdKFtEZEi3rOki3jfkq7hPZu34mozn5GhPD8jo+yD+ZJsM6/tttW1mc+9rrp5unDfatNmvkAl82/fvsXKlStx48YNREVFITExEdbW1nB2dsbo0aPRq1cv6OnpKa2TlJSEVatW4fjx44iLi4OtrS169eqFadOmwcLCQu1+Dh06hK1bt+LBgwcwMjJCy5YtMX36dDRv3rwg2a0cKlIwn1vuY2PwTkREREREBKCAwXx8fDz27dsHNzc3dO/eHdWqVcPr169x+vRpTJ8+HcOGDcOCBQuk9CkpKRgzZgzu3LmD9u3bo1+/frh79y62bNmCS5cu4ffff4eZmZnSPtatW4fly5fDwcEBI0aMQEpKCgIDAzFy5Ej4+fnB09OzeI68MtHVgF9dvvNqcqAJXwIQERERUQUTG6uncVnukvySUJol8/b22lUmr0xV7IECBvN16tRBaGgoDA2VV0tKSsLw4cOxe/dujBs3Do0aNQIAbNq0CXfu3IGvry+++OILKf3KlSvxyy+/YNOmTZg+fbo0PzIyEqtWrYKTkxP27t0rjdM7duxYeHt7Y968eTh69KjK/omIiIiIiIgqkwJFxQYaXnVYWFigQ4cOePDgAZ48eYJGjRpBEATs2bMHZmZmmDJlilL6Tz/9FL/99hv27t2LadOmSVXzAwICkJWVhcmTJ0uBPAA0atQIAwcOxM6dO3Hx4kV06NChoMepG/LrAE9diXSOFq/ddKVkPncJeu5j0zd+fx5Y2k5ERERElUTu8eYzMvIufa9oJfOajkcxnbGxal8BFb2kvliKuNPT03Hx4kXo6emhYcOGAOSl7C9fvkSHDh1UqtKbmJigdevWOHnyJJ48eQInJycAQEhICACgffv2Kvvo2LEjdu7cidDQ0IobzAPKHeCJwazYMZ7aYD5Ti23mFF/+SpKevvLf2anKfwvZ8oDewLT08kREREREVE4oBvVl3QFeaRKPp6IH5wVVqGD+7du32Lp1K3JycvD69WsEBwcjNjYWU6dOlQLzJ0+eAID0d2716tWT0olpIiMjYWZmBltbW43pIyMjC5NlIiIiIiIinaUYwFfWYL6oaSqaQgfzq1evlv42MjLCl19+iQkTJkjz3r17BwAae6wX54vpAHnbexsbmzzTJyUl5Zk3Kysr6Ovr55mmPFA71EC6kUJpfJX3w9MZWWpXzV7Xh6/LXXXexFz5b31jwMhcPukbv0+vn+szN03zqcC0GSKDqDzhPUu6iPct6Rres5oV19B0VarI/y1WN8/IAPIKiypaNXvxFlM37JzI2BgwNdVuuDr5NnX/vi1UMF+nTh3cu3cP2dnZiI2NxZEjR7B8+XKEh4djxYoVZdpBXWJiYpntW1saxzXMSlKuWv+/YF4vNUEekOdkqlaZz8l6/29N1el1tJq9UCXXU6dvDBilySfFYF4K6o3VbJPj0RcXXRiPk0gR71nSRbxvSdfwns1bcQXzqamqwXxCgp5KOlFFC+aNjQWl+bk/5WmAtDTtgnlduG+LfZz53AwMDFCnTh1MmjQJ+vr6+PHHH7F7926MGjVK6sBOU0m6OF+xozsLCwulknp16TWV9JMGQo7uBPO55a5RoNgRoKZh69RhME9ERERERBVMsdVHFzulEzuxy6+Nu9imXkwHyNvXp6SkIC4uTmN6TW3wiYiIiuLw4cPw8vLC4cOHyzorRDpv0KBBGDRoUFlnQ2teXl6YPHlyWWeDSGtim3lNU05OyU/55aE8TBVdsdWHf/HiBYD3w9c5OTmhZs2auHLlClJSUpR6tE9PT8fly5dRs2ZNpWC+TZs2CA8Px/nz51X+Azh79qyUplISstWXsiv+ra4EvrKVzLMUnrQQG6uXf6IyYm8vFHkbMTExGDJkiNI8Q0ND2NjYoGXLlhg7diwaNWpU5P1UFl5eXmjVqhXWrl1bovu5du0adu3ahRs3biA+Ph6mpqawsbGBi4sLPD090a9fvxLdf3n15s0bHDp0CHfv3sXdu3cRGxsLALh48WKJ7re0rntJGzRoEJ4/f55nmr/++kuppqQ2fvjhBxw5cgQBAQFwcHAoShZLxeTJkxEeHl7i9w0RUWkqUDB/584d1KlTR+ULPyEhAcuXLwcAdOrUCQCgp6cHb29v/PLLL/jll1/wxRdfSOnXr1+PxMRETJkyRRpjHgCGDBmCzZs3Y+3atejevbu0n4iICBw4cACOjo7w8vIq3JESEVUyderUQe/evQEAqampuHnzJo4fP46goCCsXr0aLVq0KOMcli9dunSBq6sratSoUer7Pnz4MP7v//4PBgYGaNeuHerWrYv09HRER0fjwoULCA8Pr7TB/OPHj7F27Vro6emhbt26qFKlCtLS0so6WzrFwMAA48eP17jc2FhNnzNFpNhRsi7YuXMnqlSpUtbZICIqkAIF8wEBAdi7dy88PT3h4OAAU1NTxMTEICgoCCkpKejduzc+/PBDKb2vry9OnTqFTZs24c6dO2jWrBnu3r2L4OBgNGnSBL6+vkrbd3Z2xtSpU7FixQoMGDAAvXv3RkpKCgIDA5GVlYUFCxaUaed6JSp3iXPuUmixhF1dybw4T9MyXSmZVxlnPl3579zjzOfu+C6/3vxZak+VTJ06dTBx4kSleevWrcOWLVuwbt06rFmzpoxyVj5ZWFiUSb8saWlp+Omnn2BmZoYNGzagQYMGSsuzsrIQFhZW6vkqL5ycnLB27VrIZDKYm5tj+PDhUtM70o6BgYHKd0FJq1OnTqnur6jYjJPKu4yM9x3gZWfLO8RTfK+Zk+vnflYWSlxhBxDTZr3caVJT5Z+5O77L/S7S2LhyjUVfoMi4d+/eSEpKwtWrVxEaGoq0tDRYWVnBw8MDgwYNQr9+/ZRK2s3MzLB9+3asXr0ax44dQ0hICGrUqIHx48dj6tSpSlXvRZMnT0bt2rWxdetW7NixA0ZGRmjVqhWmT5/OUiQioiLy9vbGli1bcOfOHWmeWJ14/vz5WLduHS5evIj4+HisXr0aHh4eAIDAwEAEBATg0aNHAID69etjyJAhKqXFYWFhmDJlCnx8fNC6dWts2LABd+/ehZGREby8vDB16lTUrFlTJV9v3rzBtm3bcO7cObx48QJmZmZo1aoVJk6cqBLcis2wduzYgfXr1+PkyZNISEiAo6MjfHx80K1bN6X0SUlJ+P3333Hq1Cm8ePEC+vr6qFGjBlxdXTFp0iTY2dkBkJeOL1y4EPPmzUP//v2lYwGA8PBwpZph8+bNAwAsXLgQU6dOxZgxY1SO6cKFC5g5cyaGDRuGmTNnarwmDx8+REpKCjp16qRyrIC8iYSnp6fadYODg7Fv3z7cuXMHaWlpSk0pFLeVmJiIX3/9FWfOnMGrV69gYWEBd3d3+Pr6wtnZWWmbYvXpffv2ITg4GAcPHkRUVBR69uyJ7777DkDBrtfTp0+xdetWXLlyBa9fv4apqSns7Ozg4eGBGTNmaDwvourVq6N69er5ptNWWFgYtm/fjgcPHiAxMRFWVlaoW7cu+vTpg4EDB+Z73fv374+kpCQEBATg77//xrNnz5CQkIBq1aqhTZs28PHxURvIJiQkYO3atQgODkZKSgrq16+Pjz/+GElJSUr3naKIiAhs3boV4eHhSExMRI0aNdChQwdMnDgRVlZWxXZOFL169Qrbtm3DhQsXEBcXBxMTE9ja2sLNzQ1TpkyBubm5UtV9xSY9is0SxOf0jz/+kJZv3LgRfn5++OWXXxAbG4sdO3YgKioKNjY2GDFiBIYPHw5BELB7924EBAQgNjYWdnZ2mDBhAv7xj38o5fPp06c4cOAAQkND8fz5c6SlpcHOzg5dunTBJ598ovQbU/EaKv67b9++0j2tqVlFYZ6dgIAAXLhwAXv27EFsbCxsbGzQv39/TJgwQSeGTyYi3VGgYL5169Zo3bp1gXZgaWmJOXPmYM6cOVqvM2DAAAwYMKBA+yEiovwpvnBV9PbtW0ycOBFVq1ZFjx49kJmZCXNzcwDAihUrsHPnTtja2uLDDz+Enp4eTp8+jQULFiAiIgKff/65yvZu3bqFbdu2oV27dhg2bBju3buH48eP49q1a9i8ebNScBYVFYXPPvsMcXFx8PT0RKdOnRAfH4/Tp0/j0qVLWLVqFVxdXZW2n52djenTp+Pt27fo3Lkz0tPT8ddff2Hu3LlYsWKFFPwKgoAZM2bg1q1baNGiBby8vKCvr4/Y2FicOXMGffv2lYL53Ozt7eHj4wM/Pz/UqlVL6cWFTCaDo6MjVqxYgYMHD6oN5g8cOAAA+f5/VrVqVQDyvg5ycnK0/rG/atUq+Pv7o2rVqujcuTOsra3x4sULhIaGonHjxlJQnZiYCB8fH0RFRcHd3R09e/ZEbGwsTp06hQsXLmDlypVo3ry5yvaXLVuGmzdvon379mjfvj1sbGwAFOx6xcXFwcfHB6mpqWjfvj0cHR2RmpqKZ8+eYc+ePVoF88Xp/PnzmD17NiwtLdGxY0fUqFED8fHxiIiIwLFjxzBw4MB8rzsg79x348aN8PDwQOfOnVGlShU8efIEx48fx/nz57F161bY29tL66WkpGDy5Ml4/Pgx3Nzc4Obmhri4OHz33Xdo27at2rwGBwdj3rx50NfXR8eOHVGzZk1ERkZi7969uHTpEvz8/KR7p7ikpaVh0qRJiI2NhaenJzp37oysrCxER0cjMDAQY8aMgbm5OUaMGIHAwEBERERg+PDhUo0WxWPOy65du3DlyhV06tQJHh4eOH36NJYvX44qVaogIiICp06dQvv27eHh4YETJ05g/vz5sLe3R8uWLaVtBAUF4dChQ/Dw8IC7uzsEQcDNmzexfft2hIeHY926dVJtTh8fHwQGBuL58+fw8fGRtiFeT00K++ysXr0aV65cQfv27eHp6Yng4GBs2rQJmZmZ7GSPikzs2C0jQ3n4ucpaMq/YyV12tny++FkZSugraJ11IiJSZ/fu3QCAJk2aKM1/+PAh+vfvjzlz5kgdmQLA1atXsXPnTjg5OWHTpk3Sj/aJEyfCx8cHO3fuRJcuXZR+ZAPyzsm++eYbpUDWz88PGzduxLp16zB37lxp/vz58/H69WulIBwAPvnkE4wfPx6LFi2Cv7+/0vbj4uLQpEkTrFmzBkZGRgCAXr16Ydq0adixY4e0nYcPH+LWrVvo3LkzlixZorSNjIwMZOXxa8fBwQETJ06En58f7O3t1VZT7tOnD/bu3Yvw8HC0atVKmv/mzRucP38ezZo1Q8OGDTXuA5BXR3ZxccG9e/cwZcoU9OvXD82aNYOjo6PStVB04cIF+Pv7o0GDBlizZo1SKW1WVhYSExOlv1evXo2oqCh8/PHHSoFEv3798Pnnn+OHH37Arl27VF4iPHjwANu2bUOtWrWU5hfkep0+fRrv3r3Dv/71LwwfPlxpOwkJCXmel5Jw6NAhCIKAX375RaUTSPGcaXPdnZyccPjwYZXS8bCwMEybNg2//vorvvnmG2n+9u3b8fjxYwwdOhSzZ8+W5vfv31+qBZA7L/Pnz0e1atWwYcMGpWtw/PhxfPfdd9iwYYPStvKSnZ2NjRs3ql1WvXp1qXQ9NDQUMTExGDFihMpLuuTkZKlt/YgRI3D//n0pmC9oB3hXr17F1q1bUbt2bQDA6NGjMXToUKxatQo2Njbw9/eXxlfu168ffHx84O/vr/Q906dPH4wcOVJ6/kXi98yJEyfQp08fAPLvqytXruD58+cFam5Q2Gfn7t27+O2336T+NyZMmABvb2/s2bMHvr6+KnmmykubHtfF5Zp6rBflDuZz/10esaJK0fEUlnfq2sxXtomICiUqKgobN27Exo0bsXLlSkyaNAlbtmyBiYmJSumQkZERpk6dqhI8BgYGApD3gaLYntzCwkLq90RMo6hevXpKfagA8h/s1tbWOH78ODIzMwEA9+7dw40bN9C3b1+VquSOjo4YOHAgHj58iIcPH6rs4/PPP1f6UdymTRvUqlULt2/fVklrYmKiMs/Y2Fhtc6+CEKsSHzx4UGn+kSNHkJWVhYEDB+a7DT09PfznP/9B8+bNER4ejoULF2LkyJHo3r07pk6disOHDyM716+9vXv3AgBmzpypElAaGhpKNR8yMzNx/PhxWFlZ4ZNPPlFK5+XlBS8vLzx79gzXr19Xydfo0aNVAvnCXi91579atWp5nJWSpS4/Bam2bmFhoTa9h4cHnJ2dERoaqjT/zz//hLGxsVKpsJheXce+R44cQXJyMiZPnqxyDXr16gUXFxecOHFC6/xmZ2fDz89P7bR//36V9OrOj7m5ebEFocOGDZMCeQCws7ODm5sbkpKSMH78eCmQB4BmzZqhdu3aiIiIUNpGzZo11eZn6NChAKByDQqqKM/OhAkTlDrSrFatGjp27IiUlBT290DFprSGnysvE4ehU48l80REFVRUVBT8/PwAvB+arlevXhg3bpxKabGDg4Pa4OrevXsAAHd3d5Vl4rzcP7IBoEWLFipV+qtUqQIXFxdcvHgRT58+RYMGDXDz5k0A8pJsdSWH4g/fJ0+eKLXFtrS0VFsaWLNmTWmbgLwEtUGDBjh+/DhevnyJTp06oWXLlnBxcdFY6l0QDRs2RPPmzXHq1CnMmjVLeuFx6NAhmJmZoUePHlptp3bt2ti4cSPu37+P0NBQ3L59Gzdu3MDly5dx+fJlHD16FMuXL5dKRm/fvg1jY2Ol2gDqREZGIj09He7u7mp76nZ3d8fFixcRERGhUruiWbNmKukLer06dOiANWvW4L///S9CQ0Ph5eUFNzc3ODo6anVeCkNdvkaMGAFLS0t0794dQUFB8PX1Rc+ePeHh4YGWLVtKTQgKIiwsDLt27cKtW7eQkJCg9MJFMchMTk5GbGws6tevrxSkipo3b64yXJp4nm/duoWoqCiVdTIyMpCQkCC11c+PsbExgoOD803XqlUrVK9eHdu2bUNERATatWsHNzc3NGzYUGMTncJQV71dfAGlbtjM6tWr49atW0rzBEHA4cOHERgYiEePHiEpKQk5CkWRr169KlIei/LsuLi4qKQX+wpJSkoqUr6IiBQxmCciqqC8vLywYsUKrdJqCmZSUlKgr6+vNgixsbGBvr6+2h+n6tIr7kdc5+3btwDkbZnPnz+vMX+pYmO5/xHb8+dmYGCg9IPe0NAQv/zyCzZt2oSgoCCsXLkSgLykzNvbG+PHjy9yUD9w4EAsXLgQf/75J4YOHYqrV6/iyZMnGDhwYIFL/mUymVKgExYWhn//+98ICwvDvn37MHLkSADAu3fvYGtrm2/7+uTkZACar2/u66FumaKCXi8HBwep07O///4bJ0+eBCCvuTFp0iR07949z/wXhvgCS1G/fv1gaWmJnj17wtDQELt27cIff/yBffv2QU9PD+7u7pgxY0a+bahFJ0+exLx582BqagovLy/Y29tLAZ/YNlskXgNNQXde51msgaFJampqsdZwsLCwwMaNG7Fp0yacO3cOFy5cACAPRMeNGyeVeheVuudXfA41LctdO2XZsmXYu3cv7Ozs0KFDB9SoUUN6ieLn54cMxcbEhVCUZyev48t9HEQlRReq2ReEpkcnd5v5ylZKz2C+vFOsYp+TpVrtXHFeRRuaLidLdX5OhvIQfoDmIemIqMjMzMyQk5OD+Ph4lR+1b968QU5OjtofrvHx8Wq39+bNGwCQSrDFdWfNmgVvb+/izLqkWrVqmD17NmbNmoXIyEiEhYVhz5492LhxIwwNDfHxxx8Xafs9evTAzz//jIMHD2Lo0KFSlXttqtjnx8PDA59++ikWLlyIy5cvS8G8paWldP7zCujF8yue99zE+ZpejmjaXkGuV6NGjbB48WJkZWXh7t27+Pvvv7F7927MmzcPNWrUgJubm1bb0VbuUu7cunbtiq5duyI5ORnXr1+XOlKbMWMGdu/eDUtLy3z3sWnTJhgbG2PLli0qtQxyV38Xz5mmPgLUXRtxHbFfhNLk4OCA7777DtnZ2Xj48CEuXbqE3bt347///S+qVq2KXr16lWp+1Hnz5g327duHhg0bYtOmTUol569fv1b7QqegivvZISIqCWwzT0REGonVRa9cuaKyLDw8HID6KrPXr1+HIAhK89LS0nDv3j2YmJhIAZBYlfvGjRvFmm919PT04OzsjKFDh0ol9GfPns13PX19faXS/tyqVKmC3r174/79+7hy5QpOnTqFhg0bomnTpsWSb3VVfJs2bYqMjAzpGmji5OQEExMTaei63PK6huoU5XoZGhrC1dUVEydOxMyZMyEIQp6l+yXN3NwcH3zwAebMmYN+/fohPj5eqSp3Xtc9OjoaTk5OKoF8XFycSrV4c3Nz2NvbIyoqSu1LLnXnsjSfC00MDAwgk8kwduxYLFiwAIDy8yKWNOf1bJSUmJgYCIKANm3aqDwfV69eVbtOQUvGi/vZISqMvNqHZ2TIe6wXe7Wv6FNamvr5lb39PIP58kLq6C7XlJMBZFfyKSfr/aTpPBFRiejbty8AebVVsdopIK+CKpZ+iWkUPXnyBIcOHVKa5+/vj/j4ePTq1UuqDtusWTM0a9YMf/31F/766y+V7eTk5Kh9kaCtmJgYPH78WGW+WKqmrqOv3KpWrYqXL1/mmWbw4MEAgO+//x5paWkFKpWPiYnBnj17lM6vKDU1Fbt27QIApRJssbrzTz/9pNRzPSDvzf7169cA5G23e/bsiYSEBGzdulUpXUhICP7++2/UqVMHLVq00CqvBb1et2/fVluyWZDzX5xCQ0ORnp6uVX7yuu61atVCVFSUdJ4BID09HUuXLlUbLPbu3RsZGRkqJcZhYWFqaxL0798fZmZmWL9+PR49eqSyPC0tTalviOLy8OFDxMbGqszXdH4A5PtslASxU8AbN24ovUx4+fIl1qxZo3adgua3uJ8douKgrjf7sg6yS3tKT5dP6oL7yojV7MsTxcBUKVjNo3d3xXm6Xs0+N13NN1EF0qpVK2lIpVGjRqFr164QBAFBQUF48eIFhg0bprYTNk9PT/z44484f/48nJyccO/ePVy8eBF2dnb45z//qZR2wYIF+Oyzz/Dtt99i165daNy4MYyNjfHixQvcuHEDCQkJWnXepU5ERAS++uorNG3aFPXr10f16tURFxeHM2fOwMDAAKNGjcp3Gx4eHjh58iTmzJkDmUwGAwMDtGvXTqkTwQYNGqB58+a4ceMGTExMpCGxtJGUlIRly5Zh9erVcHNzQ/369WFiYoK4uDicO3cOb9++RePGjTFs2DBpnXbt2mH06NHw9/eHt7c3OnfuDBsbG8TFxSE0NBSjR4/GiBEjAABTpkxBeHg4fv31V9y4cQPNmjWTxsquUqWKNJa5tgpyvY4dO4Z9+/bB3d0dderUgbm5OR4/foy///4b1apVUxnxQJMffvhB+rfYsZnivOnTp2vVdnzlypV48eIFWrVqBXt7e+jp6eHatWu4ffs2mjdvrhSY5XXdvb29sWzZMnz88cfo2rUrsrOzERISAkDerCB3p5Bjx47F6dOnsXfvXjx48ABubm54+fIlTp48iQ4dOuDcuXNK18Da2hoLFizAN998g7Fjx8LLywv16tVDRkYGYmNjER4ejhYtWmjdJ0ZeQ9MB8j4FHBwcEBoaipUrV6JFixaoV68erKysEB0djXPnzsHExESpzbyHhwf8/f2xZMkSdOvWDaamprCzs0Pv3r21ylNR1KhRA127dsXp06cxfvx4tGnTRhoO0sPDA9HR0SrreHh44NSpU5g7dy4++OADmJiYoEGDBmjfvr3G/RT3s0NEVNwYzOuayhjMCzmq7emJisDeXsg/EUlmzZoFFxcXBAQE4I8//gAA1K9fHxMnTkT//v3VruPq6orx48dj/fr12LVrl1TKNXXqVKnXapGDgwO2bduGHTt2IDg4GIcOHYKBgQGqV6+Oli1bolu3boXOe5MmTTBu3DhcuXIF58+fR1JSEqpXrw5PT0+MHj1abY/tuc2cOROAvBT1zJkzyMnJgY2NjcqIAP369cONGzfQtWtXrdpdi5ycnLBo0SJcunQJt27dwp9//ol3797B3Nwczs7O6NKlC4YMGaJSij1t2jS4urpi7969OH36NDIyMlC9enW0bt0abdu2ldJZW1vDz88PmzdvRnBwMK5evQoLCwt06tQJPj4+BW6TXZDr1bNnT2RkZOD69eu4c+cOMjIyULNmTXz00UcYPXq01MN3fo4cOZLnPF9fX62C+XHjxiEoKAj37t3DpUuXYGhoCAcHB0ydOhUfffSRUmeIeV33oUOHwtDQEHv27MHBgwdhYWGBdu3aYfLkyZg7d67Kfs3NzbFu3TqsWbMGZ8+exZ07d+Ds7IwffvhBCpZzt71u3749tm3bht9++w2hoaEICQmBqakpbG1t0b9//wK9MBKHptPE3d0dDg4O8PT0hLe3N8LDwxEUFITU1FTY2tqiR48eGDNmDJydnaV12rVrh6lTp+LAgQPYvn07srKy0KpVq1IJ5gHg22+/hb29PU6fPo09e/bAzs4OI0aMwLhx49ChQweV9AMHDkRsbCxOnDiBLVu2IDs7G3379s0zmC/uZ4eoKDSNMy9WTtHFceYLQtPx5O4Ar7LRE3I3atRxmjpdKk+sra1V85mTAWQmyj8BIDtV/u+sJOilxMirmItVzpXWq7gd4AlV/tcbtoGxfJm+IWBcFTCxBfSNAb3//egS/21g+n6etE0D+XLx31Roau9bolzCwsIwZcoU+Pj4YOLEiWWal9K+Z5cuXYqAgACsXbs23yHjiETff/89jh07hh07dsDZ2ZnftaRzeM/mLa8AM7/23dnZgDiYy5s38qrkqany+QkJQFycnlS9PHewWxrVzgtbMUVcL6/1cy+zthagr/9+vrGx/N+K3WZYWcknY2P5ZGAAWFjIP3MPXKML962mkYEUsWSeiIioiOLj43H06FE4OTkxkCe1Xr16hRo1aijNu3LlCk6cOIF69eoplXoTEWmSu1S+spbMi39zaDoqv9hmvqxzQESUp/Pnz+PevXs4deoUUlNT4ePjU9ZZonJq5syZMDExQaNGjWBqaorHjx/j4sWL0NfXl6r0ExERFQSD+bKmrsO73H9X9mBe8VPxvLDaPBGVsZMnT+LIkSOwtbXF5MmT0bNnz7LOEpVTffv2xbFjx3DixAkkJyfD0tISHTp0wLhx4+Dq6lrW2SMiHcGSeeW/K1MpvDpsM18GlNpoiMG72GY++38NY7JT5VNWEvRSXuTfZl5dUK9rwbymNvOGVRTazFsAJtXl7ePFtvDq2swrtpNnm/lioQtti4gU8Z4lXcT7lnQN79m8FXeb+cREtpkH1LeZt7F532be1JRt5qmsqIyjrkXJfEUI5nPTeDyV/BUcERERERFVegzmyzNtgvkKXDIv1ULIyXq/LCdLXoshJ0Ne0s7SdiIiIiIiqoQYzJdXYiCfk6U6KarMwbyBaenmj4iIiIioFInV8DMy3k/Z2UBW1vsJUK1mn5UrZCgJpVnNPisLStXsxX+Lx1nYvOg6BvPliUr1+gIG8+KyihLMZ/+vsY++4ftlilXtFTsLVPxU/DdL7omIiIiIqAJiMF9eaapizzbzuns8RERERFRp5e7sTpsO8MTlimOoK/ZkX157s6+sJeWljcF8RVLRgt+8jkexZJ6IiIiIqILIHcAr/jt3IF9eg/niVtGOp7gwmCciIiIiItJB6trM5+SU/dB02iwryPoZGerbzIt/Gxq+71Mg9zB0FRmD+fJCXXt5XahmX5zbzqsDPH1DzSXzebWZL64SfLa9JyIiIqJSVpiSecX5FYWmmgcV7TgLisF8WcodkGoTyOcO2Mu6A7zSCObVnodc547BNhERERFVQHm1l1cMahX/Xda92Rd3yXx+wXxOjvJ5UnwJIqqIJfYM5isSXS+Z17TtvF5qEBERERGRpDKWzOcVzFfEIF7EYJ6IiIiIiKgcUgxOMzLkJe5iyXvucebFwFZxfkkqyZJ5Q0apWuFpKm9yV7PXNM58UavZF1fJdklWsxfHmc/Jki9TV9UeUD5nUr60aDPPqvlEREREVM7lVcVeUzV7XS+Zz693fl0/vuLCYL48KUyb+cJ2gFdswbxQPNsBAPwvT7mDeiIiIiKiSkDT2PJiMK+uZD53YJ+Vpfu92eeWlaXce734t1gDQV9fczV78d8Vsbo9g3ldV+hgvpiC8GIN5kX5vLAoSMk8EREREVE5oS5Qz71cMY043Fpm5vsgXRx6Tpx0KZjX19euCr22JfPq2sxXJgzmiYiIiIiIyjlN1ezFSSylFkvrS1peZXqa9q8Y5BfkZUBeJfP6+u/PgaaXJBUVg/nypjjbzOdky58ydU9aeSyZ19NT/hTbzIufKucjQ97uXWz7rm9cfHkhIiIiIipH8gvmFUupS6TybDHQtj2/NiXzBammX1EVKJh/8eIFjh49iuDgYDx69AivXr2ClZUV3N3d4evrCzc3N6X0q1atwurVq9Vuy9jYGDdu3FC77NChQ9i6dSsePHgAIyMjtGzZEtOnT0fz5s0Lkl3dV+Q284JuBfMq22bPFkREREREROoUKJjfvn07Nm7cCEdHR7Rr1w7Vq1fHkydPcOLECZw4cQLLli1D3759VdYbPHgwateurTTPQEMPBOvWrcPy5cvh4OCAESNGICUlBYGBgRg5ciT8/Pzg6elZkCxXPFoF88L7z4oQzOfXZp6IiIiIqJLRVDKv6ed/eVFcJfPqevBX1wFeRVagYL5Fixbw9/dH69atleZfvnwZ48ePx/z589GjRw8YGytXdx48eLBWQXhkZCRWrVoFJycn7N27F5aWlgCAsWPHwtvbG/PmzcPRo0dhWNkGHtS6ZF4hiBc/K2owT0RERERUSWVlAWlp8kldYFsaQazYMrYgy/T03uctr/XF9v+ilBR5x3mKVevFv8XQMCMDSE2V91pvYAAYG8vnGVfglrgFamnQq1cvlUAeAFq3bg1PT08kJCTg3r17hc5MQEAAsrKyMHnyZCmQB4BGjRph4MCBePr0KS5evFjo7ZdbQra8/bfSpKatfL6TFg1pxEljaXcBJxTjJL6QkCZt9k9ERERERFT5FFsRt1harq7U/PLly7h+/ToMDAxQv359tGvXTqX0HgBCQkIAAO3bt1dZ1rFjR+zcuROhoaHo0KFDcWWbiIiIiIhIJ6gto8tVGbe8V7PXJm+50+TuOK80euvXBcUSzMfExODChQuwtbWFTCZTWb5y5Uqlv21tbbFkyRKVoD0yMhJmZmawtbVV2Ua9evWkNBWaYk/2Be4AT0M1e6h7YorrCS+Bbwpxk7mPkYiIiIiIAKgG8pUtmNc0cWi6AsjMzMSXX36JjIwMzJ49W6ljuyZNmmDJkiVo06YNatSogefPnyMwMBDr16/H5MmTsXv3bjRu3FhKn5SUBBsbG7X7sbCwkNLkxcrKCvo6ME6BtbW1fOg4ccrUB4zTgYz/DbmWmQVkZgOGJoC+CZBjAGTrySfgfXCbpVAdXWxbIt79ik94buWxzbye3vsJAExM5J+mpoCBsXyqYgqYmALGpoBJNflwdIYW7z/FYeoMTN9/ikPW6efqdDH333kpSNoKzNrauqyzQFQgvGdJF/G+JV3De1YzxaAyd8ds6oLO3GkEQd7uOytL/hM5PV3+E9/UVD4Jwvsx5hXbzJdGOFTYNvNi3vJa38hI+W9TU+U281WqyNvCm5vL54v/trICLCzkk6np+78NDOR/K6oI922RgvmcnBx88803CA0NxbBhwzBo0CCl5T169FD6u169evjss89Qo0YNfPvtt1izZo1KqX1RJSYmFuv2SoK1tTXi4+OhNKZ8ZiKQHg9kxP8vmE+RT2nJ0EtOlreJz85QHnMdALLS3gfsYk8R0mu5HMiLuXWlZF5PYQKE9FT57MxkwCBTPmUYASYGgLGe/FPfCDDM/F8wn6kQzKe9/xSDeb1cAXnuv/PMGoN56b4l0hG8Z0kX8b4lXcN7Nm9FDebj4+XBfEKCvBO45GR5sJ6cDCQn6yEt7X1Arysd4GkTzOfOf3KyoBTMZ2cDmZnybRgayv9tZCQ/F5mZ8knsHDAzUx7Mp6W9354u3LfavGwo9DsbQRAwb948HDx4EAMGDMD8+fO1XnfQoEEwNDTElStXlOZbWFjg3bt3atcRS+TFEvpKJc9O4ATVuiUl0TldWUzSMeXq6C/38HS5JyIiIiKiCkRjn9ZC5ZjyqlZfmRUqmBdL5Pft24f+/ftj8eLFBarabmxsDHNzc6Qpvh4B4OTkhJSUFMTFxams8+TJEykNERERERERUWVW4GA+JycHc+fORUBAAPr27YulS5cqtZPXRmRkJBITE1G7dm2l+W3atAEAnD9/XmWds2fPKqWhwhB0a9J6iDo1pfPaTkRERERE5VxlLpknzQoUzCsG8n369MGPP/6oMZBPSkrC3bt3VeYnJiZi7ty5AIB+/fopLRsyZAgMDQ2xdu1aper2EREROHDgABwdHeHl5VWQLBMREREREekcxXb1lTmYz6uafWVXoA7wfvnlFwQEBMDMzAxOTk5Yu3atSpoePXqgSZMmSEhIwMCBA+Hq6gqZTIbq1avjxYsXCA4ORkJCAtq3b4/x48crrevs7IypU6dixYoVGDBgAHr37o2UlBQEBgYiKysLCxYsUDuOfYWS37B0KkPTKb62El9dKX4qzle844vrNVdxvi5T7gDvfS8eWYCevnzKr2Reylb2+8/cJfDszI6IiIiIdJymUuzyXqKtTd5yp+E48+oVKDKOjo4GAKSkpGDdunVq09SuXRtNmjRBtWrVMHr0aFy9ehWnT5/Gu3fvYGpqCplMhgEDBsDb21ttqf7kyZNRu3ZtbN26FTt27ICRkRFatWqF6dOno0WLFoU4RB2mGLAqdgAnLgPed1cpCADEoFUxeNfhYF4MwrMz/7dYX00HeBqCeSIiIiKiCkRxCDrxUyydz92bfWkEu4Xtzb6g6+vpvR+0S+ymTfH4K3NgX6BgfvHixVi8eLFWaS0sLPDdd98VKlMDBgzAgAEDCrVuhZa7B3vgf4F8NuRBdQUL5sXjEcem0NOXD82n+GJDrxQG0SQiIiIiIipnKnid9Qoqdz0aler0mqrZKwbe5TGY17Btqe6QFh3gAaxGT0REREQVmqb28kDlqWavaVLsa0CcCthfu85gMF8hVbZgXiGgZyBPRERERBVIXh3gVZZq9toE85UR6ygTERERERER6RiWzJdXGkugc9WjURmfHbk+dblknoiIiIiIRPkNSwdUzGr2il2GAdpVs68MGMwTERERERHpAHXV6yt6NXt9/fyD+cqK1eyJiIiIiIiIdAxL5omIiIiIiMo5dR3fVYZq9orHl7v2QWUvoWcwT0REREREpMMqSzAvYiAvx2r2RERERERERDqGJfNEREREREQ6rrKXzOfuzb4y9GjPknkiIiIiIiIiHcOS+fJCyFaYNIwxn5OlpmFIzv8m4X+fyPWpOM68YmOS8jjOvJ7CBEj5lV7HKZwLIiIiIiKiSozBvC5R112lFKwrBu3qlinOz/3vImWqmLaTx7aVjlvDiw4iIiIiokokr97sK9I488D74xHnZ2W9n/T15Z/qqtpXdKxmT0RERERERKRjGMwTERERERER6RhWsyciIiIiIirH1PXanlc1+4rem73YlKCyjzfPYL48U2kbrngnV4Y280REREREpC11gW95U9LBfGUK6BnMExERERERlWPalsxX5GCeVDGYJyIiIiIiKufUBfOKn7n/XdJKuzd7Pb3383NyVHuzV+zRvjL0ZA8wmCciIiIiIipV4tBpuYNOxXmKabQpmS9vwbym5axmX3wYzJcXQvb/Jg3jqFfKNvMK+VY3zjwRERERUSVTWavZq5tXmQJ3dRjMExERERERlUMFKZmvrMF8ZS6Z5zjzRERERERERDqGwTwRERERERGRjmE1+/IqrzbzKu3gK3qbeSIiIiIiIlLEYL680aYDvEoXzOtA4x8iIiIiIqJSxGr2RERERERERDqGJfPlgTQsnRZD06ktba8kJfNEREREREQEgCXzRERERERERDqHwTwRERERERGRjmE1+/JAq2r2uTu/q2TV7KVO8HJKcH9ERERERES6oUDB/IsXL3D06FEEBwfj0aNHePXqFaysrODu7g5fX1+4ubmprJOUlIRVq1bh+PHjiIuLg62tLXr16oVp06bBwsJC7X4OHTqErVu34sGDBzAyMkLLli0xffp0NG/evHBHSURERERERFSBFKia/fbt27Fo0SI8e/YM7dq1wyeffAIPDw+cPHkSI0aMwJEjR5TSp6SkYMyYMdiyZQucnZ0xfvx4NGjQAFu2bMGYMWOQkpKiso9169Zh9uzZeP36NUaMGIF//OMfuHLlCkaOHIlLly4V7WiJiIiIiIiIKoAClcy3aNEC/v7+aN26tdL8y5cvY/z48Zg/fz569OgBY2NjAMCmTZtw584d+Pr64osvvpDSr1y5Er/88gs2bdqE6dOnS/MjIyOxatUqODk5Ye/evbC0tAQAjB07Ft7e3pg3bx6OHj0KQ0O2DiAiIiIiIqLKq0Al87169VIJ5AGgdevW8PT0REJCAu7duwcAEAQBe/bsgZmZGaZMmaKU/tNPP4WVlRX27t0LQWHIsYCAAGRlZWHy5MlSIA8AjRo1wsCBA/H06VNcvHixQAdIotxt63VwEtvMq52y1U9ERERERBVATo7yJHapVZkn8VxUVsXWm71YWi5+RkZG4uXLl3B3d4eZmZlSWhMTE7Ru3RovXrzAkydPpPkhISEAgPbt26tsv2PHjgCA0NDQ4soyERERERERkU4qlvrqMTExuHDhAmxtbSGTyQBACtKdnJzUrlOvXj0pnZgmMjISZmZmsLW11Zg+MjIyz7xYWVlBX7/8j7hnbW0N5GTLp6wqQHqWfDJOB3IygPRs+WScCRiYA9kZQAaA7GzlV1BZ+vJ5ggAI4nHnKHwqlm4rvrYqrl7oi2s7AKCnMAGAkfzD1AgwMACMjAEzc8DcHDAxB6qYAwbGgJElYGAKGFoA+sbyyfB/nSuK8wBAz0D5U99APmlD23QVnLW1dVlngahAeM+SLuJ9S7qG96xm2dnK/xb/zshQ/ltTmqwsoEoV4N07ID1d/jM4K0v+t6Hh+zBA738/n8XS6tIg7lPTMnXL9fQAMVTLa30DhZ/e+vryvw0M3q9jaAgYGwOmpvLzY2oqPzfiZG0NWFnJPy0s3qdVVBHu2yIH85mZmfjyyy+RkZGB2bNnw+B/Z/7du3cAoLHHenG+mA6Q93xvY2OTZ/qkpKQ885OYmFiwAygD1tbWiI+Pf18VPDsVSI+XT2nvgJwsID1ZPqUlQy8pGcjOlD/RQjbkQbn4lGYByIY8qM7637yKEcwLYjCfmgkgBzAAkJUMZCcDJgZAhhFgkAkYCYBBGmCYqRDMZ8rXFecBqsG8nsH7f+ebNQbz0n1LpCN4z5Iu4n1Luob3bN6KGszHxwOpqUBy8vspK0s+LyNDTx4eCPJ1srLeB/NZWShxpRnMGxsLyMlRXSc5WX7senryfxsYyM+BoaH8PBgaApmZ8mA+Le39erpw32rzsqFIRdg5OTn45ptvEBoaimHDhmHQoEFF2RwRERERERERaaHQJfOCIGDevHk4ePAgBgwYgPnz5ystFzuw01SSLs5X7OjOwsJCqaReXXpNJf1ERERERESVkbrO4corbfKmmEbdMeXuAK+ydoJXqJJ5sUR+37596N+/PxYvXqzSTj2/Nu5im3oxHSBvX5+SkoK4uDiN6TW1wSciIiIiIiKqLAoczOfk5GDu3LkICAhA3759sXTpUqmdvCInJyfUrFkTV65cQUpKitKy9PR0XL58GTVr1lQK5tu0aQMAOH/+vMr2zp49q5SGiIiIiIiIqLIqUDCvGMj36dMHP/74o9pAHgD09PTg7e2NlJQU/PLLL0rL1q9fj8TERHh7e0NPoReDIUOGwNDQEGvXrlWqbh8REYEDBw7A0dERXl5eBcmy7tE0jnrO/z5RiSfpHBAREREREVVuBWoz/8svvyAgIABmZmZwcnLC2rVrVdL06NEDTZo0AQD4+vri1KlT2LRpE+7cuYNmzZrh7t27CA4ORpMmTeDr66u0rrOzM6ZOnYoVK1ZgwIAB6N27N1JSUhAYGIisrCwsWLBAGseeiIiIiIiIqLIqUGQcHR0NAEhJScG6devUpqldu7YUzJuZmWH79u1YvXo1jh07hpCQENSoUQPjx4/H1KlTYWZmprL+5MmTUbt2bWzduhU7duyAkZERWrVqhenTp6NFixYFPT4iIiIiIiKiCqdAwfzixYuxePHiAu3A0tISc+bMwZw5c7ReZ8CAARgwYECB9kNERERERERUWbDOOhGRjsrOLusclBwN3bEQEZUdoQJ/6RaEHr+gicqLQg1NR0RERERERERlhyXzRETFqDRLy8tDyTxL0Il0XGUqbWaJMhFVMAzmdZ6Qa0KuT3XLkevfRd1/Scl1HIKgeeg+IUf+g6Qy/SghIiIiIqJKi8F8eaMxUNUUmFf0YF6vBLdPRERERESkmxjME1GJKw/VwUuLumNlVXQiIiIiKm4M5omowiqLlwjloc08Xx4QERERVXzszZ6IiIiIiIhIxzCYJyIiIiIiItIxrGZPRERERMVOLy22rLOgrKhD04kj5uQzco5Qxb5o+yEi0hJL5omIiIiIiIh0DIN5IiIiIiIiIh3DYJ6IiIiIiIhIxzCYJyIiIiIiItIxDOaJiIiIiIiIdAyDeSIiIiIiIiIdw2CeiIiIiIiISMdwnHmdJPxvUvx37nnqlgm5tlFceSkpao5DyMljyn4/ERERERERVWAsmSciIiIiIiLSMQzmiYiIiIiIiHQMg3kiIiIiIiIiHcNgnoiIiIiIiEjHMJgnIiIiIiIi0jEM5omIiIiIiIh0DIN5IiIiIiIiIh3DYJ6IiIiIiIhIxzCYJyIiIiIiItIxhmWdASKigsjOLpm0xaWk92lgULLbJyIiIiLdwJJ5IiIiIiIiIh3DYJ6IiIiIiIhIxxS4mv2BAwcQFhaGmzdv4v79+8jMzMSiRYswZMgQlbSrVq3C6tWr1W7H2NgYN27cULvs0KFD2Lp1Kx48eAAjIyO0bNkS06dPR/PmzQuaXSIiIiKiohOylT/zS1fR6bHdF1FZK3Aw//PPPyM6OhrW1taoWbMmoqOj811n8ODBqF27ttI8Aw0NP9etW4fly5fDwcEBI0aMQEpKCgIDAzFy5Ej4+fnB09OzoFkmIiIiIiIiqlAKHMwvXLgQ9erVQ+3atbFhwwYsW7Ys33UGDx6sVRAeGRmJVatWwcnJCXv37oWlpSUAYOzYsfD29sa8efNw9OhRGBqy3z4iIiIiIiKqvAocFbdr164k8gEACAgIQFZWFiZPniwF8gDQqFEjDBw4EDt37sTFixfRoUOHEssDEVFpiI3VK9R6ipWaNPWcX5o93muzL3t7oeQzQkRERFTJlEoHeJcvX8bGjRuxefNmBAUFISMjQ226kJAQAED79u1VlnXs2BEAEBoaWnIZJSIiIiIiItIBpVJffeXKlUp/29raYsmSJSpBe2RkJMzMzGBra6uyjXr16klpiIiIiIiIiCqzEg3mmzRpgiVLlqBNmzaoUaMGnj9/jsDAQKxfvx6TJ0/G7t270bhxYyl9UlISbGxs1G7LwsJCSpMXKysr6OuX/xH3rK2tgZxs+ZRVBUjPkk+G74CcLCA9Wz4ZZwIG5kBWGpABeb3a7GwgJ0e+oUw9ANkABLyvaJGj8CkoTDkKOSiuaq/FWX1WT2ECACP5v42M5HV5jYwAc3PAwhwwMQeqmAMGxoCROWBgChhaAPrG8n8bWck3Ic4D3ve6Kn7qG8gnbWibroKztrYu1HqaqoOX9LaKc79F2ae6quipqYXbvi5Wsy/MbVNcx1DYe5aoLJXqfZtTgl+U2n7RlVbv8EXtfT3nfz+b88uPiXnR9iMSf7+UN/oGyp/gd21eFP+vFn/GA0BGhvLfmtJkZQFVqgDv3gHp6fKfwllZgKkpYGwMCIJ80teXT4IgDxNKIxzSy6PFoJ6e+uV6eu/zltf6ir8D9PXfhwPiOkZG8uM3N///9t4+WJajvO//ds+ec6WreyWuEIp/vgGJKlmygAgjg3iRXGAsgxNhGWSEnQARMarwJhFImSpTwUmMwVCpso0lhCNK5iXCSI4wFGUDRmU7QSAjhK5QCFiKDIWEdJ0gFYir+3bO7nT3749+mad7umdn9+yes3vO87m1d2d6enp65szO9Lefp5+21+ekk+LPvn3AKafY7z17bN4TT4yPsR3u27mK+YsvvjhaP+OMM/DmN78Zp512Gn77t38bH/rQh1pW+41y6NChmZY3D/bt24fHHnvMvgyMAtRxYP0x+zl21In5o/azdhTiyFH7q62HsMJdoRHmIzRivnZp20PMGy/mRyNgpIE1AOoooI8CuypguAJUI2DFANUQGIycmF+zywAwWCuLeVH1f7Fvx+lXJjyncN9OAYv5dtqPf7xzxsyfeOLkz4lZnMNG7lmG2So2/b6d4zRqYu3Hs6nDwoh5N0x0TH3MCSd2bu/Noor5pD2179TT+FnbwUbF/GOP2X6xo0ebT13btOFQYDi0Ar6u7ceL+brG3NlMMb+6aqB1e5+jR+31EsIuV5W9BoOBvQ6DgZUSq6vA2lqz3zK0Efp0NmyJCfvlL385BoMB7r777ih9z549OHz4cHYfb5H3FnqGYRiGYRiGYRiG2alsiZhfXV3FSSedhDXaPQLgzDPPxLFjx/Doo4+29nnwwQdDHoZhGIZhGIZhGIbZyWyJmH/ggQdw6NAh7N+/P0p/znOeAwC4/fbbW/t8+ctfjvIwDMMwDMMwDMMwzE5lbmL+yJEjuO+++1rphw4dwn/4D/8BAHDJJZdE2y677DIMBgP88R//ceRu/w//8A/47Gc/i6c85Sl43vOeN68qMwzDMAzDMAzDMMxSMHEAvFtuuQUHDhwAANx///0hzc8Rf/HFF+Piiy/Gj3/8Y/zKr/wKnvGMZ+Dss8/GE5/4RPzgBz/Abbfdhh//+Me48MIL8brXvS4q+6lPfSquuuoqfOADH8Cll16Kl770pTh27Bg+97nPoa5r/O7v/i4Gg02ZTY9hGIZhGIZhGIZhFpaJlfGBAwfwmc98Jkq7++67QzC7/fv34+KLL8YTnvAEvPrVr8Y999yD//E//gcOHz6ME088EWeffTYuvfRSXH755agy4Yrf9KY3Yf/+/fj4xz+Om266CSsrK3jWs56Ft771rTjvvPOmPE2GYRiGYRiGYRiG2T5MLObf//734/3vf//YfHv27MF//I//capKXXrppbj00kun2pdhwpR/6fJOZjtOrccwDMMwDMMwOxj2WWcWHBN/jO74qPgDbE8xz8KcYRiGWSRK79m+79/Nmmd+o9C2BcMwzALAYp5hGIZhGGY7MI3InIUwXQQxzx3dDMPsQLZkajqGYRiGYRiGYRiGYaaHxTzDMAzDMAzDMAzDLBks5hmGYRiGYRiGYRhmyWAxzzAMwzAMwzAMwzBLBgfAYxiG6UBNGBuqb/40X9/9KhLjqbRPNcc4UNOU7es5z3oxDMMwO4dJ381bCa2rUs26X861B3J5tI4/DAOwmGcYhtmWLFJDZyvqwh0HDMMwDMNsd1jMMwzDMAzDbGe6pnbbLlPTjYOnrtvWLFIHdsq8LPPGxB9mZ8JinmEYhmEYhulPKq6XQcxvBO4IYBhmQWExzzAMwzAMw8wWoxZLzBs1vSj3++lhv/r4fKVy+jLLTgzukGCYbQmLeWZ7M0ljYrvBL+4sXa54uW3DQptskjJy47ePH+9fr1JZXQHw0m1dY8j9Nh5nzjDMQrIo73Ffj83yJNhIB8Q2Y1zQ2O3uZp+62HMAPMbDU9MxDMMwDMMwDMMwzJLBlnmGYZYC2ks96T7j0qbN37eMPvmmsSrQfdiqzjAMwzAMs7NgMc8wzKbSR7R2ierNFvPzcrNPz2dSN/ucK/24emwVferCnREMwzAMwzCTwWKeWS6Mbj66BoQk36Mmnw8+Q8ea+WX63Xcs2iKNWeuqy7h6btF5pOPFJsmfpk0ifhdNzOfGu0/TSZGWxTAMw/RkI+PZt2LM/FazSO0fhmFasJhnGIZhGIZhNg4Vn4sWzX4WZfUR80bF0ew3IoYXQcz3QY/5W094DboCwnXlWVRKAfCGw/EB8IZD+6lr+8nNM8/sbFjMMwzDzJlZeRqk+y+imz17DDAMsyXMquOgz77jxPyiWuaX2Mq+HcV832j2HMme6YLFPLNcGBO72rc+Kn6R7rSp6Rb4RT0r9/jNdrOfdwC89JvFMMMwvUnfb6X33TjxOavjzssyX5q3HZjsvTdtm8AfQx1vyikeQzf50vpNM898n3365pn0+H3zd1nmF7hdwjDbARbzzBJgms9YMa+3t5jnlyLDMAzDMAzDMGAxzzA7nkksydO6saUuY9PUaTMt82wdZxhmYUmt36VtfdLHbeu7z7wt8377VnZoR4aCDj9nb1Tw+2zEMt93n3la5nP7pOnjxszn9mcYZibIra4AwzAMwzAMwzAMwzCTwZZ5hmG2lL7W8+0+Zp5hGIbJMOvhctOWZVRjkZ/EMr8R+uy/A6zc2zWa/UYC4Plo9gzDYp5hGIZhGIZhtoJZD4HYCmYen2j7d1AwzKxgMc8wDDMhs5gSbqOW+c2emo7jCDAMwzCLyEZi+mwG87TMpx9m58Finlk+dnI0+3Gk57oD3O8YhmGYLSAXiG8eAfDm6Wbft1xR2by6dvsV3OyFnNzNflEs8wvSXlAKULpZBoDh0H7SfNE+C9zUm5WYZ5gcLOYZhmEYhmGWiZJY3Mxo9psq5hMlsyDCk2EYZqthMc8sMIZ8TzLPfNIrvsyWeW6wMAzDMPMi947sa03uI+Z1Yk7tKq9rm7eICzcJkyDiXkz4jqcdA3RZZCZ4yqUxDMMsECzmGYZhloAuN7w++beSzawLj+1nFpa+Hcvj5uxOh5L1OUZX+izF/LzpiiI/TRmTlOeNBeP2m6ebPXfwd7JI7z0KR7Nn5gmLeWaBYcs8v7g3ziTT1+S2peP0pinDQ4XmaGS/03FwpXFxPp1up8eiZVeV3TatsGVBzDDMhhn3/o06A8aIY2+Z9/ix6X55onpNYZn3x1PD7vr6/N4jwaj4PS5XJ+88ofvn2gSiKrcVNqsNsdG2Vo96pqI3J5C3o5gfDoG6jj8s5hnKxGL+s5/9LA4cOIBvfetbuP/++zEajfC+970Pl112WTb/kSNHcO211+LWW2/Fo48+iic96Ul4yUtegquvvhp79uzJ7vMXf/EX+PjHP47vfOc7WFlZwc/8zM/grW99K/7ZP/tnk1aXYRiGYRiGYRiGYbYdE4v5P/qjP8LBgwexb98+nH766Th48GAx77Fjx/Ca17wG9957Ly688EJccskluO+++/Cxj30MX/va1/DJT34Su3fvjvb5r//1v+IP//AP8ZM/+ZP49V//dRw7dgyf+9zn8C//5b/En/zJn+C5z33u5GfJMAzDMAzDLCc5S/i0LvfzdrMHuodBTGKZ99vYS49hmAITi/n3vOc9OOOMM7B//358+MMfxu///u8X895www249957ceWVV+Id73hHSL/mmmtw3XXX4YYbbsBb3/rWkP7AAw/g2muvxZlnnolPfepT2Lt3LwDgta99LS6//HK8613vwhe+8AUMBjw6gGGmJbhziWS9x36TzqHuodPK9HF770qbZH72kvtaDu+a7pc9s3Cz9+Wx+zrDMIyjr6imIrq0/7Tb+rjZGz25m71ab/LRcnPCfVzHAHWjn9TNXq52lz0raCfFmI4HpdBuf4h4e2lqOvo+XmY3e7o8zs2eutczTI6JVfELXvCCXvmMMbjllluwe/duvOUtb4m2veENb8AnPvEJfOpTn8LVV18NIeyv+NOf/jTqusab3vSmIOQB4Kd+6qfwK7/yK7j55ptxxx134KKLLpq02sx2YieNmZ9kLB3DMAyzuOy0AHhjx8zzxNlTMUmbZtMCE07Q1jKFZZpmku0mSc+Uo2rfUbB47aJpxDyNk9MVAC/3YXYWczNxP/DAA3jkkUdw0UUXtVzpd+3ahWc/+9n4m7/5Gzz44IM488wzAQB33nknAODCCy9slfdzP/dzuPnmm/H1r3+dxTzDTEn00thEy3wa8KUr77i0eVnmu467DBb1Sc5zs9mMuizD34hh5kKfqPJbJuY7BHsa1K54rB4B8FKr+jSW+XH5J3KzL+RLLfU7jPBOntAynxO9RVFMyloUJhXzXqz7ZYbpYm5i/sEHHwSAINRTzjjjjJDP53nggQewe/duPOlJTyrmf+CBB2ZeV2ZZGBPNnr7stQsVnosCS7/79uAuSk9vWudJI9gaAFiQc5kjaQMgt620Xyreh8O2UJzWzZ7iXebSF7UstPN8Prq9K/I9bQzQenGEe4ZhZs40Yr6vZX4z3OxLIjt1s/ftjHF1V8QfPC231PFQOkfaWSGq9rXuasvQvOPaPLntpX18ut+mh00E/876IGtdbwnclpivto2YZ5hZMzcxf/jwYQAoRqz36T4fYCPfn3rqqZ35jxw50nncU045BbLUGl4g9u3bZ13ptALqE4D12n4Gh+3LYl3Zz+oIqE4C6jVgiOZp5VvpIwFAwT4R/Xlr8k19k+iLYlZ+OLP05xHkAwArLnnFKonBADhxFdh9ErB6IrDrRKBaBVbcd7UKyIH9DNx9V53YjBnbiJjfKtLxbjkxn057Q9OTc1aooEySphCtd7Fv376wPImgnceY+VJ5ad5Jx8ynYt6YfmLe5+natkr+nP5RNq2Yp2Wl9ctNTUfH7ad1TMf054S7P17uWF3rAHDyyeVtk5TTRe4clAJOPnlfNh/DbDp1JgBHgX2n7CtvpG74fed7n7VlXg/jfDpzbnoIrHa02ZT7MfaxctdJW2PWlvlxYl4O7HffOp9wYlyGR672E95pfvoun0TM0zbEPMU8gH3+WdvRTlEmdoUP72rT5LdivooE+sqogpTAygqifCG/su/GZXCzT9PHjZkXwp63MfZ7ZQU48UTbJlhfb97NxsT7aV1uT8wS0dF5IkR+uxBN3br2p+9r//evqmaflRV7/iedBJxwgv2mn337gFNOsd979ti8J54YH4O2a5eVbRdJ7tChQ1tdhbHs27cPjz32WPMSVceB9cfs59hRJ+aP2s/aUYgjR130iyGscFdohPkIjZj3luntIeaNtyCbEVC7l/loCNRHgVUB7KqAagSsGPtdjYiY92bINRbzfh3uBamnE/PhvnXsFDG/ttZ+IeYs4j5P1zYqwI8eFSE/3aevmKdxQNN9pGy/yP2y35ar37zE/OqqKW5Ly+8qp4ucmE/v2WnKZZiZkQregmjed/I+PPb4Y9ltYb8lEfNiraNNNi6YHNCI6Xotn+6XN03M96gzADM8IS7DI9fLbva5MuVgY5b5TRLz+045rblnu8S8igV3eFfrJn9OzA9HFY4fzwfA83mOH3e2LrN4D/lJvOhoOmCb/0eO2HM/dMh+Hn/civf1dWBtTWA4tOtax2J+MzwCNlPMr64aaN3e5+hRe65C2OWqstdjMLDXYTAARiPbzlgjj5JcG2HR6NPZMDcx7wPYlSzpPp0GutuzZ09kqc/lL1n6me0M6ZCgbva6ti84/01fkN4VjqYto5hPKYl3T64RtoDnWHKVo2klET5OzKfj83Nj0XJ4kZuK4OFwdmKebqONki4xXyp33Di6rnowDMMwzFbTiPk4TenYat01Zp5u0xrQCxgAbiNinmHGMTcxP26Mux9T7/MBdnz9N77xDTz66KOtcfPjxuAzO4he0ex95BAyjl54n6VtJObTtHEWlXS82rKdP8MwzKIwaaTwSSLPTxLNftEC4PF7Zfak3gTRlHq6ad90sVVj5qN87kPWvSXek7XMr1UYruUt88OhddMfDhMRvED3YZcwHyfmtY6np0uj2DPM3MT8mWeeidNPPx133303jh07FkW0X19fx1133YXTTz89EvPPec5z8I1vfAO33347Xv7yl0flffnLXw55GCaCWuk91BWOuuKl34seVbbLna6rU0JU7eEF24DU6k6/S3kmsWiXXqq5fF1l9NmWLucC3NF1v927109jme+zrcRG3PX67JsOb2AYhmF2FkHAj7HM0+VRba3xXug2Yn5LTiELi3lmnsxNyQghcPnll+PYsWO47rrrom3XX389Dh06hMsvvzzMMQ8Al112GQaDAf74j/84crf/h3/4B3z2s5/FU57yFDzvec+bV5WZhSVxs9f1DvoMy59J5nXd4XTN07qTPwzDLAD+Wd7n0/VOmNdHHd/AZ1j+TPte7OudN88PwzDMgjCxZf6WW27BgQMHAAD3339/SPNzxF988cW4+OKLAQBXXnkl/vZv/xY33HAD7r33Xjz96U/Hfffdh9tuuw3nnnsurrzyyqjspz71qbjqqqvwgQ98AJdeeile+tKX4tixY/jc5z6Huq7xu7/7uxgMtl3MPqY3bry8VvaF7q3vNBBO+qJdess8ORch4+432sBjGIZhNgfq4j7Nful6GjyOuiznjrnZbva5fdXx5LjJuwqI39PZY+v4O0c6JZxPKwXA89/TBMDryt9XyC96m4JhmG3HxMr4wIED+MxnPhOl3X333bj77rsBAPv37w9ifvfu3bjxxhvxwQ9+EF/84hdx55134rTTTsPrXvc6XHXVVZHrvedNb3oT9u/fj49//OO46aabsLKygmc961l461vfivPOO2+ac2R2EukLN/fy7YqAu8iExkqmMeFd7XONuijNfeh+DMMwzGKzaGI+nUO+NEd6H1HdZ2q6PvPML9P7nJkZPuhdy+tsG7nZpx/qZp9+mJ3HxGL+/e9/P97//vf3zr937168853vxDvf+c7e+1x66aW49NJLJ60as5Pocn0bJ+aXiVJHBJC3zC+olb4rwvwk0ewnHTPvx5qVxqpTStHs63p20ewpNTE05Y6bQl/speOMq2O6jaPbMwzDMFtBNBZed6/76W3DLDZE7NZuzLwa2TTlBe02EvN0zDxtOzAMsA3nmWe2M5np6Xa0mNeNmGcLe5H0RTnNSzWXr6uMPtvS5b7ifFZinoU8wzAMwzDMcsNinlle6HzzQOM27wPkAIAc2I/fTlkGN3tJfqJCxucTOjESQU+njEkj3Xs3exb/O55Jg+BtRjT7WZPz8OgDR9VnIkpu57MaM59L78q7lW724biZ+DStsjfZzX6abRsdM7/obQiGYbY9LOaZBcRkvpOI9uMizG4Hyzw3EnY8OUv+LN3sl0HMs7Bmdhws5rvL4XcjwzBMgMU8swRQMe8GUslR/EJPI9bT9NK2RbfM02i9QGylb+UjDTu2us+ELsE7rZs9HetWGjNP3d+pO3xXubm56VNXel+235bbP/3OkYruVGyvrnbvw+KcYXqwsGK+0FE+bzGvk4HCcrAYlvmSpT6Nvp/L07fONL9vF7Rmuim0DzYrjs4ch/zRMfMjd1n9O7OugdG6HTM/9GPm/aXZRmPm19bisfM+CF4uIB6z82AxzzAMM2fGdQiUXN4XyTLfN28poKGHxTzDzIhJgqBuSMz38Hqbl5hPh9Pl9vcd87SDvssdfp5T0+WOQdH17MV8V8fGZov5sfmQOF/yC4FhNgqLeYZhmAkYN9a8r+hdNDFPLfldlvl02yB5i4wT8yV3+kUaM5/CHRDM3CiJ6T6W+bmJ+Q7r8zzEvBfquby5eebT/fuK+Zxwp2k5kU3Fs9GAGpbPx+cH4nypGB/XsUBJ4/7kxHxfhAZExwMxF2enL9OK+a4PC32G6QWLeWa5GTdmfpyr26K72U+ST6j4RVyaZ36HvyD7uruVRPN2FfMbxZe1HcX8tHAnAMMUSGedod9deYEmyO12FfOldz8V85RtFJgvmppOt6ery829bgx27DzzDAOwmGd2OoseHC990acNoFZaMpaSfgOuxzux4qQvhBmMeeua+30j88wPh016mG82yZebn5W+KEtztKbzzNM5bNNx7LkXc25se59547vKnEbM85Rz/dhKkb9VcOcCs+3p6hgYJ+a7ysy9f3OMGzM/DzGfO36u/CXFv/vpHOt0zHzthL5/12/HMfP+3OqaRTzThsU8s7zQKen8N12m3+lybn1BUMq9gYQBJHkbSdF86LpW9lsYQA8BXQHSRSHzu7tvpQFl7LrSACQRNUneFB+Apqln+RyGw/Y6Fd8bEfPpfn17tOn2nKCnAn5eYp6uzysAHg1yN2kAvFzwOoZhloQuV+dON/uMpTddT0UsnQI23YcK2px7fFrmpG72qahNrfK5slLLfGrBn5WYz3kFloLTpeX0HarQxzLfVeY8yN17PQwDkSU+scJHabr9bveHzFmutcbSiPnc9i7LPA12l36YnQmLeWY5KU1PF7aPeUEuMoa8gSa1zDMzY7Pc7OlLuo+Yz9VrWjFPOy8oOeu+z5uOkU+35/CdMOMsw3S7X86l9YGt0AwzY3LvH7qtK3+aj3YG9BHzqdv6PMT8JG7246zopU6McfXsKnMb0lfMByFLbz8nYHeCmGeYLljMM8tLTtCHbTtUzBuDVlCkopv9fNROyare5WbflZ+mUcs8dbej9HGz72OZ93k2YpkvCV+aL/UeSL0ISm7zkzYOSsee1T5dDY95jZlnwc4wzESU2gqzssyn5fYpe9y+87DM76AOA4bZ7rCYZ3YuCyDy8y7m3s0egKTmV9186Lpx3wIAtBXrUgFQ1pW+UombvV1XLp/SVXM8+p3U8YQTgOPHu+vu01M3++PHu93sqdD336nVOHWP7yvmh8PpxHzJzT53zNK2vuK4z5j53LacZX0jbvZ9otl31afErC3z01rrGYZZcPpa+Et5+5Sz7GKeYRiGwGKeWRLIfCXer0qIZpBQyeUtdcVbNHKCOIh5mX+pp5Z5Gh+AzmHrg9u1otnPqOodYj4V7OPGzKfj33NCta+Yp5b4LjGfE7Q5MT8c9hPz3grfJeZpOf56pG726XFKLvDTinnqLdDXMt/HzW+zxHxf8Z67D9Pt4+COAmZqcp5RetjOY1Q7XQ/zaXSf3NR0nWPmOyy3fS2/NO+0Y+b9Oyt9fzGT0Vfwb+WY+Ww+oGtquuG6MwiMGjf742vAaB2oR4CqEUWur2v7fhnVzbveuuhXS+1mT9NoO8Z/83h5hsJinll+jG5E7CQB8BaB3ANeEzHfqwwSCNBfh66AOxPSJwp9ukyjzgNty3wu+JtfTtP6inlqSZ+nmM9ZtoFYzJeC1vUR86Ux87ky/DWg+40T8znGWeY3KuZHI/vdJaBnLZy3elo6hmlRmk9+VvPM54LZhf1nLOZnNWbev7dKFu9ZB8BLOxH6jpn3edLx/fMeMz/PTo9ZCv0ZzjOvavfRzXPcaFjHQze6UvnI9XX8acQ8ZibmzQyGJG5UzPs2Cwt4JgeLeWZ7sixj5nMP4w2NmV/gc2XG0mf8ea5zYxIxn/McGBcArysYT586+46LUkeIhwp6H1m/yxrPlnOGWQJKbu2l5dz+NE9OzNPvXCfCRsW8HDgV2TMAXr3WLNPO9VTMj4PWl3bUj+sE6KrbEqEUoBWAjkB3pc/sxPzG2aiY9x8W8EwOFvPM9mQni3mjicUGTW/5DOaPZyzjXrxd+XL50zHzXcKY5ukj5qlgn6eY74LWs8RwmBfnVMz75S53fLot9RCh+HTuEGCK5Fzlu9K78uTc6WfmZp8Rxa36dKT3tczTbX0s8wzDMMzcYTHPLBgms5z4YKX+RcbA+l9N2IhZBLrE/JL3qneNiy8J2Und7HP7boabfS6AHj3mpG729LvP1HF+W5/OAqYfO9ElnzsymCKlMdnTuNnP2jLfdcxc3frWp8QityG2EdHUdGR6ujD9nGnaAf4d7pdp2uzd7DfOrNzs2UrP5GAxzzDMhskJ9zQtJ9T7iHlPzno9bt+S1bskhPtax/ta5lPRT63nXe7pfS3z04j53H6zGDNfyks7P7os8yUX/I1a5tOZFfz21DI/D0s9i2WGmQPjBHhJ+G/EzT4duz+rMfOlPOP2K7nZ+zyTuONvMkrBzqiTCveCmIdBFPRup7jZM0xfWMwzS0AmQkrLMo/tZ5nvcpncRKYJgLfVYp4GxyvNM9/XMp9OTTcY9BfzJdI60u9xlvlZBsBL60rHtlPqugnwN0jeGul6zmV/ba1ZTvPTuuTObTBo0lMxr1RZzCvVnk4x3V5ap2X5sfs5WKwX6BMIaxno62YvqvF5ugLdTe1mr+P3xCzd7MdZ5vtEs8+JXy+MaQC8WVnmx12HTjFvAFEQvpGYV01+ABAFqddXzOeEdenaR/XtyFPKVzrekrJTxDxb45lxsJhnGGZbM2vL/Lh9+/awb6VlnmEYhmG2GmqF955UwyEwrAFlmgj1qTt96aP19nGzp9uomGdBz6SwmGcYZtPIWdPnYZkvlV9Ko9vS5c0U86l1et5ifpK65uIE9EHK/tHsc+dOr4n3LlhZafLlLPO+gbgRy3xqoc/RZbWnZW4mM/cWmMbKviiW+Y3WY1ygO5q+Ect836npchb5PpZ5Gvm9dQ4Fq+4sx8yn++W2lSzJfhu15Hcds3RONN3H2QGIZ19JIXkFRfftyp+p26QedpNY5reRpb0Pfdzrt7tlnueYZ1JYzDMMwyw4pc6DzRTzpX3GHcePmfeifFIxT9NzQwVKYh6Yfsx8XzE/Cblx/gyTpeR6nxPxWyXmN9vNPhXzcg7N15Iq2qiYpy73fdzsJxkzn5bVVTadwi93T/j0SafPA/IdUNl87lOYXWc4BI6vu8B3xGK/ttY8z1Nr/HAIjOom2O12tMzT246FPJPCYp5ZAnqOmdd1e77Z3Fy0i0Tm3aeGvrFi7MfXWytACvsBmmXj0oVxL9QaMAMAQyizatMEAFnZlxxgg8+4S6n8S0Qk374+Mxgzn+01R36dplNylutxTGOZT0VnOmbep9F90u9SILmuaPb+xSzozISZF7XfTq+xEE26X07L8semY9Cp4M5903MsRehPr2WubN/IGifm6X5+bD29/r7uuW1pcMHh0Frwjx6Nyx8X8C4V83RcfkrJ8l6aYq9re7otredMCdbiCfJOU/6MKV63kvV7knrkxEVfy7yo2uI7Z5lXx9t5aLrPO6qB4eNxXi9mu8R865wy70GgLTTnJeaBZr71dH81LIv5XH1GI/tQk9J9j+KHXsjboXLoNiHa23L4h6lXVOEH6fMXFOPgGCljQsFNz18O7CedZz7N768l7UjJ5fXfclC+b6ahj5jvMT2uolboTLshdbn3An9UW8EfxLzBzMT8LBjb99Oxnd7Odd3chv6bxiRicb8zYTHPLAFUyGv7McJ+0pe5D0bjA9mM6wHfanLvPkVexjm3wrTR41/mcuAaWCtuW8+e8gUgJ4jTCOg+za93TU3n980FuxsXAG9aMU/X+4j5tN59xPw4oc8wS0nf51Tpnp+FmB9Xbtf2XJ7Uhb6Pm32UtyCwJxHz6f6l5Xm52af5u/IxTA96udgvoMV6VmKe3eyZHCzmGWbJUQpNX4cAIJvv0Dst7PbtYJnPldln39J+pWOk3131oN85a3EO37M+qZj322mHQx/LPLXo+2Xf8dBlmU/PNxfNPrXM030GA2DXruZYfv9SZP3UMk87R1ZX29H+S5Z5re14+b5j5ul26mK/ujre0j5u20bc6udjmd9YXh4msGR0Ce++Yj51l+9rmc+52dP9s5b55KajlnG6PqllPtzMJnNfl1zs3cuz9i/Z9AdZMP8qf96ZB3G0PoVlPjVS5CzzOVLPxT5u9n2HM0zqZl+gj2W+j5BfNIE7SzHPMCks5pklIeNqH5K7nnILbgXobG90WEcSgqBfEDGfjlWm1nBqdacuc37df6fTpE1jmffl5I5Xssz7tpe/naj49et03zDKg9Qj18ZM8e5yaY97Scz7NmBf63zn8E/isufFfKnjodR5UdqeppU6XXLHGfedq2cq4lMxn46ZLw0xoNtXVsa7xafz3afbuvJuxM1+o0J6aYW4UWURsG0s85qkL/i7a57kxLwhQ+x6KZ8xYr64LVto8ukieSGMFfNpj63Oe+PRce5UYJdc+LvG4k8i5rvKErLxgvTTKYoq/gCAJJFCw2VU+WZdn0sckX+gLZronbWYL1nncyNQme0Pi3lmCaAv4MzTvneX5QI2jjrbD+QlzmwrSi/hXBt2XBld23NQMe07JlJB32WZH1dmapkH4gB4NF9XWak3ABXfJct8KubX1ycT8/QaUBG9mWI+jZA/rWV+oUV7KfL7uH1mIeZLx5rHmPlUzJfytKzXm+Rmv8jvlpYqIWKeduZn91sAMb8RU2rub0+XuV3AMAyBxTyzpBTEvF/OmUa7zKRbRbYNRhoqdHupx13UzeXQNaBd41APAVRJQxfID9TfGDk3+5Jr+7Ru9tTi7tentcxTj01aR2odL1nm07r5fLkAcV23nI/n1McyT63y9NZOt/t65Nzsc1RVuWxaB3qtuuIA+HV6fasKOPHEbjf7VKDTb79MPTN8ILxxYn5lpT2lXpeYp679ni4xPU5oTyPE030WVsx3CfBx4nwRxfy4cru2++UeAb42RB8xX3J3L4n5vgHwfIcD/e5zXDWMt0du9uRhm7rQt8S8RluMuweVSR90myXmF7BNsQ3Q7s/tb4VJXOy9m73WWKg/z1ZY5pmdA4t5ZglJX6gGkbv9MtFZZW0/acChVgCiUgPPYB7CnelPnxd0H8u8b/P2EfN02zgxnwr5PmJ+HLkhq2knDFC20ueGP9D0VLSXxsz7Y00i5tNyPDlBPQvLfG7/WYn5hWY7innvYky39bLMa0SR6gFAVYimMwPa+TYi5n3ZGxHzfY9bHDOv+4v5if2wZy3mmXkTYu04Yb7R8fKL1hyclZhnmBws5pklJCPmgeV82nW1KYRpxDrQX8wvAPOwzKd507HvfSzztKc/vV1om7LLMi9E3jKfjp0vQcerp8anScbM9xXzJUE/zuqf1itXp9x6rm1O4x/kxHKXZb7vNHqzFPO0nl1/z0W2zHfuN8mjsiigJ7T+jxtf3mf/RRDzuWXvZp+KeT1MxHxGoBvdTNPm0XU7r09bNDGfG3+dFfMF02JxOSfm0+UcXYJ/GjFPg8l4DwG6LecVgObBkT7Ucw/r6HDCetuFdeKR56eTG/f3omkll/0FaSswDLNxNkXMv/jFL8bBgwez237t134N7373u6O0I0eO4Nprr8Wtt96KRx99FE960pPwkpe8BFdffTX27NmzGVVmFpbci9r5U0Xv/iVxs8+2KXxDSDftBwDQGTd7IVG2zGsArnE7R/fPXGC8VIzPQ8z32TcV7jm3NErJnS3NkxPztJ59yInkScbMl7b3dbfr29u/WX1kJTGf/p1zeXJlUdd8Sl8xX1qn6el4fM9GLPNp2rzF/MKMre/jmt8l5lNLeKnMjY6Z7yvm9RDQo1g85cQ80BbUOTGvhv3EfHROWyzmjW5uxNzDrWSZj1zqgVhE05diGrVVkH23WMyH62EQDwPoMdY9ulbkb9El0CcV8zuMrbb1sJs9M082zTK/d+9eXHHFFa30ZzzjGdH6sWPH8JrXvAb33nsvLrzwQlxyySW477778LGPfQxf+9rX8MlPfhK7d+/erGozC0HaI5/20udeqJmxdK1xdQuOcULdV5s2wPx30c3eW/UnVwIly2A65ZwXMj56Pc2fG98+aTT71B07tcT3tcxTL4FpLPNat/uBciJy0pfpMor5PvnTtjkQ3wvUgp5bTq9tem/M2jJPoW779HglMU+/03Rge1jmq0njbFFrdHTMxCU93dZHzJce4bMQ86Vy031KYl6ttS3SVChTYZUK4Jx47hJnfcV8un9peakE32Zb5vuU23WMCR/quTyTivklDo6ntbvKpEPWz46Tfuq6WR7peIaYWiF6Xmy1yJ2VmPfvMz+17VafF7MYbJqYP/nkk3H11VePzXfDDTfg3nvvxZVXXol3vOMdIf2aa67BddddhxtuuAFvfetb51lVZmnZLk810ggwAs3UNcmLvORmH73wTdLIHW+G6yvmu6asWyTLfM6DcxLL/DKQE9zzEvN9OhzS69jXWyH390yj45fGzNPAeqUOn1x5FBpYj5ZXEvP0+DTdp41GTVrfueqHw8aSn5v+cZwl3W/PeQ0EDwGTrCPvOQDkxbwvI1uX1KjqSYyNUXmyvU+rbFNIZ/qxETGfvndyaSXLPO1JjcpMe06p+E1votQiPq1lPt1/XFq6vY+YnwHTiHldozi1nIcaAjqnm0u2j8sLNJ4ownkC0qnpgGbdNVma5fhbGN/kqSBQhXVh3DKqYL5JP1I0fyGZ2HgMAG344cFsTxZqzLwxBrfccgt2796Nt7zlLdG2N7zhDfjEJz6BT33qU7j66qshFtFlmpkTXZb57UhyvgaLOURgziyKmM/l7RKnkwjXnFBOx6t3/em3wjI/7vyoV8O4fVLrdyragf6Wec9GxDytS2k9TS9tp3WehJyAT5e3TNAGS7VbzmqigpW9z5zsUVqu3Ew63X+rLPOT0iWMc+s0bSss811iPleHPmI+vN9Es0zTi2PmkSyn9GkjzFPM77x39VYR2gDJe73U6byVHfTzdrNndjabJuaHwyE+85nP4Ac/+AFOPvlknH/++fjpn/7pKM8DDzyARx55BBdddFHLlX7Xrl149rOfjb/5m7/Bgw8+iDPPPHOzqs4wUzOuqZduV1piqH1LXSKyOEjXC+7H1GsJKAklJJTxakja/bQEjIDy+7tkZdwxhfuWNnqsPwQADEdxnbyFz7uz5dzsR2Sf1HUeGO9m38cyzzB9KXmCpNtz+3VtL+WfdnuOPmJ+0nJabIWVexnEfCkwX1RmRhQLYhn1dLnZp980AJ4fxz5NALxUhOcC0dHlrjHzdP+uMfNhWFepd9QftyDmURLzaV6VrANly3zueGl5fdLSslMPgdIQPzquPz4f1YrvkzmkJokCgDT2HpPkQ6vl1+nHkLzI5M11AKVlAPGxSnkBqFpB1Zl6AIBUYV0pQNUAjArL4Tu9VZyFnmGYbjZNzD/66KP4rd/6rSjt537u5/Bf/st/wamnngoAePDBBwGgKNTPOOOMkI/F/E6l1DvuGwWe9CWfLi8yuWA5pFEkiJiHRGue+aiR5eebh3VrMwpNo8g3fpPDl9ZNkr/U9ioYVkTyAdwy2n+trrSu9dK+/Zm+4bDsY+apF0Apov44T4F0X7/PNG72nmks836fLst8OpbeHyMdM+9d71OCVV6osiXfZNKSMlKGcrybfeeUeO6Yqk7SfX28VZ2uk7q2l3uMZU/Xc/vQcfLpmHlk9qH30bgx9TMT8wVR22XVBhpRnIrncaKbinnPRsR81/nMRcyPMQ8aKn67xDzdXnq/97HMdx0vzdcnDYjfJpOI+VI90n0y+0enSh/KhSj3/luSJn2XSz7Qvr98Gbly+uCnWSxtC8v+Qzrncp9W/jH5ssfNlDMpcwwezDCzYlPE/GWXXYYLLrgAZ511FlZXV/Hd734XH/zgB3HbbbfhzW9+M2666SYIIXD48GEAKEas9+k+X45TTjkFsuTzuEDs27cP0Mp+6hOA9dp+BoftQ3Zd2c/qCKhOAuo1YIhmgLJvaY4ErDgzaISfJt/0qUcftLPyy5mlf0/6Ulsh6QL2/AaAcK3rVHnkVMYWR7NXqn3MqIGevPuUlBj6cV0Cts7CiXas2pdstWq3V6tAtQold0OZgd02OAHYdQIw2AWs7IIyq8DqyYBcBVb3QJlVKJwIiApKnAjIVSjvCeBeWsNR/PJaWWnqffLJ+7KWeZ/HrwsZiyW/3tcyDwDSVYOKK5pXjWyQm1IAPBo8p+/UdNpU2QB4Kbk0f3v1Fa4rK7HwHudm3zU1HT2+/2n4fbtu+9KUdJOI+fRxm9tO74/S1HQlN3svXoVo8nmBTYU2HeMuhF0fDoGVlX3R32QwsMfICWJf3gknNPm6xPzqKiBlWczTOhXHnieceGJbzKfLXWLebzvxxPZxmjHztrDV1fyY+dVVsq9si187xl1FZQVKAfDUCXGeqLy2WK8yYr547ptqmS8s68SlSVcTiHn6nrICe9+eXXF5SpTL7CO4dNVeFrIpMzrvnJiv2uWMq4PRwPpKOx1oP/C6xjUZE784/fbcAyv82LsE+zRi3veUyWRbQcyfMIjr6lCoxrdL6ANFCPsy9CLbf1IRT7+FtO0DnzeUO4jztk5VxuX4ffqMmTcK+/aehGi8vBfCcjWsh4C51YlQCpCwacfXK6xUwLGj9grWdQVRVZCygtaA0hWkBAxW4+lUZWUvUV1hCADGvsftsZt71fj0ialgZuAdMGs3e3rrr662t/c97izo08bIpfvbvGt/+rz3bYmK/IRWVuz5n3SSfW+fdFL82bcPOOUU+71nj81L342A02NLzqaI+auuuipaf+Yzn4nrr78er3nNa3DgwAF86Utfwote9KKZHOvQoUMzKWee7Nu3D4899ljT8FDHgfXH7OfYUSfmj9rP2lGII0edQhnCCneFRpiP0Ih5r562h5hvHqBUzLunmkpc0DP7t9O2QMxn00Rxu9ISw9CA9CLeuJw1gAoQrtEoRoBch4KCwgDAAKhGwC4BDBSwoqDMOrCq7ct0sBaLebPaS8wfP26//X2bE/PrNJp9Daytx2J+bc2K76yYzwhyvw9QFvNUtBtU7XR/q5DyjXHt0kx7MS/mq7mJ+fX15j7Y7mJ+bc20tqftWS/m08bKYNAI6y4xT7/r2m476aR9OHz4sayYz1nmfXnr6xOI+Q7LfJ8geilHj8adGz5fGl8gxQvdqcS8F+aOSMyLRHhXyT69xfzxOA8tMyfm6WNoajFfEJglJrXMU3KW9Ckt8/v2nojHDiVGi3ptcst8qX6TWubpPvTH1MMyL8x6oUKTWuYzbvbeah3NVNNHsG9EzKf3dl7Mm7XEPcehUCX75B7QaYeBa+8I2TwA0mB2Wyzm9z3hFDx2+Hic7verdhXF/KHHnZhfq3DkCHDoqJuFUVcYqQrDYYVjx4CjxyoMh8Dx9dU4qn1d2TaEqUI0e20qKBWLeW2q6cR80ikwLbMS82kAYhvRX+wYMb+6aqB1e5+jR50hSdjlqrLnTt/jo5F9t/m2JUD02ALTp7NhywLgSSlx2WWX4cCBA7j77rvxohe9CHv37gVg55nP4dN9PoZhtj9dAe+ClT3Nl7YxSRtumgB4uXwlJnGzT487jZv9RhxOpgmAN2kZfQP0pMEKaXrqfp/r/Cntk+7rO4ByYh5oOglK4+3T43T1EU4zZj53ntOU1WfMfMizCQ2+IjkRDsR1Msp2AOQMoVEZibDdSjHvx8FP42avqjjN5+36jKNrqEDpvKO0zAOxl5v9uJsrFdglMW+S9b7lTbqtq9w+5zPuWH32p9ffd+gjudZj7u3cvdEVX6GrnD50DveYwM3eFaU1UI+azvnsRwG1e99Tjzu/TtEufWJmZAOalZhP40ly8DsG2OJo9r634bgz/fkx8Q888EA2vx9T7/MxO5FJX6jLRqI8O1DatmwV+dip7ASg7bLyFgsJQCcB8Aw2FgDP5UuFkSIv25BGXOK9NZ7umxNnqdjqtsyTdDW+jcnkGSfWc9vTRlOuc4HmKVnm0/np03JSK3U6NVxqmdfauuANh/Hx+0SzL43TT/NJad3BDdmuM5bz0sivrvRJLfNpZP3cVHPp1HRhm+mYmi75O9Ay0rIAIDc1XVUhGDR5ajmGWXBmLuZpef5TFvNxvvSjsvlb7/xMx/hUbYFx+/QcUz9rN/uuUSnMzmNLxfw3v/lNAMD+/fsB2MB3p59+Ou6++24cO3Ysimi/vr6Ou+66C6effjqLecYx3yfYmLBPPctoKxtF6t1ys4exIhuwglsj9rhD8+RWrqtZ+f18ecYAI/tR0LbrugIwmE7MH3cuSScct8tUTANOvJMTsW5fsRgfjiYfM5/Ok50T85FlnvZc0xf7ZF6hYy3zJtPrDzTic16W+dRtnrrS0+On2/oErEvzTOJmP+4YpfPqK+bTa+P/5vMQ89SVn1rmu1zkKxFvr6SKhhrTvLky0m1K2s4BI5p72ghikXHDnEtledd+GgAvNXqGcfBpAznNb0uKD9RqVPcIgEfzccNzcSgGSfN/JN1Om8QyP7bjnW7TJC3dx8R1CdtzQ+y6OsP7bEuhxxh3Pn2OlbrzjBse6Mvw4818Fv/gN4DQebf7EqVtG5pn3gVozJUR1jWy88ybKrq0vk1R1846PwKG6/ZZPhoqjIbWZXqkvEt9E07K34qteER6Ssv8OHpa7jci5ul2tsgzOeYu5r/zne/g9NNPx8knnxyl33XXXfjoRz+K1dVVvOQlLwEACCFw+eWX47rrrsN1112Hd7zjHSH/9ddfj0OHDuEtb3kLzzHP7BjiF1LcHa20AaQhQt4ue4EPQ8S9tG86ZewIeyvmFSAVlHbWdi/mE4u4F9XHjykM11Vo93kBn5uGbpiMmffifjoxX2Xz+uMb465KQcynoq2vmF9ETCKSuizpszqPcZb5PvubZKolY9BuzyZinrah6d8Xsgp/12nc2Lc7/ppM7WZvVNwRICYU87og5hXtQEiCyGXGzLfd7IlFjqYDsSjtsiom21teArn8QnaX6dnImHm6bymavRrmy+yqU6l+0bJq/7Bz7jHjxHxRIPcV80mPU2c5C/yQZqZGkef62I9t6uQt8oUO5K18t89azDMMZe5i/gtf+AJuuOEGPP/5z8f+/fuxurqK+++/H7fffjuklPid3/kd/ORP/mTIf+WVV+Jv//ZvccMNN+Dee+/F05/+dNx333247bbbcO655+LKK6+cd5UZhtkmZK3ChfRi/gkbBfOyzPc91jRlzNIy38fNfhLLfOrxIMg+dZ23zOeGYnhKUfNpPbe2o6CHT1CXbsoZBFOdlE5NF005mVjp52GZT8V8nzHzuXnm+7oAMwzDMMw2Ze5i/rnPfS6++93v4u///u9x5513Yjgc4olPfCL+xb/4F3jd616H8847L8q/e/du3HjjjfjgBz+IL37xi7jzzjtx2mmn4XWvex2uuuqqyPWeYbaSPm74+Wj2ZDlplCtD0rxl3bdXiegILvXafg81GTdfCSjTWO2hnWW+LlvmaSCvdKz6ugtGfLRSWF9Tvdzs19diN9/RFG72o5ybvUrc6d11alnm3bq10pfECNCaciYRC5FF2KfNqGdcUNO0fiQcOxLDLfGsYpFr2qJXoJ3WJj7vLjGfisJJxbwAYOjNQC3z8v+L8nZ1aBjyu/DLpRkqjbH3VVXZ+7evmM9NdZfmoWmrq3aattjNPh/NPtpXNOnpNt9BkUbIp/UdZN7cUsT70W/v4VMpN+ad1jcdM2/6jZlfLcw4Npbc9HG9xLxp/yD7BPyKyky3p3XL5E/Tc/Nz59I3YpkvBaXbSBC8yBqv4+VJLPNRL1fag4TMcg8XEVtwUmaaLxPNvnMmm0kf1OPy03NdEu/QaQPgUbzrfMpUbvaSuNkPGzd7/zEI242qoEYVdF1B14AaVTb2zrAKwe/grfQK0Kpq+vtMBZ1Gs9dd0ey7x7133hnRrVAuZ1aW+TQAHsMAmyDmL7jgAlxwwQUT7bN37168853vxDvf+c451YpZbnIvexTSxo1Nmzdjjplrs2Tr7HyNhUYzBaF/cfi3I8NM+JL3Aiq9TTss86VplXP7Au7XqlW0PZSTuHD38pgwzc8m+rnQn4rLo7WCVioW8+nQ15YOWYIIbbmp30rnlaZtuWV+WjGvM89Hhtl5RMPvfO+tsEFvm95VkuYxJI/J/I6iCdxFnJbNi/Bz9GPWQ1ruvSBIPrKPH+qn3HO+l4s9yu8LhtlpbGkAPIbZqSgt3Xc73W6zakcpEb8QJQAYZ8G3rWoFA6VNM2Y+fPtmuLfcZCzzRtkXIxkzn3bYB6u5UlYc6TTd7e8ozRBVMlBpXWUt88vGpGPa5uVmPxE99p92zDyHNmF60UvMkx9IJE7mZJmn36mlvK9lfkNT0620p6bzls+pLfO6vNzHMt9s7D4OwzAMs6mwmGeYJUNp4cS87epWEDbNu9kLEW0LnQE6jmZP3dWpm30a8TUdR9wS87rdNuxKS8vIlZkuh7xE8KaW2mXtoU8D+PQZo+6/6facIWWsoC602WcxZp6mFcfMZ+qc+zvm9IYvJwcNfuj39XnrOl5Py5CmPdSkayo4k7jEp+u5/bvc7IXMu9lTdOnvWrjmLdw50wB4PGXcglCMMD/OzX6Cnr9MT2LiIxN9IbctWm+5t4RlMZcAeBuHb/fFwlvo+wa+88OtWh+UO8anbSPM4s6be8c8s6NhMc9scxb1CVmql0k+NK/3o/XurbVrvA/R+C1XgBnaZS0BDNxYNQPIo26bAkwFYBXQq81YNVPBTheTNHPCUMYTAH28WaeRsNNhlInnv9DtT5NeRet0H7tQhbPPeXPbce+0ztxMY5je0OByYZ1myFjMvTuOcPkpeoiWGz0AqOPNuiZWZ60AmROvdNk4q7R/zvn0OVjmafT6SSzzLZemjjHzvoxSmX7fXN1b5Sa9gCVVUOwp1ciLZyA/pCHtJSq9r/xy4Xq18upMGs2X653qGjM/KV3vZH8MX4+u4Xv+TaXJPn2O010vpV250nbmkxcgQhh3bey7Xrj7QRjbO+mRbj1ND1U38YemAYinq4vd8ZXynoQZV300651u9pOIeYZhAizmmSUhFbklS8CiUWpkjGk4+BexqVwRBoB0m7W1whsFGOHmpidu9lo1we2MAKCce34FZUYwpoLBKjQUIKybvaGW+cxMUwBgVDz+OLKuqzi/VnF7scvbtBSTp9SznrZZqYUeQKuZZZPHC/ysZbyjHl3l9IHWf5Hd7BeZPpb53H1T+ht6D5W+0ey1zjflo/KSZTpvvZSNlT7UHd2WeUnnmSeiWSYWfUGOQQPxaQkoH6vAuDnnEzEfBchL4hrYAHr2R/7IIyL60VaVO8FEUFcVAKXdvjpujWuDSrb/IJGngLEt+KoyqAbk5HLjgdM0SrK9PTVdM55YqXj9//sJX9/mvOJ9k3VVsKADzc2QroddNVSdc03SzfVNhfzYcT6ld2b6Pk23d5VD9086WhhmQjRg+yTGiXmXr8sqz5Z5ZifBYp5ZMnJifsnIKUS6Mbx13MeIRtAbEt2LYTJM1CiY8D6apsHR2UmRKa9LoPetxzgxH1Oe7SBKax3EfxJLdiSMk7y55Va5uSnY0uP6OndECu88djJNXMsav8nk3MRNut3/MTdpzLxJ13U7T27fXH3GjZkfV89seRk1kz2p3MnOS8z3KXtcnUo/tp2DynSKhF+6drPZGGL1hrSfEEFeAko2Y3Yc//e492KTgMx1cMvkg6ZcILbMQzTHAnDosMSPD1ftegC210zY/EoBwxrWw0ADh4YCWgusDwVGx4DHDwGHDwPDocDxNYFRLXDsmM1nNDCqbUebf74rZdOVFsHBRRkByeqG2UHw7c4wGyT34g3bMm0QZUR4EbenphPtqemo0UM009cpDUBYa/ywRrDQo0KYkk4bA1QmePwZY+363o4PDJsAdMK62dd1/JKvR/57iHo0DEYkP9tYmCbGn8PITVc3ImXUXVPTkQB45Ho0hqkqbLPirAr7AhmRRsZeZ2M70bYw3SCqhbTMp2njxsyny92VyOcv7U+PV8qb1kdK4MiRQXa7cfOe5cbMl89HhCnpuuIDSOmmRFQiuo6+bdscR0T7CCGwth5bw0vBnK2lWUR5Tzu1PXUcnVquZZlPx9PXgBKxxT6qS0/LvCTXhXrO2Dwq1EkKO9Gld3MF4mklS5b51RWFI8ec54/fJoGqmTgzdBRUEoAeNtsNOYBRqFAjdaP23gGVhPvB1qikQVV5EeHS6XKHmLdT8CXbNUkn5alaO8u8Dm72aujOySuG1DW+ZZkftusULPGqWRey5Q6lRjXUKOMi5T+0s7dTTEcFRMtVlL6RHsAu8T47MZ/vtpqlyB9XVq6Xryu3femm9VbJ/rnzigPjGpfmPFhgXJwcWo5uvsN4NB1PbQvgODK7bATyjNp1HDiejqjw20mAXaWBoVtXGhj5fWp7a3vX+9Qan+27yvRhbcQCzzDLCot5ZklZkqd1sZomvz3bSEsjgwnyJsv4+Y6tkILAcdvQFhUEKhck3/bay8QlPfTPmxMgSXMgiCMTD78zpp0W1t1HkhewNFW2HRfyuDHzMModsxlDDwBC2Ho3u1ZxUQKg88kL4QKXmSZdG19GFa64TwM5Zih4EsNVEfqH65qLeXsxzsLepyHWN0+XF3LXsfs2CHNu9n0DOi4kdMq6gE2jwfIgFZRQbhxvW65EYh7K6UXtBIRGKiwBMka8Nfac5NEGNvqfJBvpcq5s9+19c+l2ZezuuTHyfj9/LeppxbzJiHkyZj46nt93UIhmr9CIb/rQ7CPmc8KZ7p9n2ieTn5VFdw5xoscVmbQmX3c9OizZBdq1GveDr9C8j7vHzFcQ7t2SE/My7LMqVV7MJ+XBB7N1wz6Gte34r6RxRbk8xlnD3beKLOzAsHZ1L003l51XLl3O5bVlD2taNu2h9fnsTDxD18vg+8ugGyFfjO0YPtZ84tOEaxcIk9Y4/numf7VlQZv4TuWOCiYHi3mGWXaC5Sf5+DT/pgtKxTcsC82douFlQndcki9tIqTNhFJTAdG6ym5PRXy5PtS1OK4f7TPZPKi7cMa1Gpl1ZPp0+ly8CelydZ/UMl+CTnU8iWW+K4p9WtdcNHu6Pa1vHzEfNc8NYHRsazNatb2oybJfD+lpvV1gucibPCzY+8R4a7kinWtVXG+vF6VEHP1eAxAKqJwUrpzgFmh+I5G2HLbTXEwOO+wneY4IOs1cUrYgaaE+NRBZ5slFA4KV0ebxN7wXKbRSvoycmDeZNJce/XG8eNftvFO72WfE/LRu9kVL/LRiPvcw7Nqva90Lbrvul3WnCdjl1ZnpIhIm7VSYXMyPe2j67RLdD1sv5m2+dj2a/ZWzsqcM3fWoZHPtqJeedbNH8LgLeej7QCbrINek9CfPvUt6ojStY/I3l02nW8gH309nO9oEabb46W29vYJa4Y17tgh3KCnc89c1JExIN9EzfFHFvBfrfYaXlfKxwGdYzDPMQuNfTUTpaPfG0tpZlWr4nnhgCOgVu73yvr0D2+iWNaAleYn7qPcgjQIJqKSZE9zgJFAfatq3SXvdQ5vaNA3IN7WV7rbMG7Nq16Gccc3Xr7JNJWMt6iLpwRa+AQDbvPICIxjoDACsurw2ur8wFbnaFbHoN2VP2vQtUTkVaQAIebx7bHkGIWxDoK+bfdrD36BC/nKe6ekckuDdi0lLKx0u0VqW/Rs0WitorbrFvLt5hWsdCuISb0nuK/8tmp8jnYVhOGxb5ktT1WXd7GVmH2IVl5JoZdPk8+77ft27+rfO24l7rxP8pR+iaYMPyRAZ7+6uyO++Es4dNuSzgl9LQEUPBGtJtlewRiWASnjx7qlRYYRUeIdfngAq4cS8pGIeaCzzxh6rJYKpKM8IdGky4t251Zs4r1pLrOo5y7zRqCrSm1Jy+2/tm/yR6qptmW95Hkwq5tOycvumiMy2sphvb+/7tJy0/otPLqqFHyIX1oUgY98bhu7PQ588Sje/xaF/ahkBZdw4dUgoVKEtoHRlO0lEU8qxIRkzj+TBA5B08kBOo9IHRBDPgL2jjpUmekiXXT8gNKDW7L5ra/azvgasrzt3/KEdXz8krvelIWkMs5NhMc8sAfR1ASxeH+ukdemTv+ucyVvM+O75LuvH8hI18dKXuDeqmWY7QK6Sz08La6VTK6vKlpdtu85AzQtyH+TsN0AP6zb6G+bLRalsGSnaVFM1oIoWbtIQzM1rX7TMu79fa/ajtL7ajhv3wZJKbvapOBem2/rfyp/UIS/m478vHVPfmsPeqKzIp9tQqXjd1Yfu52NW+CEl4XgCEKI5hhbKer0IwDhfehUd26XpZtlKduVM/jb2BuD6GKMx2N4tHM23THr/oFDJGvkfjrOUC+06LUtiHm57yTJfEPPGEMs/KS9cMJLXdzxRMU8DgkU+wXQ9Z90fI5CNbqcVRfu4BxIzX0rX3noq0PHvyggMFbHsG4Oh6zxXxH0mtszbp7zSFapKQhmJYS1DJ8BQVfDB5oKwF3Y5FfP1egUjfJ58ADwTxDwJgOeX0wB4wQMBqHdJ1EMSPC8EwYPrFPe9jnBi3gauW1u3P4e1dfvs9KJeadupONT2E8bOE0Gf/gn8ez0r+DfwM5nFr2uc5b2vZZ5hcrCYZ5g54Hvfc73uIXgd2oFuhrVwL3IDQLrl2K1PaYGhdi9/4ZrStf02ACA0DDSM1jBGA5UGhIJRA2hjYIIbq91fa+FEh+0qT6dEChFiR8eh61ErAJ6q44BZGtaopIh1z7g83u2Z5hdm5IJHy3jGKp2Kee/i78fQV4CzzNux7UnjJOzsx9Mn44FpfqcR+oytHmcV6PvyjcrfwAt70uNNm2ce1pCpXAYnqMekdY7dOfuX34h5hbpud8zIJIhc5IGSWubRIebdtsYdXkWWfF0Q8/R42gXA850dwijn4WI9GVwlmiPqxq01/IaEgtIKGsLtax8Kwvj/6AD7VBjnBHdOvJJ90mj2ocdOx8tdY+b7iPkgvDNivq9rvDE2vkCYoi9Xn2hHpOeuao3ULp/SuKan+/e74ZvIIl0PINEK2JbvZLDfkZt9GDPfvpFTGWnzZjqrO4/rypK5a7q1+O4qpQXp/rLv/ujvagSG8S8LQJOniQ5jy6mUDyBnQhtjqJu/oSJ/T+OXyYNMKHI/pnNiUnpFUI17MVWtIUqBQajrkrH9Yhqyed5qA6OUfayZppM694FQsWlDqDAk33g3ewGsr1UwSbtJZ9pj4Vw6zrO8X7yv6Sin9D7xZY/bzjBdsJhnlgxr+1kky3x2GpkuMa+JmI+2GChot499oykfYUs0PeV+nJ0fn6ZQQ2kJgzUYrQFp7GtdaxjTuNprWcNoCe9ars0AEMKJeV++aQ82dKJAjw4DI03c7N251a797hAKkLWAJIJd1c6t131o+8uHFTJaR+VUvs2MNb9g418ZW6Fa++4Ht80fv7mckJp2Brjz8LcQrbMBjBCQ3s1eAN5939a1agSZax+VXNL7asdKD5p6eUNNz31DveHdJvOWbDMujgAA6mY/jnBtaB061se57W+GmE9nPUiPQy3twunErmB1ND8yy3XG1bSr3ZyK9kGPP5ntx1MAGa+fPhVpgHStmhVh7EbhxL8Wys01T3ai5y8b+eEt91pay7xWAgI6XDDrNUB/XLW9ngKAqdGMy6ceMcYNoEkuuoAVwyFAnWvp++k5/fMqcqEpCVvyI0uf19oHJQsnjCBMSVHDoX+AZCyWjtBtqPxxUi+yfj80pfK+OgoCPgCC0j1/tFlErydDyWeoPGDH7gM01mWt27mr5EkXj5kfL+b7CPiuWWamI/07dj+ElHTv6tAWcOLeu9DL3P2aI3M/+04tWzIaDxX/HveB8Cr7Qm4VJQvOfK4+gvQACk0s8snvxND1xAuFXq7gQUjrYBrlbfw50V+Nyv6C2g0U8mwj3/TO7fceZJjlhcU8s5S0rQXzOEa/7flGV/c2X/94ajo7tZzyPe3CLfswrU7petc9pY0d4q6tSLd7SUC7qOyycuLdNaL1EIK8jGVo/vuP3xa/On10e2FiG0vl8qV/CSuw01iy9Egi6sGmTRp65Ips9wXQF7umBjo0I2dpmkjyhPplxLMRBjoJ5hU32SYNwdSNFO3rN+ldTfPnxXwf1EQCfGydTH55XN6++5TEfJpmBar9eMszQDqegpi3f9cqWHwqSEM7qMhMCGQ8uP9JxoEZFYyu7cxrhgTCS9zso2tEflRSwJrfSkNa4baFKPHHQ5t8MEDwbDWoYPyYeY0QNAog/YLOmcXUCkYOo+BSdEi7CVY1A0N6xJTR0CMn5oPIQBgfb9eVvUgSgFZ2Sj2dCHejoUQiBODP3/Xghe0m/lG7cqqw3GWZT9PQ1LtliV+czuJFJxowodvLOtvpkMizMWLedlxQMS+S5UynebnKdr8x29vEUjFbT5K3ho0u72c0tO9qYKibN+GqtJ0eSsvo2h2vJYwWEKTTwugKAjbdOnzQ+jg3e+UeApCAGcCYCoY089WajwMjkW/+ezd76ikhCmLe/g79u1ycIKCG9rxMIsO1IO9818GqYc9jOLLra2uNm/36OqCMwbpSNqxl6JCtGk822q9BP5mzYpjtDot5ZgnZ3Md1qYc/CPaMsmjmkTct63zZMg8Mjf0AAIxzt0s675UbQ6a0cVYlA4PaWbdhFYG2H0F754Xtvdeu0Wxf8sI1Dhoxn7aphbOsmHoVQg8hXCOi+ZagWsW2uyUMGXhrvPFAN3ULaBeHKrI2ZMRucpmliJtU1KqvQ29/s2u4rG7FGwNAvkNrwFkSDWrXvhfxAbxFYSM4y3xUyoS3tjEV8mMf4cquMss0sB+QWjaE89woldV0jmzc2iGIMG5vKy+nn3LZCrEAb/+agwWHTn0YZYqDHzau5v6+isd/K+VFvAq/cyHi4+as94C9p+uRcvPd53LYbYPKd1A0xx4M7P5S2np5N3shgcGgyRfmoxcVVlcUqoFCJRQGK4B2Q2xWd9E6Gec9YCCEsZ7tQmNQGQzXjO22cw8NWQlIqd1QAQN7/a2YFxhBKgMtR4gD4BmsYR1eSPunRuUeaJU0qFw0exfqEk1vh32m2fnrm2j2oZOURKmvwuOoecBVMDaYX/QMt0JGJXmHwdXBj5lXoOKm8rEAlHGWfjrUAJnlMkq13zt2bnHA35yl91Jfi/sEXX2ZVNLFSZ7lkZu9W+zjBF96CjTD0Yh4z9XbbY6Cy4055vRivnzdSDefE/MiBLMDUjFv8w61sEPn6uZeUiMZGduFFE7Mu865mljFR/a3YPyYeSfmjbG9dfQ5rYZUzOcm5yuI+QwGAIhIH0iD0brdYuB7Q+210jAhn/eW0sI+vryYHw7tp66t150yQG0MauuT3wj1dEad0qw8rfda+V0xqxal/VWxFwCz+bCYZxaI9JGaW+96JLfZiC1VhUaTidJCA8MlH0+jvyNuhATR76wP1tVORvk8w3pAXuoCIz0Iy03MJ2GnXPYvey2ga+durSsYKdx4c4G6FkBlYIRxoqMZ32pNd42bvSmI+fWhC9AzAurhWrC0+AZWXcu4ba7teDVqkamVCOPhtRHQVOgbCWMEgGHsxKcrt4+/BtoJaD9m3uUmPfXeGh/13ie3kXdrFyCCiZjtDU2H73fIve432ARIx1FPU0T4L2+ZT/OaXlb3fvXqEuJNnq6OBgD64fYG6kKBzLKummmLyeOgHbVdweBxmPpxAF6oq+a2CcdxEkTY34cXw1SFpLIqJAqy7rcNhu37C/HdYqpTWqct/LGNHQNKY03RDgdBXdkNOYayPw/j6i8q37kHO427//0RL1xV23xCKJiBhnE/UqOMtbgbAEJDS+PEefMUVlJDrBlXN3uxhBTAQANmCEgDYWprSJcGAkNgYADhRXd4oAFqDX58ua2fsd9GY2QMpB0bQLqhyL6QqHQi5sOVI5b58Dxqjm07CmzHaNPVRcW8R2Io099FIub1CBUUKunfHY1HQ0PepaRKfkRqNEI6A7kdXmVCufHQgKjAQvqkeUp5Mw/VXD6ySoUqANKxYrHvw7bsz4v5xisMYbndwTFvy3zOO7CZCs6K+WEtcLxudtMabniaLWutcu9qI2Bq8jAboulEhrC/ae1eeVoAtfe6g51lxolwo5tI9QYVlI7HjdfHhPOay7ejjN9GLemlZ1jyvaKsRT3cHck71JC9rWVeA9q2DZQGRiOB0RBYHwLrtk8MIwNoY6P8CKHcZBaJl1NmajoAzZR1IV/rdANqDrO4MMxmwmKeWVgEjmdTm//7lDG99TS8uklDQsBaoqPt2RlrZfimFmz/LVyjWSTtF6HTl6x3hSdW68hHF4id+g2EMe68pa2HnwNGEL/bULaEcP8Kfr22UQ9AYACBUbimwvhv2XrLS6Ojt6c0gtRfBNd9m921gExsrpTG9+oD3grX1NVdW9hzFYKMGRbEhtJuj2TviPC3zIiw3A5dTeG+zWSZ/PGlQEuQjsMYHRo3dHq50hj4tAFmUQW3/LQ5TOIJELrH23eIeVLfSaBB53Lz04fy4aal00NEYt7bDzNiXrh8Jvwc0mtABpCIdgNRALajTcYdLSlCPI72QBSEuaO9Y0lUrj9/J/QrAQhjrBc6YN3mBWCc6KZDu03VzLksnFi2AkFb8S0VDDSgDbQWUFDhd2+EtbJrYSCldPXT9uG15k4Y2ooJJ+aNGdp6+HHy0gBOzNu/VyLmBzVCMIvoMWTddrwvkZbGahfvzqPdstBARToJgo72V04mfyx3EGnco4VcbemsktHPU2LgnuOVNFG6p3LW/0pay3zbglz+cafiVgKZt19imff1Ecp2CGQ8D8o0T4ImaNq4vPl11Vp2lnnfeaRNW/gmVVQ6f/woUGyp7wKko5yK+THP0rQDZTx+IBcQ3slpPdyrTGmJWlYYahHFrrDRYYnVW8H+UI0AalKhoWg82XxHvnvBaT2ArgfQrldSDyW0riCkgHKu9QBgdGVnICHP4OHRynWJjbHMF8W8IMt2o08bKWC4Jpu7qSXmybp2p6eB2gf1cxb5obaheZSxP8vgPq+NC4Krov6kMDSIvtxM3B2XMwOxBZ3ZTrCYZ5gCvrEUN1YaR12V5MvuSwLe0O+Sm713DG6gwj1VLY3Atx5txrp+CgNpJIyU1sqkAYMaJoh5Z4H37nbO7T1Y5pM2inRu9pUGtD7eWLhcADyjkoayASpTBbFvk6gIF6joi9TYDgWItei4lfBz5mq3p4aECeLPYABrZ7CdCbVrpNhYAKswEG6sHpprBIT5xA29vP5tTxoJIX98OabwD8mT7j9JedGfqBVVu2OnYDmi6WmApO3VyCnNTtCy5NPvRN+ULmmuSe8DrBuEn0jIG5Z1O+6xF//SdRLo3L7u72ctVbZDzQdkD/X3j4mR21HaDjPrHk8bxwJKwLrOG2uJ107MV3LkxLwV+jDOnV5KKAUIoW0QshoAiIiWwra1zQhioJ19Eo2Yj6Z8I2JeD52grl2y6w0xTrT7fF58C2GXlb8QGs00cKRzMfpji6YcyGZMvgGaHhF37LQ3RVc4rg1ARXoyDUUlDFZhUDmB3OdXVAwkJ0XLawuIPbnCcpjjkQrNPjjR3TN3iahO5PjNmHnZc0x8uWzl1KDSEpUw0Zh5OAu0Pb5o7Vsi7UAZj9+Bviwy9RW2vnVVQdcyDl+vAVVXwTtIQkBraT/Ue2GEyIkO0gpf4c61riv462xqu7+U1r1da/93tcvUIl4PXXBcNG7vFAOfXxS2x2LePhWcrK8URmsqpEM0x9ZQ0b7Wzd56JdRG2Cj/SqAm71whbKeHfc7ZYTfSGBgMo+dzME0YOxjHB6e1bvm+rVChNvHwMRMtx7+CjcaNYZjNhsU8w2wL/Nuthm0iWGdE6VxG41e6F/MGzdg4IuaTkqVLkaghUYP6JNh0Or6O7iPIuoj2k+Qozby2iWUeJmzzYt6Qt7jdokO9fX7p0jQqCHJe251Gt+RbscXp1oiYtw2gZnx5nA/dBrzsQafIk9knW29BPiSPb8AJIEyFmCurS8w3l9B7pTS5wm7CWb9To6NOOo4y1HGhAR/uokr2FUke47zG/d9UohEn/m6vjzSeCwMJJ/qtu7yUBkJKDAYa1cAK85Fzs9daYCSdeIdpxtgDkAPtHIBs67o+LiCMgA9qKaSNxi8hUA3sc0jAYDDQgK4wGNjy/O9SOGEtJRkTEMS8X/c3riBDfUUjxv1fTQjX+Ud+71kxj6Zcn32gmntJuvLpfaMFjlf2OJW0nzCPlqMS1suhMkDwFvB1899t9xFke9hkUzaNuZIV86FPxOWTfX504eDdojd3A5v4GG3LfLysW8cQrToOU9OtL4OIeR8NvhIi46bvzsW000pMLuY95XKj81TCCvlhYqIeoenFcf1lAJo+Mbjftx9KZ2z+uq4AMUCtB1D1oOm0C2JewGAQZg9QsOn0/VfX0gnwON3TpJfEvCTL4Qlh19eA9VEVp5HTjvrGjDt1A9TGdsLUWqI2NkaHMrYzwmjRPI+174T0wTXT2lXtZePfBZV7sFeZvEBr3D0te6Jee+4EYLYGFvMMs/DkLAEi2UbzasStBO+AnrbaqCjvemNRi5ZGvF+ax681lvh0vb3Ny3WdKQOhwc9Mj3fpN0DmT51OTZefi6ESqq2JcsXFexW3NMeM85jW9rRezVR8InPrhkB9QqGChJFHwr4CKkwxaEQV0gB/jYwNIufK7vxVuHzxsZt6j/tVtcpLPsUGpQFCcClvZQfptHA9CVJZbSuEFTle9IefsDSAEXa8rnRBMLV1iwYR8zBEzK8g9LkJqaHWBITRrlMNENJ6C0toVANr7fdiXmoNPTDO6O7yu2fKirP+S+hgYZTuIhjSYWLjBbiVMLWXuygDpxBgyKOEXMT08Ud1/4CkiTR/020I2A6ckRf8kTA1OK4aN/x4XHeeIDWSx9sJJ0gccW7X8a+wuauCmz2sUlp116XKiNhs0Dh3XTst84n3gUscI1kKvWQ0ITdPZDTFYLJo/H/uZi/NM+lQ4X3ZU3jPGu8erwUa1Y34tewxmW0Kjbj322vYeDNaQNcCuoLteFuvnMu9gBFV42YvJLRJxLyqeor50vY0b9NZrocV1pSI0oKYT8rTBtCicmJeuGB30j1aTHiWhUC2LiyHNlbYR39tt6J1cxvRT8iWriPehgnWuyhlLZUx6dA6hsnBYp5htiUaMLVrzQOgka+NH89fwc5D7xod/mWbNDZ8NHsoCaHXs9Hs0+j00APErvfEFd8406Iv343bDz3uzU7O6u/WXCNOuFe+0FZENEODV9weNQw0jKlsfAJUMCRCu7eaFl+iiQrLdSN0NRP7vpvT8dYyb5xqHSeycGTyeM9jm65JBtdaFKPiQeyp2+EOhWGsrfp0C9bxnTBpzIlcV5GVPbGYLx/fh0hTkJAQOB6uQ2MNBlKrux+Q0UeAB7GdaB2vM8bFXIDJX0dBVyJy7gUmbV1HC1KY4FHeaDJjfwDCWBFv7abOEqyagaoyTD/hegFcS1jAWhuNBqoael1AGAXvIeNnxYKpYUYCYVDSQNs4GgMdxLzSjZjXbmyBDCJANp0S0h5PQNhOBad8JbHuSmiIFThLnmxulRDssxEI/lJQj4PQEhrYc81ZJUPURYkoOGFzi0vogQvcB4kR/Zv5Xh4i/EO6sWVIMg3ZijR4vHbj7yNx3txwfpy57zxYdWM6VjNKuxLpr8yg0vYptuEx87TjhJyDHyevjZ9ylV40b0m33z5AXpX0YsVu9gbQ0v5p0160ULZN99Oadwml7lgf2T2StXbhxt0jRgt7cw0FMIrFvB6KxkBsDLQPsFGjOfUa1oLvxbyC7SXz72ol3Dh60eRBc5jwnVTR+3uU/uKmx/ZWXpdYKTvWne7biPn2e0u7R03t6uU7HEP5voODYZixsJhnmJ4oLV00e9twSKPUp3nDPjpN6xgzn7oFa6DVsvcv8DSff/kJZw0Qthffj11L2vqA0dadL0SzjzeHol0jUUsFrXSIUt98oy3mraQkpVD5m5OnE7SsohMh++ZaGpOQ7lOqFmmHb4S+ojhtt0bbSuWWCi+Zi4mYD5aOzPXLNY67GsW64PJPq5Tm8Yeg5SpDOyBGYX8/PSHdz1MBGLg4DE0eHQJfNQHw7Jcvy1vkJdlGz5ta7MNwZVIUFU3U0CvdD1a732buT+Q9vyuMkm06CExvN2vGiAMGhjwOnNhTBkJIFwHau7bayPB+mItQ2s4zL6ygN8YpIGGVhICGNnY2DCUMRA2MRrY+A1FDBcFuxbwUvpdiCCGc0BcG9dDWtxbW4l5JBa3tHPVSGhjnVq7dWShdBc8A5dwJfF7p5hW3QwW0uyYKcmCga9cREPoFG1d3459Rxg3NkVa4awEr4mH1l5HaBvILbuz2itu+RhmGKcAoe84D/0BQdpZI6R7EXrg7sU7u7OaHW9kOGSOF7dBwVf6RtoHB4h4+t+yVoJaABkZ23kCsuXqsDNo/0kq2A775ddspMF7MU9HuvQDSdAgd3nNeoOtaAko20dfbRYdrXSdivnkYAUI44QsAvoPZr/p0+hLLWcEp7dFhY/D1tz+onJj3HT4GXswD4afs60RFe3hnw8Z/9adbJ2720l5Hra21vdbSjQ137/rs9B7W60aTk6zhLefZ2k8n5t16ZZpTa4l5kxHz/nIYhLHupGkSF0AO1noH+Z+ZadpObO1mdhos5pklY+ue0kq7WNghwIxPb9cp5NGNZYUGwBu6xmYq5oepcboGgqr0jUNtbG+/F5sGoRff5jDQWtto0j48NgA/htPoxkoJbcI886Z0bV1jRAttQ9YmAfBQk4YyvMYwzkrh02RYNxAw6bzORjQHAmyAreCat8vt57skmjHygrj9W6/RClLUMJBuOj4b8b6ZO1dCuOtQGVjPhHBQNEJdJA2CtF8C5QZD34bEoKNtS+kS88VDpfsQV+VcXi+cJeAspu2ikq6T4qFK29LDl/YzY7YDRHijqXtOzAvTfskVO02S5azHdVKGMDbwWYyxxm/nXOo9AQbOI8I2rk8gHgKuLOGcUYWBFEn8CKFgovveCWhy7ibUzP6VaqsS7S/A+KkhYzGvoKFNjQoKShgr3GEwcOJZQIduBCkMRrUNUmUgUEFiCCof7ANImOba+V+mDL9cH0fbwNrabdogeEm4Z2VYMhiQO88OgbB72etkwhGEgKu/JFJFWsFDrrUwVsz44RSAG+fvI/wDMMnNIIi13ki/3T2RSNQuMwDkwP1F0h8R/SGHqRzcqdHKKKCWklhfaSFE8Xg1lIyZH2nT6uUbwfVJOIK4N/3dzRW52bJj910dQ2e0v4WVFfPIiXmdfLe8CnTzJUxTRuhogfUGyIm/cWLeVncCck9FxA8eTTYZNKZwv43WUzcCVBgr3sPpKkCPSEe5dJ3uRgRXeyPQrLtfm//V2kPE6wCwboiYz/TCGvesCFPUtbYneV1+wJ6LLb+HmDdNM8I3n0ojLRiGGQ+LeYZZVmhwp9CetK9SaWoY7eZzb3xfXX6X17dKk2j2KdK1zoSuIPWoJealktGc8sIIaCOjaPbCR6x326ldwLjxfpH7t9BoglmJJg0GocUnvBuwa5UKDWAA4yLnGmgY4VvDXlrIxqpjGuuoIJczS8Ya0NJwpKw+tNqZJXNIF+PMJySty+G9sR6jPeabtluTsrs6GoCyq36fPF0WfyrmS6Z5IYAqGe0BoHGRTjplJLkZpP/Z+IM0ei1at2Prmy45AUBK5Xarg9i09fEeBfY+pGLeNri1tYDDAGJIytRhvDZgnD5w0efRvn5G0F4+Gc7Pd+HBGKKhDIyuIYTGAMZZyAwGGLXFvO0is9Y9A9sBAAMhFNKOCYkhbMwLG5DTinlNxLxyYt7+hivSrSlh3FZ7PO2Uj4GENHamDrgOAO/tIKGd94Fwsr+5KeLBFEAzDIPoYG0ghYAULsSmEMGNXwwMpNRuOlH/HPXKg4p2qkSSm84fzF8mv7kKf6YmFoASjZlTEtXjhXxJzPtLWKP9Y0+0tIYb929PFr3w+bSApg+/yDIPOFcKN/85nC81qUCrbjrzMHTQ3jTaJ5Pm3xQxXyBSqa5nVJOOGFrnxpkGRgNKCSgtIAxQp2JeWaHu//61t8obG4rWGO+v4gebCfeLaIaq0HXAjksPY+ZN+43g08tj6pO8EKEcKSRq7UPUyih/OnbfAKSz37VagpgXLOYZZkJYzDPMQtOl1nzjzr8FiXiGBswIdtq2pCUZdpcubzLPfNIACgHFjACwDhrIzn5b6x/dI41wH6/H88x71WSwnhzXWdJDihXzoT6hKSPg7QRwIkBAQgrlGjJVqKmfQ9fSTO8jMIBAlW3X9m3rTkoqhEvtl9StO9ons1MaCd0ezH5lhXNjQo28gUNeWlZGzHddHnq8UBzpLCjWCZlzKEC1vMhtSKh8ALxgwfKNUUDATu0ooCFMExgvVFHo4NkRjpFa0X1APdvkJlntOHQBAWNOQPxDs0rFW89FIuZbTrHhHHRkeaNXwh/bHZHcQ6Qs13kgXEeZgYEWAoCfms4e30BACIMqnJWGhsIIjZcAPXoj5pvhNt5ToS3mTXSd/Hk1HUz2BjXRE8H+Yv2NLSCtddP9xpvyRDj/3Gwd0on9gfZ188q6KUOu246DXWtuXTZWbgM7I4A9kkDlZvuM3Jjd70tU1tJqIDDwrvADWIEnBWTlApcpYZX2sGo6nvz4C/fM12mcEpgwVKAJBBCdaPx7kK7MXh2IpCfLi1OBJkp7JOZJ54MX8/UAakSampG3AexQiVIkfv9ba7nZx/m1Ts5ZI7k+Bbp6OMcQ/sKZDgPrZi9aHQpaW9Fu3LL9cwoY5/TmPdys9V0GizuUwBArqLGC2qxg5O5+e/hGzCsMyNStwka0Jyd5WNNo9mXLvH8WZM8rLNv/vZfdOuCmlmtb9e15tXod41V6L2buSZPmCfjnrSIedRW8px7ct70KTTR7jaqZgq4rmn2hPvHmiiwX8hQ2jPPk4yEDTB9YzDNMBjvW3b5s6Nh4BUw4Zn6yeeaLFgeAdnO76K7Nm0+EcY+uwaptutGKHKWKyzGkYdQRAC9YsrUA9Drxj7Pf8bRzgLeA66T1GGaLFwKavPy025aKeSMGSW++nZrOi3mdiHknReBFu3WNlVBhVnurPL17oY3665cHAFYAsdIcz4x5MW/0JZsJI517ccv00lJ0Ji2Xzwem0sk94PP6trFAFLMhWKLdtmjseFq3DPSX0eobKLTfw+ZeYp5UtmWCd+MFKkXyCQhZ+yW3nxfzGkBtBQk0hHR/IKljLwxJWuhUzHuLsVuXiWVeugj03i+FimoBQToJDCTqSEy3Ld/ezq4hkgsVxsPTsmmngqHHNRC+8wJN/UL4aADNTdYIXTfgyDX4aV7f5abccZux/lTM+04IL+ZTGuntz0e7oxv3vNHut97cVV5rNk9Bf6ViMU+vpHTn3HQU+CsnQhmhliMn5oN7vy1z4ByKjDFuyEXs5SRc/6Fw0ccNJAaVu0ecmBdSOPd8dwK6AkYqdBrI6IdkXKwTfw6uzgN3nSvEPzyfiaaRx7217nc9zKgVXjQX0PU3ae3r5+Sde/eFeKYaqP27IvVQ0ICUVZNXkk4+t83nE5I8m6ibvcvbFvNA8rOJSa/JGEyyHJ4f9Bjup+L0ZCv+jZ0q07nIk751reHGwTdi3v/yowd0VBwR/mjyp272VJR7iZ6X6s1b1C/ntpevie8QzD24c3+ItDNTxKu5A+UuBelramKYKDc0qckiReaFC/Cc8sy2gMU8w2wnXCht72kbPG4BBPVoyLp2moeK+QQfzV4YCehhJpq9iIWUEdatnrrZI3Wzr8g2Ox88TGqZV7A97F64+IaG3bcy3hXYN14UDAbwJiQ3wRWs2+5qOHHfkSBIq9eOzF2FELuiOtse/JKqnMSsk2kYtYpt2ZZdRah4TN0mqrwZPlKfIlhym7ncvJBND2ZbxaX+A99giuvWj8b12Z+LP3jhOpbGMYTtsYhEMjba3tgSMCOSLgBZN8thPzTXWQBNhPdMPaK/Bxox72SqCLEfdOJ1YJvRNgCe9692W6K6GxhTh2tr74p8L1/OMp/oHPfXJp0KibCXxgp641zMtYGPnxn29wK5hg9yZaX6yPjOgthi571JREjxEtc4LZdzf6dXqilRhlr7Jfus8qI+Plsgtsx7z4SmUyEW87YOMqq/dTWmnSID6DAfhiSdIQYSA9XERvD7tF2UbeA/OwxAYiBsRJBKGPfIFqhk8/deXVuFHqkkYr+7D0wsEqUTwAPXmpMlMS+Sde9mL9HZcxb+EgJ2ejQvnH3/oIabNEWEdfoN0nltJBpvA/cz0iDCf9BUs67pMIi4Q8O7qvuysmK+ZAmNT643bTFf3mByZRuECO52vDvcNGvWVd27wNPKNeJchOE1STjbIM79cniKGN/9TX8L9ndQ7KQeI+aB+Hce7WvsO7h5YuQuAt2Ztkdk+zqG/UWcPsZq3rzhhqCW+PTbtjtWXeldEzSy2GcWHxbzDLPtIC2KngaXKHNrH5/e0ULqLnzMul/OCZZY5LQFLzVNa9gxusIJcZP5bo7nbX0IJciok8GEbSXBMYlpvk/egpiPTEw58RzLnu4WT6GRRRtPxq2a8q3Q5BblBnFpZ5HWJW8jitNznRw0j792qZjPlBWO7xtwsslPxXzoAEk7UPzvwGTEvMaa8HPa044Gn92KeWNU5K5vkrpLo+IqJ9dIkl66UncKvRuKYt4JbCGcsIQVGZUwwXMg2PbcrBg2sF4T2C81ltnjOe8Yki5EI8mz855HZaRivrF2yyS9vW9b18UDDRpoWc31alz6/RGoq7J1zXdPEiMxgHBivhnakHYoAIYEt3eWf4Hg/SOMCC7WBoAc2SBn1GAu3XnAuA4hn24SnW4SS36zc7weifnWpQkIulAQ85CACC7vSQG5P7V/pKWPgNTKTQV8ppj011/MkEOM2T4tE78WfGd4/EvyQr6Gd6G3LvO1+/hOSAXiZm/shJy+aJXOM597pqfVmfSaGF/fjn27/njj0vpsY5gdDot5ZuHJ9Zl29aNOky+3nyLLNC2XXjpuVzlAJpLwuPWQRgSKXzdwrUPhGtsijBYH2u0mj29CmMLV8sGpbKN+FJrZguyf2m8FJnGzd9ZvcSw+sBnAmAraPaaME0JhX2ODiDXHUQhNXqODFcxEZ+5bsM4KYfwj0Au55oLba9JY/kFKSc84t31canv8+wRmovEHjDPQYIlB4AJNi5aIg6QawULrph1rRKh36yjUpXU6XszHlnmRCcRkle8YMS+pZd7d91nLPIksBWqZJ+bCUK9GzJtQz9yP0P7+IqtO8BQwIUduP3L3ZcqMc+W2xdvLXUomWmrOIXZutfX13zangJcSPo93jjewc4ZLKPJ3jP2ZjUvzXWa5M8j/ouLzS59czZl2/07S0vxZdEXnVkS8Uy8AmkKXG1dm+1xLxbzNh6QMf0w7LtnrYS/mtR/+A8DUNtiZTK6a/enqWMwLe3YD4nxT+g3TdUnEfNeQFirma/fTaWIGNOuhS5XcYNo9IkK3ma+beyT5x1Kt2+XUtJ8W7an17AHclwGd4r6pXObHEZImfNyaZLmr88BrdF83utlb5u22JnK8Tu7RJridfUPr5NN05pXc7NEqs4lSXzp5ui2XR2SW07RxZRQIr6jcMZr7pTQ1Hf1O8xq096VpaZnj1gtVby0zzGbBYp5h5oQfG981Zj5LH8/luP3cNFx8A4g2KugyXTDJJ92e1Mf48lMjcW7/QkNqUoSg44W9c2/TfUDd7Jt8IqSLsF8jsvwYY2uta05GoA5zWDenoloioDEsb8zNvuW9Z0RG0IcmslvtMnsRO2PqGh7GiTsxb5yUMNKV6eycYRsgjR/Q2xzbhPykTtGhum4kv66T9dJ1zJ0bJTXvJWLeuSTHNy3N09VzNq5Bapvztm8kbnx29cn09ebolvKA9veenwkiQ5/HCABnmUeI5K6NQCVNdPbGCGtAdL8kGf0OM272TjS0x/Mj6l5rUmOoVT91XW/Hxabf7a4UKm7a5DoSch0PhlxPEp5P2AEDvhuk7QBN9x+GVO02+Ee1nU6e7GnWyj44AkH40/Rwh2eevdmniihvT/MKmDBpCN0h3CNRhx5Z8cKV7icyAsqLekXEPJoA/349Vzeg7FWfpolCvj7QUyg95dJXq68bRRmBJjBbM/hklHSA+5i2Oct8E/TOW+bDXwm+Gy17R/bpMJ70AoX2hSENDt/dERQ6WndZdBzd3h5uFNH8aMKPJ84W1SMS84puYphtC4t5hlk6Ml3RhddVu8nXztrVTx+XQQQhSW83lRsx3aSQMfNIAnLBO9XGzbUmNy23n5iXzt1ewgfAImLe5Y/H1bo9RdroaDcymr02KOZbw2oF2kpwnJivSJ4OMR8EuSAt70yZ4fCkdyiypNNK5zw5uppNJTGf1DGsjxHziSW8JeZDedQyL9HUWze70fzCbaOW59Y1sg1VIRTiaPY6CnrX7NJYua01LnazT8e9S5n+FnKdOMKNix3fQG/v36RbMa+DmJcAKqmiPFbM+zncbZT6eEq+1AKfSupmm5+4rwvqZq8yjfzGLb5dDnWRB+i1bf9dcpZ0Y5oI3f4IEiZEQvAR8OP97FWRrfTGo913TxjYhpeECQ0wCWBALPMVGj+jcfjuHFrWOC97AJELf7qNNgztX0u4qdAcOZXsoJZo6jTmd4veVsaNIyf5k6dTJ/48c7Px5d6Kmf6I3tDuwNJTrpeYJ91RVMzXRkYeF37/lph3rvS+Q6/5fdjO4MgybxKPlA2L+YzV3OTKT75Num+8n0HTuWPozeGFfJ/XSvEms1dPYAgROlEqiGj8fMpqs5gMeWoR7TytL2gJHq/P9GNhxfw3v/lNXHvttbjnnnswGo1w1lln4YorrsAv//Ivb3XVGGZBSJsLtNHqxAbJnR/7bZuqtLSUthWsb72a/FUkuhvXfbvuAuAl5evQeaBdaXZPn0+SZjTNRzsThDt6f5KBmuFaZpgg+Fv22rWK7RI5BTEfmdj8MVSHmDdOzHsn39gyb4uig2m7xHzJ/bxAaLwVxHxWsHaRuqek+9D7kDYu0wYnknXfQWCIkM+LeSNiUQvQOeHpLkTMQ8BGg089AWgpcaOwKObHBQkkJZbT/XlSa3x8fCO8mPe/w/gsJxVGi0KuI6RxRaZpDY0l1EID5aXu+PY757gf/5JyQrRkbW7XN76rc9on9xTr+vulkq3LGg0gsi9J00IAABNlSURBVLJn5F6rrFLatAI7d3eX7ngq5ic5nv9FTC7m46PUGTGvjcTIJJZ5WDHeiHk7nVptKrvsxLwmV8+4bX7/ka7iO8/QLqYcskceTyrmBbkwSVe/aV/t1EvAaLu/yXUOuAvaNYsMT+HG7GQWUsx/7Wtfw+tf/3qsrKzgkksuwd69e3HrrbfiN3/zN3Hw4EG88Y1v3OoqMswm09X08qYP37Ut4KPajy/WvSFpz/m4lsqmM60tpSFnmbeWNNdh4NxlNencaPaTSVljLkV2Yz/LvChaTros86UCCW6/YPENLf+2mDemINi9m32rTuXDRkRR49F0OERj1mmdx1jmJbG4h6xxfYUQMGZEd3JT0CV5W+hGyPsp66K6+LvA2ppj2n/rdoTovuameP/29n4/ShPu/VwHSk465nxZTWZ5PoiszI5rIzquYez50+8G7T6eSdZFa5tIOjhohHGV1NR3i/k0mWwnXW29mdgyT5bTbavJtvQv3tUxQQm/NOPqZdp5cyO30uVpSe8O0bFtkrK26lXYjIpv7kC6hGhL/3u/P5PckUC+e2M+XX9pl3abcdGNSnnHWNujptmsLfOzgK37O4GFE/N1XeNd73oXhBD40z/9UzztaU8DALzlLW/Br//6r+Paa6/FL/3SL+HMM8/c2ooyzCKgXTPNz3XvB2NqAEKEKXzifeJlo4WbIseRvA0NbWnpZj1yi0taOukc7TaLb9zm575NadJKbtlp48C7UFs34EoAPna2wAC+Ce3d66zrqLeQSGizCuqpYNNzDpyTk7UatIo1KLtBlpq2OTf7LjLN8CDmDbHMZ44rUnlBXdd7ENqciZjvNWY+t5nKgMYORutngsOyx7rmS5GeV0oq5lPHaiLmRTqaN1fvxjJvhPMwiY6b/N1lWmbeMl9yn0/pztfMFu9RydzLOpyvP/cuWy5I3jSXvTbZYGZjSqR4a3e+4yQNHNePJkBdPgDepGX2Gf7QJV4nFbN0ToWNivl027jumy4xL9B0TNAPzZMT8zRQ7DhyHR/jLPPA7C3z9BgmWqPlkOnfjH//2bHuOikjfvKYzKf7yF0dXrOHTeMMs1UsnJi/44478P3vfx+XXXZZEPIAsGfPHrz5zW/G29/+dnz605/Gv//3/34La8kwi4xprPPdbXjQ5oyI0hsE1Uup17X/TpR72tyPXSnjmW6ttM+5u6bfBsaoaN1+O1e+0JwTYcyrbzY1bsNezHsLRuNS2Ez3RcV8M9VPdE1aKX03kvNrtX26GkMFd/LIfVEi3yymu8n2umlkTJPHWfJbQjVXp8yxuoYg9B2eIMc05aMx25m8QsO+4oZodUr0EPMh+GLy9zREGuUE3jjRZyNMd11XROPp502fJnj4xZr0V1kqpUtsIPt7n4SuMfNA7+6lLLno1oMeYr50Rs1TSURpEgLr0YGbxRVUGGWfPGXSMfql7bn1tO4rdJuYXsyn9fHLaUdv2i046d+v1GdNu5TGW277HaOvmM/dETUklGgCndqOPTdLBDRabvYQqBM/lBraDfVw9QoeT/Gb1RhAieY9GdeodAb0d1vulLTEd5owuuMi61aaSX5kSnuPubi7xUwUaJZhdiYLJ+bvvPNOAMBFF13U2nbhhRdGeRiGYTySCKQm8nUuXBVplokmv8Gg5ZZoojGELk1MbjXLuTu206YQ81EZhUYPFYadDSMq5nOW7nF1Khxzkm0UqcaUM8YVUmhIDKBTMZ/UIWe1jtIyKo12TLW3jRN9Il/fBaYRMH3F/PITB/Ur+Q9R8tupRZemjZMoox55KBsR8130scx3lZfWJxcfIN22PcR8+yw0hA1KR+aIt/lF1Knhy0h9j0KaaQINarJDziOOYZjtz8KJ+QceeAAAcMYZZ7S2nXLKKdi3bx8efPDBTa4VwzBbRWzhNxAhMJ63zYno2yJDHtkSTt6FmNopfGzpnH0tEfOFXHR7Oy3nedDVrCV0it8+/srxmPh+9BlXPu6YU2yL8pkNlqNd103dEuzjLN9dbul0PHcf0ZRjnGV+0aDeLxu1qgOIonZPRe/Af9OU7ce+x2J+XPfL+E6cZL3jEvgJxibp8ml8j6YbcNPFRsT8uHwdg00mKjutXy7qQy5fXyYX8yvZbQoVTDKO2ft9pEMzmvnkm/nolfv4vFEAPKTR68edFcMw24GFE/NHjhwBAOzduze7fc+ePfh//+//Fffft2/fXOo1a9r1PHMrqsEwDMMwDMMwDLPjWBbd2AUPRmEYhmEYhmEYhmGYJWPhxPyePXsAAIcPH85uP3LkSNFqzzAMwzAMwzAMwzA7gYUT837Kudy4+EOHDuGxxx7LjqdnGIZhGIZhGIZhmJ3Cwon55zznOQCAr3zlK61tt99+OwDgggsu2NQ6MQzDMAzDMAzDMMwisXBi/vnPfz6e/OQn4y//8i9x7733hvQjR47gQx/6EAaDAV7xildsYQ0ZhmEYhmEYhmEYZmsRxpiFm7zijjvuwJVXXomVlRW87GUvw549e3Drrbfi4Ycfxtve9ja86U1v2uoqMgzDMAzDMAzDMMyWsZBiHgC++c1v4pprrsE999yD0WiEs846C1dccQUuvfTSra5ai29+85u49tprW3X95V/+5d5laK3xyU9+En/2Z3+GBx98ELt378Zzn/tcvP3tbw9xBBhmlmz0vr3rrrvw13/917jzzjtx8OBBHDt2DPv378cv/MIv4A1veANOPvnkOZ8Bs9OYxbOWMhqN8MpXvhL33XcfnvrUp+Kv/uqvZlxjZqczq3v2yJEj+MhHPoJbb70VDz30EFZWVvDkJz8Zv/ALv4CrrrpqTrVndiqzuG8ff/xxfPSjH8Vf//Vf4+GHH8bq6ir+6T/9p3jFK16Byy+/HLt27ZrjGTA7ic9+9rM4cOAAvvWtb+H+++/HaDTC+973Plx22WUTlbOsWmxhxfyy8LWvfQ2vf/3rsbKygksuuQR79+4NXgRvf/vb8cY3vrFXOb/927+N//7f/zvOOussvPCFL8QPf/hDfP7zn8euXbtw880346yzzprzmTA7iVnctxdeeCEee+wx/OzP/izOPfdcCCFw55134u///u/xlKc8BTfffDOe+MQnbsLZMDuBWT1rKX/0R3+Ej33sYzh27BiLeWbmzOqe/cd//EdcccUVeOihh/CCF7wA5557LobDIb7//e/jH//xH/EXf/EXcz4TZicxi/v28ccfx2WXXYaHHnoIP/uzP4tnPvOZGA6HuO222/D9738fz3ve8/DRj34UUi7caF9mCXnxi1+MgwcPYt++fdi9ezcOHjw4lZhfWi1mmKkZjUbm4osvNs94xjPMt7/97ZB++PBhc8kll5inPe1p5nvf+97Ycr761a+as88+2/yrf/WvzPr6ekj/u7/7O3POOeeYV7/61fOoPrNDmdV9e/3115sf/OAHUZrW2vyn//SfzNlnn23+83/+z7OuOrNDmdU9S/nWt75lnva0p5n/9t/+mzn77LPNS1/60hnXmtnJzOqereva/Oqv/qo577zzzFe/+tXscRhmVszqvv3whz9szj77bPN7v/d7Ufr6+rr51V/9VXP22WebO++8c9bVZ3Yot99+u3n44YeNMbZtevbZZ5s///M/n6iMZdZi3CW2Ae644w58//vfx8te9jI87WlPC+l79uzBm9/8ZtR1jU9/+tNjy7nlllsAAG9729uwuroa0p///Ofjoosuwte//nV873vfm/0JMDuSWd23//bf/lucfvrpUZoQAm9+85sBAF//+tdnW3FmxzKre9YzHA7xW7/1W3jmM5+J17zmNfOoMrPDmdU9+8UvfhH/+3//b/zGb/wGnve857W2DwaDmdab2dnM6r596KGHAAAvfOELo/TV1VVceOGFAIAf/vCHM6w5s5N5wQtegP3792+ojGXWYizmN8Cdd94JALjooota2/zDyufp4mtf+xp2796N888/v7XNl83CiJkVs7pvS/jGZVVVU5fBMJRZ37Mf/OAH8eCDD+K9730vhBCzqSTDEGZ1z37+858HAPzSL/0S/u///b+46aab8OEPfxhf+MIXcPTo0RnWmGFmd9/+1E/9FADgy1/+cpQ+Go3wd3/3dzjhhBPwrGc9a6PVZZiZscxajLt0N8ADDzwAADjjjDNa20455RTs27cPDz74YGcZx44dw6OPPoqzzz47K358wAV/LIbZKLO4b7v48z//cwDNi59hNsos79lvfvObuOGGG/D2t78dT33qU2dZTYYJzOqe/da3vgUAOHDgAN73vvdhOByGbaeeeio+8IEP4LnPfe5sKs3seGZ1315++eX47Gc/i4985CP41re+hWc84xkYjUb48pe/jEOHDuH3f//38U/+yT+ZdfUZZiqWXYuxZX4DHDlyBACwd+/e7PY9e/bg8OHDnWX47Xv27CmWQY/FMBtlFvdtiXvvvRfXXXcdnvjEJ+LKK6+cuo4MQ5nVPTscDvHOd74T5557Ln7jN35jpnVkGMqs7lnvivye97wHV1xxBb70pS/hq1/9Kt71rnfh8OHDeMtb3oJHHnlkdhVndjSzum9POOEE3Hjjjbj00ktx55134iMf+QhuvPHG4MKfs34yzFax7FqMxTzDMDPhoYcewhve8AYopfAHf/AHOPXUU7e6SgwT8YEPfAAPPvggfu/3fo+HgTBLgXETDr3oRS/Cb/7mb+InfuIncOqpp+K1r30tXve61+Hw4cP41Kc+tcW1ZJiYH/3oR/g3/+bf4H/9r/+FD3/4w7jrrrtw++2343d+53fw6U9/Gq961atw6NChra4mw2wLWMxvAN9TU+qlPHLkSLF30+O3l3p7fHqpt4hhJmUW923KwYMHccUVV+BHP/oRrrnmmmygJoaZllncs9/+9rfxsY99DG984xtxzjnnzLyODEOZ1XPWl/PiF7+4te3nf/7nATSu+AyzUWZ1377//e/HN77xDVxzzTV44QtfiL179+K0007Dq171KrzjHe/AQw89hI9//OMzrTvDTMuyazEW8xvAj6HIjR86dOgQHnvssey4I8ru3bvxpCc9CQ8//DCUUq3tfnyGPxbDbJRZ3LeUhx9+GK997WvxyCOP4AMf+EBoYDLMrJjFPft//s//gVIK1157Lc4555zoAwDf+973cM455+DZz372zOvP7Dxm9Zz1cR1OPvnk1jaftr6+voGaMkzDrO7bL33pS3jCE56An/7pn25t85393/72tzdWWYaZEcuuxVjMb4DnPOc5AICvfOUrrW233347AOCCCy4YW84FF1yAY8eO4e67725t82X7YzHMRpnVfQtYIf+v//W/xiOPPII//MM/xMUXXzy7ijKMYxb37JlnnolXvvKV2Q9ge+Zf+cpX4uUvf/lsK8/sSGb1nPXC5zvf+U5rm0/b6JRMDOOZ1X07HA5x5MiRKGCj50c/+hEARNN/McxWs8xajMX8Bnj+85+PJz/5yfjLv/xL3HvvvSH9yJEj+NCHPoTBYIBXvOIVIf1HP/oRvvvd74YHmedVr3oVADuekz74vvrVr+IrX/kKnvOc53DUZWZmzOq+9UL+Bz/4Af7gD/4Av/iLv7hp58DsLGZxz55//vl473vfm/0AwGmnnYb3vve9eNe73rV5J8ZsW2b1nL3sssuwurqKT3ziE/jBD34QlXP99dcDAP75P//ncz4bZqcwq/v2/PPPR13X+NCHPhSlD4fDkMazMDBbwXbUYsL46CrMVNxxxx248sorsbKygpe97GXYs2cPbr31Vjz88MN429vehje96U0h77XXXosPfvCDuOqqq3D11VdH5bzrXe/CLbfcgrPOOgsvfOEL8cMf/hCf//znsWvXLtx8880466yzNvvUmG3MLO7bF7/4xTh48CB+5md+JjsnLYDWfc4w0zKrZ22Oc845B0996lPxV3/1V/M8BWaHMat79sYbb8R73vMePOEJT8Av/uIvYnV1Ff/zf/5PHDx4EL/2a7+Gd7/73Zt9asw2Zhb37b333otXv/rVOHr0KM477zycf/75WF9fx1e+8hU89NBDePrTn46bbroJu3bt2opTZLYZt9xyCw4cOAAAuP/++/Htb38b559/fhgScvHFFwfP0e2oxXie+Q3yvOc9D5/85CdxzTXX4Atf+AJGoxHOOuss/Lt/9+9w6aWX9i7n3e9+N8455xz82Z/9GW688Ubs3r0bP//zP89zITNzYRb37cGDBwEA99xzD+65555sHhbzzKyY1bOWYTaLWd2zr33ta7F//378yZ/8CT73uc9BKYWzzjoLb3zjG4M1iWFmxSzu23PPPRef/vSncf311+OOO+7An/7pn6KqKjzlKU/B1Vdfjde//vUs5JmZceDAAXzmM5+J0u6+++7gMr9///5ew0CXVYuxZZ5hGIZhGIZhGIZhlgweM88wDMMwDMMwDMMwSwaLeYZhGIZhGIZhGIZZMljMMwzDMAzDMAzDMMySwWKeYRiGYRiGYRiGYZYMFvMMwzAMwzAMwzAMs2SwmGcYhmEYhmEYhmGYJYPFPMMwDMMwDMMwDMMsGSzmGYZhGIZhGIZhGGbJYDHPMAzDMAzDMAzDMEsGi3mGYRiGYRiGYRiGWTJYzDMMwzAMwzAMwzDMksFinmEYhmEYhmEYhmGWjP8fKWBe4JSRrI0AAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6228,14 +3177,14 @@
     }
    ],
    "source": [
-    "compare_prop_dists(idata_treatment_2s_lalonde, idata_lalonde)"
+    "compare_propensity_dists(idata_treatment_2s_lalonde, idata_lalonde)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Both estimates of the treatment effects accord well with values in the literature. We can be happy that both models are picking up on the treatment effects reasonably well, despite having a minimalist outcome  model. This is because in the Bayesian setting the conditional distribution of $X, T$ are generally sufficient when there is no unmeasured confounders. Here the model somewhat ignores the propensity score coefficients `beta_ps`"
+    "Both estimates of the treatment effects accord well with values in the literature. We can be happy that both models are picking up on the treatment effects reasonably well, despite having a minimalist outcome  model. This is because in the Bayesian setting the conditional distribution of $X, T$ are generally sufficient when there is no unmeasured confounders. Here the model somewhat ignores the propensity score coefficients `beta_ps`."
    ]
   },
   {
@@ -6244,12 +3193,12 @@
    "source": [
     "### NHEFS \n",
     "\n",
-    "Finally we turn to the NHEFS data. This data is known to be have a complex covariate profile for measuring aspects smokers health. We might suspect that there is some unmeasured confounding in this data set that would be hard to pick up on with simple regression controls. "
+    "Finally we turn to the NHEFS data as discussed by Hernan in {cite:p}`Hernan2024-HERCIW`. This data is known to be have a complex covariate profile for measuring aspects smokers health. We might suspect that there is some unmeasured confounding in this data set that would be hard to pick up on with simple regression controls. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -6340,7 +3289,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6352,7 +3301,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 32,
    "metadata": {
     "tags": [
      "hide-output"
@@ -6373,7 +3322,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fb91778f772540c59208bb2e0b74d843",
+       "model_id": "a6c19c80ba8a4b98b073da17136e194f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6384,6 +3333,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -6398,7 +3355,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 45 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 47 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -6410,7 +3367,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "47db4ae1ea8f4a1e8f0bdf36cbe82181",
+       "model_id": "702de7b986414b279c11c5b695013eaa",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6445,7 +3402,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7a6776c3feed477096a65dfd8461d8a3",
+       "model_id": "0827247867294a5fb95c591575722e90",
        "version_major": 2,
        "version_minor": 0
       },
@@ -6456,14 +3413,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -6478,13 +3427,21 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 19 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 17 seconds.\n"
      ]
     }
    ],
    "source": [
     "coords = {\n",
-    "    \"betas\": [\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"],\n",
+    "    \"betas\": [\n",
+    "        \"trt\",\n",
+    "        \"age\",\n",
+    "        \"smokeintensity\",\n",
+    "        \"smokeyrs\",\n",
+    "        \"wt71\",\n",
+    "        \"wt71^2\",\n",
+    "        \"smokeintensity^2\",\n",
+    "    ],\n",
     "    \"betas_trt\": [\n",
     "        \"age\",\n",
     "        \"race\",\n",
@@ -6533,7 +3490,9 @@
     "]\n",
     "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
     "# Note the significantly reduced outcome model specification.\n",
-    "X_outcome = df[[\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\"]]\n",
+    "X_outcome = df[\n",
+    "    [\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\", \"wt71^2\", \"smokeintensity^2\"]\n",
+    "]\n",
     "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
     "T_data = df[\"trt\"].values\n",
     "X_outcome[\"trt\"] = T_data\n",
@@ -6547,7 +3506,7 @@
     "    \"sigma\": 7,\n",
     "}\n",
     "\n",
-    "nhefs_model = make_model(X_trt, X_outcome, T_data, Y_data, coords, priors)\n",
+    "nhefs_model = make_joint_model(X_trt, X_outcome, T_data, Y_data, coords, priors)\n",
     "with nhefs_model:\n",
     "    idata_nhefs = pm.sample(**sampler_kwargs)\n",
     "\n",
@@ -6564,12 +3523,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6595,13 +3554,17 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Here we see the model specifications start to come apart. "
+    "Here we see the model specifications start to come apart slightly. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
+   "execution_count": 34,
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
    "outputs": [
     {
      "data": {
@@ -6634,125 +3597,157 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"8\" valign=\"top\">1-stage-model</th>\n",
+       "      <th rowspan=\"10\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.152</td>\n",
-       "      <td>0.063</td>\n",
-       "      <td>-1.265</td>\n",
-       "      <td>-1.027</td>\n",
+       "      <td>-1.153</td>\n",
+       "      <td>0.062</td>\n",
+       "      <td>-1.271</td>\n",
+       "      <td>-1.037</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.812</td>\n",
-       "      <td>0.404</td>\n",
-       "      <td>2.034</td>\n",
-       "      <td>3.545</td>\n",
+       "      <td>2.835</td>\n",
+       "      <td>0.398</td>\n",
+       "      <td>2.082</td>\n",
+       "      <td>3.570</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.226</td>\n",
-       "      <td>0.353</td>\n",
-       "      <td>-2.873</td>\n",
-       "      <td>-1.558</td>\n",
+       "      <td>-2.231</td>\n",
+       "      <td>0.352</td>\n",
+       "      <td>-2.883</td>\n",
+       "      <td>-1.564</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.306</td>\n",
-       "      <td>0.194</td>\n",
-       "      <td>-0.056</td>\n",
-       "      <td>0.664</td>\n",
+       "      <td>0.576</td>\n",
+       "      <td>0.465</td>\n",
+       "      <td>-0.310</td>\n",
+       "      <td>1.449</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.505</td>\n",
-       "      <td>0.347</td>\n",
-       "      <td>-0.142</td>\n",
-       "      <td>1.162</td>\n",
+       "      <td>0.489</td>\n",
+       "      <td>0.343</td>\n",
+       "      <td>-0.165</td>\n",
+       "      <td>1.124</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.184</td>\n",
-       "      <td>0.190</td>\n",
-       "      <td>-1.543</td>\n",
-       "      <td>-0.830</td>\n",
+       "      <td>0.022</td>\n",
+       "      <td>0.617</td>\n",
+       "      <td>-1.102</td>\n",
+       "      <td>1.201</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[wt71^2]</th>\n",
+       "      <td>-1.267</td>\n",
+       "      <td>0.615</td>\n",
+       "      <td>-2.427</td>\n",
+       "      <td>-0.137</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[smokeintensity^2]</th>\n",
+       "      <td>-0.287</td>\n",
+       "      <td>0.458</td>\n",
+       "      <td>-1.161</td>\n",
+       "      <td>0.580</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.089</td>\n",
-       "      <td>0.328</td>\n",
-       "      <td>1.468</td>\n",
-       "      <td>2.702</td>\n",
+       "      <td>2.051</td>\n",
+       "      <td>0.329</td>\n",
+       "      <td>1.444</td>\n",
+       "      <td>2.670</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.623</td>\n",
-       "      <td>0.977</td>\n",
-       "      <td>-2.423</td>\n",
-       "      <td>1.235</td>\n",
+       "      <td>-0.507</td>\n",
+       "      <td>0.993</td>\n",
+       "      <td>-2.352</td>\n",
+       "      <td>1.379</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"7\" valign=\"top\">2-stage-model</th>\n",
+       "      <th rowspan=\"9\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.779</td>\n",
-       "      <td>0.410</td>\n",
-       "      <td>2.012</td>\n",
-       "      <td>3.538</td>\n",
+       "      <td>2.809</td>\n",
+       "      <td>0.396</td>\n",
+       "      <td>2.060</td>\n",
+       "      <td>3.540</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.300</td>\n",
-       "      <td>0.365</td>\n",
-       "      <td>-2.965</td>\n",
-       "      <td>-1.597</td>\n",
+       "      <td>-2.318</td>\n",
+       "      <td>0.363</td>\n",
+       "      <td>-3.003</td>\n",
+       "      <td>-1.642</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.346</td>\n",
-       "      <td>0.201</td>\n",
-       "      <td>-0.025</td>\n",
-       "      <td>0.729</td>\n",
+       "      <td>0.584</td>\n",
+       "      <td>0.495</td>\n",
+       "      <td>-0.352</td>\n",
+       "      <td>1.495</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.509</td>\n",
-       "      <td>0.350</td>\n",
-       "      <td>-0.122</td>\n",
-       "      <td>1.187</td>\n",
+       "      <td>0.484</td>\n",
+       "      <td>0.346</td>\n",
+       "      <td>-0.176</td>\n",
+       "      <td>1.123</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.237</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-1.597</td>\n",
-       "      <td>-0.873</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.620</td>\n",
+       "      <td>-1.204</td>\n",
+       "      <td>1.114</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[wt71^2]</th>\n",
+       "      <td>-1.270</td>\n",
+       "      <td>0.625</td>\n",
+       "      <td>-2.396</td>\n",
+       "      <td>-0.048</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[smokeintensity^2]</th>\n",
+       "      <td>-0.282</td>\n",
+       "      <td>0.472</td>\n",
+       "      <td>-1.149</td>\n",
+       "      <td>0.621</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.936</td>\n",
-       "      <td>0.444</td>\n",
-       "      <td>1.142</td>\n",
-       "      <td>2.807</td>\n",
+       "      <td>1.900</td>\n",
+       "      <td>0.508</td>\n",
+       "      <td>0.922</td>\n",
+       "      <td>2.834</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.026</td>\n",
-       "      <td>0.958</td>\n",
-       "      <td>-1.771</td>\n",
-       "      <td>1.853</td>\n",
+       "      <td>-0.005</td>\n",
+       "      <td>0.992</td>\n",
+       "      <td>-1.866</td>\n",
+       "      <td>1.900</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -6760,25 +3755,29 @@
        "</div>"
       ],
       "text/plain": [
-       "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt             -1.152  0.063  -1.265   -1.027    1.0\n",
-       "              beta_[trt]             2.812  0.404   2.034    3.545    1.0\n",
-       "              beta_[age]            -2.226  0.353  -2.873   -1.558    1.0\n",
-       "              beta_[smokeintensity]  0.306  0.194  -0.056    0.664    1.0\n",
-       "              beta_[smokeyrs]        0.505  0.347  -0.142    1.162    1.0\n",
-       "              beta_[wt71]           -1.184  0.190  -1.543   -0.830    1.0\n",
-       "              alpha_outcome          2.089  0.328   1.468    2.702    1.0\n",
-       "              beta_ps               -0.623  0.977  -2.423    1.235    1.0\n",
-       "2-stage-model beta_[trt]             2.779  0.410   2.012    3.538    1.0\n",
-       "              beta_[age]            -2.300  0.365  -2.965   -1.597    1.0\n",
-       "              beta_[smokeintensity]  0.346  0.201  -0.025    0.729    1.0\n",
-       "              beta_[smokeyrs]        0.509  0.350  -0.122    1.187    1.0\n",
-       "              beta_[wt71]           -1.237  0.195  -1.597   -0.873    1.0\n",
-       "              alpha_outcome          1.936  0.444   1.142    2.807    1.0\n",
-       "              beta_ps                0.026  0.958  -1.771    1.853    1.0"
+       "                                        mean     sd  hdi_3%  hdi_97%  r_hat\n",
+       "1-stage-model alpha_trt               -1.153  0.062  -1.271   -1.037    1.0\n",
+       "              beta_[trt]               2.835  0.398   2.082    3.570    1.0\n",
+       "              beta_[age]              -2.231  0.352  -2.883   -1.564    1.0\n",
+       "              beta_[smokeintensity]    0.576  0.465  -0.310    1.449    1.0\n",
+       "              beta_[smokeyrs]          0.489  0.343  -0.165    1.124    1.0\n",
+       "              beta_[wt71]              0.022  0.617  -1.102    1.201    1.0\n",
+       "              beta_[wt71^2]           -1.267  0.615  -2.427   -0.137    1.0\n",
+       "              beta_[smokeintensity^2] -0.287  0.458  -1.161    0.580    1.0\n",
+       "              alpha_outcome            2.051  0.329   1.444    2.670    1.0\n",
+       "              beta_ps                 -0.507  0.993  -2.352    1.379    1.0\n",
+       "2-stage-model beta_[trt]               2.809  0.396   2.060    3.540    1.0\n",
+       "              beta_[age]              -2.318  0.363  -3.003   -1.642    1.0\n",
+       "              beta_[smokeintensity]    0.584  0.495  -0.352    1.495    1.0\n",
+       "              beta_[smokeyrs]          0.484  0.346  -0.176    1.123    1.0\n",
+       "              beta_[wt71]              0.002  0.620  -1.204    1.114    1.0\n",
+       "              beta_[wt71^2]           -1.270  0.625  -2.396   -0.048    1.0\n",
+       "              beta_[smokeintensity^2] -0.282  0.472  -1.149    0.621    1.0\n",
+       "              alpha_outcome            1.900  0.508   0.922    2.834    1.0\n",
+       "              beta_ps                 -0.005  0.992  -1.866    1.900    1.0"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6799,12 +3798,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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AShR4vHv3jgtw+f1BWSYmJhgyZAiA4iBUzODBg5XS2MHWpJa3aNECACT7hBsaGoqu16xZM3h7e4NhGJw7d05p+f3797FixQoEBgZi9OjRGD58OIYPH47o6GgAxc3bxbRr165UU8+JldXFxQXGxsZ4+/Yt0tPTufTz588DAHr16iU6rRX/pkBJREREcMc9aNAg+Pr6ck2m2XENFA0cOFB0W+w59vPzE725MWbMGABAXFwcsrKylJa3atVKtFn5Z599BmNjYyQnJ+PBgwdc+vHjx7n9ienYsSMMDQ0RFxcn2uf+s88+U2q2b2hoyPXL5t8AYgPcM2fOIDs7W3R/utKwYUO0adMG6enpSuMMHDp0CAUFBejWrZtSQKYrpqamAN5/V6jCjnh/9epVpKSk6Lws/K4O2urVqxdsbGyU0keMGAEAiI2NFb0Oy4suvk/Frn1ra2tuakH+Ncy+VydOnFA5BgUhhFQG1GeeEEJEmJmZAUCJAhK2Fs7IyEipVpvVpEkTABAMaMfn4OCglMavORNbbmVlBUA6uKhXr56gFpjP2dkZMTExSuVZt24dli9fjqKiItH1AAhqtfgaN24suY4mxI4RKD4PqampyMrK4o6ZLbfU1ID169eHubk5MjMzS1SWly9f4uXLlwCKWxzUqlUL3t7eGDp0qOSc2Yp9+llsWdlrQJGjoyMMDQ2Rn5+Px48fK9XYSp1XU1NT2NnZITExEYmJiXB2dsa7d++QnJwMAPjxxx9VHmNubi4yMjJQp04dQbrU+8D23eYHej169ED9+vVx7tw5dOzYER07duQGcNR1v3Wg+EZDVFQU/vjjD8H78McffwAo/U0cVdjPmdRnis/W1hZ9+vTBX3/9hV69esHHxwdt27aFt7c3PD09udYbJWFlZVWqmTSkrqeGDRvCyMgIeXl5otdheSmr71Og+Bp++PCh4BoeNGgQgoODuYEWO3bsCG9vb/j6+krunxBCKgoF84QQIoKtUS7JyOfsj3xra2vIZDLRPGzAJBV4izWT5W9LrMWA1L5YYgNnKS7jlyc6Ohq//vor9PX1MX36dHTr1g329vYwMTGBTCbDsmXLsHbtWsnaK7bmsqSk1mdriflNydmbLuxNGDFmZmYlDuY//fRTwTzzmpBq1cEGDlLvh0wmg7W1NZ49eyZ6fah7HxMTE7n1+McbGxurtsw5OTlKaVLHIfY+mJqaYufOnfjtt99w7NgxHD16lBv1vkmTJpgxYwa6du2qthya6t27NxYsWIDw8HCkp6fDysoKt2/fRnx8PGxsbNCxY0ed7UsRO4K6poH0kiVL0KRJE4SEhODcuXNcCw1ra2sEBAQIutVoo7SfM3XX4dOnTzVqfVBWdPF9qs01bGtriz179uC3335DeHg4Dhw4gAMHDgAAPD09MXPmTLRq1apkB0MIITpGwTwhhIho1aoVduzYwTU91qbmjA0oX716BYZhRH+AvnjxQpC3PKjq28su45fn8OHDAAB/f39MmDBBaR12Kq3KgP2xrqo5cEUGJHxs8MXW9CtiGEb0/WCpeh/ZbbLr8QO9GzduqBxFXlfq1auHRYsWYcGCBbh58yYuXbqEY8eO4caNG5g0aRJ27doFDw8PnezLxMQEffv2xd69exEWFoZRo0ZxtfIff/wx10e6LMTExAAAWrZsqVF+Y2NjTJ48GZMnT8b9+/dx+fJlnD59GmfOnMGSJUsAFH/WypvU9SR1HbLfZ4zETA66bpJfEd+nzs7OWLFiBfLy8hAXF4fo6GiEhYXhypUrGDduHA4fPlzi8VQIIUSXqM88IYSI6Ny5M0xNTfHy5UscO3ZMq3UdHBygp6eHvLw8pQHlWPfu3QNQ3KS6vKSmpkoGtOzUbfzysM2zpWqhpPrKVwS23PzB2PhSUlJKXCuva2xZ2WtAUWJiIvLz86Gvry/aPFhqmr3s7Gyutpjdh4WFBerWratyf2XFwMAAHh4emDBhAvbv349+/fqhsLAQ+/fv1+l+PvvsMwBAaGgoCgoKuJtQZdnE/ubNm7h+/ToAoEuXLlqv7+zsjKFDh2Lt2rWYO3cugOJ54iuC1PWUlJSEvLw86OnpCa5D9saZ1E0AqWnx1LUcklKR36dGRkbw8fFBYGAgjhw5Ai8vL2RlZSEsLEyn+yGEkJKiYJ4QQkTUrFmTG2zpf//7n9rm9jExMVwzZjMzMy4A3r59u1LenJwchISEACgeZbm85OfnY9++fUrpd+/exeXLlyGTydC+fXsunR2cTawG+dy5c5UqmGfLffz4cdGgPTQ0tLyLJIl9z0NCQpCbm6u0nL1mvLy8RJtQx8XFcaPo8+3fvx+5ubmoX7++oB90r169AABbt27VSflLiq2Nf/78uUb52a4mYk3/+Tw9PdGkSRPcvHkTmzZtwosXL8pkbnlWRkYGZs6cCQD46KOPNK6Zl8LOUa94XjQ9/tI6fvw4V7PNt3PnTgDK1yHbb5y9mcH39OlT0UE0gfffJ9oeT2X5PtXX1+fmsdf0GiaEkLJGwTwhhEgIDAxEq1at8OLFCwwbNgx//PGHUvD18OFDzJs3D2PGjBHUVI0fPx4AsGvXLq6mECjuw/yf//wHr169Qv369cts2iwxBgYGWLlyJaKiori0p0+f4rvvvgNQHPTxa+DYKbTWr18vqBG7du0afvjhB62mmStr7dq1g4uLC9LT0zFjxgy8efOGW3bixAmsX7++XJqYa6J///6wt7fHixcvMHPmTEFriYMHD2LPnj0A3l9DigwMDDBz5kyu5QQAXL58GStWrAAAjBs3TlALOn78eFhaWuLAgQNYtGiR4NwAxcHpvn37sHr16lIf25YtW7Blyxal4DAlJYW7kcTOuqAOGzSysyaowtbC//bbb4K/dSkzMxMHDhzAoEGDcPfuXdjY2Gg8jsKFCxewePFipdYR796946Z+U5yhQJvjL42ioiLMmDFD8P31999/c4GzYtP/Tp06AQBOnjwpmEXg+fPnmDFjBgoLC0X3w78JoO3AouX5fbps2TKEhIQofU7u3r2LP//8E4Dm1zAhhJQ16jNPCCESjIyMEBwcjO+//x7Hjh3Dd999h7lz58LBwQHGxsZ4/vw5Nx99vXr1BIFw165dMWHCBKxfvx4zZszA0qVLUbt2bTx48ABZWVmoVasWli9frtV80KXVqlUrmJmZYfTo0XB0dISpqSnu3r2LgoICNGzYUGm086FDh2LXrl14/Pgx/vWvf8HJyQn5+fl4+PAhmjRpgr59+2Lz5s3lVn5V9PT0sGTJEowePRqnT59Gp06d4OzsjPT0dCQnJ2P06NE4deoUkpOTy7QftSZMTEywfPly+Pv74+jRowgPD0fjxo3x8uVLrpn8xIkT0blzZ9H1hw4dilOnTqFXr15o2rQpcnJy8PDhQwDF1x07pRirXr16WL16NSZNmoQtW7Zgx44dcHJygomJCV69eoWkpCQwDIO+ffuW+tiSk5Oxbds2LFq0CPXr10ft2rWRmZmJR48eobCwEHK5HF988YVG2+rbty927NiBDRs24O+//4aNjQ1kMhnGjx/PBZSsgQMHYtmyZcjPz9fJ3PL79+/npjssKCjA69ev8eTJE25WBx8fHyxevJibik+dd+/eYdOmTdi0aROsra1hb2+PgoICPHr0CNnZ2bCwsMD3339f4uMvDX9/f+zcuRNdunRBkyZNkJGRwd0oGjFiBLp16ybI7+zsjMGDB2Pfvn2YMGECGjRoAAsLCyQkJMDBwQHDhw/Htm3blPbj6uoKR0dHJCYmokuXLnBycoKhoSGaNWuGWbNmqSxjeX6fJiQkYO3atZgzZw4aNmyIWrVq4fXr13j06BGA4ve+NFMBEkKILlEwTwghKpiZmWHFihW4fPkyDhw4gMuXLyMpKQn5+fmwsrJCly5d0LNnT/Tv31/ph+T06dPh5eWF7du348aNG3jx4gXq1q2LTz75BF999RU3n3F5kclkCAoKwrp163Do0CHcu3cPVlZW6NGjB6ZMmaI0Kre5uTl27tyJpUuX4syZM3j48CFsbW3xxRdfIDAwsNIE8qxmzZph//79WL58OSIjI5GQkIBGjRphzpw5GDlyJI4cOQKgfAcdlOLh4YGDBw9i3bp1OHfuHO7cuQNTU1N06NABY8aMkQzkgeKpyEJCQrBs2TJEREQgIyMDTk5O+OyzzyRHRPf29sbRo0exdetWhIeHc9N92draomPHjujatSvXHL80hg0bhlq1auHixYt4/Pgx4uPjUatWLbi7u+Pjjz/G4MGDNQ64WrdujaVLl2Lr1q24d+8eN+3Yp59+qpS3du3a6NixI06dOqWTueVTU1O5GysmJiYwNzeHl5cXWrZsiX/9619aN6339vbG7Nmzuevy/v37MDAwgIODAzp27IixY8cqzfWuzfGXhqOjI0JCQrB8+XJERUUhMzMTzZo1w8iRI0XnZweAefPmwd7eHn/88QdSU1ORn5+PoUOH4ptvvpHszqGnp4d169bh119/xeXLl3Ht2jXJWnwx5fV9OnHiRDg7O+PSpUtISUlBSkoKrK2t0bZtW3z22Wfo379/qaYSJIQQXZIxUsOREkIIqRYuXbqEMWPGoG3btqJ9Tj8E6enp8PX1Rc2aNcu82XJZWblyJYKCghAYGIjJkydXdHEqnSFDhuDq1atYt25diQalI4QQQqoa6jNPCCGk2mMHwKP5oaunhIQEXL16tcznlieEEEIqEwrmCSGEVAt37tzBnj17BAPKMQyDgwcPcgOjDRs2rKKKR8pIYWEhli1bBqB4PIGKHhOBEEIIKS/U6YcQQki1kJGRgTlz5nD9eS0tLfHkyRNkZGQAKA70FAfzIlVXREQENmzYgCdPniA1NRV16tTBmDFjKrpYhBBCSLmhYJ4QQki10KRJEwQEBCAyMpIbwMzc3BwfffQRhgwZopPR2knl8eLFC0RFRcHU1BQ+Pj744YcfUKtWrYouFiGEEFJuaAA8QgghhBBCCCGkiqE+84QQQgghhBBCSBVDwTwhhBBCCCGEEFLFUDBPCCGEEEIIIYRUMRTME0IIIaXUrVs3uLi4ICkpqcLKsHLlSri4uGDlypUVVobKysXFBS4uLhVdjFIbPXo0XFxccOnSpYouSrUyc+ZMuLi4IDQ0tKKLQgghWqHR7Akh1U63bt2QnJys1Tr169fHqVOnyqhE5Ss0NBTJycn49NNP0aBBg4ouDpEwc+ZMHDhwAJ9++il++umnii6OkqSkJBw4cAD169fHoEGDtF4/NDQU33//vdp8pf3sVZfr/dKlS4iKikLbtm3h4+NT0cWpNuLj43HixAk0b94cPXr0qOjiEEKITlEwTwipdtzc3GBraytIy8vLw40bN7jlRkZGguU2NjblVr6yduDAAS4oqMrBDdGOlZUVnJycYGVlpZPtJScnIygoCG3bti1RMM8yMjKCm5ub5PLSfvY0ud6dnJxKtY/yEBUVhaCgIAQGBkoG83Z2dnBycoKJiUk5l67qio+PR1BQED799FPJYN7GxgZOTk6wsLAo59IRQkjpUDBPCKl2VqxYoZSWlJSE7t27AwB+++03CnJJtTNq1CiMGjWqoouhxMbGBrt27arQMvz1118Vun9dWbJkSUUXoVqaPn06pk+fXtHFIIQQrVGfeUIIIYQQQgghpIqhYJ4Q8kGbOHEiXFxccPLkSUF6QUEBWrVqBRcXF3z77bdK60kNmMQwDA4ePIhRo0ahdevWaNmyJfr06YOff/4ZGRkZJSojwzD4448/MHLkSLRu3Rpubm5o3749Bg0ahCVLluDp06cAivvcuri4ICoqCgAwZswYbuAvxbJeuXIFS5YswaBBg/DRRx/Bzc0NnTt3xrfffouEhASVZdm1axc++eQTtGzZEu3atcP06dPx5MkThIaGwsXFBTNnzhRd9+nTp1i4cCF69+6Nli1bonXr1hg9enSJak3fvHmDkJAQTJw4ET179kTLli3h7e0NPz8/bNu2DQUFBaLr8QdCO3PmDEaOHIlWrVrB29sbAQEBuHXrluQ+k5OTMWPGDHz00Ufw8PDAxx9/jB07doBhGK3Lr4mEhAR8++236NSpE9zc3NCuXTtMnjwZV65cEc0vNQAe/33Jy8vDypUr0bNnT7i7u6Nz585YtGgRsrKyBOuMHj0aY8aMAVDc/Jt/HXXr1q1MjpdVFte71AB4/IELo6KiMHbsWLRu3Rpt27bFpEmTkJiYyOU9efIkRowYAS8vL7Rp0wbTpk3Ds2fPRI8hMjIS8+fPxyeffIK2bdvC3d0dPXr0wNy5c5GSkqKU38XFBUFBQQCAoKAgwXHwP0+qBsAryXdPaT4PUvjn9OLFiwgICICPj49SuVNSUjB37lx069YNbm5u8PHxQUBAAM6cOSO6XXWD1Ild/926dePGbThw4IDgvI4ePVrttvnbfPv2Lf773/+iS5cucHNzQ8+ePbFq1SrJ7xoAuH//Pr7//nvBMU6YMAEXLlwQzZ+eno7FixejT58+cHd3h6enJ7p16wZ/f3/s2LFDcj+EkA8XNbMnhHzQ2rRpg1OnTiE6Opprhg8At27d4gKc6OhopfXYtDZt2nBpDMNgxowZOHLkCACgYcOGqFmzJu7evYuNGzfizz//xNatW9GwYUOtyrhkyRJs2rQJAGBvbw9HR0ekp6fj7t27uHnzJry8vFCvXj1YWFjAy8sLd+/eRWZmJuRyOczNzbnt1K5dm3v97bff4vHjx7C0tETdunVRt25dJCcn49ChQzh+/DjWr18v2m931qxZ2L9/PwCgQYMGqFWrFv7++2+cPXsWI0aMkDyGqKgofP3113j79i1q1KiBRo0a4e3bt4iKikJUVBTGjRuH7777TuNzcvr0acyePRuGhoaoW7cu5HI5MjIycOPGDVy7dg2RkZFYs2YN9PTE71nv2rUL8+bNQ506deDk5ISHDx/i7NmziImJwb59++Ds7CzIf//+fYwYMQIZGRkwNjZGkyZNkJ6ejvnz5+PevXsal1tTJ0+exDfffIO8vDzUrFkTLi4uSElJwfHjx3HixAnMmzcPQ4YM0Wqb+fn5GDduHC5fvowmTZqgfv36ePToEbZs2YKEhATuGgPAnc+7d+/C3NwccrmcW1bW40uUxfWuzokTJ7BkyRJYWlrCwcEBDx8+xIkTJ3D16lUcOHAAYWFhWLRoEerVq4eGDRviwYMHCAsLw61bt3Dw4EEYGxsLtjd+/HgUFRXB2toa9vb2KCwsRFJSEnbv3o2//voLO3bsQJMmTbj8Xl5eSE1NRWpqKuzs7GBnZ8ctc3R0VFv+0n73aPt50ERYWBiWL18OCwsLODg4oEaNGtyyq1evIiAgAG/evIGpqSnkcjlevnyJs2fP4uzZs/j6668xdepUrfepyM3NDYaGhkhMTETt2rXRqFEjbhn/mlbn7du3GDp0KB49eoSmTZtCT08Pjx8/xooVK5CamoqFCxcqrXP06FH85z//QX5+PszMzNCkSRO8ePECZ86cQUREBGbNmiW4ofD27VsMGTIEjx8/hqGhIRo1agRjY2M8ffoUkZGRuHr1KkaOHFm6E0IIqX4YQgj5ADx58oSRy+WMXC5nnjx5wqVfu3aNkcvlzKeffirIv2HDBkYulzMdO3Zk5HI58/jxY25ZSkoKI5fLmc6dOwvW2b59OyOXy5lWrVox586d49KfP3/ODBs2jJHL5Yyfn59W5X758iXTrFkzxtvbm7l8+bJgWU5ODnPkyBEmPj5ekD5q1ChGLpczFy9elNzugQMHBMfEMAyTn5/P7N27l2nRogXTvXt3prCwULD8zz//ZORyOePm5sb8/fffXHp6ejozbtw4xtXVlZHL5cx3330nWO/p06dM27ZtGRcXF2bt2rVMbm4utywmJoY7x6dOndLspDAMEx8fz5w+fVqwLYZhmMePHzMjR45k5HI5ExoaqrQeew14eHgw+/fv59Lfvn3LfP7554xcLme++eYbwTpFRUXMp59+ysjlcmbcuHFMeno6t+zIkSOMq6sr06JFC6VrS53vvvtO8nx5eXkxcrmcWbhwIXeMhYWFzJo1axi5XM64uroqve8rVqxg5HI5s2LFCkH6/v37uXX69u3LPHjwgFsWFxfH7evMmTOC9S5evMjI5XJm1KhRGh+T2H67du2q8Tpldb2z77uirl27cudm06ZN3DX/+vVrZsiQIYxcLmcmTJjAeHh4MIcOHeLWS0lJYbp3787I5XJmx44dStvdvXs38/TpU0FadnY29/6JnVOp90+TYy3pd09JPg/qsOe0efPmzMqVK5n8/HyGYYo/R7m5uUxWVhbTpUsXRi6XM1OnTmXevn3LrRsaGso0b96ckcvlTHh4uGC77OeFX04+dde/4udMk22z23R1dWVGjhwpeE9PnjzJlfXevXuC9eLj4xk3NzfG3d2d2bNnj+C79OTJk4yXlxfTvHlzwbUcHBws+h3DMAyTnJzMbN68WbL8hJAPFzWzJ4R80Fq0aAEzMzPcvn0bmZmZXHp0dDT09PQwbtw47m8W26xXsVZ+48aNAIApU6agffv23DIbGxssX74choaGuHr1qmQTSzGPHz9GUVERfH194e3tLVhmbGyMfv36oVmzZloccbGBAwcq1dIZGBjAz88Pffv2xZMnT5Sac2/evBkA8PXXXwtGhba0tMSvv/4qOcL25s2bkZGRgc8//xxffvmlYCYBLy8vzJs3DwCwZcsWjcvfrFkzdOnSRWlWgoYNG+J///sfAODw4cOS6w8ePFgwQru5uTnXHPfs2bOCvBcvXsTNmzdRo0YN/Pzzz7C0tOSW9evXD8OGDVPZ1FZbO3fuRGZmJpo3b45Zs2Zxx6inp4evvvoKnTt3Rn5+vqAmXRMFBQX46aefBCO7e3p6ws/PDwAQERGhs2PgS05OFjRvVnz897//5fKW1fWuTqdOnfDFF19wLTlq1qyJyZMnAwDCw8Ph5+eHjz/+mMtvZ2eHgIAAAMrXCwAMHTpUaUaNGjVq4KuvvoK3tzeioqIkm+hrSxffPdp8HjTVqVMnBAYGwsCguBGoTCaDkZERjhw5gpSUFNSpUweLFy8WtKb49NNPMXToUADA+vXrS7TfsqCvr49ffvlF8J5269aNa82leI5WrVqFvLw8zJgxA0OGDBG0EOrWrRv+/e9/o7CwENu2bePS2S4dI0aMEHzHAMUtVMaOHavbgyKEVAvUzJ4Q8kHT19eHl5cX16S0c+fOKCoqQmxsLFxcXNC9e3csWrQI0dHR3I/dy5cvAxAG8/fv30dqaiqMjY1Fmz/b2tqid+/eOHLkCCIjI/HRRx9pVD62ue3Vq1eRkpICe3v70h6yoMxhYWG4e/cuXr9+zQWkqampAIDbt2/Dy8sLAJCZmYmrV68CgOg0ZbVq1UKPHj1E+7MeP34cALigUVHHjh1haGiIuLg4FBQUcD/+1cnLy8OxY8dw6dIlpKamIjs7W9B//fbt25LrDh48WCnNxcUFxsbGePv2LdLT07kp3tgf6n369IG1tbXSeiNGjMD27ds1KrMmIiMjAUCySe2YMWNw5swZLp+mmjdvDnd3d6V0Ni0pKUnLkmpG3dR0/JtKZXm9qyJ2PTRv3lzl8hYtWgCQPm/Xr1/HsWPHcO/ePWRmZqKwsBAA8OjRIwDF16diwF8Suvju0ebzoKmBAweKpp87dw5A8feBYvcEoPj63rlzJ+Li4pCVlQVTU1Ot9lsWOnbsiHr16imlu7u74/jx43jy5AmXlpeXhzNnzkBfX19ySsdu3bphwYIFgpvE7LV/4sQJdO7cWePvQULIh42+KQghH7w2bdrg7NmziI6ORufOnXH79m28efOGq722s7PjauMB8Zp5tlbFzs5O8scn20eWP6iWOra2tujTpw/++usv9OrVCz4+Pmjbti28vb3h6elZ4h9869atw/Lly1FUVCSZ5/Xr19zrx48fg2EYWFpaSgYgYgOMvXv3DsnJyQCAH3/8UWWZcnNzkZGRgTp16qgtf0pKCsaNG4eHDx9qVH5FDg4OounW1tZITU1FVlYWF7yw75dUv2FHR0cYGBjorHae3R+/TzVf06ZNAQAvXrxAZmamoGZTFan+0uwNinfv3mlZUs1oMzVdWV3v6ohdD/wbN2LL2etD8bwxDIP58+dj586dKvep6vrUhi6+e7T5PGhK6vOi7vp2dHSEoaEh8vPz8fjx4zJpiaEtdZ8d/gCSiYmJyM3NhaGhIcaPHy+6HnvTkd86Y9CgQQgODkZoaCgiIiLQsWNHeHt7w9fXV+txVgghHw4K5gkhHzw2KGdrSdhgvW3btgCA1q1b4/Dhw0hNTYWBgQESExNhY2MjaK7M/qBXNegWG6Tyf/zv27ePG1COj21ODRQPCNakSROEhITg3LlzXM2WtbU1AgICBM2DNREdHY1ff/0V+vr6mD59Orp16wZ7e3uYmJhAJpNh2bJlWLt2rSA4ZX+smpmZSW5XbBm/60JsbKzasuXk5Gh0DDNnzsTDhw/h4eGByZMno3nz5qhVqxYMDQ1RUFAAV1dXlcG1VNDDnkd+DT977FLBjJ6eHqysrJCWlqZR2dVh9yd1LfHT3717p3Ewr+6YKwtdX++a4A/OxpLJZNxrsS4k/OV8Bw8exM6dO2Fqaopvv/0W7du3h62tLbePGTNm4PDhwzq7+VPS7x4+bT4PmpLqdqPu+pbJZLC2tsazZ8/K7AaTtrQ5P2/fvgVQPOCkuu+83Nxc7rWtrS327NmD3377DeHh4Thw4AAOHDgAoLg7zMyZM9GqVatSHQchpPqhYJ4Q8sFzd3dHjRo1cOPGDWRlZSE6OhoymYzrs9u2bVscPnwYUVFRMDQ0BCCslQfeB7IvX76U3M+LFy8EeYHiJu1iP/j42zE2NsbkyZMxefJk3L9/H5cvX8bp06dx5swZLFmyBADg7++v8fGyfcn9/f0xYcIEpeXs1F987I9ZxSnM+MR+ePN/BN+4cYM7f6Xx7NkzXLp0CSYmJli/fr1S/1K2m4CusMeQnp4uuryoqKjE0w5K7e/t27d4+fKlaI0p/9pQdXOlqtL19V7e2M/Xd999h2HDhiktF/t8lUZJv3sqCvt5kiovwzB49eoVAGF52ZsnUjcWVH03lSe2zLa2tlqPQ+Hs7IwVK1YgLy8PcXFxiI6ORlhYGK5cuYJx48bh8OHDaNCgQVkUmxBSRVWu2/GEEFIBDA0N4enpiYKCAsTFxSEmJgZNmzblmlCygXtUVBRXe9+6dWvBNtjpo1JTUyVrk9gpzPhTTU2ePBl37txRekj1tXR2dsbQoUOxdu1azJ07FwCwd+9erY6XbfYuVcsj1tfcwcEBenp6SE9Px/Pnz0XXu3PnjlKahYUF6tatCwA6m8KNnae7cePGSoG8VDlKg32/Hjx4ILr80aNHyM/P1/n+pM5XQkICgOLaVk1r5UtCqua5POniei9vbB96sc9Xfn4+7t+/L7peSc93Sb97Koq66zsxMRH5+fnQ19cX3Mxia/rZQF/R48ePRdPL+zpu1KgRDA0NkZaWVuKbfEZGRvDx8UFgYCCOHDkCLy8vZGVlISwsTLeFJYRUeRTME0II3gfsO3bsQHp6uqDm3cnJCTY2NoiOjuaCebYJPsvZ2Rn29vbIzc1FSEiI0vafPXuGY8eOAQA6dOigkzJ7enoCgFJwzTbnlWqyzg46JVYzdu7cOdFg3tzcHB4eHgDANf3ke/v2LU6ePCm6v169egEAtm7dKrpcW+zxvXz5UrSWjh3ZW1fY9+uvv/4SrZ1X1ze6pPvbsWOH6HJ2sD1dXUdS1F1H5a2k13t541+fikJDQyWDUfZzqe1xVMR3T2mwZQgJCRE0M2ex17eXl5egZQ/bb/z69etK6zx9+pTrjqGopOe1pExMTNChQwcUFRXpZGBMfX19bpBKqRuphJAPFwXzhBCC98H8qVOnBH+zWrdujUePHiEhIQFWVlZKgzfJZDKu6e/KlSsFU0C9ePEC06ZNQ35+Pjw9PeHr66txuS5cuIDFixcr1WK9e/eOC1pdXV0Fy9gfvfyRkvnY7gPr168XjMJ87do1/PDDD6IjTAPgpkZavXo1d56A4oG8/v3vf0s2cx0/fjwsLS1x4MABLFq0CG/evBEsz8jIwL59+7B69WrR9RU1adIEtWrVwtOnT7FmzRouoM/NzcXChQtx69YtjbajqY8++ggtWrRAdnY2/vOf/wgGLjt69Ch27dql04HZhg8fDnNzc8THx+N///sf8vLyABQ359+wYQPCw8NhaGiIL774Qmf7FMM25713755kAKprZXG9lzf287V8+XLBeYuIiMCSJUskP1/scbCzOmiqrL57ykr//v1hb2+PFy9eYObMmYLWBAcPHsSePXsAQGnwuE6dOgEATp48iTNnznDpz58/x4wZM7jZAhTxbwJkZ2fr9FikTJ06FUZGRlizZg3Wr1+vdCPh+fPn2Lp1q2BgyGXLliEkJETp+/Hu3bv4888/AbyfQYEQQljUZ54QQlBc68eOoAwoB/Nt2rThflC1adNGtOnmyJEjERcXhyNHjmDs2LFo1KgRzM3NcffuXeTn58Pe3h6//PKLVuV69+4dNm3ahE2bNsHa2hr29vYoKCjAo0ePkJ2dDQsLC24+aFbfvn2xY8cObNiwAX///TdsbGwgk8kwfvx4dOrUCUOHDsWuXbvw+PFj/Otf/4KTkxPy8/Px8OFDNGnSBH379uXmlOfr06cPPvvsM+zfvx8TJ05Ew4YNUatWLdy7dw/Gxsbw9/fH2rVrlQYnq1evHlavXo1JkyZhy5Yt2LFjB5ycnGBiYoJXr14hKSkJDMOgb9++Gp0TQ0NDTJ06FfPnz8dvv/2GnTt3wtbWFomJiXj37h0WLFiA2bNna3WeVZHJZFiyZAlGjRqFiIgIdOrUCU2aNEF6ejqSk5MxYsQInDlzhuu+UFq2trZYsmQJpk6diq1bt+KPP/6Ag4MDUlJS8PLlS+jp6eHHH38s81G+ra2t4evri4sXL6JHjx5o0qQJjI2NUadOHSxbtkzj7aSlpWH48OEq82zcuBFmZmZlcr2Xt4CAAISFheHq1avo2rUrnJyc8ObNGyQnJ8PHxwd169bl+tXzdejQAbVq1UJMTAy6dOmChg0bwsDAAB07dhQd24KvLL57yoqJiQmWL18Of39/HD16FOHh4WjcuDFevnzJjXcxceJEbgBQlrOzMwYPHox9+/ZhwoQJaNCgASwsLJCQkAAHBwcMHz5cMG87y9XVFY6OjkhMTESXLl3g5OQEQ0NDNGvWDLNmzSqTY2zevDl+/fVXfPvtt1i6dCmCgoLQuHFjrvk9e5z8GxYJCQlYu3Yt5syZw323vn79mpvK0MfHBwMGDCiT8hJCqi6qmSeEEBQ3xWzZsiWA4r7YitOj8ZvVK/aXZ8lkMvzyyy9YvHgxWrdujZcvXyIhIQH169eHv78/QkNDtZ5iyNvbG7Nnz0bXrl1hamqK+/fvIzk5GQ4ODggICMCff/6pVFPZunVrLF26FC1btsTz588RHR2NqKgobhAsc3Nz7Ny5EwMHDoS5uTkePnyI/Px8fPHFF9izZ4/KQbIWLlyIuXPnQi6X49mzZ0hJSUHXrl0REhLC9Y0XW9/b2xtHjx7FV199BWdnZyQlJeHOnTvQ09NDx44dMXfuXK1+WI8cORI///wzmjdvjoyMDDx+/Bhubm5Yv3695Hz2pdG0aVPs27cP/fv3R40aNZCQkAAzMzP8+OOPmDNnTom2ydYkig0K2L17d4SGhuLjjz+GkZERbt++DYZh0LNnT+zcuRNDhw4t1fFoaunSpRg0aBDMzc1x8+ZNREVF4erVq1ptIy8vD7GxsSof7Lkoi+u9vNnb22P37t3o1asXDA0N8eDBA25Qv40bN0q24jA3N0dwcDA6deqE/Px8XLlyBVFRUZJjNfCVxXdPWfLw8MDBgwcxdOhQWFlZ4c6dO8jKykKHDh2wfv16fPPNN6LrzZs3D1OmTIGDgwOePXuGV69eYejQodizZw9q1qwpuo6enh7WrVuH3r17Q19fH9euXUNUVJRodyJd6tmzJ8LCwjBmzBjUr18fDx8+xL1791CjRg307NkTixcvFtykmThxIiZMmAB3d3dkZWUhPj4eOTk5aNu2LRYvXoxNmzbR3POEECUypiTzjRBCCCEKFixYgN9//x3ff/891ySfSPvqq69w+vRp+Pv74z//+U9FF4cQQgghVQzVzBNCCCm1d+/ecYNseXl5VXBpqoa7d+8CKG4+TAghhBCiLQrmCSGEaGzLli2Ij48XpD179gxTpkxBWloaXF1due4KRNqWLVuQnJzM9YkmhBBCCNEWdb4hhBCisZMnT2LRokWwsLBAw4YNkZeXhwcPHqCoqAhWVlb46aefKrqIlZq/vz/u3LmDtLQ0AMWDpbFjDRBCCCGEaIOCeUIIIRobM2YMatasiVu3buHBgwdgGAYODg7o2LEjxo8fD1tb24ouYqV27do15Ofnw9XVFUOHDi23gewIIYQQUv3QAHiEEEIIIYQQQkgVQ33mCSGEEEIIIYSQKqbaNbNPT08v933WqlULr1+/Lvf9EqJrdC2T6oSuZ1Jd0LVMqhO6nkl1UdbXspWVldo8VDOvA3p6dBpJ9UDXMqlO6Hom1QVdy6Q6oeuZVBeV4Vqu+BIQQgghhBBCCCFEKxTME0IIIYQQQgghVQwF84QQQgghhBBCSBVDwTwhhBBCCCGEEFLFUDBPCCGEEEIIIYRUMSWemu7vv//Gzp07cevWLWRnZ6NOnTrw9PTEt99+Czs7Oy5fZmYmVq5ciePHjyMtLQ02Njbo1asXJk+eDHNzc9FtHz58GFu3bsW9e/dgaGgIT09PTJkyBe7u7iUtLiGEEEIIIYQQUm1oHcwzDIO5c+diz549cHBwQN++fWFmZobnz58jOjoaycnJXDCflZWFUaNGIT4+Hu3bt0e/fv1w+/ZtbNmyBZcuXcLOnTthamoq2P7atWuxbNky2NvbY9iwYcjKykJYWBiGDx+O4OBg+Pj46ObICSGEEEIIIYSQKkrrYH779u3Ys2cPRo4ciVmzZkFfX1+wvKCggHu9ceNGxMfHIyAgAN9++y2XvmLFCqxatQobN27ElClTuPTExESsXLkSjo6O2LdvHywsLAAAo0ePhp+fH2bPno0///wTBgYlblBACCGEEEIIIYRUeVr1mc/JycGqVavQsGFD/PDDD0qBPAAu0GYYBiEhITA1NcWkSZMEeb788kvUqlUL+/btA8MwXHpoaCgKCgowceJELpAHgKZNm2LAgAF4/PgxLl68qNUBEkIIIYQQQggh1Y1WwXxkZCQyMjLQo0cPFBUV4fjx41i/fj127dqFR48eCfImJibi+fPn8PLyUmpKb2xsjNatW+PZs2eC9aKiogAA7du3V9p3x44dAQDR0dHaFJkQQgghhBBCCKl2tGqvfuPGDQCAvr4+PvnkEzx8+JBbpqenh7Fjx+K7774DAC5Id3R0FN1Wo0aNuHxsnsTERJiamsLGxkYyf2JiojZFJoQQQgghhBBCqh2tgvmXL18CADZv3owWLVogJCQEzs7OiI+Px48//ohNmzahYcOGGDFiBN6+fQsAkiPWs+lsPqB45Htra2uV+TMzM1WWsVatWtDTK/8Z96ysrMp9n4SUBbqWSXVC1zOpLuhaJtUJXc+kuqjoa1mrYJ7t325oaIhVq1bB1tYWANC6dWusWLECn3zyCTZv3owRI0bovqQaev36dbnv08rKCunp6eW+X0J0ja5lUp3Q9UyqC7qWSXVC1zOpLsr6WtbkRoFWwTxbO+7m5sYF8qymTZuiYcOGePToEd68ecMNYCdVk86m8we6Mzc3F9TUi+WXquknpNwwhRVdgrJTVFg+xydTHjyTEEIIIYQQojmt2qM3btwYgDAA52PTc3Jy1PZxZ/vUs/mA4v71WVlZSEtLk8wv1QefEEIIIYQQQgj5UGgVzPv4+AAAHjx4oLQsPz8fjx8/hqmpKaytreHo6Ii6desiNjYWWVlZgry5ubm4fPky6tatKwjm27RpA6B41HxFZ8+eFeQhhBBCCCGEEEI+VFoF8w4ODujQoQMePXqEkJAQwbL169fjzZs36NGjBwwMDCCTyeDn54esrCysWrVKkHfdunV4/fo1/Pz8IJPJuPRBgwbBwMAAa9asETS3T0hIwMGDB+Hg4ABfX9+SHCchhBCi0pEjR+Dr64sjR45UdFEIqfIGDhyIgQMHVnQxNObr64uJEydWdDEIIUQrWvWZB4C5c+di2LBhmD17Nk6cOIHGjRvj1q1buHjxIurXr4///Oc/XN6AgACcOnUKGzduRHx8PFxdXXH79m1ERESgefPmCAgIEGzbyckJgYGBWL58OT755BP07t0bWVlZCAsLQ0FBARYsWAADA62LTAghArKc1IougiSmhl2pt5GSkoJBgwYJ0gwMDGBtbQ1PT0+MHj0aTZs2LfV+PhS+vr5o1aoV1qxZU6b7uXr1Kvbs2YPr168jPT0dJiYmsLa2houLC3x8fNCvX78y3X9ldeXKFZw5cwaxsbFITU1FTk4O7Ozs0LFjR3z++eeSXf9Kq7ze97I2cOBAPH36VGWev//+W+vzOH/+fBw9ehShoaGwt7cvTRHLxcSJExEXF4eLFy9WdFEIIURntI6MHRwcsH//fqxYsQJnz55FZGQk6tSpg5EjR2LSpEmoXbs2l9fU1BTbt29HUFAQjh07hqioKNSpUwdjx45FYGAgTE1NlbY/ceJE1K9fH1u3bsWuXbtgaGiIVq1aYcqUKWjZsmXpjpYQQj4gDRo0QO/evQEA2dnZuHHjBo4fP47w8HAEBQXRd6qCLl26wM3NDXXq1Cn3fR85cgT//e9/oa+vj3bt2qFhw4bIzc1FcnIyzp8/j7i4uA82mP/hhx/w+vVrtGzZEn379gUAxMbG4vfff0d4eDjWr18vOa0tKaavr4+xY8dKLjcyMtL5PoOCgnS+zbK0e/du1KhRo6KLQQghWilRNbednR0WLVqkUV4LCwt8//33+P777zXe/ieffIJPPvmkJEUjhBDyjwYNGmD8+PGCtLVr12LLli1Yu3YtVq9eXUElq5zMzc0rZMaUnJwc/PrrrzA1NcX69evh7OwsWF5QUICYmJhyL1dlMWzYMPTt21dwk4VhGPz8888IDQ1FcHAwvv322wosYeWnr6+v9F1Q1ho0aFCu+ystGmCZEFIVUZt1Qgj5gPj5+WHLli2Ij4/n0tjmxPPmzcPatWtx8eJFpKenIygoCN7e3gCAsLAwhIaGcgOgNm7cGIMGDVKqLY6JicGkSZPg7++P1q1bY/369bh9+zYMDQ3h6+uLwMBA1K1bV6lcr169wrZt23Du3Dk8e/YMpqamaNWqFcaPH68U3LL9cHft2oV169bh5MmTyMjIgIODA/z9/dGtWzdB/szMTOzcuROnTp3Cs2fPoKenhzp16sDNzQ0TJkzgplo9cuQIFi5ciNmzZ6N///7csQBAXFycYMyW2bNnAwAWLlyIwMBAjBo1SumYzp8/j2nTpmHIkCGYNm2a5Hty//59ZGVloVOnTkrHChR3kWAHoFUUERGB/fv3Iz4+Hjk5OYKuFPxtvX79Gps3b8aZM2fw4sULmJubw8vLCwEBAXBychJsk20+vX//fkRERODQoUNISkpCz549MWfOHADavV+PHz/G1q1bERsbi5cvX8LExAS2trbw9vbG1KlTJc8La8yYMUppMpkM48aNQ2hoKOLi4tRugy8mJgbbt2/HvXv38Pr1a9SqVQsNGzZEnz59MGDAALXve//+/ZGZmYnQ0FBcuHABT548QUZGBiwtLdGmTRv4+/uLBrIZGRlYs2YNIiIikJWVhcaNG+Pzzz9HZmam4LrjS0hIwNatW3H16lWkp6ejTp066NChA8aPH49atWppddyaevHiBbZt24bz588jLS0NxsbGsLGxgYeHByZNmgQzMzNB031+lx5+twT2c/rHH39wyzds2IDg4GCsWrUKqamp2LVrF5KSkmBtbY1hw4Zh6NChYBgGe/fuRWhoKFJTU2Fra4tx48bhX//6l6Ccjx8/xsGDBxEdHY2nT58iJycHtra26NKlC7744gtB60/+e8h/3bdvX+6alupWUZLPTmhoKM6fP4+QkBCkpqbC2toa/fv3x7hx46Cnp9VwVeWmsBxn3S0sLN/9lTV9mm2XVCAK5gkh5APCH3SU782bNxg/fjxq1qyJHj16ID8/H2ZmZgCA5cuXY/fu3bCxscHHH38MmUyG06dPY8GCBUhISMA333yjtL2bN29i27ZtaNeuHYYMGYI7d+7g+PHjuHr1KjZt2iTokpWUlISvv/4aaWlp8PHxQadOnZCeno7Tp0/j0qVLWLlyJdzc3ATbLywsxJQpU/DmzRt07twZubm5+PvvvzFr1iwsX76cC34ZhsHUqVNx8+ZNtGzZEr6+vtDT00NqairOnDmDvn37csG8Ijs7O/j7+yM4OBj16tUT3LiQy+VwcHDA8uXLcejQIdFg/uDBgwCgtqVZzZo1ARSPdVBUVKTxj/2VK1dix44dqFmzJjp37gwrKys8e/YM0dHRaNasGRdUv379Gv7+/khKSoKXlxd69uyJ1NRUnDp1CufPn8eKFSvg7u6utP2lS5fixo0baN++Pdq3b881Zdfm/UpLS4O/vz+ys7PRvn17ODg4IDs7G0+ePEFISIhGwbwUdgwdfS1+SUdGRmLGjBmwsLBAx44dUadOHaSnpyMhIQHHjh3DgAED1L7vQPG0uxs2bIC3tzc6d+6MGjVq4NGjRzh+/DgiIyOxdetW2Nm9H/8iKysLEydOxMOHD+Hh4QEPDw+kpaVhzpw5aNu2rWhZIyIiMHv2bOjp6aF79+6wtLREYmIi9u3bh0uXLiE4OJi7dnQlJycHEyZMQGpqKnx8fNC5c2cUFBQgOTkZYWFhGDVqFMzMzDBs2DCEhYUhISEBQ4cO5Vq08I9ZlT179iA2NhadOnWCt7c3Tp8+jWXLlqFGjRpISEjAqVOn0L59e3h7e+PEiROYN28e7Ozs4OnpyW0jPDwchw8fhre3N7y8vMAwDG7cuIHt27cjLi4Oa9eu5a4Rf39/hIWF4enTp/D39+e2wb6fUkr62QkKCkJsbCzat28PHx8fREREYOPGjcjPz6dB9gghOkXBPCGEfED27t0LAGjevLkg/f79++jfvz++//57QXB05coV7N69G46Ojti4cSP3o338+PHw9/fH7t270aVLF8GPbAC4ePEifvjhB0EgGxwcjA0bNmDt2rWYNWsWlz5v3jy8fPlSEIQDwBdffIGxY8di0aJF2LFjh2D7aWlpaN68OVavXg1DQ0MAQK9evTB58mTs2rWL2879+/dx8+ZNdO7cGYsXLxZsIy8vDwUFBZLnyt7eHuPHj0dwcDDs7OxEmyn36dMH+/btQ1xcHFq1asWlv3r1CpGRkXB1dUWTJk0k9wEUN0d2cXHBnTt3MGnSJPTr1w+urq5wcHCQDFTPnz+PHTt2wNnZGatXrxbU0hYUFOD169fc30FBQUhKSsLnn38uCCT69euHb775BvPnz8eePXuUbiLcu3cP27ZtQ7169QTp2rxfp0+fxtu3b/Hvf/8bQ4cOFWwnIyND5XlR5/DhwwAgGQxLrcMwDFatWqU0CCR7zjR53x0dHXHkyBGl2vGYmBhMnjwZmzdvxg8//MClb9++HQ8fPsTgwYMxY8YMLr1///5cKwDFssybNw+WlpZYv349mjdvjvT0dADA8ePHMWfOHKxfv16wLVUKCwuxYcMG0WW1a9fmatejo6ORkpKCYcOGKd2ke/fuHde3ftiwYbh79y4XzGs7AN6VK1ewdetW1K9fHwAwcuRIDB48GCtXroS1tTV27NgBKysrAMXXqb+/P3bs2CH4nunTpw+GDx/Off5Z7PfMiRMn0KdPHwDF31exsbF4+vSpVt0NSvrZuX37Nn7//Xeua8i4cePg5+eHkJAQBAQEKJWZEEJKqnK29SGEEFJqSUlJ2LBhAzZs2IAVK1ZgwoQJ2LJlC4yNjZVqhwwNDREYGKgUPIaFhQEonp2E35/c3Nycm5GEzcPXqFEjfPzxx4K0kSNHwsrKCsePH0d+fj4A4M6dO7h+/Tr69u2r1JTcwcEBAwYMwP3793H//n2lfXzzzTeCH8Vt2rRBvXr1cOvWLaW8xsbGSmlGRkaiA7Fqg21KfOjQIUH60aNHUVBQgAEDBqjdhkwmw//+9z+4u7sjLi4OCxcuxPDhw9G9e3cEBgbiyJEjKFRok7pv3z4AwLRp05QCSgMDA67lQ35+Po4fP45atWrhiy++EOTz9fWFr68vnjx5gmvXrimVa+TIkUqBfEnfL7Hzb2lpqeKsqHb37l0EBwfDysoKo0eP1np9sfJo02zd3NxcNL+3tzecnJwQHR0tSP/rr79gZGQkqBVm84tNuXv06FG8e/cOEydOVHoPevXqBRcXF5w4cULj8hYWFiI4OFj0ceDAAaX8YufHzMxMZ0HokCFDuEAeAGxtbeHh4YHMzEyMHTuWC+QBwNXVFfXr10dCQoJgG3Xr1hUtz+DBgwFA6T3QVmk+O+PGjROM8WBpaYmOHTsiKysLjx49KlW5CCGEj2rmCSGkmkpKSkJwcDCA91PT9erVC2PGjFGqLba3txcNru7cuQMA8PLyUlrGpin+yAaAli1bKjXpr1GjBlxcXHDx4kU8fvwYzs7OuHHjBoDimmyxmkP2h++jR48EfbEtLCxEawPr1q3LbRMorkF1dnbG8ePH8fz5c3Tq1Amenp5wcXHRqnm2lCZNmsDd3R2nTp3C9OnTuRsehw8fhqmpKXr06KHRdurXr48NGzbg7t27iI6Oxq1bt3D9+nVcvnwZly9fxp9//olly5ZxNaO3bt2CkZGRoDWAmMTEROTm5sLLy0t0pG4vLy9cvHgRCQkJSq0rXF1dlfJr+3516NABq1evxi+//ILo6Gj4+vrCw8MDDg4OGp0XMSkpKZg+fTqKioqwcOFCpetWrFzDhg2DhYUFunfvjvDwcAQEBKBnz57w9vaGp6dniUbDj4mJwZ49e3Dz5k1kZGQIbrjwg8x3794hNTUVjRs3FgSpLHd3d6Xp0tjzfPPmTSQlJcHExATZ2dnc8ry8PGRkZHB99dUxMjJCRESE2nytWrVC7dq1sW3bNiQkJKBdu3bw8PBAkyZNJLvolIRY83b2BpTYtJm1a9fGzZs3BWkMw+DIkSMICwvDgwcPkJmZiaKiIm75ixcvSlXG0nx2XFxclPKzY4VkZmaWqlyEEMJHwTwhhFRTvr6+WL58uUZ5pYKZrKws6OnpiQYh1tbW0NPTE/1xKpafvx92nTdv3gAo7sscGRkpWT5+IAOA68+vSF9fX/CD3sDAAKtWrcLGjRsRHh6OFStWACiuKfPz88PYsWNLHdQPGDAACxcuxF9//YXBgwfjypUrePToEQYMGKB1zb9cLhcEOjExMfi///s/xMTEYP/+/Rg+fDgA4O3bt7CxsVHbv/7du3cApN9fxfdDbBmftu+Xvb09N+jZhQsXcPLkSQDFLTcmTJiA7t27qyy/otTUVHz99dfIyMjAokWLuAEa+dgbWHz9+vWDhYUFevbsCQMDA+zZswd//PEH9u/fD5lMBi8vL0ydOlVtH2rWyZMnMXv2bJiYmMDX1xd2dnZcwMf2zWax74FU0K3qPLMtMKRkZ2eXqoWDInNzc2zYsAEbN27EuXPncP78eQDFgeiYMWO4Wu/SEvv8sp9DqWWKrVOWLl2Kffv2wdbWFh06dECdOnW4myjBwcHIy8srVRlL89lRdXyKx0EIIaVBwTwhhBBJpqamKCoqQnp6utKP2levXqGoqEj0hyvbv1fRq1evAICrwWbXnT59Ovz8/HRZdI6lpSVmzJiB6dOnIzExETExMQgJCcGGDRtgYGCAzz//vFTb79GjB3777TccOnQIgwcP5prca9LEXh1vb298+eWXWLhwIS5fvswF8xYWFtz5VxXQs+eXPe+K2HSpmyNS29Pm/WratCl++uknFBQU4Pbt27hw4QL27t2L2bNno06dOvDw8NBoOykpKZg0aRJevHiB//3vf+jQoYNoPsVabkVdu3ZF165d8e7dO1y7do0bSG3q1KnYu3cvLCws1JZl48aNMDIywpYtW5RaGSg2f2fPmdQYAWLvDbsOOy6ClZWV5GdK1+zt7TFnzhwUFhbi/v37uHTpEvbu3YtffvkFNWvWRK9evcqlHKq8evUK+/fvR5MmTbBx40ZBzfnLly9Fb+hoS9efHUIIKQvUZ54QQogktrlobGys0jJ2SjCx2sxr166BYRhBWk5ODu7cuQNjY2MuAGKbcl+/fl2n5RYjk8ng5OSEwYMHczX0Z8+eVbuenp6eoLZfUY0aNdC7d2/cvXsXsbGxOHXqFJo0aYIWLVropNxiTXxbtGiBvLw8tdOyOTo6wtjYmJu6TpGq91BMad4vAwMDuLm5Yfz48Zg2bRoYhlFZu8+XkpLCjaC/cOFCdOrUSev9KzIzM8NHH32E77//Hv369UN6erqgKbeq9z05ORmOjo5KgXxaWhqSkpKU9mNnZ4ekpCTRgFzsXJbn50KKvr4+5HI5Ro8ejQULFgAQfl7YmmZVn42ykpKSAoZh0KZNG6XPx5UrV0TX0bZmXNefHUIIKQsUzBNCCJHUt29fAMXNVtlmp0BxE1S29ovNw/fo0SNutHHWjh07kJ6ejl69enHNYV1dXeHq6oq///4bf//9t9J2ioqKRG8kaColJQUPHz5USmdr1cQG+lJUs2ZNPH/+XGWeTz/9FAAwd+5c5OTkaFUrn5KSgpCQEMH5ZWVnZ2PPnj0AIKjBZps7//rrr4KR64Hi0exfvnwJoLjvds+ePZGRkYGtW7cK8kVFReHChQto0KABWrZsqVFZtX2/bt26JVqzqc355wfyCxYsQJcuXTQqq5jo6Gjk5uZqVB5V73u9evWQlJTEnWcAyM3NxZIlS0SDxd69eyMvL0+pxjgmJka0JUH//v1hamqKdevW4cGDB0rLc3JyBGND6Mr9+/eRmpqqlC51fgCo/WyUBXZQwOvXrwtuJjx//hyrV68WXUfb8ur6s0MIIWWBmtkTQgiR1KpVK25KpREjRqBr165gGAbh4eF49uwZhgwZIjoIm4+PD37++WdERkbC0dERd+7cwcWLF2Fra4uvvvpKkHfBggX4+uuv8eOPP2LPnj1o1qwZjIyM8OzZM1y/fh0ZGRkaDd4lJiEhAd999x1atGiBxo0bo3bt2khLS8OZM2egr6+PESNGqN2Gt7c3Tp48ie+//x5yuRz6+vpo166dYBBBZ2dnuLu74/r16zA2NuamxNJEZmYmli5diqCgIHh4eKBx48YwNjZGWloazp07hzdv3qBZs2YYMmQIt067du0wcuRI7NixA35+fujcuTOsra2RlpaG6OhojBw5EsOGDQMATJo0CXFxcdi8eTOuX78OV1dXbq7sGjVqcHOZa0qb9+vYsWPYv38/vLy80KBBA5iZmeHhw4e4cOECLC0tlWY8EPP111/j6dOncHNzw71793Dv3j2lPJpON7ZixQo8e/YMrVq1gp2dHWQyGa5evYpbt27B3d1dEJipet/9/PywdOlSfP755+jatSsKCwsRFRUFoLhbgeKgkKNHj8bp06exb98+3Lt3Dx4eHnj+/DlOnjyJDh064Ny5c4L3wMrKCgsWLMAPP/yA0aNHo2PHjrC3t0deXh5SU1MRFxeHli1bajwmhqqp6YDiMQXs7e0RHR2NFStWoGXLlmjUqBFq1aqF5ORknDt3DsbGxoI+897e3tixYwcWL16Mbt26wcTEBLa2tujdu7dGZSqNOnXqoGvXrjh9+jTGjh2LNm3acNNBent7Izk5WWkdb29vnDp1CrNmzcJHH30EY2NjODs7o3379pL70fVnhxBCdI2CeUIIISpNnz4dLi4uCA0NxR9//AEAaNy4McaPH4/+/fuLruPm5oaxY8di3bp12LNnD1fLFRgYyI1azbK3t8e2bduwa9cuRERE4PDhw9DX10ft2rXh6emJbt26lbjszZs3x5gxYxAbG4vIyEhkZmaidu3a8PHxwciRI0VHbFc0bdo0AMW1qGfOnEFRURGsra2VZgTo168frl+/jq5du2rU75rl6OiIRYsW4dKlS7h58yb++usvvH37FmZmZnByckKXLl0waNAgpVrsyZMnw83NDfv27cPp06eRl5eH2rVro3Xr1oK5162srBAcHIxNmzYhIiICV65cgbm5OTp16gR/f3/BLAGa0Ob96tmzJ/Ly8nDt2jXEx8cjLy8PdevWxWeffYaRI0dyI3yrwg4md+PGDcnaaE2D+TFjxiA8PBx37tzBpUuXYGBgAHt7ewQGBuKzzz4TDIao6n0fPHgwDAwMEBISgkOHDsHc3Bzt2rXDxIkTMWvWLKX9mpmZYe3atVi9ejXOnj2L+Ph4ODk5Yf78+VywrNj3un379ti2bRt+//137vo1MTGBjY0N+vfvr9UNI3ZqOileXl6wt7eHj48P/Pz8EBcXh/DwcGRnZ8PGxgY9evTAqFGj4OTkxK3Trl07BAYG4uDBg9i+fTsKCgrQqlWrcgnmAeDHH3+EnZ0dTp8+jZCQENja2mLYsGEYM2aM6HgKAwYMQGpqKk6cOIEtW7agsLAQffv2VRnM6/qzQwghuiZjFDs1VnHlNUAMX3kOTEMqAab6jkRrZWmF9IxyuJZlpZ8SjFROMTExmDRpEvz9/TUOsMpKeX83L1myBKGhoVizZo3aKeMIYc2dOxfHjh3Drl27BMEyH/3OIGWtPAfZr27Xsw5mOSVVVFlfy1IzA/FR2yBCCCGklNLT0/Hnn3/C0dGRAnkiSmze89jYWJw4cQKNGjWSDOQJIYQQKdTMnhBCCCmhyMhI3LlzB6dOnUJ2djb8/f0rukikkpo2bRqMjY3RtGlTmJiY4OHDh7h48SL09PS4Jv2EEEKINiiYJ4QQQkro5MmTOHr0KGxsbDBx4kT07NmzootEKqm+ffvi2LFjOHHiBN69ewcLCwt06NABY8aMgZubW0UXjxBCSBVEfeZ1oLr1/SFqUJ/50qM+86Qc0HczqS7oWiZlrbR95rVZv7pdz9r2mac+9tVHZegzTzXzhBBCCCGEkDKhGOgXFpbvgHtVCQX6RFs0AB4hhBBCCCGEEFLFUDBPCCGEEEIIIYRUMdTMnhBCCCGEECJJXbN4VcupmX0xakJPygLVzBNCCCGEEEIIIVUMBfOEEEIIIYQQQkgVQ8E8IYQQQgghhBBSxVCfeUK0VY3nmUdRYcmOj+aNJ4QQQgghpFxRME8IIYQQQggpMRoATzM0CB7RNWpmTwghhAA4cuQIfH19ceTIkYouCiFV3sCBAzFw4MCKLobGfH19MXHixIouBiGEaIVq5gkhH5zUVFlFF0GSnR1T6m2kpKRg0KBBgjQDAwNYW1vD09MTo0ePRtOmTUu9nw+Fr68vWrVqhTVr1pTpfq5evYo9e/bg+vXrSE9Ph4mJCaytreHi4gIfHx/069evTPdfWb169QqHDx/G7du3cfv2baSmpgIALl68WKb7La/3vawNHDgQT58+VZnn77//hoWFhVbbnT9/Po4ePYrQ0FDY29uXpojlYuLEiYiLiyvz64YQQsoTBfOEEFJNNWjQAL179wYAZGdn48aNGzh+/DjCw8MRFBSEli1bVnAJK5cuXbrAzc0NderUKfd9HzlyBP/973+hr6+Pdu3aoWHDhsjNzUVycjLOnz+PuLi4DzaYf/jwIdasWQOZTIaGDRuiRo0ayMnJqehiVSn6+voYO3as5HIjIyOd7zMoKEjn2yxLu3fvRo0aNSq6GIQQohUK5gkhpJpq0KABxo8fL0hbu3YttmzZgrVr12L16tUVVLLKydzcHObm5uW+35ycHPz6668wNTXF+vXr4ezsLFheUFCAmJiYci9XZeHo6Ig1a9ZALpfDzMwMQ4cOxaNHjyq6WFWKvr6+0ndBWWvQoEG57q+0HB0dK7oI1Rb1mdcO9asn2qBgnhBCPiB+fn7YsmUL4uPjuTS2OfG8efOwdu1aXLx4Eenp6QgKCoK3tzcAICwsDKGhoXjw4AEAoHHjxhg0aJBSbXFMTAwmTZoEf39/tG7dGuvXr8ft27dhaGgIX19fBAYGom7dukrlevXqFbZt24Zz587h2bNnMDU1RatWrTB+/Hil4Jbth7tr1y6sW7cOJ0+eREZGBhwcHODv749u3boJ8mdmZmLnzp04deoUnj17Bj09PdSpUwdubm6YMGECbG1tARTXji9cuBCzZ89G//79uWMBgLi4OPj6+nLbnD17NgBg4cKFCAwMxKhRo5SO6fz585g2bRqGDBmCadOmSb4n9+/fR1ZWFjp16qR0rEBxFwkfHx/RdSMiIrB//37Ex8cjJydH0JWCv63Xr19j8+bNOHPmDF68eAFzc3N4eXkhICAATk5Ogm2yzaf379+PiIgIHDp0CElJSejZsyfmzJkDQLv36/Hjx9i6dStiY2Px8uVLmJiYwNbWFt7e3pg6darkeWHVrl0btWvXVptPUzExMdi+fTvu3buH169fo1atWmjYsCH69OmDAQMGqH3f+/fvj8zMTISGhuLChQt48uQJMjIyYGlpiTZt2sDf3180kM3IyMCaNWsQERGBrKwsNG7cGJ9//jkyMzMF1x1fQkICtm7diqtXryI9PR116tRBhw4dMH78eNSqVUtn54TvxYsX2LZtG86fP4+0tDQYGxvDxsYGHh4emDRpEszMzARN9/ldevjdEtjP6R9//MEt37BhA4KDg7Fq1SqkpqZi165dSEpKgrW1NYYNG4ahQ4eCYRjs3bsXoaGhSE1Nha2tLcaNG4d//etfgnI+fvwYBw8eRHR0NJ4+fYqcnBzY2tqiS5cu+OKLL2Bqasrl5b+H/Nd9+/blrmmpbhUl+eyEhobi/PnzCAkJQWpqKqytrdG/f3+MGzcOenpVe7gqqSCcBsBTRkE5KQ8UzBNCyAdEJhMfL+DNmzcYP348atasiR49eiA/Px9mZmYAgOXLl2P37t2wsbHBxx9/DJlMhtOnT2PBggVISEjAN998o7S9mzdvYtu2bWjXrh2GDBmCO3fu4Pjx47h69So2bdokCM6SkpLw9ddfIy0tDT4+PujUqRPS09Nx+vRpXLp0CStXroSbm5tg+4WFhZgyZQrevHmDzp07Izc3F3///TdmzZqF5cuXc8EvwzCYOnUqbt68iZYtW8LX1xd6enpITU3FmTNn0LdvXy6YV2RnZwd/f38EBwejXr16ghsXcrkcDg4OWL58OQ4dOiQazB88eBAA8Mknn6h4R4CaNWsCKB7roKioSOMf+ytXrsSOHTtQs2ZNdO7cGVZWVnj27Bmio6PRrFkzLqh+/fo1/P39kZSUBC8vL/Ts2ROpqak4deoUzp8/jxUrVsDd3V1p+0uXLsWNGzfQvn17tG/fHtbW1gC0e7/S0tLg7++P7OxstG/fHg4ODsjOzsaTJ08QEhKiUTCvS5GRkZgxYwYsLCzQsWNH1KlTB+np6UhISMCxY8cwYMAAte87ACQmJmLDhg3w9vZG586dUaNGDTx69AjHjx9HZGQktm7dCjs7O269rKwsTJw4EQ8fPoSHhwc8PDyQlpaGOXPmoG3btqJljYiIwOzZs6Gnp4fu3bvD0tISiYmJ2LdvHy5duoTg4GDu2tGVnJwcTJgwAampqfDx8UHnzp1RUFCA5ORkhIWFYdSoUTAzM8OwYcMQFhaGhIQEDB06lGvRwj9mVfbs2YPY2Fh06tQJ3t7eOH36NJYtW4YaNWogISEBp06dQvv27eHt7Y0TJ05g3rx5sLOzg6enJ7eN8PBwHD58GN7e3vDy8gLDMLhx4wa2b9+OuLg4rF27FgYGxT9z/f39ERYWhqdPn8Lf35/bBvt+SinpZycoKAixsbFo3749fHx8EBERgY0bNyI/P58G2SOE6BQF84TwaTLHOs0zr4zmma8y9u7dCwBo3ry5IP3+/fvo378/vv/+e+jzqhOuXLmC3bt3w9HRERs3buR+tI8fPx7+/v7YvXs3unTpIviRDRQPTvbDDz8IAtng4GBs2LABa9euxaxZs7j0efPm4eXLl4IgHAC++OILjB07FosWLcKOHTsE209LS0Pz5s2xevVqGBoaAgB69eqFyZMnY9euXdx27t+/j5s3b6Jz585YvHixYBt5eXkoKCiQPFf29vYYP348goODYWdnJ9pMuU+fPti3bx/i4uLQqlUrLv3Vq1eIjIyEq6srmjRpIrkPoLg5souLC+7cuYNJkyahX79+cHV1hYODg+C94Dt//jx27NgBZ2dnrF69WlBLW1BQgNevX3N/BwUFISkpCZ9//rkgkOjXrx+++eYbzJ8/H3v27FG6iXDv3j1s27YN9erVE6Rr836dPn0ab9++xb///W8MHTpUsJ2MjAyV56UsHD58GAzDYNWqVUqDQLLnTJP33dHREUeOHFGqHY+JicHkyZOxefNm/PDDD1z69u3b8fDhQwwePBgzZszg0vv378+1AlAsy7x582BpaYn169ejefPmSE9PBwAcP34cc+bMwfr16wXbUqWwsBAbNmwQXVa7dm2udj06OhopKSkYNmyY0k26d+/ecX3rhw0bhrt373LBvLYD4F25cgVbt25F/fr1AQAjR47E4MGDsXLlSlhbW2PHjh2wsrICUHyd+vv7Y8eOHYLvmT59+mD48OHc55/Ffs+cOHECffr0AVD8fRUbG4unT59q1d2gpJ+d27dv4/fff+fG3xg3bhz8/PwQEhKCgIAApTITQkhJVe22PoQQQiQlJSVhw4YN2LBhA1asWIEJEyZgy5YtMDY2VqodMjQ0RGBgoFLwGBYWBgAICAgQ9Cc3NzdHQECAIA9fo0aN8PHHHwvSRo4cCSsrKxw/fhz5+fkAgDt37uD69evo27evUlNyBwcHDBgwAPfv38f9+/eV9vHNN98IfhS3adMG9erVw61bt5TyGhsbK6UZGRkJmuKWBNuU+NChQ4L0o0ePoqCgAAMGDFC7DZlMhv/9739wd3dHXFwcFi5ciOHDh6N79+4IDAzEkSNHUKjQJnXfvn0AgGnTpikFlAYGBlzLh/z8fBw/fhy1atXCF198Icjn6+sLX19fPHnyBNeuXVMq18iRI5UC+ZK+X2Ln39LSUsVZKVti5dGm2bq5ublofm9vbzg5OSE6OlqQ/tdff8HIyEhQK8zm5zf7Zh09ehTv3r3DxIkTld6DXr16wcXFBSdOnNC4vIWFhQgODhZ9HDhwQCm/2PkxMzPTWRA6ZMgQLpAHAFtbW3h4eCAzMxNjx47lAnkAcHV1Rf369ZGQkCDYRt26dUXLM3jwYABQeg+0VZrPzrhx4wQDaVpaWqJjx47Iysqi8R4IITpFNfOEEFJNJSUlITg4GMD7qel69eqFMWPGKNUW29vbiwZXd+7cAQB4eXkpLWPTFH9kA0DLli2VmvTXqFEDLi4uuHjxIh4/fgxnZ2fcuHEDQHFNtljNIfvD99GjR4K+2BYWFqK1gXXr1uW2CRTXoDo7O+P48eN4/vw5OnXqBE9PT7i4uEjWemujSZMmcHd3x6lTpzB9+nTuhsfhw4dhamqKHj16aLSd+vXrY8OGDbh79y6io6Nx69YtXL9+HZcvX8bly5fx559/YtmyZVzN6K1bt2BkZCRoDSAmMTERubm58PLyEh2p28vLCxcvXkRCQoJS6wpXV1el/Nq+Xx06dMDq1avxyy+/IDo6Gr6+vvDw8ICDg4NG56UkxMo1bNgwWFhYoHv37ggPD0dAQAB69uwJb29veHp6cl0ItBETE4M9e/bg5s2byMjIENxw4QeZ7969Q2pqKho3biwIUlnu7u5K06Wx5/nmzZtISkqCiYkJsrOzueV5eXnIyMjg+uqrY2RkhIiICLX5WrVqhdq1a2Pbtm1ISEhAu3bt4OHhgSZNmkh20SkJsebt7A0osWkza9eujZs3bwrSGIbBkSNHEBYWhgcPHiAzMxNFRUXc8hcvXpSqjKX57Li4uCjlZ8cKyczMLFW5KivqM6896lNPdIGCeUIIqaZ8fX2xfPlyjfJKBTNZWVnQ09MTDUKsra2hp6cn+uNULD9/P+w6b968AVDclzkyMlKyfPxABgDXn1+Rvr6+4Ae9gYEBVq1ahY0bNyI8PBwrVqwAUFxT5ufnh7Fjx5Y6qB8wYAAWLlyIv/76C4MHD8aVK1fw6NEjDBgwQOuaf7lcLgh0YmJi8H//93+IiYnB/v37MXz4cADA27dvYWNjo7Z//bt37wBIv7+K74fYMj5t3y97e3tu0LMLFy7g5MmTAIpbbkyYMAHdu3dXWf6SYG9g8fXr1w8WFhbo2bMnDAwMsGfPHvzxxx/Yv38/ZDIZvLy8MHXqVLV9qFknT57E7NmzYWJiAl9fX9jZ2XEBH9s3m8W+B1JBt6rzzLbAkJKdna3TFg7m5ubYsGEDNm7ciHPnzuH8+fMAigPRMWPGcLXepSX2+WU/h1LLFFunLF26FPv27YOtrS06dOiAOnXqcDdRgoODkZeXV6oyluazo+r4FI+jOmMPlYJ5ZRTIE10pUTDfrVs3JCcniy4bOnQo5s+fL0jLzMzEypUrcfz4caSlpcHGxobr2yg1DdDhw4exdetW3Lt3D4aGhvD09MSUKVNEBxohhBBSNkxNTVFUVIT09HSlH7WvXr1CUVGR6A9Xtn+volevXgEA993Prjt9+nT4+fnpsugcS0tLzJgxA9OnT0diYiJiYmIQEhKCDRs2wMDAAJ9//nmptt+jRw/89ttvOHToEAYPHsw1udekib063t7e+PLLL7Fw4UJcvnyZC+YtLCy4868qoGfPL3veFbHpUjdHpLanzfvVtGlT/PTTTygoKMDt27dx4cIF7N27F7Nnz0adOnXg4eGh0XY0pVjLrahr167o2rUr3r17h2vXrnEDqU2dOhV79+6FhYWF2n1s3LgRRkZG2LJli1IrA8Xm7+w5kxojQOy9Yddhx0WwsrKS/Ezpmr29PebMmYPCwkLcv38fly5dwt69e/HLL7+gZs2a6NWrV7mUQ5VXr15h//79aNKkCTZu3CioOX/58qXoDR1t6fqzQwghZaHENfMWFhaiP4AURxzOysrCqFGjEB8fj/bt26Nfv364ffs2tmzZgkuXLmHnzp1KNRdr167FsmXLYG9vj2HDhiErKwthYWEYPnw4goODJafoIURXZDmp0guLSne3v1IzzoYsJ0Pr1RjTRrovC6kUXFxccPfuXcTGxio1GY+LiwMg3mT22rVrYBhG0DQ3JycHd+7cgbGxMRcAsU25r1+/XmbBPEsmk8HJyQlOTk7o2LEjBgwYgLNnz6oN5vX09AS1/Ypq1KiB3r17Y9++fYiNjcWpU6fQpEkTtGjRQiflFmvi26JFC5w/fx5xcXHc9IFiHB0dYWxszE1dp7gtVe+hmNK8XwYGBnBzc4ObmxsaNGiAefPmITIyUufBvKbMzMzw0Ucf4aOPPkJRUREOHz6Mmzdvcn3YVb3vycnJcHJyUgrk09LSkJSUpLQfOzs7JCUlIT09XanVyvXr15W27+rqivDwcFy/fl10usLyoK+vz7UUcXd3x1dffYWzZ89ywTxb06zqs1FWUlJSwDAM2rRpo3RNX7lyRXQdfs24Jq1xdP3Zqcr4NenaTE33odbMU607KU8lHgCvZs2amDx5stKja9eugnwbN25EfHw8AgICsGnTJsyYMQMbN27EpEmTEB8fj40bNwryJyYmYuXKlXB0dMShQ4cwc+ZMzJ8/H7t374aBgQFmz56tcvRhQgghutO3b18Axc1W2WanQHETVLb2i83D9+jRIxw+fFiQtmPHDqSnp6NXr15cc1hXV1e4urri77//xt9//620naKiIsTGxpa4/CkpKXj48KFSOlurJjbQl6KaNWvi+fPnKvN8+umnAIC5c+ciJydHq1r5lJQUhISECM4vKzs7G3v27AEAQdDLNnf+9ddfBSPXA8Wj2b98+RJAcd/tnj17IiMjA1u3bhXki4qKwoULF9CgQQO0bNlSo7Jq+37dunVLtGZTm/OvS9HR0cjNzdWoPKre93r16iEpKYk7zwCQm5uLJUuWiDaj7t27N/Ly8pRqjGNiYkRbEvTv3x+mpqZYt24dHjx4oLQ8JydHMDaErty/fx+pqco3s6XODwC1n42ywA4KeP36dcHNhOfPn2P16tWi62hbXl1+dgoLAYYpfl1U9D6Y/ZAehJCyUaZ95hmGQUhICExNTZWmXvnyyy/x+++/Y9++fZg8eTJXexMaGoqCggJMnDhR0NStadOmGDBgAHbv3o2LFy+iQ4cOZVl0QlSrrtPTMSWcmk6TdWj6uiqpVatW3JRKI0aMQNeuXcEwDMLDw/Hs2TMMGTJEdBA2Hx8f/Pzzz4iMjISjoyPu3LmDixcvwtbWFl999ZUg74IFC/D111/jxx9/xJ49e9CsWTMYGRnh2bNnuH79OjIyMjQavEtMQkICvvvuO7Ro0QKNGzdG7dq1kZaWhjNnzkBfXx8jRoxQuw1vb2+cPHkS33//PeRyOfT19dGuXTvBIILOzs5wd3fH9evXYWxszE2JpYnMzEwsXboUQUFB8PDwQOPGjWFsbIy0tDScO3cOb968QbNmzTBkyBBunXbt2mHkyJHYsWMH/Pz80LlzZ1hbWyMtLQ3R0dEYOXIkhg0bBgCYNGkS4uLisHnzZly/fh2urq7cXNk1atTg5jLXlDbv17Fjx7B//354eXmhQYMGMDMzw8OHD3HhwgVYWloqzXgghd99jx3YjJ82ZcoUjfqOr1ixAs+ePUOrVq1gZ2cHmUyGq1ev4tatW3B3dxcEZqredz8/PyxduhSff/45unbtisLCQkRFRQEo/r2iOCjk6NGjcfr0aezbtw/37t2Dh4cHnj9/jpMnT6JDhw44d+6c4D2wsrLCggUL8MMPP2D06NHo2LEj7O3tkZeXh9TUVMTFxaFly5Yaj4mhamo6oHhMAXt7e0RHR2PFihVo2bIlGjVqhFq1aiE5ORnnzp2DsbGxoM+8t7c3duzYgcWLF6Nbt24wMTGBra0tevfurVGZSqNOnTro2rUrTp8+jbFjx6JNmzbcdJDe3t6iXUG9vb1x6tQpzJo1Cx999BGMjY3h7OyM9u3bS+5Hk88Ow+hxwapiwM4qLCxOE1tWWagbwE7bmnmqnSakfJQ4mM/Ly8OBAwfw7Nkz1KxZE15eXmjWrJkgT2JiIp4/f44OHTooNaU3NjZG69atcfLkSTx69AiOjo4AwP0zFPty7dixI3bv3o3o6GgK5gmpairRDRC7eurzVBiG97qS3ACZPn06XFxcEBoaij/++AMA0LhxY4wfPx79+/cXXcfNzQ1jx47FunXrsGfPHq6WKzAwkBu1mmVvb49t27Zh165diIiIwOHDh6Gvr4/atWvD09MT3bp1K3HZmzdvjjFjxiA2NhaRkZHIzMxE7dq14ePjg5EjR4qO2K5o2rRpAIprUc+cOYOioiJYW1srzQjQr18/XL9+HV27dtWo3zXL0dERixYtwqVLl3Dz5k389ddfePv2LczMzODk5IQuXbpg0KBBSrXYkydPhpubG/bt24fTp08jLy8PtWvXRuvWrdG2bVsun5WVFYKDg7Fp0yZERETgypUrMDc3R6dOneDv7691M25t3q+ePXsiLy8P165dQ3x8PPLy8lC3bl189tlnGDlyJDfCtzpHjx5VmRYQEKBRMD9mzBiEh4fjzp07uHTpEgwMDGBvb4/AwEB89tlngubXqt73wYMHw8DAACEhITh06BDMzc3Rrl07TJw4EbNmzVLar5mZGdauXYvVq1fj7NmziI+Ph5OTE+bPn88Fy4p9r9u3b49t27bh999/565fExMT2NjYoH///lrdMGKnppPi5eUFe3t7+Pj4wM/PD3FxcQgPD0d2djZsbGzQo0cPjBo1Ck5OTtw67dq1Q2BgIA4ePIjt27ejoKAArVq1KpdgHgB+/PFH2NnZ4fTp0wgJCYGtrS2GDRuGMWPGiP5GHDBgAFJTU3HixAls2bIFhYWF6Nu3r8pgXpPPTmUMzAkhHw4ZwzCM+mxCUgPgdezYEUuWLOEGSQoPD8eXX36JUaNG4ccff1TKv3jxYmzatAnr169H586dARSPvpybm8v1ReJLSEjg/oH99ttvomUrrwFi+MpzYBpSxv4JONX2ma9EgakuWdayRMbrDK3X07rPfCUJUiu9KnieYmJiMGnSJPj7+2P8+PEVWpby/m5esmQJQkNDsWbNGrVTxhHCmjt3Lo4dO4Zdu3YJgmU++p1ReWkSzGsT8FfUzYHS1swrTDgCff33efPyhDX1itdzVa/FVyw/+7dYuuJDbFtV/Xx8SMr6u1lqZiC+EtXMDxo0CG3btkWTJk1gZGSE+/fvIygoCBEREfj666+xa9cuyGQyvH37FgAkR6xn09l8QHFzQ6lpQNj8quborFWrllbNBXVFk5NNqoCif/7zKP5XEuSpvsE8UBzQa81Uy+tfj/5TaaQKnie2RtrExKRSfC+WVxlevXqFv/76C87OzqVqSUCqr+fPnyu1RIiKisKJEyfg5OQELy8vletXhs8TUUbBfDHFcTpVBfOA8Hqu6sErBfMftor+bi5RMB8YGCj428PDA+vWrcOoUaO45mhdunTRRfm0pjgQUHmgO+bVCFcznyGdpxoH8yWumc/X8vqvgjXOFaIKnif25mx2dnaFfy+Wx3dzZGQk7ty5g1OnTiErKwtjx46t8OMmlZO/vz+MjY3RtGlTmJiY4OHDh7h48SL09PTwzTffqLxu6HdG5VWVgnl1AbuqZR9izbym5aJg/sNVZWvmxejp6WHQoEGIiYlBbGwsunTpwtXQSNWks+n8voXm5uaCmnqx/FI1/YQQQkh5OnnyJI4ePQobGxtMnDgRPXv2rOgikUqqb9++OHbsGE6cOIF3797BwsICHTp0wJgxY5Sm9SWkKhKbgk4qvTqPNUDBOClPOh3Nnr17kP3P7blGjYr70SYmJormf/TokSAfUDwQUFxcHNLS0mBjYyOanx0sj5AypVj7zv5djWvmUZRX/NAEv9ZY3fmogjXMpGS8vb1Fp9qqrubMmYM5c+ZUdDFIFTBs2DBuhgFCpFTVmnmxAF1XwTwFx4RI02nn8mvXrgEA6tevD6A46K5bty5iY2ORlZUlyJubm4vLly+jbt26gmC+TZs2AIqbLio6e/asIA8hhBBCCCGk/FX03PVV8UGIrmkdzN+7dw9v3rxRSr98+TI2b94MIyMj9OrVCwAgk8ng5+eHrKwsrFq1SpB/3bp1eP36Nfz8/Lg55oHiwfUMDAywZs0aQXP7hIQEHDx4EA4ODvD19dW22IQQQgghhBAdq+gAuSo+CNEVrZvZ//nnn9i4cSM++ugj1K9fH0ZGRrh79y4iIyOhp6eHefPmwd7enssfEBCAU6dOYePGjYiPj4erqytu376NiIgING/eHAEBAYLtOzk5ITAwEMuXL8cnn3yC3r17IysrC2FhYSgoKMCCBQtgYKDT3gGEEEIIIYSQUlAMUtm/FQPYvLziB0tdM/qKamZf0gHwpNKNjITnRNflIB8mraNiHx8f3L9/H7du3UJUVBTy8vJQu3Zt9O3bF2PHjkXLli0F+U1NTbF9+3YEBQXh2LFjiIqKQp06dTB27FgEBgbC1NRUaR8TJ05E/fr1sXXrVuzatQuGhoZo1aoVpkyZorR9QgghhBBCKpKq4EybwK0sa21LWkZ+MM7PJxWsqytDda+dljo2qfMohgJ4oikZwzBMRRdClypi6haaMqYa4aamS/0gB8DTamo63qB2jGkjFRmhPAAeDYinGTpPpULfzaS6oGu58tIkONMmcM3TcAzakijLYD47W7hMX//9sfCPqbBQ+6npqlrNvJGRdLqRUXG6iYnqqen4yyiwr7yq1dR0hHyQqltQzxSW7Jg0XYeCU0IIIURl7W1571OTZZrUzKtqZq+4LTaNAlVCSoeCeUKkSNXMM4Xvp2+rbsG8LqamEzsnMn0K5PnoXBBCSJUlFdBqkl9VmrrtlFZ5NbNXzKsqmK+ONG1mTzcyiC5QME8+PKoCcH7AriqY57+uTnRRM1/dzokqFJQTQgghhJAKotN55gkhhBBCCCGEEFL2qGaefNg0qX1Xtay61UJrUzNPtdKEEEJIqUj1My+PfWmzTFUze8Wp5tgm5GID4BUVFf+dnw/oVdMqxYroQkE+XBTMEwIoB+cUzGuWlw3oP9Rm9qVFN0QIIYRUYWJ94BUD/6Ki98uKiorT+WnVjWLQTn3jSVmiYJ4QQgghhBCiltRgdhTME1IxKJgnRJeqeq20tjXz6l6zqAaaEEJINVbS0eyrejN7VcE8G7BT4E5I2aFgnhBS9qr6TY6yQjc5CCGEVGKKwbomwbxiEK8YzFenmnlqQk8qGgXzpPpRFziK1SKr6zPP/5s/F7tUv/qKVJoAsaR95gkhhBDyQeEH8vzAvaioeHC7goLiNPaZlZdXnKan9/6hSkUNlKfJDQex+eLZv/nP+vrKN0VornmiCxTME0IIIYQQUonpovl9SZrZa1ozrxjMs6/5zyx+Hm1V1xHwCSkpCuYJIULa1MyLjepfGVonlAVqhUAIIdWapgGzqsHeNN2utn3mK1swTzXKhFQOFMwTUh0wOup8xhSKb0vd9ot4k8hKDYDHPti/1alKwXNVKishhJBSUwxuVQXK/HnWpdZXlVfd9jWli2CeLR87j3xhYfGc8WxTerFm9upq5qm2nZCSo2CefJgU+8Yr1jDz+8Xz8ykuUwxydRVUa4u/X1kp/isW5QFFBe+3UZptEUIIIVWYugCXn0cXNfOFhVUvmC8qKg7axQL3smhmTwgRomCeVD+aDIAnFcyzQbraYP6f/1pVOZgXy6dNzXxFHSshhBDyASrp1HKlWV8xmM/Pf59eUKAczLPPqmrmDQ2LbwRoMvgdABjwohXF/JWxVl/Tm0CK+ajrAikJCuZJ9SUV1KsK5jUZzZ4peh/IVsZgXqoMmgT52gbz/Jsf/G0o7bscm9lXhibvlaEMhBBCSqW8a+bz8lTXzFdkMM8G5FLButigd1LBPBv8i41mLxacV7Va/JIE8xTIk5KiYJ4QUnLcTY0PYAA8XaFAnxBCKi2xwe3E8pRVM3tN9im2zbIK5tlAXSyYVzWCPf+1umb26oJ1dnllrIUnpKJRME8+DJK17NWwZl5T1B+eEEII0YhU0F1dgnmpgFoxmNckWNeVst5+WSlpM3t1qPaeiKFgnpDqTurGg1haQTZQkKM8AJ7YunoG75cXZPK2WQWa2fPLUpJtUO06IYQQEWLN5DUdzZ7fzF4sWOenidV2q6Mqj6bBvFjNPL/ZPLucn1dVM3sDA+E++LXviuuJ9bEvy9p6Tbatqkz8afzYQJx9zf9bMV0qDyFiKJgn5EMm1rKgJAPgVedm9hS4E0II+QcbVCsG3ezfpQnms7Pf59W2aXplCubZYJZ9repY+NuvajXwhFQGFMyT6kOq6byqZVKj2RdmA0X5vPV5QW5RQeUezV7dMn7z+qIC4fIiQ9WBu9S2ivKUuyoI8lVwzbximjY182JlVkwTW6ZJuQghhFQ5YlO1aRPMizXTB4CcHM3nZq8KwTxb065pME8I0R4F84SQ95gi8XnmNQrmVTTnlxUBssKqG8yXZXkJIYSQakaqn73YMnXBfFUL9KXKW5J+8oSoQ8E8IZriB6tVZQA8qWbz7DLFmvlCfaAwT7Ngnil6v7wwT5iuSKb3z+OfZTIN/ptVRDCvSQ07IYSQakVqUDKx14rzrqt7BqRr5vlTvrH5KlvNvOK++X3iVdXM8/vAq+ozDwjziPVBr+rBPI3CT8oSBfOEiDWzL8p/35QeeB/4AhXfzF7TPu1sutSywjzlYD6vEMjLFA/mZXrCvPwB8PL4A+CpCuYVtquKqjzaLlNME5RFpPk/P03PSDn4V5Wffa1nJF1GQgghVYJY8M4fqE7qWSyYZ9Ok+olXh2CeDeALCqSDefb8iS1TNaBcVRsAT2wwP6N/fhrQPPNEVyiYJ9WDqn7wbJrYMsmp6YqUa6ErS828qmBe0+nm+OXn37Qo0pduZi/TU77BoXXNfGUM5nllUwzIZfolG9CPavUJIYQQjWg6z3xVIXWjRdXUdFLN7ynIJ+pQME9IdaLt6PSKNya0Ceb5yxWDfEUVEcxremNDcjv0H5QQQj4kYgEWf/R6/mttauYVa9urcs28WBkUa+b56yjWvhcUAMbGxYP9sVPTGfCiEVXN7KtKzTy/vEDx8bHHyp92rrBQGKwrTktnYqKb4yDVGwXzhLAENfRVtGZe8W91wbxil4FCmXSfecVm9vzllTWYL01Ar9hag4J7QgipFsTmcGefSxvM5/8zEY5iAMtPkwrm2aBYcX3+Ovy/FZero4tgXmwdGo2ekIpDwTwhgEhz+2oazCuWm+03z6YVMpoF84rLK3swr5hfT+Krr7S1+YQQQqokxb7ximliDzYP/1lVDba6YF7TEeCllquj62CeEFLxKJgn5EMkdWNCk2b5/OeqGsxLrS+48aE4joIWfef5N4aoRp8QQsgHSuqGBX80e0Wq0qtCM3vF9fndDdgm94rN7Nmm9Ua8sXPFZkZgUV96wqJgnhBCCCGEVEklmbdbrJm9qpp5tlm9qmb2bPN4sWbyimnsSO/l3WdeldLUzLPHI7WOWDCvqol+dZuaTuxYpQbAU5cGUCBPhCiYJ9WT2Gj2ig82vSiv+MG+BoR9yYGqNzWd1Gj1/L7y7LNiXv4AePz1FPvMV/bR7NXVzIuNZq+0DYnadXa6OkIIIR8s/jzxUs9Sy8Sa2uuiz3xJA19dBPOK88aLlYk9RqmaebHp6hQHlCOEvEfBPCHVmbo+80rN7GXSNwvEmuBXZDP7Ug1uJ/GrRPRciTSz57+moJ4QQj4o/Fp8XQbzuugzXxHBvNhyVeuoq5nX9bGVN21q5qmWnZQWBfPkwyZZYy8SBJfnAHiqtqNNzbxYCwM2nX3mH0thoXAAPMX1yrJmXtN+7fztSS1TzKOYV3H6PcmaeYUaepaeEQghhBBtaBPMFxQor1tZg3l1NfN8bBeFvDzxfGyaVK19VaBNMF+SbiKE8FEwT0hlIVYrrC6fVJqqZvaKXQYEwbxMGJhz6zHCZwCQ5QMyWfFrA95kqJoG8+qC97IK5vllUXyIbUNpfX31g+GxN4ao1p4QQj5IVDMvXl6xZvbq+shXp5p5QnSNgnlS/SjWsiumCfrG50HYZ56dILYC+syrmxte1T6kRpsvKngfnLN93tUG8yKBqlgwD7wP5vOzVJdPKpgXC6Cl/hbbnlj+Mg/mi4qvF5m+8gMQBvBi6fq8Gx+EEEI+SB9azbwmwTx/9HfF/VeVWnlCyhsF84SQslceAwNqQ6s+82JdDDSsmZdapul2WFTDTwghlY5YTbrYs+JI92wwqxjM8wfAUxwIr6oF84rbZF8zTPFr9pl/fvjTvCneGFBXxspEk2b2RUXCZvaajmZPfeyJolIH8xs2bMAvv/wCANizZw88PT2V8mRmZmLlypU4fvw40tLSYGNjg169emHy5MkwNzcX3e7hw4exdetW3Lt3D4aGhvD09MSUKVPg7u5e2iITUvWpalav+CzW91/lAHgKte+AdM08+7e6AfAA3dbM65Xyq6uignkKygkhpMrjD34n1YSeH4yXVTCvqim/tkoTzBcWFv8cYBvrsc9i22eY98cukwlbIEgF8/xlquZ1ryxKE8wToq1S/SK+f/8+VqxYAVNTU2RlZYnmycrKwqhRoxAfH4/27dujX79+uH37NrZs2YJLly5h586dMDU1Fayzdu1aLFu2DPb29hg2bBiysrIQFhaG4cOHIzg4GD4+PqUpNiHVn1iwznYPUGpmzwvUC2TKbfuKFyo8KyjgD4AnkUcmE/6nL20wX9Jm9uy6/Ie+UelGxyeEEPLBEmsqr6ofvKo+85U1mJf6185frkkwr7g9toZe07IQQoRKHMwXFhbiu+++Q7NmzeDo6IhDhw6J5tu4cSPi4+MREBCAb7/9lktfsWIFVq1ahY0bN2LKlClcemJiIlauXAlHR0fs27cPFhYWAIDRo0fDz88Ps2fPxp9//gkDA+ohQBTwpxDTZp55wUNNjbbYa0EZSvEfSJs+80UKATcbpIuNVs/v38/+zf+vrxjMQ/tgXpb3ViSvUq5/HvzXMoXlCvn5vwj4r/X0lH81KD1L9IfXMwAMaigH83oGxc/sumzQz39mlxlkS/e5l+kBeobv56Ln95mX6QP6JmBMGkicI0IIIVUFvxaeH4Srqpnn51cM5tlR3tnX7Dr8fSnum6XYgE5V8K0oO1umMj/DlCyY5//b5q+fnw/k5sogkwlr2tl7/vr6wm0YGhbnMTJSrpmXGkRPFSsrLU4OIZVciSPiDRs24Pbt2zhw4ACCg4NF8zAMg5CQEJiammLSpEmCZV9++SV+//137Nu3D5MnT4bsn09taGgoCgoKMHHiRC6QB4CmTZtiwIAB2L17Ny5evIgOHTqUtOjkQ1RdgnnFAexYWgXzRdLBPKMH8WBcTc28aF5VyzQM5hnFPOxmNCmHmnMolqZxM3s177O6PvNic9dLoab5hBBSKopNmMX+FpsqTDE9L+/9M38gN10E80VF6oN5/r8+xQC7NME820xeith++Niy8YNy/rPieuzxKtbgKzbgA4q3yXZpEGtmX5JgXrQBoghNtinW7F+sTIrjCLDnQNs+8yzqO09YJQrm7969i6CgIEycOBFNmzaVzJeYmIjnz5+jQ4cOSk3pjY2N0bp1a5w8eRKPHj2Co6MjACAqKgoA0L59e6XtdezYEbt370Z0dDQF80R7aoN5iYCd/ze/dptNF+yjsgfzIm36+IF6ESAZBLN5CCGEkGpKVTCv2FeeH5jrIpgX6zPPPosF75UpmOcTa2bPrieTqQ/m+cv4gTE7N31p56DPydEsX0mDefZ8sOkGBsWvDQzety5g09n318jofYCury98zV6T+vqACU2IQxRoHcwXFBRg5syZcHZ2xoQJE1TmffToEQBwgbqiRo0acfnYPImJiTA1NYWNjY1k/sTERG2LTYhQYXbxc1EeUJT/Phhmp3ErzIPSoG78/uZVKphnt8vwbgOz/43FgnlNatYrAH/XGv9KKcX7QQghhKgh1Udeqs+8Jg82L6DQeK6Mgnl1zejVBfOq9ikW2GtaJn7Z2Icu+tOXdZ98TQfA4/+tac08jXBPFGkdzK9duxZ37tzB3r17YWhoqDLv27fF/WilRqxn09l8QPHI99bW1irzZ2ZmSu6zVq1a0KuAYS6trKzKfZ+Ep6jw/SBshTXAzRsPgJtXnk1jCoF8dhR2hXnmC//5RjTKqTzBvFgLgSJ9YXqRTLheIXt8bICOf/4L/rOMG4Uewv+YhYWwNFDxX0GbXweKFPu/89vTKS5n/xbrGw+8T+dvg9+nnX0W6zOvb6SDPvMK6yv2jdczUtlnHjX++b7QM1J9zvT03z9IidB3M6ku6FoWp8ko4Jo2s+c3c1dsVm9o+P5vtpaY7dvNr2nX13//DAhf85exr/kPsWbmeXnvm7GXVTCvr1+6YJ4tt2Ize7YfvYw3UQ5b825gYCnZZ56PrdHW1xfvM8/PpylNa7dLWjNvZCRcn18zb2JS/LpGjeK/DQ2Lj83K6n3NO3t9sK/Z7fHT+MdAwXzFqujvZq2C+du3b2Pt2rUYN24cXF1dy6pMpfL69ety36eVlRXS09PLfb+Ehw3YgeJad6lgnk3P/+c6YWvlFWrmZTlvK3kwX6AQzCvUzLO/VPi3fRkGxdE7vzZeWDNvaWCADP7I9MqFLMGBidGwzzz0eOn85f+kC4L5/H+y8UfMZx+KwXx+KYN5hfWVBsAzKB4ET3IAvH/+C6sN5hVuCBCt0HczqS7oWpZWXsF8dvb7v7OyioP3vLziJtv8YF5XfebZddgm8GUZzOflqR8AT+w1i70RoWkwb2xsiby8DI2DefYGSGGheB42n6aMjDQ7OSUN5vPzhevzg3l9/ffjABgYvF/GDvyXk/M+mGdf84N5No3fVYCC+YpT1t/Nmtwo0CqY/+6779CwYUNMnjxZo/zsAHZSNelsOn+gO3Nzc0FNvVh+qZp+QpSIDXzHNq0H3gfmYlO2Vblgnl/jzmvHxeVjABTifQAvg2IwX7x+ZWpmL7U/Rnmxyl8uIueQpqIjhBBSSpo0ly9JM3upZuasytrMnj+qvaptSHUfkCqbJiPqa6qim9lXQANiUo1pXTMPAO7u7qLLhw4dCgBYtWoVevToobaPO9unns0HFPevj4uLQ1pamlK/eXV98AkRJRbQKwbOiqOZqxoAr7xHs1dVDi5d4T8d9zdbEw8UR778mnmRYL6In1+0kCU8OEWa1syLPStsg/knnS22aM0871a+1Mj1moxmTzcACCGEfECkbhoo5hHLK5ZHMZ+ugnltqArmKdAmVY1WwfzgwYNF0y9fvozExER069YN1tbWqF+/PoDioLtu3bqIjY1FVlaWYET73NxcXL58GXXr1hUE823atEFcXBwiIyMxcOBAwX7Onj3L5SFEieR0cx9wMA9+TbsGf0vWzDMKz6Wlw2CeTeeKqCaYl/FaVog1keenA+Lvtbr3mSl6fz0C1EyeEEII0ZBi6wL+eAJSzey1GWhP1dR0YtPJqaLt1HSKsxSwy9gxGMQeLCM1PfPIh0mrYP6///2vaPrMmTORmJiIL7/8Ep6enly6TCaDn58fVq1ahVWrVuHbb7/llq1btw6vX7/GpEmTuDnmAWDQoEHYtGkT1qxZg+7du3NN8BMSEnDw4EE4ODjA19dXm2ITQkQpBvNFvIdYXv5zaZVBMK+4HvNPrb1SMC8TD+ZletoF7IQQQgjRKdFGhuVYM18W21fXzYKfR5MxIAjhK9E889oICAjAqVOnsHHjRsTHx8PV1RW3b99GREQEmjdvjoCAAEF+JycnBAYGYvny5fjkk0/Qu3dvZGVlISwsDAUFBViwYAEMDMq82ORDwu+HXmX6zCtMCqs41C3DNp+XamYP3mt+MK+H4n71lYWaPvOa5FVMZrsfSLV4oKb0hBBCykBJpqbj/3svqz7z7D7EaNLMnj8vvOJysQHw2AEHAfEB8MT64FeHmnl2MD9CdKnMo2JTU1Ns374dQUFBOHbsGKKiolCnTh2MHTsWgYGBgqb3rIkTJ6J+/frYunUrdu3aBUNDQ7Rq1QpTpkxBy5Yty7rIpLpS18y+ygTzjPJ/XqV5azQJ5hVr5gkhhBBCCCFVhYxhdNVopXKoiKlbaMqYSoApLJ6SDhBOTceflo5NL8oD8t8V5y0qKJ6Ojn3mpqZLL79gXmygNclgnlEdzHOBeSHEg/dCqAruLWGIDKiamq60+E3mdTA1nWAbegr5ZMIHe9teX/+fuWAMIJiajn3w0/jT1vHzK80zLzY1ncH7aeX4D30TMCYN/ikyTU1Xlui7mVQXdC1LK6+p6TIz3/+dnf1+ajp2mjpNpqZj54xXNTUdO60ZW8bymJouO1t6ajptaub19KRr5vl/GxtbIjc3A4D6mnl2Sjd2Wjdd1MybmUmfHF3UzEvNM29kBNSsWfzMzjPPLjM3L37mzzNvbi6cms7I6H0azTNfOVS5qekIqXIUA3p2WjrFGnj+g5/Obae8g3mJ/5xSwTzXrJ59aBrMMyJ/V6b7e5o0s9fiPzghhBBCBNSNQq/JaPZSNxHEgnl+M3v+uuqa2fNfK9I0mJfJ3t8wkVrOKmkwr7g+Ox2dnl7xTRz2mZ+PTeffaCospECdqEfBPPlw8JvYV6bR7JWCeRX/OZVGguEH5PzXmgbzEFleln3mta2ZZxTWEduGIv5/VQr0CSGEvMcPJBXT+MsU0/gPbfu+azPPvFgNe1nXzGs6pVxptiOVT2wdVQPgsQG9Im2CeVX91vnb0eRYxOaNV+wzzw/qtRkAT+qaZF9ToE8ACuYJIdUGo/Cs8JpbzP4ikLhZw09Tt0yyKEXSedibSuxrldtRs5ya3xNCCKnkxIL1kgbzZVGe0pIavV7xb7EgnpDSomCekKpIUCuvWEPPPsRq4qtLzTwDYX96qfXZZ95t88oczFNwTggh1Zq6WvnKXjMv1cxe1XJFUsGsYr/7qhLMK9LV1HT8mnmqhSdSKJgnhBBWRQfzYnkrA7rJQAghpAyouknxIQXzhJQUBfOkatAk6Cn6ZwhadqA7pYHv8qQHuqvQAfAkbsMrLhe8lqqZF3sQQggh1Qu/77CmednX6vrM80e3549yn58vHI1e8aFuNHux/NrMM89XmWrmCSEVh4J5QqqSEgXzYutA4rmy3ACggesIIYSQqqQkA+Cxf4st49fIs1P0AaUfAE/VDSDFkfc12Z7iAHjs9tkbMvyR7Pmj2fMHyOOnFxW9v4nEYpvZ5+W9n6qOEICCefIhExuhvtSj2ZcgEC7zmnlNg3lCCCGEVBR1feal8irm5z9ru1+xZar+VkzTZTBPCFGPgnlCqhzFQJ0/4J3iAHjsMxSWg5fOvyFRpPC3rqkaAE8xn6op6cTysRiR1yK/FBj2fED5Jg2bpm6ZFHV95gkhhJAyoE0wz+bhT4knlUfqb8U0xeVitdv8+dT588qzrxW3p5guVTOvmC5Vs67rmwXqzpGqPvOElBYF8+TDVuqaeR10JtOmZl7rGnlNauYJIYQQUp6kRrIv65p5sXXKO5jnB7LqmrWXZgA8TZveE1KVUTBPCCGEEEI+WFID4Ck+VE0rp2ogO/a12AB4/EBVFwPgFUnUNSjmU1xH02Be021qSmX9BYTnhqVpzbwYmUx1jXhJ+sxLpbHP/P7win3m+f3pFdPF+szTdHVEEQXzhJBKit+KQNUyxTzaNLMHAJEWF0DZNLOnKd4IIaRC8Ee/13Q0+9IE8mLBvKraeF3XzBNCPgwUzBNCqqgSBvMQ+WVUXsE8O8e8tvPM000AQghRS2qUcn4Ary6YZ6ejU5yaTnH6udJOTScWzOuyZl6KtuuUx80B/j7EylJUpL7GvDLXzLN9/hVr5g0MxN9vFv+6ZP8mRBEF8+TDwBRCtN97ifvMS9wCr/R95gkhhBAiRTGILywsnl9el8E8W9NfkcE8f+A5VT9dyrOmX6o/fnUI5mUy5WCe36RerJl9fn7x+mJN7AlhUTBPqibFGk3F2k7RRxUN5pVqmikoJ4QQQqoadc3ry6OZvbbrlEUwT10BCNEdCubJh0GnwbzIf1sun46Cecka9aJ//i7i5SlSSFf8m78dse1WlpsFNOwsIYR8iEpS0yjW9FgXzex11V9eqs+8uiCeCKn6yaXJutqkl5S6n4L8VhOqrhP+M/ta7Nql2nnCR8E8qZoqtGa+jIN5ah7PI3XsUi0XpJYppGnTZ76o4H2aTK/4UVTw/jX/weZRzC9YngcU/TNErbq+8Jr2ra8I1I+fEFLNlSaQL0kwX94184SQqo+CeVJ9qAzmNQzk1QbzEv9tuXylCOY1mg+e0eBBCCGEEEIIqe4omCdVg1hNPF/RP7WdTCFQmP3+NZte+M+jqKD4UZhXHJzz09nXwPs0ftDO3lIv4gf6qmqFNT44kWepwJzftF6qmT37zM8vtt2KCPw13Sc/n2Lze9k/y2W81/x8ery/9RSe/9l2EYAivfej0jBM8XuqZ/C+Fp0pKn7WM3j/UKyBl6qZ1zd6vz7/wV43hdn/5FWo3Rar7dYzEl7vVCNOCCHkA1TVm9nzBzlUbMFBSElRMP8hqoxNdtVR1aweEAbzSq/zSxDM578P3gFhMK8ULAsKVpKDE3kubTCvuC11260MpI5XXd4SNLNnH9xitsWFSDN7nU5Nx26rCn4GCSGkAqjqB6+4XNd95kvTxF6smb0mTexL2j+8spIaoV6b4yvpuagKwTwhpUXBPCEVRiyIZ5/VBfOaNrfXNpgvy2CfBrgjhJCqqKwH21K1fXXBfF6eZnlVBfP8qejYR2Gh+FR0Yn+XZTCvqs88IYRQME8IqeYUb1CwLRkAQAYwMqCIN0GtrEi56TxL0wHwpJris2nsAHhFeQrb16AJPT+PWH5126Bm+oQQQggh1QIF86T6Kc3gd4zI7XP+32r7nWtzq7w8auarKx01s+eSFKs+RAZDLItm9uqa2/OvYzEUmBNCCCGEfLAomCdVj1iAU9rp6DQJ5iWbsQsKp82BqHjWJpj/0OkimC8qrp0H3g+KJyuomjXzukY3DAghWijNnPHaLCvrPvOl7S8v1cyeEEJ0iYJ5QgghhBBCPiBic9Sry6fLfWuz3aKi9/fZgffPfPzliumKsrKkx/Dh5xdbVyy/nsJ9f3194fr6+sWvDQyKbxTp6wPGxkCNGsUPPb3idD2993+zrw0MACOj4r8NDICsrOK/s7IAExPh/qTY2dFdpOqMgnlSdYjNI89f9sHWzH+IzexZUudI8bWamnkw76tOuJr5wuL+83yVrWZez0h9fm1QLTwhpBIRq0XnL+M/K76W2o4mNfMvX8pQVFQ8EB474F1OzvsB79jXeXnvX7PLCgvBjVoOCF/n57//m83HfyiWE3g/kY6mI6arGyGdWgcQUr1QME+qn9IE8lLBvMrR4gU716agKp51FcyrKuuHTiTAF6uqKJM+8+x1Vso+87qY4o4CeEII0Zi6pvWSQ+4ASsG7Lkez13RKO6mp4ioLVeVjn0tbM69KSWrmpc6f4rZkMuEsDGwNvJ6e8t8GBsU3iID3aex67LO+vupaeXU19qR6oGCeEEIIIYRUOhVVM1/SPvJSQXlpgnlCCFGFgnlS/ZSmVl6xZl60tryq1cwTnatONfNliWr9CSEqiAXkisvLO5jXVSBf0mCeEEK0QcE8IaSKUncjRbF9HP/von/+lgnTGQCM7H17OMU2dmL95EvUZ/6ftnNifeb5AbA2wTwFzoQQQqohdgA8VmVrZi+Vxn+Wyd7f+GFfs2Mt6OkpP+vpCWdCIEQKBfOEAOI186J9z6tazTwhhBBSMvz+vf/f3rlHW1LV+f1bdc693dw0No1AEluhWYtH0BEVQVAwZpQBMygiYzM6ykC01yACHc3SWTEhK3HUcVZmOTA0qJjWgRCBEexZxEFGlmNmQBSaZxxM4yOxG2gNEGgaLrf7nlNVO39U7apf7dq7HufUOfece7+ftaqrar+qzu3zqO/+PXbTPk3auvr0etWWeXlvg1rm9XV6vUxg6QR3WnSZdTrhXduW+aWImSeETC8U82T5MEgW+ygwNp0xP0JsvZUCW5/rY4h6OM5Lb7hkXyXmzXurI+b5C04IIYQQQshygWKeELJE1JlcGGQCQlmOzTLbJIyeJPFiV/uoRTd7P/mqXW4x83TtJ4SMgDIruq2NWWZrO8qY+SoLe13LPCGENIVinkwuUqhEvexchflzXa/LtJXdZnkPe9leRfE+3friFz7E+C3zVeW6rE4IAC3zzSnxWVQKuYR2TRPgpeLdFPNV40yAmKdgJ4SMmaUS820mv2M2+/qM6rWO62/YJASCkzekbSjmyXQjBf6w68vnvl3rCGaIPRznpTdfMUaZmCfNqGOZN4ssv76oK8LHLOYpuAkhy5BpEPN1RDnFPCFkVDQS8y+88AKuuuoq/MM//AOefPJJ7N27F+vWrcORRx6JD37wgzjjjDPgGW6p8/Pz2LJlC+68804888wzOPTQQ3HGGWfgsssuw5o1a6zX+fa3v43rr78ev/jFLzAzM4PXv/712Lx5M1772tcO/krJ8sIUOStOzE/7r3zd+x/kdZrC3VZf5/9NJU3NaXRDqNvQ2epNl3u9T7PZB/l+sr0LmfF+HJb5UV+DExGErChs4tsmrvV+XGK+bat8lZgnhJA2aCTm9+zZg29961t43eteh3e84x046KCD8Oyzz+J//I//gc2bN+O8887DZz/72bT9wsICPvShD2HHjh049dRTcdZZZ+Gxxx7Dddddh/vuuw833ngj5ubmctf4yle+giuuuAKveMUr8P73vx8LCwu4/fbb8YEPfABf+9rXcPLJJ7fzysn0YRXuRlm4P3Oll2720p3e6mavp+Wnwc3erJP3QwghhDTHJoT1T2Ob2extotqWXR4A9u0bTTZ7c7kvmbV+//54K8tmr49Ni74U6/oa8li3cU0E6DLdT9JWNntCyPKikZh/5Stfifvvvx/dbr7b/Pw8fvd3fxff/OY38fu///s4+uijAQBbt27Fjh07sGnTJnzqU59K21911VW45pprsHXrVmzevDkt37lzJ7Zs2YINGzbg1ltvxYEHHggAOP/887Fx40ZcfvnluOOOOwrXJ4QQO0Na5gG7KWVsbvYRWomZp/WbENIiZYK9ajm7pRDzcr1u29rdpmjXYr1MzOtxpJjXVFnmCSGkLSr8OfN0Oh2rkF6zZg1OO+00AMCuXbsAAEop3HLLLZibm8Mll1ySa3/RRRdh7dq1uPXWW6HEt9q2bdsQBAEuvvjiVMgDwNFHH433vOc9ePzxx3Hvvfc2uWVCyERjC1+QW9TiFootqL+pAAiNxYWDHhAsAsH+Zlsu4aLhLeLc+lmCx7a3qph8QgghZAmpm2dgGre6oRyElNFIzLtYXFzEvffeC8/zcNRRRwGIrexPP/00TjjhhIIr/apVq3DiiSfiqaeeSsU/AGzfvh0AcOqppxau8da3vhUAcP/997dxy2SlUSdWXlUJy2naCCGEkJXLoDHww8bJL/VGCFlZDOSv/sILL+D6669HFEV49tlncdddd+HXv/41Lr30UmzYsAFAZqHX5yZHHHFE2k632blzJ+bm5nDooYc62+/cuXOQWyaELDnjesqouo5twsPWR4m98ZSUe2KyTJtXuc8TQsgypm7iurYT4Ekrpnlc5mbf5lJ0AIU1IWR8DCzmr7766vR8ZmYGf/iHf4gPf/jDadmLL74IAM6M9bpctwPi2PuDDz64tP38/Hzpva1duxa+34rDQSPWrVs39msOTDQlLrXyPoPVsVswgDjR3Wrk3IOjHtBTQLgv3psJ8BZDIOgA4Ux83vfi+qBjrDOfvHcWw2ImGjUNCfDKLPP17u0gzNZqNx68ZCsrM+t9SzvPqO+I+mTzjK3TyY59P95ydX5xA+K93wU6s1m53433ndl4Wz0Tt52Zyfrovcxm73cBfzbe0pcrstl3VxfLbPHxssw8lv3keXoPs+4xy64JAH6NWH1Xmzp9azBV382ElDDq93KTBHhVMfNlSfOaxMyvXj14zLx5XDZBMDOTxcZ3OsDCQnwsy2dm7AnwfN8eM2+bWPC8TOhXJcAz79GcHHCdT8skwuzsQQP39cyffWQ/zxL9sz3o2HX66kcESaeT1elzzwO63fh91OnExwccEL/HfT8+9v3sfHY2PtbtfD8+PuiguO6gg+LyTie7noku58/gaFnq54yBxPwrX/lK/PSnP0UYhvj1r3+N73znO7jiiivw8MMP48orr1zSBHV79+4d+zXXrVuHPXv2jP26AzMt8bHyPsN9hpjfZxHze+Js9r2XLGL+pSxmOQqA/kIi5vcnIj75dU/G89ADpjKb/XBi/iDM4nk0SFs8ckYh5j1YxbwCoMR5INv4yaaFfyf/5GAe+36pmFcHJPc4s5j0KRPzyZbevmjTfSEpa0HM60mDtsS8bWLAhqtNC0n7pu67mRAH43gvj0LMu8aU7WzjNUmA1+9nZYNa5s1s9i++6JUmwJNJ74KgWsxrgd3vU8wDsZDv9Z4fuP+0ivkoyuwB+v9aTwjNzMR7fd5PHk273bidFvPdbizmfR9YXKwn5g84YAreFFPKqL+b60wUDKW6O50OXvnKV+IP/uAP4Ps+/vRP/xTf/OY38Xu/93tpAjuXJV2Xy0R3a9asyVnqbe1dln6yAqizNF3VWvIysVh6rv3mdKI0JPulFvN1+/BLejTo/2v9ax4hE/5KCH8gtewD2S+7UsnThRDz+n0Y7E/aWtagbyLmbWW2derbEvO2vl7HLfgJIUTgspCbkwX63DUhAGRiOQiKZbbjMjGvBXkuz2lgL6+TqMwl5qWAN8W8bjcNYpwQMjm05o+us9nrJHZVMe46pl63A+L4+oWFBTzzzDPO9q4YfEIIKaIcW9T+lk4YmVuI8mz1Y9jMCTDbRgghY0YL+rLNJrCXahtlUr268fiEECJpzR/+qaeeAhBb64FYdB922GF46KGHsLCwkMtov7i4iAceeACHHXZYTsyfdNJJePjhh3HPPffgnHPOyY1/9913p20IIaQZg3hQlHk/VPQvZEOKsn3jdeYjd7u6ifZ0O5vVnhBCUO5m70pQZ7aTxzarutlOWuAlslxa3iVtWubrrDMvXeubWubJ6LFNeIxrEsT8v5aOenqv3ey1q70M0/D94l4fA1kZkIWVlCWHNKnbbilwhQiQ+jR6stuxY4fVDf7555/HFVdcAQD45//8nwMAPM/Dxo0bsbCwgGuuuSbX/tprr8XevXuxceNGeCIg5dxzz0W328WXv/zl3HV+/vOf47bbbsPhhx+OU045pcktE0LIALgs+jU3q2mlIgRkbFsNKz0t94QQQgghE08jy/y2bdtw66234uSTT8YrXvEKHHDAAfjVr36Fv/u7v8PCwgLOPPNMvPvd707bb9q0Cd///vexdetW7NixA695zWvw2GOP4a677sJxxx2HTZs25cY/8sgjcemll+LKK6/E2WefjTPPPBMLCwu4/fbbEQQBPvvZzy5pcj1CCCGEEBLjSmZXZtGvkwCvzIpua2OW2Y6HWZqu6RrvdIufXtr4vytLTmhLegjY96bXhz52fb5cuNrRKr48aKSMzzzzTMzPz+ORRx7B/fffj/3792Pt2rV44xvfiHPOOQdnnXVWztI+NzeHG264AVdffTW++93vYvv27TjkkENw4YUX4tJLL8253msuvvhirF+/Htdffz1uuukmzMzM4A1veAM2b96M448/fvhXTJYvdRLgFTb5KywzwZedm+W5m2hywwOMwScEQgghhBBCSEMxf+KJJ+LEE09sdIEDDzwQn/70p/HpT3+6dp+zzz4bZ599dqPrEEJWClUTGnXrjaXpcmUSc1m7qn7JPhJr1gPJcRDHrUdJIJzeu7LZp5d1REQ1jZmvGo8QQhzY1nCnZd5+b4QQMi7os04IWeG4nsZkuX7yayDmlRdvOTEfxoJ+GDEv28j+ZUvTmX3TtlFyTx13bDzj5QmZesqEs8ZMQif7mcns6oj5OgnwdDIvM8mdPh9XAjzX0nRayJPpwOXePin30ZabvXS1B+guv9KhmCeEkFYxQjEUjF/yKLOUjzubfWmbIcR8U8HPNekJIYQQQoaGYp5MPmZGbVuW7YHi5Sc1Zp4MR52/ZwSrNd3pZm/W13XPT7YImcu9F47XMu/5bjFPd3tClj2my7vLMl+1NN2gbvZmP32uLeGA2zKvLeQ2RmGZHzTxnS0BnmupNLroE0LahGKeLB+GEfOl4t08X0oxb2tru08yWurE5av8ubbQa+s8sPSWeVk+Kss8rfCEEAtlAruJmJfhAU3EvHk9XbZ/P7C4WBT0rnXmZbnGJdaDIKvT7WXbYTLic3KAkJUJxTwhZMJZqieUYVYVsIh5oJmYp9WcEEIIKVB34mIaYub1xE6dmHlCbFDME0ImmKX4JTavWZborqabPRRSd3sACBNTkp98BZtu9qa7/bBu9mZfa1lyTzZLuj9bLJOMMkkeLfuEWGmyxvQkudnbrPHS5R4YvZu9q35Q93q62RNClgqKeUIIIYSQFc44xLzLtd60Po56aTpX/SBinhBClhKKebL8WfYx86Q5df6ObbrZi/Kljpmn+z4hZAxoIV8nEd00i/lBLPOEENIWFPOEkClkHE9DEyzmKcgJIUuAzSKv9zbLvE4sp5GiWrrQm+7043azlwnwZJI6inlCyKRDMU8IIc5VAlxleu+KmfeRxskXYucVEPSTbvuTvSNm3u/Gm2lZ942v7qqYeRmb73ezNvpYL1/nB8V4ep3l3uvk49f1uS6Te7MtIWQqMF3tXS7zdcS8LXnXOCzzdcvLxLzNSl/Hcq+pI+ZtmeuHyWZPJoemCfCAegnwzFUUqvJgaOrm11gqOnxcGAqKeUIISVGO47J2+rzO+vQJ+pfV16I+qTPFvMsqr8ts69OXrTOvj3UbfWyey77pcYmYN0W9PK5KnmfCSQBCxopLkMuyXq+83qyLorjPsJZ5PYYNPY65NN2wYr7fz09GmEvTmeK+iZgn42VastkDg4t5CmFCMU8mBzMjtj7XlkHbuS6LekAU5DcVxfuwl9+iAAiD7NdZhQDkhmQfIW+J1ef6GKIejvNaL3yAPiRjVH8//X9sinRXncsyr+uEZV5noQ+0iBd7uTW1zJuZ6nXdsGI+bSeeGvzZTKi71qenMCdkKiizvLsEuxT5NsExrWJeehYM6mZPJoOVIOYp6gnFPCFkBTOqX/qSmHlZV/Wk4YqZrxtzb7avOjYt/oSQZU+VG73ctHDW5/2+W3BogT7umPlBxXwTd3qKeULIpEAxTwghVoZ5MhtQzCuVt8xrXK7v5jrzLsu8eVy29nzpsenyn5gCXJZ56T0j2xNCliWmNXFaYuYHTXjXVMxT8BNC2oZinhBCxkZTy7xaGsu82ddaboS+uOptdXWh+CdkybC52JcluSvbNMtVzBNCyFJBMU8IWaYs5RNWmWU+QhZzr8WwsMKrJL7e88SToggKLUuAZ7PMy/j6oS3zptW/V54Az8TMfG8e2/pT0BOyJFSJ+bpCflLFvC1hHQU8IWTaoJgnhJCRUMPNvmzCQcHx5Cgs5XUs86ZlvTXLfJS3zFN0EzJR2OLegXzCOH0uk9npMpnBXh/r+HRbXLwsW8oEeK5l3sxyWS8FvnxNZuKyqjh6QggZNxTz084gLqzDuL2OkmGy2aswEx2upGGELCnK2CD2ri6Op8SJEfP6Pizu9E3d7DkZQMhE48qqPahlvq0EeHINbZtod5W7xLyZAE/2d4l5czwX5j0RIin7jJllNo8ZF5O+znxbrNSM/hTzhBDSmKqnMP306hl7s95sp4+TTXvl55LhieM6CfAkrbvZ674yDMBwuTfFPEU7IYSQMbEUkybjXpqOrGwo5gkhpBXMJ4Yh3ex1vTYHaSZSzMvxDDGfa2/E1wPZWvWyDSFkYGzLy5ku9JI6bvb9ft5KXsfNflxL09kS2enjsnKXZZ4Wc0LINEExTwghA1P21NeSmIfl6TJ9Gp0UN3sRP5/WCzd7CnRClgzXGvK2etf68mUWwqVKgFcl2gkhZCVAMU8IIYQQQpwspZh3ifMmYr7KMl/mBu0q58TB8mfQ/99xu9lPQsz8So1XnwQo5knMJCTFG0UCPBXFrsiFTWexiQCYG8SxtKDq8zLL6iDf/HwaWH7I94hZHiJdks4aUy9i5lPLvLSge0Bkurt7+U3id7Pl6Tw/PtZu8fpYL3cnz3V7W7nuq+uA7B7T8SyZ7m1u9rqdLtPt9Sbrm1r4own4XiNkSrBZ5vv9vMv8oG72NtEuM9WXudlXWeZdCfDMtnXd7KU3gisBntnfdk4IIeOAYp4QskKp++Q16BOaQlGs67EaivlCvX6KTcrLxLxSeaGtokyU6+NhYuZddXWz2dMNn5CR4FqarombvcvK3tQyX2WNd1nmy6zfo7LME9IWtvdcW5b5JknwpiFJHi37g0MxTwghhBAy5dgS3+m9LQGePt+3Lz6en8/KpCU+ijIr+qDrzNuEibTMm4JEt9ETCjZMEaTLhrXMK1X0CKizFF3TpekGqSfTDcX88FD0F6GYJ4SQiUWHd5iWeV2tn0BLLPMST1jo07LEqm5mxi87ln1L+ySqoczNXpab57ayMlxZ9AkhhBBCliEU82R544qjT6dDbRsqzhkzP9lM8t8zMvamu70+tm2yXhn9vFjQK69iaToPQDA+Md9Z5b4XQgghhBAyFBTzhBAyMuwTCx4WkqNOWiJry8U8AGhR3S32UYbgDv14S9v52Xien1nzu13A7xSFeWfWnQBP13Vm4y0dM0m0N/NSPuGeLT7f7+at7v5s3jLvz0Id8Err35EQUp8yN3wZIw/Uj30fdJNjAEX3eDPG2MY4stmb9YQQMmlQzC8XmmSjt7VdztnsXVZ5/joTQgghVsYh5l2ifdxinhBCphWK+WmiTIRTzGdinZCJoM6T4jCZ8l39baEfyl5feAq2fH5cnyvbRJmrXlMWAkAIWXIGsczXXZrOHMPmCeC6DxttJsCzLUFnjksIIZMIxTwhhIydMjFutrO52Wv006bLHd/EshSejrXXT66eyifKGyZmXsfhm2vRSwqTAJZJvSaTjUx+R0iKa9k5cy+XoQPG42ZvCuxJcbMnZClgNvv6MKN9Hor55UTdB95laZmv6WJPyFTiSrQ4pGXetNIXnmRLPjtNLPNp1v0GYp6inJCpZ1rFfJ2Y+UGWpiNE41rqsImYl4K+jOUi5ini7VDMryTKXPJXiphnzDyZSJq+F8cl5tG+mKerPSG1Ma3ntjpbW9mnzDIv16CX68g3WWe+17O72fd6+Trzp9d0s3etM18l5tt2s5evrww+QhBCJgGK+WmjSvDW6TsNYt4U71Ev3uS5jpMHYndec1NR8Tz3NOHaUHFuludeRDt/C7JCWOKY+aUQ87Z2ufOwuDe/n2i1J4QQQgihmF/WlAn/qrZLQZmYt55bREJdq7xVmBNCCCGTgWlNH9Yy30vmw/VelsuEdUDRMi/PgbwVvioBnrncm7R+63t1WeZlxnuTUVjmq8axXZ+QJugEi56XfWY8kbYmCADfjzf5eXSVAbH7uc0FXZfpz7yrvg0GHUvfu6t/WR2JoZgnhJCR43rqmwLLfKRj2BskwPO7o7XM1yUaom9d6CVACCGkJVwrRpSJ+V5vZYh52bbJ9Zb7ZEAjMf/UU0/hjjvuwF133YX/83/+D/7f//t/WLt2LU444QRs2rQJr3vd6wp95ufnsWXLFtx555145plncOihh+KMM87AZZddhjVr1liv8+1vfxvXX389fvGLX2BmZgavf/3rsXnzZrz2ta8d7FUuR+o88Jpl02yZL7jZB3lhUHCnb2qZp4WeLAUTJOZRZtJq6GbPxJOEEEKIE1cCPLk0YpNVJMqYpgR4y114j4JGYv6GG27Af/kv/wWHH3443vKWt+DlL385du3ahe9973v43ve+hy9+8Yv47d/+7bT9wsICPvShD2HHjh049dRTcdZZZ+Gxxx7Dddddh/vuuw833ngj5ubmctf4yle+giuuuAKveMUr8P73vx8LCwu4/fbb8YEPfABf+9rXcPLJJ7fzygkhhBBCppyqJedc7vb63HSLB9xu9rpv3QR4OoGdzc1ehg4M4mZvtgXac7OvEkeEDIrr8+BKwrjSxHwZFPp2Gon5448/Ht/4xjdw4okn5sofeOABXHjhhfjMZz6D008/HbOzswCArVu3YseOHdi0aRM+9alPpe2vuuoqXHPNNdi6dSs2b96clu/cuRNbtmzBhg0bcOutt+LAAw8EAJx//vnYuHEjLr/8ctxxxx3odhkd0BRv/6+rLfNLbZ13WuYjIOzFmzyXVr+wB+x/Pt4H+/MJ8PoLwOL+xF04BBAB6CO2SkaiTO/Tm0C5BZSQcVBmfdfv1yHWmU/7Rclb3osD+IBsD+TXn0/LHG72Gr3OfJl7vtkfAHzYvY7o0k4IIYQQktJojaAzzjijIOQB4MQTT8TJJ5+M559/Hj/96U8BAEop3HLLLZibm8Mll1ySa3/RRRdh7dq1uPXWW6HEdOi2bdsQBAEuvvjiVMgDwNFHH433vOc9ePzxx3Hvvfc2eoGEEEI0ZSEmYrOZDgpb3aSTg27h8FvkKCdkmeOyyptbv5+3wre5lVkRl2Ir+zojZFzU+nl1uNoP+lnUy0RO6+ZaZpPEtGbi1tZyvd+5cyeefvppnHbaaQVX+lWrVuHEE0/E3/7t32LXrl3YsGEDAGD79u0AgFNPPbUw/lvf+lbcfPPNuP/++3Haaae1ddvTS9OYedexre1SkbPMC6u7XGJOnrti5s2l6XSsfF0hQ8iypix+3kzpDPfTbpOY+UYJ8ISYB4rfXU3gsnaEDMUgsbt1xbPrWJ/bym2Y/Vxu9rZjQiYFutnnoUt9fVoR87/61a/wwx/+EIceeiiOOeYYAMCuXbsAIBXqJkcccUTaTrfZuXMn5ubmcOihhzrb79y5s/Re1q5dC99v5HDQCuvWrRv9RaLE0gQIl/OaAn3VvikT88YDfLgfCGeS8yg+zrnZzwCr+vE+6OTFfNABFlU2nRdFQN/Lpj5ru9nbRL8t2dh0cxBml/oWljGmG7zNLb6Oy7xv7GUf8/vPN8qEG73vx8eeB3S7+XMg3usUugVX+C7Qmc32neR9o7PZ+11g5oCsXvfxu8XM93Jsvwv4s/HmdeL96pdlx0C2L/zpOtmWsO5lxnez34m3tmhzLEIEZnz7y4z3sn5Al230PgyBmZlsrz/G+lyOr5fFUiqfNVp/Fcg6/dWgBYQuk6Ki08li5oF6lnDP+LrTj3Ftxsw3oY744aTAcMzOHrTUt9AK8idTY8oQ/TnpdLKfWt+PP4vdblyXRCin9bOzwOrV8fnq1XFZtwv8o3+U7Wdn4+PZ2fJs9i6JMonZ7G17/bfRr1OW1bmHUU8MjEUDljC0mO/3+/jDP/xD9Ho9fPKTn0Qn+Yu9+OKLAODMWK/LdTsgznx/8MEHl7afn58vvZ+9e/c2ewEtsG7dOuzZs2f0F5ICN6oQ84ZLqbf/2SkQ8xbLnj6uFTP/oj1mPlgEFhcRi3Ut2AOgccz88hfzB2EWz8OxhglpgQkR8yoZO/Szfv0oaSev7SWC2y8+sfg+0OknYr0fb4Ah5lVWDzQQ84tZuT8L1VszkJhf97J12PPCHnubtqCln4wAM1md7TmjSsxr99ReD9i3L960az2Que3qBHb79+cT4GkXV1lXJwGeFuD6PgZJgGdbQ97FKMR8r1eVf4RifhhmZw9Cr/f8Ut9GKzQR83pCTYt5/b73vOz9FATxea8Xf1a73Xivxbyee9cTAFrM2+yYumx21v5mnTQx7xL1kyzmR60B60wUDCXmoyjCv/t3/w73338/zjvvPJxzzjnDDEcIIaQRppt89QNoXqwrce4Z50lbpYBQFZ9YUp9A42nb87OJNr3efNonKZdiXp/rMumar+vDfbFotrnbl4nzQSYpKc5JBeNwWTVjQ21xok2z2EvnNKDcXbfKnbfMtZ4QUo4ZG6+9W4Dsp1YL+ijKi39dJifWgHIxv2+f/T4mScxLoQ7kxbr5HWceD3sP087AYl4phcsvvxz//b//d5x99tn4zGc+k6vXCexclnRdLhPdrVmzJmept7V3WfqnkmHiP8ti5m3JnqJehWXeEss6bsos89rSLutssbiuteUZI08IIYQQQpYByy1m3jVZKY+rxPxKFfgDifkoivDv//2/x7Zt2/Cud70Lf/Inf1KIU6+Kcdcx9bodEMfXP/zww3jmmWcKcfNVMfjLlrI4cnNfJuYLx8Ynf9LFfJlwd5URMtWUTTS5wjtslnlz0sqwvOfOLW722k1fCfd8AIj8eKLMNz530s1eH+u6Kjd7adU3LfNVrvXyWJ9HvSwkSbZ3jWUbm5AlxpXBeRDLfB3relldWX3dLN1NE+BVUScBHiHjxHwP2t7n+nMjc1MAecu852UZ6bXMkqEwukxb7k3MPiZ1wljq0nTCwBTZsv9KEOBt0jhTnBTyv/3bv43//J//cxonL9mwYQMOO+wwPPTQQ1hYWMjVLS4u4oEHHsBhhx2WE/MnnXQSAOCee+4pjHf33Xfn2pABUCEQ9WHN/L6stwjAIBst+GTUVHmNTPg2yFJ1hBBCCCGkFRqJeSnk3/nOd+JP//RPrUIeADzPw8aNG7GwsIBrrrkmV3fttddi79692LhxIzwRg3nuueei2+3iy1/+cs7d/uc//zluu+02HH744TjllFOa3DIhhCxj2hTnA0x45Uxzo5yQ67m3Ntajd22ELAF114hvujVZk73p1sQq3/ZGCCErmUZu9tdccw22bduGubk5bNiwAV/+8pcLbU4//XQcd9xxAIBNmzbh+9//PrZu3YodO3bgNa95DR577DHcddddOO6447Bp06Zc3yOPPBKXXnoprrzySpx99tk488wzsbCwgNtvvx1BEOCzn/1suo49IYQQG7an2zpPvC4PFG1Nt2XY9+Lq3HJ2Yowo8e2TS9rJZHdyby59J+tNV3kTl9u8S5TXFepV7eiGT1YIe/Z4CIIsE75M3uXKWD+ubPZ0syeErGQaKePdu3cDABYWFvCVr3zF2mb9+vWpmJ+bm8MNN9yAq6++Gt/97nexfft2HHLIIbjwwgtx6aWXYm5urtD/4osvxvr163H99dfjpptuwszMDN7whjdg8+bNOP7445u+vpWJM2a+xN11Elxg24yZl8nvKhPgyY2QUdLWe6zpOMOIeVd/fm4IGQVl1nWznWtfZZkHitZ1HZsLZMdBkK/TfaWYd1nmy+rk9c1jPb4ur8IVn0zINGHmiTA/S0D2WQTaiZm39RmUpmPp1xSG+WXoZEZ7XSaxLV+nWakJ8DylltfX3ljWezcYeI3BOtYhVwK8snXmTddTAN7+XwNRf3rFfNjLrHzOdeafz9aZ13VRGH+LhWXrzOstRFGYKMteWcrN9tMJ15mfBKrWmAfcEVIO67m5zrw1AZ5ej95Wb5bre+jE+043+8X0PMDvJOvMzyXrzOv14ZPjsgR4OkmeSKCnDjgktr7b1pmX5bZ15l98wfhzVCTAk9b2qkR5ba9ZT6aCQTJDN+mj14cPw2xt+GHXmd+/P1vSSj/Ym+vELyy415n/9a+9nPW8Dcu8HM9lmW+aAK9uH7K0LPd15s1zuc68XiPe84CZmaxuZibfVotW3wdWrcr6rlmT7euuM79unf1DsZRiXk5EmEvTyXXky9aZN4W6be15W7s2mfp15gkhhLRNnSdR18SbS8y72si9nqSyiXmzXN6nAkJR7iVr05vrzJsu9bYyp5t93ygXv8xl8e1N3OwpygkhhIwIW56HqnXm9aTAqLLZT4qY169dCnfX0nQrwdLeFIr5aWLopelWkJs9IYQQsgSUrX9cx0IvLfPSut4znKaaWOZNl3mg6D5f5mZvuugP6mav+xKy0pHu856X/26Qln2l8svX7d8fW+O73fhc78vE/P799nuYFDHv+9nkRK8XC/YDDojrbeJ9dnYwD6nlCsX8NOIS9aVi3hJPnhtzAkTwsGKekGVD20+7dWPmI9gt8+YxRBnifpFOgCfXohcJ8Opa5uVa84D4rFu+9/RxG5Z5V38NLffLGteDYZkwbzLWUop5W/w70EzMM3s8IeNBf86kZV5b74HlaZmXx0D8es04ehu2GPuVCMX8SmU5inlrGRPgkZVE3QR2+tzmbj+ImA+zIZWXfe68RcAP4s+ijofXx4A9Zl6754uYeQT7kzKdN0MoIlfMvNcBwtVAuM+45U7c3xTn+twl2m3ldWPmq9pwoqB1mlptRi3mTcFd1t4WM796dXxs6+cS81Kky/h3V8x8E8s8MLxlnpMDhBAyPBTzy4mSBHjpes1pYjhjmm7Sxby+f3ku2+TWpBYZetKnDwp2Qgghk40rE30Ty7zMTi9Feptu9kA7Yt5025djE7JcMN/z2squE0RKK7wroaNOoLdc3ezla5LWejOO3lzdY6Vb5QGKeVLFOAV+a5Z5c9p/GMu8LZs9ISsN12fD8fnJPdVbPqe5YRxeQqWf9yVwszehNX1qqGOlb8MyX+ZKX9cyL93j67rZ67XfzWXeBhHzrmXrXMm76myEkAzbZ0iWm4nwzGM9AaC/D3T7MjFvfneY9W0wrJiXE4U6hh6Iy133b7rYr9QEeRTz00BVYjtZB1Rb5qWVO72GwzI/KWJeLk0HVFjmxVR/FCG//Jxppae1nkwjTd+zddpHcLvZm+UQ9bD0SYZLn0qCZjHz6fA6gM74vjKz3qflhpt91MuW8ZRtgOKycxTnZMRUrRevj+uKef3xkg+9ej+smG/TMq/b2hLgUewTQshwUMxPMtaM9DXEvD4O92VlWgxPq5g379kp5s2nB5uYByjkycqlrfd82aRYci6t80CLlnnzu6KBZZ6inSxjTOHt2sra2uqGtczXEfMU+YQQ0hyK+WmnMpu944G4bgK8SRHz5v0xmz0hhJAJQVrcXa70tnhPs73NMq/dTM2M1DbLvNzasMxrl96mlnld30TME0LcuDxfzM+ljar6ScA2oagxk3u6vm/N796V4nJPMb8ccFrwS6xby1HM57LXA1m8PCHETpPPh9nWlUfCQ2qZD73s8+iJz6t0r9fZ7aWLvf486/qwV/4dJcf1/PJs9ub3JZC31tfNZu91Yld9WvqnCpubuy63nVe5xdvGdcXMNxXzWsTrhFlmEqsmYr5ONvv9+/MP0v1+MameKeYpxgkZHa4JMor54vftShHuNijmpx2X6/0gYt50vdfl42IYN3sp5JUUGS5X4LK63E218tIImV5cnwHzs6M/vzKuPkpC8WUmHyN+Xu9biZnXY0SAF9pj5q39Gop5M96erGjKLEW2NlViXgt5lwu8xnzoretiX9fN3iUiNEx6RwghSw/F/HJlRVrm+RRByNLgiJnXIj+SYj6MxTYwQjGfbFEPiPrVtz+oZb4urvXoadUfOTbh3LZlvkyoa5pY5mXSOduycZq23ezbFvP8OSYrgTrvc1u4iXluW5LOZZnXn10zI7yJLjO/O8z6NnCNVfcag1rmCcX89GBa4KuS4plit042+7qW+VEJ/CaWedPtNpf8To+jrYXmhmSvxL6uZd50LebTCpkGRvE+jZBzqU+vIcuSLPcKgJIu91rYJ5/h1t3sky3cF/fVlGXBtx2bbXSdLVdJWV+ybHGtC6/rNGViXj60ShE+bjEfBHnR4LLia6SwsAkPXa7bEkKqsU2g2SYDzM/6tIl520SE3Ot7lsedTrOYeVvZcnTHp5gnhBCS0PSJW7eXIttws5fL2ikYVnq9V4lrvMUyP5SYXyyK+XSi0xDh+rzMil4l+ifN+s7JhcaYD4h1lpKrI+bNelPAy+Mq93izn8ttfhDLvEvMD2qZHzSDPcU/WWk0sczr45USM6+PaZW3QzFPMupa4ZfCMt/Izb5OXHxZXe6mHOd80iDTxKjer6ZrvTw2P2/J3vbEkhIVP9uA/fNu1llvz6hzWebJisUm3s19m2K+3y8+fE+CZV5a2AH7+SjEPCEribbc7PXxchPzZDAo5lcSZXHz2vpl61OnrK37k8e13OyFv1EYAtAbgNSNPjQ2ANb15uuIeUJIjP58acu7psQyDyB2tzct857YxOc8jX1vGDOvj8OZ/Pea6/vP82G1zJvWe1murflVWfF1P3k+aUziPY0IU5z3elm5az+MmNfHWsRLoa4pE/M603ynk92r2c8l5mX2+rJs9mEY/5TqPeAWEUyAR0hzTMFecE7zin10e/MzJ/tIF/syN/tVq+zjT4qbfbcbb74fvybT9V6Oob/3Op3M7V6zUi32FPPTgC1evmnMvE3Im3XTFDMfhflvuShCUZRXWeZtbQo3NeSLImTaaPKeH8AyL9spWMwRFrE9qJi35Qdx9UuPozhJX3puEbqumPm2WEHiehKwWdPl3hTRTcS8FNymS7vGdJO3iflBlqZziXl9f9qyVybm5TVsMfP6um1Y5jkJQEhzzM+qjUm3etvCicq+I6ti5pdjXHwZFPPTiAqRLrcU9bIHyrQsyDZtlQr2Z9ZsmQwPyB6cg/2Wa02SmBf1YWh5UojEBmSWQ5vQJ4SMjppiHrCIeVUU82252Vet6FHo7xDqg4p5ivSx4LKOA1kiOvO8TTEvHzy10B5WzLdhme/38w/90k3XFAN1LfNmnUvME0Lc2D4r8jMpLffy+8KzpKAxxwAmPwGexpb0Th53qVqt8M9CCCEEg010yT5aCUi3+0ice5b6JMO9Ssr004gW9Gkiu4YJ8PRxIzd7Y4x0HEdivKpkdzY3e9PlvgmcCHDiWirOPC47r3Kzd7lymiLetCwNK+bbjJkvE+hlLvS2c13mqiOEuKnyXgEysQ4MLuZ12SSJeVu7YSzzhGJ+eil1sxcPq9rF1LY03VS52VuefgrJ7qQVXpfRGk/I0lDTMl/oIpWB8R01dsu8a9wRuNlTrE89todR89iWsKqsjauP2a+qf5nlvImYJ4RUU/ZZaZIAz9ZGhrdMupgfZI35KjFPilDMTztVYr5JzHzdh9mxi3mXScAUC2VlhBBCJg2XdaWJ1aWJZX5QN/syy7zNog6M3jLv6k8IIWTlQDE/6biS31kt89KSbcTMh704Jl7G09eKmbcI4VFNz5dNV0ba6q7RT1NSuIfJFomySJSXWQop+AkZDxWfNalGPC9eg36sCfBMN3ux9+S9teBm78+Wj0dyuAS1LabdJeb37Wsm5nWseR1L+ijEvI57VwpYWLD/XUw3e32s/y46uZ200Ovyqph5895sbvYyBl/uCSHtM01u9rYs+2asfJOYef0d6vvx95vOJaIz23c6wKz4WV0pUMxPKzYxL13qw162AdlxmZi3mUImQcznXOg1UrCbbcqs9YSQ5rg+P1Wfq4Zu9kBeRegnlYkR86KdDwztZi/7Nh2H4r+UQWLmbaK+38/EtWacYr6OZd4l5qXINt3tNVVu9oQQQiYbinlCCCEjYgAxD4uKmLiY+ajoJTUIcm17MjKkSC9zs5fttBC2CfA6Yl6WyXFsYw1rmZdLzUnruCy3WeZt19eYAl/2l23MfrLcBScJCGlGVfx81Wdq0sNvmsTM6y0MV94SdC4o5gkhZFkzyJNz3T4K7mz18lzvlehjtvWyNmmG+6RNsB/wu/EG5EW2LDct6kEnCx/SGeubZLPXGfV1ud81+rQk5ttKpMdJgVJsmemlmLc9SNoEeFX2+LbFvFLxQ2tVzHybYt42Xlk2e0JIPczPUJnQLltuTrrXK1XuZu/KQdKmyHddv46bvfndql3rdRvmBSmHYn6aMePlXcnubGXWupou9eNysy+Nay+LfTfrCCGjo+xzFqEo7oFKMW8K/jBMlITDel5nabo2xLzNM0BixsxXiWtTzFOMTzRVlnnX5mory11tZNSJ66e3jtWujjs9RTkho6Hqs2tr4/J8MQX6MGLe1mdQXNd33b+2qktRbxPztph5KfS5RB3F/HRSSIZXIdxlmUyMZ/7S142ZH5lINsW6KdTlN0Jk9CmLmY8c7Qkho8E22ab38rPtsuq7xLxtcrFCzEvLvLbiS2u+rJNj6DKbZd7vZtf1g2J8fTqOI/mdFu0uMW+bCPCXIKvPhE8umPHtsty2TnyvZ3ezL3PxlNZ0+UCp24zaMq9FvBm3L3FZ5mnBImSyqSPm5bFZFoaTL+bNcn0uPQz0d1W3Gx93u/XFvEyAp5N+zs6uLBd8inlCCFnxDDq5VSP+HUBmoTdxiXnk9zb/4PQSLVnm5bErAV7u1i1t/IY/qU3c7Adxw59wMT5KbGLe5mZfZjG31ZfV2YT8oGLetMhrN3kbdcS8aemX5WWW+TI3e0JIzKCfi2HFfN3rj+pz2+ZkABkcivnljtPNviIYLhugZlkrN2scN3GzJ4SMH9tn0hYrL/cSl/u9b/QLAOUBoRFAByRT98LfUAYS9j2gn2QNq7LM66z3dS3z2stJtjHbW7dOZmVvYpmXyfJkuxVCWVb6upb5OmJeWt2B4Szzg4p5m3t9WayoS8w3zVo/zqg6Qkg1tkdz+RNXd2k613fHsGJc9m9qmTfPzRU7zMnINpfRW25QzE8bZS72tnXm9QOqXKouCjO3VUBM4duy65SJ+bZ/5cvEPFDuZq/LQqAwCRDCvi69bU8IaQ+Xm72stz1NGG72CJG53yP/dBOKpx3zySYUPtWeOaFZwzJfJ2ZetjHbuzYp4rU4d1neV5Bgr8K1frxtnXldpo+lm718SLQJcGBpxLwp4IcR8/rcdkwIIWT5QDG/3LFa5o3p+TTZnPmgDcu5LJtEMR8Z/ZQoN9sTQpaeKu8f/RkuMSHoj7cp5iMRaJyaAyyTlqbL/KBu9mZ715Ybx2JpL7O+6zpbDP0KEv6Dinkz9twmwKVwriPmZX0dMV+VqE6KeTnv3iSbvSyXdaaol272tskCWccJAUImh0lwsx8G8/5dIU9AeWgTE+BRzBNCCBmYuk8ILst83XHLPGm02AegPKRL2nle7IVUEPNAQdCPWsybsfSmhX+QmHl5vkxFvJmoTiav27cvf2z202VSzAdB0TJvJsAbtZg349arxLw+9rzq5aXqWOZtcblNYuZtTKJQIGQ5Mmkx88PQlpgnFPPLi1pL01kC56bGMm/Wu/pM4LcWIWNj0t7/+n60m3ydX18ZMw/E4ttLyiH2ZltxrGPsU5d2z/79BxiBfw3d7CORzd4WPy/Hkee56/WqBXmZmG/SZpwMOMlgi203y5rGzJc9JLo2W70uq+pr6+P6+bWlr3FthJDlRdlEm+1YE0XLK2be87Is9bTMN4NifppxxczLeHkdM5+eyycMKYhNF3WIusKFS+qGoQ03e1PMU9wTsvQ0/Qyan9syN3sl6uSxTpgXZucqissiP59NR6/to4+bLE0nLfQuMS+P5Ti6v4ri7/POAcm1arjZyzozoV76pyl5ylmm1nxCCFnOlAl7k2kV80BxaTq9l0vT+X4m5lfSUnQmFPPTinbLjILsoVIvwSST3eXKhImikCjOLIOoK1y8pG4Ymoh5131RuBMyGQzzWXR9D9meSFwZ8fXitVGxnVJx4ry0i/FE4iVPRnUs81LM25Lh2SzzZt9008voNRTzVbjaUdC3Qh3LvMvK3oZlviyDva2N2bfMzZ4QMjpcOS5cFH6qjM3VfpLEvBbr5vdTmoubNKaxmL/tttvw4IMP4tFHH8XPfvYz9Pt9fOELX8C5555rbT8/P48tW7bgzjvvxDPPPINDDz0UZ5xxBi677DKsWbPG2ufb3/42rr/+evziF7/AzMwMXv/612Pz5s147Wtf2/R2p59C9npHNnurFT7IxH4YJEI+RFG4T4qYN68xiJgnhCx/XJ91m5+i6ztN5YtkbH3Od1GXO2LmbQLdbONq70qO5xnL1OWuO4SYL2s/YmHvcoW0lfd6KLjZmzHz5rE55r599pj2UcTM6zFcsfO6rU5mVzdmXveripkfVszbjm3XoNgnZHw0iYl3tZlEMe8aw/OK37O+D3S7RTd7kqexmP/zP/9z7N69G+vWrcNhhx2G3bt3O9suLCzgQx/6EHbs2IFTTz0VZ511Fh577DFcd911uO+++3DjjTdibm4u1+crX/kKrrjiCrziFa/A+9//fiwsLOD222/HBz7wAXzta1/DySef3PxVLjdcy9KZwl6K+fQToEX7NIl5zSCWef3aCCHjoY3vhfwYHhaQt8CbTweO9el7s/DQE2080cbP9498o51XHC91ofdjn76OcJ8H6rnZ+12gk7jFd2bjss5stgFFwa/Hk3W5a81CZrhXq/9p4S+63DHj6+tYy4HhYuZN8a73WrTbxhlUzJc9xNYR864yinlCJh8516ypssrL9qMSwIOIeXNiUUa5+T7Q78f32+1m8fPdbibqXTHzMq+K+XugWa6u+I3F/Oc+9zkcccQRWL9+Pb761a/ii1/8orPt1q1bsWPHDmzatAmf+tSn0vKrrroK11xzDbZu3YrNmzen5Tt37sSWLVuwYcMG3HrrrTjwwAMBAOeffz42btyIyy+/HHfccQe63RUYHeCyyqdiPSgem2Ie5maKeVkGUVe4mZK6tqDLPCHLj7qf6Tru9GadHt9cn17EzKdJ+MSa9WmdMtrJtnr4RDyHfqZu5NOKHxTj4U03e2W8NtPir8tMMa/7+d0sZj+9r7B8P2pqWPWbWOYHSYC3FGLe1a/Mnb6OmCeELF+W4jM+Sd8rk3QvywXLU0Q5b3nLW7B+/frKdkop3HLLLZibm8Mll1ySq7vooouwdu1a3HrrrVDif3Xbtm0IggAXX3xxKuQB4Oijj8Z73vMePP7447j33nub3jKpRC3zjRCyctCfe9sEZoubVcmFxcnUsWx9IOq5t6pwrWVKlaAfxVYn7n1SN0IIIdPHyEzcO3fuxNNPP43TTjut4Eq/atUqnHjiifjbv/1b7Nq1Cxs2bAAAbN++HQBw6qmnFsZ761vfiptvvhn3338/TjvttFHdNiGEkNZpqhRs7etY5k20+Jb9FQa2zJteSSHylnlTEdni4/WxWeYqt1nuzfbmcdQrtgXcsfMDCPqcRd1z1IlyM67dOo5oa42Z73ecMfOmZd6Mddd7fawx49tlDL2ud8XM6/JeDzn3eOkur8dpYpmvKjMZl5s9IYSQyWNkYn7Xrl0AkAp1kyOOOCJtp9vs3LkTc3NzOPTQQ53td+7c2fq9kroox35U1yob31Zn62OW8YmEkKVhHJ+9Op9/26SAmQ2/LD7faKdE/H1OhUk3eOPYzIpvLi9qo6xtYbwKd/sWkt3lxLNx2z2ZpsAsKxlHtrWL+axs377seP/+vEDXAtsm5qsS4A0i5vV92IQ7IYS4GNd3BL+LljcjE/MvvvgiADgz1uty3Q6IM98ffPDBpe3n5+dLr7t27Vr4fuPogaFZt25d805RhTUkCoFgddFlMpgBeio+7imkcfL9ZCmlvhdv4QywmMTWz+wDAj8feJjLsBMhfiC1PQybx9Mm5iPjnJRxEGaX+hbI1NHEYj5o+twyy7zG/O5XOAgzxnVlcjs5tpkALxnPluEnTYDXicv0b44uByoS4CX31JnJl3WT8rIEeDqBni3Znl5vftU/Sspn83u5Lr3Miq/PTWSZUS/FeYhOrj4T83lLug1zIkC3NWPkfR/wO9l4SsF6DGT9dHZkudcWc420oNuSzWnHC91flwHASy/lr22KeZnITrczkz/VscIrpScQ7M8Z47DMz/JngbTM7OxBS30LE0XVeuy29nUT4I0q1dggCfD0T6Te65/QTie+z9Wr4/0BB2TZ7A84IP4OWr063ubm4vPZWWDdurivPtbl+id6zZr8NUeRBG8gDdgiyy6T3N69e8d+zXXr1mHPnj3NO1a5NqoQCPdZxPw80NsTC/jeS0LMLyRifiHewh6wGNd7C724TZoQSmau166ogShLb8JyTDG/XDkIs3gejqduQpwMub5N7Ws0E/P59/OAYl7JBHg6NbAPBB0AHaNvB/C1QO5nTzIdU8z3k+b9fFk3+U2oFPN9h5hfjG9zdfJ7NC4xH+XF/L59WZ9KMV9hmZeWeOlmL63xprU9iuL6UVnm9T0sLnq1xbzuN6iYn5k5CL3e89a/4TjEPCFtMjvrfj+vVEYp5jud0Xy4BxHzZiJRLebl96fvZ/tuNz7u9/O2yH4/3vbsycS85xXFfL8/WjE/sAZsMH4VIxPzOoGdy5Kuy2WiuzVr1uQs9bb2Lks/qYsyNleZbG8eT5OYJ4QsH6o+31Vu9lVtTSIUXfDlsTnB4AGR8XTjeYjXjY/KY+Y9P5lwNcpldny9H9bNPjlPhbQfljpRhKE4juInobyYz1vYMzHvXgs+7dtAzPcDu4AvE/OmGG8q5nU/adGXQl++hjqifFAxP46YeULIdFH38ztJn3PzO1Afm1vVqiF6C8Plu+RcXUYm5qti3HVMvW4HxPH1Dz/8MJ555plC3HxVDP6KxrXefG4zBfu0i3lCCGkL6cFjxsvbxLz8DpSWefG9Fek16hPfbi3s/TAvvrVlXopzm5iXexU5LPNJmyCZRK+yzEfZeWpdt1jj4zokx8k+yJqlYl63Fwnw5PJxNqqWppP9bUvGmcfyvGyr05YQQiaVJgJ9OYh54mZkYn7Dhg047LDD8NBDD2FhYSGX0X5xcREPPPAADjvssJyYP+mkk/Dwww/jnnvuwTnnnJMb7+67707bkDZxCXxZbx5PqpjnBAAhK5thLPODXMv2nWj5fiw8tZiWdIu1PW1fo62tDVBpmY/nIsZj0hhWzJsiu+pYWuWbZLOX5xoZS6/PbXubhV0yass8IYTY2LdvNKFwbcfMB0HsVu/78bGuW1zM4uVXr47PtTu9UnGfbjcuP+KIlfeFOLJMcZ7nYePGjVhYWMA111yTq7v22muxd+9ebNy4EZ74Xz733HPR7Xbx5S9/Oedu//Of/xy33XYbDj/8cJxyyimjumVCCCHLHpeX0gi3gtmhjjdVG9vKWVO+LZbDevFNNkLIZDCKz3cdL6VxbON4HSuZxpb5W265BQ8++CAA4Gc/+1lapteIP/3003H66acDADZt2oTvf//72Lp1K3bs2IHXvOY1eOyxx3DXXXfhuOOOw6ZNm3JjH3nkkbj00ktx5ZVX4uyzz8aZZ56JhYUF3H777QiCAJ/97GfRHVVKxhVH2cOn2c48NvejvL9R9yGEEJM63yPy+0aVlCGvmqJIpEUPUlf5MPQyt/ecm70q7jse4Ks0fh1+0iddIa9f6BPHveskfGGcnC5xrQ9VmHOzj9t2DDd7cYxiAjzZxpYALy0zsMbM98VDmsqul1rVvU7Ogi7j4HWZjJmXVndXzLzuq+Pjzf8yubdZ1839UlnmXceEEEKWJ42V8YMPPoi/+qu/ypU99NBDeOihhwAA69evT8X83NwcbrjhBlx99dX47ne/i+3bt+OQQw7BhRdeiEsvvTTneq+5+OKLsX79elx//fW46aabMDMzgze84Q3YvHkzjj/++EFe48qkdsx8mZi3ndv2I3kBA4zPJxdCloZJ/ey5vkds5ea68o4Ed7k6WOodSfJUskm/Q50YD4jrbAnwbOi6SBXLAMhlT8MQgA9DzCOJk49vLQTS4zTOXbyUtA4iZl7Esmcx83GZXGfelgAvNMSzSc71PXmJ/R4QJHHzymjjEvNyAsAl5s0M82Vi3hTidRLgSWzZ7E2GFfOEkJXHNH0H2L4DyzyHpGWe2PGUmqa3QDWjXB7AxViXpgv3GUvTzcd7c2m63nyyNN0LgIrg7ZtHvPScXp5OL0OnAOfSdNMm5smwcGk6MrnUifnLtyl/P5vj1RHzsm0HiUkcuaXpoGPQRQK8dAm7ZPNF0GASFBiqGaC7Ohm+IgFess58ZpnPJ8BTq5OlbPzEMu53MzHvd5NtJrPM44CiZV4sV1dmmY/FfLVlfv6l7K9nWsJNgiD+KYsf4JLr9YEg7CRivp5lvo6Y1y6gQHMx/9JLXvo3MOurxLwLl5ivszRd3XJClhouTdceVUvYjevaZTHzsq4sZn5mJt58P97rOr3G/NxccZ35gw6K4+VnZ4GXvSyOmR/nOvPLemk6QgghZPqoq4CkmcBl/XdY6rW5Wbvc+37cXieuqxDzYT/IiflQGWI+XJW1TcR8r+cJMd8B/D7CKL5OiF65mFezaXmpmE+y5u9bjNv0E/ENxOI6/ctp8RvF1vb4NWdPWEEQu9dLa0yvhmVeblrMm+WmW79LzJttdL3c64mIugnw5LVc1HHRJ4QQzbR9LzS1zJNqKOYJIYSsQIZ5UqjjpSTFvK43z/3YvT70Y4GvVBw7L00ZfhL/7gkxjzAW6P24LEQ3HisV8/uytlYx300mA7SYD7Pl5zwv6TNTLea9TuJi30GI2ThsAEC/30ni2jPLfLCY/WXkXEYQxJZ2SSzm82720squjJh5MyO9LkvblzwgumLWzTZN93wYJYQQMg4o5gkhhEwBgyijNsJ1XP21WHe1kQLeF8eGmE/rFRCK2Ho9ttIW+sQMLJefS0zCYRjFY/hR0iUxm/tRIswjhH0va5NsmZgHwihCGMWCP45/V+mEQqiyhHmhTkgXAEAHoQJCFYt67b+ordtBP0Q/mYvIWeaTMTIxL/6UsMfM5y3zYaWY378/c2s3syJLTMt8aLHMu0R7FHnpGGZ92aRAjN3XkxMAhBBCmkAxTwghZJlgKqFhxXxVX1PMy+tJAe8bfSLRRtdHQtUKZRv5+T18ACHge0Ckf8ITy3wUu7kjSPZeN76U1wX6PnJu9l43mSjwAQQIQ2GpTzLGZ2K+H5crPxbzXgdhELfRYj5SYfbSw1mEYdwm1Eni+uIlCTEfJpZ55c2m9TnLfPKnCvpCzHtazHecYt61JFKVmC9zhXeJekIIIWSpoJifJnLrBZvZ6iu2Rusipxe0nNv2hBBCJGGthH2yvd7bJiTy+xAKiLy0bRipxJIen6sgaauXpPOjeHyFOJV85MVlSl8ziIV3nOY+awsPITyEygO8CGGkkvuMYsu8FyYCuBNHCXiZZT4MO4jCTMQrIaKV0u06qWVeIQtmt7nZW8W8clvmpZiXor7SMl+SpC4v4jtWi7ze28aoI/5dEwV02yeEEGKDYp4QQggZK7aJUZcXQVlbrUyjWHAr7WaflIeJiI+8bEm5SMXrz0cqnQQIlUJPxXt4KudmH0ZIypPj5B5iy3yUCWYVQiUx80EQi+0wiJeUA4CeiJnX99IPYpGuEAt0HTsfhnmBDuhs9kkZ8oLf5k4fTygUBXx7Yr6YxV62o/AmhBAyDijmCSGEkNbQKi4qaWNzs1ewL4PnW/ZJjHyUxLsjTKzqsU97EK1O4t/DxPreQS9KrO5RlGTK7ybx7z5CBOhF3cSNXgv/OEO+ijxESbb8SPmJ4PYQBXE4QBR1ECFEhP3pK++HIYLFOPmdznq/KGLmdRK9fpIgL3azByLErvZBkAh3lVm/Zcx8hHhCQFrby8S8bZk5jSujMiGEEDINUMwTQgghS4JpbS+bADDb6nh3xHvlp272wH4AHtLkeeiI9jOA8hGiizApDyMfYdBFCB8hvORKXWTJ+OL4eg8+PNUV1/OhMAM/QiLyF+K7CfehE6tzdBLrtR9leQNUIub9qIMo7MT354fwMBsL8z6gwg6U6qQu+aof91MKUJhNUgwk50kkmZf8aRQ6QOKAEEYde7SY7Vxl0yk6rt/6P5FMkNAlnhBCyFJDMT9NDBwz3yRenjHzhJCVyDDfZ/I7sUyQa7w42ZzoH0Zm5Lioy1nsk5h5hOhFsYW6B4UQOjcKEOClLDN9IsYzy3yAMOom1vzYKyCEhyDoJuLZT15BbIFXkfYciDcVxWI+DPzkdcxART4idLHvxXh9+8V+B0HPQxAA/T6g4OGlhezvEibm8X7YRxBpN/v9iDCLSAFBBPSjTiLWs2R5kZpNXPoT0a86wpqeP46SZfTCqGNY5vMiPR4vKwu1R4By5zxQCoDnlbrjU8wTQggZBxTzhBBCiEFRVJv1nhDZReFX3l8Lctm+TMznx9R9e5FKxLxOhpcsVaf2oxf4SZy7h1D5yVJy8XJqSs3EWyLUo8gDgi6gkgz3IeJs954fJ8tT3TizfejHx/CAwAe8LlQ0A6Vikd+bj7PdBaGH/mKSab7vQ8FH1M8mL7J15jsIVVyv0EOEXupCn7rOiz6R8hOhHFvmPRVb3VUEeIk1Pl74T5d3Umt++tdMxHzO8u7909L/LUIIIWRSoZgnhBBChqIscR3gttYby9DZJgUioBfFdfF68J1MzAex7t4XKITKT7uHkUIviJVtpBRUpKAScR9FCgj78QiRB4VEsAeJJ1bUAdLEc4nQV14SPw+oJOY+CBQUFIJIIUqS5+2f9xBFHvqBh8XIR6SAXuhBwcO+MHttOot+P/IQqLheqeSvlAh4ndwu9XkIAaWipF0Y318uxl24vSOxsEdZbH36P6Hy++TPkB1HeuLA8V8mqEqURwghhIwainlCCCHEQd4dXpRbLPNxYrfkuLC2vG1cL00Gp897Ub5tCD8tCwH0guy6vQAIlYf9gXb5jstj0Z2MEyUTBkFWF68jFyR1sZgPAwgVnQnuKPLiMs+HivzEnT8W+QohgiiKresqRLgIRMpDqGZiMY1kTB1jr1HywIdSXaikXldp534pqj0vqVd60fq+NUDMQyeZJ+lAeZ1indjHFvq8P4Q5xWKnyndD5xEghBBCRgfFPCGEEFKgKjeIl5lgk8RzoYjH7jlMu3pyIExEdrZkHAD4sct85It2fmKZ12LeR08L8yC2lsdJ7IUEjRIRDggxn11HBYmFPUqc+COgH+gcK7GLepDEjEeRl9xrnM0+TMR5LObjdkrFVviXgm4s5gH0EMXHkQcFhf3CMh8kEx0RPETKS6z/+T99pJPZaWt7lJ8D8KKsTVzRSxtoN/uO14kFPTK3+vz/CsU2IYSQ6YZinhBCCBmGVPerZJ12PxXpJnnxnt+HQJrULi2Hl4l5BfRDD9CG6SCZR0hN4EnDKBa78XHiJt+P3fC9RMwjyppnC7cnbvkhErd9H1HoI4yD0mO39aRTpDwoREn0v0pEfIjI0+EAiZXe8xBEfnrL8Z1maeD9xKddx8en2jw50K8jEobwMMySz0Xa1R5Rzs0+XQs+0knusvbmPvTyVvZ6CezC8brTq3gRQjecmCCEkJUIxTwhhJCpxOUCn9bDN9zdG4xdco0QSNZkz5f3QmFNd8TC98K8W722woeRj1B1sC/KW+ajyI/Fd4IKfCHmfSOBfmaZV4GfHsdtk/7aMh8CUZoUDwhCBSCAUrFIDRNLfxD5SYx+ksguOY7gIUrkvEL8twjQS9zsuwhVhCgJRQgBKE/8PXSmeIV4NsLz4HlxQru8QPbSeRJfGO896YSQinlhxU+FfYQQfYeY96Ewi0h10PHm5UXT8rhdUSRHqgN4ZgrDIm1p/bJl8gghhKxsKOYJIYSsGMpi4PPn7vax5TmxQIvynhDo+xL39DBCoj6TNoFbzEfKT1zgfUBfV/mZIFeILeyJmI+km30EsUh6JtTTFeuEcNeZ4gNt9VaZoT5MmysAHuJQ+igdSkvYSGwq6bcYZm0ChIng92K3+kjMSGgrsvJFbwDwjP8FP31R+cX58mghr8yypKMS/bN9BIX98ZRFQcwfUIitl8Qx+XXEvE2Ed4x9NfE96GmRahirTwghKweKeUIIIROPKbZdZfl6m0i39zFlUmE5OCHq82JeCPWokwh4H/uCemIeUZxYLor82GIdJMvERcJ6bYj5MBHzQeAlLvJIxXykBboU88k+jnHPssTLJiE8RPARopPUxevJB4lFPrbGdxCquDzu5yNK6kPlo4dObI1XHQSJkAeMyQkg7R+XieR4SpjftRrX69CLsIVIHmce+3kxL6z1lW7zyvjf9+qJZkIIIWSpoZgnhBCyopBSLU00l6vPrO4yEV3WJ9mUl3O17wWZlX1fT9tRPWPts8RqmoyXCt1ILxGXrOGeJrATN6eAsO8h6iVVaQZ6ZOHyaRb6rI8+1wI+TPZ5MR/HskdJhyDpHKUlccv4cjNJbRC7ucNPYug78TJznkqy6esJCS83oZHerKcQW6i1mBdNdD57z0us51mNb5mPkW726Xn+T1ByvK8wVrkFvYNIdWpkvC+3zDexoGfvSFrdCSGEZFDME0IImThMq7fNVlplP+0lW3Hc4hjmtXqJVT3Uy8JF+Xpd18tZ5v3EGp8IeJ2lXQnZl7OYi3Za/Pa8zNKu24ns9FEPiFI3+6SNUK4FMS/uWTu095EJen2JuD6zpgdJzHyEeB14Lcxl3jyVXi9CpCIoBFDwkl66n41EvHv6xvV5+k+898I4u76R98AXy9z50jJvsb5HysvFzGfl2f2HMNzsvbAyZt6R39AgFv1yDJWbJKgnzD104Hs9dLyedQIgf48U+4QQspKgmCeEEGKlyo09bVeRiK7etYrnprW86rpZZvgkzrrbxXM9Vegjremp5V0I7jBKxLysN9zse1Hi4i6XgNPu8ZGfDyqX99kzxJa2yuuEdYnJXLuVB4GPKMgSvfXD2FVeN9XolxQZe12nt0DFYj4y2sSx71EaHx8k8eqxmE/c4QHRAiIhni4P0/aRNJ+rAEqvDa98xILTg44RUDo23gsTLe+LJHm6vVynXvwNkxfuKfva8J6Kx1IqXxupeHUAL9mk2FfYhyrLfB3RrDALDx0j7l4fzzZKkCeDOhgTTwghREMxTwghZFkSZ503YuYN13hdL5eSy7nZi7FQOBau5CapkPdQasaNjK0XZ5tPY9/DJAO9JTa8TAyaol5744deZqUvink5KdCHW8yrZEwfUbJ2nPICZAnrtFjXFw/haQGusrGQxN930rKuqNf9O3G5nwlYDznlXf3HUF4Wl5+W+QijTirqi5b7MHm9Rf+PeDU90+ejSKgOiPMMYFbcbnLshbVFeaQ66Pr7EPnxJIPZL7bM2933m2TCH23WfE5AEELIKKCYJ4QQUoktzrzq3J60rnr8eAwjuVzY3DLfn5nBc/vzlvUw8u0x81LMR0Iu6mvIaynEqhhiHyFvmQ+RF+kaGayOrD4KPKgoFu9BlInLNOO8/juI7nIYORyQ/T2lmNfx8n0Uxbxuo1+3y80eifU9bq9yx2FyHo/TyY+cJpWTVwEAId49lT9PX4HsL1+VEOmVqeWLYr7jxZb7jord8eUwabiCZahYzGf3E0bF+vjueoll3kV9N3ugBy9ZS8Acz8z076XHFNCEELLcoZgnhJAVTp0M7/mYcs9ZJ8/trvH2e+gZ7uyhylvVe1ETMR/vPdXFfOJmL8V8TqinYt0YX8e7m2LeWOotZ30PuplbfQTghbhtJF5HpDKBDmRx6oHy0+FkyLzMcQcA+8WxzaXeWFY+10bPL7jEfH6s7H9YpdZ5XROJ9t2kjZ/Y42PhH8r23gxSielJy3ziPp8KbWGZT93stYu9/L/WItXPXO7VDLJHGt1WegcYMjjyperNLV2XW8rOMklguvS7xXUP8eJ7OsFeJ7XMy+XvTEwRHk8I9OChB5uLv5eUqWTiQKXlTr8R63UIIYRMHxTzhBBCChQs2FLMO6zb5nmVmJf9pJgPIx890zIfDCDmu10s9rTl3GJhT5aFi4+l8ENRzKd9xGaeB34m5rWrvOHCHan8REjq/q5fA4pi3mxrinCbsLTt5Wb2s42VlcV29/Q1CGHte4HRVl8ha6O8zILvFOUA4Lct5qU3hTlGF8BMUj4DT0y45O5e+QVrvSs+P+0v2kHJCYEQCvuSeQWbm318bhPzHexD5O1L6txiPu9mb8br58kn40PNttWM1l2fEEKIhGKeEELISMmL9qy8F2Q/Qb3QEPMqn0HeZpk3hbYyTNX7VAcqMNpGfmq6VFViPjLK9dg6Lbw+N8S8irw47j3M3U56bBPo2gXeNldgtrW5x8vxXXu5VVvm3SjZyrNNLei4+aTEz86khT/KxdEjSQ5QR8wL0a7/05X8T3GIeelq78d/hTgzvgcohzwXfbxIi16jrTHfk4p3mXlQFMX/9Apx+qa4TsdDB8A++LDHzAMdwMsL+my8WbgxJw9cIrzTKFkfxTwhhIwPinlCCFkhuNzpe6b1Gdr6Ll3rS+oslvl4K9b3pOt8mZiPkFteTaVZ44XF12Y1F/vI7yDNU+YQ85FtksClmvXYDjGvkiz0UZTsLXHXLjEv3eBlG1PM9yy3ZRNaZW72Fo1ZOlaRskUBq527s5ZZIr0MM2ZextHb0OUhSi3zuTHk+D6AWaHAzXvP7lcn6Pe9vJyOLJnygThURC6Ll44k6vPY0i0m/f3n0PEXzA5JfSzmbZb5UK2x9olvI2sXL7fXcdbbPAKc45rzX0sg7hlCQAhZKVDME0IIqaQQMy8t7IYg1mut29Zwl4nscseBlwr5KIqTweW0TqpOZdyzxWou9sr3gJ6hqHUqd11mE+zKaGdeQ8bMi3GiEElyNOSyzpti3nZuCnozgZ2+LZcInyzMu7Qfe7mkeEgS7em+Osa++B/ke6b7vN6bjzQuy7wPRIlbvvKBXKiAdrLXFnsxhies3Cq7lm8k14uSc1+/9cz/sOTlFcW8HMM49l9C2NHnntEmW7YufgXC0u65hW2aWT8V6sOI+azO98omezJowSeEkOGhmCeErDjaWBd9Kai77ru7v51eVHyoNuPitWDXru9ZjLtXsOxnlnlPnOu2WbtIWOZV4MWWdnONduPmZZ9Chvm0PNn7XWAxyrftx7HwUZRtBapM1yrfz+UabxPkEWLruq2vbG+zzAN2y7wNm5u9HN/lZl+Hsn628AC3sDfKPD2DkktB525v7SspZrBPy70I8PvJzS4afeTmJUn7AER2Me8ZYj4V99EsAE+IfR06ECff65aJWfFSQhVbu7XFO1KWvZJdsmm0SD1XegnpPRKombQuUh0oVRTzqnOYYzQp5gcV6hT3hBDSFIp5QghZhtiEe91l4XRZ3rU+31Zb1XuBj17YybUzxXw/yfKuIOLagST7eyJ0AgCBVynmIScAqsS850EtxPeWuj5rbZ9Y0JsKWpe13dwrAIuOthajfi6WHciS4Jn353ImcOES8+Z9NSEqmVTSdbKNksfW2HT9qsNElPvlnvqFxHYa851cIub9wLDqyz6GmNciM5L/c0J4GmJei3s/WkQuSR+M66luasUvkIvV78LzvWzeItl3tPu+mHgqurjbh5f1WtT7Xl9MEPRFOMAMMkG/zz6QJ2L1vXwyPc9h1TcT7uU9CJoJe1r5CSErFYp5QggZkKaWcntEbP3rlLnlFvqk4jUTBY1j5lPLurDMJ/X7evHDcy/oIAxkhvgkFj3IRLnSx6a1O0gs8Qrxeu0hgKBTVLZAqoBVkD20u4SKtlTCA4Igva10XxYSD3GbZbHo5qrnNsu8tMDLdsOK+TrY+pn//2WivAzljF/Pt0rJuV3XeRNXtRGvLvcS+ka7EjGvOs3FfO5/XSZMNGL05VJ78HNW/LRedZLxzGtrhDj1EJu7PeM6sQ99fCde1lTiV/wXy/es5xU/J/HV+lDJ31b5e+3jqNn0nn1kx+lr8WyCPl9WnYivPoOEonBCgBAyjVDME0KIhTqCu4koD40tX1f+xJ1OArgybtuupS3pIq7cXOM9jn33K8U8kC0Nl47RTx58Ax/oiZ+SELFAFwJe6fXXlZdXmUE3ca1Hpl4DP7Xe56yWydO5XKM9J+ZljLHYm+7qpgh3USXmq+LgzWvJdq6JgLIxbdRxd8+P146YHy5qvw0x76pv8npE21xcvhbxXdHOFr9v62+bHIDhjpLUq26SWMEh5pXKl3oe4JuW/SQPQM3vhao/q0v4y2IFu9t+lAp2AN4sAiWz6HcANZvV6zIjM79nFfb18ApW/Tr9zesthZhnOAIhZDgo5gkhpEVc8fh1xbytfyrmS4S52b4XiOzw8Kx9elGSdC7NrCUqIx+5BHN6nXe97wv3+F4Wa6v6PqLIR6Qt7ApxnLtFnUbakCpi2OUa6zaBnF/V3I50AnAlkjPLbJSJeds1zWOzrcsyPy4842qFJdbGwGiS99XMgVFIpme7G20t11n0PaT/S55sb/vbGZZz7ZHgSY8BT4j5rnHnUsyLxzNvFvC6QEfE3Ou93KqwvFwdzx+72XuFOPz02HKLkkhl32wd9NARglNn25ciNFRa8Jtx+UjPm1CcCKjub17PdPt3t23Ril/6EaRoJ4RUQzFPCCEGZvK3XB2yLO2uxHH2MUvEfFRPzGvruB7PRS8SCepyCePMgZOkcxYxr0wxr/VIKuZFH7lcXK+TiHk/HS8NNTayrvXEH0JbrAO4rd9w1NmIED8nm+7qwyR+k9e3Xc88XrS0cVnxbcftWubHL9xteJbs9EWa/Q+53f5LBG5lTH7iIp+zzHeNNo7rRXE7r+AWnyDEfL5eus9LMR/ELvZ6aTxTzAOJ274ID7CJe2vuwbitrzxEyk8dAiLliePiSzSRbTo+0BH5BSKlj7PJAl/NwsPwYl73yYtrcyxY2uSv0SRbP1CM96+6PyeW9yHd/QkhTaCYJ4QsW3qOJ8+wwpIXwi/Ep2uRHSqZBK5azOf6RXkxL2PS03sOusUxki2XfyuSLuvGGuwKsZs7kCSZE30kKhHzQfGJMjInFXqGZT7dI5fZPQxjISAte6aWN2PKFfKiuyxBW1mdiRTzmmHFvKuvTZQPGu9O2mLYaRsjC32lX4Fury3yZrk876Io4kU7ufye143b+0F+2Eoxr+P9s4R7hesIy37HtPArwxMgd/E8IioASgGB+K7JL7Onl9Xbjygyp7vq0ZeTn+mEQycRwe5l9CJRbrZRmEWI2UKfDLfwLxPfg0yh2VNEUuATQuxQzBNCJoqmyeFKx3I8e8tyWxsturNzPxbZQLKGelJmscz3hCU8hBDzEbA/EdjpJYW5OBXPMsO7bKeQF91Rlt06FelSzCfH0kJetMwnQtxibi4s2ZZfEjytL0x6WC4lxXwo6mS5LeFbE8uzDZuYr2Px1tjePk3EvC0BXp1++rjaMj8Z1valxgwfGJbs/12PW/fvXNPdH34ydomYtz6emR9ULd6B7K49Ue4hN2mQxu4b7vyqk6hxmZBPjC1ffo24eg9Ax3P9LTzrYRM6sp/O8C98ptwZFTpQnhbs0nrfgRLTrDZxbsb2F7P1W+90gLASinZCSDMmVsz/+Mc/xpYtW/DII4+g3+/jqKOOwgUXXIB3v/vdS31rhJAxUyXwc3HhorxnWqJF++zYE5ZyH6FK4shVvn1sMY/b94I4aVxksWiroAvAy4S1tpCHSVI4hczilfP9ToR+0CkKaVewtd4MgS3XQY8A99OtynWvhTkvYArWvlFvHksxL69tE69l8fF1xXzfci+jEPO2NnXi+8k0oBVj1TdR6kNe0cw3kt/ZhK+8Vh/x45rxjipY5oFUzKeWeSnKXZb5bjEOX2bhl4nrzK8824oAyssJbl/UyZh8x9dzNR6yP7UcV2WfWetnV4WAt69QH3edTTLyF8V80YrfybWxH3egCln9ba+leK1IFT0EmvypaMUnZGUxkWL+vvvuw0c+8hHMzMzgrLPOwoEHHog777wTn/zkJ7F792589KMfXepbJIRMCOma5hYxr93YTVFvLteWZX73E8u7b1jVfezrdRFGHqIoFtxxhnav4Letgm4s1pMl1+Jl2eJl11QfuafISCvhCIiSewxCZGugp26uSIU3si6FY5fl1yUtbDHcLlzXMMV8WXI508XddH933Z+NOkK5A7uYH4Ym/ZuKebrhTwYeIvtnpjLev0yc5y4AoFch5s3Hs0HFvBb0KBHzhnjULvu2+/NmjLY2MZ931/fgpWNqYe8pH54lrl/VSOQ3E3WKE5hA5aykUvkmchGASPUQqV5ynA8NUKkw11SL+VhQz9aImS/G8Xe8WQRRfiKgWT6BOvkC3HAygJDpYuLEfBAEuPzyy+F5Hr7xjW/g1a9+NQDgkksuwfvf/35s2bIF73znO7Fhw4alvVFCViiVVvIhXX9t45ddM8w5WOav33OKeRFzKfrocXrwUiu8bt+PPCgdpx55ybroQsyHyZg9PxPzQOwar63qIfJPk4kSViqLOVVR9tBpPptKT3ct0mUcujT0S3f3MtfwumLeJdKHEax1vALqinlbuy589Iya8Yp5usGvSGol+atql6/zESGyfdoKYrqhmAdQSNVYEPMWcWdet7AcnzERoDqA6qafCC/N5G+48kfVj6UqEp4Esn2ZWd6BnjBVCulSmGnOj3S4AFCB0a/6OP7Te5Y2eWGet+Z34Huz8L3ZeBUD0c5+XKQs+Z8qzQug2+bbFMfLT2ZQ/BOytEycmL/33nvx+OOP49xzz02FPACsWbMGH/vYx/CJT3wC27Ztw7/5N/9mCe+SEDttxnuPg9ySaABWwcM+iwCRseGhY5+2DTwU1jN3ZHiX9xFGZW7xZnt5b37OLT60LacWCnENGMdA6hYvXeMjxMnhkvZhTy+vFreN+t1MjUZeqi6jADklHkbC0o78c6YtyXtkbDZMD3sz3tx1bBunLi7RPqyYr44Lr3ddW7sZeJaM8hTYpJpB4vDbXXYv/w6Po+wtnzbP2Kc344tCLZhdMfouIa6pIeadiPuQGfoLEwp6dQxXm2wcT3Uy6386ppf1zZVLvMLfqZNOCnQM7wKjq3EeibaRMPEXrPr6pcvwApX/FcgtBwjAhwcfBzjFvM0NP3+rxQSAEexivkqIV12LELL0TJyY3759OwDgtNNOK9SdeuqpuTaETANNLNV1JgOaWr7dS6X52fJlkY9e5GG/P4Nng9mceA4jL20HZOuX9wIkAjyxZqQdvOKDkCVRXIoWw0ASUO2jEEwZInsqktnZkbQPHF9lch0zs4++fFIXJS70+p7kQ1nq8i6tK46Xo7W8jJt2iVZtrJfj1RXz5rkpkm1rmQ9jVa+zJFsdmrq81/8bFD8XXmLPJGQctJuIz7TMA16DT6ySIjo3iu3cVa6x/eboNlWPkdJFv8Y1ncv/mZMTyZZOUHjZsVPMi366j/ITB4bZYqhASdiEL/5/crXKL/UQiJSfE/MK2WSA/r0JIoVQLQBYsLyG/ORBGTlvgMh5S5Z+madApGahcAByqwB4syWWeftvfaSyVQYi1UFHeeh487Vehzl2uVcAvQTIymPixPzOnTsBAEcccUShbu3atVi3bh127do15rtaGSyVVblqmbBc2woLr9mmTMi6ysPIRy/M19sznidCuOp+Cv3cP8T6OnLJM505PYvf9tx/hxp/n2xcP4nnjmPAPUTwuoBa8MvNpyEA+EU/bvkA43imVREKS55pt/K0q+HiqNuklm7kH0iaiENXXHa69JulzoX5Z9Fju9ZIt7mUB8gcXG3tXa+tjnOu7bF/GKlBizYh04Nnc+GvTODnHM1ZUyfGPU/NvALWfmKpvCp3fGs+ApvrfzKuTALoHEMZ5xXXtiwF6Ke5Aqo8G7RF3CvkIIisXhFeHLZRGE/cS9kkgKxLVz3oI4p6AObjVy4SDzqHcZSbv+l+Fwj7xXJ9u87QBeNcGeUuTwIzlMHMIZCfIDDH6Bh7GGPoVRLcEwlNchYM06/c08L2mjn5sRyYODE/Px/P1B144IHW+jVr1uD//t//6+y/bt26kdxXFUt1XUIIIYQQQggh42epNWDTqVFCCCGEEEIIIYQsMRMn5tesWQMAePHFF6318/PzTqs9IYQQQgghhBCyEpg4Ma+XnLPFxe/duxd79uyxxtMTQgghhBBCCCErhYkT8yeddBIA4Ac/+EGh7p577gEAvOlNbxrrPRFCCCGEEEIIIZPExIn5N7/5zXjVq16Fv/7rv8aOHTvS8vn5eXzpS19Ct9vFe9/73iW8Q0IIIYQQQgghZGnxlFJ1lp0cK/feey82bdqEmZkZvOtd78KaNWtw55134sknn8THP/5xXHzxxUt9i4QQQgghhBBCyJIxkWIeAH784x/jqquuwiOPPIJ+v4+jjjoKF1xwAc4+++yRX3fLli2F67773e+uPUYURbjxxhvxl3/5l9i1axfm5uZw8skn4xOf+ESaE4CQcTDs+/mBBx7A9773PWzfvh27d+/GwsIC1q9fj3e84x246KKL8LKXvWzEr4CQmDa+myX9fh/ve9/78Nhjj+HII4/E3/zN37R8x4S4aev9PD8/j69//eu488478cQTT2BmZgavetWr8I53vAOXXnrpiO6ekIw23ssvvPAC/uIv/gLf+9738OSTT2J2dhavfOUr8d73vhcbN27EqlWrRvgKCIm57bbb8OCDD+LRRx/Fz372M/T7fXzhC1/Aueee22iccevAiRXzS8F9992Hj3zkI5iZmcFZZ52FAw88MPUI+MQnPoGPfvSjtcb5D//hP+Cb3/wmjjrqKLztbW/Ds88+i+985ztYtWoVbr75Zhx11FEjfiWEtPN+PvXUU7Fnzx688Y1vxHHHHQfP87B9+3b8r//1v3D44Yfj5ptvxstf/vIxvBqykmnru1ny53/+57juuuuwsLBAMU/GSlvv51/96le44IIL8MQTT+Atb3kLjjvuOPR6PTz++OP41a9+hW9/+9sjfiVkpdPGe/mFF17AueeeiyeeeAJvfOMb8brXvQ69Xg933XUXHn/8cZxyyin4i7/4C/j+xEUGk2XG29/+duzevRvr1q3D3Nwcdu/ePZCYH7sOVEQppVS/31enn366+o3f+A31k5/8JC1/8cUX1VlnnaVe/epXq1/+8peV4/zoRz9SxxxzjPq93/s9tbi4mJb/8Ic/VMcee6z64Ac/OIrbJyRHW+/na6+9Vj311FO5siiK1H/8j/9RHXPMMeo//af/1PatE5Kjrfey5NFHH1WvfvWr1X/9r/9VHXPMMerMM89s+a4JsdPW+zkIAvU7v/M76vjjj1c/+tGPrNchZJS09V7+6le/qo455hj1x3/8x7nyxcVF9Tu/8zvqmGOOUdu3b2/79gkpcM8996gnn3xSKRU//x5zzDHqW9/6VqMxlkIHcpor4d5778Xjjz+Od73rXXj1q1+dlq9ZswYf+9jHEAQBtm3bVjnOLbfcAgD4+Mc/jtnZ2bT8zW9+M0477TTcf//9+OUvf9n+CyBE0Nb7+Q/+4A9w2GGH5co8z8PHPvYxAMD999/f7o0TYtDWe1nT6/Xwb//tv8XrXvc6fOhDHxrFLRPipK3383e/+138wz/8Az784Q/jlFNOKdR3u91W75sQk7bey0888QQA4G1ve1uufHZ2FqeeeioA4Nlnn23xzgmx85a3vAXr168faoyl0IEU8wnbt28HAJx22mmFOv1lotuUcd9992Fubg4nnHBCoU6PTQFERk1b72cX+kGx0+kMPAYhdWj7vXz11Vdj165d+PznPw/P89q5SUJq0tb7+Tvf+Q4A4J3vfCd+/etf46abbsJXv/pV3HHHHXjppZdavGNC7LT1Xj766KMBAHfffXeuvN/v44c//CFWr16NN7zhDcPeLiFjYSl0IKduE3bu3AkAOIcgoTwAAAcUSURBVOKIIwp1a9euxbp167Br167SMRYWFvDMM8/gmGOOsYocnfRAX4uQUdHG+7mMb33rWwCyH2xCRkWb7+Uf//jH2Lp1Kz7xiU/gyCOPbPM2CalFW+/nRx99FADw4IMP4gtf+AJ6vV5ad/DBB+PKK6/EySef3M5NE2Khrffyxo0bcdttt+HrX/86Hn30UfzGb/wG+v0+7r77buzduxdf/OIX8Y//8T9u+/YJaZ2l0oG0zCfMz88DAA488EBr/Zo1a/Diiy+WjqHr16xZ4xxDXouQUdHG+9nFjh07cM011+DlL385Nm3aNPA9ElKHtt7LvV4Pn/70p3Hcccfhwx/+cKv3SEhd2no/a7fjz33uc7jgggvw93//9/jRj36Eyy+/HC+++CIuueQSPP300+3dOCEGbb2XV69ejRtuuAFnn302tm/fjq9//eu44YYbUhd+m4WTkElkqXQgxTwhpDZPPPEELrroIoRhiD/7sz/DwQcfvNS3REgtrrzySuzatQt//Md/zPAQMvWoZCGif/Ev/gU++clP4p/8k3+Cgw8+GOeffz4uvPBCvPjii7j11luX+C4Jqea5557Dv/pX/wr/83/+T3z1q1/FAw88gHvuuQef+cxnsG3bNpx33nnYu3fvUt8mIRMLxXyCni1xzSLOz887Zx81ut4146LLXTM2hLRFG+9nk927d+OCCy7Ac889h6uuusqadImQtmnjvfyTn/wE1113HT760Y/i2GOPbf0eCalLW9/Nepy3v/3thbrf/M3fBJC54hMyCtp6L//Jn/wJHn74YVx11VV429vehgMPPBCHHHIIzjvvPHzqU5/CE088geuvv77VeydkFCyVDqSYT9BxDLb4nr1792LPnj3WuCDJ3NwcDj30UDz55JMIw7BQr2Mk9LUIGRVtvJ8lTz75JM4//3w8/fTTuPLKK9OHRUJGTRvv5Z/+9KcIwxBbtmzBsccem9sA4Je//CWOPfZYnHjiia3fPyGStr6bdc6Hl73sZYU6Xba4uDjEnRJSTlvv5b//+7/HQQcdhH/2z/5ZoU4bDX7yk58Md7OEjIGl0oEU8wknnXQSAOAHP/hBoe6ee+4BALzpTW+qHOdNb3oTFhYW8NBDDxXq9Nj6WoSMirbez0As5H//938fTz/9NK644gqcfvrp7d0oIRW08V7esGED3ve+91k3IJ5Nf9/73odzzjmn3ZsnxKCt72Ytcn7xi18U6nTZsEssEVJGW+/lXq+H+fn5XBJHzXPPPQcAuSW+CJlklkIHUswnvPnNb8arXvUq/PVf/zV27NiRls/Pz+NLX/oSut0u3vve96blzz33HP73//7f6ReN5rzzzgMQx2fKL6Yf/ehH+MEPfoCTTjqJWZTJyGnr/ayF/FNPPYU/+7M/w2/91m+N7TUQArTzXj7hhBPw+c9/3roBwCGHHILPf/7zuPzyy8f3wsiKpK3v5nPPPRezs7P4b//tv+Gpp57KjXPttdcCAP7lv/yXI341ZCXT1nv5hBNOQBAE+NKXvpQr7/V6aRlXZiCTxiTpQE/pLCoE9957LzZt2oSZmRm8613vwpo1a3DnnXfiySefxMc//nFcfPHFadstW7bg6quvxqWXXorLLrssN87ll1+OW265BUcddRTe9ra34dlnn8V3vvMdrFq1CjfffDOOOuqocb80sgJp4/389re/Hbt378brX/9661qyAArvf0Lapq3vZhvHHnssjjzySPzN3/zNKF8CISltvZ9vuOEGfO5zn8NBBx2E3/qt38Ls7Cz+7u/+Drt378bv/u7v4o/+6I/G/dLICqON9/KOHTvwwQ9+EC+99BKOP/54nHDCCVhcXMQPfvADPPHEE3jNa16Dm266CatWrVqKl0hWELfccgsefPBBAMDPfvYz/OQnP8EJJ5yQhoucfvrpqXfqJOlArjMvOOWUU3DjjTfiqquuwh133IF+v4+jjjoK//pf/2ucffbZtcf5oz/6Ixx77LH4y7/8S9xwww2Ym5vDb/7mb3JtYzJW2ng/7969GwDwyCOP4JFHHrG2oZgno6at72ZCJoG23s/nn38+1q9fj6997Wu4/fbbEYYhjjrqKHz0ox9NrUOEjJI23svHHXcctm3bhmuvvRb33nsvvvGNb6DT6eDwww/HZZddho985CMU8mQsPPjgg/irv/qrXNlDDz2UusyvX7++VqjpuHUgLfOEEEIIIYQQQsiUwZh5QgghhBBCCCFkyqCYJ4QQQgghhBBCpgyKeUIIIYQQQgghZMqgmCeEEEIIIYQQQqYMinlCCCGEEEIIIWTKoJgnhBBCCCGEEEKmDIp5QgghhBBCCCFkyqCYJ4QQQgghhBBCpgyKeUIIIYQQQgghZMqgmCeEEEIIIYQQQqYMinlCCCGEEEIIIWTKoJgnhBBCCCGEEEKmjP8Pp6M8CXw5EUQAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -6814,7 +3813,7 @@
     }
    ],
    "source": [
-    "compare_prop_dists(idata_treatment_2s_nhefs, idata_nhefs)"
+    "compare_propensity_dists(idata_treatment_2s_nhefs, idata_nhefs)"
    ]
   },
   {
@@ -6828,8 +3827,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
+   "execution_count": 36,
+   "metadata": {
+    "tags": [
+     "hide-output"
+    ]
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -6838,7 +3841,7 @@
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std]\n",
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 26 seconds.\n",
       "Sampling: [beta_std, t_pred]\n",
       "Sampling: [t_pred]\n"
      ]
@@ -6846,10 +3849,10 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x17ee6d400>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x286ef6cf0>"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6870,7 +3873,7 @@
     "        sample_kwargs={\n",
     "            \"chains\": 4,\n",
     "            \"tune\": 2000,\n",
-    "            \"draws\": 2000,\n",
+    "            \"draws\": 10000,\n",
     "            \"target_accept\": 0.95,\n",
     "            \"random_seed\": 18,\n",
     "            \"progressbar\": False,\n",
@@ -6893,7 +3896,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
@@ -6930,8 +3933,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
+   "execution_count": 38,
+   "metadata": {
+    "tags": [
+     "hide-output"
+    ]
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -6943,7 +3950,7 @@
       "NUTS: [beta_std, beta_ps, a_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n",
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 21 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 39 seconds.\n"
      ]
     }
    ],
@@ -6967,7 +3974,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -7005,194 +4012,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.991</td>\n",
-       "      <td>-1.986</td>\n",
-       "      <td>1.747</td>\n",
-       "      <td>0.013</td>\n",
        "      <td>0.010</td>\n",
-       "      <td>5689.0</td>\n",
-       "      <td>5878.0</td>\n",
+       "      <td>0.993</td>\n",
+       "      <td>-1.895</td>\n",
+       "      <td>1.849</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>27328.0</td>\n",
+       "      <td>27408.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-1.986</td>\n",
+       "      <td>-1.994</td>\n",
        "      <td>0.359</td>\n",
-       "      <td>-2.639</td>\n",
-       "      <td>-1.302</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5677.0</td>\n",
-       "      <td>6092.0</td>\n",
+       "      <td>-2.659</td>\n",
+       "      <td>-1.307</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>25412.0</td>\n",
+       "      <td>29179.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>0.169</td>\n",
-       "      <td>0.192</td>\n",
-       "      <td>-0.179</td>\n",
-       "      <td>0.536</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>8778.0</td>\n",
-       "      <td>6474.0</td>\n",
+       "      <td>0.161</td>\n",
+       "      <td>0.199</td>\n",
+       "      <td>-0.203</td>\n",
+       "      <td>0.544</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>44108.0</td>\n",
+       "      <td>30957.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-0.740</td>\n",
-       "      <td>0.225</td>\n",
-       "      <td>-1.152</td>\n",
-       "      <td>-0.316</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6859.0</td>\n",
-       "      <td>6663.0</td>\n",
+       "      <td>-0.734</td>\n",
+       "      <td>0.227</td>\n",
+       "      <td>-1.163</td>\n",
+       "      <td>-0.312</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>34389.0</td>\n",
+       "      <td>32024.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.212</td>\n",
-       "      <td>0.201</td>\n",
-       "      <td>-0.182</td>\n",
-       "      <td>0.569</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>9196.0</td>\n",
-       "      <td>6073.0</td>\n",
+       "      <td>0.217</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>-0.170</td>\n",
+       "      <td>0.581</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>41447.0</td>\n",
+       "      <td>31092.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.263</td>\n",
-       "      <td>0.356</td>\n",
-       "      <td>-0.362</td>\n",
-       "      <td>0.966</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>5715.0</td>\n",
-       "      <td>5551.0</td>\n",
+       "      <td>0.264</td>\n",
+       "      <td>0.357</td>\n",
+       "      <td>-0.416</td>\n",
+       "      <td>0.929</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>25097.0</td>\n",
+       "      <td>28724.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.450</td>\n",
-       "      <td>0.205</td>\n",
-       "      <td>-1.838</td>\n",
+       "      <td>-1.447</td>\n",
+       "      <td>0.203</td>\n",
+       "      <td>-1.833</td>\n",
        "      <td>-1.073</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>9105.0</td>\n",
-       "      <td>6516.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>44624.0</td>\n",
+       "      <td>30966.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
        "      <td>-0.528</td>\n",
        "      <td>0.200</td>\n",
-       "      <td>-0.895</td>\n",
-       "      <td>-0.143</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>8340.0</td>\n",
-       "      <td>5885.0</td>\n",
+       "      <td>-0.904</td>\n",
+       "      <td>-0.150</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>38161.0</td>\n",
+       "      <td>30611.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.109</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>-0.465</td>\n",
-       "      <td>0.290</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>9194.0</td>\n",
-       "      <td>6222.0</td>\n",
+       "      <td>-0.110</td>\n",
+       "      <td>0.199</td>\n",
+       "      <td>-0.485</td>\n",
+       "      <td>0.267</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>45228.0</td>\n",
+       "      <td>30873.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
        "      <td>0.382</td>\n",
-       "      <td>0.239</td>\n",
-       "      <td>-0.082</td>\n",
-       "      <td>0.817</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>5433.0</td>\n",
-       "      <td>5315.0</td>\n",
+       "      <td>0.241</td>\n",
+       "      <td>-0.077</td>\n",
+       "      <td>0.825</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>27514.0</td>\n",
+       "      <td>28968.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
        "      <td>0.360</td>\n",
-       "      <td>0.263</td>\n",
-       "      <td>-0.138</td>\n",
-       "      <td>0.844</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>0.260</td>\n",
+       "      <td>-0.126</td>\n",
+       "      <td>0.847</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4846.0</td>\n",
-       "      <td>5824.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>25179.0</td>\n",
+       "      <td>29232.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.356</td>\n",
-       "      <td>0.214</td>\n",
-       "      <td>-0.045</td>\n",
-       "      <td>0.756</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6328.0</td>\n",
-       "      <td>6228.0</td>\n",
+       "      <td>0.353</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>-0.047</td>\n",
+       "      <td>0.766</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>31252.0</td>\n",
+       "      <td>30449.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.028</td>\n",
-       "      <td>0.226</td>\n",
-       "      <td>-0.461</td>\n",
-       "      <td>0.383</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>5967.0</td>\n",
-       "      <td>5921.0</td>\n",
+       "      <td>-0.024</td>\n",
+       "      <td>0.229</td>\n",
+       "      <td>-0.458</td>\n",
+       "      <td>0.403</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>30935.0</td>\n",
+       "      <td>30218.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.190</td>\n",
-       "      <td>0.252</td>\n",
-       "      <td>-0.284</td>\n",
-       "      <td>0.649</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6382.0</td>\n",
-       "      <td>6091.0</td>\n",
+       "      <td>0.179</td>\n",
+       "      <td>0.253</td>\n",
+       "      <td>-0.307</td>\n",
+       "      <td>0.646</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>33737.0</td>\n",
+       "      <td>31958.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.212</td>\n",
-       "      <td>0.258</td>\n",
-       "      <td>-0.275</td>\n",
-       "      <td>0.697</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>6042.0</td>\n",
-       "      <td>6339.0</td>\n",
+       "      <td>0.208</td>\n",
+       "      <td>0.261</td>\n",
+       "      <td>-0.280</td>\n",
+       "      <td>0.701</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>32414.0</td>\n",
+       "      <td>32267.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.802</td>\n",
-       "      <td>0.401</td>\n",
-       "      <td>2.042</td>\n",
-       "      <td>3.549</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>12088.0</td>\n",
-       "      <td>6152.0</td>\n",
+       "      <td>2.796</td>\n",
+       "      <td>0.404</td>\n",
+       "      <td>2.055</td>\n",
+       "      <td>3.566</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>53554.0</td>\n",
+       "      <td>29936.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -7201,43 +4208,43 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]       0.012  0.991  -1.986    1.747      0.013    0.010   \n",
-       "beta_[age]            -1.986  0.359  -2.639   -1.302      0.005    0.004   \n",
-       "beta_[race]            0.169  0.192  -0.179    0.536      0.002    0.002   \n",
-       "beta_[sex]            -0.740  0.225  -1.152   -0.316      0.003    0.002   \n",
-       "beta_[smokeintensity]  0.212  0.201  -0.182    0.569      0.002    0.002   \n",
-       "beta_[smokeyrs]        0.263  0.356  -0.362    0.966      0.005    0.004   \n",
-       "beta_[wt71]           -1.450  0.205  -1.838   -1.073      0.002    0.002   \n",
-       "beta_[active_1]       -0.528  0.200  -0.895   -0.143      0.002    0.002   \n",
-       "beta_[active_2]       -0.109  0.200  -0.465    0.290      0.002    0.002   \n",
-       "beta_[education_2]     0.382  0.239  -0.082    0.817      0.003    0.002   \n",
-       "beta_[education_3]     0.360  0.263  -0.138    0.844      0.004    0.002   \n",
-       "beta_[education_4]     0.356  0.214  -0.045    0.756      0.003    0.002   \n",
-       "beta_[education_5]    -0.028  0.226  -0.461    0.383      0.003    0.002   \n",
-       "beta_[exercise_1]      0.190  0.252  -0.284    0.649      0.003    0.002   \n",
-       "beta_[exercise_2]      0.212  0.258  -0.275    0.697      0.003    0.002   \n",
-       "beta_[trt]             2.802  0.401   2.042    3.549      0.004    0.005   \n",
+       "beta_[Intercept]       0.010  0.993  -1.895    1.849      0.006    0.005   \n",
+       "beta_[age]            -1.994  0.359  -2.659   -1.307      0.002    0.002   \n",
+       "beta_[race]            0.161  0.199  -0.203    0.544      0.001    0.001   \n",
+       "beta_[sex]            -0.734  0.227  -1.163   -0.312      0.001    0.001   \n",
+       "beta_[smokeintensity]  0.217  0.200  -0.170    0.581      0.001    0.001   \n",
+       "beta_[smokeyrs]        0.264  0.357  -0.416    0.929      0.002    0.002   \n",
+       "beta_[wt71]           -1.447  0.203  -1.833   -1.073      0.001    0.001   \n",
+       "beta_[active_1]       -0.528  0.200  -0.904   -0.150      0.001    0.001   \n",
+       "beta_[active_2]       -0.110  0.199  -0.485    0.267      0.001    0.001   \n",
+       "beta_[education_2]     0.382  0.241  -0.077    0.825      0.001    0.001   \n",
+       "beta_[education_3]     0.360  0.260  -0.126    0.847      0.002    0.001   \n",
+       "beta_[education_4]     0.353  0.216  -0.047    0.766      0.001    0.001   \n",
+       "beta_[education_5]    -0.024  0.229  -0.458    0.403      0.001    0.001   \n",
+       "beta_[exercise_1]      0.179  0.253  -0.307    0.646      0.001    0.001   \n",
+       "beta_[exercise_2]      0.208  0.261  -0.280    0.701      0.001    0.001   \n",
+       "beta_[trt]             2.796  0.404   2.055    3.566      0.002    0.002   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]         5689.0    5878.0    1.0  \n",
-       "beta_[age]               5677.0    6092.0    1.0  \n",
-       "beta_[race]              8778.0    6474.0    1.0  \n",
-       "beta_[sex]               6859.0    6663.0    1.0  \n",
-       "beta_[smokeintensity]    9196.0    6073.0    1.0  \n",
-       "beta_[smokeyrs]          5715.0    5551.0    1.0  \n",
-       "beta_[wt71]              9105.0    6516.0    1.0  \n",
-       "beta_[active_1]          8340.0    5885.0    1.0  \n",
-       "beta_[active_2]          9194.0    6222.0    1.0  \n",
-       "beta_[education_2]       5433.0    5315.0    1.0  \n",
-       "beta_[education_3]       4846.0    5824.0    1.0  \n",
-       "beta_[education_4]       6328.0    6228.0    1.0  \n",
-       "beta_[education_5]       5967.0    5921.0    1.0  \n",
-       "beta_[exercise_1]        6382.0    6091.0    1.0  \n",
-       "beta_[exercise_2]        6042.0    6339.0    1.0  \n",
-       "beta_[trt]              12088.0    6152.0    1.0  "
+       "beta_[Intercept]        27328.0   27408.0    1.0  \n",
+       "beta_[age]              25412.0   29179.0    1.0  \n",
+       "beta_[race]             44108.0   30957.0    1.0  \n",
+       "beta_[sex]              34389.0   32024.0    1.0  \n",
+       "beta_[smokeintensity]   41447.0   31092.0    1.0  \n",
+       "beta_[smokeyrs]         25097.0   28724.0    1.0  \n",
+       "beta_[wt71]             44624.0   30966.0    1.0  \n",
+       "beta_[active_1]         38161.0   30611.0    1.0  \n",
+       "beta_[active_2]         45228.0   30873.0    1.0  \n",
+       "beta_[education_2]      27514.0   28968.0    1.0  \n",
+       "beta_[education_3]      25179.0   29232.0    1.0  \n",
+       "beta_[education_4]      31252.0   30449.0    1.0  \n",
+       "beta_[education_5]      30935.0   30218.0    1.0  \n",
+       "beta_[exercise_1]       33737.0   31958.0    1.0  \n",
+       "beta_[exercise_2]       32414.0   32267.0    1.0  \n",
+       "beta_[trt]              53554.0   29936.0    1.0  "
       ]
      },
-     "execution_count": 37,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7248,12 +4255,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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DeHi42f7q16+P8uXLKx2hmVSpUgUjRoyAwWDA9u3bU53OefPmISEhAWPHjsUnn3xiVmunUaNGGDVqFAwGg1J7B5A7W9y7dy8A4OeffzYrsa1ZsyaGDx8OnU6X6rSkxYMHDwAAzZs3t2hi4+Ligo4dO6Z6+MUSJUpg/PjxSqm3JEkYMWIE8ubNi6dPn5o1UYiMjMQ///wDQL4WidNQqlQpTJ48OV2vRUxMDKZNmwZAfg4nzl8pcf/+fbi6uqJr166ws7NT5kuShOrVq6NRo0apTlNa8uaqVasQGxuLWrVqYeTIkUpa1Go1xowZg4oVK1o91us+z4mIXher2RPRG1WrVi2zQNTk4sWLCAkJQdmyZW22uWzUqBF27dqFM2fOoG3btmbL7ty5g3///Rf+/v548eKFUu0zODgYgFz92tpweSnRvn17ix+GxYoVg6OjI2JjY9GhQweLbUzn8PDhQ7P5e/bsASC38Uzcvt0kX758KFu2LE6dOoUrV65YBIJ169a1CFIBOQjcvXu3xfHSy6uGprP2nabVoUOHkJCQgEaNGlk9V5VKhQYNGuDy5cs4ffq0co327dsHAJnSRjW5oemcnZ3NPhcoUAD37t3Djh070LFjxzeRPNSrV8/iO7Kzs4NWq8Xjx4/RunVrODo6mi3PkSMHChUqhDt37uDRo0cW7aZDQ0OxdetW+Pn54fnz50qnhlFRUQDkey41EhIScOjQIdjZ2dlsy92oUSP873//w5kzZ5R5R48ehRACVatWtegfAwA6dOiA6dOnv5GA3pRfT5w4gfDw8GTbmqfUxx9/bPZSAwA0Gg28vLwQEhKChw8fKs+bs2fPIj4+Hp6enqhcubLFvqpXr45ChQrh0aNHr50uABg/fjzu37+P/Pnz44svvkj19gUKFEBAQACOHTuG2rVrp0uagNTnzWPHjgGAzXzXvn17nD592mL+6z7PiYheF4N5InqjihcvbnW+aXz6wMBAdOnSxeo6kZGRAOQ2ion99ttv+PXXX2E0Gm0e98WLF2lJLgBY7XQPANzc3BAbG2t1ea5cuQDIJVeJmUrRVq9ejW3btlndr6nk9unTpxbLbI3jbOt46SW1Q9O9DlNeuHTpks288Pz5cwDmecE03J2pje2blJqh6Xr16oXjx49jwoQJWLp0KerUqYPKlSujevXqcHNzy5D0vSrfJLf8zp07Fvnq6NGjGDlypHJPWpPae+7+/fuIj4+HRqPBgAEDrK4j/mv7nvh7N90vtp4tLi4ucHd3T7cANjkVK1ZE+fLlcenSJTRo0AC1atVC1apVUbVqVfj4+Fi8FEwJW88fUyl44u/GVDMgaQeDiWm12nS5FtOnT8f27dvh5OSEefPmpenFRa9evfD999+jb9++8PHxQa1atVC5cmVUrVrV5suxV0lL3nzVdbM1/3Wf50REr4vBPBG9UU5OTlbnm354hYaGIjQ0NNl9mEpZAODMmTOYMWMG7OzsMGbMGDRq1AgFCxaEo6MjJEnCzJkzsXDhQqWkPi1sdVxk+mFubbmtH+2mkiFTwJoca9UybV0/U8mdeIMdfWUUU14wdXaVnMR5wXRt3/Zx6xs0aIBFixZhwYIFuHTpEu7evYvly5dDrVajSZMm+Prrr9O1pgMAi1J3E1M+fdXyxPkqIiICo0ePRmRkJNq2bYuuXbuiWLFiSmeWx48fR58+fVJ9z5m+d51Oh/Pnzye7buLv3RTMml5MWJMnT543EsyrVCosXrwYc+fOxZYtW7Bv3z6lxoiHhweGDh2a4h7kTWx9N9buedO1SFobJLHklqXU77//jsWLF8Pe3h7z58+32qHhtWvX8L///c9ifv369TF48GAAQLdu3eDs7Iw//vgDV69exdWrV7F48WI4ODjgo48+whdffJGq+zmteTM2NhaA7Wtja/7rPs+JiF4Xg3kieiuYgtQ2bdpg+vTpKd5u69atAOT2v9Z6KH78+HH6JDCdmM7zjz/+sOghnGSmazR48GCMGjUqxds5OzvjxYsXyZbIvS3q16+P+vXrIzw8HGfPnsXJkyexbds27Ny5EwEBAVi7di00Gk1mJ9Oqw4cP48WLF6hYsSKmTJli8eLqVS9gbDEFTO7u7jh8+HCKtzPll+ReAppqcqSFrRdktmrBuLq6Yvz48fj6669x48YNnDlzBnv37sWpU6fw1VdfwcnJCS1atEhzepJjuhbR0dE210luWUqsXbsWU6dOhVqtxq+//mpzqMDIyEirL2WS9qbftm1btG3bFiEhIThz5gyOHTuG7du3Y+3atQgJCcHChQtTnLa05k1HR0dERUXZ/E5tXTM+z4kos7EDPCJ6K5QsWRIAcOvWrVRtZxqD21YHRbba7aalumt6MHVIlZKSnPSQWef5OtKaF0zbvU5nh29azpw50aRJE0yYMAHbtm1D9uzZce3aNVy5ckVZ5237Dk33XIUKFaymLa33XNGiRaHRaBASEmLR4V5yTMOS3bt3z+ry6OjoNL3Ue9VLgoCAgGS3lyQJ3t7e6NmzJ5YvX668bFy3bl2q05JSpmuRuFO8pF7n2fPvv/9i4sSJUKlUmDJlitLxpjXVq1fHzZs3Lf6ZxoNPKm/evGjVqhV+/PFHrFu3DiqVCgcOHDCrnv6qPJTWvPmq62brmr3p5zkRUVIM5onorVClShW4ubnhxo0bOHXqVIq3M/XwbK3k7ejRozZ/vJm2e9NVH5s1awYAWLNmjVlV4YySWef5OurXrw+NRoPDhw8r7U1TokmTJgCAv//+GwkJCSnaxtRE4k18F6+SJ08eFCpUCIB5+9q37Ts0pefZs2cWy8LCwpTe1JMyXWtb5+Ho6Ig6derAaDSmqn+GOnXqAJCb3Ny+fdti+bp169LU+Z2pH4HLly9bLLt8+XKqO/grX748gIxtO125cmU4ODjg/v37uHDhgsXyM2fOpLm5waFDhzBu3DgYjUZMnDgxQ0ZdMClZsqRSvT4190Ja86ap872NGzdaXb5hwwar89/085yIKCkG80T0VnBwcFCGcxsxYgT27NljUb3V398f06ZNw7lz55R5ph6bFy1aZNaTu5+fH77++mvlx11SiX+om9pLvglNmzZFhQoVcPfuXQwePFjpeMkkISEBBw8exFdffZUux8us83wd7u7u6NWrF3Q6Hfr162fxckcIAT8/P0ycONHsO//kk0/g4eGBW7duYdiwYRYdJZ49exZbtmwxm2e6PtZ6qs4oo0aNwsGDBy1eOOzcuRP+/v6QJMlsRIe37Ts09ci9c+dOHD9+XJn/9OlTDB8+HAaDwep2uXLlgrOzM54/f447d+5YXWfEiBGwt7fHggULsGjRIoug7enTp/jzzz+xatUqZV7RokXRuHFjCCEwbtw4s1L4U6dOYe7cuWlqslC3bl0A8ssAPz8/Zf79+/fx5ZdfWu29fMuWLZg3b55FwBwWFqa8oLA1Wkd6yJ49uzK6xhdffKF0CgkAt2/fxrhx49J0Lc6ePasM8ff555+jc+fOr53WqKgojBo1CqdOnTLrvNQ09OCLFy/g5OSEYsWKKctM98KFCxes9smQ1rzZuXNnODo64ujRo5gzZ46ynl6vx8yZM2324fCmn+dEREmxzTwRvTW6du2K4OBgLFq0CEOHDkXOnDlRuHBhGI1GBAYGKlVvE/ca3qlTJ6xatQoBAQFo2bIlihUrBp1Oh3v37qFkyZJo1aoV/vjjD4tj+fj4wNPTE/fv30eDBg1QrFgxaDQalC5dGuPHj8+wc1SpVJgzZw4GDRqE48ePo1mzZihatChy5syJ6OhoPHjwADqdzmy84teRXud57do1mz3LA3J75yVLlqRHkgHIAe/Tp0+xZcsW9OzZE3nz5kWBAgWQkJCAhw8fKm1Ye/bsqWzj4uKC+fPno3///jh48CAaNGiAEiVKQK1W49GjR4iMjES7du3Mxppv2bIlDh48iEmTJmHlypVKj9xff/212fj2r/LDDz8k2/t2z5490bJlSwDAkSNHsH37dtjb28PT0xMODg54/PgxQkJCAACffvqpWe/ymZVXbfH19UXz5s2xa9cu9OnTB0WLFoWTkxNu3boFBwcHjBkzBj/99JPFdpIkoUWLFli/fj3atWuHUqVKKVXZTYGut7c3ZsyYgc8//xy//PIL5s6di+LFiyvV701tnpP2dj9x4kTcuHEDV65cQZMmTVCqVCnExMQo1yw6OtpsOLuUqFevHmrVqoXjx4+jU6dOSjOA27dvo3LlyihdurRFD+ahoaGYPXs2Zs+eDXd3d+TLlw/x8fG4d+8edDod3N3dMWLEiFSlI7VGjx6N8+fP4/r16/jggw9QqlQpCCFw69Yt+Pj4oEKFCvj3338thrtLzvjx4xEXFwd7e3uzTv2SGjx4MOrXr5+ifRqNRmzfvl3pEb9IkSJQq9UIDAxEWFgYJEnC119/bdb5XJ06deDq6opz586hQYMGKFy4MNRqNerWrYuBAwemOW8WLFgQEydOxFdffYW5c+di5cqV8PDwwKNHj/DixQuMGTMG06ZNs7hmb/p5TkSUFIN5InqrjBkzBg0bNsSKFStw7tw53LhxA87OznB3d0fjxo3RvHlzsw6XXFxcsHLlSvzyyy84dOgQ7t27B3d3d/Tp0wdDhw61GsgD8o+w3377DTNmzMDZs2fh5+dns9QmveXLlw9r1qzBP//8g+3bt8Pf3x9BQUHIkycPypUrh1q1aimB3+tKr/OMiopKtofx9O5BXq1WY9q0aWjdujXWrl2LS5cu4fr168iRIwc8PT1RsWJFNG/e3KzUDgBKly6NrVu34o8//sD+/fvx6NEjqFQq5M+fH61bt7YoUWzbti0iIiLwzz//4MGDB0rb14iIiFSl91VtZps3b65MT5kyBYcPH8aFCxfw9OlTxMTEIH/+/GjatCl69eqFqlWrmm2bmXnVlunTp6NEiRLYvHkzgoKCkDNnTjRv3hxDhw5VXkpYM378eDg7O2Pfvn24efOm1ervTZs2xb///otly5bh6NGjuHfvHlQqFdzd3dG0aVM0adIEjRo1MtvG3d0d//zzD2bNmoV9+/bh9u3bKFiwIIYPH46BAweib9++qT5HSZIwd+5czJkzBzt27MCjR4/g7u6OgQMH4rPPPsO3335rsU3z5s2h0+lw4sQJ3Lt3D/7+/nB0dIRWq0XTpk3RrVs35MiRI9VpSQ0XFxf8/fffmDdvHnbu3Im7d+8iX7586N27N4YNG6aUEqdm6DfT95SQkJDscyA1HQ06Oztj6tSpOHbsGC5fvozAwEDodDrkz58fdevWRb9+/VC6dGmLc/v9998xe/Zs+Pn54eLFizAajfDw8FDWSWvebNeuHdzd3bFgwQJcuXIFd+/ehY+PDwYPHox8+fJh2rRpVnu1f5PPcyKipCTxLoxjRERERESv1KZNG/j7+2PTpk2pqn3yPtu1axeGDx+Oxo0bY/78+ZmdHCIiBdvMExEREb0H/Pz84O/vjxw5ciijP9CrmTrAq1SpUianhIjIHIN5IiIionfIjBkzLDqA9PPzw8iRIwEAH3/8cZo6wnuX7dq1C4cOHTJrwhIbG4upU6fi4MGDcHJywkcffZSJKSQissRq9kRERETvEC8vLwDy2O358+dHaGioMga7r68vli9fbrX99/tszpw5mDt3LhwcHFCkSBHY29vjzp07iIuLg52dHaZMmWLWeSYR0duAwTwRERHRO2Tx4sU4fPgw7t27h/DwcGg0GhQrVgwtW7ZE9+7d4ejomNlJfOtcu3YNK1aswNmzZ/Hs2TPEx8fDzc0NVapUQZ8+fVCuXLnMTiIRkQUG80RERERERERZDNvMExEREREREWUxDOaJiIiIiIiIshgG80RERERERERZDIN5Iko3jx49gpeXFxo1apTZSckUp06dgpeXF3r06GE2/32/LkTW9OjRA15eXjh16lRmJ8XChg0b4OXlhS+//DLV286ZMwdeXl6YM2dOBqTszWvUqBG8vLzw6NGjzE5KunpXzysjvM33KtH7jsE8vXdMf5QS//P19UW9evUwdOhQHD9+PLOTSG/Qs2fP4OPjAy8vL3Tu3Dmzk5MhHj16hDlz5mDDhg2ZnZQMld7nuWvXLuUZMXPmzHTZJ2VtERERmDNnDpYtW5bZSSHKspYtW4Y5c+YgIiIis5NClOUxmKf3VoECBVCpUiVUqlQJJUuWRGRkJPbs2YM+ffpg4cKFmZ28LMk0/FHhwoUzOykptm3bNuj1egDAhQsXEBAQkO7HyOzrEhgYiLlz52Ljxo2Zcvw3Jb3Pc/Pmzcr0li1bwMFf3h/Zs2dHsWLFkDdvXrP5ERERmDt3LpYvX55JKSN68woUKIBixYql25CGy5cvx9y5cxnME6UDdWYngCizfPzxxxg2bJjyOS4uDtOmTcPff/+NWbNmoVmzZihevHgmpjDrcXd3x86dOzM7GamyZcsWAECOHDkQERGBLVu2YOjQoel6jKx4Xd53YWFhOHz4MCRJgrOzM4KCgnDmzBlUq1Yts5NGb0DTpk3RtGnTzE4G0Vth6tSpmZ0EIrKBJfNE/8mWLRu++uoreHh4wGg0Yu/evZmdJMpgt2/fxtWrV5EtWzaMGzcOgHlpLL2/tm/fDp1Oh4oVK+LDDz8EwLxBREREbxcG80SJqNVqlClTBoBcZdcaPz8/jBo1CnXr1oWvry9q1aqF4cOH49q1azb3GxAQgNGjR6NGjRooX748PvroI6xatQqA7U54Es8/efIk+vfvj+rVq1t0QhMbG4tFixahffv2qFSpkrL/JUuWICEhwSItQghs2rQJ3bp1Q5UqVeDr64vatWujffv2mDp1Kh4/fmy2flhYGH7++We0aNECZcuWRYUKFdCoUSP069cPK1asMFv3VR29hYWFYerUqWjevDnKlSuHqlWrokePHjarMCfuhCohIQFz5sxB06ZNUbZsWdSvXx+TJ09GTEyMzev+KqbgrEGDBmjTpg1cXFwQEBCACxcuJLvdnj170LlzZ1SoUAHVq1fHoEGDcPnyZZvr27ouKekYz9RmO6nAwEB8++23aNy4MXx9fVGxYkU0btwYn332Gf79919lvR49eqBnz54AgNOnT5v1FZH4uF9++SW8vLywYcMGBAYGYuzYsahVqxYqVqyITp064dixY8q6N2/exLBhw1CzZk2UL18e3bp1w8WLF22eg16vx6pVq9ClSxdUqVIFZcuWRYsWLTBz5kxERUVZrJ+W7z2l55lSphobrVu3Rps2bQAAO3fuRHx8vNX1E3d+qNPpMHfuXDRv3hxly5ZF3bp18d133yE8PNxiu8R5QAiBv/76C23atEH58uVRs2ZNfP755wgKCrJ6zMR5Y9euXco9nfR5cuvWLXz++eeoV6+e8swaNmyYze8sIiIC69atw5AhQ9C0aVOUK1cOlStXRseOHbF8+XKlWYo1er0ea9euRY8ePVC9enWULVsWjRs3xrBhw5J9QXrnzh0MHz4c1atXR7ly5dC+fXts377d5vrW/PDDD/Dy8rJaBb5Fixbw8vJC165dLZZZ67DOWgd4X375JRo3bgxAvv+S9r1iTWRkJH788Uc0aNAAvr6+aNq0KebNm5fsNbQmcXpiYmIwY8YMJX8l7XAzLX+jTPe86Z5u06YNVqxYkWzTkuTOG0i+gzkhBHbs2IEBAwagZs2a8PX1RYMGDdC/f3+bfV68qfNKiWPHjmHo0KGoU6cOfH19UadOHfTo0QMrVqyw+nf34MGD6NevH6pXrw5fX180atQIkyZNQnBwsNl6L168gK+vL8qUKYNnz57ZPP6wYcMs8npISAj++usv9OvXD40aNULZsmVRtWpVdO/eHZs2bbK6n6R/g9auXYuPP/4YFStWNPtubXWAl9pnhSkfm35fNW7c2OweSrr/8PBwzJw5E61bt0aFChVQsWJFfPLJJ1i7di2MRqPF+ej1evz555/o0KEDKlasqHw3nTt3xuzZs1mtn95JrGZPlERsbCwAWG0btmzZMkyZMgVCCOTMmROlSpVCUFAQdu3ahf3792PGjBlo1qyZ2TY3btxAjx49EBERgWzZsqFEiRIIDw/HpEmTcOfOnVem599//8Wvv/6K7Nmzo0iRIsiWLZuy7MmTJ+jbty9u374NtVoNDw8PqNVq3L59G9OmTcP+/fuxdOlSs22mTp2KpUuXAgAKFiwIT09PhIWFwd/fH1evXkWlSpWQP39+APIP0U8++QQBAQHQaDQoWrQoHBwc8PjxYxw7dgyXLl1Ct27dUnRdHzx4gF69eiE4OBgajQZarRYRERE4ffo0Tp8+jWPHjmHKlCmQJMliW51Oh759++Ls2bMoWbIkPDw88ODBAyxbtgy3bt1Szic1jEYjtm7dCgBo06YNHBwc0KxZM2zYsAGbN29GxYoVrW63ePFiTJ8+HQCQN29e5MuXD6dPn0bXrl0xZMiQVKcjLR49eoQOHTogLCwMjo6OKFasGOzs7BAcHIy9e/fi0aNH+OCDDwAAWq0W4eHh8Pf3h4uLC7RarbKfpO2BTfueOnUq4uPjUaxYMQQFBeHixYsYOHAglixZAo1GgwEDBkCtVqNw4cIICAjA2bNn0bt3b6xbtw6lSpUy219UVBQGDx6MM2fOQKVSoUCBAnB2dsa9e/ewcOFC7NmzB3/99Rdy585tkZbUfO+pPc/k3L9/HxcvXoRarUbLli2RK1cuFCpUCI8ePcK+ffvQqlUrm9sKITB06FAcPHgQnp6eKFGiBG7duoWVK1fi2LFjWLVqldVzBYDvvvsOq1atQsGCBVGiRAncvn0bW7ZswdGjR7FixQqbzX4WLVqEX375BXny5IGnp6fZi8h9+/Zh5MiRSEhIQI4cOeDl5YWgoCDs3r0be/fuxXfffYdPPvnEbH8HDhzAhAkToNFokC9fPuXaXrlyBX5+fjh27BgWLFgAlcq8PODFixcYPHgwzp8/DwDw8PBAoUKFEBwcjN27d+Pq1ato0qSJRfqvXr2KOXPmQJIkeHp6Ijg4GFevXsWoUaOg0+nw0Ucf2bzeiVWtWhV//fUXzpw5o7zYAYDnz5/j3r17AOSAMC4uzuyZeObMGWX75Hh6esLX1xdXrlyBvb09fH19k10/MjISnTp1woMHD1CqVCmoVCoEBARg9uzZCA4Oxg8//JCi80osLi4O3bt3x7Vr11C8eHGULFkS9vb2yvK0/I26c+cOunbtivDwcDg4OKBkyZIICwvD999/j9u3b6c6ja+SkJCA0aNHY8+ePQDk+7N06dJ4+vQpjh49iiNHjqB9+/Zm27xN5/X9998rL7Jz5swJLy8vhIWF4ezZszh9+jTq16+PQoUKKev/8ssvWLRoEQAgf/788PDwwN27d7Fq1Sps374dv//+O8qWLQsAcHV1RZ06dXDgwAHs2LHD4kUNID9TDx06BDs7O7Rs2VKZv27dOsyaNQvZsmVT7tvQ0FCcOXMGZ86cwYULF/Ddd9/ZPK+JEydi9erVKFCgAIoXL56i/mNS+6zInTs3KlWqhCtXriAhIQG+vr5m+Td79uzK9K1bt9CvXz88efJE+f2RkJAAPz8/XLp0CUePHsWsWbPMfjOMHj0au3btAgAUKVIErq6uePbsGfz8/HDhwgU0bdoUOXLkeOV5EWUpgug90717d6HVasXs2bMtloWFhYmqVasKrVYrNm7caLbs0KFDwsvLS1SvXl3s2rXLbNnatWtFmTJlRMWKFcWTJ0+U+QaDQbRu3VpotVrRv39/ER4erizbuXOn8PX1FT4+PkKr1YqHDx+a7bNhw4ZCq9UKb29vMWfOHKHT6YQQQhiNRhEfHy8MBoPo1KmT0Gq1YtSoUSIkJETZNjg4WHTt2lVotVoxZcoUZf7z589F6dKlReXKlcXZs2fNjhcXFye2bdsmrl+/rsz7/fffhVarFX379hVhYWFm6wcGBoo//vjDbN7Dhw+FVqsVDRs2NJtvNBpF+/bthVarFd27dzdL66FDh0SFChWEVqsVK1asMNtu/fr1QqvVCh8fH9GqVStx9+5dZdmFCxdEpUqVhFarFYcOHRKpdfz4caHVakXVqlVFfHy8EEKIY8eOCa1WK6pVq6bMS+zq1avC29tbeHl5ib///lsYjUYhhBBRUVFi5MiRynfZvXv3FF0XW/MT02q1QqvVms37/vvvhVarFePGjRNRUVFmy27fvi1Wr15tNu/kyZNW05XYuHHjlGs9atQoERkZKYSQ8/CkSZOEVqsVH374oWjYsKGYPHmycn3i4+PFoEGDhFarFSNGjLDY76hRo4RWqxW9evUSAQEByvzw8HAxdOhQodVqxbBhw8y2Sev3npLzTIlff/1VaLVaMWDAAGXejBkzhFarFYMGDbK6jenYZcqUEZUqVRInTpxQlgUGBooPP/zQ6rma8kCZMmWEj4+P2LZtm7IsNDRU9O7dW2i1WtGhQwclv5mY8oaPj49Ys2aNslyn0wmdTiceP36sXKsffvhB+c4MBoNYsGCBsm3ie14IIa5fvy4OHDhgcQ8EBASIbt26Ca1WKzZs2GBxDT799FOh1WpFkyZNxMWLF82W3b9/XyxevNhsnulZ7OPjI77//nsRFxcnhJCfF9OmTRNarVbUqVNH6PV6q9c8qefPnwutViuqV69udq22b98utFqtqFu3rtBqtWbfTXx8vChXrpzw8fERsbGxynxTHhw3bpzZMVJyz86ePVs5r27duonHjx8ry/bt2ye8vb2FVqsVt2/fTtF5JU6Pt7e3aNasmdm2puuWlr9RRqNRtGvXzupzftu2bcLHx0eUKVPG6t8oa8+mxEx/w5Ju9+OPPyrfU9J7+PHjxxZ/m9/0eSVn2bJlQqvVivLly4tNmzYJg8GgLAsLCxNLly4Vz58/V+bt379fub83b96szI+MjBSfffaZkpcS571t27YJrVYrOnXqZDUNGzZsEFqtVvTu3dts/pkzZ8SJEycs7pfr16+Lli1bCq1WK06dOmW2zJSfvb29RYUKFcTevXuVZYnTZLpXT548abHvtDwrbOUNk+joaNGkSROh1WrF//73P+XvkRBC3Lp1S3zwwQdCq9WKv//+W5l/+fJlodVqRf369S3urcjISLF27VoRFBRk9XhEWRmr2RMBiImJwYULFzBkyBC8ePEChQsXtih9+/XXXyGEwI8//mhRAtCxY0f07NkT0dHRWLdunTL/2LFj8Pf3R86cOTFjxgy4uroqy5o3b46BAwdCp9MlmzbTkHlqtVyRRpIk2Nvb4+DBg7hw4QLKli2LqVOnIk+ePMo2+fPnx8yZM+Hk5ITVq1cjLi4OgFzd32g0okaNGqhcubLZcRwcHPDBBx+gdOnSyrz79+8DALp27YqcOXOarV+wYEH07t072bSbnDhxQinNmjFjhlla69Wrh88++wwAsGTJEqvVH/V6PaZMmYJixYop8ypUqICOHTsCAA4fPpyidCRmqkbdrFkzpWSgRo0ayJs3L8LDw63u848//oDBYEDz5s3RrVs3pUTA2dkZU6ZMeWNv/E3fS+/eveHs7Gy2rESJEujUqVOa950zZ078+OOPcHFxAQCoVCqMHj0aDg4OuHHjBlxdXTFu3Djlmtnb2+OLL74AABw5csRsXzdu3MC///4LDw8PzJ0716w3f1dXV0ydOhUFChTA7t27rTZryYjvPSUSV7E3MbWbP3LkCEJDQ21uq9frMWzYMNSoUUOZV7BgQfz8888AgN27d+Phw4dWt+vcubNSowIA3NzcMH36dDg4OMDPz8/mGM+dO3fGJ598ouRHtVoNtVqNlStXIioqCt7e3hg/frzynalUKgwePBj169eHTqezqNlSunRpNGjQwKzEDAAKFy6Mn376CQCUWi0mfn5+2Lt3L+zt7bF48WKUL1/ebHnRokXRv39/q+kvUaIExo8fDwcHBwDyM27EiBHImzcvnj59ips3b1rdLqlcuXKhRIkSCAsLMyt5NZW8m45v+mxKd1xcHMqVK2dWWp8e7OzsMH36dLi7uyvzGjVqpFTVT3q/pITBYMCMGTNQokQJZZ7puqXlb9TJkyeVfkOmTZtm9pz/4IMP0Llz51Q3CUjOkydPsHLlSgDA3LlzUa9ePbPl7u7uZh3Tvk3nFRcXh/nz5wMAJk2ahI8++sisdkrOnDnRp08f5MqVS5lnKpHv2rWr8gwBABcXF0ybNg1ubm4IDAzEtm3blGWNGjWCk5MTLly4YLWJgmndxM8KAKhSpQpq1KgBOzs7s/mlS5fGN998A8DyvjUxGAwYPny4kjcBpOh+SMuzIiXWr1+PgIAANG3aFBMmTFD+HgFAyZIlMX36dEiShD/++EOZ/+DBAwDyb6vE9wcgX++OHTuiQIECqU4L0duOwTy9t+bOnau006pYsSI6d+6M8+fPo06dOvjzzz/N/jgFBgbi6tWryJ07t9kfu8RMbc4S/1A0jVnfrFkzs+pjJkmrElrTtm1bq/NNVRTbtWunBPqJ5cuXD2XLlkVMTAyuXLkCAMofskuXLtlsh5uYaf29e/e+1g+6o0ePApDbrVqr8ty5c2fY29sjMDAQd+/etVju7e2tVENMzDTP2g+e5MTFxSlV8RIHbCqVSnmJY62zM1O78S5dulgsc3BwwMcff5yqdKSV6XvZtWtXug+X1rp1a4smJtmzZ1eqjbZv396iKUTx4sWRLVs2REVFISwsTJlvaiPdokULsx9jJo6OjqhZsyaEEDh79qzF8vT+3lPi7NmzePToERwdHc2qhJcoUQLe3t7Q6/VmfRIkpdFo0KFDB4v5pUuXRuXKlSGEUO6HpKw1WcmdOzeaN28OADa3s1UN3ZRfbTWFMVVFT9wfgklCQgK2bt2KCRMmoF+/fujatSu6dOmidBR548YNs/X37dsHQO4F3tPT0+rxbPn4448tquxrNBqlza61lx+2mKrKJ34OnzlzBq6urujYsSPs7e1x+vRpZZkp372qin1a1K1bV2mylJgp/6bmvExKlSoFHx8fi/lp/RtleqHQokULsyDUxFofA6/j8OHD0Ol0qFChAqpUqfLK9d+m8zp//jzCw8ORL18+s8DclujoaKVfCmvV5R0dHZUmLonvQUdHR+Vck/YbERoaipMnT8Le3l55LiQWFRWFtWvXYty4cejbt69y35qahiW9bxNLaXOWpFL7rEiJ3bt3A4Dy4jap0qVLw8PDAw8fPlT6+THdaydOnLDaPwnRu4pt5um9VaBAASUoCgsLw/379yFJErRaLQoWLGi2rr+/PwAgPj7eaiBnWgbIJQ8mphJUW50EeXh4wMXFxWonYCZJ3zCbmEqrVq9ebfZWPzHT8Z8+fQpALvVo0aIFdu7ciWbNmqF69eqoVq0aKleujAoVKli8FGjfvj1+//13bNiwAYcPH0bdunVRuXJl1KhRI1VjppvSUbJkSavLXVxcUKBAATx48AD379+3OGdbxzL9SIuOjk5xWgA5yIyOjka+fPkshhpr06YN/vzzTxw4cAAvXrxQalNERETg+fPnAGx/J7bmp7du3bph06ZNmD9/PjZv3ow6deqgSpUqqF69ulkpYFokd63v3LmDIkWK2FweFBSEmJgYuLm5AXh53+zdu9dmp4Kml0qJ75uUpAVI/feeEqZSeVPpWGJt2rTB9evXsXnzZqs/zgH5B6W1FxeAnD/OnTun3A+JmdqE2toOgNXtEi9P6lX3nal/g2fPniEqKkpJd1BQEPr27au0M7fmxYsXZp9NL+GSlsinhK08ZepbIDWdXFatWhWrV6/GmTNnlPbSt27dQqNGjeDo6Ihy5crh0qVLSEhIgL29fYrby6fFq/JvWjrvtNVvwuv+jbKVhzw9PaFWq9OtdN7UT0xK88nbdF6mtJcrV87i5ZM1pppw9vb2NvOC6d5Mem+3adMGW7duxbZt2zBw4EBl/o4dO6DX69GkSROLAoJr165h0KBByt97a5LetyZubm5WX3q8SlqeFSlh+t5nzZqFhQsXWl3H9OL4yZMnyJ8/PypWrIjy5cvj0qVLaNCgAWrVqoWqVauiatWq8PHxsdofD9G7gME8vbeSjjN/+/ZtDBkyBEuXLkX27Nnx6aefKssiIyMByG+9TZ072ZK4t2tTZ3pJq0In5uzsnGwwb60jPlNagJd/9JJjqmYPyB3glSxZEuvWrcPRo0eV0r5cuXKhf//+6NOnj/JDxd3dHWvWrMGsWbNw8OBBbNy4ERs3bgQgV3f+8ssvbXYUl5jpR2tyPxZy586NBw8eWA3QkgZVJin5QWWNqdT9gw8+sNhH2bJl4enpifv372PHjh3o3Lmz2TkAts/DVsdm6c3b2xt///035syZg5MnT2LNmjVYs2YNJElC7dq18fXXX6f5xYKt/Gb6IWSr6qVpeeKaAqb75sGDB0oVSFus9RKf3t/7qyQkJGDHjh0AzGtsmLRu3RrTp0/H5cuXcffuXauBVXJ5wLTMWh7PmTOnzfNKbjvA9nUy5VlbaUo8Pzo6Wgnmv/zyS9y7dw/ly5fHsGHD4O3tDVdXV2g0Guj1evj4+FgEQabnUVqamtjKc6brkZraJ0lL5s+ePQshhPLSrkqVKjh79iz8/PxQoUIFnD9/Hmq1OkXPsdR6Vf5NS60aW/tM698oUx4xvYCzllY3NzeEhISkOq3WpDafvE3nldq0m+7XXLly2QwkTU3Okt7btWvXhpubG27evInbt28rQb+pVlDS55PBYMDIkSPx9OlT1K9fHwMGDEDJkiWRI0cO2NnZ4cGDB2jWrJnNlxe28tWrpOVZkRKma3316tVXrmv6faNSqbB48WLMnTsXW7Zswb59+5QaQx4eHhg6dGiKakMSZTUM5on+U7JkScycORMdO3bE/Pnz0aZNG+VtuukPXaVKlZQh5VLC9CM1uRKYtJYumtL0xx9/oFatWinezsHBAcOGDcOwYcNw584dnD17FgcOHMChQ4cwdepUAEC/fv2U9UuUKIHZs2cjISEBFy5cwJkzZ/Dvv//i4sWL6Nu3L7Zu3WrWc29yaU2urbGp1Du5Fx/p4dmzZ0qVxj/++MOszV1SmzdvVoL5xD92QkNDrTYXMJ1DSlkLgBNLLt9UqFABv//+O6Kjo3H+/HmcOnUK27Ztw9GjR9GnTx9s27Yt03vtNV2zH374wWZ1ybfJ/v37laGLXjUywebNmzFq1CiL+cnlcdMya3k8PDwcRqPRakCf3HbJcXJyQmRkJJ4/f2619DtxfjXt+8mTJzh16hQcHR2xaNEii74ykg6llXT7zB76yd3dHUWKFEFAQADu3bunVKk3BfnVqlXDwoULcfr0aWg0GsTExKB8+fIZ/tzJaGn9G2XaLnHzmMSMRuMrqywLIawGq9aeX6nNJ5l5XkmlNu2m9UNDQ21eI9Pwc0nzn1qtRvPmzZWadyNHjkRwcDDOnz8PZ2dnNGzY0Gx9Pz8/PHjwQOmfJGkbdlv37etI67MiJZycnBAREYHdu3fbrLFkjaurK8aPH4+vv/4aN27cwJkzZ7B3716cOnUKX331FZycnNCiRYs0p4vobcQ280SJ+Pr6omXLltDpdJg3b54y3/RW/O7du1bHNrXF1HbUVgdOQUFByZbKJ8dU8pqSkvnk9tGpUycsXLgQEydOBCCPM2uNvb09qlevjqFDh2Lbtm2oVKkSYmJikm0/bGK6DraGA4qKilL+8Ke2vW1qbdu2DQaDAfb29siTJ4/Nf4DcRtLUrjVHjhxKSaa1dv3JzbfF9LLHVgCYkqGBnJ2dUbduXYwdOxY7duxAkSJF8OTJE7PO4TKreqHpvnmdPJoar3uephobzs7ONvOF6Qfr1q1brb6ECQ4OtvmCzlRN11oe1+l0Nr/v5LZLzqvuu1u3bgGQSwcTV7EH5OrcSX+cA7afZabv+tKlS6lKY0YwBe5nz57F2bNnkT17dnh7ewMAKlasCI1Gg9OnTyul9ylpu23ytlbVfd2/UbaeXQ8ePLDZSWtyL2kjIyOtBtKpzSeZcV62mJqlXL58OUVpKVKkCFQqFRISEmz2j2C6N63d223atAHwsjR+27ZtEEKgSZMmFjWkTB2I+vj4WATyQNrarb9KWp8VKWH6fWN6RqWWJEnw9vZGz549sXz5cqWpQuJOEoneFQzmiZIwPfS3bt2q/IH09PRUxk/dtGlTivdVu3ZtAHJnLtaC9g0bNqQ5naZefdesWWO1inJqVahQAQCSbW9nYmdnp3TilJL169atCwDYuXOn1WqNa9asQUJCAjw8PGy2CU0vpoBt4MCBOHbsmM1/pmq3iTvCM9WAWL16tcV+ExISsH79+lSlxc3NDdmzZ0dcXJzVHy2p/eHh6OiojK+e+Hsx/fBL3NziTTB1ILdlyxabJWTp6XXOMywsTOk0a8GCBTbzxb59++Dg4IDAwECrnfbpdDr8888/FvP9/f1x9uxZpSmENaZevhMLDQ3Fzp07AcDmdrbUqVMHAJQxsZP666+/zNYDXl7D58+fW31ZsWTJEqv7Mn3Xe/fuTdFLqIxkCub37duH69evo3LlykqNBycnJ5QpUwYXL15UOihN2m9GcjLrXnqVtP6NMn33O3futHqPWsuTJqYaWZcvX7ZYZuvZVb9+fWg0Gly8eBHnzp17Zfoy47xsqVSpEtzc3PDkyROb/dQk5uzsrPwdMd1ricXFxSnXKfE9aFK5cmUULFgQAQEB8PPzU4L6pL3YAy/zpamkPzGdTofly5e/Mr2pldZnReJtbf12Mf2+Wb58ebp08mrqoyElv1eIshoG80RJlC5dGnXq1IFerzf7YzR27FhIkoTvv/8e69ats2gH9vDhQyxYsEDphRWQgz8vLy+EhYVh7NixZtXz9u7di0WLFkGj0aQpnU2bNkWFChVw9+5dDB482KJNckJCAg4ePIivvvpKmXfixAn8/PPPFiV10dHRyrkm7il55syZWLdunUW1Qn9/f6VtcZkyZV6Z1ho1aqBs2bJISEjA6NGjzar3Hj16FHPnzgUADBgwIENLvm7duoVr164BwCt7IzaViiQeVqd3795QqVTYsWMHVq1apfzIiImJwVdffZXqjn4kSVJ+xE2ZMsWsRHfjxo02Xw5MnDgR27dvV/pkMDlz5gxOnDgBwPx7Mf3ovn37drLVwNNb2bJl0bJlS4SHh6Nv377KtTcxGAw4deoUxowZg4SEhNc+3uuc5/bt26HT6VCwYMFkgzsXFxeliqu1EQ/UajXmzJlj1mP648ePlZ6dmzVrZrXKu2koOdN9BchV7z///HPEx8fD19fXbLi7lOjSpQtcXFxw/fp1/PTTT8o1NhqNWLx4MQ4ePAiNRoM+ffoo25QsWRKurq54/PgxFixYoOTx+Ph4/PDDDxbfoYmvry+aNm2K+Ph4DBgwAH5+fmbLHzx4gN9//z1V6U8rUzB/8OBBGI1Gi87tqlatitjYWBw/fhwqlcpimM7k5MqVC87Oznj+/LlSY+JtkZa/UTVr1kSZMmUQGxuLL774wuwZtn37dqxatcrqaCkAlGHlfv31V7Mg8vDhw5g3b57NUVZMoysMGzbMYoSGJ0+eKH8PMuu8bHFwcFD60pk4caJSUm7y4sULLFu2zOzZM2DAAADAqlWrzP6WREVF4YsvvkBoaCg8PDysBuiSJCmjq8yZMwfXr1+Hm5ub1Zd65cuXh1qtxvnz581eekRGRmLs2LFWg/zXldZnBfCyc8jEz8nEOnXqhMKFC+PUqVMYO3asRRAeHR2N7du3Y/Lkycq8LVu2YN68eRajnISFhSkvU1Lye4Uoq2GbeSIr+vfvj6NHj2L9+vX49NNPkTdvXtSvXx/ffPMNfvzxR0yYMAGTJ0+Gp6cnJEnC48ePlT+WkyZNUvajUqkwdepU9OjRAwcOHEC9evWUcZADAwPRo0cP7N+/H4GBgRZjw76KSqXCnDlzMGjQIBw/fhzNmjVD0aJFkTNnTkRHRyvVCBOP6R4dHY2lS5di6dKlyJUrFwoWLAi9Xo8HDx4gNjYW2bNnNwv+b926hYULF+Lbb79F4cKF4erqihcvXigvDqpXr56i4WwkScIvv/yCnj174vTp02jQoAFKlSqFqKgoZV8fffSR0j49o5iCr4oVK76yHV6rVq0wefJk3L9/HxcvXkSFChXg6+uLkSNHYsaMGZg0aRLmz5+PfPny4d69e9DpdPj0008xa9asVKVp2LBhOHToEI4ePYo6deqgWLFiePr0KUJCQjBp0iSz/GRy8eJFrF69Gmq1GkWLFlWCC1NNkg8//NAs8MuVKxdq1KiBkydPokmTJihZsiQcHByQJ08ezJw5M1XpTa0ff/wREREROHbsGNq1a4eCBQsib968iI2NRUBAgFLCaRqT+HW8znma8kabNm1e+ULpww8/xM6dO7Fz50588803yjjfgJy3nJ2d0aNHD3h6esLJyQn+/v7Q6/UoXLiwMt5zUu7u7qhXrx5GjhypjD99+/ZtxMXFIWfOnJg6dWqqX3S5u7tj6tSpGDFiBP78809s2rQJRYoUQVBQEJ4/fw6VSoVvvvkGpUuXVrbRaDQYMWIEvv/+e8yaNQsrV66Eu7s77t+/j+joaPzvf//DhAkTrB7vxx9/xLNnz3DhwgV07NgRHh4ecHNzU56PHh4eZv1xZJRChQqhYMGCSjXgpC9nqlWrhiVLlkAIgTJlylgdNtQWSZLQokULrF+/Hu3atUOpUqWU6ubWSl/fpLT8jZIkCVOnTkX37t1x+PBh1KtXDyVLllT+RnXt2hWHDh1Sni2J9evXD5s3b8b169fRsGFDlChRAhEREQgMDMTAgQPx77//Wt1uzJgxePjwIfbt24d+/fohX758cHd3R0hICJ48eQIhBIYOHZpp55WcHj164O7du1i1ahXGjBmDH374AYUKFUJoaCgeP34Mg8GAJk2aKJ2kNmzYEAMHDsSiRYswduxY/PLLL8idOzfu3r2LmJgYuLq64tdff7XZsWibNm2wZMkSpdlUixYtrL6EyJs3L3r27ImlS5di3LhxmDVrFtzc3HDnzh0YDAaMHz/e6t+S1/E6z4qWLVvi4MGDmDRpElauXKlU0//666/h7e0NZ2dn/Pbbbxg4cCC2bduG7du3o1ixYnBxccGLFy/w8OFDGAwGs1ERQkNDMXv2bMyePRvu7u7Ily8f4uPjlb/P7u7uGDFiRLpeA6K3AUvmiayoWbMmfH19ER8fb9ZBmmlIsI4dOyJXrly4ffs2Hjx4ADc3N7Ru3RqzZs2yGBe+dOnSWL9+PT744AM4ODjg1q1bcHZ2xrfffosJEyYonQSlpQOmfPnyYc2aNZg4cSKqVq2K8PBwXLt2DdHR0ShXrhyGDRtmVr2ucuXKmDBhAho2bAgnJyfcuXMHgYGBKFKkCPr3748dO3aYlcwPGTIEAwcOVMarv379OuLi4lCtWjX8/PPPWLp0aYpLN4oWLYqNGzeib9++KFiwIG7duoXnz5+jatWqmDp1Kn7++ecMLZU3Go1KyYip1D05bm5uSql54hLYQYMGYfbs2ShfvjwiIiLw8OFDVKlSBStXrkxVCZ9JiRIlsGLFCtStWxeSJOHevXsoVKgQFi5caHMopq+++go9e/ZUan1cv34dgFxVc8GCBUpHhon98ssvaN++PVxcXHD16lWcPn36jbRvdnZ2xpIlSzB9+nTUqVMHsbGxuHbtGsLCwuDl5YUBAwZg3bp1ZgHx60jLed6/f19ZJyXjR9erVw85c+ZEZGQk9u/fb7ZMkiTMnTsXw4YNgxACt2/fhpubG7p06YK1a9da7TjRZOLEiRg/fjycnZ1x69YtODo6ok2bNtiwYUOaRydo3LgxNmzYgDZt2sDe3h43btyAEAJNmzbFypUr0alTJ4ttunXrhmnTpsHb2xvh4eEICAiAr68vFi1alGxHhq6urvjrr7/w7bffolKlSoiIiMCtW7eQLVs2NG/e3OaLjIxgagdvqlafWOXKlZWXp6lpL28yfvx49OzZE3ny5MHNmzdx+vRpmyWMb1pa/kaVKlUK//zzD1q3bo1s2bIpf6O++eYbfPvttzaPlStXLqxatQotWrSAo6Mj7t27B1dXV0yePBljxoyxuZ29vT3mzZuH6dOno2bNmkhISMCNGzegUqlQv359/Pzzz5l6XsmRJAmTJk3CokWL0LBhQ0iShBs3bkCv16Nq1aqYOHEi8uXLZ7bNmDFjsHDhQtSuXRsxMTG4efMm3Nzc0LlzZ2zevBnlypWzebzSpUubDS1pbZQNky+++AJff/01ihcvjpCQEAQFBaFmzZrK35eMkNZnRdu2bTF+/Hh4eXkhICBAuYcS1wIsUaIENm/ejDFjxqBs2bJ48uQJrl+/Dp1Oh6pVq2LcuHGYMWOGsn7z5s0xduxY1K5dG3Z2dvD398fTp0+h1WoxcuRIbNu2zWLYYaJ3gSTSozEKEaVJWFgYatSogRw5ciidMdG75+HDh2jSpAmKFCmCPXv2ZHZyKAOcOnUKPXv2RLVq1VJVQvvo0SM0btwYHh4eFi8GiIiIiJLDknmiTGTqAC8jxjimt4eptCGzh4ojIiIioncHg3miDHbz5k2sWbPGrHMzIQQ2b96stK/O6LbilLlMHTMlbptMRERERPQ62AEeUQYLDw/Ht99+i++++w4FCxZEzpw58fDhQ4SHhwOQe21t1KhR5iaSMsTChQuxYcMGPHjwACqVCp988klmJ4mIiIiI3hEpDuYzaoxgU+/YREm9K3kjT5486N69O06fPo0nT54gKCgIzs7OqFKlCj766CM0bdr0jYzB/a7JCvnj5s2bCAoKglarRb9+/VCkSBF+129AZuSNyMhIAPKYzqn5jk3pNBgMzBtvSFZ4dlDmYN6g5DB/kC0ZlTfc3NxeuU6KO8DLqB8Zbm5u/AFDVjFvUHKYP8gW5g1KDvMH2cK8Qclh/iBbMipvpCSYZ5t5IiIiIiIioiyGwTwRERERERFRFsNgnoiIiIiIiCiLYTBPRERERERElMUwmCciIiIiIiLKYhjMExEREREREWUxDOaJiIiIiIiIshgG80RERERERERZDIN5IiIiIiIioiyGwTwRERERERFRFsNgnoiIiIiIiCiLYTBPRERERERElMUwmCciIiIiIiLKYhjMExEREREREWUxDOaJiIiIiIiIshh1ZieAiIiI3l4REQKX/ICb/gJPnwLRMYCdHeCWEyhcWEJZX0BbCpAkKbOTSkRE9F5hME9ERERmEhIEDhwEdu4WOHceMBptrSkAAHnyAM2aCnz4gYRChRjUExERvQkM5omIiAiAHMRv3AysWiPw7Jn5MkkCcrkB2bMDej3w7DkQFycve/YMWLkKWLVaoFlTgX59JBQswKCeiIgoIzGYJyIiIhw9JjB7nkBQ0Mt5rjmAxo2AOrUl+PoATk4vA3Qh5HVPngL27he4fAUQAti1GzhwQKB3L6BrZ0CtZlBPRESUERjMExERvcciIgRmzhbYs/flvEKFgO5dJTRrAtjbWw/GJUmChwfwcXvg4/YS7twVWLpM4NBhIEEHLFoicPAQMOkboEgRBvRERETpjb3ZExERvaeuXBXo3f9lIO/iDIwcLuHvZRJat5JsBvLWlCgu4cfvVZg3W4JnUXme/y2g70CB3XtEBqSeiIjo/cZgnoiI6D1jNAqsXC3w2XC5h3oAqFkD+GuZhA7tpdeqGl++nISliyV07Sx/josDvv9RYNESI4xGBvVERETphdXsiYiI3iNRUQLf/yhw/IT8Wa0GPhsioUP79Btezt5ewqeDJVSuJDDxe4GoKGD530DAQ4EJXwHZsrHaPRER0etiyTwREdF74tEjgUGfvgzkC+QHFsyV0PFjKUPGia9eTcKi+RIKFZI/HzwEfDZcICycJfRERESvi8E8ERHRe+DCRYGBnwo8CJA/16oJLF0swbt0xpaSFykiB/SVKsqfb/oDQ4cLhIQwoCciInodDOaJiIjecdv+FRg5RiAiQv7ctTMw+QcJ2bO/meruOXJImDFNQvNm8ucHAcCnwwUCgxjQExERpRWDeSIioneUwSAwd74RU6YJGAxy+/ivxkn4dLAKdnZvtt26Wi1h/JcS2n4kfw4Olqvc33/AgJ6IiCgtGMwTERG9gyIiBb74SmD1Wvmzaw5g1gwJH7TMvM7nVCoJY0ZK6NpF/vzsGTB8pMC9+wzoiYiIUovBPBER0Tvm7j2BgYMFTp2WP3t6AosWSihfLvN7kZckCUMGSujfV05LaBgwYhQDeiIiotRiME9ERPQOOXxE7rH+UaD8uU5t4Ld5EjwKZn4gbyJJEnr3lDCgHwN6IiKitGIwT0RE9A7Q6QTmzDPi628EYmPleX16AT/9T4Kz89sTyCfWqwcDeiIiorRiME9ERJTFBQcLfDpcYM06+bOTkxzE9+ujgkr1dgbyJgzoiYiI0obBPBERURZ2+IhAnwEC16/Ln7WlgKWLJNSr+3YH8Yn16mHZhj4ggAE9ERFRchjMExERZUHx8QK/zpGr1UdFyfPatwUWzJVQqFDWCeRNevc0D+iHjxYIDGRAT0REZAuDeSIioizmylWBvgME/lkvf3Z2Bv43ScLokSo4OGS9QN6kd08JfXrJ08+eyQH948cM6ImIiKxhME9ERJRFxMcLzJ1vxJChAg8C5HmlveRq9Q0bZN0gPrG+vSV0+28c+idP5IA+JIQBPRERUVIM5omIiLKAy1cEevcXWL0WEALQaIBBAyQsnCfBw+PdCOQBedi6wQMlfNJB/hwUJAf0z58zoCciIkqMwTwREdFbLC5OYM58Iz4dJvDwoTzPuzTw+yIJPbpJUKvfnUDeRJIkDPtMQtuP5M8PHwIjxwiEhTOgJyIiMmEwT0RE9Ja65CeXxq9JVBo/eKCEBXMlFC/27gXxiUmShNEjJHzQSv587z4weqxARAQDeiIiIoDBPBER0VsnLk5g9lwjho4QePRInuftDSxdLKF713ezNN4alUrCF2MkNGsif751GxjzhUBMDAN6IiIiBvNERERvkUt+Ar37Caz9Ry6Nt9cAQwZJWDBHQjHP9yOIT8zOTsLXX0po2ED+fP0G8PU3AjodA3oiInq/MZgnIiJ6C+h0AgsX/VcaHyjPK+MNLF0ioVuX96c03hq1WsLECRJqVJc/nz0H/DBZwGhkQE9ERO8vBvNERESZ7O49gYFDBP5e+bI0/tPBctt4z6LvbxCfmFot4X+TJJTxlj/v2w/MnicgBAN6IiJ6PzGYJyIiykTb/hXoP0jg1m35c8kSwJLfJHTtLMHOjoF8Yo6OEqZNkVC0iPz5n/XAytWZmyYiIqLMwmCeiIgoE8THC0yZasSUaQIJCYAkAV27AIsWSChenEG8La6uEn6ZJiFvHvnzwkUCh4+wdJ6IiN4/DOaJiIjesOBggU+HCWzbLn92cwN+/UXCp4NUsLdnIP8q+d0lTPtZgqOj3Czh+x8F/G8xoCciovcLg3kiIqI36Np1gQFDBG76y599fYCliyRUrsQgPjVKlpAw8RsJkgTExQHjvhJ49owBPRERvT8YzBMREb0hx08IDB8lEB4uf/64HTDnVwl58zKQT4s6tSR8NkS+diHPgHFfC8THM6AnIqL3A4N5IiKiN2DrNoGvxgvExcnt40ePlDBqhAoaDQP519GpI9DmA3n6pj8way6DeSIiej8wmCciIspgK1cL/DxdwGAE7O2BH7+X0L4tg/j0IEkSRo+U4Osjf96yFdi1mwE9ERG9+xjMExERZaCVqwXmL5SDyxw5gFkzJNSry0A+PWk0Er6bKME1h/x52gyBe/cZ0BMR0buNwTwREVEGSRzI53QF5v4qoawvA/mM4J5Pwjfj5WsbFwd8M1EgNpYBPRERvbsYzBMREWWAVWvMA/nZMzl+fEarUV1Cz+7y9P0HwMzZDOaJiOjdxWCeiIgone3YKTBvwctAfhYD+Temb28JFcrL09t3AEePMaAnIqJ3E4N5IiKidHT6jMCUaXIA6eIC/DpDQgkG8m+MWi1Xt3d2lj//PF0gLJwBPRERvXsYzBMREaWTm/4C478VMBgAjQaY8qOEkiUYyL9p7vkkjBwuX/ewMGD6DAEhGNATEdG7hcE8ERFROggOFvjiS4HYWHkc+W/GS6hQnoF8ZmnRDKhXV54+dBjYvSdz00NERJTeGMwTERG9prg4ga8mCDwPlT8P+1RCowYM5DOTJEn4fIyEnDnlzzNnCTx7xtJ5IiJ6dzCYJyIieg1CCEyeKnD7jvy5w8fAJx0ZyL8N3HJK+GKM/F1ERQO/snd7IiJ6h6gzOwFERERZ2eq1wL798nTFCsDQIQzkU+PFixc4cuQIzpw5g5s3b+Lx48cwGAzImTMnvL290apVKzRo0CDN+69XV0LDBkbs27cf+/buQLVqtxAdHQa1Wo18+fKhfPny+Pjjj1G6dOn0OykiIqI3gME8ERFRGp05K7DgN7m0190d+H6SBLWawXxqtGrVCgaDQfns4OAAtVqNkJAQhISE4PDhw6hZsyYmT56MbNmypXr/8fHxCHv2FYy64wCAFy8AR0cn6PU6BAQEICAgAP/++y8+++wzdOvWLd3Oi4iIKKOxmj0REVEaPH0qMOl7AaMRsLcHfvqfBLecDORTy2AwoGzZsvjyyy+xYcMGHDp0CAcOHMCGDRvQpk0bAMCJEycwefLkNO1/2bJlOHtWDuQlu/awc9iMdh/vxaFDh7Bs2TKUL18eRqMRc+fOxbVr19LtvIiIiDIag3kiIqJU0usFvvtB4EWE/PmLsRK8tAzk02LevHlYvHgx2rZti4IFCyrzCxYsiPHjx6Ndu3YAgF27duHx48ep3v/OnTsBAJUqVUKFimMhSXnxzwbA/5aE0qVL45dffoGTkxOEEDhw4ED6nBQREdEbwGr2RERESQwZMgQXLlxAv3790LdvX6xduxY7duzAw4cPkS1bNuRw9cWjoP6QVKXQ5gOgQb14LF26Env37kVQUBDs7e1RtWpVDBkyBIUKFbJ6DIPBgB07dmDPnj3w9/dHZGQkXFxc4OXlhdatW6NJkyaQJMsXBGFhYTh+/DiOHz+Oe/fu4enTp9DpdMiVKxfKly+PTz75BGXKlLF6zMWLF+P3339HxYoVsWDBApw5cwarVq3CtWvXEBMTgwIFCqBp06bo0aMHHBwc0vWa2lK5cuVkl7dp0wYbN24EANy4cQP58+dP1f6fP38OAChdujRat5HQd4CAXg9M+0Vg0QLAxcUFhQsXxs2bNxEXF5e2kyAiIsoEDOaJiIhs0Ov1GDVqFE6fPg2NRgO1Wo2wsDCEhR0BcA6Fis5B754eGDhwOPz9/ZUAOCIiAvv27cP58+fxxx9/WASgz58/xxdffIGrV68q81xcXBAeHo5Tp07h1KlT2L17N3766SdoNBqzbefMmYPt27crn52cnGAwGBAcHIzg4GDs3r0bo0ePRocOHZI9t7///hvz5s1Tjq3T6fDgwQMsWbIEFy5cwOzZs2FnZ/c6ly9d2NvbK9NGozHV23t4eODevXu4efMmhg+X0KdXNiz+PRY3/YF/dwCNG0bj4cOHAABvb+90SzcREVFGYzV7IiIiGzZs2ICbN2/ip59++q8d9z7kzvc7IBUEEANHh18xY8ZkREZGYtasWThw4AAOHDiAOXPmwM3NDWFhYVi4cKHZPnU6HT7//HNcvXoVXl5emDFjBg4ePIi9e/fiwIED+Pbbb+Hm5oYjR44owXZiBQsWRO/evfHnn39i37592L9/P44cOYK1a9eiffv2MBqNmDlzJvz9/W2e1+3btzF//nx0794d27dvx549e7B3717069cPAHDu3DmzFwaZ6cKFC8p0iRIlUr296aXGuXPn8Msvv6DthxHIl1ceUnD+/BsYNWosYmJiULZsWTRv3jzd0k1ERJTRJCFEigZdDQsLy5AEmH7sECXFvEHJYf4gW9Ijb5iq2QPAwoULUaFCBQghMP5bgcNHAKPhLIy64QDk3tf//vtvFC5c2GwfW7duxY8//ggHBwfs27cParVcGe6ff/7B9OnTUbx4cSxevBjOzs4Wx79x4wb69OkDtVqNzZs3I1euXClO+88//4yNGzfiww8/xNdff222zFTNHgB69+6NwYMHW2w/cuRInDx5ElWrVsWcOXPMlp07dw6fffZZitOS1IQJE9C6desUrx8VFYUuXbogJCQEFSpUsHgxkhJCCCxatAjLly9Xes23t3dCQoIOgA7ZHPOg0ycfoG/fvm+saQG9nfh3hZLD/EG2ZFTecHNze+U6LJknIiKyoXz58qhQoQIAYM9e4PAReX79+hWV6t8NGza0COQBoHr16gDkodFM1bgBYMuWLQCA9u3bWw3kAbl9d/HixaHT6XDu3LlUpblu3boAgEuXLtlcR6PRoEePHlaXmcZ0v337ttXtcuXKleZ/qQmWjUYjJk6ciJCQENjb22PMmDEp3jYxSZIwcOBATJgwAU5OTgCAhIQYADoAQFxsPIKCothenoiIshy2mSciIrLB1IY6JERgxiy5IlvOnMAXY9XoeckVISEhNttZJy5Nj4iQu72Pjo5WguRFixZh6dKlNo9t2sZaD+537tzBxo0bcenSJQQFBSE2NtaiPfnTp09t7rtYsWI2XyTky5fP7PiJlStX7o1Vv//ll19w7NgxAMDnn3+OUqVKpWk/4eHh+Prrr3H+/HlUq1YNI0eORL58+XDTPw4jRl6GXjcfe/asx/Xrp7BgwQLkzZs3PU+DiIgowzCYJyIissHZ2RlCCPw8XSAqSp73+Wh5PHlT53C2gmJTtXpA7kgPkDu+MwXd1oJla5KWGK9fvx4zZsxQqowDcgd2Go0GkiRBr9cjIiICsbGxyZ6XLabS88T7f9NmzZqF9evXAwBGjx6tjDefFt999x3Onz+PihUrYtasWciVKxfCwsJQuZILOnSsj3X/lIUhvhsePXqE+fPnY+LEiel1GkRERBmKwTwREVEy/t0OnDwlTzdrAtSvl/bx5BOXni9ZsgS+vr6p2v7+/ftKIF+/fn306NEDWq3WrMf3M2fOYNiwYWlOY2abM2cOVq1aBUBuv//JJ5+keV/37t3DiRMnAABdu3a1GOqvX28Je/flwvOQFhCGNUoHhNaGBCQiInrbMJgnIiKyISoKmD1Prl6fOzcwcsTrBXmJq97fuXMn1cH8/v37YTAYULRoUfz0009Wh4579uzZa6UxOX5+fvjyyy/TvP2oUaPQtGlTm8vnzJmDFStWAABGjBiBzp07p/lYgBzMmxQqVMhiefbsEgYPAH6aXAQCci2I0NBQ5M6d+7WOS0RE9CYwmCciIrLh6DGBmBh5+svPJeTI/nrBfI4cOVCsWDHcu3cPe/bswUcffZSq7Z88eQIAKFWqlM0x4M+cOfNaaUyOTqdDaGhomrePj4+3uWz27NlYuXIlAGD48OHo0qVLmo9jolK97Oc3ODgYxYoVs1inVUtg0eJQPP2va4LwcEcwlicioqyAwTwREZENQcGAnQZo3QqoWSN9ql63bdsWM2fOxNmzZ7Fnz55kS6pfvHgBV1dX5bOLiwsA4O7duxBCWFQHv3HjBvbs2ZMu6bSmcuXKOHnyZLrvN3EgP2LEiHQJ5AHAy8tLmd6wYQNq1aplsU58fByEYaf8QSqJpX9mw4/fp8vhiYiIMhSHpiMiIkoiIeHltLs7MOyz9GtD3a5dO/j4+AAAJk2ahIULFyol7oBc1fvcuXOYPn06OnToYLZtzZo1AcjB/M8//4zw8HAAcon3zp07MWLECGX4taxi7ty5SiA/cuTIVAfyixcvRo0aNVCjRg0EBQWZLStQoADq1KkDADh69CgmTZqEgIAACCGg1+vh5+eHTz/9FCEhgQAAlboLDh0Gzl8Q6XBmREREGYsl80RERIkIIfDo0cvPX34uwdk5/YJ5e3t7/PLLL5gwYQLOnj2LZcuWYdmyZXB2doZKpUJUVBSEkIPJpFXpq1SpgubNm2PXrl3YtGkTNm3ahOzZsyMmJgYGgwGFChXCwIED8e2336ZbejPS48eP8ffffwOQq8QvX74cy5cvt7l+t27d0K1bt1QdY8KECRg5ciRu3LiBnTt3YufOnciWLRt0Op1Zj/3t2nXF7v0tER8PzJknsOQ3wM6OHeEREdHbi8E8ERFRIgcOAS/+GzWuZAmgapX0D+hy5syJOXPm4MiRI9i5cyeuXr2KsLAwAEDevHlRokQJ1K5dG/Xq1bPYduLEifD19cXWrVvx4MEDGAwGeHp6on79+ujWrRtu3LiR7unNKIl79zcaja9sjx9j6sAgFXLmzIklS5Zg+/bt2L9/P27fvo3w8HCo1Wrkz58fZcuWRdu2bVGhQgXkdRdYukzg1m1gx06g9QepPhwREdEbIwnT6/9XMP3ISG9ubm4Ztm/K2pg3KDnMH2TL6+SNyEiB7r0EnocCrjmAv5fLY8rTuyO5/BEbK9C1h0DIMyCXG7B6hQQnJ37/7wv+XaHkMH+QLRmVN9zc3F65DtvMExER/WfhIjmQB4ChnzGQf984OkoYPFD+zkPDgL9WsO08ERG9vRjMExERAfC7LLB5qzxduRLQolnmpocyR9MmgLe3PL1mLRAUzICeiIjeTgzmiYjovafXC/zyqxy02WuAsaMli2Hf6P2gUkkYMVT+7hN0wILfGMwTEdHbicE8ERG99zZtAe7ckae7d5NQuBAD+feZr4+EJo3l6QMHgUt+DOiJiOjtw2CeiIjea6GhAot/l4O1ggWBbqkb5pzeUYMHSrC3l6dnzRUwGhnQExHR24XBPBERvdcW/CYQHS1PjxgqwcGBpfIE5HeX0KWTPO3vD+zclbnpISIiSorBPBERvbf8Lgvs+C9Iq1UTqF2LgTy91K2LhNy55enfFgvExLB0noiI3h4M5omI6L1kMAjMnPWy07sRwxjIkzknJwmDB8j54nko8PdKBvNERPT2YDBPRETvpe07gFu35eluXQGPggzmyVLzZoCXVp5evRZ4/JgBPRERvR0YzBMR0XsnJuZlp3d58wBdOzOQJ+tUKgnDTUPVJXCoOiIienswmCciovfOXysFQsPk6UEDJTg6Mpgn28qXk9CwgTy97wBw5SoDeiIiynwM5omI6L3y+LHAmjXydGkvoFmTzE0PZQ1DBknQaOTpeQsEhGBAT0REmYvBPBERvVcWLBJI0MnTwz6ToFKxVJ5erWABCR3ay9OXrwCHDmdueoiIiBjMExHRe+PKVYF9++Xphg3k6tNEKdWju4QcOeTpBb8J6HQsnScioszDYJ6IiN4LQgjMnisHXxqNXG2aKDVyZJfQu6ecbwKDgI2bMjc9RET0fmMwT0RE74W9+4Fr1+Xpjh3katNEqdXuI6CQhzz9x3KBiAiWzhMRUeZgME9ERO+8+HiBhYvkoCtnTqBXdwbylDYajaTU6oiMBP78m8E8ERFlDgbzRET0zvtnA/DkiTzdv68EZ2cG85R29eoC5crK0+s3AIGBDOiJiOjNYzBPRETvtIhIgb9WyMGWZ1GgdatMThBleZIkYein8gshvR5YuJjBPBERvXkM5omI6J22cpVAVJQ8PaC/BLWapfL0+sp4S2jSWJ4+cBC4fIUBPRERvVkM5omI6J317JnAuvXytE8ZoF6dzE0PvVsG9Zdgr5Gn584XEIIBPRERvTkM5omI6J31x58C8fHy9OCBEiSJpfKUfgoUkNChgzx99Rpw4FDmpofSTgp7AMPJJZDCAzI7KUREKcZgnoiI3kkBDwW2/StPV68GVKzAQJ7SX4+uElxzyNMLFwnodCydz4rUt/dCBJyD+taezE4KEVGKMZgnIqJ30pKlAgajPD14AAN5yhjZs0vo01vOX0FBwJatmZwgSht9nPn/RERZAIN5IiJ659y5K7D/gDzdpDFQqhSDeco4H7UBChaUp/9YLhATw9J5IiLKeAzmiYjonbN0mRxMqVRA394M5CljaTQS+veV81l4OLB6beamh4iI3g8M5omI6J1y/YYehw7L082bAkUKM5injNekEVCqpDy9ao1AWBhL54mIKGMxmCcionfK/IUxAAA7FdC7JwN5ejNUKgmDB8r5LTYW+PNvBvNERJSxGMwTEdE748ZNgf0HdACAFi0ADw8G8/TmVKsKVK4kT2/aDAQGMaAnIqKMw2CeiIjeGUv/kIMnOzugVw8G8vRmSdLL0nm9HvhzOYN5IiLKOAzmiYjonXD1msDxk/J0q5ZAwQIM5unN8y4toX49eXrnbuDhIwb0RESUMRjMExHRO8HUg71aDfTqzkCeMo9pBAWjEVj2J4N5IiLKGAzmiYgoy7t8ReDUaXn64/YOyJ+fwTxlnhLFJTRqKE/v2Qfcf8CAnoiI0h+DeSIiyvJ+/6+tvEYDDOzvmMmpIQL69JIgSXLp/B8snSciogzAYJ6IiLK0y1cEzp6Tpz9sDeR3t8vcBBEBKOYpoXEjeXr/AeDuXQb0RESUvhjMExFRlrb875el8t27sno9vT369JSgUgFCvOzTgYiIKL0wmCcioizrpr/ACVMP9i2AvHkZzNPbo2hRCU2byNMHDwO3bjGgJyKi9MNgnoiIsqy//iuVt1MB3VgqT2+h3j0l2P33a4ul80RElJ4YzBMRUZZ0777AwcPydNOmHFee3k6FC0lo3lyePnIMuHGTAT0REaUPBvNERJQl/b1CDookCejBUnl6i/XqIcHuv34ZWTpPRETphcE8ERFlOYGBAnv2ydMN6sttk4neVh4FJbRqIU8fP8G280RElD4YzBMRUZbz9yoBo1Ge7tmdgTy9/bp3lXu2B4DlKxjMExHR62MwT0REWcqTpwI7dsrTtWoCpUoymKe3n4eHhKaN5emDh4D7DxjQExHR62EwT0REWcqq1QJ6vTzNUnnKSrp3kyBJ8rjzf69kME9ERK+HwTwREWUZoaECW7bJ05UrAb4+DOYp6yjmKaF+XXl6zx4gMIgBPRERpR2DeSIiyjJWrxNISJCne/VgIE9ZT8//8q3BCKxYxWCeiIjSjsE8ERFlCRERAhs3ydNlfYGKFTIzNURpoy0loVYNeXrHTuDpUwb0RESUNgzmiYgoS1i3XiA2Vp7u2UOCJLFknrImU+m8TgesWsNgnoiI0obBPBERvfWiowX+2SBPa7VAjWqZmx6i1+HrI6FyJXl6yzYgLIwBPRERpR6DeSIieutt3AxERsrTvbqzVJ6yPlOfD/HxwJp1DOaJiCj1GMwTEdFbLS5OYPVaOdjx9ATq1snc9BClh4oVAF8feXrDJiAykgE9ERGlDoN5IiJ6q239FwgPl6d7dpOgUrFUnrI+SZLQs7ucl2NigM1bMzlBRESU5TCYJyKit1ZCgsDK/4bv8igINGqYyQkiSkc1qgPFPOXpdf8IJCSwdJ6IiFKOwTwREb21du4GQp7J0927SlCrWSpP7w6VSkKXTnKefh4K7N6byQkiIqIshcE8ERG9lfR6gb9WyCWV+fICLZpncoKIMkDTJkCePPL0qtUCRiNL54mIKGUYzBMR0Vtp734gOFie7tpFgkbDUnl692g0Ej7pIOftBwHA8ZOZnCAiIsoyGMwTEdFbx2gU+OtvuYTSzQ1o80EmJ4goA33YGnB2lqdNfUQQERG9CoN5IiJ66xw6LJdSAkCXThIcHFgqT+8uFxcJH7WRp/0uA1euMqAnIqJXYzBPRERvFSEElv9XKp89O9D2w0xOENEb0PFjCWq1PL1yNYN5IiJ6NXVmJ4CIiN5eqqAL0FzZALugC5CiHgOGBIhsbjC6+0CvbQ69dxtAStl7YdXT61Bf2wy7h6ehigwGEqIhsrlCOLrBmK80DIWqQe/VEifOOeHWbXmbTzpIcHJKXam80X8vHE6vgl3wBUjRzwE7DYSLO/RFakBf7hMY82itbyiMUF9aDc3VTVCF3gGMeogcBaEv0QgJ1QYC2VytbxcbBuc/WkGKC4fesy7i2i9KVXrfBCn6Gezu7IPd4ytQPfOHFPMMUmw4YEgANI4wurjDmLc0DCUaQV+qGaCyS/Ox1Fc3Ituur1O8fmzb+TAUf4vHHBRGOK7rDbtHZ8xmG3MUREz/fa+/f4MO6qsbUPjWHuxv6Y9sxnBEG5xht6wwVF71oavQFXB0s75tXATsTy+C+s4+SBFBgEoNY67i0Pu0ha58F5v3pl3AKTj+0xsAEF93DHRV+7/+eRAR0RvHYJ6IiCzpE+Cw91torm22WCRFP4Xq7lOo7x6A4fxyxLVdAOGSz/a+dHFw2DcJ6mtbIMG8xFGKeQbEPIPd81vQXN+KGDdP/PlXJQCAkxPwcftUpFkXg2z/joHh7kFoEs83xEMKjYJ96B1oLq2GrvogJNQaZr6tMCLbluFQ3zEPzqSw+7A/uxTqW3sR02UV4JTL4rAOBydDiguHUDsivvHEVCT4zbF7eArZ9k6yvjA+EnbxkbB7fhuaG9tgyFsacW3nQ2Qv8EbT+LbSnPndIpBPL1LYPThu+hSqsPsAgBwSADvA3i4cCA0HTlyG/fnliGsxGYYSjcy3jXkOx1VdoXoR8HKmIQF2T67I/x6cQNyHsy0Den08HPbK+dSQtzR0lXtnyLkREVHGYzV7IiKy4LBznNVAPim7p9fguKYHkBBtfQVdHBzX9YLm2maLQN6am/7A1WvydPu2QI7sKSyVF0Zk2/Qp1HcPJruaJAywPzkfmhPzzOarb+5QAnmja2HEdF2L6H57oS9aBwCgehEAh+OzLfZn9+AYNNe3AgASag2DcPVIWXrfYnYhN5Bt++eZnYy3gurpNdifmJMh+5aiQ+C4pqcSyNtcLz4C2baOgN2D42bz7Y/PUQJ5fbF6iO63FzFd18KYQ86D6jv7oPbfabE/+5MLoAp/ACGpEN/kO0DFch0ioqyKT3AiIjJjF3ACmiRBgL5IDSRUHwI4ukEVdAEOh6dBSogCIAe69kd+QULjby325XDgR9g99jPfV7H60Pm0g3AtBKg0kCKDoQq5DvXdQ9i+S37H7OAAdOqY8ur1mkuroH54ymxeQvmu0JfrBOiiYX/0V6gfnVaW2Z9aCEPJJjDm9ZLPOdFLgISq/WDMXxYAEN/gS6j/bG2xDgC5xsHe7wAAhnze0FXqmeL0ZgRVyE2or2+BcHSzqDYt7DQwFKoKvWcdGPNoIZzzQmicoIoOgdp/BzSXVputbxd4DtKLwHR5ORFf73PoSzW3uVw45X7tY5hI4QFQX98KKSEaCfW/eL2d6eKQbfsXkAw6AICwc4BkiE+HVMoc9v8IVcwz5bOws0d8/XG4GlMdf866j6/K/oACTo8BAJJRD4fdExDTZwegdgAA2N05oGwbX/9LCFcPCFcPJFTth2z7vv9vnYPQe7VS1lM984fm7FL59Mp3hbFAuXQ7HyIievMYzBMRkRm1/y6zz0KdDXFtZgMO2QEAxjylIMW9gMPRGco6mqsbkVB7hFm7cun5HaivrDfbV3yDr6Gr1MP8gHm1MBSvj/POg7DuN7n0/sPWgJtbSkvlBTTnlpvNMnhUQULjb5TPcR/OhvPiRpB0MXLajHpozi9HfPMf5c8xz1/uLsfLAFa4Fn55PjGhZsewPzkPqhcPISQ7xDf932u1M08rKfIx1De2QX19K+ye+QMAEir2sFjPUKoZYks1s5yfqxgMhasB8VHQ3Nhmvu+YZ+kSzAtHt4ytsRAbBvXNHdBc3wq74IsAAH2Jxq+9W/vDU+W+EwAY3MvC6OYJzY2tr71fAJBeBMLu9h6zebqq/aGv0BVaIRCyvBi+u+SAhTUHKMtVkcFQ+++EvsxH8j5iX+ZHm3k29mW+hhBw2DMRklEHo0t+JNQZmS7nQkREmYfBPBERmZEigsw+i+wFlEDexFSirWyjj4P63hHovVsr8zR+a8yq1hsKVnwZyMeGQTLqIbLlBOzkFu6mHuw1Gnk4upRSPb1m3m4YgF7bwnylbK4wFKlp1iZefXsP4pv9AEiSWemwFBFodVokai+vCrkJzbllAABdxW4wuvukOL2vLT4K6lu75QD+0WlIwvj6+xSWTSCMiYLC12F/6jfYH/kFUtwLQOMEYw4PGApXg658Jwi3YmnbqT4e6jv75Wtw/ygkoy5d0mpid/cQ7C+tAgAIjRPiWk2F/anf0m3/6lu7Lb43vVauvSBJEjp3AiZ+VxPhCa7Iaf/i5Xb+u5RgXjjmghT9VN4mIhAiVzFl2kQ4vszX6kurlJcd8Y0mAPbO6XY+RESUORjMExGROTt7s49S9FNAnwCoX85XvXhosZnqyWUgUTBvl6Tau8HdF/YHfoL65g6lerFQaWAsUA4P3LvixEk5AG/VAsiXLxXB/OPLFvOMuUtazstTCkgUzEvxkZDC7kPkKgZDiYZKybT9md9hzOcD4egGh0NTXqa/eAN5QhjhsOdbSEY9jNkLIKHW8BSnNc0MOtjdPwr19S1Q3zlgtbq3IXcJ6LUtoS/TNtldSS/+C/b0cVBFP4Xafxc0N/81W0fn1cpqZ39poQp/8PJDfATsQiJgF3IdmosrkFB7RMp7UhdG2D08DfX1rXIw/F8zj8SMOTyg17aAzqdt2hMcEwqH3RNeJrnBlxBunmnfnxWqJ+Z5VkgqGHMVVz7XrwsUyC/hbmQJVMp93up2hhINofJbAwBwODQF8Y2+hRQbBvszvydapwEAQIp6CoejMwEA+pJNYSj5+jUXiIgo8zGYJyIiM4YC5c1KsKWEaDjsnSh38OboBrvgi9BYKaVURT55+cFogOr5bbPlmgt/W/Zmb9TBLvAcigeew+RK+/DtxSno1jV1f5pULx5ZzBNWAlFrbbNVLx7BkKsY9NoW0N/YDvWdfVC9eAinlR3N1jO6FkH8f0G75sIKpR+A+MbfZGgJpyroAtTXt0JzcwekuHCL5UbXItB7tYTeqxWMeW0MuZeE8+9NbC4Tkh30ZT5EfKNvbK6TXiSjHg5HfoHQOEFfoavN9Ux9Aahv/AtV1BOL5UbnfPIwiV6tYCxY4bXTlW33BOVlk75kE+jLdnzFFqmnehFoPiObq1lHdGq1hE86AqEnzPOxKvoZoI8H1A5IqDUMdg9OQPUiAOp7h6FO8r3qSzRWaqg47P8fpIQoCHsXuVSeiIjeCQzmiYjIjK5sB9if/V2uFv0fzbVN0FzblPyGCZEvp+MjLKoRv6o3+5aFtsMhvwcKFhidqvRaK6EV6mwpmifFR/w3oUJcm1nQ+K2G+uomqELvAkYdRPaC0JdojITq8jjzUuRj2B+fBQDQaVvI46PHR8L+zBKob+2Rqzjb2cOY1wu6Ct2g92qZqnORdxwH+zOLob6+zaL5AAAYsxd4Gbz+11FfetFV6ApdtQGAxvG19mN0zAVDySYwFKkhlzhLEqTQe7A/swR2T66Yretw7FfoS39g1t8CAGjOLDHrCyAx4egGfalm0Hu1gqFQFZvjqaeW+tJqqO/KHcsZnfMhrun36bLfpKT4SLPP1vLmBy2B86csvwcpPgJCnRfCKTdiuq2Vx5m/vQ9SZBAgqWHMXRz6Mu2gK98ZkFSwu70P6tt7AQDxdUZBuOSTh1w89RvsAk5AigmFcMgOo0dlJFQf9GabjBAR0WthME9EROYc3RD70Tw4bvoMUvwLm6sJSWUesNs5KJOmHsCTMnhURnzjiTC6esAu+BIcdn5lVtrawP5PxMT1swjskmWlvTesvjiwMk9KVJ1fZQddhW7QVehm81ByCWc0hEN2JDT8Goh7AafVXeXg38SQALvAc7ALPIeEp9eQUHdMik8FkDvjsz8532ye0SmPHLyWbgVjwUrm6U5H9hf+gubaJsR9MBMGz9pp2oe+WH05OE/SXAN5tIgt2QSOa7orbbcBObBN2t8CADgc+cXss3DIAX3JxnIAX6RGug+pJoXeg8OhqfKxICG+xU+Ao1u6HuOlJHnRSh52cpJQpJAA9EmXJPrus7kiod7nSKhnYyjBhGg47P8BgFzjRl++M1TBfnBc3xdSouEkpdhQqG7vgd3dg4hr86vFmPZERPR24jjzRERkwehRGTG9tiChYg8YXfIr84WkgsHdF3EtfoYxXxmzbYRjzpfTNqqex7WYIrdd1zjBUKQmAooPNVuuMibA7tGZVKVVJOmcD5A75LOcZ9nOXNhbbmuLnf9uqO/sBwDE1x0D4ZwXDkdnKoG8oVBVRPfdjdh2iyA0TgAA+zNLoAq6mOJjWCNUahhKNUm3QD5q9HX532enEdNzC+JrDlXSC8jBdbZtI4HYsLQdwCmXZSBvorJDQrUBlrNDrie7SwFJfkng9UGGBPIA4HBkOiR9LABAV6knDEXT9jIjJYRDDrPP1vIrABQtaCXPWsnvttgfnQlV1GMIlQbxTb8HICHbrq+VQD6hUk9EDziA+HryMH6SUYdsu8YDiQJ9IiJ6e7FknoiIrBIu+ZDQ8Gu5BDo+Si6RzpZDroKtj4fD3olm6xvzJGqzbe8M4ZDdrDqxyOYqjy2fyIpDPhifpPBTig5JVTqNSfYJWA4jJ897ZjHP2rZWxUfB4YA8jJ2hYCXoy34CCCPUN3e8XKXuWIichWHIWRh67zbQ/Nc5mfrmdiSkoi23sHeCIXcJ2D2Xh0WTjHpoLq2G5tJqGF3yQ+/VIn2q2Dtkh9EhO4x5SkG4FkK2nV8qi6SEKGiub7McRjAdCCu95Cetdg7Iw8HZ/dfhmwQBzY2t0NzYmmFV7BOnwf78n7A//2ey66siguAywxuA3EmerlKvFB/L6Oqh9Lsg7yACMOiUkR1Msumfm33WZ8ujjDP/KqpgP2j+65FfV6UvjHm0UD25qgy3JxxyIKHOGEBtD12VPtBc+Qeq0LuQ4sJh9+A4DKWapvh8iIgoc7BknoiIXs3BBSK7u9KWWn1rt0VpoqFwdfPP7r7m+0jShv76DYHLfgbLY2lS16GctaA2aed7AKB6dss8OfYuKe6l3OHIdKiin0LYaRDX9Du5DXhM6Ms29wCMeUommi718rhh91N0DIWjG2J7bUNMt3+QUKkXjM55X+4r6jHszy2D08pP4PR7M7nkNeRG6vZvhTGft8U8KbXpTiHJWoeFVppVxHZbi+g+25FQfbDZMHlSbBg0fmvguK4XnBY1gP2Bn6AKumCjucXbyehunmclYYQq9J75SkJY5OM7cUnuKZsH0MsjLggjjDmLIKHGEADmIwsYcxYxG6HCmDtRnk08AgEREb21WDJPRESWYkJtDk0mRQbD/vA0s3mGAuUtAkJ9ySZQB5x4uV18JFQhN5Ux6n//Q6BirvNIypi3tNlnx7U9zare68q0RXyLyS/Xz1cGRtfCZsPlqf13Qlex+8udxIbDLuCkefpKNUtRlXVV0AWo/dbKx67SH8I07F3SbRMHk4mn01gt3ujugwR3HyTU+xx2ASflHt1v74Wki5HT9eIh7E8vgv3pRTDmKg69tiV0pVtBJBriDACQEA0p6onl/ETs7h60nKmx7JTNaUljqCKCXu66xmdIqPWyqYQUEQT7Y7OQUHsERI6CVk7KAPsziy1mG2x0uibciiGh9ggk1B4BVeB5aK5vgdp/l9Kzvyo6BPYX/oL9hb/+6xiwpdwcIZM7cTOV2JvENf8Jep92ymd9qWawPzzNrFNItf9OJCQakcDuwTGzl0UAsMqvOQa8EHB1TT5Pac7+AbtnNwEA8U0mJSrNT7xd0nb7iV+2ZUyfDERElL4YzBMRkQX7c3/A7t5h6Eu3hsGjEoRTbkjxUbB7eAqas0uhin1ZjV1IKsTXseyBXu/9IYwn5pmt67B9DBLqfg7/kALIH3wJQ8rMM9vGkNc7xUOsKSQJusq9lI6+AMAu8Bzs930PfbnOgC4aDkdnKkEwILdD11Xq+ep9G3RyCScEjG6eSKg++OU+HHNBOLgqnQSqnvnDWLDif9MvawEY3Yql7nySUtnB4FkbBs/aiNfFQn17H9TXt8g9kRvl3tFUoXdhf3Ie7E/OswywY8PhtKw1jB6VoC/eAEZ3Xxhd8kEyGiBFPYHafxfUV9ZbnnqhaqlPqxBywH1zOwzFG0BforH8farU//Vm/7tSdd7E6JQHhmL1Xrlro0clxHtUQnzD8bC7dxia61thd/cgJIPcrlwVGQz7c0thf26pxQuflIj74BdAn2BzucPhqVDf2v0yPS7uiO20Qj7t1HTYCEC4esBQqhnUt3Yp8zRnf4dwzg19kVpQhd2Dw77/mW0TFFMA2wOaI89moHcyWVcKD1A6UNSV+QiGIjVfpjnXy7yoCnsgn+9/pfOJawEkXo+IiN5eDOaJiMgqu2f+sDs645XrJdQZBWNhK4Gfgwvim36HbFuGKyWQds/vwHHTYJQHUL6C+erCzl4etz0NdOW7wO7WHqgfnlLm2V9aBfv/2gxbrF9tkFJDIDmaM0tg91+QE9/kO7NqyZAk6Ep/APtLKwHIva/HNfkOqvAAqG9sU1bTlzbvpf21aByh924NvXdrSDHPob6xXQ7sEw/3lqQ0F5DbnJt62E8JfeEaMBSrm+ZkSkY91Lf3KkOi2SIkFeIbfwsk6oDvlew0MJRsDEPJxkB8pPwy4vpW2AWeVUZXsNYG/1VEouYMVpcnTaPKDsLVI9XHMYlvNB6qwHPKmPaSIQEO+3+AtRbxQqXG4qf/Q4LRAes3CnTpBDg4WC89d9g7CZI+DsLRDfH1x5ktM+bxgiF3Kdg9vwUpIQr2h6dCV6kn1P67oAqTq/kbHXOZvQAgIqK3F9vMExFRmgiHHIhrPhm6qv1trmMo2QTxraZZBkJJGB1zIe6j+UrJdqpJKsS1nQ99sfrJriYkOyRUH2JWcm1zl/+NxQ0AOp/2MFh5YZFQewQMuUsAkGsDOP/ZGo6bP1VqASRUHwRj/hS2c04l4ZQbuko9ENttndW25WnaJyTovD5A3Edz09axnJ0GwlZP9kmPlc1VHgLvdTpac8gOfdkOiPvkT8T034f4OqNhyJPKmh2ZRDjnRWyn5TC+ot8G4ZAdca1/hU/rWgCAsDBg9x7r66qvbVKatsTX/8JyaD1JQnzznyDsXQAA9hdXwHlpczj899JO2GkQ3/xHpW8MIiJ6u7FknoiILOjKtIVQZ4Pdo7NQvXgot1E2JEBkywlj7hIweNaFzvfjFI0Hry/9AQyFq0FzcQXs7h9FbNBDOEgxiNJnh2PhEpC0DaAr2yF1Y8tbo3FCXLuFcH16FnFnVsIu6KLcq73KDiJ7fugLV4e+fGfzXveT4bB3EiRDPIyOuRBvaxzvbDkQ23k17M8sljsFjAgE7OxhzFsaCRW7w6Bt8XrnlEKJ25YjSU/+Irs7YtsvgV3gOaiCL0AV+RhSbBgQHwXY2UNkc4XRzRPGghWg17ZMfTOHxMdyyYfowUehvnsQdg9PQxVyA6qIQPlYkiQfK48XDMXqQFem7et/52bnmR+6agOgqzYAUszzV2/wFhBuxRDTczPUVzdCfWs3VCH+kOJeAPZOMLoWgaFYPSRU7AY4uqFxUYHfFgEhz4A16wQ+aAWoVIlK52PD4HBoKgBAX6QG9GXaWj2mMb8vYrr9A/tTC2H34Dik2FDAITsMHlXkl0+Z3N8AERGlnCREyrp/DQtL43izr+Dm5pZh+6asjXmDksP8kTWdOy8wYrT8Z+eTDsDwoelfQYx5g5KTlfPHytUC8xfK98/UyRJq1WRHdelFc2IeskUFIs7FA7qan2V2cugtlJWfHZSxMipvuLm5vXIdVrMnIqI3QgiBhYvkQCRbNqBbFwYiRKnxYWvA6b8WK6vWZJ2h+IiIKGMwmCciojfi4CHg+n9Don/SAcidm8E8UWq4uEho84E8feEicOMmA3oiovcZg3kiIspwer3Aot/lwCNHDqBrZwbyRGnR8WMJdv/9elu9lsE8EdH7jME8ERFluH93AA8fytM9uklwcWEwT5QW+fNLaNhQnj5wAHj8mAE9EdH7isE8ERFlqLg4gaXL5IAjXz6gfdvMTQ9RVtf5E/llmMEIrFvPYJ6I6H3FYJ6IiDLUuvXA8/9GCuvXR4KDA0vliV5HaS8JFSvI01u2AZGRDOiJiN5HDOaJiCjDhIUJ/L1SDjQ8PYEWzTI3PUTvii6d5JdisbHA1n8zOTFERJQpGMwTEVGG+f0PgehoeXrIQAl2diyVJ0oPNaoDnkXl6XX/COh0LJ0nInrfMJgnIqIMcfeuwJZt8nSVykCtmpmbHqJ3iUolKW3nQ54B+w9kcoKIiOiNYzBPREQZYu4CAaMRUKmAYZ9JkCSWyhOlp6ZNADc3eXrVGgEhWDpPRPQ+YTBPRETp7sQpgdNn5OnWHwAlijOQJ0pvDg4SPm4n31u37wBnz2VygoiI6I1iME9EROlKrxeYN18uIXRyAvr3YSBPlFHafQQ4OMjTq9awZJ6I6H3CYJ6IiNLV5q3A/QfydM/uEnLlYjBPlFFcXSV80FKePn1G7quCiIjeDwzmiYgo3URECiz9Qw4mCuQHOn6cyQkieg980kGCqUuK1WsZzBMRvS8YzBMRUbr58y+BFxHy9JDBEhwcWCpPlNEKFZJQr648vXsv8OwZA3oiovcBg3kiIkoXAQEC6zfI0+XKAg3rZ256iN4nXTrJL870euCfDQzmiYjeBwzmiYjotQkh8MuvAno9IEnAcA5FR/RG+fpIKOsrT2/aAsTEMKAnInrXMZgnIqLXtv8AcO68PP1RG6B0aQbyRG9a50/k+y4qCvh3RyYnhoiIMhyDeSIiei3R0QKz58mlgDldgYH9GcgTZYY6tQGPgvL02nUCej1L54mI3mUM5omI6LUsXSbw/Lk8PWSwhBw5GMwTZQY7Owmd/iudD34s15ghIqJ3F4N5IiJKszt3Bf5ZL0+X9QVaNs/c9BC971q1AHK5ydPLlgsYDCydJyJ6VzGYJyKiNDEaBabPEDAYAZUKGD1SgkrFUnmizJQtm4SuXeT7MOAhsI+l80RE7ywG80RElCY7dwGXr8jTH7cDSpVkIE/0Nmj7IeBmKp3/k6XzRETvKgbzRESUahGRAvN/kwOE3LmAfn0YyBO9LbJlk5Rx5wMeAvsPZm56iIgoYzCYJyKiVJu/QCA8XJ4e+pkEFxcG80Rvk3YfATlzytN/su08EdE7icE8ERGlytlzAtu2y9NVKgNNGmVueojIkqOjhK6d5Zds9x8ABw5mbnqIiCj9MZgnIqIUi40V+Hm6XMKXLRvwxVgJksRSeaK3UbuPgJyu8vTSZRx3nojoXcNgnoiIUmzJHwLBwfL0wH4SChZgIE/0tnJ0lNCt68u28zt2ZnKCiIgoXTGYJyKiFLl6TWDdP/J0GW/g4/aZmx4ierX2bYF8eeXppcsE4uNZOk9E9K5gME9ERK+k0wn8PE3AaATUauDLLyTY2bFUnuht5+AgoW9v+V4NeQas35jJCSIionTDYJ6IiF7p75XA3XvydM/uEooXYyBPlFW0aA4ULSJP/7VCIDKSpfNERO8CBvNERJSsu/cE/vxL/vFfvBjQo1smJ4iIUkWtljCwv/wCLjISWLmawTwR0buAwTwREdlkMAhMmSqg1wMqlVy9XqNhqTxRVlOvLuDtLU+v/Qd49owBPRFRVsdgnoiIbFq/Ebh2XZ7u+DFQxpuBPFFWJEkShgyU79/4eGDR7wzmiYiyOgbzRERkVVCwwKIl8g/+AgWA/n0ZyBNlZZUqSqhdS57esRO4cZMBPRFRVsZgnoiILAghMO0Xgbg4+fO4sRIcHRnME2V1nw2RYGcHCAHMmScgBAN6IqKsisE8ERFZ2LETOHNWnv6gFVClMgN5ondBkcISPm4nT1/yAw4eytz0EBFR2jGYJyIiM8+fC8yeJ5fW5c4ll+QR0bujdy8JOXLI0/MXCsTHs3SeiCgrYjBPRERmZs4WiIqSp0ePkpAjO4N5ondJjuwS+vWR7+vgx8C69ZmcICIiShMG80REpDh0WCjVbhvUA+rXZSBP9C76qA3g6SlPL/9b4Plzls4TEWU1DOaJiAgAEBEpMONX+Qe9iwswagQDeaJ3lVotYdin8j0eEwMsWcpgnv7f3p3H2VQ/fhx/f2ZfDGasg+xblhQSqRAVSatKQkWKaNP+LVKItFARKSktVCqVtFiSrQVRVJZfCGMbY8YYM2a7n98fx4yZMMZsd5nX8/G4j/mcc88993Pr43PP+37O+RwA3oYwDwCQJL0+xSruoFO+b4hRhQqEecCXXdDGqF1bpzxvvrRlC4EeALwJYR4AoNVrrObNd8rnt5a6dXVvfQCUjKGDjfz9nFvVvTKJW9UBgDchzANAKZea6txTXpJCQqRHHjIyhlF5oDSoVcvoumO3qlv3O7eqAwBvQpgHgFLunZlWMbud8sABRtWiCfJAadL/dqNyx25VN3kKt6oDAG9BmAeAUuyfrVYfznbKjRpKPa93b30AlLyyEUZ3DnB+xNu7T5r1kZsrBADIF8I8AJRSLpfV+BetMjMlPz/p0YeN/P0ZlQdKox7dpXp1nfL7H1rt38/oPAB4OsI8AJRSc7+U/vzLKd/YU2rUkCAPlFYBAUb3DXX6gKNHpanTCPMA4OkI8wBQCh04YPXGm87BetUq0oDbCfJAadeqpVGHS5zy9wul9RsI9ADgyQjzAFAKTXzV6sgRp/zQg0ZhYYR5ANI9g4yCAp3yK69ZuVwEegDwVIR5AChllq+wWrLUKV/aSWrXliAPwFG9mtHNNzvljZukb79zb30AAKdGmAeAUiQlxerlV5yRtjLh0v1DCfIAcuvb26hCBac8dZrVkSOMzgOAJyLMA0ApMvMDq/37nfKgu40qVCDMA8gtLMxo8N1O33AwXpr5PmEeADwRYR4ASoldu6xmH7t/dONG0tVXubc+ADzX5V2kJmc75Y/nOP0HAMCzEOYBoJR4dZJVerpTfvB+Iz8/RuUBnJyfn9H99zp9RHq6NHkKYR4APA1hHgBKgRUrrVb+7JSv7CY1bUKQB5C3pk2Mul7hlJetkFatJtADgCchzAOAj0tNtXp10vFJ7wYNJMgDyJ9BA41CQ5zyK5OsMjII9ADgKQjzAODjPp4jxex2yv3vMIqKIswDyJ+KFY369XX6jO3bpS/nubc+AIDjCPMA4MPi463e+8AZSatTW7r+WrdWB4AXuqmnFF3VKc941yo5mdF5APAEhHkA8GFvv2uVnOyUhww2CghgVB7AmQkONho4wOk74uOlWR8R5gHAExDmAcBH/fuv1ZdfOuXzW0sXtHFvfQB4ry6dpYYNnPLsj6QDcQR6AHA3wjwA+Kgp06wyXZIx0j2DjIxhVB5Awfj5GQ2+2+lDUo5KM94hzAOAuxHmAcAH/bbWavkKp9ytq9SgPkEeQOGc39qozflOed7X0o4dBHoAcCfCPAD4GJfLavIU5yA7OFga2J8gD6BoDL7byBgp0yVNfZMwDwDuRJgHAB+zZKm0abNT7nWTVKkSYR5A0WhQ3+jyy5zy0mXSH+sJ9ADgLoR5APAhmZlW0992Dq7LlZV69yLIAyhaA/sbBQU65SlvWFlLoAcAdyDMA4AP+X6h9O8Op3xrb6PwcMI8gKJVtarRDdc75fUbpKXL3VsfACitCPMA4CPS063ePjbDdIUo6fpr3VsfAL6rbx+jiAin/MY0q4wMRucBoKQR5gHAR3z9jbRnj1Pu18coJIRReQDFo2yEUd9bnT5mx05p3nw3VwgASiHCPAD4gNRUq3dnOiNjVapIPa5yc4UA+LwbrnP6G0l6e4ZVcjKj8wBQkgjzAOADvvhSij3glO+4zSgoiFF5AMUrONho4ACnrzkYL330iZsrBAClDGEeALxcaqrVB7OdEbEa1aWul7u5QgBKjcu7SPXrOeUPZ1vFJzA6DwAlhTAPAF5u3nwpLs4p39bXKCCAUXkAJcPPz2jw3U6fk5IivfseYR4ASgphHgC8WHq61QeznIPn6KrSZV3cXCEApU6b86VWLZ3y3C+kmN0EegAoCYR5APBi33wn7d/vlPvcyqg8gJJnjNGgu5y+JyNDeuttwjwAlATCPAB4qYwMq/c+cA6aK1eSul3h5goBKLXObmx0aSenvGChtHkLgR4AihthHgC81IJFx+8rf+stzGAPwL0GDjDy93fKU6cR5gGguBHmAcALZWZavfe+c7BcIUq6qrubKwSg1DurhtHVPZzyr6ukVasJ9ABQnAjzAOCFli2Xdux0yr1uNgoOZlQegPvd3tcoNMQpT51m5XIR6AGguBDmAcDLWHv8vvIREdI1PdxcIQA4pkIFo143O+VNm6Uflri1OgDg0wjzAOBlfv9D+vtvp3zdNVJYGKPyADxHr5uMypd3ytPeskpPZ3QeAIoDYR4AvMyHx0blgwKlntcT5AF4lvBwo9v7OX1TzG7py3lurhAA+CjCPAB4kW3brVb+5JSvuEKKiiLMA/A81/SQoqOd8jszrZKTGZ0HgKJGmAcALzLrI+eA2BjplpsI8gA8U2Cg0V13On1UfLw0+2M3VwgAfBBhHgC8xIEDVt8vcMoXtZdq1iTMA/BcnTtJDRs45VkfWR08yOg8ABQlwjwAeImPP7XKyHDKt95CkAfg2fz8jAbf7fRVKSnSu+8R5gGgKBHmAcALHDli9cWXTrl5M6lZU8I8AM93fmuj1q2c8twvpZ27CPQAUFQI8wDgBb6cJx054pR79yLIA/Aeg+5y+qzMTGnyFMI8ABQVwjwAeLj0dKuPP3EOgGueJbW/0M0VAoAz0LiRUdcrnPLyFdKq1QR6ACgKhHkA8HALF0uxB5zyLTcb+fkxMg/AuwwaaBQa4pRfnWSVkUGgB4DCIswDgAez1mrWbOegt0KUdPllbq4QABRAxYpGffs4P0Ru2+5cOgQAKBzCPAB4sJ9/lbZuc8o9bzAKDmZUHoB3uvlGKbqqU57+tlXiYUbnAaAwCPMA4MGyRuVDQ6RrrnZzZQCgEIKDje4Z5PwgeShRmvEOYR4ACoMwDwAeauNGq9/WOuWre0hlIxiVB+DdOnaQzm3hlD/7XNr+L4EeAAqKMA8AHurDj5yDXH8/6caeBHkA3s8Yo/uGGhkjZbqk1yYT5gGgoAjzAOCBYnZbLfnRKXfpLFWtQpgH4BsaNjC66kqn/Muv0sqfCPQAUBCEeQDwQB99bOVyOeVeNxPkAfiWgQOMwsOd8iuvWaWmEugB4EwR5gHAwyQkWH39jVNuc77UoD5hHoBviYoyGnC707fF7JY+mOXmCgGAFyLMA4CH+WyulJrqlHv3IsgD8E3XXyfVq+eU3//AKiaG0XkAOBMB7q4AAOC4o0etPvvcOaBt2EBq1dLNFUKB/fHHH5ozZ45+//13HTx4UGFhYapTp466du2qq6++Wn5+Z/Z7+vPPP6/PP/9cklS1alXNnTv3pNvFxcVp6tSpWrFihRITExUdHa1u3bqpX79+Cgg4+df+0aNH1adPHyUlJemjjz5SuXLlzqhuObVt21aSNGDAAA0cODDPbZ999lnNnz//pJ9n9+7duv766094TVBQkMLDw1WuXDnVr19fTZo0UZcuXVS5cuU832vw4MFau3at2rRpo1dfffXMPhSKRUCA0UMPSPfca5WWLk141eqFcc4keQCA0yPMA4AHmf+tlHDIKffuZTio9VJvvPGGZsyYkb0cERGh5ORkrVu3TuvWrdN3332nl19+WaGhofna35o1a04Z3nNKTEzUXXfdpZiYGElSaGiodu7cqWnTpun//u//9Nxzz530ddOnT9euXbv09NNPFyrIF5fw8HAFBwdLklwulw4fPqz4+Hht375dCxcu1OTJk9W5c2cNGzZM5cuXd29lcUbOaW50ZTer+d9IP/8iLV0udbjY3bUCAO/AafYA4CEyMqxmHbsdXXRV537M8D5ffPFFdpC/7LLL9OWXX2rBggVavHixRo4cqbCwMK1du1ajR4/O1/6OHj2qsWPHyt/fX2effXae286ePVsxMTFq0KCB5s6dqx9++EGTJ09WWFiYFi9erDVr1pzwmi1btujDDz9UmzZt1K1btzP/wCXgwQcf1Pz58zV//nx9++23Wr58uebNm6exY8eqXbt2yszM1Pfff6++fftq9+7d7q4uztDgu40iIpzyK69ZpaRwuj0A5AdhHgA8xOIl0p49TrnXTUYBAYzKe5vMzExNmzZNktSoUSM9++yz2ad/BwYGqmvXrho2bJgkadGiRVq3bt1p9zl16lTt2rVLffr0UZ06dfLc9tdff5UkDRo0SFWrVpUktWrVSldffXWu57O4XC6NHTtWAQEBeuyxx/L/QT1AxYoV1alTJ02YMEGjR49WQECAYmNj9dBDDykjI8Pd1cMZiCxvdPedTn+3f7/0zkzCPADkB2EeADyAtVYffOgcwJYvL3W/0r31QcFs3LhRcXFxkqRbb731pJdJdO/eXVFRUZKkr7/+Os/9bdiwQR9//LFq1qypO+6447Tvn5CQIEmqXr16rvVnnXWWJCk+Pj7X+k8++UR//fWXBgwYcMJrvEmXLl00ePBgSdK2bds0f/58N9cIZ6rHVdLZjZ3y7I+lbdsJ9ABwOoR5APAAK3+S/tnqlG/qaRQSwqi8N9qTdWqFpNq1a590G2OMatWqJUn6+eefT7mvtLQ0jR49WtZaPfbYY9nXjOcl63r3rGvms+zatUuScl1Pvm/fPr3xxhuqX7++evfufdp9e7qePXtmfz7CvPfx9zd66AEjY6TMTOnliVbWEugBIC+EeQBwM2ut3j82Kh8WJl13jZsrhCLhcrlO+VxmZqYkKTY2VomJiSfdZvr06dq+fbt69OihVq1a5es927RpI8mZgG/fvn2SpLVr1+qLL77I9bwkjR8/XkePHtUTTzxxylnuvUlwcLBat24tSfrzzz+VmnV/R3iNxo2NrnGuCNHaddKCRW6tDgB4PO//9gYAL/f7H9L6DU75umukiAhG5b1VdHR0dvmff/5R48aNT9gmIyNDO3bsyF4+cOCAypYtm2ubTZs26f3331dUVJSGDh2a7/fv1auXvvnmG23evFnXXHONQkNDlZKSIknq0KFDdthdsGCBVqxYoRtvvFFNmzY9o8+YXx9++GH2rfRO5ciRI0X6nvXr19fChQuVnp6u/fv3Z19eAO9x151GS360SkiQJr9udWFbqUwZ+kQAOBlG5gHAzd77wBmVDwp0TrGH92rcuHH29fDvvffeSSdimzt3bva17dKJgTYjI0NjxoxRZmamhg0bdkLQz0u5cuX05ptv6sorr1RkZKTS09NVo0YN3XnnnRozZowk6fDhw5o4caIqV66sQYMGSZL++OMPDRkyRB07dlTnzp310EMPadu2bWf68XNJSUnRwYMH83wU9eh5zv9WpzrjAZ6tbITRkEFOPxh3UHprBqfaA8CpMDIPAG60eYvVL8cmGL/ySqlCBcK8N/P399fAgQP1/PPPa/v27XrooYc0ePBg1atXT4mJifr+++81ZcoUBQQEZAf9/06SN3PmTG3evFnt27dXly5dzrgOlSpV0ogRI075/Kuvvqq4uDiNHz9e4eHh+v333zV06FBZa9WpUyelpqZq6dKlWr9+vWbMmFHgifEGDBiggQMH5rnNs88+W6TXt3ONtW/oeoX01dfSH+ulzz6Xune1atCAvhEA/ouReQBwo6xr5f39pN69OFj1Bdddd5369esnSfrll190++236+KLL1b37t31yiuvqEyZMurfv3/29jlHk7dt26YZM2YoLCxMjz76aJHXbe3atZo3b546duyoSy65RJL0yiuvKD09XcOHD9eoUaM0fvx43XXXXUpMTNSUKVOKvA7F6fDhw9nlrMkA4X2MMXroQSN/P8nlkl6aaOVy8UMNAPwXYR4A3GTnLqslPzrlzpdK1aIJ877innvu0VtvvaUePXqoXr16qlKliho3bqzbbrtNH374oYKCgiRJQUFB2feDl6QXXnhB6enpuv322xUREaHk5ORcj6yJ8yRlr8vvPdXT0tI0btw4hYWF6aGHHpIkxcXF6a+//lJkZKQuu+yy7G1vvvlmGWO0cuXKPCfy8zRbtmyR5Px3rVSpkptrg8KoV9eoZ0+nvOFPaf437q0PAHgiTrMHADf5cJZVVk7q05sg72uaNWumZs2anfS5tWvXSnKusc8K9pK0e/duSdLrr7+u119//ZT73rt3ry699FJJ0gMPPKBevXqdtj4zZszQv//+q0ceeSQ76GbdSi86Olp+fsd/3w8PD1f58uUVHx+v+Ph4VahQ4bT7d7fU1FStWbNGktS0adN83coPnm3A7UaLFlsdOCBNecPq4oukcuXoKwEgCyPzAOAGe/dZffOdU25/oVS3LgeopcW+ffuy7y9/5ZVXlsh7bt26Ve+//76aN2+u66+//oTn09LSTljnbbd2mzNnTvbEgt27d3dvZVAkwsKM7h3i9I2HEqU33uJUewDIiZF5AHCDme9bZZ0d3a8PQb60yMjI0NixY5WZmakaNWqoa9euuZ6fO3dunq/PmjCuatWqp902i7VWY8eOlbVWTzzxRK4J97Jupbdz504lJSWpTJkykpxr95OTkxUWFqbIyMj8f0A3WbRoUfb1/fXq1Tvhvyu816Udpa/mSavXOH+7d7Nq2oQ+EwAkRuYBoMTt3mP19bEJvC9sKw5MfUxMTIymTp2qjRs3Zo9uZ2Zmau3atRoyZIh+/vlnBQcHa8SIEQoJCSn2+nz66adav369+vTpo7p16+Z6rkKFCmrSpIlSU1M1YcIEHT16VElJSZowYYIk6cILL8x1+r0niYuL0w8//KBhw4bpySefVEZGhipVqqQXX3xRAQGMVfgKY4yG3W8UECBZ60yGl5nJCD0ASIzMA0CJe/c9q6x5zPrfQZD3NUeOHNE777yjd955R5IzW/2RI0eyJ6+LiorSqFGjdM455xR7XWJjYzVlyhSdddZZuuOOO066zX333ad7771XX3/9tb777jtZa5WZmamyZctm34fe3SZMmJA9h4C1VklJSUpPT89+3t/fX5dddpkefPBBZrH3QTVrGvXuZTXzfWnzZmnul9IN17m7VgDgfoR5AChBu3ZZffutU764vdS4EWHe10RHR2vAgAH67bfftGvXLiUkJCg8PFw1a9bUxRdfrBtuuCH7dPbi9uKLL+rIkSMaP378KSeEO/fcczVp0iS98cYb+uuvv+Tn56fzzjtPQ4cOVY0aNUqknqdz5MgRHTlyRJIUGBiYPUFf/fr11bRpU3Xp0oXZ631cvz5G3y+w2rtPevMtq04dpKgo+k8ApZux1ubrXKX4+PhiqUBkZGSx7RvejbaBvHhr+xg91qVvj018N+NNowYNOBgtat7aNlAyaB/ea/kKq8efdA5bu14hPfVE0V0CEvjTZIUkxehomepKbzekyPYL30HfgVMprraRnzlrPPNCOADwQTt2WH2/wCl3vEQEeQA4Axe1N7qwnVP+9jtp3e9cOw+gdCPMA0AJmTbdua+8MVL/2wnyAHCmHrjPKCjIKb80wSojg0APoPQizANACVi/wWrJj065S2fuKw8ABVEt2mTfznPbdumTT91bHwBwJ8I8ABQza60mT3FGj4ICpbsGEOQBoKB695Ky5mZ8+x2r/fsZnQdQOhHmAaCYLflR2vCnU+7ZU4qOJswDQEEFBTn3npeklBRp0hTCPIDSiTAPAMUoPd1q6jTnQLNcWalvb4I8ABRWm/ONOnV0yot/kFavIdADKH0I8wBQjD7/QorZ7ZRvv80oIoIwDwBF4d57jEJDnPKEV6zS0wn0AEoXwjwAFJNDh6zemekcXNaoLl17tZsrBAA+pHJlo9tvc34g/XeH9PEcN1cIAEoYYR4AisnUN60SE53yoLuMAgMZlQeAonRTT6lWTaf8zrtW+5gMD0ApQpgHgGKw4U+rr+Y55TbnSx0ucW99AMAXBQYaPZg1Gd5RadLrhHkApQdhHgCKWEaG1UsTnAPKwEDpwfuNjGFUHgCKQ+tWRpd2cso/LJFWrSbQAygdCPMAUMQ+/0La8n9O+dZbpLNqEOQBoDgNHXx8MryXX7FKSyPQA/B9hHkAKEIH4qzenO4cREZHS31vJcgDQHGrXNnojtud/nbnTumjT9xcIQAoAYR5ACgi1lpNfMUqOdlZHna/UXAwYR4ASsKNN0i1aznld9+z2ruP0XkAvo0wDwBFZNFiaclSp9zhEqldW4I8AJSUnJPhHT0qTZpMmAfg2wjzAFAE4uKsXn7FOXAsV1Z66AGCPACUtFYtjTpf6pSXLJV++ZVAD8B3EeYBoJCstXrx5eP3lH9omFFUFGEeANxh6GCj0FCnPOFVJsMD4LsI8wBQSN8vkJatcMqXdpIu7UiQBwB3qVTJqP+xyfB27WIyPAC+izAPAIWwd5/VhFedUZ/ISGfSOwCAe914g1S7tlN+ZyaT4QHwTYR5ACigjAyrZ0ZZJSU5yw8PMypfnjAPAO4WEGCyf1xNTZVeYzI8AD6IMA8ABfT2O1brNzjlq3tIHS4myAOAp2h5ntFlXZzyj0uln38h0APwLYR5ACiA1Wus3vvAKdetI90/lCAPAJ5myCCjsDCnPPFVq9RUAj0A30GYB4AzFB9vNWqMlbVScLA0coRRcDBhHgA8TcWKRgPuODYZXoxz/TwA+ArCPACcgYwMq2dGW8UddJYfuNeobh2CPAB4qhuukxo2dMofzpK2/B+BHoBvIMwDwBmYNt1q9Rqn3PlS6aru7q0PACBvAQFGjz9i5O8nZbqk51+wysgg0APwfoR5AMinxUusPpzllOvWkR572MgYRuUBwNM1bGDU62anvHGTNOcz99YHAIoCYR4A8mHrNqux45yRnDLh0phRRmFhBHkA8Bb9bzeqXs0pvzndKmY3o/MAvBthHgBOI/Gw1f+GW6UcdZaHP2l0Vg2CPAB4k+Bgo8ceOX7v+bHPW7lcBHoA3oswDwB5yMiwGjHSatcuZ7n/7UbtLyTIA4A3anmeUY+rnPK636U5n7q3PgBQGIR5AMjDa5OPT3h38UXS7f3cWx8AQOHce49RdFWnPPVNq3//ZXQegHcizAPAKXz+hdWnnzvl+vWk4f8z8vNjVB4AvFlYmNH/HjcyRkpLk0aPtXK53F0rADhzhHkAOIlVq60mvuKM1kRFSuOeY8I7APAV551rdFNPp/z3RumP9e6tDwAUBGEeAP5jx06r4SOtMl1SUKD03GijqlUI8gDgS+6606h2Lae8dq1VQgLD8wC8C2EeAHJIPGz12P+skpKc5ccfM2rWlCAPAL4mONjoqSeM/P0ll5XWrstQWpq7awUA+UeYB4BjMjKshj9ttXOns9yvj3R5F4I8APiqxo2NBt3l9PMpKVbLV1hZy4R4ALwDYR4AjnllktWa35zyJRdLd/YnyAOAr7v5RqlGDae8bbv01ddurQ4A5BthHgAkffKp1edznXKD+sxcDwClhZ+fUYeLjYJDnD5/4qtWW7cyOg/A8xHmAZR6y1dYvTrJOXCrEOXMXB8aSpAHgNIiJEQ695wAGTm3q3vyaaukJAI9AM9GmAdQqm3cZDVylJW1zsHc82ONqlQmyANAaVOhgp/OPdcp79yZdf95Aj0Az0WYB1Bq7d1n9dgTVkePSsZII4cbNW5EkAeA0uq8c43atXXKy1dIM993b30AIC+EeQCl0pEjVo8+bhV30Fm+d4jRRe0J8gBQmhkjDX/SqHo1Z3n6DKuffmZ0HoBnIswDKHUyMqyGj7Taus1Z7nm9dFNPgjwAQCobYfTcaKOQEMla6ZlRVv/+S6AH4HkI8wBKFWutXppo9esqZ/nCds6oPAAAWerVNXr8Eee7IemI9OgTVgkJBHoAnoUwD6BU+XC29NU8p9ywgXOdvL8/YR4AkFuXzka39XXKMbulJ0dYpaUR6AF4DsI8gFLjhyVWU95wDsQqV5LGjzUKCyPIAwBObsAdRpd2csq//yGNf8nKWgI9AM9AmAdQKmz402rUc84BWGiocwu6ihUJ8gCAU/PzM3rycaMmZzvL334nvfeBe+sEAFkI8wB83s5dVo8/aZWWJvn7SaNGGjWoT5AHAJxecLDRuDFGVas4y9Peslq8hNF5AO5HmAfg0w4etBr2iFVCgrP84P1GbS8gyAMA8i8qyhy7NMtZHv2c1YY/CfQA3IswD8BnJSdbPfy41Z49znLfPtK11xDkAQBnrm5do2efNvLzk9LSnBnuuWUdAHcizAPwSenpVk+OsNq82Vm+sqt01wCCPACg4NpeYPTQg853SWKi9NCjVgcOEOgBuAdhHoDPcbmsxj5vtWq1s9yurfTow0bGEOYBAIVzTQ+j/rc73yd79zmB/vBhAj2AkkeYB+Bzpk6z+n6hUz77bOnZp40CAgjyAICiccdt0tU9nPI/W6UnnrJKTSXQAyhZhHkAPuXD2VYfznbKNWo495IPDSXIAwCKjjFGDz1gdPFFzvK636VRY6wyMwn0AEoOYR6Az5j7hdXrU50DqQpR0ssvGEWWJ8gDAIqev7/RyOFG5zR3lpcslSa+ZmUtgR5AySDMA/AJ331v9dJE5wCqbFlpwotG1aIJ8gCA4hMcbDTuOaM6tZ3lz+dK777nzhoBKE0I8wC83rLlVs+Ns7JWCg2VXhpvVLcuQR4AUPzKRhi9NN6ocmVn+a23rb74itF5AMWPMA/Aq61abTXiGatMlxQUJD3/nNHZjQnyAICSU7myE+gjIpzlF1+2WriIQA+geBHmAXitP9ZbPfGUVXq65O8vjXnWqOV5BHkAQMmrU9vohXFGoSGStdKo56xW/kSgB1B8CPMAvNKa39L10KNWR49Kfn7SiKeM2rUlyAMA3KdZU6OxY4wCA6XMTOmpp61+W0ugB1A8CPMAvM5va63uHpyolBTJGOmxR4w6dyLIAwDcr3Uro2efNvL3k9LSpMf+Z/X3RgI9gKJHmAfgVVavsXrkcauUo06Q/9/jRt27EeQBAJ7j4ouMnnzCyBgpJUV66FGrrVsJ9ACKFmEegNf4dZXVo09YpaY6p9YP/59RtysI8gAAz3P5ZUYP3u98RyUmSvc/ZLVtO4EeQNEhzAPwCj//YvX4/6zS0iR/P+n558ro8ssI8gAAz3X9tUaD7nK+q+LjpfseJNADKDqEeQAeb+Eiq8eftEpLd4L80yOMruwW7O5qAQBwWn16Gw0cQKAHUPQI8wA82qefWT0z2iojQwoIkJ4daXRpR0bkAQDe47a+BHoARY8wD8AjWWv11tsuTXjVylopNFR6YZxRh0sI8gAA70OgB1DUCPMAPE5mptWLL1u9M9NZLl9Oem2C0fmtCfIAAO/130B/7wNWmzYT6AEUDGEegEdJTbV6+hmrL75ylqtWkV6fZNS4MUEeAOD9cgb6hAQn0P+2lkAP4MwR5gF4jANxVkPvt1qy1FmuW0eaOtmo5lkEeQCA77itr9F9Q53vtuRk5z70Py4j0AM4M4R5AB5h02argXdb/b3RWT63hTTpVaOKFQnyAADfc1NPoxFPGvn7S+np0vCnrT6bS6AHkH+EeQBut+RHq3vutYo94Cx3v1Ka8KJR2QiCPADAd11+mdG454yCgyWXS3p5otWEV1zKyCDUAzi9AHdXAID3OnTokJYtW6ZVq1Zp06ZN2rt3rzIzM1W+fHmdffbZuvLKK9WxY8dTvt5aq5nvS29Odw5ajJGGDDa6+UbJGKPDhw9r7dq12rx5c/Zj7969kqShQ4eqT58+JfExAQAochs3btTy5cu1ceNGRYTuUHJigqw9oo9mhWv+17XU84YL1avX9SpXrlyh3ysuLk5z5szRypUrtWfPHqWmpioyMlK1a9dWy5Yt1bt3bwUEEAsAb8O/WgAFduWVVyozMzN7OTg4WAEBAYqNjVVsbKyWLl2qdu3aaezYsQoJCcn12sTDVmOft1q23FkODZWeGWF0Ybvjo/E//vijRo8eXSKfBQCAkjRv3jzNmTMnezkoKEgZGcFyuRJ1OHG9ZsxYrzlzPtJLL43XOeecU+D3WbBggcaNG6cjR45IkgIDAxUcHKy9e/dq7969+vnnn3XdddcpIiKi0J8JQMkizAMosMzMTDVv3lzdu3dXmzZtVK1aNUnS7t27NWPGDH311Vf66aefNHbsWD3zzDPZr/t7o9WIkVZ7nEF2RVeVnn/OqG7dE0+rj4yMVKNGjdSgQQM1bNhQEydOVFxcXIl8PgAAikuTJk107733qkWLFqpVq5YiIiKUnGw14pkjWrlyiVzpk3T4cIIefPAxffHFJypTpswZv8eiRYv09NNPy+VyqXPnzurXr58aNWokSUpOTtbmzZu1ZMkSRuUBL2Wstfm6KCc+Pr5YKhAZGVls+4Z3o214vjVr1qhVq1anfP7555/X559/LkmaO3euqlSpok8/lya9bpWR4WxzYVvpySeMypU7MchnZGSccIBx7bXXau/evZxmj1Oi70BeaB84mcCfJiskKUZHy1RXershbq2Ly2U1412rt2f8rMy0YZKk8y8YoZde6KagoPzPJXPgwAH17t1biYmJuummmzRs2LDiqnKpQN+BUymuthEZGXnabZgAD0CB5RXkJalHjx7Z5XXr/tbwp60mvuoEeX8/6Z5BzsQ/JwvykhgpAACUOn5+RgPu8NOYUcdPrV+zJlYDB1tt3Zr/ifE+/vhjJSYmqlKlSho6dGhxVBWAmxHmARSboKCg7PKrkzKz7x9fuZJz27nevYz8/JixHgCA/woM+P34gqmhf/6R7rzb6uM5Vi7X6UP9N998I0nq1q1bru9jAL6DYS8AxWbVqt+yy4cS68n4SW0vkJ56wqh8eUI8AAA5paWl6cCBA1q5cqWmTZsmSapR4yxd2uUizfpISkuXXp1k9fMv0v8ekypWPPl36e7duxUbGytJOvfcc7Vp0ybNnDlTa9eu1eHDhxUZGalzzjlHN998s5o3b15inw9A0SLMAygWa347rEmTZjoLpoVCQmvpnruNrrtWjMYDAJDDJZdcorS0tBPWn3vuuRo5cqSqVg1W+wutRo2x2rtP+nWV1K+/1SPDpE4dT/xO3bFjR3b577//1owZM5SRkaHg4GAFBwdr//79WrhwoRYtWqRBgwbptttuK9bPB6B4cJo9gCKVlmb11tsZunfoSGVmHpAUpAYNh2nGW0Y3XM9p9QAA/FdUVJSioqIUGhqava5169a67777VLVqVUlSi3OM3pludMVlzvOJidLwkVZPjnDpQFzu0+4PHz6cXZ4+fbqioqI0ceJE/fDDD1q4cKFmz56t1q1by1qrKVOm6Mcffyz+DwmgyBHmARSZDX9a9b/Lavr0l+VyrZAkdez0sGZMb6iaZxHiAQA4mblz52r+/Pn64YcfNH/+fN17773avHmzBgwYkH26vSSVKWM0/Ek/jRxulHVb+B+XSn1us5r/jVXWTapcLlf2a1wul5577jm1bdtWfn7OoX/t2rX1wgsvqFKlSpKkt956q4Q+KYCiRJgHUGjJyVYTXnFp8FCrf7a8Kpv5mSSpT59hGjf2agUEEOQBAMiPqKgo3XrrrZo4caL8/Pz09ttva/ny5bm26dLZ6IN3jTp1dJaTkqTnnrca9ojV7j1WYWFh2du2aNFCzZo1O+F9QkNDdf3110uStmzZori4uOL6SACKCWEeQKGsWGnV5zarTz+XMtImy2bOliTde+/9Gjr0JjfXDgAA79SkSROdc45ze7q5c+ee8HxUlNGokX4aM8qoQpSzbtVqqd8dVuv+qJS9Xe3atU/5Hjmf27t3b1FUG0AJYgI8AAUSH2818TWrRYud5cz0SbKZH0qS7r//ft1yyy1urB0AAN4v6zT4Xbt2nXKbDhcbnXeu9PoUq3nzpaNHpdkf15LkLylTxpz67Lis0/Il5bkdAM/EyDyAM+JyWX05z6p3v+NB3k+vZQf5++67jyAPAEARiImJkSSFh4fnuV3ZCKPHH/XTxJeMoqMlY4Jl/FpIklas3Kbk5JPfl3779u2SnCAfHR1ddBUHUCII8wDy7f/+sbrnXqvxL1plTZRbtfJrSjs6S5IzIt+7d2831hAAAM+XmZmZa1T8ZFatWqW//vpLknTeeefla7+tWxnNfNvolpsl/4DukqTY/b/rxpv/0JIfba73PHr0qD7//HNJUtOmTRUZGVmQjwLAjQjzAE4rOdlq0usuDRhoteFPZ12lilL7C17Xrh1OkH/ggQfOeET+zTffVNu2bdW2bVvt3r37pNskJCTkemQdiKSkpORaf/To0YJ/QAAAStC+ffvUp08fzZkzRzt27MgVsvft26eZM2fq0UcflbVWZcuWPen366m+Q0NDjYYM9tOMt7sqLKyxJCkudoT+99RPevixTP37r9X27dv18MMPKzY2Vn5+fho0aFDxf2gARY5r5gGckrVWS5dLr7xqtT/WWefvJ/XsKV3VbZ9uueV9SZKfn59mzpypmTNnnnJft956q2699dYzrkPXrl1Pun769OmaPn169vKAAQM0cODAM94/AADu8M8//+jFF1+UJAUEBKhMmTJKTU1VSkpK9jbVqlXT2LFjVaFChTPef4P6/po9+wX173+vDhzYLlf6MK1YGqwVSwMlJWW/78MPP6zWrVsXyWcCULII8wBOaucuq9cmWa38+fi6pk2kh4cZNahvtHv38VEEl8ulgwcP5rm/5OTk4qoqAABepVKlShozZox+++03/fnnn4qLi1NCQoL8/PxUtWpV1a9fX5dccokuv/xyhYSEFPh9KleupE8/fVcz3/tEn85ZqISEnZJSJROtoOBW6nVzL111Vb2i+2AASpSxp7tg55j4+PhiqUBkZGSx7RvejbbhHkeOWL37ntXHc6SMDGddRIQ06C6jHt0lPz/PmO2W9oFToW0gL7QPnEzgT5MVkhSjo2WqK73dEHdXp9hs2mz12mSrdb8fX3fWWdLAAUYdL/Gc73hPRN+BUymutpGfeSwYmQcgyZmlfv630htvWuXsj67sKg2+2ygyki94AAC8WaOGRq9NlJYukyZPtdq9W9q5Uxox0qp+PWnAHdJF7blNHeAtCPNAKWet1eo10tRpVps2H1/ftIn0wH1GZzfmCx0AAF9hjFGHS6R2baVPP5fe+8AqMVH6v3+kJ56yathAuqWX1KmDFBDAMQDgyQjzQCn2+x9Wb07PfbpdxYrSPXcbXdaFX+YBAPBVQUHOLeyuvkr65FNp9sdWSUnS5i3SM6Os3pgm3XSj1L2bFB7O8QDgiQjzQCm0caPVm29b/fLr8XUhIdLNN0q33mIUFsaXNgAApUF4uNHt/aQbrpPmfCZ9+plVwiFp7z7p1UlWb74lXXaZ1XVXGzVowPEB4EkI80ApYa3V2nXSrI+sfsoxQ31QoHTdtVKf3lwXDwBAaRURYXTHbdItN0vffCfN/sgqZreUclT68ivpy6+sGjeyuvwyo86dpAoVOGYA3I0wD/i4tDSrJUud0+c257gm3t9f6nGVdFsfo0qV+EIGAABSSIjRddc4p9///Iv0xZdWP/0iWStt3CRt3GQ16XWpVUuryzo7199zGj7gHoR5wEfF7Lb68iurr7+REhKOrw8KkrpdId3a26haNF++AADgRP7+Ru0vlNpfaLRnj9VXX1stWCjt2Su5XNKq1dKq1VYvviy1bGl10YXO9gwQACWHMA/4kORkqx+XSt9+b/XbWudX9Czlyzmn019/nVFkeb5oAQBA/kRHG911p9HAAVYb/pS+X2j1ww9SwiEpLd0Zwf/5F6sXJ0iNGlpd1N7oogul+vWZTBcoToR5wMtlZDi3lvtugdXSZVJqau7nmzeTrrnaqFMHKTiYL1QAAFAwxhg1byY1b2Z0/1CrVaulpcusVqyUDsY722zaLG3abDV9hlS5knRBG6vzzzdq3VIqW5bjEKAoEeYBL5SR4Uxmt+RHq6XLpfj43M+XLyd16Sxd1d2ofj2+OAEAQNEKCDBq11Zq19bI5bL6e6O0fKXVypXSP1udbfbHSl99LX31tZUxUuPGVm1aS23ON2rahPvYA4VFmAe8REaG1ZrfjgX4ZdKhxNzPBwVKF10kXXGZ0QVt+IIEAAAlw8/PCedNmxjdfae0e4/V8hXSL79arfvdOWvQWunvv53Hu+9ZhYVJLc+zOr+V0XnnSrVrO/sBkH+EecCDpadbrf5N+mGJ1bLl0uHDuZ/395dat5I6dTTqeIlUpgxfggAAwL2qRRvd1FO6qadRaqrV+g3Sr6usfl0l/d8/zjbJydLyFdLyFc4EP+XLSS1aWJ13rhPu69Qm3AOnQ5gHPEx8gtXPP0srVlr9utr5ssspIEBq01rq2MHoovZcfwYAADxXcLBR61ZS61ZG9wyS4uKcuX5+XW21atXxa+0TDkk/LpV+XOqE+3Jlj4f7c1tI9eoS7oH/IswDbpaRYbVxk7R6jTMT7J9/5Z6FXpICA6UL2jgBvn07KSKCLzMAAOB9KlQwuuJy6YrLjay1+neHtHadtHad1bp1x8P9oURp6TJngj1JKltWatbUqnkz55T+sxtLoaEcD6F0I8wDJSwz02r7v9KaNdLq35xryf47+i5JZcpIbS9w7u96YVspPJwvLAAA4DuMMapdS6pdS7ruGifc78gK97874T7uoLNtYqK08idp5U9OuPf3k+rVt2reVGra1Kh5U6lqVW6Fh9KFMA8UswNxVn/9Jf31t9Vff0sbN508vEtSzbOkC9s5Ab55MyaxKy7WWtn/nv4An+FyueRyudxdDXgo2gdOxvlOcL4bCts+jDEEygIyxqhWLalWLenaY+F+507pt3XSut+t/vxT2rPX2TbTJW3e7Dw+/dz5Tq8QJTVrZtW0iVHjRlKjhgyGwLcZm88j2vj/3vuqiERGRhbbvuHdvK1tJCU5I+5bt0lbt1lt2+aU8/oIFSpIrVtKrVoatWolVanMF05+FaZ9jBs3TuPHjy/iGgEAvNWTF4erUQV/bYrL1JhlRwq1r0cffVSPP/54EdUM/3Ugzgn16zdYbfjTua99evqptz/rLB0L9k7Ab9hACgs78+MtbzsuRckprrYRGRl52m0YmQfyyeWyOpQo7d0r7dwlxcRIu2Ksdh0rJxzK+/XGODOznn22dHZjZzKXWjU5HQwAACC/KlYw6nCJ1OES5/gpLc1q8xZpw5/Shg1W6/+U4uKOb79zp/NYsNAZvzRGqnmWVcOGUp3azmn+depI1aIlf3+OyeBdCPMo9ay1OnRIOhDndP4H4qQDB5zZVrPLB53nMjLyt8+gQOd+qXXqSHXrGJ3d2PlVuCC/BAMAAODkgoKMmjWVmjWVdJNzan5srDNiv3GTPfZXSkhwtrdW+neH85Bsjv1ItWpa1a4t1appVC1aij72qBBV8p8LyA/CPHyWtVaJibkDuhPYc4T0OCeo53V6Vl4qVJBqVJdq1JBqVDc6q4ZUt45UrRrXuwMAAJQ0Y4wqV5YqV5Yuvsg5FrPWat9+J+Bv2uTcReifrblH8NPSpC3/5zxyhnzJCfo1qieoUiWXqlZxZuSvUMEJ+VHHHhWipMBAjv1Qsgjz8DoulxPSD8YfC+o5Q/qB3CPsBQ3pkhQeLlWsIFWs6HTQFSs6p3ZVquSE9+rVGGkHAADwdMYYVa0iVa0idbj4+LFbYqLVtu3S9n+lbdud+Y62bz8+g36WtDRp67ZMbd2WtebkU46VLWudcB8plSt37FFWKlfOqHy54+uyyiEhXG6JwmECPJQ4a63S0qSUlByPo7mXDydJqakh2rM3RQkJyn7EJzi3JinMRLNhYTlCeoWssskR2J313LvUsxWm72A2e9/G9wryQvvAyQT9/LpCj8QoJby60treU6h9MZu990tOttqzV9qzR9q9R9qzxyruYKD+3ZGuffukpKSieZ+gIOUK+cfDv1S+nFFEhI4/yji3LY6IcC4tgOdgAjx4rIwMq6M5gnZyirKXk1P+E8hT7AmhPOd2R3Osy8xXGE85o7qGhkgVKx0P49khvULuEXZG08GBlm/z8/OTn5+fu6sBD0X7wMk43wnOdwPtA2FhRvXqSvXqZq0xiowsmx3Y0tJs9hmiBw86I/kHD0oHD1rFxTmTIicckg4dcgahTiUtTdof6zxOdOpBh+Bgmx3sI8ocexwL/c56kx3+y5RxBrLCQp2/oaHOGQFM9ucbfDbMu1zOKddZ/wyO3T70ePnYYvbgnD31+qzX5NzXCc/n3O+x97KSXJmSyzojyfbY36xyZmbudS4rWVfuZZfr2Lpjz2XmXM75OMm6rNFrl8t5r7Q0q9RUp+NIS5NS03KUU5UrtB896oTwtLQi+h9SQGXKSOXLS5HlnV8uy5fPehhFRh4P6RUrENIBAEABBYTk/gvkISjo+Gn7uZ14LJqRYXU4yQn2h3KEfOdhT7o+6TR3R0xNdR45r/nP7fRnHwYH2+xwHxrqhP2sv8HBUmCgc+bA8Yf5z/KxR47t/P2dh5+f5O8n+f132e/Ysr+zbMyxmtrcOepU6/6b506W5U62LihIio72zZzgk2E+I8Oq/0Cb47oWlAQ/v+Mdwn87hpCQ3Muhoeb4diEnviYsTKpVO1JHkhLc/bEAAICPy2hwmcy+SGVUae3uqsDHBAQYRZZ3BqZOdPKAmZ7uzA91OEk6fNh5JGWVk6TDSTZ7ffZzx55PTs5fvbJ+EMj/2eHefXnizTda3TvE98668ckwn5Ii7Ypxdy08U3Dw8V/PcpWDnMAdEpIzcJ8+dOdcDgoq2kk8ggKNTvPDJAAAQKHZ8jXlX6eFLPMpwAMEBh6bLb/CqbY49fF2RobVkSO5Q/6Jl7/aXJfLJifnLqelSWnpx8/gTUvLMdrtpfbuc3cNiodPhvmICKPp06Tf/3BO38jKl0bHyyrm9Vnv63fsFBI/f8nv2HL2Or/cy/5+kvE7tp1/jm2y9nOsbHKskzm+zug/63I8/P2d02W4ThgAAADwTQEBJnsyvVM7szxgrVVGRo5w/5+gn/XIyHQuMc7MPHaZb9alw5nHL/vNtc4eyyo5qpSdX3JU9XR5LnvRnHxdcLB0QZsz+shewyfDvCTVqW1Up7a7awEAAAAA3ssYo8BAZ2AwPNzdtUFOvnfhAAAAAAAAPo4wDwAAAACAlyHMAwAAAADgZQjzAAAAAAB4GcI8AAAAAABehjAPAAAAAICXIcwDAAAAAOBlCPMAAAAAAHgZwjwAAAAAAF6GMA8AAAAAgJchzAMAAAAA4GUI8wAAAAAAeBnCPAAAAAAAXoYwDwAAAACAlyHMAwAAAADgZQjzAAAAAAB4GWOtte5688OHD2vNmjVq1aqVIiIi3FUNeCDaBvJC+8Cp0DaQF9oHToW2gbzQPnAq7m4bbh2ZT0pK0o8//qikpCR3VgMeiLaBvNA+cCq0DeSF9oFToW0gL7QPnIq72wan2QMAAAAA4GUI8wAAAAAAeBm3hvkyZcqoQ4cOKlOmjDurAQ9E20BeaB84FdoG8kL7wKnQNpAX2gdOxd1tw60T4AEAAAAAgDPHafYAAAAAAHgZwjwAAAAAAF6GMA8AAAAAgJchzAMAAAAA4GUI8wAAAAAAeJmAwu4gNjZWK1eu1IYNG7Rhwwb9/fffSklJUfXq1bV48eJC7Xvfvn16/fXXtWzZMsXGxioiIkKtWrXSgAEDdO655xa26ihmxdE2fvnlF/Xr1y/PbVq0aKGPP/64QPtHydm0aZMWLVqk1atXa/PmzUpISFBwcLBq166tTp06qW/fvipXrlyB9k3f4d2Ko23Qd/iOJUuWaOnSpfrzzz+1Z88excfHy9/fX1WrVlWbNm3Ur18/1a9fv0D7pu/wbsXRNug7fNeePXvUvXt3HTlyRJK0aNEi1ahR44z3Q7/hmwrbPkqq7yh0mP/66681duzYwu7mBH/99Zduu+02JSYmKjQ0VA0aNFBsbKy+//57LVq0SKNGjdINN9xQ5O+LolNcbUOSgoKC1KxZs5M+16BBg2J5TxSdHTt26Oqrr85erly5sho1aqTY2NjsH39mz56t6dOnq1GjRme0b/oO71acbUOi7/AF77zzjn766ScFBASoUqVKatiwoRITE7Vz505t27ZNn376qcaMGaNrr732jPZL3+H9iqttSPQdvmj48OHZQa2g6Dd8V1G0D6n4+45Ch/kyZcqoXbt2atasmZo1a6Y9e/Zo3LhxhdpnamqqhgwZosTERF144YWaMGGCypcvL2ut3n//fY0ePVojRoxQixYtCvzrO4pfcbSNLJUqVdKsWbOKZF8oedZaRUVF6dZbb9U111yjs846K/u5NWvW6JFHHlFMTIyGDBmi+fPnKygoKF/7pe/wfsXVNrLQd3i/a6+9VgMHDlSrVq0UEhKSvX7fvn0aNWqUFixYoOHDh6tNmzaqVq1avvZJ3+EbiqNtZKHv8C2ffvqpli1bpssvv1zff/99gfZBv+G7iqJ9ZCnuvqPQ18z37NlT77zzjh5++GF17dpVlStXLnSlPvnkE+3evVvh4eF6+eWXVb58eUmSMUZ9+/bVVVddpYyMDE2ePLnQ74XiUxxtA76hatWqWrRokYYOHZorrElSq1at9MILL0iSdu7cqWXLluV7v/Qd3q+42gZ8x7XXXqv27dvnCmuSVKVKFb300ksqW7as0tLStGTJknzvk77DNxRH24Dv2b9/v8aNG6fq1avrvvvuK/B+6Dd8U1G1j5LikRPgffPNN5Kkbt26KTIy8oTne/XqJUlavHixUlJSSrRuAAovODhYYWFhp3y+VatWioiIkCT9888/+d4vfYf3K662gdIhODg4+0eg1NTUfL+OvsP3FbRtwPeMHDlSiYmJevbZZxUaGlrg/dBv+Kaiah8lpdCn2Re1zMxM/fHHH5Kk888//6TbtGjRQoGBgTp69Kj+/vtvtWzZsiSrCA+QlJSkESNGaOfOnfL391eNGjV0ySWXqFOnTjLGuLt6KKTMzExlZGRIUp7B7r+voe/wfQVpGznRd/i2gwcPauvWrZKk5s2b5+s19B2lQ0HaRk70Hb5h3rx5WrRoka6++mpddNFF2rVrV4H2Q7/hm4qqfeRU3H2Hx4X53bt3Ky0tTZJUs2bNk24TFBSk6Oho7dixQ9u2beMfRyl06NAhffTRR7nWzZo1S82bN9drr72m6OhoN9UMRWHBggXZv2K3adMmX6+h7ygdCtI2cqLv8E0HDx7U+vXrNXHiRKWkpOiqq65S69at8/Va+g7fVpi2kRN9h/c7ePCgRo8ercjISD3xxBOF2hf9hu8pyvaRU3H3HR4X5hMSErLLed16KOu5xMTE4q4SPEhISIh69Oihq666SvXr11flypUVHx+vxYsXa+LEiVq/fr369++vOXPmKDw83N3VRQEcOnRIzz//vCSpc+fOatiwYb5eR9/h+wraNiT6Dl+0cOFCDRkyJNe6GjVq6Nlnn9VNN92U7/3Qd/ieomobEn2HL3n22WcVHx+vF154QVFRUYXaF/2G7ynK9iGVXN/hcWE+53VMec1SHBwcLElcg1LKtGjRQi1atMi1rkqVKrrlllvUtm1b3XDDDdq6davef/993X333W6qJQoqIyNDDzzwgHbv3q2oqCiNHDky36+l7/BthWkbEn2HLypfvrxatmwpa63279+vvXv3KiYmRvPmzVPr1q1Vr169fO2HvsP3FFXbkOg7fMXChQv1zTff6KKLLsp1+9OCot/wLUXdPqSS6zs8bgK8rEYvKfv0lZPJ+kfkDRMToGTUqVMne7KR7777zs21wZlyuVx69NFHtXLlSoWHh2vq1KlndAcE+g7fVdi2cTr0Hd6pdevWmjVrlmbPnq3FixdryZIluv766/Xrr7/qpptuUkxMTL72Q9/he4qqbZwOfYd3OHTokEaOHKmwsDA988wzRbJP+g3fURzt43SKsu/wuDCf81SVnKew/NehQ4ckSWXLli3uKsGLtGrVSpK0fft291YEZ8RaqyeffFJff/21wsLCNG3atBN+zTwd+g7fVBRtIz/oO7xf5cqV9dxzz6l9+/ZKSkrS1KlT8/U6+g7fV9C2kR/0HZ5v/Pjxio2N1f33368aNWoUyT7pN3xHcbSP/CiqvsPjTrOvXr26goKClJaWph07dmR/0JzS0tK0Z88eSc4vG0CWwMBAScqe7Rqez1qr4cOH67PPPlNoaKimTp1aoMmJ6Dt8T1G1jfyg7/Adl156qVasWKENGzbka3v6jtLjTNtGftB3eL6s/99vvPGG3nzzzVzPZWZmZpd79uwpf39/devWTU899VSe+6Tf8B3F0T7yo6j6Do8bmff398++ZciqVatOus3vv/+u9PR0hYSE6Oyzzy7J6sHDbdmyRZKYVdaLPPPMM/rkk08UEhKiKVOm6IILLijQfug7fE9RtY38oO/wHVkHRjkPwvJC31F6nGnbyA/6Du9x8OBBHThwINcjPj4++/n4+HgdOHBASUlJp90X/YbvKcr2kR9F1Xd43Mi8JHXr1k1r1qzRt99+q0ceeUSRkZG5np89e7YkqWPHjlyDgmxJSUn64IMPJEnt27d3c22QH6NHj9asWbMUHBys119/Xe3atSvU/ug7fEdRt4280Hf4Dmtt9vWHTZs2zffr6Dt8X0HbRl7oO7zDF198ccrndu3apc6dO0uSFi1adEanWdNv+Ibiah95Kcq+w20j888//7wuvfRSPfjggyc8d+ONNyo6OlpHjhzRsGHDsq9Fsdbqvffe07x58xQQEHDCbUfgG/JqG/fdd5+WLl16wikpW7ZsUf/+/RUTE6Pw8HANGDCgpKqLAho/frzee++97LCW386MvsP3FUfboO/wDevXr9eECRO0devWE56LiYnRgw8+qN9++03+/v7q27dvrufpO3xbcbUN+o7SjX4DefGEvqPQI/N79uzRtddem72cnp6evT7nKZEtW7bUlClTspfj4+MVExOj6tWrn7DPkJAQvfbaa7rjjju0cuVKdezYUXXr1lVsbKz2798vPz8/jRw58ozuMYySVxxtY+XKlfruu+8UHBysmjVrKiwsTHFxcdq1a5ck53Y0r7zyyklfC8+xdu1aTZ8+XZJUpkwZTZ48WZMnTz7pth06dNCgQYOyl+k7fFtxtQ36Dt+QnJysqVOnaurUqSpfvryqVaumwMBAxcXFKSYmRtZahYWFacyYMWrSpEmu19J3+Lbiahv0HaUb/Qby4gl9R6HDfGZm5klncXS5XLnWn+n1Bc2bN9dXX32lKVOmaNmyZdq8ebMiIiLUpUsX3XnnnTrvvPMKWXMUt+JoGw8//LBWrVqljRs3KjY2VklJSQoNDVXz5s3VoUMH9e7dWxUqVCiC2qM45byNS1xcnOLi4k65ba1atc5o3/Qd3q242gZ9h29o3Lixhg8frl9//VWbNm3Szp07lZKSojJlyqhFixZq166devXqpapVq57xvuk7vFtxtQ36DuSFfgOnUlJ9h7HW2iKoLwAAAAAAKCEeN5s9AAAAAADIG2EeAAAAAAAvQ5gHAAAAAMDLEOYBAAAAAPAyhHkAAAAAALwMYR4AAAAAAC9DmAcAAAAAwMsQ5gEAAAAA8DKEeQAAAAAAvAxhHgAAAAAAL0OYBwAAAADAyxDmAQAAAADwMoR5AAAAAAC8zP8DKN1uGOVi7sAAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -7288,7 +4295,7 @@
     "Across several examples, we have shown that fitting a full joint model distorts the treatment effect estimate relative to a two-step (modular) approach.\n",
     "In other cases, joint and modular approaches yield nearly identical estimates — usually when the outcome is well-identified from covariates alone. With these observations in scope, we recommend that practitioners generally follow a two-step or modular approach. Either two-stage inverse propensity score weighting or regression adjustment with the propensity score as an additional covariate. Both methods are available now in `CausalPy`. \n",
     "\n",
-    "Framed this way we can see that joint model violates the temporal precedence of the treatment assignment and outcome process. The 2-stage Bayesian procedures ensure that the causal ordering encoded in the actual data generating process is respected in the estimation process. The confounding adjustment achieved with propensity score must occur without access to information about the outcome. A well-specified propensity score model can substantially improve causal estimates (as we've seen), especially when the outcome model is weak or mis-specified. This allows for a form of __doubly-robust inference__. Propensity scores do not only serve to reduce dimensionality; they formalize the treatment mechanism and encode information that the outcome model might fail to recover. This explains their continued prominence in modern causal inference and usefulness in the Bayesian setting.\n",
+    "Framed this way we can see that joint model violates the temporal precedence of the treatment assignment and outcome process. The 2-stage Bayesian procedures ensure that the causal ordering encoded in the actual data generating process is respected in the estimation process. The confounding adjustment achieved with propensity score must occur without access to information about the outcome. A well-specified propensity score model can substantially improve causal estimates (as we've seen), especially when the outcome model is weak or mis-specified. This allows for a form of __doubly-robust inference__ as discussed in {cite:p}`aronowFoundations` and {cite:p}`liBayesianProp`. Propensity scores do not only serve to reduce dimensionality; they formalize the treatment mechanism and encode information that the outcome model might fail to recover. This explains their continued prominence in modern causal inference and usefulness in the Bayesian setting.\n",
     "\n",
     "### References\n",
     ":::{bibliography}\n",
@@ -7305,14 +4312,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: Sun Jul 13 2025\n",
+      "Last updated: Fri Jul 18 2025\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.13.5\n",
@@ -7321,13 +4328,13 @@
       "pytensor: 2.31.7\n",
       "xarray  : 2025.7.0\n",
       "\n",
-      "causalpy  : 0.4.2\n",
+      "patsy     : 1.0.1\n",
       "pymc      : 5.23.0\n",
       "numpy     : 2.3.1\n",
+      "causalpy  : 0.4.2\n",
+      "pandas    : 2.3.1\n",
       "matplotlib: 3.10.3\n",
       "arviz     : 0.21.0\n",
-      "pandas    : 2.3.1\n",
-      "patsy     : 1.0.1\n",
       "\n",
       "Watermark: 2.5.0\n",
       "\n"
diff --git a/docs/source/references.bib b/docs/source/references.bib
index 181a6777..4be92386 100644
--- a/docs/source/references.bib
+++ b/docs/source/references.bib
@@ -177,3 +177,12 @@ @article{hill2020limitations
   year={2020},
   publisher={Sage Publications Sage CA: Los Angeles, CA}
 }
+
+@book{Hernan2024-HERCIW,
+	address = {Boca Raton},
+	author = {Miguel A. Hernan},
+	editor = {James M. Robins},
+	title = {Causal Inference: What If},
+	year = {2024},
+  publisher = {CRC Press TBC}
+}

From 2970854be163b75c8b081afc5559ed30dd716fe1 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sun, 6 Jul 2025 14:20:47 +0100
Subject: [PATCH 25/31] add new data set

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/data/PISA18sampleScale.csv | 101 ++++++++++++++++++++++++++++
 causalpy/data/datasets.py           |   1 +
 2 files changed, 102 insertions(+)
 create mode 100644 causalpy/data/PISA18sampleScale.csv

diff --git a/causalpy/data/PISA18sampleScale.csv b/causalpy/data/PISA18sampleScale.csv
new file mode 100644
index 00000000..864fc622
--- /dev/null
+++ b/causalpy/data/PISA18sampleScale.csv
@@ -0,0 +1,101 @@
+PV1READ,Female,ESCS,METASUM,PERFEED,JOYREAD,MASTGOAL,ADAPTIVITY,TEACHINT,SCREADDIFF,SCREADCOMP
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diff --git a/causalpy/data/datasets.py b/causalpy/data/datasets.py
index a1504d06..1c891c75 100644
--- a/causalpy/data/datasets.py
+++ b/causalpy/data/datasets.py
@@ -37,6 +37,7 @@
     "risk": {"filename": "AJR2001.csv"},
     "nhefs": {"filename": "nhefs.csv"},
     "schoolReturns": {"filename": "schoolingReturns.csv"},
+    "pisa18": {"filename": "PISA18sampleScale.csv"},
 }
 
 

From e6f6a53ca7be1bd24de73b849711fbee4245ce9f Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sat, 19 Jul 2025 06:15:39 +0100
Subject: [PATCH 26/31] add reference

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 2 +-
 docs/source/references.bib                  | 8 ++++++++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 129a9216..f43aea33 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -1405,7 +1405,7 @@
     "\n",
     "### The Problem of Feedback\n",
     "\n",
-    "The issue here is sometimes called Bayesian feedback or \"collider bias via the likelihood\", and it's a key issue when trying to build joint models for causal inference in the Bayesian paradigm. Because we have fit the outcome and the treatment models simultaneously, and this means that the outcome can influence the posterior distribution of the parameters $\\beta$ in the treatment model and it violates the idea of design-before-analysis. We have here an apparent example of a slight bias due to this effect.  The two stage modular approach seems to better recover the treatment effect reported in the literature and avoids the risk of collider bias i.e. in the modular implementation we are able to use the propensity score to adjust for accuracy and compensate for the missing variables `x2` and `x1`. \n",
+    "The issue here is sometimes called Bayesian feedback or \"collider bias via the likelihood\" {cite:p}`GriffithCollider`, and it's a key issue when trying to build joint models for causal inference in the Bayesian paradigm. Because we have fit the outcome and the treatment models simultaneously, and this means that the outcome can influence the posterior distribution of the parameters $\\beta$ in the treatment model and it violates the idea of design-before-analysis. We have here an apparent example of a slight bias due to this effect.  The two stage modular approach seems to better recover the treatment effect reported in the literature and avoids the risk of collider bias i.e. in the modular implementation we are able to use the propensity score to adjust for accuracy and compensate for the missing variables `x2` and `x1`. \n",
     "\n",
     "\n",
     "**💡 Key Take-away:** With an underspecified outcome model, we may use a well specified propensity score for adjusting the model to retrieve accurate treatment effect estimates. However, this tends to breakdown if we have estimated both propensity score and outcome in a joint bayesian model due to feedback effects. The solution is to use the propensity score in a 2 stage fashion. \n",
diff --git a/docs/source/references.bib b/docs/source/references.bib
index 4be92386..207d0e21 100644
--- a/docs/source/references.bib
+++ b/docs/source/references.bib
@@ -186,3 +186,11 @@ @book{Hernan2024-HERCIW
 	year = {2024},
   publisher = {CRC Press TBC}
 }
+
+@article{GriffithCollider,
+  title={Collider bias undermines our understanding of COVID-19 disease risk and severity},
+  author={Griffith, G. J. and  Morris, T. T. and Tudball, M. J. and Herbert, A. and Mancano, G. and Pike, L. and Sharp, G. C. and Sterne, J. and Palmer, T. M. and Davey Smith, G. and Tilling, K. and Zuccolo, L. and Davies, N. M. and & Hemani, G.},
+  journal={Nature communications},
+  year={2020},
+  publisher={Nature}
+}

From 2da300714faa54f35949d057b721541832b67d59 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sat, 19 Jul 2025 07:28:42 +0100
Subject: [PATCH 27/31] add simple regression to highlight effect of prop
 score,

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 1521 ++++++++++++-------
 1 file changed, 976 insertions(+), 545 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index f43aea33..59556815 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -217,7 +217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -275,7 +275,7 @@
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        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node6\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
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@@ -297,7 +297,7 @@
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        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
+       "<g id=\"node3\" class=\"node\">\n",
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@@ -305,58 +305,58 @@
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        "</g>\n",
        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge14\" class=\"edge\">\n",
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-       "<polygon fill=\"black\" stroke=\"black\" points=\"264.93,-223.77 266.08,-213.23 258.61,-220.75 264.93,-223.77\"/>\n",
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+       "<title>T</title>\n",
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+       "<title>t_pred&#45;&gt;T</title>\n",
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@@ -367,7 +367,7 @@
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-       "<g id=\"edge7\" class=\"edge\">\n",
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@@ -465,7 +465,7 @@
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@@ -600,7 +600,7 @@
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   {
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+   "execution_count": 5,
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       ],
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      "metadata": {},
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@@ -892,6 +892,59 @@
     "pm.model_to_graphviz(model_treatment)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Specifying a Simple Regression Model without Propensity Scores\n",
+    "\n",
+    "Now we specify a simple regression model which does not make use of the propensity score information. This model will be used to assess how much extra information is gleaned from the presence of the propensity score as covariate in our outcome model. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_reg_model(\n",
+    "    X_outcome,\n",
+    "    Y_data,\n",
+    "    coords,\n",
+    "    priors={\n",
+    "        \"beta_\": [0, 1],\n",
+    "        \"alpha_outcome\": [0, 1],\n",
+    "        \"sigma\": 1,\n",
+    "    },\n",
+    "    noncentred=True,\n",
+    "):\n",
+    "    with pm.Model(coords=coords) as reg_model:\n",
+    "        X_data_outcome = pm.Data(\"X_outcome\", X_outcome, dims=(\"obs\", \"betas\"))\n",
+    "        Y_data_ = pm.Data(\"Y\", Y_data, dims=\"obs\")\n",
+    "\n",
+    "        if noncentred:\n",
+    "            mu_beta, sigma_beta = priors[\"beta_\"]\n",
+    "            beta_std = pm.Normal(\"beta_std\", 0, 1, dims=\"betas\")\n",
+    "            beta = pm.Deterministic(\n",
+    "                \"beta_\", mu_beta + sigma_beta * beta_std, dims=\"betas\"\n",
+    "            )\n",
+    "        else:\n",
+    "            beta = pm.Normal(\n",
+    "                \"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\"\n",
+    "            )\n",
+    "        alpha_outcome = pm.Normal(\n",
+    "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
+    "        )\n",
+    "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta)\n",
+    "        sigma = pm.HalfNormal(\"sigma\", priors[\"sigma\"])\n",
+    "\n",
+    "        _ = pm.Normal(\"like\", mu_outcome, sigma, observed=Y_data_, dims=\"obs\")\n",
+    "\n",
+    "        idata = pm.sample(**sampler_kwargs)\n",
+    "\n",
+    "    return reg_model, idata"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -919,7 +972,7 @@
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    "cell_type": "code",
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+   "execution_count": 7,
    "metadata": {
     "tags": [
      "hide-output"
@@ -940,7 +993,7 @@
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        "version_major": 2,
        "version_minor": 0
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@@ -973,7 +1026,7 @@
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      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 74 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 75 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -985,7 +1038,7 @@
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@@ -1031,22 +1084,6 @@
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-     "output_type": "stream",
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-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
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@@ -1073,7 +1110,7 @@
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@@ -1098,7 +1135,7 @@
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      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 17 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -1108,7 +1145,7 @@
     {
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@@ -1119,14 +1156,40 @@
      "metadata": {},
      "output_type": "display_data"
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+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 36 seconds.\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_std, alpha_outcome, sigma]\n"
      ]
     },
+    {
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+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
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@@ -1141,7 +1204,7 @@
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      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 35 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
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@@ -1175,17 +1238,19 @@
     "    outcome_model_joint_spline,\n",
     ") = make_2step_model(\n",
     "    X_trt, X_outcome, T_data, Y_data, coords, priors, spline_component=True\n",
-    ")"
+    ")\n",
+    "\n",
+    "reg_model, idata_outcome_simple_reg = make_reg_model(X_outcome, Y_data, coords)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1196,9 +1261,14 @@
    ],
    "source": [
     "ax = az.plot_forest(\n",
-    "    [idata_outcome_2s_joint, idata_outcome_2s_joint_spline, idata_joint],\n",
+    "    [\n",
+    "        idata_outcome_2s_joint,\n",
+    "        idata_outcome_2s_joint_spline,\n",
+    "        idata_joint,\n",
+    "        idata_outcome_simple_reg,\n",
+    "    ],\n",
     "    var_names=[\"beta_\"],\n",
-    "    model_names=[\"2 Stage\", \"2 Stage + Spline\", \"1 Stage\"],\n",
+    "    model_names=[\"2 Stage\", \"2 Stage + Spline\", \"1 Stage\", \"Simple Regression\"],\n",
     "    combined=True,\n",
     "    figsize=(10, 5),\n",
     ")\n",
@@ -1209,7 +1279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "metadata": {
     "tags": [
      "hide-input"
@@ -1252,105 +1322,130 @@
        "      <td>0.000</td>\n",
        "      <td>0.021</td>\n",
        "      <td>-0.039</td>\n",
-       "      <td>0.040</td>\n",
+       "      <td>0.041</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
        "      <td>2.308</td>\n",
        "      <td>0.057</td>\n",
-       "      <td>2.200</td>\n",
-       "      <td>2.417</td>\n",
+       "      <td>2.201</td>\n",
+       "      <td>2.415</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
        "      <td>1.290</td>\n",
-       "      <td>0.069</td>\n",
-       "      <td>1.163</td>\n",
-       "      <td>1.419</td>\n",
+       "      <td>0.070</td>\n",
+       "      <td>1.155</td>\n",
+       "      <td>1.416</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-15.289</td>\n",
-       "      <td>0.288</td>\n",
-       "      <td>-15.853</td>\n",
-       "      <td>-14.781</td>\n",
+       "      <td>-15.286</td>\n",
+       "      <td>0.289</td>\n",
+       "      <td>-15.824</td>\n",
+       "      <td>-14.746</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.507</td>\n",
-       "      <td>0.159</td>\n",
-       "      <td>8.209</td>\n",
-       "      <td>8.807</td>\n",
+       "      <td>8.505</td>\n",
+       "      <td>0.160</td>\n",
+       "      <td>8.219</td>\n",
+       "      <td>8.811</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.922</td>\n",
-       "      <td>0.184</td>\n",
-       "      <td>1.561</td>\n",
-       "      <td>2.251</td>\n",
+       "      <td>1.931</td>\n",
+       "      <td>0.186</td>\n",
+       "      <td>1.569</td>\n",
+       "      <td>2.265</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.111</td>\n",
-       "      <td>0.042</td>\n",
-       "      <td>1.037</td>\n",
-       "      <td>1.191</td>\n",
+       "      <td>1.143</td>\n",
+       "      <td>0.041</td>\n",
+       "      <td>1.068</td>\n",
+       "      <td>1.217</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.048</td>\n",
-       "      <td>0.060</td>\n",
-       "      <td>2.936</td>\n",
-       "      <td>3.160</td>\n",
+       "      <td>3.042</td>\n",
+       "      <td>0.061</td>\n",
+       "      <td>2.928</td>\n",
+       "      <td>3.154</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
        "      <td>-3.995</td>\n",
-       "      <td>0.203</td>\n",
-       "      <td>-4.371</td>\n",
-       "      <td>-3.602</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>-4.385</td>\n",
+       "      <td>-3.607</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model_spline</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.750</td>\n",
-       "      <td>0.180</td>\n",
-       "      <td>1.412</td>\n",
-       "      <td>2.089</td>\n",
+       "      <td>1.828</td>\n",
+       "      <td>0.177</td>\n",
+       "      <td>1.506</td>\n",
+       "      <td>2.168</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.147</td>\n",
-       "      <td>0.040</td>\n",
-       "      <td>1.072</td>\n",
-       "      <td>1.223</td>\n",
+       "      <td>1.171</td>\n",
+       "      <td>0.039</td>\n",
+       "      <td>1.100</td>\n",
+       "      <td>1.247</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.031</td>\n",
-       "      <td>0.301</td>\n",
-       "      <td>0.469</td>\n",
-       "      <td>1.605</td>\n",
+       "      <td>0.981</td>\n",
+       "      <td>0.297</td>\n",
+       "      <td>0.437</td>\n",
+       "      <td>1.556</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.009</td>\n",
+       "      <td>-0.011</td>\n",
        "      <td>1.015</td>\n",
-       "      <td>-1.993</td>\n",
-       "      <td>1.898</td>\n",
+       "      <td>-1.920</td>\n",
+       "      <td>1.878</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">Simple Regression</th>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>-1.308</td>\n",
+       "      <td>0.085</td>\n",
+       "      <td>-1.464</td>\n",
+       "      <td>-1.142</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[x1]</th>\n",
+       "      <td>1.107</td>\n",
+       "      <td>0.044</td>\n",
+       "      <td>1.025</td>\n",
+       "      <td>1.188</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>2.665</td>\n",
+       "      <td>0.060</td>\n",
+       "      <td>2.547</td>\n",
+       "      <td>2.776</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1359,22 +1454,25 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model        alpha_trt       0.000  0.021  -0.039    0.040    1.0\n",
-       "                     beta_[trt]      2.308  0.057   2.200    2.417    1.0\n",
-       "                     beta_[x1]       1.290  0.069   1.163    1.419    1.0\n",
-       "                     beta_ps       -15.289  0.288 -15.853  -14.781    1.0\n",
-       "                     alpha_outcome   8.507  0.159   8.209    8.807    1.0\n",
-       "2-stage-model        beta_[trt]      1.922  0.184   1.561    2.251    1.0\n",
-       "                     beta_[x1]       1.111  0.042   1.037    1.191    1.0\n",
-       "                     alpha_outcome   3.048  0.060   2.936    3.160    1.0\n",
-       "                     beta_ps        -3.995  0.203  -4.371   -3.602    1.0\n",
-       "2-stage-model_spline beta_[trt]      1.750  0.180   1.412    2.089    1.0\n",
-       "                     beta_[x1]       1.147  0.040   1.072    1.223    1.0\n",
-       "                     alpha_outcome   1.031  0.301   0.469    1.605    1.0\n",
-       "                     beta_ps        -0.009  1.015  -1.993    1.898    1.0"
+       "1-stage-model        alpha_trt       0.000  0.021  -0.039    0.041    1.0\n",
+       "                     beta_[trt]      2.308  0.057   2.201    2.415    1.0\n",
+       "                     beta_[x1]       1.290  0.070   1.155    1.416    1.0\n",
+       "                     beta_ps       -15.286  0.289 -15.824  -14.746    1.0\n",
+       "                     alpha_outcome   8.505  0.160   8.219    8.811    1.0\n",
+       "2-stage-model        beta_[trt]      1.931  0.186   1.569    2.265    1.0\n",
+       "                     beta_[x1]       1.143  0.041   1.068    1.217    1.0\n",
+       "                     alpha_outcome   3.042  0.061   2.928    3.154    1.0\n",
+       "                     beta_ps        -3.995  0.207  -4.385   -3.607    1.0\n",
+       "2-stage-model_spline beta_[trt]      1.828  0.177   1.506    2.168    1.0\n",
+       "                     beta_[x1]       1.171  0.039   1.100    1.247    1.0\n",
+       "                     alpha_outcome   0.981  0.297   0.437    1.556    1.0\n",
+       "                     beta_ps        -0.011  1.015  -1.920    1.878    1.0\n",
+       "Simple Regression    beta_[trt]     -1.308  0.085  -1.464   -1.142    1.0\n",
+       "                     beta_[x1]       1.107  0.044   1.025    1.188    1.0\n",
+       "                     alpha_outcome   2.665  0.060   2.547    2.776    1.0"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1392,6 +1490,10 @@
     "            idata_outcome_2s_joint_spline,\n",
     "            var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"],\n",
     "        ),\n",
+    "        \"Simple Regression\": az.summary(\n",
+    "            idata_outcome_simple_reg,\n",
+    "            var_names=[\"beta_\", \"alpha_outcome\"],\n",
+    "        ),\n",
     "    }\n",
     ")\n",
     "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
@@ -1401,10 +1503,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Here the models fail to recover substantially similar and correct results. However the 2-stage models seem to perform better. This is interesting and demonstrates a key property of propensity scores in the Bayesian setting. \n",
+    "Here the models fail to recover substantially similar and correct results, in particular the simple regression model is widely off. However the 2-stage models seem to perform better. This is interesting and demonstrates a key property of propensity scores in the Bayesian setting. Propensity scores are useful correctives within a regression context but we need to be careful how the model is specified.\n",
     "\n",
     "### The Problem of Feedback\n",
-    "\n",
     "The issue here is sometimes called Bayesian feedback or \"collider bias via the likelihood\" {cite:p}`GriffithCollider`, and it's a key issue when trying to build joint models for causal inference in the Bayesian paradigm. Because we have fit the outcome and the treatment models simultaneously, and this means that the outcome can influence the posterior distribution of the parameters $\\beta$ in the treatment model and it violates the idea of design-before-analysis. We have here an apparent example of a slight bias due to this effect.  The two stage modular approach seems to better recover the treatment effect reported in the literature and avoids the risk of collider bias i.e. in the modular implementation we are able to use the propensity score to adjust for accuracy and compensate for the missing variables `x2` and `x1`. \n",
     "\n",
     "\n",
@@ -1415,7 +1516,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1468,13 +1569,21 @@
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        "</g>\n",
        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
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        "</g>\n",
-       "<!-- spline_features -->\n",
+       "<!-- Y -->\n",
        "<g id=\"node2\" class=\"node\">\n",
+       "<title>Y</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M232,-98C232,-98 202,-98 202,-98 196,-98 190,-92 190,-86 190,-86 190,-52.5 190,-52.5 190,-46.5 196,-40.5 202,-40.5 202,-40.5 232,-40.5 232,-40.5 238,-40.5 244,-46.5 244,-52.5 244,-52.5 244,-86 244,-86 244,-92 238,-98 232,-98\"/>\n",
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+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"217\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"217\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
+       "</g>\n",
+       "<!-- spline_features -->\n",
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@@ -1482,55 +1591,55 @@
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        "</g>\n",
        "<!-- spline_features&#45;&gt;like -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
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        "<!-- like&#45;&gt;Y -->\n",
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        "<title>like&#45;&gt;Y</title>\n",
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+       "</g>\n",
        "<!-- beta_std&#45;&gt;beta_ -->\n",
        "<g id=\"edge2\" class=\"edge\">\n",
        "<title>beta_std&#45;&gt;beta_</title>\n",
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-       "<!-- sigma -->\n",
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+       "<g id=\"edge6\" class=\"edge\">\n",
+       "<title>beta_&#45;&gt;like</title>\n",
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        "<g id=\"node7\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
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+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
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@@ -1538,19 +1647,11 @@
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        "<title>alpha_outcome</title>\n",
@@ -1560,7 +1661,7 @@
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@@ -1583,10 +1684,10 @@
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       ],
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-       "<graphviz.graphs.Digraph at 0x2d65207d0>"
+       "<graphviz.graphs.Digraph at 0x177c066c0>"
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-     "execution_count": 8,
+     "execution_count": 10,
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@@ -1606,16 +1707,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
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-     "execution_count": 9,
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@@ -1637,16 +1738,16 @@
   },
   {
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-   "execution_count": 10,
+   "execution_count": 12,
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@@ -1668,12 +1769,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1724,12 +1825,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1789,7 +1890,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1809,7 +1910,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1822,7 +1923,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0d3ba17d4f1547829e9edba674b316c3",
+       "model_id": "5ce4ff6495664a8a93f4d7bcd427edfd",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1853,7 +1954,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b7f6774fe5f149f598afe7a21caa3096",
+       "model_id": "ecb520669aab4f47a0f7a55216aba700",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1900,16 +2001,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3.1535063006007005"
+       "3.1527903705407914"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1927,16 +2028,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.845060028479013"
+       "0.8451301132778737"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1954,16 +2055,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "2.3084462721216874"
+       "2.307660257262918"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1993,7 +2094,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -2127,7 +2228,7 @@
        "4         19.2          54    0       44  "
       ]
      },
-     "execution_count": 18,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2141,7 +2242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "metadata": {
     "tags": [
      "hide-output"
@@ -2162,7 +2263,44 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bb4ad535cb214cec98711dc583631b80",
+       "model_id": "6523c405484a4fe6a46a55be35e18cdf",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 16 seconds.\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
+      "  warnings.warn(\n",
+      "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_trt_std, alpha_trt]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "94665fc127844239a619ab452cf1aaa1",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2187,19 +2325,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 17 seconds.\n",
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n",
-      "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
+      "Sampling: [alpha_outcome, beta_ps, beta_std, like, nu, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_trt_std, alpha_trt]\n"
+      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma, nu]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9488f2b6240a40c69595672d70ce756d",
+       "model_id": "6d7d39e4a0404cec8eba093cb175229c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2224,17 +2360,16 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
-      "Sampling: [alpha_outcome, beta_ps, beta_std, like, nu, sigma]\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 16 seconds.\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps, alpha_outcome, sigma, nu]\n"
+      "NUTS: [beta_std, alpha_outcome, sigma]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e1665f2bcaab42c3a2d208a7d1888191",
+       "model_id": "7fb89a19f1ba42f987663f34c1f6d596",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2259,7 +2394,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
      ]
     }
    ],
@@ -2298,17 +2433,21 @@
     "    make_2step_model(\n",
     "        X_trt, X_outcome, T_data, Y_data, coords, priors=priors, normal_outcome=False\n",
     "    )\n",
+    ")\n",
+    "\n",
+    "reg_model_nets, idata_outcome_simple_reg_nets = make_reg_model(\n",
+    "    X_outcome, Y_data, coords\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2319,9 +2458,9 @@
    ],
    "source": [
     "ax = az.plot_forest(\n",
-    "    [idata_outcome_2s_net, idata_net],\n",
+    "    [idata_outcome_2s_net, idata_net, idata_outcome_simple_reg_nets],\n",
     "    var_names=[\"beta_\"],\n",
-    "    model_names=[\"2 Stage\", \"1 Stage\"],\n",
+    "    model_names=[\"2 Stage\", \"1 Stage\", \"Simple Regression\"],\n",
     "    combined=True,\n",
     "    figsize=(10, 4),\n",
     ")\n",
@@ -2339,7 +2478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 23,
    "metadata": {
     "tags": [
      "hide-input"
@@ -2381,73 +2520,98 @@
        "      <th>alpha_trt</th>\n",
        "      <td>-0.260</td>\n",
        "      <td>0.051</td>\n",
-       "      <td>-0.356</td>\n",
-       "      <td>-0.168</td>\n",
+       "      <td>-0.346</td>\n",
+       "      <td>-0.158</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.932</td>\n",
-       "      <td>0.271</td>\n",
-       "      <td>-10.450</td>\n",
-       "      <td>-9.425</td>\n",
+       "      <td>-9.935</td>\n",
+       "      <td>0.270</td>\n",
+       "      <td>-10.443</td>\n",
+       "      <td>-9.444</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.100</td>\n",
-       "      <td>0.220</td>\n",
-       "      <td>-10.504</td>\n",
-       "      <td>-9.682</td>\n",
+       "      <td>-10.104</td>\n",
+       "      <td>0.223</td>\n",
+       "      <td>-10.517</td>\n",
+       "      <td>-9.696</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-16.212</td>\n",
-       "      <td>0.631</td>\n",
-       "      <td>-17.476</td>\n",
-       "      <td>-15.101</td>\n",
+       "      <td>-16.203</td>\n",
+       "      <td>0.646</td>\n",
+       "      <td>-17.359</td>\n",
+       "      <td>-14.952</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.591</td>\n",
-       "      <td>0.383</td>\n",
-       "      <td>45.840</td>\n",
-       "      <td>47.274</td>\n",
+       "      <td>46.590</td>\n",
+       "      <td>0.402</td>\n",
+       "      <td>45.860</td>\n",
+       "      <td>47.354</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.080</td>\n",
-       "      <td>0.321</td>\n",
-       "      <td>-10.651</td>\n",
-       "      <td>-9.466</td>\n",
+       "      <td>-10.097</td>\n",
+       "      <td>0.323</td>\n",
+       "      <td>-10.677</td>\n",
+       "      <td>-9.469</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.562</td>\n",
-       "      <td>0.190</td>\n",
-       "      <td>-10.914</td>\n",
-       "      <td>-10.200</td>\n",
+       "      <td>-10.699</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>-11.062</td>\n",
+       "      <td>-10.341</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>42.529</td>\n",
+       "      <td>41.943</td>\n",
        "      <td>0.429</td>\n",
-       "      <td>41.707</td>\n",
-       "      <td>43.327</td>\n",
+       "      <td>41.150</td>\n",
+       "      <td>42.754</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-8.022</td>\n",
-       "      <td>0.975</td>\n",
-       "      <td>-9.896</td>\n",
-       "      <td>-6.240</td>\n",
+       "      <td>-6.358</td>\n",
+       "      <td>0.965</td>\n",
+       "      <td>-8.132</td>\n",
+       "      <td>-4.553</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">Simple Regression</th>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>-8.541</td>\n",
+       "      <td>0.342</td>\n",
+       "      <td>-9.202</td>\n",
+       "      <td>-7.907</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[income]</th>\n",
+       "      <td>-11.513</td>\n",
+       "      <td>0.165</td>\n",
+       "      <td>-11.828</td>\n",
+       "      <td>-11.204</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>37.838</td>\n",
+       "      <td>0.218</td>\n",
+       "      <td>37.413</td>\n",
+       "      <td>38.237</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2455,19 +2619,22 @@
        "</div>"
       ],
       "text/plain": [
-       "                               mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt      -0.260  0.051  -0.356   -0.168    1.0\n",
-       "              beta_[trt]     -9.932  0.271 -10.450   -9.425    1.0\n",
-       "              beta_[income] -10.100  0.220 -10.504   -9.682    1.0\n",
-       "              beta_ps       -16.212  0.631 -17.476  -15.101    1.0\n",
-       "              alpha_outcome  46.591  0.383  45.840   47.274    1.0\n",
-       "2-stage-model beta_[trt]    -10.080  0.321 -10.651   -9.466    1.0\n",
-       "              beta_[income] -10.562  0.190 -10.914  -10.200    1.0\n",
-       "              alpha_outcome  42.529  0.429  41.707   43.327    1.0\n",
-       "              beta_ps        -8.022  0.975  -9.896   -6.240    1.0"
+       "                                   mean     sd  hdi_3%  hdi_97%  r_hat\n",
+       "1-stage-model     alpha_trt      -0.260  0.051  -0.346   -0.158    1.0\n",
+       "                  beta_[trt]     -9.935  0.270 -10.443   -9.444    1.0\n",
+       "                  beta_[income] -10.104  0.223 -10.517   -9.696    1.0\n",
+       "                  beta_ps       -16.203  0.646 -17.359  -14.952    1.0\n",
+       "                  alpha_outcome  46.590  0.402  45.860   47.354    1.0\n",
+       "2-stage-model     beta_[trt]    -10.097  0.323 -10.677   -9.469    1.0\n",
+       "                  beta_[income] -10.699  0.192 -11.062  -10.341    1.0\n",
+       "                  alpha_outcome  41.943  0.429  41.150   42.754    1.0\n",
+       "                  beta_ps        -6.358  0.965  -8.132   -4.553    1.0\n",
+       "Simple Regression beta_[trt]     -8.541  0.342  -9.202   -7.907    1.0\n",
+       "                  beta_[income] -11.513  0.165 -11.828  -11.204    1.0\n",
+       "                  alpha_outcome  37.838  0.218  37.413   38.237    1.0"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2482,6 +2649,9 @@
     "        \"2-stage-model\": az.summary(\n",
     "            idata_outcome_2s_net, var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"]\n",
     "        ),\n",
+    "        \"Simple Regression\": az.summary(\n",
+    "            idata_outcome_simple_reg_nets, var_names=[\"beta_\", \"alpha_outcome\"]\n",
+    "        ),\n",
     "    }\n",
     ")\n",
     "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
@@ -2496,16 +2666,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.5  , 0.571, 0.643, 0.727])"
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.571, 0.643, 0.727])"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2525,7 +2695,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -2534,7 +2704,7 @@
        "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2547,12 +2717,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2583,7 +2753,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -2717,7 +2887,7 @@
        "4    289.7899   False  False  "
       ]
      },
-     "execution_count": 25,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2731,7 +2901,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -2743,7 +2913,7 @@
        "Name: re78, dtype: float64"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2761,7 +2931,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 29,
    "metadata": {
     "tags": [
      "hide-output"
@@ -2782,7 +2952,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d138e2459d2a49e5b823777a9af1a588",
+       "model_id": "6cef76531bf34d18b2e7093aefb50929",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2819,7 +2989,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bdea9d0a8050457ebcfdfc982c104744",
+       "model_id": "ef293fcfebcc468abdc048f2bcb900ec",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2844,7 +3014,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -2854,7 +3024,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "dd7aa1291fbe4ba28dc85f864d667971",
+       "model_id": "7e2ddf67b35d48b5842a68a6a031fe51",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2865,14 +3035,40 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_std, alpha_outcome, sigma]\n"
      ]
     },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f3c87e9e1ae74d25a7c4b19406e4c777",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "text/html": [
@@ -2887,7 +3083,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 10 seconds.\n"
      ]
     }
    ],
@@ -2934,17 +3130,21 @@
     "    outcome_model_lalonde,\n",
     ") = make_2step_model(\n",
     "    X_trt, X_outcome, T_data, Y_data, coords, priors=priors, spline_component=True\n",
+    ")\n",
+    "\n",
+    "reg_model_lalonde, idata_outcome_simple_reg_lalonde = make_reg_model(\n",
+    "    X_outcome, Y_data, coords, priors=priors\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2955,9 +3155,9 @@
    ],
    "source": [
     "ax = az.plot_forest(\n",
-    "    [idata_outcome_2s_lalonde, idata_lalonde],\n",
-    "    var_names=[\"beta_\"],\n",
-    "    model_names=[\"2 Stage\", \"1 Stage\"],\n",
+    "    [idata_outcome_2s_lalonde, idata_lalonde, idata_outcome_simple_reg_lalonde],\n",
+    "    var_names=[\"beta_\", \"sigma\"],\n",
+    "    model_names=[\"2 Stage\", \"1 Stage\", \"Simple Regression\"],\n",
     "    combined=True,\n",
     "    figsize=(10, 4),\n",
     ")\n",
@@ -2968,7 +3168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 31,
    "metadata": {
     "tags": [
      "hide-input"
@@ -3008,107 +3208,148 @@
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.358</td>\n",
-       "      <td>0.138</td>\n",
-       "      <td>-1.627</td>\n",
-       "      <td>-1.114</td>\n",
+       "      <td>-1.356</td>\n",
+       "      <td>0.134</td>\n",
+       "      <td>-1.597</td>\n",
+       "      <td>-1.102</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1582.081</td>\n",
-       "      <td>567.320</td>\n",
-       "      <td>518.548</td>\n",
-       "      <td>2688.184</td>\n",
+       "      <td>1586.402</td>\n",
+       "      <td>572.999</td>\n",
+       "      <td>521.201</td>\n",
+       "      <td>2674.376</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-451.909</td>\n",
-       "      <td>499.000</td>\n",
-       "      <td>-1356.356</td>\n",
-       "      <td>510.723</td>\n",
+       "      <td>-461.015</td>\n",
+       "      <td>505.808</td>\n",
+       "      <td>-1347.539</td>\n",
+       "      <td>528.151</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3920.030</td>\n",
-       "      <td>512.637</td>\n",
-       "      <td>2985.495</td>\n",
-       "      <td>4918.228</td>\n",
+       "      <td>3941.695</td>\n",
+       "      <td>522.534</td>\n",
+       "      <td>3009.576</td>\n",
+       "      <td>4976.167</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.955</td>\n",
-       "      <td>-1.877</td>\n",
-       "      <td>1.707</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>1.025</td>\n",
+       "      <td>-1.919</td>\n",
+       "      <td>1.923</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4325.476</td>\n",
-       "      <td>373.622</td>\n",
-       "      <td>3615.841</td>\n",
-       "      <td>5010.584</td>\n",
+       "      <td>4319.030</td>\n",
+       "      <td>367.520</td>\n",
+       "      <td>3663.450</td>\n",
+       "      <td>5050.275</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6569.928</td>\n",
-       "      <td>153.274</td>\n",
-       "      <td>6291.063</td>\n",
-       "      <td>6857.492</td>\n",
+       "      <td>6569.484</td>\n",
+       "      <td>156.106</td>\n",
+       "      <td>6263.019</td>\n",
+       "      <td>6847.763</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1580.775</td>\n",
-       "      <td>564.863</td>\n",
-       "      <td>502.679</td>\n",
-       "      <td>2596.270</td>\n",
+       "      <td>1590.464</td>\n",
+       "      <td>583.494</td>\n",
+       "      <td>437.170</td>\n",
+       "      <td>2635.627</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-453.450</td>\n",
-       "      <td>491.114</td>\n",
-       "      <td>-1398.441</td>\n",
-       "      <td>441.350</td>\n",
+       "      <td>-457.782</td>\n",
+       "      <td>488.361</td>\n",
+       "      <td>-1388.839</td>\n",
+       "      <td>436.324</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3933.979</td>\n",
-       "      <td>515.112</td>\n",
-       "      <td>2959.902</td>\n",
-       "      <td>4897.771</td>\n",
+       "      <td>3929.357</td>\n",
+       "      <td>517.364</td>\n",
+       "      <td>2937.964</td>\n",
+       "      <td>4892.017</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.002</td>\n",
-       "      <td>1.008</td>\n",
-       "      <td>-1.780</td>\n",
-       "      <td>1.942</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.997</td>\n",
+       "      <td>-1.808</td>\n",
+       "      <td>1.943</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>4314.124</td>\n",
+       "      <td>366.073</td>\n",
+       "      <td>3620.115</td>\n",
+       "      <td>4971.707</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>6568.396</td>\n",
+       "      <td>147.740</td>\n",
+       "      <td>6289.457</td>\n",
+       "      <td>6842.601</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">Simple Regression</th>\n",
+       "      <th>beta_[treat]</th>\n",
+       "      <td>1591.891</td>\n",
+       "      <td>583.106</td>\n",
+       "      <td>520.635</td>\n",
+       "      <td>2700.519</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[nodegree]</th>\n",
+       "      <td>-465.903</td>\n",
+       "      <td>477.975</td>\n",
+       "      <td>-1332.835</td>\n",
+       "      <td>463.114</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[married]</th>\n",
+       "      <td>3926.746</td>\n",
+       "      <td>512.085</td>\n",
+       "      <td>2926.036</td>\n",
+       "      <td>4874.918</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4319.556</td>\n",
-       "      <td>362.944</td>\n",
-       "      <td>3667.437</td>\n",
-       "      <td>5035.871</td>\n",
+       "      <td>4324.454</td>\n",
+       "      <td>366.428</td>\n",
+       "      <td>3627.299</td>\n",
+       "      <td>4993.995</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6568.033</td>\n",
-       "      <td>149.463</td>\n",
-       "      <td>6288.573</td>\n",
-       "      <td>6852.935</td>\n",
+       "      <td>6567.380</td>\n",
+       "      <td>154.478</td>\n",
+       "      <td>6286.521</td>\n",
+       "      <td>6863.357</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3116,23 +3357,48 @@
        "</div>"
       ],
       "text/plain": [
-       "                                   mean       sd    hdi_3%   hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt          -1.358    0.138    -1.627    -1.114    1.0\n",
-       "              beta_[treat]     1582.081  567.320   518.548  2688.184    1.0\n",
-       "              beta_[nodegree]  -451.909  499.000 -1356.356   510.723    1.0\n",
-       "              beta_[married]   3920.030  512.637  2985.495  4918.228    1.0\n",
-       "              beta_ps             0.005    0.955    -1.877     1.707    1.0\n",
-       "              alpha_outcome    4325.476  373.622  3615.841  5010.584    1.0\n",
-       "              sigma            6569.928  153.274  6291.063  6857.492    1.0\n",
-       "2-stage-model beta_[treat]     1580.775  564.863   502.679  2596.270    1.0\n",
-       "              beta_[nodegree]  -453.450  491.114 -1398.441   441.350    1.0\n",
-       "              beta_[married]   3933.979  515.112  2959.902  4897.771    1.0\n",
-       "              beta_ps             0.002    1.008    -1.780     1.942    1.0\n",
-       "              alpha_outcome    4319.556  362.944  3667.437  5035.871    1.0\n",
-       "              sigma            6568.033  149.463  6288.573  6852.935    1.0"
+       "                                       mean       sd    hdi_3%   hdi_97%  \\\n",
+       "1-stage-model     alpha_trt          -1.356    0.134    -1.597    -1.102   \n",
+       "                  beta_[treat]     1586.402  572.999   521.201  2674.376   \n",
+       "                  beta_[nodegree]  -461.015  505.808 -1347.539   528.151   \n",
+       "                  beta_[married]   3941.695  522.534  3009.576  4976.167   \n",
+       "                  beta_ps             0.009    1.025    -1.919     1.923   \n",
+       "                  alpha_outcome    4319.030  367.520  3663.450  5050.275   \n",
+       "                  sigma            6569.484  156.106  6263.019  6847.763   \n",
+       "2-stage-model     beta_[treat]     1590.464  583.494   437.170  2635.627   \n",
+       "                  beta_[nodegree]  -457.782  488.361 -1388.839   436.324   \n",
+       "                  beta_[married]   3929.357  517.364  2937.964  4892.017   \n",
+       "                  beta_ps             0.003    0.997    -1.808     1.943   \n",
+       "                  alpha_outcome    4314.124  366.073  3620.115  4971.707   \n",
+       "                  sigma            6568.396  147.740  6289.457  6842.601   \n",
+       "Simple Regression beta_[treat]     1591.891  583.106   520.635  2700.519   \n",
+       "                  beta_[nodegree]  -465.903  477.975 -1332.835   463.114   \n",
+       "                  beta_[married]   3926.746  512.085  2926.036  4874.918   \n",
+       "                  alpha_outcome    4324.454  366.428  3627.299  4993.995   \n",
+       "                  sigma            6567.380  154.478  6286.521  6863.357   \n",
+       "\n",
+       "                                   r_hat  \n",
+       "1-stage-model     alpha_trt          1.0  \n",
+       "                  beta_[treat]       1.0  \n",
+       "                  beta_[nodegree]    1.0  \n",
+       "                  beta_[married]     1.0  \n",
+       "                  beta_ps            1.0  \n",
+       "                  alpha_outcome      1.0  \n",
+       "                  sigma              1.0  \n",
+       "2-stage-model     beta_[treat]       1.0  \n",
+       "                  beta_[nodegree]    1.0  \n",
+       "                  beta_[married]     1.0  \n",
+       "                  beta_ps            1.0  \n",
+       "                  alpha_outcome      1.0  \n",
+       "                  sigma              1.0  \n",
+       "Simple Regression beta_[treat]       1.0  \n",
+       "                  beta_[nodegree]    1.0  \n",
+       "                  beta_[married]     1.0  \n",
+       "                  alpha_outcome      1.0  \n",
+       "                  sigma              1.0  "
       ]
      },
-     "execution_count": 29,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3148,6 +3414,10 @@
     "            idata_outcome_2s_lalonde,\n",
     "            var_names=[\"beta_\", \"beta_ps\", \"alpha_outcome\", \"sigma\"],\n",
     "        ),\n",
+    "        \"Simple Regression\": az.summary(\n",
+    "            idata_outcome_simple_reg_lalonde,\n",
+    "            var_names=[\"beta_\", \"alpha_outcome\", \"sigma\"],\n",
+    "        ),\n",
     "    }\n",
     ")\n",
     "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
@@ -3162,12 +3432,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3198,7 +3468,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -3289,7 +3559,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3301,7 +3571,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 34,
    "metadata": {
     "tags": [
      "hide-output"
@@ -3322,7 +3592,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a6c19c80ba8a4b98b073da17136e194f",
+       "model_id": "d9d7f0aa1f904a5bb9c84c30f086ea71",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3333,14 +3603,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -3355,7 +3617,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 47 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 48 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -3367,7 +3629,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "702de7b986414b279c11c5b695013eaa",
+       "model_id": "b978ef3dd9334b6a9de25afe97eb68cf",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3392,7 +3654,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 37 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 39 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -3402,7 +3664,57 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0827247867294a5fb95c591575722e90",
+       "model_id": "52374270638c48d48f575cdab2e55d84",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [beta_std, alpha_outcome, sigma]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "874d71d937144c8c80ea3ac745190985",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3413,6 +3725,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -3427,7 +3747,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 17 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
      ]
     }
    ],
@@ -3518,17 +3838,22 @@
     "    outcome_model_nhefs,\n",
     ") = make_2step_model(\n",
     "    X_trt, X_outcome, T_data, Y_data, coords, priors=priors, spline_component=True\n",
+    ")\n",
+    "\n",
+    "\n",
+    "reg_model_nhefs, idata_outcome_simple_reg_nhefs = make_reg_model(\n",
+    "    X_outcome, Y_data, coords, priors=priors\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3539,9 +3864,9 @@
    ],
    "source": [
     "ax = az.plot_forest(\n",
-    "    [idata_outcome_2s_nhefs, idata_nhefs],\n",
+    "    [idata_outcome_2s_nhefs, idata_nhefs, idata_outcome_simple_reg_nhefs],\n",
     "    var_names=[\"beta_\"],\n",
-    "    model_names=[\"2 Stage\", \"1 Stage\"],\n",
+    "    model_names=[\"2 Stage\", \"1 Stage\", \"Simple Regression\"],\n",
     "    combined=True,\n",
     "    figsize=(10, 4),\n",
     ")\n",
@@ -3559,7 +3884,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 36,
    "metadata": {
     "tags": [
      "hide-input"
@@ -3600,154 +3925,219 @@
        "      <th rowspan=\"10\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
        "      <td>-1.153</td>\n",
-       "      <td>0.062</td>\n",
-       "      <td>-1.271</td>\n",
-       "      <td>-1.037</td>\n",
+       "      <td>0.063</td>\n",
+       "      <td>-1.267</td>\n",
+       "      <td>-1.032</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.835</td>\n",
-       "      <td>0.398</td>\n",
-       "      <td>2.082</td>\n",
-       "      <td>3.570</td>\n",
+       "      <td>2.836</td>\n",
+       "      <td>0.404</td>\n",
+       "      <td>2.052</td>\n",
+       "      <td>3.554</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.231</td>\n",
-       "      <td>0.352</td>\n",
-       "      <td>-2.883</td>\n",
-       "      <td>-1.564</td>\n",
+       "      <td>-2.234</td>\n",
+       "      <td>0.354</td>\n",
+       "      <td>-2.895</td>\n",
+       "      <td>-1.554</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.576</td>\n",
-       "      <td>0.465</td>\n",
-       "      <td>-0.310</td>\n",
-       "      <td>1.449</td>\n",
+       "      <td>0.570</td>\n",
+       "      <td>0.464</td>\n",
+       "      <td>-0.332</td>\n",
+       "      <td>1.403</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.489</td>\n",
-       "      <td>0.343</td>\n",
-       "      <td>-0.165</td>\n",
-       "      <td>1.124</td>\n",
+       "      <td>0.493</td>\n",
+       "      <td>0.349</td>\n",
+       "      <td>-0.157</td>\n",
+       "      <td>1.150</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>0.022</td>\n",
-       "      <td>0.617</td>\n",
-       "      <td>-1.102</td>\n",
-       "      <td>1.201</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.624</td>\n",
+       "      <td>-1.124</td>\n",
+       "      <td>1.203</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-1.267</td>\n",
-       "      <td>0.615</td>\n",
-       "      <td>-2.427</td>\n",
-       "      <td>-0.137</td>\n",
+       "      <td>-1.261</td>\n",
+       "      <td>0.624</td>\n",
+       "      <td>-2.438</td>\n",
+       "      <td>-0.091</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>-0.287</td>\n",
-       "      <td>0.458</td>\n",
-       "      <td>-1.161</td>\n",
-       "      <td>0.580</td>\n",
+       "      <td>-0.278</td>\n",
+       "      <td>0.457</td>\n",
+       "      <td>-1.128</td>\n",
+       "      <td>0.595</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.051</td>\n",
-       "      <td>0.329</td>\n",
-       "      <td>1.444</td>\n",
-       "      <td>2.670</td>\n",
+       "      <td>2.057</td>\n",
+       "      <td>0.330</td>\n",
+       "      <td>1.452</td>\n",
+       "      <td>2.690</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.507</td>\n",
-       "      <td>0.993</td>\n",
-       "      <td>-2.352</td>\n",
-       "      <td>1.379</td>\n",
+       "      <td>-0.527</td>\n",
+       "      <td>0.997</td>\n",
+       "      <td>-2.399</td>\n",
+       "      <td>1.328</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"9\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.809</td>\n",
-       "      <td>0.396</td>\n",
-       "      <td>2.060</td>\n",
-       "      <td>3.540</td>\n",
+       "      <td>2.857</td>\n",
+       "      <td>0.403</td>\n",
+       "      <td>2.082</td>\n",
+       "      <td>3.587</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.318</td>\n",
-       "      <td>0.363</td>\n",
-       "      <td>-3.003</td>\n",
-       "      <td>-1.642</td>\n",
+       "      <td>-2.184</td>\n",
+       "      <td>0.355</td>\n",
+       "      <td>-2.843</td>\n",
+       "      <td>-1.524</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.584</td>\n",
-       "      <td>0.495</td>\n",
-       "      <td>-0.352</td>\n",
-       "      <td>1.495</td>\n",
+       "      <td>0.524</td>\n",
+       "      <td>0.469</td>\n",
+       "      <td>-0.376</td>\n",
+       "      <td>1.383</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.484</td>\n",
-       "      <td>0.346</td>\n",
-       "      <td>-0.176</td>\n",
-       "      <td>1.123</td>\n",
+       "      <td>0.478</td>\n",
+       "      <td>0.345</td>\n",
+       "      <td>-0.156</td>\n",
+       "      <td>1.124</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.620</td>\n",
-       "      <td>-1.204</td>\n",
-       "      <td>1.114</td>\n",
+       "      <td>0.059</td>\n",
+       "      <td>0.630</td>\n",
+       "      <td>-1.131</td>\n",
+       "      <td>1.246</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-1.270</td>\n",
-       "      <td>0.625</td>\n",
-       "      <td>-2.396</td>\n",
-       "      <td>-0.048</td>\n",
+       "      <td>-1.261</td>\n",
+       "      <td>0.629</td>\n",
+       "      <td>-2.452</td>\n",
+       "      <td>-0.081</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>-0.282</td>\n",
-       "      <td>0.472</td>\n",
-       "      <td>-1.149</td>\n",
-       "      <td>0.621</td>\n",
+       "      <td>-0.242</td>\n",
+       "      <td>0.464</td>\n",
+       "      <td>-1.121</td>\n",
+       "      <td>0.641</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.900</td>\n",
-       "      <td>0.508</td>\n",
-       "      <td>0.922</td>\n",
-       "      <td>2.834</td>\n",
+       "      <td>1.918</td>\n",
+       "      <td>0.506</td>\n",
+       "      <td>0.957</td>\n",
+       "      <td>2.856</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.005</td>\n",
-       "      <td>0.992</td>\n",
-       "      <td>-1.866</td>\n",
-       "      <td>1.900</td>\n",
+       "      <td>-0.001</td>\n",
+       "      <td>0.997</td>\n",
+       "      <td>-1.871</td>\n",
+       "      <td>1.901</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"8\" valign=\"top\">Simple Regression</th>\n",
+       "      <th>beta_[trt]</th>\n",
+       "      <td>2.820</td>\n",
+       "      <td>0.403</td>\n",
+       "      <td>2.066</td>\n",
+       "      <td>3.559</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[age]</th>\n",
+       "      <td>-2.276</td>\n",
+       "      <td>0.344</td>\n",
+       "      <td>-2.911</td>\n",
+       "      <td>-1.626</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[smokeintensity]</th>\n",
+       "      <td>0.628</td>\n",
+       "      <td>0.465</td>\n",
+       "      <td>-0.221</td>\n",
+       "      <td>1.507</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[smokeyrs]</th>\n",
+       "      <td>0.509</td>\n",
+       "      <td>0.343</td>\n",
+       "      <td>-0.155</td>\n",
+       "      <td>1.132</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[wt71]</th>\n",
+       "      <td>0.016</td>\n",
+       "      <td>0.615</td>\n",
+       "      <td>-1.078</td>\n",
+       "      <td>1.206</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[wt71^2]</th>\n",
+       "      <td>-1.277</td>\n",
+       "      <td>0.617</td>\n",
+       "      <td>-2.491</td>\n",
+       "      <td>-0.183</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>beta_[smokeintensity^2]</th>\n",
+       "      <td>-0.323</td>\n",
+       "      <td>0.463</td>\n",
+       "      <td>-1.188</td>\n",
+       "      <td>0.548</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alpha_outcome</th>\n",
+       "      <td>1.926</td>\n",
+       "      <td>0.217</td>\n",
+       "      <td>1.497</td>\n",
+       "      <td>2.315</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3755,29 +4145,66 @@
        "</div>"
       ],
       "text/plain": [
-       "                                        mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model alpha_trt               -1.153  0.062  -1.271   -1.037    1.0\n",
-       "              beta_[trt]               2.835  0.398   2.082    3.570    1.0\n",
-       "              beta_[age]              -2.231  0.352  -2.883   -1.564    1.0\n",
-       "              beta_[smokeintensity]    0.576  0.465  -0.310    1.449    1.0\n",
-       "              beta_[smokeyrs]          0.489  0.343  -0.165    1.124    1.0\n",
-       "              beta_[wt71]              0.022  0.617  -1.102    1.201    1.0\n",
-       "              beta_[wt71^2]           -1.267  0.615  -2.427   -0.137    1.0\n",
-       "              beta_[smokeintensity^2] -0.287  0.458  -1.161    0.580    1.0\n",
-       "              alpha_outcome            2.051  0.329   1.444    2.670    1.0\n",
-       "              beta_ps                 -0.507  0.993  -2.352    1.379    1.0\n",
-       "2-stage-model beta_[trt]               2.809  0.396   2.060    3.540    1.0\n",
-       "              beta_[age]              -2.318  0.363  -3.003   -1.642    1.0\n",
-       "              beta_[smokeintensity]    0.584  0.495  -0.352    1.495    1.0\n",
-       "              beta_[smokeyrs]          0.484  0.346  -0.176    1.123    1.0\n",
-       "              beta_[wt71]              0.002  0.620  -1.204    1.114    1.0\n",
-       "              beta_[wt71^2]           -1.270  0.625  -2.396   -0.048    1.0\n",
-       "              beta_[smokeintensity^2] -0.282  0.472  -1.149    0.621    1.0\n",
-       "              alpha_outcome            1.900  0.508   0.922    2.834    1.0\n",
-       "              beta_ps                 -0.005  0.992  -1.866    1.900    1.0"
+       "                                            mean     sd  hdi_3%  hdi_97%  \\\n",
+       "1-stage-model     alpha_trt               -1.153  0.063  -1.267   -1.032   \n",
+       "                  beta_[trt]               2.836  0.404   2.052    3.554   \n",
+       "                  beta_[age]              -2.234  0.354  -2.895   -1.554   \n",
+       "                  beta_[smokeintensity]    0.570  0.464  -0.332    1.403   \n",
+       "                  beta_[smokeyrs]          0.493  0.349  -0.157    1.150   \n",
+       "                  beta_[wt71]              0.016  0.624  -1.124    1.203   \n",
+       "                  beta_[wt71^2]           -1.261  0.624  -2.438   -0.091   \n",
+       "                  beta_[smokeintensity^2] -0.278  0.457  -1.128    0.595   \n",
+       "                  alpha_outcome            2.057  0.330   1.452    2.690   \n",
+       "                  beta_ps                 -0.527  0.997  -2.399    1.328   \n",
+       "2-stage-model     beta_[trt]               2.857  0.403   2.082    3.587   \n",
+       "                  beta_[age]              -2.184  0.355  -2.843   -1.524   \n",
+       "                  beta_[smokeintensity]    0.524  0.469  -0.376    1.383   \n",
+       "                  beta_[smokeyrs]          0.478  0.345  -0.156    1.124   \n",
+       "                  beta_[wt71]              0.059  0.630  -1.131    1.246   \n",
+       "                  beta_[wt71^2]           -1.261  0.629  -2.452   -0.081   \n",
+       "                  beta_[smokeintensity^2] -0.242  0.464  -1.121    0.641   \n",
+       "                  alpha_outcome            1.918  0.506   0.957    2.856   \n",
+       "                  beta_ps                 -0.001  0.997  -1.871    1.901   \n",
+       "Simple Regression beta_[trt]               2.820  0.403   2.066    3.559   \n",
+       "                  beta_[age]              -2.276  0.344  -2.911   -1.626   \n",
+       "                  beta_[smokeintensity]    0.628  0.465  -0.221    1.507   \n",
+       "                  beta_[smokeyrs]          0.509  0.343  -0.155    1.132   \n",
+       "                  beta_[wt71]              0.016  0.615  -1.078    1.206   \n",
+       "                  beta_[wt71^2]           -1.277  0.617  -2.491   -0.183   \n",
+       "                  beta_[smokeintensity^2] -0.323  0.463  -1.188    0.548   \n",
+       "                  alpha_outcome            1.926  0.217   1.497    2.315   \n",
+       "\n",
+       "                                           r_hat  \n",
+       "1-stage-model     alpha_trt                  1.0  \n",
+       "                  beta_[trt]                 1.0  \n",
+       "                  beta_[age]                 1.0  \n",
+       "                  beta_[smokeintensity]      1.0  \n",
+       "                  beta_[smokeyrs]            1.0  \n",
+       "                  beta_[wt71]                1.0  \n",
+       "                  beta_[wt71^2]              1.0  \n",
+       "                  beta_[smokeintensity^2]    1.0  \n",
+       "                  alpha_outcome              1.0  \n",
+       "                  beta_ps                    1.0  \n",
+       "2-stage-model     beta_[trt]                 1.0  \n",
+       "                  beta_[age]                 1.0  \n",
+       "                  beta_[smokeintensity]      1.0  \n",
+       "                  beta_[smokeyrs]            1.0  \n",
+       "                  beta_[wt71]                1.0  \n",
+       "                  beta_[wt71^2]              1.0  \n",
+       "                  beta_[smokeintensity^2]    1.0  \n",
+       "                  alpha_outcome              1.0  \n",
+       "                  beta_ps                    1.0  \n",
+       "Simple Regression beta_[trt]                 1.0  \n",
+       "                  beta_[age]                 1.0  \n",
+       "                  beta_[smokeintensity]      1.0  \n",
+       "                  beta_[smokeyrs]            1.0  \n",
+       "                  beta_[wt71]                1.0  \n",
+       "                  beta_[wt71^2]              1.0  \n",
+       "                  beta_[smokeintensity^2]    1.0  \n",
+       "                  alpha_outcome              1.0  "
       ]
      },
-     "execution_count": 34,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3791,6 +4218,9 @@
     "        \"2-stage-model\": az.summary(\n",
     "            idata_outcome_2s_nhefs, var_names=[\"beta_\", \"alpha_outcome\", \"beta_ps\"]\n",
     "        ),\n",
+    "        \"Simple Regression\": az.summary(\n",
+    "            idata_outcome_simple_reg_nhefs, var_names=[\"beta_\", \"alpha_outcome\"]\n",
+    "        ),\n",
     "    }\n",
     ")\n",
     "compare_estimate[[\"mean\", \"sd\", \"hdi_3%\", \"hdi_97%\", \"r_hat\"]]"
@@ -3798,12 +4228,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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+fcsFuPz2oCxTU1MMGDAAQEEQKqV///4q09jO1uTmN2rUCABk24QbGhpKrtegQQN4e3uDYRicPn1aZf69e/ewZMkSTJgwAcOHD8fgwYMxePBgREVFASio3i6lVatWxRp6Tqqsbm5uMDY2xps3b5CamspNP3v2LACga9euksNa8R8KFMXJkye54+7bty98fX25KtNsvwZiffr0kdwWe479/f0lH26MGDECABATE4OMjAyV+c2aNZOsVt6vXz8YGxsjKSkJ9+/f56YfPnyY25+Utm3bwtDQEDExMZJt7vv166dSbd/Q0JBrl81/AMQGuCdOnMC7d+8k96crderUQYsWLZCamqrSz8DevXuRm5sLPz8/lYBMV8zMzAC8/6xQh+3x/sqVK0hOTtZ5WfhNHbTVtWtX2NraqkwfMmQIAODSpUuS92Fp0cXnqdS9b21tzQ0tyL+H2Wt15MgRtX1QEEJIeUBt5gkhRIK5uTkAFCkgYbNwRkZGKlltlqurKwAIOrTjc3R0VJnGz5xJzbeysgIgH1zUrFlTkAXmc3FxQXR0tEp5Vq1ahcWLFyM/P19yPQCCrBZfvXr1ZNfRhNQxAgXnISUlBRkZGdwxs+WWGxqwVq1asLCwQHp6epHK8uLFC7x48QJAQY2DqlWrwtvbGwMHDpQdM1vcpp/FlpW9B8ScnJxgaGiInJwcJCQkqGRs5c6rmZkZ7O3tER8fj/j4eLi4uODt27dISkoCAPz4449qjzErKwtpaWmwsbERTJe7DmzbbX6g17lzZ9SqVQunT59G27Zt0bZtW64DR123WwcKHjRERkZi9+7dguuwe/duAMV/iKMO+z6Te0/x2dnZoXv37vj777/RtWtX+Pj4oGXLlvD29oanpydXe6MorKysijWShtz9VKdOHRgZGSE7O1vyPiwtJfV5ChTcww8ePBDcw3379kVwcDDX0WLbtm3h7e0NX19f2f0TQkhZoWCeEEIksBnlovR8zn7Jt7a2hkKhkFyGDZjkAm+parL8bUnVGJDbF0uq4yzxPH55oqKi8Pvvv0NfXx9Tp06Fn58fHBwcYGpqCoVCgUWLFmHlypWy2Ss2c1lUcuuzWWJ+VXL2oQv7EEaKubl5kYP5zz77TDDOvCbkanWwgYPc9VAoFLC2tsaTJ08k74/CrmN8fDy3Hv94L126VGiZMzMzVabJHYfUdTAzM8PmzZvxxx9/4NChQzhw4ADX672rqyumTZuGjh07FloOTXXr1g1z5sxBREQEUlNTYWVlhVu3biE2Nha2trZo27atzvYlxvagrmkgvWDBAri6uiI0NBSnT5/mamhYW1sjMDBQ0KxGG8V9nxV2Hz5+/Fij2gclRRefp9rcw3Z2dti2bRv++OMPREREYNeuXdi1axcAwNPTE9OnT0ezZs2KdjCEEKJjFMwTQoiEZs2aISQkhKt6rE3mjA0oX758CYZhJL+APn/+XLBsaVDXtpedxy/Pvn37AAABAQEYO3asyjrsUFrlAftlXV114LIMSPjY4IvN9IsxDCN5PVjqriO7TXY9fqB3/fp1tb3I60rNmjUxb948zJkzBzdu3MCFCxdw6NAhXL9+HePHj8eWLVvg4eGhk32ZmpqiR48e2L59O8LDwzFs2DAuK//JJ59wbaRLQnR0NACgadOmGi1vbGyMiRMnYuLEibh37x4uXryI48eP48SJE1iwYAGAgvdaaZO7n+TuQ/bzjJEZyUHXVfLL4vPUxcUFS5YsQXZ2NmJiYhAVFYXw8HBcvnwZo0ePxr59+4rcnwohhOgStZknhBAJ7du3h5mZGV68eIFDhw5pta6joyP09PSQnZ2t0qEc6+7duwAKqlSXlpSUFNmAlh26jV8etnq2XBZKrq18WWDLze+MjS85ObnIWXldY8vK3gNi8fHxyMnJgb6+vmT1YLlh9t69e8dli9l9WFpaokaNGmr3V1IMDAzg4eGBsWPHYufOnejZsyfy8vKwc+dOne6nX79+AICwsDDk5uZyD6FKsor9jRs3cO3aNQBAhw4dtF7fxcUFAwcOxMqVKzFr1iwABePElwW5+ykxMRHZ2dnQ09MT3IfsgzO5hwByw+IVVnNITll+nhoZGcHHxwcTJkzA/v374eXlhYyMDISHh+t0P4QQUlQUzBNCiIQqVapwnS3973//K7S6fXR0NFeN2dzcnAuAN23apLJsZmYmQkNDART0slxacnJysGPHDpXpd+7cwcWLF6FQKNC6dWtuOts5m1QG+fTp0+UqmGfLffjwYcmgPSwsrLSLJIu95qGhocjKylKZz94zXl5eklWoY2JiuF70+Xbu3ImsrCzUqlVL0A66a9euAIANGzbopPxFxWbjnz59qtHybFMTqar/fJ6ennB1dcWNGzewbt06PH/+vETGlmelpaVh+vTpAICPPvpI48y8HHaMevF50fT4i+vw4cNcZptv8+bNAFTvQ7bdOPswg+/x48eSnWgC7z9PtD2e8vJ5qq+vz41jr+k9TAghJY2CeUIIkTFhwgQ0a9YMz58/x6BBg7B7926V4OvBgweYPXs2RowYIchUjRkzBgCwZcsWLlMIFLRh/vbbb/Hy5UvUqlWrxIbNkmJgYIClS5ciMjKSm/b48WN89913AAqCPn4Gjh1Ca/Xq1YKM2NWrV/HDDz9oNcxcSWvVqhXc3NyQmpqKadOm4fXr19y8I0eOYPXq1aVSxVwTvXr1goODA54/f47p06cLakvs2bMH27ZtA/D+HhIzMDDA9OnTuZoTAHDx4kUsWbIEADB69GhBFnTMmDGoVq0adu3ahXnz5gnODVAQnO7YsQPLly8v9rGtX78e69evVwkOk5OTuQdJ7KgLhWGDRnbUBHXYLPwff/wh+FuX0tPTsWvXLvTt2xd37tyBra2txv0onDt3DvPnz1epHfH27Vtu6DfxCAXaHH9x5OfnY9q0aYLPr3/++YcLnMVV/9u1awcAOHr0qGAUgadPn2LatGnIy8uT3A//IYC2HYuW5ufpokWLEBoaqvI+uXPnDg4ePAhA83uYEEJKGrWZJ4QQGUZGRggODsb333+PQ4cO4bvvvsOsWbPg6OgIY2NjPH36lBuPvmbNmoJAuGPHjhg7dixWr16NadOmYeHChahevTru37+PjIwMVK1aFYsXL9ZqPOjiatasGczNzTF8+HA4OTnBzMwMd+7cQW5uLurUqaPS2/nAgQOxZcsWJCQk4OOPP4azszNycnLw4MEDuLq6okePHvjzzz9Lrfzq6OnpYcGCBRg+fDiOHz+Odu3awcXFBampqUhKSsLw4cNx7NgxJCUllWg7ak2Ymppi8eLFCAgIwIEDBxAREYF69erhxYsXXDX5cePGoX379pLrDxw4EMeOHUPXrl1Rv359ZGZm4sGDBwAK7jt2SDFWzZo1sXz5cowfPx7r169HSEgInJ2dYWpqipcvXyIxMREMw6BHjx7FPrakpCRs3LgR8+bNQ61atVC9enWkp6fj4cOHyMvLg1KpxKhRozTaVo8ePRASEoI1a9bgn3/+ga2tLRQKBcaMGcMFlKw+ffpg0aJFyMnJ0cnY8jt37uSGO8zNzcWrV6/w6NEjblQHHx8fzJ8/nxuKrzBv377FunXrsG7dOlhbW8PBwQG5ubl4+PAh3r17B0tLS3z//fdFPv7iCAgIwObNm9GhQwe4uroiLS2Ne1A0ZMgQ+Pn5CZZ3cXFB//79sWPHDowdOxa1a9eGpaUl4uLi4OjoiMGDB2Pjxo0q+2ncuDGcnJwQHx+PDh06wNnZGYaGhmjQoAFmzJihtoyl+XkaFxeHlStX4qeffkKdOnVQtWpVvHr1Cg8fPgRQcO2LMxQgIYToEgXzhBCihrm5OZYsWYKLFy9i165duHjxIhITE5GTkwMrKyt06NABXbp0Qa9evVS+SE6dOhVeXl7YtGkTrl+/jufPn6NGjRr49NNP8eWXX3LjGZcWhUKBoKAgrFq1Cnv37sXdu3dhZWWFzp07Y9KkSSq9cltYWGDz5s1YuHAhTpw4gQcPHsDOzg6jRo3ChAkTyk0gz2rQoAF27tyJxYsX48yZM4iLi0PdunXx008/YejQodi/fz+A0u10UI6Hhwf27NmDVatW4fTp07h9+zbMzMzQpk0bjBgxQjaQBwqGIgsNDcWiRYtw8uRJpKWlwdnZGf369ZPtEd3b2xsHDhzAhg0bEBERwQ33ZWdnh7Zt26Jjx45cdfziGDRoEKpWrYrz588jISEBsbGxqFq1Kpo0aYJPPvkE/fv31zjgat68ORYuXIgNGzbg7t273LBjn332mcqy1atXR9u2bXHs2DGdjC2fkpLCPVgxNTWFhYUFvLy80LRpU3z88cdaV6339vbGzJkzufvy3r17MDAwgKOjI9q2bYuRI0eqjPWuzfEXh5OTE0JDQ7F48WJERkYiPT0dDRo0wNChQyXHZweA2bNnw8HBAbt370ZKSgpycnIwcOBAfP3117LNOfT09LBq1Sr8/vvvuHjxIq5evSqbxZdSWp+n48aNg4uLCy5cuIDk5GQkJyfD2toaLVu2RL9+/dCrV69iDSVICCG6pGDkuiMlhBBSKVy4cAEjRoxAy5YtJducfghSU1Ph6+uLKlWqlHi15ZKydOlSBAUFYcKECZg4cWJZF6fcGTBgAK5cuYJVq1YVqVM6QgghpKKhNvOEEEIqPbYDPBofunKKi4vDlStXSnxseUIIIaQ8oWCeEEJIpXD79m1s27ZN0KEcwzDYs2cP1zHaoEGDyqp4pITk5eVh0aJFAAr6EyjrPhEIIYSQ0kKNfgghhFQKaWlp+Omnn7j2vNWqVcOjR4+QlpYGoCDQE3fmRSqukydPYs2aNXj06BFSUlJgY2ODESNGlHWxCCGEkFJDwTwhhJBKwdXVFYGBgThz5gzXgZmFhQU++ugjDBgwQCe9tZPy4/nz54iMjISZmRl8fHzwww8/oGrVqmVdLEIIIaTUUAd4hBBCCCGEEEJIBUNt5gkhhBBCCCGEkAqGgnlCCCGEEEIIIaSCoWCeEEIIIYQQQgipYCiYJ4QQQorJz88Pbm5uSExMLLMyLF26FG5ubli6dGmZlaG8cnNzg5ubW1kXo9iGDx8ONzc3XLhwoayLUqlMnz4dbm5uCAsLK+uiEEKIVqg3e0JIpePn54ekpCSt1qlVqxaOHTtWQiUqXWFhYUhKSsJnn32G2rVrl3VxiIzp06dj165d+Oyzz/DLL7+UdXFUJCYmYteuXahVqxb69u2r9fphYWH4/vvvC12uuO+9ynK/X7hwAZGRkWjZsiV8fHzKujiVRmxsLI4cOYKGDRuic+fOZV0cQgjRKQrmCSGVjru7O+zs7ATTsrOzcf36dW6+kZGRYL6trW2pla+k7dq1iwsKKnJwQ7RjZWUFZ2dnWFlZ6WR7SUlJCAoKQsuWLYsUzLOMjIzg7u4uO7+47z1N7ndnZ+di7aM0REZGIigoCBMmTJAN5u3t7eHs7AxTU9NSLl3FFRsbi6CgIHz22WeywbytrS2cnZ1haWlZyqUjhJDioWCeEFLpLFmyRGVaYmIiOnXqBAD4448/KMgllc6wYcMwbNiwsi6GCltbW2zZsqVMy/D333+X6f51ZcGCBWVdhEpp6tSpmDp1alkXgxBCtEZt5gkhhBBCCCGEkAqGgnlCyAdt3LhxcHNzw9GjRwXTc3Nz0axZM7i5ueGbb75RWU+uwySGYbBnzx4MGzYMzZs3R9OmTdG9e3f8+uuvSEtLK1IZGYbB7t27MXToUDRv3hzu7u5o3bo1+vbtiwULFuDx48cACtrcurm5ITIyEgAwYsQIruMvcVkvX76MBQsWoG/fvvjoo4/g7u6O9u3b45tvvkFcXJzasmzZsgWffvopmjZtilatWmHq1Kl49OgRwsLC4ObmhunTp0uu+/jxY8ydOxfdunVD06ZN0bx5cwwfPrxIWdPXr18jNDQU48aNQ5cuXdC0aVN4e3vD398fGzduRG5uruR6/I7QTpw4gaFDh6JZs2bw9vZGYGAgbt68KbvPpKQkTJs2DR999BE8PDzwySefICQkBAzDaF1+TcTFxeGbb75Bu3bt4O7ujlatWmHixIm4fPmy5PJyHeDxr0t2djaWLl2KLl26oEmTJmjfvj3mzZuHjIwMwTrDhw/HiBEjABRU/+bfR35+fiVyvKySuN/lOsDjd1wYGRmJkSNHonnz5mjZsiXGjx+P+Ph4btmjR49iyJAh8PLyQosWLTBlyhQ8efJE8hjOnDmDn3/+GZ9++ilatmyJJk2aoHPnzpg1axaSk5NVlndzc0NQUBAAICgoSHAc/PeTug7wivLZU5z3gxz+OT1//jwCAwPh4+OjUu7k5GTMmjULfn5+cHd3h4+PDwIDA3HixAnJ7RbWSZ3U/e/n58f127Br1y7BeR0+fHih2+Zv882bN/jvf/+LDh06wN3dHV26dMGyZctkP2sA4N69e/j+++8Fxzh27FicO3dOcvnU1FTMnz8f3bt3R5MmTeDp6Qk/Pz8EBAQgJCREdj+EkA8XVbMnhHzQWrRogWPHjiEqKoqrhg8AN2/e5AKcqKgolfXYaS1atOCmMQyDadOmYf/+/QCAOnXqoEqVKrhz5w7Wrl2LgwcPYsOGDahTp45WZVywYAHWrVsHAHBwcICTkxNSU1Nx584d3LhxA15eXqhZsyYsLS3h5eWFO3fuID09HUqlEhYWFtx2qlevzr3+5ptvkJCQgGrVqqFGjRqoUaMGkpKSsHfvXhw+fBirV6+WbLc7Y8YM7Ny5EwBQu3ZtVK1aFf/88w9OnTqFIUOGyB5DZGQkvvrqK7x58wYmJiaoW7cu3rx5g8jISERGRmL06NH47rvvND4nx48fx8yZM2FoaIgaNWpAqVQiLS0N169fx9WrV3HmzBmsWLECenrSz6y3bNmC2bNnw8bGBs7Oznjw4AFOnTqF6Oho7NixAy4uLoLl7927hyFDhiAtLQ3GxsZwdXVFamoqfv75Z9y9e1fjcmvq6NGj+Prrr5GdnY0qVarAzc0NycnJOHz4MI4cOYLZs2djwIABWm0zJycHo0ePxsWLF+Hq6opatWrh4cOHWL9+PeLi4rh7DAB3Pu/cuQMLCwsolUpuXkn3L1ES93thjhw5ggULFqBatWpwdHTEgwcPcOTIEVy5cgW7du1CeHg45s2bh5o1a6JOnTq4f/8+wsPDcfPmTezZswfGxsaC7Y0ZMwb5+fmwtraGg4MD8vLykJiYiK1bt+Lvv/9GSEgIXF1dueW9vLyQkpKClJQU2Nvbw97enpvn5ORUaPmL+9mj7ftBE+Hh4Vi8eDEsLS3h6OgIExMTbt6VK1cQGBiI169fw8zMDEqlEi9evMCpU6dw6tQpfPXVV5g8ebLW+xRzd3eHoaEh4uPjUb16ddStW5ebx7+nC/PmzRsMHDgQDx8+RP369aGnp4eEhAQsWbIEKSkpmDt3rso6Bw4cwLfffoucnByYm5vD1dUVz58/x4kTJ3Dy5EnMmDFD8EDhzZs3GDBgABISEmBoaIi6devC2NgYjx8/xpkzZ3DlyhUMHTq0eCeEEFL5MIQQ8gF49OgRo1QqGaVSyTx69IibfvXqVUapVDKfffaZYPk1a9YwSqWSadu2LaNUKpmEhARuXnJyMqNUKpn27dsL1tm0aROjVCqZZs2aMadPn+amP336lBk0aBCjVCoZf39/rcr94sULpkGDBoy3tzdz8eJFwbzMzExm//79TGxsrGD6sGHDGKVSyZw/f152u7t27RIcE8MwTE5ODrN9+3amUaNGTKdOnZi8vDzB/IMHDzJKpZJxd3dn/vnnH256amoqM3r0aKZx48aMUqlkvvvuO8F6jx8/Zlq2bMm4ubkxK1euZLKysrh50dHR3Dk+duyYZieFYZjY2Fjm+PHjgm0xDMMkJCQwQ4cOZZRKJRMWFqayHnsPeHh4MDt37uSmv3nzhvn8888ZpVLJfP3114J18vPzmc8++4xRKpXM6NGjmdTUVG7e/v37mcaNGzONGjVSubcK891338meLy8vL0apVDJz587ljjEvL49ZsWIFo1QqmcaNG6tc9yVLljBKpZJZsmSJYPrOnTu5dXr06MHcv3+fmxcTE8Pt68SJE4L1zp8/zyiVSmbYsGEaH5PUfjt27KjxOiV1v7PXXaxjx47cuVm3bh13z7969YoZMGAAo1QqmbFjxzIeHh7M3r17ufWSk5OZTp06MUqlkgkJCVHZ7tatW5nHjx8Lpr179467flLnVO76aXKsRf3sKcr7oTDsOW3YsCGzdOlSJicnh2GYgvdRVlYWk5GRwXTo0IFRKpXM5MmTmTdv3nDrhoWFMQ0bNmSUSiUTEREh2C77fuGXk6+w+1/8PtNk2+w2GzduzAwdOlRwTY8ePcqV9e7du4L1YmNjGXd3d6ZJkybMtm3bBJ+lR48eZby8vJiGDRsK7uXg4GDJzxiGYZikpCTmzz//lC0/IeTDRdXsCSEftEaNGsHc3By3bt1Ceno6Nz0qKgp6enoYPXo09zeLrdYrzsqvXbsWADBp0iS0bt2am2dra4vFixfD0NAQV65cka1iKSUhIQH5+fnw9fWFt7e3YJ6xsTF69uyJBg0aaHHEBfr06aOSpTMwMIC/vz969OiBR48eqVTn/vPPPwEAX331laBX6GrVquH333+X7WH7zz//RFpaGj7//HN88cUXgpEEvLy8MHv2bADA+vXrNS5/gwYN0KFDB5VRCerUqYP//e9/AIB9+/bJrt+/f39BD+0WFhZcddxTp04Jlj1//jxu3LgBExMT/Prrr6hWrRo3r2fPnhg0aJDaqrba2rx5M9LT09GwYUPMmDGDO0Y9PT18+eWXaN++PXJycgSZdE3k5ubil19+EfTs7unpCX9/fwDAyZMndXYMfElJSYLqzeKf//73v9yyJXW/F6Zdu3YYNWoUV5OjSpUqmDhxIgAgIiIC/v7++OSTT7jl7e3tERgYCED1fgGAgQMHqoyoYWJigi+//BLe3t6IjIyUraKvLV189mjzftBUu3btMGHCBBgYFFQCVSgUMDIywv79+5GcnAwbGxvMnz9fUJvis88+w8CBAwEAq1evLtJ+S4K+vj5+++03wTX18/PjanOJz9GyZcuQnZ2NadOmYcCAAYIaQn5+fvjPf/6DvLw8bNy4kZvONukYMmSI4DMGKKihMnLkSN0eFCGkUqBq9oSQD5q+vj68vLy4KqXt27dHfn4+Ll26BDc3N3Tq1Anz5s1DVFQU92X34sWLAITB/L1795CSkgJjY2PJ6s92dnbo1q0b9u/fjzNnzuCjjz7SqHxsddsrV64gOTkZDg4OxT1kQZnDw8Nx584dvHr1igtIU1JSAAC3bt2Cl5cXACA9PR1XrlwBAMlhyqpWrYrOnTtLtmc9fPgwAHBBo1jbtm1haGiImJgY5Obmcl/+C5OdnY1Dhw7hwoULSElJwbt37wTt12/duiW7bv/+/VWmubm5wdjYGG/evEFqaio3xBv7Rb179+6wtrZWWW/IkCHYtGmTRmXWxJkzZwBAtkrtiBEjcOLECW45TTVs2BBNmjRRmc5OS0xM1LKkmilsaDr+Q6WSvN/VkbofGjZsqHZ+o0aNAMift2vXruHQoUO4e/cu0tPTkZeXBwB4+PAhgIL7UxzwF4UuPnu0eT9oqk+fPpLTT58+DaDg80DcPAEouL83b96MmJgYZGRkwMzMTKv9loS2bduiZs2aKtObNGmCw4cP49GjR9y07OxsnDhxAvr6+rJDOvr5+WHOnDmCh8TsvX/kyBG0b99e489BQsiHjT4pCCEfvBYtWuDUqVOIiopC+/btcevWLbx+/ZrLXtvb23PZeEA6M89mVezt7WW/fLJtZPmdahXGzs4O3bt3x99//42uXbvCx8cHLVu2hLe3Nzw9PYv8hW/VqlVYvHgx8vPzZZd59eoV9zohIQEMw6BatWqyAYhUB2Nv375FUlISAODHH39UW6asrCykpaXBxsam0PInJydj9OjRePDggUblF3N0dJScbm1tjZSUFGRkZHDBC3u95NoNOzk5wcDAQGfZeXZ//DbVfPXr1wcAPH/+HOnp6YLMpjpy7aXZBxRv377VsqSa0WZoupK63wsjdT/wH9xIzWfvD/F5YxgGP//8MzZv3qx2n+ruT23o4rNHm/eDpuTeL4Xd305OTjA0NEROTg4SEhJKpCaGtgp77/A7kIyPj0dWVhYMDQ0xZswYyfXYh4782hl9+/ZFcHAwwsLCcPLkSbRt2xbe3t7w9fXVup8VQsiHg4J5QsgHjw3K2SwJG6y3bNkSANC8eXPs27cPKSkpMDAwQHx8PGxtbQXVldkv9Oo63WKDVP6X/x07dnAdyvGx1amBgg7BXF1dERoaitOnT3OZLWtrawQGBgqqB2siKioKv//+O/T19TF16lT4+fnBwcEBpqamUCgUWLRoEVauXCkITtkvq+bm5rLblZrHb7pw6dKlQsuWmZmp0TFMnz4dDx48gIeHByZOnIiGDRuiatWqMDQ0RG5uLho3bqw2uJYLetjzyM/ws8cuF8zo6enBysoKz54906jshWH3J3cv8ae/fftW42C+sGMuL3R9v2uC3zkbS6FQcK+lmpDw5/Pt2bMHmzdvhpmZGb755hu0bt0adnZ23D6mTZuGffv26ezhT1E/e/i0eT9oSq7ZTWH3t0KhgLW1NZ48eVJiD5i0pc35efPmDYCCDicL+8zLysriXtvZ2WHbtm34448/EBERgV27dmHXrl0ACprDTJ8+Hc2aNSvWcRBCKh8K5gkhH7wmTZrAxMQE169fR0ZGBqKioqBQKLg2uy1btsS+ffsQGRkJQ0NDAMKsPPA+kH3x4oXsfp4/fy5YFiio0i71hY+/HWNjY0ycOBETJ07EvXv3cPHiRRw/fhwnTpzAggULAAABAQEaHy/bljwgIABjx45Vmc8O/cXHfpkVD2HGJ/XFm/8l+Pr169z5K44nT57gwoULMDU1xerVq1Xal7LNBHSFPYbU1FTJ+fn5+UUedlBuf2/evMGLFy8kM6b8e0Pdw5WKStf3e2lj31/fffcdBg0apDJf6v1VHEX97Ckr7PtJrrwMw+Dly5cAhOVlH57IPVhQ99lUmtgy29nZad0PhYuLC5YsWYLs7GzExMQgKioK4eHhuHz5MkaPHo19+/ahdu3aJVFsQkgFVb4exxNCSBkwNDSEp6cncnNzERMTg+joaNSvX5+rQskG7pGRkVz2vnnz5oJtsMNHpaSkyGaT2CHM+ENNTZw4Ebdv31b5kWtr6eLigoEDB2LlypWYNWsWAGD79u1aHS9b7V0uyyPV1tzR0RF6enpITU3F06dPJde7ffu2yjRLS0vUqFEDAHQ2hBs7Tne9evVUAnm5chQHe73u378vOf/hw4fIycnR+f7kzldcXByAgmyrpln5opDLPJcmXdzvpY1tQy/1/srJycG9e/ck1yvq+S7qZ09ZKez+jo+PR05ODvT19QUPs9hMPxvoiyUkJEhOL+37uG7dujA0NMSzZ8+K/JDPyMgIPj4+mDBhAvbv3w8vLy9kZGQgPDxct4UlhFR4FMwTQgjeB+whISFITU0VZN6dnZ1ha2uLqKgoLphnq+CzXFxc4ODggKysLISGhqps/8mTJzh06BAAoE2bNjops6enJwCoBNdsdV65Kutsp1NSmbHTp09LBvMWFhbw8PAAAK7qJ9+bN29w9OhRyf117doVALBhwwbJ+dpij+/FixeSWTq2Z29dYa/X33//LZmdL6xtdFH3FxISIjmf7WxPV/eRnMLuo9JW1Pu9tPHvT7GwsDDZYJR9X2p7HGXx2VMcbBlCQ0MF1cxZ7P3t5eUlqNnDthu/du2ayjqPHz/mmmOIFfW8FpWpqSnatGmD/Px8nXSMqa+vz3VSKfcglRDy4aJgnhBC8D6YP3bsmOBvVvPmzfHw4UPExcXByspKpfMmhULBVf1dunSpYAio58+fY8qUKcjJyYGnpyd8fX01Lte5c+cwf/58lSzW27dvuaC1cePGgnnsl15+T8l8bPOB1atXC3phvnr1Kn744QfJHqYBcEMjLV++nDtPQEFHXv/5z39kq7mOGTMG1apVw65duzBv3jy8fv1aMD8tLQ07duzA8uXLJdcXc3V1RdWqVfH48WOsWLGCC+izsrIwd+5c3Lx5U6PtaOqjjz5Co0aN8O7dO3z77beCjssOHDiALVu26LRjtsGDB8PCwgKxsbH43//+h+zsbAAF1fnXrFmDiIgIGBoaYtSoUTrbpxS2Ou/du3dlA1BdK4n7vbSx76/FixcLztvJkyexYMEC2fcXexzsqA6aKqnPnpLSq1cvODg44Pnz55g+fbqgNsGePXuwbds2AFDpPK5du3YAgKNHj+LEiRPc9KdPn2LatGncaAFi/IcA79690+mxyJk8eTKMjIywYsUKrF69WuVBwtOnT7FhwwZBx5CLFi1CaGioyufjnTt3cPDgQQDvR1AghBAWtZknhBAUZP3YHpQB1WC+RYsW3BeqFi1aSFbdHDp0KGJiYrB//36MHDkSdevWhYWFBe7cuYOcnBw4ODjgt99+06pcb9++xbp167Bu3TpYW1vDwcEBubm5ePjwId69ewdLS0tuPGhWjx49EBISgjVr1uCff/6Bra0tFAoFxowZg3bt2mHgwIHYsmULEhIS8PHHH8PZ2Rk5OTl48OABXF1d0aNHD25Meb7u3bujX79+2LlzJ8aNG4c6deqgatWquHv3LoyNjREQEICVK1eqdE5Ws2ZNLF++HOPHj8f69esREhICZ2dnmJqa4uXLl0hMTATDMOjRo4dG58TQ0BCTJ0/Gzz//jD/++AObN2+GnZ0d4uPj8fbtW8yZMwczZ87U6jyro1AosGDBAgwbNgwnT55Eu3bt4OrqitTUVCQlJWHIkCE4ceIE13yhuOzs7LBgwQJMnjwZGzZswO7du+Ho6Ijk5GS8ePECenp6+PHHH0u8l29ra2v4+vri/Pnz6Ny5M1xdXWFsbAwbGxssWrRI4+08e/YMgwcPVrvM2rVrYW5uXiL3e2kLDAxEeHg4rly5go4dO8LZ2RmvX79GUlISfHx8UKNGDa5dPV+bNm1QtWpVREdHo0OHDqhTpw4MDAzQtm1byb4t+Eris6ekmJqaYvHixQgICMCBAwcQERGBevXq4cWLF1x/F+PGjeM6AGW5uLigf//+2LFjB8aOHYvatWvD0tIScXFxcHR0xODBgwXjtrMaN24MJycnxMfHo0OHDnB2doahoSEaNGiAGTNmlMgxNmzYEL///ju++eYbLFy4EEFBQahXrx5X/Z49Tv4Di7i4OKxcuRI//fQT99n66tUrbihDHx8f9O7du0TKSwipuCgzTwghKKiK2bRpUwAFbbHFw6Pxq9WL28uzFAoFfvvtN8yfPx/NmzfHixcvEBcXh1q1aiEgIABhYWFaDzHk7e2NmTNnomPHjjAzM8O9e/eQlJQER0dHBAYG4uDBgyqZyubNm2PhwoVo2rQpnj59iqioKERGRnKdYFlYWGDz5s3o06cPLCws8ODBA+Tk5GDUqFHYtm2b2k6y5s6di1mzZkGpVOLJkydITk5Gx44dERoayrWNl1rf29sbBw4cwJdffgkXFxckJibi9u3b0NPTQ9u2bTFr1iytvlgPHToUv/76Kxo2bIi0tDQkJCTA3d0dq1evlh3Pvjjq16+PHTt2oFevXjAxMUFcXBzMzc3x448/4qeffirSNtlMolSngJ06dUJYWBg++eQTGBkZ4datW2AYBl26dMHmzZsxcODAYh2PphYuXIi+ffvCwsICN27cQGRkJK5cuaLVNrKzs3Hp0iW1P+y5KIn7vbQ5ODhg69at6Nq1KwwNDXH//n2uU7+1a9fK1uKwsLBAcHAw2rVrh5ycHFy+fBmRkZGyfTXwlcRnT0ny8PDAnj17MHDgQFhZWeH27dvIyMhAmzZtsHr1anz99deS682ePRuTJk2Co6Mjnjx5gpcvX2LgwIHYtm0bqlSpIrmOnp4eVq1ahW7dukFfXx9Xr15FZGSkZHMiXerSpQvCw8MxYsQI1KpVCw8ePMDdu3dhYmKCLl26YP78+YKHNOPGjcPYsWPRpEkTZGRkIDY2FpmZmWjZsiXmz5+PdevW0djzhBAVCqYo440QQgghInPmzMFff/2F77//nquST+R9+eWXOH78OAICAvDtt9+WdXEIIYQQUsFQZp4QQkixvX37lutky8vLq4xLUzHcuXMHQEH1YUIIIYQQbRU5mP/nn38watQo+Pj4oGnTpvDz88OUKVNUxvdNT0/HvHnz0LFjR7i7u6Njx46YN28e0tPTZbe9b98+9O/fH56enmjRogXGjBkj2XspIYSQ0rV+/XrExsYKpj158gSTJk3Cs2fP0LhxY665ApG3fv16JCUlcW2iCSGEEEK0pXU1e4ZhMGvWLGzbtg2Ojo5o06YNzM3NuXZqv/76K9eeNCMjA0OGDEFsbCxat26NRo0a4datWzh16hQaNmyIzZs3C4YdAYCVK1di0aJFcHBwQLdu3bhxNbOyshAcHAwfHx/dHT0hhBCtDB8+HJGRkbC0tESdOnWQnZ2N+/fvIz8/H1ZWVti4cSOUSmVZF7PcCggIwO3bt/Hs2TMABVXt//Of/5RxqQghhBBSEWkdzG/cuBH//e9/MXToUMyYMQP6+vqC+bm5uVwHHUuWLMGyZcsQGBiIb775hluGnT5+/HhMmjSJmx4fH4+ePXuidu3a2LFjBywtLQEU9PDp7+8PW1tbHDx4kDoAIYSQMvLPP/9g9+7duHnzJl6+fAmGYWBvb4+2bdtizJgxsLOzK+silmstWrRATk4O6tWrh4EDB5ZaR3aEEEIIqXy0CuYzMzPRvn17WFpa4u+//1YbVDMMg3bt2iE9PR1nzpwRZOCzsrLQtm1bmJiY4MSJE9wQT7///jtWrVqF+fPno0+fPoLtzZo1C1u3bkVwcDDatGmj5WESQgghhBBCCCGVh1Zt5s+cOYO0tDR07twZ+fn5OHz4MFavXo0tW7Zw42Cy4uPj8fTpU3h5ealUpTc2Nkbz5s3x5MkTwXqRkZEAgNatW6vsm21TGBUVpU2RCSGEEEIIIYSQSker+urXr18HAOjr6+PTTz/FgwcPuHl6enoYOXIkvvvuOwDggnQnJyfJbdWtW5dbjl0mPj4eZmZmsLW1lV0+Pj5ebRlTU1M1Pp6iqlq1Kl69elXi+yGkNND9TCoLupdJZUL3M6ks6F4mlUlp3s9WVlaFLqNVMP/ixQsAwJ9//olGjRohNDQULi4uiI2NxY8//oh169ahTp06GDJkCN68eQMAsLCwkNwWO51dDijo+d7a2lrt8up6wQcKTrCeXsmPuKfJySWkoqD7mVQWdC+TyoTuZ1JZ0L1MKpPydD9rFcyzzesNDQ2xbNkyrqOj5s2bY8mSJfj000/x559/YsiQIbovqYZK40mJlZVVqdQAIKQ00P1MKgu6l0llQvczqSzoXiaVSWnez5o8NNAqhc1mx93d3VV6LK5fvz7q1KmDhIQEvH79muuJXi6Tzk5nl2O3z8/USy0vl+knhBBCCCGEEEI+FFoF8/Xq1QMgDMD52OmZmZmFtnFn29SzywEF7eszMjK48Xellpdrg08IIYQQQgghhHwotArmfXx8AAD3799XmZeTk4OEhASYmZnB2toaTk5OqFGjBi5duoSMjAzBsllZWbh48SJq1KghCOZbtGgBoKDXfLFTp04JliGEEEIIIYQQQj5UWgXzjo6OaNOmDR4+fIjQ0FDBvNWrV+P169fo3LkzDAwMoFAo4O/vj4yMDCxbtkyw7KpVq/Dq1Sv4+/tzY8wDQN++fWFgYIAVK1YIqtvHxcVhz549cHR0hK+vb1GOkxBCCCGEEEIIqTQUDNurnYYSEhIwaNAgvHjxAh06dEC9evVw8+ZNnD9/HrVq1cK2bdu4oeUyMjIwZMgQxMbGonXr1mjcuDFu3bqFkydPomHDhti8ebPKGPQrVqzA4sWL4eDggG7duiEjIwPh4eHIysrC2rVrCw3mS6NDAurIg1QmdD+TyoLuZVKZ0P1MKgu6l0llUt46wNM6mAeAlJQULFmyBKdOnUJaWhpsbGzg5+eH8ePHo3r16oJl37x5g6CgIBw6dAjPnz+HjY0NunXrhgkTJsi2vd+7dy82bNiAu3fvwtDQEJ6enpg0aRKaNm1aaNkomCdEO3Q/k8qC7mVSmdD9TCoLupdJZVIpgvnyjIJ5QrRD9zOpLOheJpUJ3c+ksqB7mVQm5S2Y16rNPCGEEEIIIYQQQsoeBfOEEEIIIYQQQkgFQ8E8IYQQQgghhBBSwVAwTwghhBBCCCGEVDAUzBNCCCGEEEIIIRWMQVkXgJByg8kr6xKUjfw83Ry7Qr/42yCEEEIIIYRohIJ5QgghhBBCKqG8cpCnyMsrH+UoDn3KV5ByiqrZE0IIIYQQQgghFQwF84QQQgiA/fv3w9fXF/v37y/rohBS4fXp0wd9+vQp62JozNfXF+PGjSvrYhBCiFaomj0h5IOjyEwp6yLIYkzsi72N5ORk9O3bVzDNwMAA1tbW8PT0xPDhw1G/fv1i7+dD4evri2bNmmHFihUlup8rV65g27ZtuHbtGlJTU2Fqagpra2u4ubnBx8cHPXv2LNH9l1eXL1/GiRMncOnSJaSkpCAzMxP29vZo27YtPv/8c1haWpbIfkvrupe0Pn364PHjx2qX+eeff7Q+jz///DMOHDiAsLAwODg4FKeIpWLcuHGIiYnB+fPny7oolYI21eYrQzX7oqLq+aSkUTBPCCGVVO3atdGtWzcAwLt373D9+nUcPnwYERERCAoKQtOmTcu4hOVLhw4d4O7uDhsbm1Lf9/79+/Hf//4X+vr6aNWqFerUqYOsrCwkJSXh7NmziImJ+WCD+R9++AGvXr1C06ZN0aNHDwDApUuX8NdffyEiIgKrV6+GtbV1GZeyfNPX18fIkSNl5xsZGel8n0FBQTrfZknaunUrTExMyroYhBCiFQrmCSGkkqpduzbGjBkjmLZy5UqsX78eK1euxPLly8uoZOWThYUFLCwsSn2/mZmZ+P3332FmZobVq1fDxcVFMD83NxfR0dGlXq7yYtCgQejRo4fgIQvDMPj1118RFhaG4OBgfPPNN2VYwvJPX19f5bOgpNWuXbtU91dcTk5OZV0EQgjRGgXzhBDyAfH398f69esRGxvLTWOrE8+ePRsrV67E+fPnkZqaiqCgIHh7ewMAwsPDERYWhvv37wMA6tWrh759+6pki6OjozF+/HgEBASgefPmWL16NW7dugVDQ0P4+vpiwoQJqFGjhkq5Xr58iY0bN+L06dN48uQJzMzM0KxZM4wZM0YluGXb4W7ZsgWrVq3C0aNHkZaWBmdnZ4wcORJ+fn6C5dPT07F582YcO3YMT548gZ6eHmxsbODu7o6xY8fCzs4OQEF2fO7cuZg5cyZ69erFHQsAxMTEwNfXl9vmzJkzAQBz587FhAkTMGzYMJVjOnv2LKZMmYIBAwZgypQpstfk3r17yMjIQLt27VSOFShoIuHj4yO57smTJ7Fz507ExsYiMzNT0JSCv61Xr17hzz//xIkTJ/D8+XNYWFjAy8sLgYGBcHZ2FmyTrT69c+dOnDx5Env37kViYiK6dOmCn376CYB21yshIQEbNmzApUuX8OLFC5iamsLOzg7e3t6YPHmy7HlhjRgxQmWaQqHA6NGjERYWhpiYmEK3wRcdHY1Nmzbh7t27ePXqFapWrYo6deqge/fu6N27d6HXvVevXkhPT0dYWBjOnTuHR48eIS0tDdWqVUOLFi0QEBAgGcimpaVhxYoVOHnyJDIyMlCvXj18/vnnSE9PF9x3fHFxcdiwYQNiYmLw6tUr2NjYoE2bNhgzZgyqVq2q1XFr6vnz59i4cSPOnj2LZ8+ewdjYGLa2tvDw8MD48eNhbm4uqLrPb9LDb5bAvk93797NzV+zZg2Cg4OxbNkypKSkYMuWLUhMTIS1tTUGDRqEgQMHgmEYbN++HWFhYUhJSYGdnR1Gjx6Njz/+WFDOhIQE7NmzB1FRUXj8+DEyMzNhZ2eHDh06YNSoUTAzM+OW5V9D/usePXpw97Rcs4qivHfCwsJw9uxZhIaGIiUlBdbW1ujVqxdGjx4NPT3qrooQojsUzBNCyAdEoVBITn/9+jXGjBmDKlWqoHPnzsjJyYG5uTkAYPHixdi6dStsbW3xySefQKFQ4Pjx45gzZw7i4uLw9ddfq2zvxo0b2LhxI1q1aoUBAwbg9u3bOHz4MK5cuYJ169ahevXq3LKJiYn46quv8OzZM/j4+KBdu3ZITU3F8ePHceHCBSxduhTu7u6C7efl5WHSpEl4/fo12rdvj6ysLBw5cgQzZszA4sWLueCXYRhMnjwZN27cQNOmTeHr6ws9PT2kpKTgxIkT6NGjBxfMi9nb2yMgIADBwcGoWbOm4MGFUqmEo6MjFi9ejL1790oG83v27AEAfPrpp2quCFClShUABX0d5Ofna/xlf+nSpQgJCUGVKlXQvn17WFlZ4cmTJ4iKikKDBg24oPrVq1cICAhAYmIivLy80KVLF6SkpODYsWM4e/YslixZgiZNmqhsf+HChbh+/Tpat26N1q1bc1XZtblez549Q0BAAN69e4fWrVvD0dER7969w6NHjxAaGqpRMC/HwKDgK4y+Fo1Sz5w5g2nTpsHS0hJt27aFjY0NUlNTERcXh0OHDqF3796FXncAiI+Px5o1a+Dt7Y327dvDxMQEDx8+xOHDh3HmzBls2LAB9vbv+7/IyMjAuHHj8ODBA3h4eMDDwwPPnj3DTz/9hJYtW0qW9ejRo/j666+hp6eHtm3bokaNGoiPj8eOHTtw4cIFBAcHc/eOrmRmZmLs2LFISUmBj48P2rdvj9zcXCQlJSE8PBzDhg2Dubk5Bg0ahPDwcMTFxWHgwIFcjRb+Mauzbds2XLp0Ce3atYO3tzeOHz+ORYsWwcTEBHFxcTh27Bhat24Nb29vHDlyBLNnz4a9vT08PT25bURERGDfvn3w9vaGl5cXGIbB9evXsWnTJsTExGDlypXcPRIQEIDw8HA8fvwYAQEB3DbY6ymnqO+doKAgXLp0Ca1bt4aPjw9OnjyJtWvXIicnhzrZI4ToFAXz5MPESPTEIjXtQ5CfV/RjV1DPLhXN9u3bAQANGzYUTL937x569eqF77//XhAcXb58GVu3boWTkxPWrl3LfWkfM2YMAgICsHXrVnTo0EHwJRsAzp8/jx9++EEQyAYHB2PNmjVYuXIlZsyYwU2fPXs2Xrx4IQjCAWDUqFEYOXIk5s2bh5CQEMH2nz17hoYNG2L58uUwNDQEAPTr1w8jR47Eli1buO3cu3cPN27cQPv27TF//nzBNrKzs5Gbmyt7rhwcHDBmzBgEBwfD3t5esppy9+7dsWPHDsTExKBZs2bc9JcvX+LMmTNo3LgxXF1dZfcBFFRHdnNzw+3btzF+/Hj07NkTjRs3hqOjo2ygevbsWYSEhMDFxQXLly8XZGlzc3Px6tUr7u+goCAkJibi888/FwQSPXv2xNdff42ff/4Z27ZtU3mIcPfuXWzcuBE1a9YUTNfmeh0/fhxv3rzBf/7zHwwcOFCwnbS0NLXnpTD79u0DANlgWG4dhmGwbNkylU4g2XOmyXV3cnLC/v37VbLj0dHRmDhxIv7880/88MMP3PRNmzbhwYMH6N+/P6ZNm8ZN79WrF1cLQFyWb7/9FtWqVcPq1asF1+Dw4cP46aefsHr1asG21MnLy8OaNWsk51WvXp3LrkdFRSE5ORmDBg1SeUj39u1brm39oEGDcOfOHS6Y17YDvMuXL2PDhg2oVasWAGDo0KHo378/li5dCmtra4SEhMDKygpAwX0aEBCAkJAQwedM9+7dMXjwYO79z2I/Z44cOYLu3bsDKPi8unTpEh4/fqxVc4Oivndu3bqFv/76i2saMnr0aPj7+yM0NBSBgYEqZSaEkKKiuj6EEFJJJSYmYs2aNVizZg2WLFmCsWPHYv369TA2NlbJDhkaGmLChAkqwWN4eDgAIDAwUNCe3MLCAoGBgYJl+OrWrYtPPvlEMG3o0KGwsrLC4cOHkZOTAwC4ffs2rl27hh49eqhUJXd0dETv3r1x79493Lt3T2UfX3/9teBL8UcffYSaNWvi5s2bKssaGxurTDMyMhJUxS0Ktirx3r17BdMPHDiA3Nxc9O7du9BtKBQK/O9//0OTJk0QExODuXPnYvDgwejUqRMmTJiA/fv3I0/UFfSOHTsAAFOmTFEJKA0MDLiaDzk5OTh8+DCqVq2KUaNGCZbz9fWFr68vHj16hKtXr6qUa+jQoSqBfFGvl9T5r1atmpqzot6dO3cQHBwMKysrDB8+XOv1pcqjTbV1CwsLyeW9vb3h7OyMqKgowfS///4bRkZGgqwwuzy/2jfrwIEDSE9Px7hx41SuQdeuXeHm5oYjR45oXN68vDwEBwdL/uzatUtleanzY25urrMgdMCAAVwgDwB2dnbw8PBAeno6Ro4cyQXyANC4cWPUqlULcXFxgm3UqFFDsjz9+/cHAJVroK3ivHdGjx4t6OOhWrVqaNu2LTIyMvDw4cNilYsQQvgoM08IIZVUYmIigoODAbwfmq5r164YMWKESrbYwcFBMri6ffs2AMDLy0tlHjtN/CUbAJo2bapSpd/ExARubm44f/48EhIS4OLiguvXrwMoyGRLZQ7ZL74PHz4UtMW2tLSUzAbWqFGD2yZQkEF1cXHB4cOH8fTpU7Rr1w6enp5wc3PTqnq2HFdXVzRp0gTHjh3D1KlTuQce+/btg5mZGTp37qzRdmrVqoU1a9bgzp07iIqKws2bN3Ht2jVcvHgRFy9exMGDB7Fo0SIuM3rz5k0YGRkJagNIiY+PR1ZWFry8vCR76vby8sL58+cRFxenUruicePGKstre73atGmD5cuX47fffkNUVBR8fX3h4eEBR0dHjc6LlOTkZEydOhX5+fmYO3euyn0rVa5BgwbB0tISnTp1QkREBAIDA9GlSxd4e3vD09OzSL3hR0dHY9u2bbhx4wbS0tIED1z4Qebbt2+RkpKCevXqCYJUVpMmTVSGS2PP840bN5CYmKiyTnZ2NtLS0ri2+oUxMjLCyZMnC12uWbNmqF69OjZu3Ii4uDi0atUKHh4ecHV1lW2iUxRS1dvZB1BSw2ZWr14dN27cEExjGAb79+9HeHg47t+/j/T0dOTn53Pznz9/XqwyFue94+bmprI821dIenp6scpFCCF8FMwTQkgl5evri8WLF2u0rFwwk5GRAT09PckgxNraGnp6epJfTqWW5++HXef169cACtoynzlzRrZ87969E/zNtucX09fXF3yhNzAwwLJly7B27VpERERgyZIlAAoyZf7+/hg5cmSxg/revXtj7ty5+Pvvv9G/f39cvnwZDx8+RO/evbXO/CuVSkGgEx0djf/7v/9DdHQ0du7cicGDBwMA3rx5A1tb20Lb1799+xaA/PUVXw+peXzaXi8HBweu07Nz587h6NGjAApqbowdOxadOnVSW36xlJQUfPXVV0hLS8O8efO4Dhr52AdYfD179oSlpSW6dOkCAwMDbNu2Dbt378bOnTuhUCjg5eWFyZMnF9qGmnX06FHMnDkTpqam8PX1hb29PRfwsW2zWew1kAu61Z1ntgaGnHfv3hWrhoOYhYUF1qxZg7Vr1+L06dM4e/YsgIJAdMSIEVzWu7ik3r/s+1Bunrh2ysKFC7Fjxw7Y2dmhTZs2sLGx4R6iBAcHIzs7u1hlLM57R93xiY+DEEKKg4J5QgghsszMzJCfn4/U1FSVL7UvX75Efn6+5BfX1NRUye29fPkSALgMNrvu1KlT4e/vr8uic6pVq4Zp06Zh6tSpiI+PR3R0NEJDQ7FmzRoYGBjg888/L9b2O3fujD/++AN79+5F//79uSr3mlSxL4y3tze++OILzJ07FxcvXuSCeUtLS+78qwvo2fPLnncxdrrcwxG57WlzverXr49ffvkFubm5uHXrFs6dO4ft27dj5syZsLGxgYeHh0bbSU5Oxvjx4/H8+XP873//Q5s2bSSXE2e5xTp27IiOHTvi7du3uHr1KteR2uTJk7F9+3ZYWloWWpa1a9fCyMgI69evV6llIK7+zp4zuT4CpK4Nuw7bL0JpcnBwwE8//YS8vDzcu3cPFy5cwPbt2/Hbb7+hSpUq6Nq1a6mWR8rLly+xc+dOuLq6Yu3atYLM+YsXLyQf6GhL1+8dQggpCdRmnhBCiCy2uuilS5dU5rFDgkllM69evQqGYQTTMjMzcfv2bRgbG3MBEFuV+9q1azottxSFQgFnZ2f079+fy9CfOnWq0PX09PQE2X4xExMTdOvWDXfu3MGlS5dw7NgxuLq6olGjRjopt1QV30aNGiE7O7vQYdmcnJxgbGzMDV0npu4aSinO9TIwMIC7uzvGjBmDKVOmgGEYtdl9vuTkZK4H/blz56Jdu3Za71/M3NwcH330Eb7//nv07NkTqampgqrc6q57UlISnJycVAL5Z8+eqVSLNzc3h729PRITEyUfckmdy9J8X8jR19eHUqnE8OHDMWfOHADC9wubaVb33igpycnJYBgGLVq0UHl/XL58WXIdbTPjun7vEEJISaBgnhBCiKwePXoAKKi2ylY7BQqqoLLZL3YZvocPH3K9jbNCQkKQmpqKrl27ctVhGzdujMaNG+Off/7BP//8o7Kd/Px8yQcJmkpOTsaDBw9UprNZNamOvsSqVKmCp0+fql3ms88+AwDMmjULmZmZWmXlk5OTERoaKji/rHfv3mHbtm0AIMhgs9Wdf//9d0HP9UBBb/YvXrwAUNB2u0uXLkhLS8OGDRsEy0VGRuLcuXOoXbs2mjZtqlFZtb1eN2/elMxsanP++YH8nDlz0KFDB43KKiUqKgpZWVkalUfdda9ZsyYSExO58wwAWVlZWLBggWSw2K1bN2RnZ6tkjKOjoyVrEvTq1Qvm5uZYtWoV7t+/rzI/MzNT0DeErty7dw8pKSkq0+XOD4BC3xslge0U8Nq1a4KHCU+fPsXy5csl19G2vLp+7xBCSEmgavaEEEJkNWvWjBtSaciQIejYsSMYhkFERASePHmCAQMGSHbC5uPjg19//RVnzpyBk5MTbt++jfPnz8POzg5ffvmlYNk5c+bgq6++wo8//oht27ahQYMGMDIywpMnT3Dt2jWkpaVp1HmXlLi4OHz33Xdo1KgR6tWrh+rVq+PZs2c4ceIE9PX1MWTIkEK34e3tjaNHj+L777+HUqmEvr4+WrVqJehE0MXFBU2aNMG1a9dgbGzMDYmlifT0dCxcuBBBQUHw8PBAvXr1YGxsjGfPnuH06dN4/fo1GjRogAEDBnDrtGrVCkOHDkVISAj8/f3Rvn17WFtb49mzZ4iKisLQoUMxaNAgAMD48eMRExODP//8E9euXUPjxo25sbJNTEwwc+ZMjce2B7S7XocOHcLOnTvh5eWF2rVrw9zcHA8ePMC5c+dQrVo1lREPpHz11Vd4/Pgx3N3dcffuXdy9e1dlGU2HG1uyZAmePHmCZs2awd7eHgqFAleuXMHNmzfRpEkTQWCm7rr7+/tj4cKF+Pzzz9GxY0fk5eUhMjISQEGzAnGnkMOHD8fx48exY8cO3L17Fx4eHnj69CmOHj2KNm3a4PTp04JrYGVlhd9//x2TJk3C8OHD4evri7p16yI7OxspKSmIiYlB06ZNNe4TQ93QdEBBnwIODg6IiorCkiVL0LRpU9StWxdVq1ZFUlISTp8+DWNjY0GbeW9vb4SEhGD+/Pnw8/ODqakp7Ozs0K1bN43KVBw2Njbo2LEjjh8/jpEjR6JFixbccJDe3t5ISkpSWcfb2xvHjh3DjBkz8NFHH8HY2BguLi5o3bq17H50/d4hhBBdo2CeEEKIWlOnToWbmxvCwsKwe/duAEC9evUwZswY9OrVS3Idd3d3jBw5EqtWrcK2bdu4LNeECRO4XqtZDg4O2LhxI7Zs2YKTJ09i37590NfXR/Xq1eHp6Qk/P78il71hw4YYMWIELl26hDNnziA9PR3Vq1eHj48Phg4dKtlju9iUKVMAFGRRT5w4gfz8fFhbW6uMCNCzZ09cu3YNHTt21KjdNcvJyQnz5s3DhQsXcOPGDfz999948+YNzM3N4ezsjA4dOqBv374qWeyJEyfC3d0dO3bswPHjx5GdnY3q1aujefPmgrHXraysEBwcjHXr1uHkyZO4fPkyLCws0K5dOwQEBGjdJlub69WlSxdkZ2fj6tWriI2NRXZ2NmrUqIF+/fph6NChXA/f6rCdyV2/fl02G61pMD9ixAhERETg9u3buHDhAgwMDODg4IAJEyagX79+gs4Q1V33/v37w8DAAKGhodi7dy8sLCzQqlUrjBs3DjNmzFDZr7m5OVauXInly5fj1KlTiI2NhbOzM37++WcuWBa3ve7QoQM2btyIv/76C1FRUYiMjISpqSlsbW3Rq1cvrR4YsUPTyfHy8oKDgwN8fHzg7++PmJgYRERE4N27d7C1tUXnzp0xbNgwODs7c+u0atUKEyZMwJ49e7Bp0ybk5uaiWbNmpRLMA8CPP/4Ie3t7HD9+HKGhobCzs8OgQYMwYsQIyf4UevfujZSUFBw5cgTr169HXl4eevTooTaY1/V7hxBCdE3BiBs1VnBynS7pkpWVVansh5QgRqLNnNS0D4BVVSukviri/azQl35NPljR0dEYP348AgICNA6wdKWsP5sXLFiAsLAwrFixotAh4whhzZo1C4cOHcKWLVsEwXJZ38+kciipzvO12W5luJeLOuiJDkZAJeVMad7PciMD8VHdIEIIIaSYUlNTcfDgQTg5OVEgTyRJjXt+6dIlHDlyBHXr1hUE8oQQQogmqJo9IYQQUkRnzpzB7du3cezYMbx79w4BAQFlXSRSTk2ZMgXGxsaoX78+TE1N8eDBA5w/fx56enpclX5CCCFEGxTME0IIIUV09OhRHDhwALa2thg3bhy6dOlS1kUi5VSPHj1w6NAhHDlyBG/fvoWlpSXatGmDESNGwN3dvayLRyqxkqhqr8028/JKrrp/SaIq8qQioDbzRVAZ2v588KjNPIfazJPKgj6bSWVC9zPRhZIKpD+ENvP8YJ7azBMWtZknhBBCCCGEEEJIsVAwTwghhBBCCCGEVDAUzBNCCCGEEEIIIRUMdYBHCCGEEELIB07bTu20WbYidoCnDWobT8oKZeYJIYQQQgghhJAKhjLzhBBCCCGEkCIpLOv+IWTmpVC2npQGyswTQgghhBBCCCEVDGXmCQEKxpj/QMeZR34Rjp3GlCeEEEIIIaRMUWaeEEIIIYQQQgipYIoUzPv5+cHNzU3y56efflJZPj09HfPmzUPHjh3h7u6Ojh07Yt68eUhPT5fdx759+9C/f394enqiRYsWGDNmDK5du1aU4hJCCCGF2r9/P3x9fbF///6yLgohFV6fPn3Qp0+fsi6Gxnx9fTFu3LiyLgYhhGilyNXsLS0t8fnnn6tMd3d3F/ydkZGBYcOGITY2Fq1bt0bPnj1x69YtrF+/HhcuXMDmzZthZmYmWGflypVYtGgRHBwcMGjQIGRkZCA8PByDBw9GcHAwfHx8ilpsQghBSoqirIsgy96eKfY2kpOT0bdvX8E0AwMDWFtbw9PTE8OHD0f9+vWLvZ8Pha+vL5o1a4YVK1aU6H6uXLmCbdu24dq1a0hNTYWpqSmsra3h5uYGHx8f9OzZs0T3X169fPkS+/btw61bt3Dr1i2kpKQAAM6fP1+i+y2t617S+vTpg8ePH6td5p9//oGlpaVW2/35559x4MABhIWFwcHBoThFLBXjxo1DTExMid83hBBSmooczFepUgUTJ04sdLm1a9ciNjYWgYGB+Oabb7jpS5YswbJly7B27VpMmjSJmx4fH4+lS5fCyckJO3bs4P65DB8+HP7+/pg5cyYOHjwIAwNq7k8IIerUrl0b3bp1AwC8e/cO169fx+HDhxEREYGgoCA0bdq0jEtYvnTo0AHu7u6wsbEp9X3v378f//3vf6Gvr49WrVqhTp06yMrKQlJSEs6ePYuYmJgPNph/8OABVqxYAYVCgTp16sDExASZmZllXawKRV9fHyNHjpSdb2RkpPN9BgUF6XybJWnr1q0wMTEp62KUGqne5Ys6zvyH3ps99VpPylKJRsQMwyA0NBRmZmYYP368YN4XX3yBv/76Czt27MDEiROhUBRkysLCwpCbm4tx48YJnhLXr18fvXv3xtatW3H+/Hm0adOmJItOCCEVXu3atTFmzBjBtJUrV2L9+vVYuXIlli9fXkYlK58sLCxgYWFR6vvNzMzE77//DjMzM6xevRouLi6C+bm5uYiOji71cpUXTk5OWLFiBZRKJczNzTFw4EA8fPiwrItVoejr66t8FpS02rVrl+r+isvJyamsi0AIIVorcjCfnZ2NXbt24cmTJ6hSpQq8vLzQoEEDwTLx8fF4+vQp2rRpo1KV3tjYGM2bN8fRo0fx8OFD7kM0MjISANC6dWuVfbZt2xZbt25FVFQUBfOEEFIE/v7+WL9+PWJjY7lpbHXi2bNnY+XKlTh//jxSU1MRFBQEb29vAEB4eDjCwsJw//59AEC9evXQt29flWxxdHQ0xo8fj4CAADRv3hyrV6/GrVu3YGhoCF9fX0yYMAE1atRQKdfLly+xceNGnD59Gk+ePIGZmRmaNWuGMWPGqAS3bDvcLVu2YNWqVTh69CjS0tLg7OyMkSNHws/PT7B8eno6Nm/ejGPHjuHJkyfQ09ODjY0N3N3dMXbsWNjZ2QEoyI7PnTsXM2fORK9evbhjAYCYmBj4+vpy25w5cyYAYO7cuZgwYQKGDRumckxnz57FlClTMGDAAEyZMkX2mty7dw8ZGRlo166dyrECBU0k5JqXnTx5Ejt37kRsbCwyMzMFTSn423r16hX+/PNPnDhxAs+fP4eFhQW8vLwQGBgIZ2dnwTbZ6tM7d+7EyZMnsXfvXiQmJqJLly5cvzjaXK+EhARs2LABly5dwosXL2Bqago7Ozt4e3tj8uTJsueFVb16dVSvXr3Q5TQVHR2NTZs24e7du3j16hWqVq2KOnXqoHv37ujdu3eh171Xr15IT09HWFgYzp07h0ePHiEtLQ3VqlVDixYtEBAQIBnIpqWlYcWKFTh58iQyMjJQr149fP7550hPTxfcd3xxcXHYsGEDYmJi8OrVK9jY2KBNmzYYM2YMqlatqrNzwvf8+XNs3LgRZ8+exbNnz2BsbAxbW1t4eHhg/PjxMDc3F1Td5zfp4TdLYN+nu3fv5uavWbMGwcHBWLZsGVJSUrBlyxYkJibC2toagwYNwsCBA8EwDLZv346wsDCkpKTAzs4Oo0ePxscffywoZ0JCAvbs2YOoqCg8fvwYmZmZsLOzQ4cOHTBq1CjB907+NeS/7tGjB3dPyzWrKMp7JywsDGfPnkVoaChSUlJgbW2NXr16YfTo0dDTK799T+syM8+flp1d8FPR8DPuUtl3XWTkKatPiqvIwfyzZ88wffp0wbS2bdtiwYIFsLa2BgDuybnc0866detyy7HLxMfHw8zMDLa2trLLx8fHF7XYhBDyQWNrQYm9fv0aY8aMQZUqVdC5c2fk5OTA3NwcALB48WJs3boVtra2+OSTT6BQKHD8+HHMmTMHcXFx+Prrr1W2d+PGDWzcuBGtWrXCgAEDcPv2bRw+fBhXrlzBunXrBMFZYmIivvrqKzx79gw+Pj5o164dUlNTcfz4cVy4cAFLly5V6Y8lLy8PkyZNwuvXr9G+fXtkZWXhyJEjmDFjBhYvXswFvwzDYPLkybhx4waaNm0KX19f6OnpISUlBSdOnECPHj24YF7M3t4eAQEBCA4ORs2aNQUPLpRKJRwdHbF48WLs3btXMpjfs2cPAODTTz9Vc0UKmq0BBX0d5Ofna/xlf+nSpQgJCUGVKlXQvn17WFlZ4cmTJ4iKikKDBg24oPrVq1cICAhAYmIivLy80KVLF6SkpODYsWM4e/YslixZgiZNmqhsf+HChbh+/Tpat26N1q1bc//btblez549Q0BAAN69e4fWrVvD0dER7969w6NHjxAaGqpRMK9LZ86cwbRp02BpaYm2bdvCxsYGqampiIuLw6FDh9C7d+9CrztQ8D1kzZo18Pb2Rvv27WFiYoKHDx/i8OHDOHPmDDZs2AB7e3tuvYyMDIwbNw4PHjyAh4cHPDw88OzZM/z0009o2bKlZFmPHj2Kr7/+Gnp6emjbti1q1KiB+Ph47NixAxcuXEBwcDB37+hKZmYmxo4di5SUFPj4+KB9+/bIzc1FUlISwsPDMWzYMJibm2PQoEEIDw9HXFwcBg4cyNVo4R+zOtu2bcOlS5fQrl07eHt74/jx41i0aBFMTEwQFxeHY8eOoXXr1vD29saRI0cwe/Zs2Nvbw9PTk9tGREQE9u3bB29vb3h5eYFhGFy/fh2bNm1CTEwMVq5cyTXJDAgIQHh4OB4/foyAgABuG+z1lFPU905QUBAuXbqE1q1bw8fHBydPnsTatWuRk5NDnewRQnSqSMF837590bJlS7i6usLIyAj37t1DUFAQTp48ia+++gpbtmyBQqHAmzdvAEC22iI7nV0OKMigsF8Y5JZX1wt+1apVS+Wpp5WVVYnvg5Sg/DzVv8XTPiBWVbS8n/X0hb/Fr8u5d+/KugTydPHR8vbtWwAFGV3xZ9X69esBAE2aNBHMu3fvHvr27Yu5c+dCn5cquHjxIrZu3QoXFxds27aNa/705s0bDBgwAFu3bsUnn3yC5s2bAwA3//z585g7dy78/f25bQUFBWHp0qVYt24d/ve//3HTx40bh5cvXyI4OFhQK+vBgwfo168fFixYgH379nHT9fX18fjxYzRt2hSbN2/m2vueO3cOI0eORGhoKLp37w4AuH37Nm7cuIEuXbqotOHNzs4WPLTg/7aysoKVlRUaN26M4OBgODo64ttvv1U5171790ZISAju3r2LFi1acNNfvHiBs2fPwsPDQzBdSrVq1dC4cWPcuHEDX3/9NT777DN4eHjAyclJcC34Tpw4gZCQECiVSmzcuFFwLXNzc5GWlsZN+/XXX5GYmIgvvvhCUEPg1KlTCAwMxH//+18cPHiQ+99pbGwMALh//z727Nmj0rmZNtdr//79ePPmDWbMmIERI0YItvPy5csi/S9ly1mUdQ8dOgSGYbBp0yaV2oSpqakaX3dPT0+cPn0a1apVE0w/f/48Ro0ahc2bN2Pu3Lnc9A0bNuDBgwcYOnSoYNSfCxcucOeFve/Ysnz77bewtrbGli1bBNdg//79mDp1KjZu3Igff/yx0GPW19dHXl4e/vrrL8n5NjY2GDx4MADg2LFjSE5OxsiRI/H9998LlktPT4eRkRGMjIwwbtw4PHz4EHFxcRg7dqxkTQT23uVfJ1NTUwDA1atXsXv3btSpUwcAkJKSwr1Hq1evjvDwcO674ODBg+Hv74/t27ejY8eO3LYGDRqEcePGqbT3Zz9nzp07xz1I+/bbb3Ht2jU8fvxY8nqyDA0NBeUt6nvnzp072LdvH1cL6eXLl+jWrRt27NiBadOmlUgfBXLk2qtLTdMme65NZh6omN+bNc3M6+vLzy8s806Z+YqpPN3PRQrmJ0yYIPjbw8MDq1atwrBhwxAdHY0TJ06gQ4cOuiif1l69elXi+7CyskJqamqJ74eUICZP9W/xtA+EVRUrpL7W8H5mz5FCX/hb/LqcS0vV4IGfomyqQpqaFr83e/ZzMD4+HgsWLADwvgO8q1evwtjYGGPGjBF8jhkaGmLs2LF4/fq1YFtbt24FAIwaNQq5ubmCdUaNGoUff/yRC/aB9w9n69ati06dOgmW79evH/766y/s378fX3/9NQwNDXH79m3ExMTgk08+QaNGjQTLV6tWDZ9++im2bNmCixcvcvvI+/db4vjx4/H27Vvu4cVHH32EmjVr4urVq9x22ONRKBSyn9vZ/36DZbfz9u1blWVzcnIk1//4448REhKCkJAQuLq6ctM3b96MnJwc9OzZU6P/Fz///DP+7//+D5GRkVxzMxMTE7i7u6N79+74+OOPBYE9+1CGzWyL96Gvr4/U1FTk5ORg//79qFq1KgYPHixYzt3dHb6+vjh//jxOnDjBZT2zsrIAFARRpqamgnW0vV4ZGRkACq6ZuIzqrok6+fn5ksesCfZaZ2VlSa6v6XWXW97NzQ3Ozs44ffq0YN7u3bthZGSEYcOGCaYrlUruGvDvuy1btiA9PR1Tp05VuQatW7eGm5sb9u/fr/J9TEpeXh7y8vJkO6SrX78+9/CLTZYwDCN53Dk5Odz7hL1PXr16xT0IE+8XEJ6jd/8+Se3fvz8sLCy4eSYmJvDw8MDFixfxn//8R3Bv1KlTB7Vq1cLNmzcF2zIyMhK8/1m9evXC0qVLERERgbZt2wrKLi6P1PGx84vz3hk5ciQMDQ25dRQKBdq0aYMDBw7gypUrgs+KklYegvmK+r2ZgnkipTTvZ00eGuisAzw9PT307dsX0dHRuHTpEjp06MBlaOQy6ex0fkd3FhYWgky91PJl0UER+UBoEtBXtqA/P7vgRxNywbxcIF+BAvzKKDExEcHBwQDeD03XtWtXjBgxQuXLpIODg0qWESgI3gDAy8tLZR47LS4uTmVe06ZNVar0m5iYwM3NDefPn0dCQgJcXFxw/fp1AAWZqzVr1qhsh22u9fDhQ0FbbEtLS8nhsGrUqMFtEyho5uXi4oLDhw/j6dOnaNeuHTw9PeHm5iab9daGq6srmjRpgmPHjmHq1Knc/6d9+/bBzMwMnTt31mg7tWrVwpo1a3Dnzh1ERUXh5s2buHbtGi5evIiLFy/i4MGDWLRoEZfRu3nzJoyMjNCsWTO1242Pj0dWVha8vLwke+r28vLC+fPnERcXJ6jCDACNGzdWWV7b69WmTRssX74cv/32G6KiouDr6wsPDw84OjpqdF6KQqpcgwYNgqWlJTp16oSIiAgEBgaiS5cu8Pb2hqenp2yNQHWio6Oxbds23LhxA2lpaVzwChQ8HGO9ffsWKSkpqFevnuQXsyZNmqgMl8ae5xs3biAxMVFlnezsbKSlpXFt9QtjZGSEkydPFrpcs2bNUL16dWzcuBFxcXFo1aoVPDw84OrqKttEpyikqrezTW+khs2sXr06bty4IZjGMAz279+P8PBw3L9/H+np6dyDHqCg7X9xFOe94+bmprI8m6VXV7uUEEK0pdPe7Nl/UuyT18LauLP/9NnlgIIvXjExMXj27JlKu/nC2uATQgh5z9fXF4sXL9ZoWblgJiMjA3p6epJBiLW1NfT09CS/nMo9TWb3w67DZs7PnDmDM2fOyJbvnahthFQmECjISPO/0BsYGHDDoEZERGDJkiUACrLI/v7+GDlyZLGD+t69e2Pu3Ln4+++/0b9/f1y+fBkPHz5E7969VTp/LYxSqRQEOtHR0fi///s/REdHY+fOnVx16Ddv3sDW1rbQZmVs1lLu+oqvh9Q8Pm2vl4ODA9fp2blz53D06FEABf/3x44di06dOqktf1GwD7D4evbsCUtLS3Tp0gUGBgbYtm0bdu/ejZ07d0KhUMDLywuTJ08utA016+jRo5g5cyZMTU3h6+sLe3t7LuBj22az2GsgF3SrO887duxQW453795pFMxrysLCAmvWrMHatWtx+vRpnD17FkBBIDpixAj0799fJ/uRev+y70O5eXmi9O/ChQuxY8cO2NnZoU2bNrCxseEeogQHB3O1MIqqOO8dU1NzlWy13r9N0XJy8kp1mDZtMvPF6QCvsI/Ryjw0XXFQZp4Ul06D+atXrwIoyDAABUF3jRo1cOnSJWRkZAi+1GRlZeHixYuoUaOGIJhv0aIFYmJicObMGa4nVNapU6e4ZQjROU2r2le2zLymx01Z9g+SmZkZ8vPzkZqaqvKl9uXLl8jPz5f88i1XBe3ly5cA3tewYtedOnWqoH29LlWrVg3Tpk3D1KlTER8fj+joaISGhmLNmjUwMDDA559/Xqztd+7cGX/88Qf27t2L/v37Y+/evQAKgvzi8vb2xhdffIG5c+fi4sWLXDBvaWnJnX91AT17ftnzLsZOl3s4Irc9ba5X/fr18csvvyA3Nxe3bt3CuXPnsH37dsycORM2Njbw8PDQaDuaEme5xTp27IiOHTvi7du3uHr1KteR2uTJk7F9+3ZBbUE5a9euhZGREdavX69Sy+DIkSOCv9lzlpaWJrktqWvDrhMSEiI5wkFJcnBwwE8//YS8vDzcu3cPFy5cwPbt2/Hbb7+hSpUq6Nq1a6mWR8rLly+xc+dOuLq6Yu3atYLM+YsXLyQf6GhL1+8dQggpCVo3Cr17965Km0qgoJOkP//8E0ZGRtwHvUKhgL+/PzIyMrBs2TLB8qtWrcKrV6/g7+8vqLrVt29fGBgYYMWKFYLq9nFxcdizZw8cHR0Fw4oQQggpOWx10UuXLqnMi4mJASBdZfbq1atgGGH7/8zMTNy+fRvGxsZcAMRW5b527ZpOyy1FoVDA2dkZ/fv35zL07ENidfT09ATZfjETExN069YNd+7cwaVLl3Ds2DG4urqiUaNGOim3VBXfRo0aITs7m7sGcpycnGBsbMwNXSem7hpKKc71MjAwgLu7O8aMGYMpU6aAYRi12f2SZm5ujo8++gjff/8917cBvyq3uuuelJQEJycnlUD+2bNnKtXizc3NYW9vj8TERMmHXFLnsjTfF3L09fWhVCoxfPhwzJkzB4Dw/cJm0tW9N0pKcnIyGIZBixYtVN4fly9fllyHLa84wy9H1+8dQggpCVoH8wcPHkTbtm3x5ZdfYs6cOZg/fz4CAgIwbNgw5Obm4qeffhK0YwwMDETDhg2xdu1ajB49GgsXLsSYMWOwbNkyNGzYEIGBgYLtOzs7Y8KECYiPj8enn36KX375BT/99BMGDRqE3NxczJkzhxtqhBCiQ2yGnn7+/Sn9L6jlUY8ePQAUVFvldzT19u1bLvvFLsP38OFDQQ/0QEGWMTU1FV27duWqwzZu3BiNGzfGP//8g3/++UdlO/n5+ZIPEjSVnJyMBw8eqExns2ps79PqVKlSBU+fPlW7zGeffQYAmDVrFjIzM7XKyicnJyM0NFSlIy+goBr1tm3bAECQwWarO//+++8qHb/m5ubixYsXAArabnfp0gVpaWnYsGGDYLnIyEicO3cOtWvXRtOmTTUqq7bX6+bNm5KZTW3Ovy5FRUVxnZQVVh51171mzZpITEzkzjNQUONwwYIFksFit27dkJ2drZIxjo6OlqxJ0KtXL5ibm2PVqlW4f/++yvzMzExB3xC6cu/ePaSkpKhMlzs/AAp9b5SEmjVrAih42MF/mPD06VMsX75cch1ty6vr9w4hhJQEraNiHx8f3Lt3Dzdv3kRkZCSys7NRvXp19OjRAyNHjlT5UDMzM8OmTZsQFBSEQ4cOITIyEjY2Nhg5ciQmTJgg2Z5w3LhxqFWrFjZs2IAtW7bA0NAQzZo1w6RJk+hDk+iGXG/2H3I1e22PnardfxCaNWsGf39/hIaGYsiQIejYsSMYhkFERASePHmCAQMGSHbC5uPjg19//RVnzpyBk5MTbt++jfPnz8POzg5ffvmlYNk5c+bgq6++wo8//oht27ahQYMGMDIywpMnT3Dt2jWkpaVp1HmXlLi4OHz33Xdo1KgR6tWrh+rVq+PZs2c4ceIE9PX1MWTIkEK34e3tjaNHj+L777+HUqmEvr4+WrVqJehE0MXFBU2aNMG1a9dgbGzM9Q6uifT0dCxcuBBBQUHw8PBAvXr1YGxsjGfPnuH06dN4/fo1GjRogAEDBnDrtGrVCkOHDkVISAj8/f3Rvn17WFtb49mzZ4iKisLQoUMxaNAgAAW9/sfExODPP//EtWvX0LhxY26sbBMTE8ycOVOrIV21uV6HDh3Czp074eXlhdq1a8Pc3BwPHjzAuXPnUK1aNXzyySca7fPnn3/mXrMdm/GnTZo0SaO240uWLMGTJ0/QrFkz2NvbQ6FQ4MqVK7h58yaaNGki+I6h7rr7+/tj4cKF+Pzzz9GxY0fk5eVxoxDUr19fpVPI4cOH4/jx49ixYwfu3r0LDw8PPH36FEePHkWbNm1w+vRpwTWwsrLC77//jkmTJmH48OHw9fVF3bp1kZ2djZSUFMTExKBp06Ya94mRl5cn2TEgq2fPnnBwcEBUVBSWLFmCpk2bom7duqhatSqSkpJw+vRpGBsbC9rMe3t7IyQkBPPnz4efnx9MTU1hZ2eHbt26aVSm4rCxsUHHjh1x/PhxjBw5Ei1atMDLly9x5swZeHt7IykpSWUdb29vHDt2DDNmzMBHH30EY2NjuLi4CIZXFNPkvcMwelx7cLYyklQ7dfaZQ35+6bYf10Wb+cKWFbeZF+/TxKRgSNiK1j68OL3Za3qscue8op0rUna0DuZbtmyJli1barWOpaUlvv/+e5UxS9X59NNPufFBCSl3KlNAX5IPMsppwG9vr0HWXaEo+CGYOnUq3NzcEBYWht27dwMA6tWrhzFjxqBXr16S67i7u2PkyJFYtWoVtm3bxmW5JkyYwPVazXJwcMDGjRuxZcsWnDx5Evv27YO+vj6qV68OT09P+Pn5FbnsDRs2xIgRI3Dp0iWcOXMG6enpqF69Onx8fDB06FDJHtvF2PGl2aFX8/PzYW1trTIiQM+ePXHt2jV07NhRo3bXLCcnJ8ybNw8XLlzAjRs38Pfff+PNmzcwNzeHs7MzOnTogL59+6pksSdOnAh3d3fs2LEDx48f5x6uN2/eXPB/2srKCsHBwVi3bh1OnjyJy5cvw8LCAu3atUNAQIDWbbK1uV5dunRBdnY2rl69itjYWGRnZ6NGjRro168fhg4dyvXwXZgDBw6onRYYGKhRMD9ixAhERETg9u3buHDhAgwMDODg4IAJEyagX79+gs4Q1V33/v37w8DAAKGhodi7dy8sLCzQqlUrjBs3DjNmzFDZr7m5OVauXInly5fj1KlTiI2NhbOzM37++WcuWBa3ve7QoQM2btyIv/76C1FRUYiMjISpqSlsbW3Rq1cvrR4Y5eXlqW1H7uXlBQcHB/j4+MDf3x8xMTGIiIjAu3fvYGtri86dO2PYsGFwdnbm1mnVqhUmTJiAPXv2YNOmTcjNzUWzZs1KJZgHgB9//BH29vY4fvw4QkNDYWdnh0GDBmHEiBFo06aNyvK9e/dGSkoKjhw5gvXr1yMvLw89evRQG8xr8t6hjt0IIWVJwYgbNVZwpTHuX0UdL5PgfTAqHoqNHZ5N04C2EgXz3Djz2mTdFfrvf/h/i+kZ6a6gpU3umOSWJQAKAp/x48cjICAAY8aMKdV9l/Vn84IFCxAWFoYVK1YUOmQcIaxZs2bh0KFD2LJliyBYLuv7mWimuL3ClzRdjDNf3My8lZUVnj9PrXDZ5uJm5jUZZ95I5mtSRTtXH5JKO848IRVKcavZV6JgXuNjp4CVEFmpqak4ePAgnJycKJAnkp4/fw4bGxvBtEuXLuHIkSOoW7euIJAnRFOFPTgo6Wr2UtvXRTX78hDMahPMywXlcusSoisUzBNSGLnAv7LQ5kGGFAryyQfszJkzuH37No4dO4Z3794hICCgrItEyqkpU6bA2NgY9evXh6mpKR48eIDz589DT0+Pq9JPSEXAD9Y1CeblHihUJpoeHwX2RNcomCeEEEKK6OjRozhw4ABsbW0xbtw4dOnSpayLRMqpHj164NChQzhy5Ajevn0LS0tLtGnTBiNGjIC7u3tZF48QQkgFRG3mi4DasVVgbPY5751wuro285U8M69xm3n+NH6beXH7eT5qM09KEX02k8qE7ueKoSTazGuzvi6r2WvaZl7bzHxR2sxr0t68pBWnmj2/zby67VCb+YqnvLWZ13qceUIIIYQQQgghhJQtCuYJIYQQQgghhJAKhtrMk8qPX32cfa2uN3upeVLLVhZSTQzEw84RQgghlVxRqsdXpmr24mlU1ZuQ8o+CeUJIgZJ4QFFZHnrQAw1CCCGEEFLOUDBPKh91mXX2db6olxd+dlo8r7Jn5vNMCjoElMvM65uWTbkIIYQQQgghsiiYJ+RDI364oWk1+6L0Zl/eFNZLPyGEEFII8Rjq6uYXd/vFXbao1ezz8t5Xs1c3brxcb/b83yYmwDvRIEKFKe+92fPLJ9fTvbg3e6nl+OeurI+XVEwUzJMPiy7azMsNYVdR8M8Bk1d4Zr6owbxCv+KcJwroCSGElCBdBujaLFucYF5uG5oG8+xQd9nZ8sPeVZYAtqgPcCiYJ8VFwTwhhBBCCCFEK2wgX1hmXu6BQmVS3GCeAnlSVBTMk8pHkzbzUtl2TdvMV6rMfP6/x55T8FohMVql1DlT6AN6Rprvq7KjzD4hhJR7mmSxtd2O1DpSWWhttl1WmXl+ueWq2evrC4N4uWCeXY79Oz9ffTkpmCWkaCiYJ6SykgukueA8/9+fPCA/VxjMK/QAxb//ecUPNwBh1Xu59vLloZq9VNV/qWWkpmvysIJVnOOkBwGEEEIIIaQIKJgnHx65dvGVbZx5NvOuMj3//W8uMy8VzP/7Ou+dcD12vp6R+rHoNc3elyRxoK5tMC/XX4AYez9IPTygYJ0QQiqVonSAVxEy84W1mWcz7tnZwmnirHt+PmBgAOTmFvydnf3+tZie3vt1xGUp62y9Nh3gyc03UvM1qKyPj1QOFMwTQgghhBCiY4UF/XLrlOdgXvx3fr50MC81nRCiexTMk8pNnEWXahfP5BVknzVuM58jnfEub9jMO/uaP50/P1cfyM0UZub1DITt59W1pVdbhgpQgwGg7DkhhJByoSIF83JBu3i6Jm3m9SS+ZhBCCkfBPPlwyFWlF08vtJp9fvkI5gsrg6bBfH6uajV7QLrKvco8merlctNKWlH3KfXQQdMHEfQggBBCKpWUFIXa+eKO4uTmFyUzz1Zh11RRg3mp4JpfFT4/X1gFPj8fsLJiJAN5XQTzFT2LXx6aBZAPEwXzhFRWmgbz/B/xMkBBoC8bzLO/Jf4LK7T4NqIrhbVZl2vjX5xgnl2WgnpCCClX5IZMK2x5bXq9V5fhLi/V7KUC5YoePBNCClAwTwhRT64GgCa1EypKNXtdBPN8FNgTQkiFJRcgs9OLk5kvLPjOzpYPtIsSlMu1XS9smjgzn5sLGBoWTMvNVc3M86vJs9PYTH9mpvCc8ZeVq16vp6d+XnlDmXlSViiYJx8uwXjree/by+fniJYT1x/LrRjV7Pnl1EU1e3E2nhBCCPlAqQvO1WXmCwvm1XUcV9rBvHgb/CBdrpq9nt77v9lgPjdXWIW/ogTz4gcUfGzwzgbwmvRNQME+KQkUzJOKT10bd34beLm28SrTRZ/YUn+Xl2Bek6Hn+NOk5hclmFfoqQ5lJ8YuU5JUqv9LZMg1GR5O15l5TVEGnxBCPhiaVKEvz8E8PzgvajAvzuLLBe3lLZhXVx5As2CeAntSEiiYJ5WfVsH8v8GtYP1ynJkv6WBemyw8ZewJIYQQQggpNRTME0IIIYQQUgjx0Gz8aXLL8adp2qt7ec3M65JUD/gVmbaZeU3nUwafFIaCefJh0SQzX96q2avrgE5XmXn2t1RmXq6avdQ0Pl1l6ksj48+vJk9V3wkhpFLQRW/2/NdsJ2784eM07QBPbhg3MbYKO389qdfqponnaxvMs1XlxR3gaVPNnl/dnr+M+LdcecpjJ3eElEcUzBNC1FP3MKGsg/nC9qnQKxg2j21LLzU0ndRwduLX/Gl6RqrloN7sCSGkwhIH5nLBvLaZeX6AKg6A5ZTXYF6qzTwb4EsF8/zlDQ0LerQXL8O+NpCJRspzm3n2b/ZYxBl0tnM8/nTxvUJZd6ILFMwTUp6pqwWgq8x8YePMi6dJ9Wxf1GC+vLSz16YDPE2WZUQPDwghhJRbug7mpbLP4t7gxcuyymswz5aNX0ZxMC/OyLPLZ2erDk3HLsMP5NX1Hl/eFaWaPbsOBfWkOCiYJ6QiEQfcpRnMF4W4M0ExbQL+kgz8SyqY16SXewr4CSGkUhNXSVcXoKubX9pt5sUPJbQJ5tnx6Nnl+Q8wDAxUq+BXhDb0VPWflEcUzBNCtFceevPXpZIM5ilYJ4SQD55UMC8VxJanzLx4uq6Cef6yhJDioWCeVHw6G2deIkMNlG0HeFIZc6nMu3gdbeYXlpmXG3+e/1qumn1h2fTiZub1dPQRpqtgngJ3QgjRmcI6rNN2fbmq8eIO6/hVwgvrAE8qKOaPqc7+nZ2tWs1eXOWeXVaXwbw268kF8+KyFbWavbgavVQ7dL7y1mZePE/8w8dvM8+vRs//W65qPiHaoGCekIqqsIcPmgbz7Djzcr3Zl9dgXleBPCGEEEJKhVzthIpQzV5dmfLzi95mXjyf2tATbdC3YUIqArbtOT9AZ4eUK81gXi6wL6lgXq6zPXXHVxTFzcwTQggpFwoLnjSZrkkHeHJDrPGniQNWfkabnV6eMvOarCP3w19HPJ3N4EsNW8c//sqUmWeDe3Fm3og3IA4/mKcAnhQVBfOEVBT8MeGB9wF4cYP5PEMgN1MYzOsZlI9gXt9IPphny6YLkueJgnZCCCGakwpq2d+atpnXdQd4RV2vOME8G7iL28yLh7oTb1Pb4ypthWXmpeare7hEiC5QME9IZVdYsK9Jm3m5bZU0dfsTl7m8DHNHCCGkUuK3k5fKzH/IwTx1ZkdI2aBgnpCK0AGeVNCtaZt58fBwKpn57IIfcdYdKPvMvHgf4nXEwbxUu3p1VfWlyiCYp//+N/uaMvaEEEJKWXEy2NoG80XpAE/ci726zLx4HHv+fuX+5q9LCHmPgnlCKitNg32p5dgHAGUdzKsLxDXdn0Kv8M7y1DVHUJnOC+ap93pCCCHFoGlmXtNgXtPAvaSCeXY5/m9DQ/ne7Pn70SSYNyjDyKWo1eypPTwpSRTME1LRaRKsFzZfXW2DilLNnkXV7QkhhJRjmlazL0rbcnXV/tWtxycXzLPD6+kymOf/LQ7U5TqgU9cxXUkqajDP7zhR3IZeah4F/0QbxQ7m16xZg99++w0AsG3bNnh6eqosk56ejqVLl+Lw4cN49uwZbG1t0bVrV0ycOBEWFhaS2923bx82bNiAu3fvwtDQEJ6enpg0aRKaNGlS3CITQnStpIL8ogTzUutrupwm+1bX873Ub3XV8imzTwghFVJx2sxr2pt9SQbz4v3KHR+fsbFmwTwblGoSzKsLxnURzOsy2C8smCekLBQrmL937x6WLFkCMzMzZGRkSC6TkZGBYcOGITY2Fq1bt0bPnj1x69YtrF+/HhcuXMDmzZthZmYmWGflypVYtGgRHBwcMGjQIGRkZCA8PByDBw9GcHAwfHx8ilNsUlmJAyn2tTiw4v8AQH42BMOzybUxZ0n1IF9SpIaPE/dmLy6PVJt5dfNzFQW92fOr0It7jNdmzHn+37pqMy9X3V7d+pShJ4QQUsqkOscragd4ZZWZV7eO3A9/HYZRnc4w6vdHCCmaIgfzeXl5+O6779CgQQM4OTlh7969ksutXbsWsbGxCAwMxDfffMNNX7JkCZYtW4a1a9di0qRJ3PT4+HgsXboUTk5O2LFjBywtLQEAw4cPh7+/P2bOnImDBw/CoCwbzZAPg1xWt7x1gCcXrLPTCwvm8/SBvJyC/7QKhXD/CsX76WURzPMfJBQWxEstx+QL28tr3QEeb3l2cnEy85SJJ4SQSkUcPOs6mOdn8YsSzMtV/y4sMy8VfEtVs2cDdfa3QiGcx+6LXwZ+Np99La6lYGAgrHbPH9ZOk8y8LjrM03acefHyUjUP2HHn+VXp2df8aaamRS83+bAUOSJes2YNbt26hV27diE4OFhyGYZhEBoaCjMzM4wfP14w74svvsBff/2FHTt2YOLEiVD8G0SEhYUhNzcX48aN4wJ5AKhfvz569+6NrVu34vz582jTpk1Ri05IxaJJb/ZFDuaZf7P7+RoE88y/r/n/4fOEywrW1SKYl1uOH6CLg3nx9uUy+HxyHeFpUs2eO286rGbPn0+BPiGEVGji4FncmzsbDGdnv1+efc0SV7PnB7tFCeYZRjowLywzL7VOZmbBenl5wuw7+zWBH8zzt5GdLWwrnptbMI+dpqdXELgbGcmXR9tq9hUxmGePX9y2nr8MIWJFusXv3LmDoKAgjBs3DvXr15ddLj4+Hk+fPoWXl5dKVXpjY2M0b94cT548wcOHD7npkZGRAIDWrVurbK9t27YAgKioqKIUm3yIpKrWS/7IZMAr9c+//+EFr4vxo5J6yFNtvlBRftSeN03vKS1/CCGEEB511do1+dHFv3apf/NFWU/jrw5qHlwQQlRpnZnPzc3F9OnT4eLigrFjx6pdlg3SnZycJOfXrVuXW45dJj4+HmZmZrC1tZVdPj4+XnafVatWhV4pdG1pZWVV4vsgGsplH3Hz2sCz8rPf/83kAbmG73+z0/MMgbx34NrO57HjiecLf3PbLOU283nZQL7++x8u8/7v33kKYXnY1+x0/jr8+bxq+lYW+pDOzIuy4eJq9uoUJzPP/q1vJJ+Z1zcq+BHvT1A13uD9D/D+tzijL66Kz07jjzOv9+++9Hl139jx5w0shMvwf+sZCZfn0+Mdg4GalATRGH02k8rkQ7+fxdlJbdcRZ735PYfzscux09PTpbfBVvvOzn4/PSfn/Xx+9XP2b/Y3m43Nz3//rzY/XzXjKq6eXtzMvFxQXNi5lcrMs1W/+cfJZunFmXlDQ+F+DQysuPNnZPR+npGRdGaerWYvzrDzp/Gni5VEZl5c7Z//Y2QkLD873dj4/XQjo4JzyN4L7Dr6+gXT2T7B2eUA6Sr4pOyVp89mrYP5lStX4vbt29i+fTsMDQ3VLvvmzRsAkO2xnp3OLgcU9HxvbW2tdvl0/qesyKtXr9SWSResrKyQmppa4vshGuIH6/y/2deCYD79/W8umM/8N2D+Nyubxy5fjoJ5fvn41ejZ8koG8/9Oz88T/ldmX//7WNzK0gCpr9htSFSzZ3/z/1Nrgl2nsGX4vwXr6pWDYJ63LXZf+pm8ZdlgPqfowbx4HVJk9NlMKhO6n8sumE9LU6jMA4B37wp+s1Xm2dcsNviWCubZBwD5+QXV1QGoVLlnl+W3Iee3S5eqMq/ub7l1+PuTI70Ow60rzriLg3m2Kj0AGBpaISsrlQtIs7PfL5uVVfBbXx8wMXm/L3EwzwbS5TWYz8kRPtjhT+eXPTNTOpjPzHy/vpHR+3uEgvnypzQ/mzV5aKBVMH/r1i2sXLkSo0ePRuPGjYtcMEIIIYQQQog8uWrtfEUN5gvrXV7dOlLV5cXz+T3Ys8fBf37PdcfDe+4v1SmfOCgvy6r36vYtVwNC3KEhjSVPdE2rYP67775DnTp1MHHiRI2WZzuwk8uks9P5Hd1ZWFgIMvVSy8tl+skHRl2nY/xlChuaTl0Hc/zf3DbzVaeVFLl22+J5/OH0BJn7fOF/VED1v3Ge4t9zIZGZZ1djFP/OY1SXkVXczLzifbV+qcw8e+z8bDt/OT0D+WsqpusO8AghhBAJcr3Zy/V8Lxc4s0ozmM/IUHBlLCwzr6//fhsFmWaFIMvMLquvXxCos1l6FpvZZr8elNfMfPXqjFYd4OnpSXdup68vrAUizsjLdZpHiNaZeQBo0qSJ5PyBAwcCAJYtW4bOnTsX2sadbVPPLgcUtK+PiYnBs2fPVNrNF9YGnxAiIvWfnPv735/8fBQE8hLBPIcN5tUtI7EOU8iy3HyZYB4AFPmiv0Vt8dkgm189vtCi6Um/Fm+f/1rdAwEK5gkhpMRpUu2ev4x4eX41e6nq+Ow0/t/8AItftV6qmn12trCavXh5dr4m1ewZpmD/5Skzz+IH8+yy4mCe/Vtqef48cWs+MXYa/3qVp97sc3O1682eP01fX77pByGa0iqY79+/v+T0ixcvIj4+Hn5+frC2tkatWrUAFATdNWrUwKVLl5CRkSHo0T4rKwsXL15EjRo1BMF8ixYtEBMTgzNnzqBPnz6C/Zw6dYpbhpBKTSr7LpVl5vfALl5X/Gj//QLCn5IM5gtdlp0v+m/H1QiQ+jahRSd8hBBCiAgbzEsF78D7tvHisc91FcxLDU3Hz8xzFefKMJhXR656PSGk9GkVzP/3v/+VnD59+nTEx8fjiy++gKenJzddoVDA398fy5Ytw7Jly/DNN99w81atWoVXr15h/Pjx3BjzANC3b1+sW7cOK1asQKdOnbgq+HFxcdizZw8cHR3h6+urTbHJh4xfnZ7tDI/J+/f1vz2NSA1NBshnYkujAzx+VXl1HeCx8/L4wfy//1XZbwHIB8BAgXfsAsKfd4ZQIAvqq9Dzg3lNaRPMi+uL/ZvVz9XnbYefxdd7X+dMT5RF53d2x//hz1PogTHhdSqiVTV7DTLzUuPM0zjyhBBSroizouxvqWrw4uniTu7Y13Id4Il/2O2w+5Qaxq0iBfPi9vDi+VJ/S71mt0EI0YzWvdlrKzAwEMeOHcPatWsRGxuLxo0b49atWzh58iQaNmyIwMBAwfLOzs6YMGECFi9ejE8//RTdunVDRkYGwsPDkZubizlz5sDAoMSLTSoKqTbxcr3ZC4L5nPdBe3kP5qXGQBfMyxN+2xD8VxT/QGKaeL7agmlzENA8mBcvp5D54S2bL6qTp2AKquQLNsNrWw8Ir5vca7lpxQ3mpVC1fEIIIeWUXMAvFZyLq9DzKwUqFAU9tfM7seOvy7aN529D3GaenZeXJ/rXL/M1Q65LHjlS1fELazNvYFBQs0JqXbZtv4GBfB8J/NohVM2eFFWJR8VmZmbYtGkTgoKCcOjQIURGRsLGxgYjR47EhAkTBFXvWePGjUOtWrWwYcMGbNmyBYaGhmjWrBkmTZqEpk2blnSRSXkm1bmdVAd34mXY12wwz2a6AdXMd3kYmk4q+85Wq1cJ5vNlgnl+9XkG77Pq4gC+sCr2hBBCSPlQWNBTWJt5th08vz28uJo9P3Muzryzv3WVmee3Oxdn5jXtzV6qj1upeeL1ClNYMF9YGcTZd6k28/xx6ln87L44GJdalv+7sOlypI6V/9VKqu07IN9mnl1G3EM/fzn2vhN3gMe2padO7ogmFAxTuVq6lMa4fzT2axmSCtT548iLM/N574SZ+ZxXBcvkvK0cwXxetmpPPjLBvFw1+2owRBqyoL5afFGq2bPraTJfopo9FP9Ol6lmrxBXs/83U8+vZq9vVHg1+8LGmeePaw9Ij21vYA7BOPMG/464wR9Hnh2Tnk/PCNA3ff+aFAt9NpPKhO5n+WBc03X4ndfx28kXFswnJb3vtV2uzTzbiZ22beazs9/32s5WpWdfF6WaPbuu3OvSDub5HeGx04yMqiErK40LrPk93fN7s2cz31KZeTaw5U9jl+X/Lmy6HHWd77H7lcrMs73Zs2PGs9jMvImJsCd+I6P36/LHmTc1BaytC5YzNS344fdgT73Zlx8Vepx5QsoNySHmCsnMc9XseR3HAbqpZq+r4F68T7XBfN77//T5/G837H9YcWY+jzef/6OP95n5woL5knr2p0mVfEIIIaR0ybWZFw8px5+uyXBzgGpVdU1/xMpDMF8cUpl8llRQXhbBvPgYdZGZ5/dqb2SkOtoCBexEExTME0JKkKb/4eWWUzNdts4h74GIunHmy0ubeWo3TwghpYKfnZdqr6xNB3iaBPNSmfmcHGE2viJm5tXtUyozry6TT53eEVI8FMyTSkuRmSKsZp+XDeRkFARjORm6rWZf4pn5POF/eW6ZPBRk1TXJzBerYKLfulaEYB4y32zKQzBPCCGkUhEH8FLBvCZt5sXt5IvbZp5dV/xa3fLideQUN5hnscchlS3nT8+X+PeqSWa+tB4EiMsnd0/wl1V330gdLyHaomCeEEIIIYQQojOadJDHf61tp3plgb9vqSYV2gTzhOgKBfPkwyOVrVWXxZXK0JZWZp6ReCTP/Tdh27yz2XfwpoM3XZyZF7eZZ5cRt5mXetRdATLzhBBCCKkQKmowD+gmM88fco+QoqBgnlQ84s7v5DrA4/7+N/jmV6fX9dB0JVbNntewj+EH4IAwWOfvP1/0m78O/2/xD0TLSY39ruv/ovwe6sUPEgoZZx4KgFG8P0y2rh37U9rV7MU91RNCCCmXitJmXpNq9oV1gCd+Jl+SHeCVVTV7ub8L6zCvJIN5ao9PKjMK5smHRS7AK7eZef5/Y6nAWzwNovmQmV+UoLyo62m6bW2n87Lzglnsf/zSDObzVR8ksb/F7egp6CeEEEIIITpAwTypXNRl5tUF7eUumBc/tlcXzEtVoxf/llqPfc2vZs9XGtXsi5mZ50/nDol/7rQI5hWiMWUIIYToTFGqERd3nHnx6+L0Zq+LzHxpqEyZeblO80qz0zu+kq5mLx6ajn//0jB1RA4F86Ti0aqavZpAvlwG86J6ZNwnPRuwF6Wafb5ovYoSzOup2Z/44QbVoSOEEEK0UVhAX9bBvNQ2talmT9XryYeAgnlSsZWbYF5HQa74v5VkVl6ceZd7rWlmXpvq8yVZzZ7+6xJCCCm/KlubeV0F84Vtt6yCeV2TKlNhmXlCShoF84RUCOqq2YuD8aIG8+L/kKWdmZebLlX9XabcDETfZHTUZp6q4BNCCCFFIg7U+YEuv8o8v1o5w0hXpxdP5/d7yyfuE7cwUsuIq/bzj4H9Ozsb0JP4ipCfXzDdwOD9a6DgN//HwOD9saurZp+XR1XtiTQK5knFVyaZ+ULqlBX5WLTNzGubWSeEEEIIIYRUBhTMk8pBqh09O9QcO5Qc/2/2B5CfLjs0XWkG8/w28eLAXa7NvCaZeY0Ko+E0XZB6IKHuQQXbxl/iJ5//yJ73WJufXVfovb/O7HT+b7nXUtsRbOvfx+bqerMXHKJED/iFod7wCSEfALkO6rTpAC87Wzg9O1v1N385dt1c9utBvvTr3FzhaxY7XTwvN1dYBZ/NTPOrabPZa3YkWnZeRatmLzWvKNXsCSGaoWCeVB4qAX0hWXmNM/OF/FeSWqbIxyBuFFaUzLxcME8IIYSQsujNXiogL4k284SQDwsF84SISQ0PJ5hfwsE8ww++dZGZz+e9hsRr8fqliTq9I4SQykYqe67t0HS6yMxrOzSduiHlNA3mpTLzH1IHeFLz6GEDISWHgnlSefEz7VJV6WWr2RcSzJdkNXu1AXtRg3m5zL3UvIpEphq+yjcZHXSAJ7cN8XxxlXmqZk8IIYQUqrL2Zq/JAyFCioOCeUL4+J3baZOZ11lAXFhVel1Usy+PwbvUQwWZYL3Q+Qy4Xu35AT1QtsE8BeGEkA+MXJZc03VLKzMvDrB01WZe3B6+MmXmy0plC+bZvzXpzZ4QKRTMk4pJqsM7nbWZ1yCYlww8dXJgvB+pvwkhhBBSGKlgqLBgnu2oriSCebZSX2Ed4PGr48u1tRf7kIJ5QogQBfPkwyYVyBcWzMtmkXVSINH25f4Wz1OXmSeEEEIIKR+0eSjBYh96iMeOL81x5qXm5eYKx43n09N7/2BHapx5dgx6QLPMPP9vGnOesCiYJxWTrjLz5T6YJ4QQQioHbaoKF7eavSaZebkO73TVm72mWXJCCCkqCuYJIRWUmjbzgKhuYmm1mWeXkWgzL9XBXVE6wGPyqP09IeSDUtGCeamcQFHbzBNCiDoUzJPyTxzw5GcX/Mi95v6W6cGe/yPo6T5P1IOJXHX1fIlpJZWZz+f9QDSPsviEEELIh6QidoAnLou4+jpbBV2T3uzLki47wCNEVyiYJ4RUfgwDgJc5B1Qz7Qq997/lXvN/8+ezwxyy8/Kzpcuh0FfNqrN/a5NtL25mvrD1KfNPCKlkpLLyFSUzr01v9oSQDwsF86RyKlKbefa/pDgjXx47wGN/xJl7ubJIdZAn3mdZkHtErZD4LX6tEC2vAKD3/jUDIF/UQw54QXc+rwtidhr7W1fBvEK/ZKrZy6EgnBBCSAVVETvAYx/esB3h8anrAE/qwZGmHeBR53eEj4J5UrHprPM7/iPv8hTME0IIIYQQQogqCuZJ5VBpg/nCMvMfAnXHKT4PonMlrpPIvZapci/YdHE6wON1hFeczDxl2gkhhBBCiAwK5knlUtwh6SpcMF/RA3vxcYnn5UO1Wr2mfwNgFP9u4t96dvzed/J47dqZfNWq9fy29HoG0sE8vxo+fxl2GpMP6P27Hz2jgh9+gC5XZb6wdvSaTi+JhwH0gIEQUskVp8283Ai3pd1mviL2iK+umr14ufJUzV6h0L6afW5uwU9RqtkTwkfBPCGknNCmLT8DjYJ5tu08I9HITpM28+Lp/N/8Zdlt6f37kcoP/KWy9NxhaNlmngJpQgghlUhF6tRPqjd7/gMXbXqz17TNPLWPJ4WhYJ4QUsnwqtILgvp/f4CSC+bFvxWix/SAZr3Zy2Xm1U2nQJ8QUonwM5G6HmdeKpBif/Ons9lTdh77mj89l/evhM20irfLBnrsb/F09vWHnpknhGiPgnlCSAXGb2Yg1bu9TPaeUQD5om+EpRbMi/dbxGBeXfBOgT0hhBBCSKVHwTwhhBBCCKm05MaY1/U481IZdfH00m4zTwip3CiYJ+Ubv4d68d/in/xsID+nICuq6Q+TL/rvzR+zXa4DvHyJaSXZAZ64THKd4xFCCCGEEEI+FBTMk4qvWEPSSfVkX557syeEEEKIXNt5qTbzFT0zT0qeJudargM8tnf9XFFXPJr0Zs/2gp+bC2T/O/iNvr50x3fsNLn5mirPneqV57KVVxTME0IIIYSQck08XBcF85WL+HjFw8qp+62LoemkaDo0HX9/LH6QDmg2NB0hRUHBPCGkglA3TB3/tbq/+bN40xmJ/6L8aYIh5mSWlVpGPE28rqZD01GHdoSQSkaTXunlgnF16xcWzPMD9rIO5onulMY5LWxoOsHXCkaz+6mwoenUjc7ARxntDxcF86Ri0KTNvFQ1e7Vt5vOEn7bg/wDy1exLs808ZP4WL1vY/iviNwdNmxfoIphn+ybgzy+jYJ4Cd0LIB0pqKDn+6+IG8+JAXhfBvPhfibbBvKad3BFCiBQK5gkh5YAmWXdN1pUK5vMhOVSduE4bV2ePARS8eZoMTZeXXRCos/P0eB+t4gBfPFyd4t9GclLDzqn7LR7KTpP1ygI9nCCEEEIIKRFaBfOvX7/GkiVLcO3aNSQmJuLVq1ewsrKCs7Mzhg4diq5du0IhalSSnp6OpUuX4vDhw3j27BlsbW3RtWtXTJw4ERYWFpL72bdvHzZs2IC7d+/C0NAQnp6emDRpEpo0aVL0IyWVh2Qv9tma92Cflw3k/dtQiWH+fXSfh4Kgj30NlJ/MPL9MUuWq7B3kaVPrQHwuxIG8JsE82/BNNFa8umCenVbYOPPiMewF25UJ5sXBsLrq+ILtUhBNCCGEEFKZaRXMp6amYufOnfj/9s492pKqvvPfqjr3Nn1z26YRmBlboVmrgUETFARBG8eJEnGCtkhsookERnsFkZbRWZo1zjBrxqgxK1kGQoOK0xoYRiBCOosxSGQZJwHRpnmOg9P4mLEbaAkwPNq+3O4+p2rv+aNqV/1qn73r1Dmnzr3n3Pv9sIqq2nvX49w+j/ru3+u1r30t3va2t+Hwww/Hc889h//xP/4HLr/8clxwwQX4zGc+k4+fn5/HBz7wAezatQsbNmzAueeei8ceewzXX3897rvvPtx0002YmZkpXePLX/4yrrzySrziFa/A+973PszPz+OOO+7A+9//fnz1q1/FGWec0cwrJ5OHapfFe0nI91mSzvjI5e7V4+ZmX9W2FIV7P5Z50ybFudk3f6tA7HvEvBTFie4W88bPMXC4x+eXFOK8H8u8PSEAlC30tpj3WeZdYp8QQgiZcFzx6YA/AZ7NYifAM239ZLPvdNIx09PlsBLGw5Mq+hLzr3zlK3H//fej1SofNjc3h9/+7d/GN77xDfze7/0ejj/+eADAtm3bsGvXLmzevBmf/OQn8/FXX301rr32Wmzbtg2XX3553r57925s3boV69atw2233YZVq1YBAC688EJs2rQJV1xxBe68886u6xNCiJuqiQ9rgqRrDsUOhBxFzHyPWHznbde0zEso+AkhNemVmK6fc/hi4H3XqYqZb7f7j5k3pb6SJBVKJnu4XAPltd1utu3jTLv8qfDF4pv0PKU0PegeI8fJPokrnt7Xxth7QpY+Ye8hBVEUOYX07OwszjrrLADAnj17AABaa9x6662YmZnBZZddVhp/ySWXYPXq1bjtttugxTfN9u3bEccxLr300lzIA8Dxxx+Pd7/73Xj88cexY8eOfm6ZLAV6Jr3LEt/VtsqLLDjaZZUft8VOdNdP4rvlQK+/j2up+HtrR4akJAGSTra0/Ut8sKHlQLbMA/FLQDzXe0kODL/kni59LrU+o2IhhJCGsJPj+RZX8rthFl8pucVYCCHLl0ZM3IcOHcKOHTsQBAHWr18PILWyP/PMMzjrrLO6XOlXrFiB0047DX/3d3+HPXv2YN26dQCAnTt3AgA2bNjQdY03v/nNuOWWW3D//ffnEwdkmeCLkc+3+3GvFy72uVAedzd71/XIyPH5+I2rZb5KJLPsHSFkgbEt8cayLvtdx7jGt9t+y7x9HnmMbVU3lvV2u2gDui3zxqIfx8W2PE6WEZM/FXLiQN6LbZmvm82+rhXexTiLfN/Pq0Qpv+u6vZ5UN3tfhQT7s0NIFQOJ+V/+8pe44YYboJTCc889h7vvvhtPPfUUtmzZkgtzY6E3+zbHHntsPs6M2b17N2ZmZnDUUUd5x+/evXuQWyaELAv68VbokYfA53Y/iWKeEELGFFf5OWBwMW8EkctF3ojxgwerxfzBg8W+FPOdTiHIXW72cVwW83KMFPPynu069VLsDyPmlzuuCZN+aULMm3/rOjHz5v3Sbqdx8iZW3rW24+jlvi/GnrH3S5OBxfw111yT709NTeEP/uAP8MEPfjBv279/PwB4M9abdjMOSGPvjzjiiMrxc3Nzlfe2evVqhGFf0QMDsWbNmpFfgwBQCdA5rGyNj6eA5LB0OzkM6IRpXxwByVRhgZ8+mLaZ/TgC2jp1h+4ExS+mnEpPEkCb9884WearhNrwlvvDMT3U8c1gJ7OzEtY5x9tjfPt2H4Ap8T0Rht3T/PZ+mO3LX0OTzC6KgFD8uk6JX9ww2zb9MgFeaP1a29nx832R+C6c7k6AJ9vNuCACopXZuVdaf7qoervKWu/qk22h1W/v+9oagt/NZCmxGO9nI15d+KzgrnG2dTEM3ZZ5n5iX440AarfLokiu7fNKC7fJaRpF6bZZu+rBm36zb7YD8djgOtZgxklsMS/vuUrMu5hUMT89fbi3r5dl3TW2l2W+V18dbDEv/93Mvok+tgW2eaw47LB0jBk7PZ1ur1xZLGGYjjOOzLOzafvsbDo+itL1ypXFtVZaP+v9iPlxFvXjfG+ScXrWGEjMv/KVr8SPf/xjJEmCp556Ct/61rdw5ZVX4uGHH8ZVV121qAnq9u3bN/JrrFmzBi+88MLIr0OQCXYrltfEB5u+zlwm1g+mQj0T78GB/WlbLuYPAu2X0l/6uINCBNul6WJzcWttWAwxX2W1HU7MH45pvIiKp7cFwxbzdptvfD9ivkB35N8srHEe8ysu/lbmSSGK0l/jaCptnzqQrqPpIrN92Er3S2I+a5Nj7X5b3Mu2sDWcmHfVq5drF73EvN3fa3yD8LuZLCUW6/3ctJh3WdrlsTJJXZVlXiawA7rXhiYs8/v2BaV7Aoq5/yrLvBlv2upY5m0L8lIU89PTh6PdftHbXyXmfWPHRcxHUfoP4hPzWhfbUsyb94o5T6dTHN9uAytWpO/TlSsLMW88RqKo2DZQzC8cC/ndXGfSYCjVHUURXvnKV+L3f//3EYYh/vRP/xTf+MY38Du/8zt5AjufJd20y0R3s7OzJUu9a7zP0k+WOKUydMPEzMt4+XGNmSeD0d/fLsC82HOJeVj75ldc/NLoIF1UlPUby7z4xW1SzIcth5i3tgHhMbAiO3dvMa8P+2c9/2alYwkhy4Ze8emu8bY492Wz91nm7W1fpnifmHfFI7sW1zF2hnm5zaRzC8e4/Z1dsf72+8MeK9t970lXH2PmSV0a80c3SelMErteMe4mpt6MA9L4+vn5eTz77LPe8b4YfLIEqZvFvq/FfKtO2kIIIYSMB3UzyDe1NJ2JvslM9YQQspg05g//9NNPA0it9UAquo8++mg89NBDmJ+fL2W0P3ToEB544AEcffTRJTF/+umn4+GHH8a9996L8847r3T+e+65Jx9Dljgmkdeiink41hD7o7LMk+bo59+kzljf+8G0KeQWfZkRJw/bQHdMvGmz13Z/YM27uuLq5TmMN4D8LPWibgK9YRPt0bJPyJLFZWU3S79u9sYVHignC2vCzb5XNntzD3bWeulm78vGL93s7Wz25py+5GycHOjNYv6NRm2ZJ2QQ+rLM79q1y+kG/+KLL+LKK68EAPyLf/EvAABBEGDTpk2Yn5/HtddeWxp/3XXXYd++fdi0aRMCEZBy/vnno9Vq4Utf+lLpOj/96U9x++2345hjjsGZZ57Zzy0TQpYdi+1F4TPh9Dvx1NBCCCGEEEKWJH1Z5rdv347bbrsNZ5xxBl7xildg5cqV+MUvfoG///u/x/z8PM455xy8613vysdv3rwZ3/3ud7Ft2zbs2rULr3nNa/DYY4/h7rvvxkknnYTNmzeXzn/cccdhy5YtuOqqq7Bx40acc845mJ+fxx133IE4jvGZz3xmUZPrEUJGyWKaJJqwzIu1a0q+qjSdbXknhJAF4KmnurODuRLg+crB+WLo61jmpQXdFcdurOdmTJOWeV8CPGNVd36F13Cx99WJr2PBJYSQQehLGZ9zzjmYm5vDI488gvvvvx8HDx7E6tWr8frXvx7nnXcezj333JKlfWZmBjfeeCOuueYafPvb38bOnTtx5JFH4uKLL8aWLVtKrveGSy+9FGvXrsUNN9yAm2++GVNTUzjllFNw+eWX4+STTx7+FZPJZ1g3+9ox6uPiZs9f+voM+reqc5x5YnQlx7PaTXnDBNZTXbvsFm/Evdy3++192ebato8LQiCwns5d2exVu142exd2VvyqcYSQJU9V7LvB5W4sBfwoxbztZm+7wA/rZm/fi+1mb5ejI8Mxquz/TdSZL0XdobuuvKvOvGlz1Zs32/b7bxKywJPR0JeYP+2003Daaaf1dYFVq1bhU5/6FD71qU/VPmbjxo3YuHFjX9chhCw3mnwCGja+3jMB5DTHyKc4Ya33We7tfXsCgBBCCCGELEvos04IWeL040Lv6/NY4J316IGSFV/qcTN1H4jr2Unx6ibAc/Xb7SpOk+EtZAI8Wt8JWdb0ykhvqCobJ9tdY+zjJf2UpvO5ww/rZk8IIQsFxTyZfEZSlg6ONcQ+3ewJIYSQOixXMe87DyGENAXF/FJg2FJR40bt0nQDxMtrW7CT8WSh/30U3JZ3ONq01R4gLQwSiL5AjM2s5SpM338ysC4UMfBaAdF0/Zh5X/y8fZwro73LCyA5UMS++6zrQVT+vqEVnhBi0atOvGFQMe+Kc5dUxczL0nN2HLtZ++LbTbtZu0qJ+V4jE+D1zzj+XYYtTTeOr4lMPhTzhBBSotevbclvHj3d7EunDtLFzqoTaCCI/XXoh3Gzt9vlvjzWJMDrJeh7TR5S7BMyElwJ10ZxTlct+H6y2bfbReZ6I+Tt5HVAWXRLoW63m225yOP7EfPSIl+Vdb6OZZ4QQsYBinlCyDKhqaevPhLgdYVtaKtbPimqbit6VQI8e7xru59680aEU4ATQgakyiI/Tm72TYh5xswTQsYBinlCCCGEEOKlH8t8lZBfDmKeEEIWEop5snRorMY8E+CRQalpmc+Hj6FlnhAycdR1wbfHtdvdY2SbGS/d5mW763ydTlHHXbrP13Gzr1NnflA3ezPBoLX/HKZf1pm3494HSYBHSL+Y96z8rLlCYHz7JCVaBs6GFPOEkGVAk09UDbjZ54fZZp8FEPOsT08IGZA6lnmfRX6xLfMuIU43+8mlzt952H8LO72Nq8+8x4LAPUb2A915JOIYCMPy5JNZ9xLzy0Gokt5QzBNCyND4xLxtEQ/EYoYExVOATIKXH9JwAjxfTfs6CfDsNrNfNb4qmZ4Pxu0TUgufqO413rdv2uzzGsu8sdr7risFyiCW+aYT4Jn7kxnoZbb6OmKeEELGGYp5QgghhBACwO9O72p3Celxssz3sqoPapknZFDM+6fO+51u9gX0QvBDMU8IIQuGI9dC11Ojx3Xe7I86Zr6f0nOD9A8CLfWE9E2vsnNm3xX37rPMdzrpvk9Ij5Nlvo6LvE/ME0LIpEAxTwgZY8bxqarqnvqMmTdtGsVTpB10RwghI8Il5qss83Ws4ottme8n3r2XZZ6QhcT1fqdlvhpa7CnmCSFkkXE9RQrLemnoMrXMu6C1nixxej28y7a6fVVWeFebWXc6heUcKFvMJcZyPsps9jIOXq5t7Nj4QWPm+0mARwghCw3TGhNCCCGEEEIIIRMGLfOEkAmnjtt7Harc22Wfttrloq3xIYo5U7MdOPoDQGWmnjAsXO1DVa53E7bSJQjTdTRdZKTXqshMb7ZNO+DOYF/KZh8DgfJnoDf7TVjmaVUnZMHo5Zpbx82+n+Rzddzs5XY/MfPS1b9Jy7w8psnSdK5tWvUJIU1CMU8IIY3TZ8y82a56EgRG7GZvjlkAN/uqMRT6hBBCCCG1oJgnhJC+cAlyq3Z8Tyu/3S+s+wrlJHjSMp+3WZb1OnXma1nmzfkSt2XeZ60Pp4u2hYqZJ4SMHFdCLrvdHm8vdoZ7OQ6ob5k3VvlRWuZd/fI6pn8QyzyZPFyeG/a+z+OiyrsDqJ/wcRIT4DEp3cJCMU8mG2l57LkYK2idBY41xL6rjUw2TfwbmnNUWcJ7iHkA0EFxGqeYF67zIxHzYXENgzm1S6zLtkEt87TIEzK29CvmbYE+rJiXQn6SxDwhhIwainlCCGkM10RQlZu9eRK2xHwu6pEK+y4xHwCIRyzmHflRA0uESwHuEuN2/L3cH1S8U/QTsqi4RL3d5xLyg4h5lxVzXMS875oU84SQhYRinhBCxgLbMwTFdj4fYPvrjSJm3jO2Kqa+Cct8P1DQE0IIwcJOniyWmz3d1kkVFPNLgSZjVMch3lXWu9YJoNqOJU7FhYprLuZbUmF4N3tCfNSxzJsYe9RYm23hdg8Ulvog7ra054eNwjJvtUlL/aCWeVroCemJK+u8aZfrXn39ZrN3iYt+LPN1stn7xlRlkjdtcm1DCzkhZDlAMU8IIQPje1qs62bvGuuwzMv9ril+h0V9pJZ5R38vyzyFNyFjhS+plmmLs3lAubZj4WW/wXapH8bN3ri0y/H9utnbLvJ13ex9VlVCCBk3KOYJIaQv6jzR9RLPA1rmzeVNgjyTHC/I7mnBLfMOj4BebvhynyKfkCXJMJb5OjXeTZtc29SpEe9zm657D1XXJEufOm725n0eWD/bcpIrDIttoLwOxc9rFHUvLnq1j9ptv9/76tVHqqGYJ90stqu97WbvXFQfi/z1rbvAsYZnnxBCCCGEED8+bxGgd+jJJJWmGxYK+/6gmCeEEEIIGXOajJmvcrP3laCTrvKjcrO3XetH4WZfdeywlnlCCFloKOYJIaQngz65jSBmHo6nTACLGjNPCCE9qGOF7EdID+pmX3VsE2KeQr9/JuVv5rrPKjd7u6qsDS3zzbDcLfkU84QQQgghDdLEg7V8eG86m/0glvlRZ7PvFc9OCCGkG4p5QhqJmedTByGEkMnCFvPSNR4or0flZp8khYi3XevlfTXpZu/LZl/XMk9IU9S1zBvrvGGpW+aXu7W9Hyjmx5m6ieiarjM/9gnweiS8I2SsWCg3ew3YZeoWrDSddPHvI5u9gVntCRkbFtoyXyfTfNNu9oQQslSgmCeEkEbo5bHRsJiHS8ybbYp5QpYztou+bLfXVRbwXpb5drt8XTOm3e62zLfbbou3dLE3Vnr7vhcrAR4hhIw7FPOEEDI0vie/fsS8Qu8681qMCwGli/4wLLLthEpst1Kx3avOfHww3TZj7ZryYSttC8XPhl3XHgDCuNwWtlCqK2+Eu9kOorTfbs/PYR2T/9k4IUDIsEiBK/d9lvRhLPN1E8sthGWeYp6ME3U+b8vNzb4udMenmCeEkBEinwiVtQ/kojwX7Frsw+qD2DbHCTGvxHFKCvt44cS8Ob7rOtavbZWlnqKckAVluYh5QghZilDML2UGiX1fCjHzXYt8AvAthBBCyOThykhf181+uVrmCSFkqUAxTwghjeOKe5cWdog22We72WtHu7Tiw9rPxmkN6ABIguzptd3bMp94xuQvQ5Ut72acHO+yzNvjpbXe5ULvcqknZJlTVZpuEsR83SzxoxbzhIwrvs+brBgRhulnN4qKxUWv9lG7pvd7X7LP99rqHttr7FKEYn5c6cdC7hs3iJV9HC3zqm0tcbpoVWzLRbbXssrzF54sFvb7r5/3o3z/2pMEWVsu5gEERmQHhQv+OIp52efbNnH2ABBOF8cp8f3FyQCyjFhIMS9LzNUpTWeS7BlRD5TFtRT7ckzVfZlzyLXNIJb5qnG07hNCxhGK+UlDtf1trjjUpSDmkwPFouJUdCTtVCSYbbtdxUDSKVLjKoU0ZtkshCw0vifAYcW87zzZuvLpU3wWGstmr7r7XG2l/cS9DVCUkyVLr4RVtiBfSMu8FOOAv158LzEvhXxTYn6Ubva9xDwhhIwbFPOEELKoSOu67Wbvcr/3jbMJAKj01Epa4+1t8+Qcly3stmUe6G4z+/JY2Sct97ItX1SWx69CzNPSThaJYbJD1zm2STFvl4iT42WfLeaN8DYYAV9HzNsuwPY4I84nSczbx9ntVdcjpCmqck8Ylns2++XmSl9FX2L+6aefxp133om7774b//f//l/8v//3/7B69Wqceuqp2Lx5M1772td2HTM3N4etW7firrvuwrPPPoujjjoKb3/72/HRj34Us7Ozzut885vfxA033ICf/exnmJqawute9zpcfvnl+LVf+7XBXiUhhBBCCBkJtju+Kw5+HGLmmxDzhPjo9Z6VY+RkF9A7R8VSF/MU54PTl5i/8cYb8V/+y3/BMcccgze96U14+ctfjj179uA73/kOvvOd7+ALX/gCfvM3fzMfPz8/jw984APYtWsXNmzYgHPPPRePPfYYrr/+etx333246aabMDMzU7rGl7/8ZVx55ZV4xStegfe9732Yn5/HHXfcgfe///346le/ijPOOKOZVz7puCxZS9XNvoks9nnMPCGEEDJ+9HKVb9LN3ljr47hsuVcq3W+3y5b3drvaMi/d7k2cvG2ZN23A4lnm68C4eFIH1/tQvm/M+9e8722nuDAEOp3y58/1WbSFfBimi9k2yM/5uCTAs68zPd091mAS+5H+6UvMn3zyyfj617+O0047rdT+wAMP4OKLL8anP/1pnH322ZjO/rW2bduGXbt2YfPmzfjkJz+Zj7/66qtx7bXXYtu2bbj88svz9t27d2Pr1q1Yt24dbrvtNqxatQoAcOGFF2LTpk244oorcOedd6LVWqbRAVJo+8S83b4UxLyd+K52Ajw5jalrLIQsBiOOmUfNJ9PFipl3fW+VxtLNnhBCyOTis8znKZ3Qv2XeriQxCZZ51z1SwA+PIyjSz9vf/vYuIQ8Ap512Gs444wy8+OKL+PGPfwwA0Frj1ltvxczMDC677LLS+EsuuQSrV6/GbbfdBi3e4du3b0ccx7j00ktzIQ8Axx9/PN797nfj8ccfx44dO/p6gcsGb032pbL0a5W3LPMU7GQ5U+Xzmi+DfMaaWhr6nlB9jieEEEIImWAaM3Eba7lZ7969G8888wzOOuusLlf6FStW4LTTTsPf/d3fYc+ePVi3bh0AYOfOnQCADRs2dJ3/zW9+M2655Rbcf//9OOuss5q67aXNUrHMDyPmbQslLfSEEEIWgV4xrr1c5e0kd3JMvwnwpJt9EwnwpJu9yWDvSoBnWKiYeUIWCld4hq9N9klr/DBu9vLzFXpMtaZ9sdzsfZZ5V435Kpd8UqYRMf+LX/wC3//+93HUUUfhhBNOAADs2bMHAHKhbnPsscfm48yY3bt3Y2ZmBkcddZR3/O7du5u45aXPoNanZS/mCWmSft9TGmm5uAaz2eenDoq1K7N9v9ns5fZQbvYet35Clhn2g66JXbe37WNsMW/H0dsCASjHwvcTM2/WtpiXce6m3RUzb3DFzLu25X31GzMv6TdmnpBBGFbMD+Nmb++PG3SnHx1Di/lOp4M/+IM/QLvdxic+8QlE2b/W/v37AcCbsd60m3FAmvn+iCOOqBw/NzdXeT+rV69G6JuSapA1a9aM9gIqcxntanPUlFftbvFuYs198ac+xlHMJ1NZnfkoFRwdnW5rBcQB0E6621UMTB0CElM6KxsbB9k3XohCwMttBcC8fm2t4dn3tU0Oh4NToAuDS3TLvgi9xbtZwmx81i6/94xIb7WKaXxvabpse8XKVKBH024xH7bStjD72ZBjWocV+3a/Oadsk9cIp4HWrxQx8dHKdNvsh9PptlmbJZwu+oG0LWljzeyvFPsAEFY8QVT1jZrFvDapRdOl6XpZ4m2x3m4XzxrtNnDYYe5zJkm5zyfmXW0rV5YfspVKvxKiqCzWoyjdNutelnmgW8zLr6hxFvNkNExPH77YtzAUQdBt8Q4CYGqq2A6C7vFRVPSZz5b5eZ6aSj+DQGqJltutVrrfapUX85M+PV2+H3MfwHgmwIui4vXZY40lvsoyb9+z2TffYbaF33dcU4xcB/bBUGJeKYV//+//Pe6//35ccMEFOO+88xq6rcHZt2/fyK+xZs0avPDCC6O9iEtUS4G+rMT8ISBpp4uKgc58uq0VEB8E2nPd7SpGcPAQCmGuAMTZorLFCPhEbC8/MX84pvEiHCYfMgLqinnZViXmw6Jdhd3HxZEYa5+jvK2ndfakMbXAYr4FtPYXx0UrBhPz4TTWvGwNXvhl9t0sjy/9mSP39kLDhH5jz2KL+V/5leJZo90GDhxwnzNJyn0+MS8te0aEv/RS0GWZP3iwvmVeCnd5jU5nci3zpHmmpw9Hu/3iYt/GUPjEfKul822XmDcTZGYx+0D6nnzppXS70ynaO51UuBvR7xLznU75fmRu8F5u9qO2ebquE0Xpd4vNsGL+4MGFF/MLogPFtXoxsJjXWuOKK67Af//v/x0bN27Epz/96VK/SWDns6SbdpnobnZ2tmSpd433WfrJEEjxPo5ifigX+0Fi5n0inpBxpmqSqebTLoDGs9m72uzx0hXfNwHpaqcgJmNIVRm5fvd7laZrt3u72UvruS3mh4mZly7CtpiX5eZ8tbZdJb0GiZknZFJZTm72QPUEaa/vQxu67RcMJOaVUvgP/+E/YPv27XjnO9+JP/7jP+5ybe8V425i6s04II2vf/jhh/Hss892xc33isEnhBDSAIsu5u2xFWLeXvs8mpqGkwhkEXAJep+Ydwn3psS8qZtdV8z3SoBXxzJP4U4IxbyrX45brgK/b0cLKeR/8zd/E3/yJ3+Sx8lL1q1bh6OPPhoPPfQQ5ufnS32HDh3CAw88gKOPProk5k8//XQAwL333tt1vnvuuac0hjTMopee8y2DWOVty3zTCyGTRo339diUqTPLCL5PCJlgpMW9aqmy6jWx1Kp02fBCCCHETV9iXgr5d7zjHfjTP/1Tp5AHgCAIsGnTJszPz+Paa68t9V133XXYt28fNm3ahEAEmJx//vlotVr40pe+VHK3/+lPf4rbb78dxxxzDM4888x+bpkQQiaEUU5A9SvmhxD0Km54afe3LPoEJCcXCCFkqTHqCatRT8KNw0JGQ19u9tdeey22b9+OmZkZrFu3Dl/60pe6xpx99tk46aSTAACbN2/Gd7/7XWzbtg27du3Ca17zGjz22GO4++67cdJJJ2Hz5s2lY4877jhs2bIFV111FTZu3IhzzjkH8/PzuOOOOxDHMT7zmc/kdexJhu8BsR+XU9dxi0l+L4Na9MxUvrSk07pOJoF+3pt13st9nK9XIGpdN/uqY137LE1HSKPYD8++mFy7zT7WFcPrs5rbMe+9LOz9xszb5yaEEJLSlzLeu3cvAGB+fh5f/vKXnWPWrl2bi/mZmRnceOONuOaaa/Dtb38bO3fuxJFHHomLL74YW7ZswczMTNfxl156KdauXYsbbrgBN998M6ampnDKKafg8ssvx8knn9zv6yOEkDGiKfFtj5MZ6uW+vdhjxbZS7pJ1pcuIp36Zzb5XjfqhYuZNe8JYdTKRuGI76+7bCfB8Y3yC3OzLdl8b0J3kzo6Zd8XDA4XAHlXMvDxmEDHPCQBCyFIl0HppfcUtRKmAsSpNZ7e52u1z2NtjZ5kXD/VaFWXpapWmK+rhBPE8/KXppJU+EdtKHNPXTQ/zihcVlqYbJ6pEud1vlaZznqe+mNdYiVIZO1vMm1r1JtmpFPyy1Jxr8ZWmC1vpMjUjStNZde5lSbywVS5NZ5WoW7P6SLwwl9X5cZWmM8fkf6YBJwf6Oc43VpbfI2PJoKXpbNFdV8z7StOZBHf79vkT4B06VLRJ0W32AXfb00+XS9PFsb80nZw46CXmTWk6Keb7LU3XpGV+aT3pTh5LoTQd4C5NNzOj8+1+6sxPTZVLsE1NAaZgl6kzPzvrLkvnqjM/7qXpwhBw2HAHLk1n+mWdedPG0nSEEEIIIWTBqLK624trTFOW+So3+yrX+Sbd7AlZKrgmn1yfFcAd1lIVc95rfxwx31/LNev8qKCYH3dsS3pVbHy/MfNey/wifyPYlvm+s9gTshxoNv9DgHmULPPasswnoegHShb+8FDZ9FBaaljm4wP1LfNy36wBIJwCDmsjOJhVTxnCMq8P+2f9/OkIIYSQBWWSxXydvkFK01Uds5QnECjmxxnjKi/3kwMjcLNX3QJ6MenlZm+2TZ+Ku8U8RT0hhJAR43p4HMTNvsrq3m4Xiz2m0ym7wwN+N3vTLtvMeeWxpk2e11j/e7nZS7f6QWPmfTABHhl3XO9Nk47GXky7/EzLz6JSxefQLNLN3uzL8YZxdbOX927TS8wvZTE+LBTzk0TjlnmHgB9HMV93IWRJUvXkWiehXs0EePm+q93ut8Yoj1Ue8CfNC8Lisxu2yp9hO5GenVDP127K0wH+ePRw2t0uWYy8IYyfJwPgEspNutnXcZ83/b3GDetmTxFPxhlvIZiabvZycmzS3exHPVlAylDMTyo+MS+t9KrTLXJdJaHGXcz3sszn24n1pKIAb2k6eyFkXOgl3qXghmPb7NvCfIRi3rjla5eYD4Ag+74KVLdQB9LPNdAtzglZ4tjZ6u2+XjHzS03ME7JUqfqsmP0qMR/HZes20NsC72tfKLFtW+bjuJyoDxiu2ofdvlxj8inmJxmXiM/FvCrcz0vHTKCYV7F7kWNK9eWRraVQp3Ank4zvfVvHat+vmNeOdoh2+7wo7xtRDyHm8yFBYal3WeZdmfBNv6SXZV5auV15R3phxtBaTnowrJt9v2LeZY0blZh3Ce66Yp6QpYjrvd3r/W732+71UvB2OuVx0s1eCvlxcbPvdR6XmHcdZ+5dZrBPkuUnygeFYn6pYYS8z/1cicC6pSDmVQyopJjSzL/NlFjMPi3zZDkz7Pvc/qzYkwKyTfTpoFztMQjSz2sQAGHcndAOKIt5mfiuMgFeC4hfAuJDVgI9EYQYThdu9lWl4ZIDxRgXdnuV6Dd9/U4McCJh7PAJd7vPFuYmDraXmLdL04UhcOBAOWbeFvOmzY57HzZmPhE/q+b+fPHwQLd1scoqTwjpTZWLvemv2l9MfPdSFS7gmwS19ynwu6GYJ4SQJcconpy1te7jepVBg9bEo8ubyDVB6Vov9kQkIYSQZUW/lvkqN3s7EeQkinnGyy88FPOThs+1Pt+OC/d6l5v9JFrmfTHzQPZ6lTARVFnmbes8IeNGv+/LhXwfDyHmZb9Gt28uIROIbVl3tcu+Yd3sfVatpt3sfW70dLMnpDnsz5BS5e+AIJhMN3uZrd6Vzd5136bdbBt3e2mFn66Ru3a5QjG/mFTFbrqy0bsy13ctHitWfg5V3nZZu8ZNzFdlry/FylfFyPtc621hz6cQQlLsz0JDYh4YrWW+8juvz5h5gO7uxEsdMS/d511iXfb1crM/eLB5N/uDB8vHJkna53Ozr1Oazna1t5PpyXGubUKWEoNY5qXAnzTLPDCYm73vdZLeUMxPKnWF/FIT84QQBwvxBNygmDcZgICs4K7IZq9id8Z7iewbtZhfDDiBsCC4rOF2f9W+jDcfRszLevKSMEzFtl373b6HYWPmZY16OwGeFOujymZPCCFkcCjmlzL2g61xvbf7x13My6R3ch9Ik9/lU/4Kfjf7Kss8IcuZup+BBsU8NHJ3e2mdB0ZnmWfZO+JgGDHfyzJvi3TfZECSpFmspagG0o+GFPOjsMx3OuX7Mq6+xhIvLYSDWublvnxtFPOEEDI8FPNLhV7u6HKM7xjXmMWgLzd7OeXfy82ekKWAfC/X+ax6Ssjl266xrhrzVeetyGZfVcteoT/LvClVB6RrCnRCCCFjTJWbvStnBZBVcQ3KE3x2zLxpc7HYMfO+bbs0nYyvp4v94FDME0LIsqNfS7oLl+j3iXl7jC7WCdJfdFOuzlVn3p5wlC72sj1pA0nH7YYvz2X2fWXjVLtoryphVwe6zC8aVVZ3078QlvleCfB8ye1kuy+pnbG2y4f+fizzPvf3YRPg0c2ekGoYM0+agmJ+3DCxmn0nwFuClnlCSEP089Rcd2w/Yt5jmTdraY7oZZk3a5dV3oTghOKnjW72pE+qxLe9b9rsJHJ13ew7nUKM2272UVS0m6VpMV+VCX9YMU8IGY7lIOZdCfB6TbSSMhTzhBAytozTE7H96zxiMW8EeWUlC8++PWnpGl/FIAnwaIGfWHyivWnLvJ3gzsTJj7OYNwwq5inqCenGzidhsN3s5Wd7qbrZhyHQavUW8xT3fijmJ41hLfOTlADPbJvEd1Ux85Wl6Ox9Vzshy5FB3vvDJsAz20LMayXi5xUQZGMGtcy7jrWR5whUub3JbPaDnouTA4tCL7f4OmMPHHBb5m0xLwW6S8xXJcAz60ET4Mm+qgR48l7sMnNVCfDkca52QpYjPm8Xu88UfJGf06Uo5qWIt8OI5PdSxJ/DSijmCSGEjA/5k43H4j6ulvmmz9XvcRT/TnrFxNsWoCbEvC3kpZgGyg/oVWI+CIrj7dJ0g4h5aW331XbuZZkfVMyPkwswIU1y4IA7Yayxrpttg8sqbfal2A2C1HvHjDPnM4tps89rb0sWSsy3WsCaNd2zd1XfN1ViHujtQbWcBT/FPCGETCSDepVUZaqv0yct66ZNWW22m719n2HWHmZ9AaBDQAfIE+GZJ5UwAcIsDl6rdN2vZd6VSK+KYcU8hfXYYotuUxpOtlUJdImsMy/FtLHM2yLdjFkoMe8S7sOKeVrYCSFkvKCYX2rY9dh9bva9rF2LieueVZxmqs4zVsunrQSpIEiAUl15hbI7PSFk+M9CE675vvAXlE18Zj0qyzyT4pEGMT9LJqmdLdL7tcwPGjPvqhFv1k2IeWmN72WZJ4QQMloo5pcyVdnsJ0nMdy12dp1+YuYJIYQsJIuVuKhXEiVf+bhBLPPGGm/aXWJ+GMt8LzFvx70PK+Z7layTbWZbrglZ7vg+C76YefuzKGPmzb5cTFs/1zbnW4iY+TguQgjk9avc7MlgUMyPA3b5ObOuKk2n2tnSya3WwYHngM58YcGOD3YnvEvaxbZZpAV/LMS89S1kPuWJscB3kFrhgdT63oHbMu9bV4l8PokQMnbY1nmgGcu877tuEmPmbSbE1X+UGYulAH/qqfSp1y4hJ5PVyWN8D5121ngp1M14k6huWDG/YgXw0ktBnqSu0+kWzUZ42/daV8yb12y/zjpu9sxaT0j/2J8fmcG+KTHfq72pz6tLgEsxb7ebRH5yHBkeivlJoSqLvXFDN67o0h29tpgfIx85n5gvudNXuOkSQhYYe0KsqjQdRLtBxM4DgA6AJIudNzH0Kvu+kjHzYasoYRe2gHgKiDvFGNMux5rxsvydHV8fz2XbUbGUbt2xL9vCafHnSLqPcZ3Xt+3DNWZCBPy44LPMuyxFVW2+bVdSJ3tdZZmyhXXduu69xso21zZj4wlZfFxivykx7+vvF9d5zPdGlZj3ZeSX/YB/0lHuJ8nyTn4HUMwvD1xW9yq39cX+Bbev73Sl94n5Kos8rDGEkDJ1PhuDfH7sY6om48RaI/01Lz3BZHXolfWkAKAyAZ6Nrz8IU48nAAgSv6CvwuVtRRrDdn+vGmfXeJeWeeMmbwQ84BfXLuu5zzJvtqV7vLx2Xcu81t0u+3Ut83KMPVaOkf1m2yfmaZknZDBcnw/X58w1oScF+CSIedPWS8y7ytLZ38O03teDYp4QQkgfLJSYV0iz3GdL6QlGj1jMi3MEqhD1+RiHZd5ljbe367DEretV5d1c/b3OMayYl8nqgMHFvIxntwV63QR4Lqe0cZhfJ4QQMr5QzE8iPhd7ucg+aY23s9nbwXHj8OTQdX0lliYs84SQ8cL12XUNkaZAKwa+0Zh5T3vlS/AI+FHEzI+p4HcJ615ifbHFvF2TvQkxP4ibveun1+VeTwghhEgo5pcLzgdfhz/dWDw1uKx4w7rZE0IWFu3ZlvsaxUQd0F2n3lqU8OkL2+UJyrox86a9KmY+WlFsy0WOkQQhEAnLfOjYtmPqfTHzdVz65Rjfcf2EBozp5EAvfFnoXf0HDqTrTqfoN/XbZWI7KbClcB+Fm71x7zdu8i63duM5oHV9N3tfhvkq13q5zQkEQtw0+Zlwfc7M95Wd+C4Mu93tZRtQdkkflZu9fZzPzT4M00SgMpu9jIM3bvbG1d5sy3h5m3YbmJ529y13KObHFTubvZ34zmSxtxPfxQe7s9lLIW++KWRmDW0s3kBZEI8LtmVe3q/dbqCYJ2R8cbnUA91J86xFI02MB2RPDCKgMIybE/PxwWK7rpiX1vxQKL4wU3D9inmXZd4eI88RDvGUswBi3lXuzez3srRXJT6qK+aNiHeJcZeY9wn3YcS8WdulqHxi3hxj+kz9ePscPjFv71eNke1VYp4Cn5CFoyonhe9zPg6Y7yRfUk+5XRUzbx9P3FDME0IIaQjf04TrFznIxhsBr0Wb6bcXjTTzPYAYZdNEmE1gjlrM28LePt5HYP0Neon5fpPuTSgLJeZtF3ezXfUQ6Rtrt/m27WOqMtH3SjhXJ0M9IWSy8Qn0OmLetua7WCjLPNA7AZ5sN9jZ7qU13/dbYVckWY5QzE8KrpJ0vRYZM2/XuMifDKRlG5hMy7ztYg+M32sghBBCCCGkmyrBbofCuES5b1uykGLeDlWqI+Zdk6OkNxTzS4Gewr4qNt4Xgz5O9IqZJ4SMnmE+a75jXd87rvj6wNpH2qZEn9ZZuFE22Wms5WbbfB9KC7txjbct80m72K5rme8nez4Ab4b8Kst81Rg7o74cT4ayzLtc5oH62ezta9d1s7cT5Nm5as0Y2zo/jJt9r6R79AIghJDxgmJ+KeCyyOeWeeuXOf81NxbuSbTMJ1bfMJZ5WvQJWXzqTtBVTDx2TVoa5STWdpb6RrPZq97bdhvF9kjxudnL2HZfAjwp1OuIeVfMvElwJxPeAfXFfBCUk+RVxczXEfN1hDjd9gkZT8Y5Rt7GNSHYa+K0KmZeutlH/NnsgmJ+qVFlkdeuB+FJtcz7+ggh40eVZV72BdZ2YLXLflVu0yj/+uf+f7Hbal67znxNy3zShhOX9V96C4Sen+F+S9rJhKn9nmOA8nl1YttNWy6qg2jREuDViW3vp813LrldFedu1k3FzDct5inqCRlfzATguLvZ2+39xsybydIwLJcVBQpRH0XMck8xPyn0EzOfW+ZdTxRLwTLvE/OEkPHE9/lU1hhXAjwAPjd7O4GeUW8yqNA88YRJmmV+VAnwfNZ41zVkUj5T0i6/TuJ2oe9FXTG/RLwBkiR9uKsS87Lf5w4/Csu8KSEnrfPmHoH6lnl5v7Zl3tC0mHe58hNCFpdJ+yz6JgQHtcyTaijmxx1fabo6CfCcVvlJtswTQhafpj6LUogDZfFu77tEfYw0s71pC4E4ApAAKiwfYwrfylJ2QVCUkBtWzPus60Bvy7y8bte1rLJzVWXoloiYr2uZ9y2SOmK+Tmk6uS+tQ3JMp1M8uBrRPayYr3KzN/gSZLnG1GHSRAMhy5lx/bw2JeZJPSjmCSGETBC+iUfXpKUc6vJj9jwt9Bszb8fj142Zd8Xx52MS97Zr37R5xhkX97TNdS33LVQxmJt9c3Xm64h5KaR97vCEELKYVCWaDIJisalyeR9XN3szMVqVzT605spJbyjmJwGdAKotlg7ysnO+xUz1K+ma3q+b/bhM+Zl7dT2ou7wLCCGTgfnMmu+lOm72si69w80eidWenUdlYl4+zeRPTNJCHvSfzb5K/EvLvO1qXynm5YRAhZgfc0t7XaS7vK9P7pvFWN9dYt62wrva+rXM+9zspWVdWttdkwc+y7xNVcy8HCPX9jYhZPnh+w6QkwSD0ISYl5OsQHfMvGmTMfP2dy9Qjpk3HlMmdr6q5vxSTKBHMT+udLnV9+Ni73KtH8TNflyeCMblPgghBXU/l3XG+UR7lZu9PYFn3Oxt93tznhDQIaBFe+I4bxAA4Vy3kO/lZq/Ek4bcljHz5riwVSy22DeLLKNnwgHMubSIq/dZ8GVfyTJvPeW4JgP6idUfApdVfRjLvP3w6BLSTSfAsxPRye1+EuARQoiN+X7o1zLfi8UU88bTQAp3g0/My+9fZrTvpm8xf/vtt+PBBx/Eo48+ip/85CfodDr4/Oc/j/PPP985fm5uDlu3bsVdd92FZ599FkcddRTe/va346Mf/ShmZ2edx3zzm9/EDTfcgJ/97GeYmprC6173Olx++eX4tV/7tX5vlxBCyERhe94AbjHvwnga2cdIa76rXZxXB0ASC//GEVjm5Xhf5nyZoE+65QNuAV8VMz8hYtFlXTftrnG2kJ9kMe9zta1rmSeELC/G+bPfq0KH2fbFzVd9B1dN/C5X+hbzf/7nf469e/dizZo1OProo7F3717v2Pn5eXzgAx/Arl27sGHDBpx77rl47LHHcP311+O+++7DTTfdhJmZmdIxX/7yl3HllVfiFa94Bd73vvdhfn4ed9xxB97//vfjq1/9Ks4444z+XyUhhJAxRnoDVbnW9yPm5bEy830PMW8Cu3MxL0wJQLNi3ljffUt+S/ZxA4j5RXLHr4qZrxP3bsb5zimF/EKLeeke73Kztz0GqhLguR7Mw7DbFb+OmB/mIZ95BAhZOOwQm16x7lVMmmXe7PM7Z3j6FvOf/exnceyxx2Lt2rX4yle+gi984Qvesdu2bcOuXbuwefNmfPKTn8zbr776alx77bXYtm0bLr/88rx99+7d2Lp1K9atW4fbbrsNq1atAgBceOGF2LRpE6644grceeedaLUYHUAIIYQQQgiZPOpMuo2z9b0K2zI/6OQBqUffOQPf9KY3Ye3atT3Haa1x6623YmZmBpdddlmp75JLLsHq1atx2223QYt36vbt2xHHMS699NJcyAPA8ccfj3e/+914/PHHsWPHjn5veenRK/ldPpVvrFS+JZnAxfU6fLkB6i6EENIHtUqDjnqpyqsyBguqs843tdRx07QT2A2zDHJtn7v8qBZCCCHLh5EVANi9ezeeeeYZnHrqqV2u9CtWrMBpp52Gp59+Gnv27Mnbd+7cCQDYsGFD1/ne/OY3AwDuv//+Ud3yZKNVt5ivFPJLaeHTCyGLw7ATaQuxDPCdUqnOEsciK4mMqaAnhBBCyJJjZP7qRqSvW7fO2X/sscfm48yY3bt3Y2ZmBkcddZR3/O7duxu/V0IIIZNOL48bba0rYua1AnRQDu7rVaA3sBLZdfV74uBVXD9mvvJ8Vkx8OF2IeA2xPXphL+Pj7Zh5U0LIjLNLy8n+0vms/SQBOp2itJwrpl2WoTPntdva7cJyD3Rb8k2btMob7GRMxiputo31XsbIA+X9YRPgEUIIWd6MTMzv378fALwZ6027GQekme+POOKIyvFzc3OV1129ejXCcGQOBzlr1qwZ/iQqKa/ldnIYoNrpWidAPJXud0IgngM6QfoQmEyl250AmJoHVnSAznz6i98Jup8WZAaeRLqtywdd+6F3sbEf0OV9Kc92v+d3bQ96jsnjcEwv9i2QJcUwAXJVCfCkYA1Rdi5LxxyOKXQ7nWWl6aQQr8w01O4W8lViPgyBKCn6I6FIfaXpoul03fKIedMPpNvyXGGrO+N91AbCViE2gykgXAkASDSAMLun0FLLQZS2yckAU/bOtK18RddLbnfK+13l5YIISZL+aQoxH5XKENn9Zt/GJ+bDsJxEyRbzpg8oShnJMk9RBExNIU/KBBTnkP/k9r48v4sgKK4jxbwZ3082+6mpw/NzhOHoxTwnC8iomJ4+fLFvoXF6xYJXJYir853Saw65n3tpgroJ8ExpOfN9bl6raQuC9Lu31Uprw09Pp9srVhRthx0GrEx/wrByJTAzU4yNoqJvdjZdpqfTNVDUm5fbsi59EzSiAxtiyWWS27dv38ivsWbNGrzwwgvDn8hlKcnrAh/IxPyBTMzPZWJ+HxAfBNpzmZhvp+K9M49gfj9wcC41V2gN6A4KoW4Wcy2zPSli3rUGKOaH53BM40U4zGGEDMyoxLxUet1i/nCsyN7LHjGvxTm9H1k7271c7PuS9xIV/VIY208zpi2aysT8od5ivnVYdlyVmJ/OxLy5RgREBwFkYjiaz8attF5ulLaF0+U2Ieb1IesYdFvQfWJeWt4RRPm+GdfLMl+Vpd5Yz+tY5vftC7ra2u1i32WZl3PfdlkkM9ZVJslnmbez2Zttn5ifmjoc7faLpWz4FPNkEpmeTt/Ly42lKOZ7zYkb0R5Fuuvnz3yXmu1Op1harVRot1rpvvy+M9+RrVa6hCFwMP15y4+fnk7XwOjFfGM6sOa1ejEyMW8S2Pks6aZdJrqbnZ0tWepd432WfkIIIePCqBSBPfFmX6eOm32TNPj0ZJe3M3Hxss9e220mPAAAdCj6UO1m74mrz8Vn7OiLu8eWxXzWJt3Tg2I/P8ZOKmddylleTkd9i3kj1u02n5iXJeXsesimzS5NJ+9ZHuNzs5fncYlo3zUJIYQQw8jEfK8YdxNTb8YBaXz9ww8/jGeffbYrbr5XDP6Sw5vIqFdCJPlk4FtQox1iTQghZLmQC28jIh363+f6Lo83Mel2zLwZJ/ulRVziFvP9W+Z9MfO2mJci3SXmpXVdRq7Zlnl579K6JNfyPL1i5gkhS4ul/Ln2fXfJNn63NcfIxPy6detw9NFH46GHHsL8/Hwpo/2hQ4fwwAMP4Oijjy6J+dNPPx0PP/ww7r33Xpx33nml891zzz35GJLhEvN5STqNsgu9Fm2w+kfpZt/kJ9V1LtWjv9/z8puFkMWl6jNYZZmX32k2VS7yVWN7udm7tgOU3PnN7XT5J2aZ72UsvZ38zljW7X37ODlGOXwglegP2mUhHkSAikq+h4lCWczXtMwbwdyPmO9YYlxayM063Y6QZGOTAcT8/Hx3m0l+Jy3swPBiXrrFD2OZjyL3ZAAhZDJYqp9Z1o0fL0aWKS4IAmzatAnz8/O49tprS33XXXcd9u3bh02bNiEQ74jzzz8frVYLX/rSl0ru9j/96U9x++2345hjjsGZZ545qlsmhBBCBqDCE6qyKHgvT6thF9e1KsrXjaDWPCGEkMGo/PlYIoudE4X0T9+W+VtvvRUPPvggAOAnP/lJ3mZqxJ999tk4++yzAQCbN2/Gd7/7XWzbtg27du3Ca17zGjz22GO4++67cdJJJ2Hz5s2lcx933HHYsmULrrrqKmzcuBHnnHMO5ufncccddyCOY3zmM59Bq7XkcvYRQgipRZVlXra5zCG+dhuXZd5ud4212+R1AWhhsTfmmiAAgnZvy3zo+N2zxwrL/FP/GAGhBqL0OmkCvOy4SGdWcpGZKMqWjESlXgRJZuXXK6ynrSyRnaTbMh+g3QnQ7ggrdxCULOOJsazrOpb54thEBX1b5gkhhJClSN/K+MEHH8Rf//Vfl9oeeughPPTQQwCAtWvX5mJ+ZmYGN954I6655hp8+9vfxs6dO3HkkUfi4osvxpYtW0qu94ZLL70Ua9euxQ033ICbb74ZU1NTOOWUU3D55Zfj5JNPHuQ1EkIIWRK43Oolvdzs6zComHdt2+c1Yh6pO3wQpBnfAuFO76ozb7vXjxpZnz7bL7vmexLgxcW2SYBni2wlE8tlzgJyXOIV8yjc7MXYpELMJ9bEgd1WcmCw3OxL+QezfaWirmR0vjj4qjGusYQQQsggBFovrZ+ShSgVsCCl6Uwpuq7SdL8sStPFB63SdM8CB/YDSQfpU9iwpemaMGmM+u3VdMz88oOl6cj44ysHV25PS9N1HGOz0nR9XatfMR85ts192uNNKbsAiFrdtYrCMC1HZyzy01kVF1OSTpamMzXoTWk6FWWW+Vbe125DjJtKhbcKCwt9tLJUsq7dRlpaTmWl6VYcXU7wpqLuOvMqjX8HgLiTHq9UlFraM5Gtg6hkSTeW9TgxIj2qjJkvLPP9Z7OXSenMU48d027wxdAnKuqKmbfPb/rk+e12n/C3MeW8GDNPJp3lWprORVVpN18s+riVpqsqmWd+wlau7C5NZ8rPme0wTNeHHZauX/aycp15Y/OdmUkXWZpuMevML5vSdIQQQshosdXNOFvmXccGSBLdPSTU6SRuaJ6YMqUYBkCgs3mMsNv9XqeiOklQ+tM4M8+rwoJu48pmXxbzRZ9sU0IwA5lIF270GmXx3e6U95NKN/siYZ1JmucS81Lw2sLd1daPmFe6OwHesGLe7pPYkxOEkKVFkxN0CzHZV1fMA+XvLnOMUuVtQHy/ehZzLn4f+qGYJ4QQMoH44uKbF/OJqmPVt0MA0OO4bIw8zlxSJanXFTJl28l+qqVlPoyAUAGt7BpRuiRKo93OzpmZRdoKQCfM2xKVXrcdm/s4AESFGm0n6QkTnVnm45mSeE90hI7lzGPELgB0DgEaqWU+iYt2HUyXLfNtIE4iIeajTPRHXQ9xgHCzF+vczd5yaTfH5vvKWpuX7km9YL9j7Kkd2Q6k8yxKN2DyIYQQi0nzyvFV6bDDjuSkKIX64FDME0IIIV7qJs7rFvP+48xTS5Btm1h6IRkDYV5PMuVsYua1AnSEJFaAssV8hCSJijh8AEkclFRokgCJDjOBHqYTA4mZgEAq8oMgF6caB5AkUR5DroS7ef6KVOZej9RarhEhiaPchd68vJJlvoeYN2uvZT5Jjyk9OEoXdjkBISYH6ljm7X05YeAaQwghhCwGFPNLFl2x+Prh2G7iPkYJn6gIIXWo+11hxtl2WLebfZX13XZFd45xtgWFiz2QWuDNCQOkQj0IkWgNxCo7RqeZ6pXGgY5O3fEzQd9WmXt+dsEkO1XbcX8JUtf49HIKGiGQlLPOa124wxukmG+3s6wsIh4+jZkvBLkR8zKTvUlsp1Fe52I+LoR1vrbEuLbuKX9dfbrZd+3ror69HGPW0jNBtlH0E0LqslS+L1yWedamHx0U84QQQsacfoS4z/2+3ycJOd53vEmsJxPsBeIe7CR9geM4V7x9C1DZmACAzlRyoACdWebDTMnmswE6t9gDEaBbMB4ASRzmLvcIo9TNXgeZMT7M7jcsXB4zy3wSR9BQ0KqNWE3n4lmhEO4GE8OOrE8jFcslMY8EsShVF3fK/SUxr4u1EuJbinmo1OXflx2+rpi3cT5QWw+nrnVVW8/zE0IIIQNAMU8IIWQC8Yn2USilqnO6PJm62xLPZELiOHfJYl6aGwiRCvwQUCESXZSwSxACOkCig9QSLyYJ2giyyQGkAhjpopV119l8QGyKqphs8FNWmTmNUp35vD077uDBTMyrslu9RrdlPk4KwZ4I4a4zMS+FrxHzuTu95foOa7wU6jIGv2RNd3lPeP6564p5QgghZKGgmF8WLGU3e0IIGQ1GgCcVteMTp3XdHC/PZX8Xpt+1pl2ObcvyoDpAUfC8k/kqxgBCJJjKj0zQBjCNBBHaOgTQAoKsNF0cAaZkX7giPZ2OskPTCQIdTKXCWAVQcZS2JxF0J4RWzyMRse1KR9AmjF/Etee13A+k7XGWAA/IJg6CaaATIS86EANQkfgZyrZhrwEE2XGlcQD0Svc8Ste28VgQ7TrK2q1/mQoxTwghhIwTFPNLGpdgp5gnhJDFRX7PigR4RTp7wDWBkB2WZP1JfoxsU2kCPAC563+sU/d805SkYhsKaUw8olQna6QW/FilA2MFnYTQCKCTsMgcr4CkY24phFJBmpguE/gdY5lPgty9PVERNKbRiaPcEt9JIrSTKLeuKz2d/VVMUjvhQh+IpHsmMZ9Ok/H5LPOl7SRCoqeziYzsnrJr2/hEuxJ9VTHzvc5DCCGENAXFPCGEkGXAMMqq+9g08V2ARPni3iH6UBLeENvGsp+IY8uJ82Q8PlB4AwBJ7jBf/D8BkCRZHHygkagAKi6M+wjDTNCGuZjXQZBG1xvX9Ti7j06AOAmgdboulZXLxXyQi3k7AZ4S9ekTnQBoQ+lCzCsV5WLcuNRrYZG3xTxyAT2du9orldQS86l7fVIS81on7rdFP1EVrnlwc8sVp3GfmqXtCCGE9AfFPCGEkGWLL5a9ENi+jPP+PjkmqSXmbTd7m1zRZjXizf0JYa8CJAiRqBDxoSy2HkDSDqE6WXy9uW5mgdedVIxrBFBBkCa3UwE6sYZGmhk/iTX0VIBOLOLfNdDJhHuidCkGHsiyziM18JuS94kKoJEg0Ukh3JMIcTItxLz4K5j4+eKl5/tKJ7nwjxO/mLf/hCo7f25VtyYCDMojql2l6Wh9J4QQsphQzBNCCFmS+IW6HNP7eFfMfGFRr7DMlyYE3KXuEpNxXsbaa5XFxttl73ReVi5R2Tbi7HiNRIVpObl2kGlgBdWOoNsRtA7yy2qFzFfeWOajVEyrNGZex1HarnTmZh+n6zhI+zXyBPtaBdlxIrQ/EQFcQvTq9JaEFTsB9AEx2ExjZGLaWOCBIk5eA0HpAuZc2cvziuvICkyI0nQE2bWUI3Z+dNACT8hyZSlPALL83OJAMU+GpNe30hL+1iKEEADdPtZlH+xEhRViHqU1kLmmB4VVOz9fGKIdGzGfStN2lo5dqQAaClABOi+llnUEGqqtkbRTK3t6WVP7LUCcucOnbvaFhb2TWdaTLLO9biXoxGFmmddQOi9vj0Tr3G3etB3UWX47EUeuTDZ98afSKi2Dl2en18VfI42hj0oiO89Ir4vJAWX/6StQ5X+WYoIBlnu+5/iqbPb2NiGEELIQUMwTQgghgjwePndhN+XfCtIM8UHe54uZzy3pvmuZ86mi7nw7Ts/Z7W6v0I6DzLU9u46JhVcKgVKAihAf0NDZz7tqR0jaERJTNy6cSmPl4yiNh0eYJrEL4iz2PUAnbkEjRKLSjPQ6UOioDmIVQOkACkEueBM9lbUhq1sPxEkIlWW598WWmzJ4cI1BamEP9IHc0q4RFX9hPS3OJf+ykUeJR1afmSBISv9q5fGEEELI+EMxTwghhGQkwnXetpqXS80V66QkIDXa2oh5CLd43/VS2pk1HtBoxxpAgI45sVGaIdLM9CpI1/LiKoBSClophHOmfB0QZG72KjMb6yBOa8mrCEkcZHccQiET5TqAUq2sLYJCBI0pKLSgEEIhE+7ZLcWIobIbNC8xnSBopfer0nCBwMTsG1f57HWFQavQ8kJRawCBDkScepJb1gMcyMdFOgFyV/npSjEf6PJ+er7Czd54AeiK4AvX3MTCuugTQgghBRTzhBBCyILgcsUX+7nvdmZ1zwWwkclBKo6VLizaue+56QPKNn1jlTbXM1btCIEuZgmCQCPI/0tL0wWIECKCRpTZ74tsdDo/Mru8fEn+iANn1ndDIIeKePhAizb7/FZ7pau7609uNuWf33c43egJIYSMGRTzhBBCyEAYn3FXu2stsU31djy9wwFcI00EZ9zTEw0YN3+lEai03Fygszr1CgiSGEGSCKt0er+BigprOUIEWiPQQboIMQ9E0GhlrzSrOY9IvLKsTaex94ARvXE6GaHCtKEw25dej1ZuEW3EtUtkl+PU2zATFKVs+E7s/rKbfbHtPk/pX0ikABgGWvUJIYQMA8U8IYQQMjRaxNjrfJ2YcnKqLPtyN/3MOt4WvvqdBFkGuaxBpmiPddoeB+lJ4sLNPlBpfrvwUDbJoICkHSCJAaUPZSc4lGWuD6BLQrKFQtK2kNrco2zbCGYT1x+K+PWpbAIACIydPozSsWoaCML0HEF2LeNfn50hhBL+9Vbkuo6gdNg1X6JUsZ/+2VJPBKW7swwAyAcXwnkawDSUThfTl/fr2eJaues9RTchhJDxg2KeEEIIyUjLu5kEeCltFWV9xbg0AV6auC4X5lnG9rZInJdkSfLsmHmzb45RsShDF4eF27xdXi8WiwpSUQ+kSe2Mxd5oWgXoGNBJt/dAiCzjfb6fzxwgzJ3qI4RoAVBoYQrIY+YLy3wQFgnwTIq6tD9EHEwjDkNAtwAVpV4F2TWK19USYr5cii+dKAgBHSIQf4cwKB5dQvHSTFb9LvIB+b+oY8i0mKBIChEvvALoZk8IIWTcoJgnhBAy9hRZ4/397aiFtlDNg9SZP6Cirmz2Jrt8OZt9+vPZVpEQ81mfFmJepWuVx7Nn5ALTiHEp5jNX+rZLzIdlQW8ungl5pYA4M8JrDXQU0EG3U39q+C/UqS5OgQQJNBQUYgDGot9BYZkXmeUxJWLt09Ygs8wHUKmrvZ5CGrcfideTnSv1zxdtBYHWCNUUumcidH4erVtivKfOvJVHMP2jHUCoE6jMNT8UAj5NjmfXn3e1mfNGpbWNPd43J9D9bk1KLv/0DiCEEGJDMU8IIWQsSUryq1qY5+7slmTr5xr5eUw2e1UekziOS0R74WaPfJ1kGeKzgu7FCexweiX6FPyWeSWWkaAzUa5z+3n6FwkQQAvJnhIg7Bbz+XkSBNDQJZEu09yF2Qvx/dvKF2r/LXTWqqzz90P5X6+4w+6SdU0a5e3sCAb7GoGW9+f/K7mg8CeEkOUBxTwhhJCxJa/xXsMyn4RhaVy7hvyxBX87Drss8weMm70cl7W1k7DkMp9oZDXgkVrblVkHRQy8pNIy7xgfp+26jdyNHkhd7I2LeZzdqIbwyBen0Nlria22VDoHRaL8bF9nkjmGztoK2Vm0FdeIMxd+lY80gl0Icg0Ulnl5F/KmREr7cgfKMttcuV9R7xbzrmkgc+cUyYQQQsYJinlCCFnG9BLJi4mJNwcKt3bvWBWiHbbQFkHTg4n5qJhAyK7vEvP5fWViXiVBIcxjj5h3WdNzBSzuNQ68Yl7HADpAYsS8qUzniBfX1iLbXcb9dJwWxwTZ/ny2bURtIWhdbvZTWcy9CqehdYgEU2kCPG0S6yF1v0cIYEp4LKyw/jYr0sz82nqP6uIckW7B1IrXCKEcgl4jzKr6Beam86R6JmmeQlv4AOzLt4vzRVkugAgq/Gfl28yS5/nc7O328oSAezt1zbfd7OvTjxW/Ck5eEELIeEMxTwghZMGoE8dejHXbTb1jVYB2Dct8Ilza7fPOtVtCzKei/UDcLeaVuU4ns6KXxLwZlIn5uOV3jS/M2eLc8Ir5JDO1d5LUcJ1fynEqcwr7NNJi77qd1DIfiG1z3iAfg7xNXtvY4Y1lXmf15wMEgW2/T2PvEcps9tYfSGsgS7xXlqdFVn2ECmaCINAhQlv4A6n4D4LCHd84B2hABWlbOhmSbQfFxIjSSTY+Kdrwj+W/WSbm7dj4cox9WbTnfT4xjwhR0IIO5oqXkZXgK+MT2+576Rd3UUUKfEIIGRco5gkhZBlT1zLfjwW/SrDXiWOX56myzD+likRz7biFWTWF54V5Olae+7Dj0/PtEGiHwuU9s5CbTPPZWK3CQszHKPzWTTk5qZIVEBu3edeLN6XqhWpSony9sv6WRjxnhnl0xMtwJblrO9p7iXkzxuwXYr7cB5jKeLr8ZzRiXmvoUqF4WSAeKP5o7tJ06RUz0V7qK6zx/WDHpzsyEtTEnh5JxXrYdbKo1F9un7bGdG9HQRs6KK7ltsy7/w7dFvVBBHjUlzdAUww68UAIIcsRinlCCFkCSLFdK4t7Tfd11/lL7TXbir4+LPOq+j7nRDx9HLcAtBCXFKpPzPu2w7LQt8fIpHV2ArtBMPH1tpjP1gm6hbgR82ZtJbPvum3XOczcg+vfyXWOQtjr7PhE9AelNYDM3T5EEAQIkUDlZxX/hkHmZq+DcmLA0o22sr+1ee+F2XZV0jwPQViaMwjM6zLGepEJP4DYFqXpwmwd6Lb1z26Lddnu6veNT0pjAsuvwv2K67n2DyrmXceZc4/KQu/7l6XLPyGEdEMxTwghC8ioYtQHFfPDWuZdgrBduhf7PBVWe+sa8tgD7W4X40MyJj1uYR5hYUUH/G7tHjGvVViq0W7WyrLMq7iwzGszPhbu8VaAukwoZ9+GdIm3+1xW9VKZebit6/I8rnMA3QnwqijEfPe/nXIIcZ3/l6SWeaflPZsRCex2QWCEuxDzeQb8KbFv99tk7YEqdhGmjv7ZLEoE5DMqSrwPzevTYgJHWVJe6RhKd/815bG61A4keR17KfgLEj2NVhQg0i+K1mHc7KeztV8Ql/siSDEv+2g5J4SQ8YFinhBClhlp/XO3mPdZ1fsT85G33y735rpG2zHmgLDM53XbTaI4FaRx6QiQtMNCOZWC3K1FtptNr5gPIK3xckIiVsVwlzAHuq3o5tbMMbb13Gz76sOb8b3EvLy2u72edbuq9Jsr4Zw5xiwyYV1BbhuHnC6wz16OsTcTAAkGszT3IBP7YShr13eLefuv5qtvH+Svu9yeaFN2DkC2tg8PdRtROAOEB+SRjpuuFvPdwts1IdAfoXUfFPeEELJ4UMwTQggZKSWvAZWVcKsY1zax8KKvU7K4Zxb5dlbuLQ6KbPBt9Cfmrfh2bQWGK51a3H2HSO0vw+dhtdsG+zpi3uUiL89n34sLl5BP24M+xHzFuNA3/SPz35u77OUFYj2ShEl6vBYJ7/IJgel0W4fFcTpEV+Z7BEUWfdMXiHtxJcyTR+eCPMjPHwXFMVqHUDqEdpwnVmFpEiB/WQqIrHkMW8wnOgGC5xGFh0TrAdSjsKgH2qynS2sXgdMyPw0gglYrRU/6rg8td/tRi/rFiN9vGiYPJIQ0DcU8IYQsEsO43NuW7aTCtd113UI425Z5Xwb4IsN7eXw3tmXeFvPtOHCWUC8s7o5OWbrNlHmbz0R8O4KOw1TjHwzdht5MASsrPl0qBKWDLKFb+RRV+t8W80acw2q3LlWyrPvEvO2ab/pke11X+WEIvFMCvUknAuoeb43LXfCFmM8nBGKxbx5lQofHvkPM58eYc5o21+dRi36zWdxnoDNJ6xDzQaDcEwxB2FVG0EZpQAeHSikc6ovZIiNCkZX/QLYuxLwv+35KWcwHQeIYl65j1duFvxfdGf9990UIIURCMU8IIWQouiYWxHY7Di0xH6CtgI6deM6sZT32Utr0Vnm8sMzrdog4TjVTIi3ztkLWDjFvDbFd5XuJeZNN3sSg2+70dcX80qRfW6o1Psgs87mFX5q55X7gPj4fZx8rj5FC2xdvn5XRM5MArskgp5u9ytrtyYwWwp5eCoH4v5/+p1lc02g9bwNhcFjWIER3JrLD4JV938UgJBT1hBDSBcU8IYSMOQm649sTyxW9KgFed9y6sMxbWeLlsYl1jPtc3dcr1XpPMms7UIhwO/taSczDoaiDkphPMtWs5wHVziz6Oju845Y/Upz7JKZPzBvLuV2iDSikkRTz9hyCS8zLvqTHPdl4HAv6wuH93TAm43w/WeddfghBFstui2+TGC9Ebzf+FsqW9wj540/p9hzH5272rfK+r18StMR4MyEAIJjKhbAX1QKC3pLfWwlAXLW0FsPtOP/QNxcCADhoRkHpqGThXxL+74QQMqFQzBNCyCJSx9V+GDGfKDtdVbWYly7ybeuYdN0t+LtchmMhVJJQKOOwULtt6TYvssVLNZyttUIpw3gcp204BKgk/VsoFLHtLm1hW9pd+JLYVeTMm1iCPKZ9tFcJ+hDz2ifms3N196HIUN81RH6uMpf8Ljd7G5+YF+74PjHvOla1rPFR3h7oKc+10xcRmmO9mj/ouh/lcvU3V84+14H4HAXaGlTr7aCgtILSnfzaYfh8evgQlvNYTUPD7a5v9rvd7Zu11Dftzu86XzDC/AIs3UfI8oRinhCyaIyqTNtiU1lnvSTIw5Kw7nWMS7A7Y9YRFP0qzDPI29cFgHZcfgBsqyg/Z6fkFx6mVsBSIjljcbduQEwIIA6FKJeW+UJ5aaG0tfRTt0R9cc6srVMu06Z14fbuwuUyb7u+tz1jKnLmdd2Wfbvm5bgs8ya6uR/LfD/9k4VLzNv0couvGJe/5QL4Xeot7NJ5lWLennBoWf2RaJdi3o7dB/IEf14yIS09AirHm3dYzfGy2ACA0DknY/59TGK+7vJ19QVmEec/mVBIE0IWB4p5QsiSoE5t9YWiUsyL+2yrqKeYlwnk5PpAkj48Jg432zaCogSc49zymh3LMl+q094l5mGJedNXPoXOzq1UACVSryuHm71S6WLOo6RpXcTOS+u/GdJGIebN7Vb97RdLzLtSAMj2KjG/vHGIeWmJry3mu07i6fcdE1SMqRDzgbLGGzf7Frpj163zBDGAFSLBg52gz2VOr/STd969xD66/nvy+WxtJ9ADAmcpvO5kd/IuI/vPmJ+r2jJff+JgaQpvp0cS8wwQsuShmCeEjA29BHkv0dvUdQY9L9C77Jp0e2/HrRpiPsit64U1PUT7YPb17VOOuXL1nNtY1S3LvE+ka5lWu4eYNzHySgHKuMSjEO1aCHYlhLpZ2zHmPtd4I+alWO4l5m1cSel6ifmq7X7EfHnM+ExGNccoX9MwPgnD3JdP8sqkevI6PoFdfZ4gaFvttkdAJpJFacDIaWnPJgHMJEgY+8fL/aC8PyU+/0oDiS48bvIuHYsx+bec4566Kb4DypnyZVt3tn1Y+37hKo/ViJzn8rvz+67p7ismFVzjq/qGQ+YxoMs9IcsHinlCyLKkrkjvlUwO6I5lbzt0hlvMd1vmE2VdT2UTBFKYd0LgkIgzlxihbALAfWI+DqBViKRjW+bFqTKfdaVEEjuk59c6S6ImssPbWeJ9ml9aon39sNpd0u0gymI+RLV0qCv/7HH9inli6M/foGsaLPB/SrW3lJyhVwhPXcu8LdB9lnnXoS2rP9sOXceI8noIADUN6ETEoNjC23xQpWirEPN5Nn4zXiTkg2iSL1eI+TAovidCHSDSRe69xOEk4IrfT9s9CSrzD05irYt69i7Lf3m/l9g2rv+9oUWbEDIpUMwTQsaKSit1hct4PxZ0GRfe834qMrW77ssl5qVgT1SIdvZA2+m0UrEtz2mJeae5tx1CtbMHU1u9WmI+TxxnC+1YPkCLexVKOzaWN0elcXMZaQ23M6T7Qt7ly0kc4+x/m7piPkLvmPk6uMb5jnUJfzJ6AqgF+lv3sOIHFe+qAHDH+Lu+46RoD1ILuhZuLTZ5rLwQnV7LPLLs+TIJYCDOIVPcm20r3j9ZUTpnEABBmB4fBo7vRF/5R097/t3h6s+s/KGu/y1vn6acud+2zJcT73Vl6xfHdTPt6HNb+JWOnCEDrokDWtYJIXUZWzH/wx/+EFu3bsUjjzyCTqeD9evX46KLLsK73vWuxb41QkgF/SS1Kyd0CzMLdNjV78rYLsekYt790N1t50nFfNsWzd57LO/LbO/2fZrxnS71GhYi3cSNA1lyOLEAXh9t+Uyv2kBsLPM+5Wss8wbr6TZWyGuuyy75EC6t5/IyZq5Ai2049uuI+dgaZ1/LHi+xxfwUQnQqJPswVvMmLO4U+s0SVAjp5v7Wrjj4mkcGyhLYfXgS6BDQnfSDXyXSe4p5q69UKk9uw9qW40MgWFFuL137sLxFZ+ePnPH9Ptt5iKn4sNLxpVt3eP70G99f9ghIRBgAYPx5ZLhPl5eRBqrEfFn8F5MDUqjHahohImhEJTHvFvZVXgg+itfkqgHBCQJCliZjKebvu+8+fOhDH8LU1BTOPfdcrFq1CnfddRc+8YlPYO/evfjwhz+82LdIyLKlt5t57+zs3uNQT8zbpdfaSehMBAcUlnQjUtPxETpJPTHf9ZRoEsTJB8tSpvcgU5hBub9kWU/7dJbRXcVBKQlcCdGej0mKCQPb0hWjnKfO9zKkGJd9sWdsx9r3uZq7xLzr+vJ6tphXcNtD7XMcQnm+Aj3E/GLj+xtQ5C8Gdf0vBo+vD2y39Uq6xXyENpKeYr7mObUlznuKeav0XWSEoDynSei3snx0fg37nNlhuoXypEGYJfwDAh16Xq85r6dUYWUmf9vtP3C6+/cW83Fp37QpHSAoBfhMZ1exRHtQtEuBHkoxn28XFv/aIrw0QZEeI5MJNifm+z9PFKzAVHCg98AK1JD3P8zrZ9gFGWfGTszHcYwrrrgCQRDg61//Ol796lcDAC677DK8733vw9atW/GOd7wD69atW9wbJcuWSS6n5rJet8PQaW32n8PR5iq3NsC9FYvZt8R8Xm+9EP1tFaax557zdhLL4q3CNOZcWsp7IZ/x47C7TdZPV+hOia7CsresyORuRHouyi09YcqtSUO7vW2fWlkL4Bborj6XADcvyT7ed8ygYt4+xqaqfrzZHl8pT0gfBCa4xTfp0OfvUOmrP4RbwDsOqLT2Z78besZqt8R84BLelpg359AhoIwXQMV95ZMRtseBIXTsBeV9ZwLAMBX+TjHv3k/Hy2nF2DEuyMOW0nbpUeGyzE/n67oiNFbSO6Dadd/2GnDel5f+jw11G2HQtsZSIBPSBGMn5nfs2IHHH38c559/fi7kAWB2dhYf+chH8PGPfxzbt2/Hv/23/3YR75KQhafdQGZoZ01yFdTMN+w/h6wQnORLtdt7d7sl5lWQJ4MrrOpBngwu70uy8mc+XD7fnaDI3iTbfedxCHGnipTu7SUx7xgP5GbxRBVNLhfzjljbt2rftn0rVWLehU862H+aJsV8nfsCelchSOXPUswKT5Y+3e/8ACqzWNtCddgpK/t8VZ+ZqkkDI8bsTBXVlvnuPAIt5N8EuiWEseu+zLFTKCX00/bjbNVEQIbLV18rhOj2hgjEfim23+UoILZLR4lJjZKbv9guxL+xYtcXvVGwMGJeY6Xz+Kpjo2AFEBaW+XTiwT7elaeAENKLsRPzO3fuBACcddZZXX0bNmwojSFkVPSdhK1GSTV5nC3M23HVA5P7mKr76b4/s7YzpYc4PIzwovLb0Y2wzrc9qky6sVda5l0qUFkPd7JdxpubY1RQtpDHoff5VluqVlku79olvl3H2/cuX4YOcmGudGppL7uPB87a5MbVXY6VyeRMmzH0d6zjzbZvXkGOHcaVu2qew76ffl3JaUkno6A7ZePkESBIpzYrsvr3czZDX98FVdc2IrTfMICuPAKtYnI1aAFhVRpLwzQqLfNd4l7ekzxGWPh1CCj3Y3E5xh0Ipbi3QwM8Lz0IWu6/fe7eHzgSBMqp8h6EfUzLi5KgEl+CwnLZu1kh5ovJhkrLfLQCCQoxHwYJusV89euMPWK/rgs8qxiQpcrYifndu3cDAI499tiuvtWrV2PNmjXYs2fPAt/V5JO6J8voWPubXNa4rfdTn3hr6EoGkxBNPLoMck0jdm2B7BPMiR2P7YnblmI+gsYeq7Z3J+tTVcLc9kdGtl+VCR0oi2EFIBHjOyF+MR0B7Yq/uAIQB+k5FICD6fHaXNfcl0lrnt1TKmpDhFnCKGOUkLGIadxhWHpZbfEkZAtTeTlXLXKX4Oyhw3Ps8mP2PYSO/jpu3eZfxCd4jZj3XVfi+ldyjYnFg3sTkia9l+Es3owLJ2Q8aGyiwyQD7POrwZ0PY17s1Q0hsD0A5AntsoD2cY7tXJQ77tAOFSg6ijh/HaFc3698zLRuAYiK6+gV4ppZLgGV3XfQ6xvTmkwYBB12bXvPpQ+JnUPQ5hHSPFpYj5T5tvndD16ADl8U99ztcdBtmS8mCWI1jURPI/2FyyoCZBNN9QV4lF3X7wGgPX2Divwm8hQ0McFg5xsY9JxBUCxm3+7XiBCmyTPqnxcAwy4GZ+zE/NzcHABg1apVzv7Z2Vn84z/+o/f4NWvWjOS+Fus6ZGlyymLfACGEEEIIIaRvxkkHTm4mL0IIIYQQQgghZJkydmJ+dnYWALB//35n/9zcnNdqTwghhBBCCCGELAfGTsybknOuuPh9+/bhhRdecMbTE0IIIYQQQgghy4WxE/Onn346AOB73/teV9+9994LAHjDG96woPdECCGEEEIIIYSME2Mn5t/4xjfiVa96Ff7mb/4Gu3btytvn5ubwxS9+Ea1WC+95z3sW8Q4JIYQQQgghhJDFJdBaj13FoB07dmDz5s2YmprCO9/5TszOzuKuu+7Ck08+iY997GO49NJLF/sWCSGEEEIIIYSQRWMsxTwA/PCHP8TVV1+NRx55BJ1OB+vXr8dFF12EjRs3juRaW7du7brWu971rtrnUErhpptuwl/+5V9iz549mJmZwRlnnIGPf/zjeR4AQhaCYd/PDzzwAL7zne9g586d2Lt3L+bn57F27Vq87W1vwyWXXIKXvexlI34FhKQ08d0s6XQ6eO9734vHHnsMxx13HP72b/+24TsmxE9T7+e5uTl87Wtfw1133YUnnngCU1NTeNWrXoW3ve1t2LJly4junpCCJt7Lv/zlL/EXf/EX+M53voMnn3wS09PTeOUrX4n3vOc92LRpE1asWDHCV0BIyu23344HH3wQjz76KH7yk5+g0+ng85//PM4///y+zrOYOnBsxfxCcd999+FDH/oQpqamcO6552LVqlW5F8DHP/5xfPjDH651nv/4H/8jvvGNb2D9+vV4y1vegueeew7f+ta3sGLFCtxyyy1Yv379iF8JIc28nzds2IAXXngBr3/963HSSSchCALs3LkT//t//28cc8wxuOWWW/Dyl798AV4NWc409d0s+fM//3Ncf/31mJ+fp5gnC0pT7+df/OIXuOiii/DEE0/gTW96E0466SS02208/vjj+MUvfoFvfvObI34lZLnTxHv5l7/8Jc4//3w88cQTeP3rX4/Xvva1aLfbuPvuu/H444/jzDPPxF/8xV8gDMcuGpgsMd761rdi7969WLNmDWZmZrB3796BxPyi6kC9jOl0Ovrss8/Wv/qrv6p/9KMf5e379+/X5557rn71q1+tf/7zn/c8zw9+8AN9wgkn6N/5nd/Rhw4dytu///3v6xNPPFH/7u/+7ihun5ASTb2fr7vuOv3000+X2pRS+j/9p/+kTzjhBP2f//N/bvrWCSnR1HtZ8uijj+pXv/rV+r/+1/+qTzjhBH3OOec0fNeEuGnq/RzHsf6t3/otffLJJ+sf/OAHzusQMkqaei9/5Stf0SeccIL+oz/6o1L7oUOH9G/91m/pE044Qe/cubPp2yeki3vvvVc/+eSTWuv0+feEE07Qf/VXf9XXORZbBy7rKa8dO3bg8ccfxzvf+U68+tWvzttnZ2fxkY98BHEcY/v27T3Pc+uttwIAPvaxj2F6ejpvf+Mb34izzjoL999/P37+8583/wIIETT1fv793/99HH300aW2IAjwkY98BABw//33N3vjhFg09V42tNtt/Lt/9+/w2te+Fh/4wAdGccuEeGnq/fztb38b/+t//S988IMfxJlnntnV32q1Gr1vQmyaei8/8cQTAIC3vOUtpfbp6Wls2LABAPDcc881eOeEuHnTm96EtWvXDnWOxdaBy1rM79y5EwBw1llndfWZLxMzpor77rsPMzMzOPXUU7v6zLkpgMioaer97MM8KEZRNPA5CKlD0+/la665Bnv27MHnPvc5BEHQzE0SUpOm3s/f+ta3AADveMc78NRTT+Hmm2/GV77yFdx555146aWXGrxjQtw09V4+/vjjAQD33HNPqb3T6eD73/8+DjvsMJxyyinD3i4hC8Ji68BlPY27e/duAMCxxx7b1bd69WqsWbMGe/bsqTzH/Pw8nn32WZxwwglOkWOSHphrETIqmng/V/FXf/VXAIofbEJGRZPv5R/+8IfYtm0bPv7xj+O4445r8jYJqUVT7+dHH30UAPDggw/i85//PNrtdt53xBFH4KqrrsIZZ5zRzE0T4qCp9/KmTZtw++2342tf+xoeffRR/Oqv/io6nQ7uuece7Nu3D1/4whfwT/7JP2n69glpnHHQgcvaMj83NwcAWLVqlbN/dnYW+/fvrzyH6Z+dnfWeQ16LkFHRxPvZx65du3Dttdfi5S9/OTZv3jzwPRJSh6bey+12G5/61Kdw0kkn4YMf/GCj90hIXZp6Pxu3489+9rO46KKL8A//8A/4wdWUhusAAAYDSURBVA9+gCuuuAL79+/HZZddhmeeeaa5GyfEoqn38mGHHYYbb7wRGzduxM6dO/G1r30NN954Y+7C77JwEjKOjIMOXNZinhDSmyeeeAKXXHIJkiTBn/3Zn+GII45Y7FsipBZXXXUV9uzZgz/6oz9ieAiZeHRWfOhf/st/iU984hP4p//0n+KII47AhRdeiIsvvhj79+/Hbbfdtsh3SUhvnn/+efzrf/2v8T//5//EV77yFTzwwAO499578elPfxrbt2/HBRdcgH379i32bRIyESxrMW9mS3yziHNzc97ZR4Pp9824mHbfjA0hTdHE+9lm7969uOiii/D888/j6quvdiZdIqRpmngv/+hHP8L111+PD3/4wzjxxBMbv0dC6tLUd7M5z1vf+tauvl//9V8HULjiEzIKmnov//Ef/zEefvhhXH311XjLW96CVatW4cgjj8QFF1yAT37yk3jiiSdwww03NHrvhIyCcdCBy1rMmzgGV3zPvn378MILLzjjgiQzMzM46qij8OSTTyJJkq5+EyNhrkXIqGji/Sx58sknceGFF+KZZ57BVVddlT8sEjJqmngv//jHP0aSJNi6dStOPPHE0gIAP//5z3HiiSfitNNOa/z+CZE09d1scj687GUv6+ozbYcOHRriTgmppqn38j/8wz/g8MMPxz//5/+8q88YDX70ox8Nd7OELADjoAOXtZg//fTTAQDf+973uvruvfdeAMAb3vCGnud5wxvegPn5eTz00ENdfebc5lqEjIqm3s9AKuR/7/d+D8888wyuvPJKnH322c3dKCE9aOK9vG7dOrz3ve91LkA6m/7e974X5513XrM3T4hFU9/NRuT87Gc/6+ozbcOWWCKkiqbey+12G3Nzc6Ukjobnn38eAEolvggZZxZbBy5rMf/GN74Rr3rVq/A3f/M32LVrV94+NzeHL37xi2i1WnjPe96Ttz///PP4P//n/+RfNIYLLrgAQBqfKb+YfvCDH+B73/seTj/9dGZRJiOnqfezEfJPP/00/uzP/gy/8Ru/sWCvgRCgmffyqaeeis997nPOBQCOPPJIfO5zn8MVV1yxcC+MLEua+m4+//zzMT09jf/23/4bnn766dJ5rrvuOgDAv/pX/2rEr4YsZ5p6L5966qmI4xhf/OIXS+3tdjtvY2UGMm6Mqw4MtMmoskzZsWMHNm/ejKmpKbzzne/E7Ows7rrrLjz55JP42Mc+hksvvTQfu3XrVlxzzTXYsmULPvrRj5bOc8UVV+DWW2/F+vXr8Za3vAXPPfccvvWtb2HFihW45ZZbsH79+oV+aWQZ0sT7+a1vfSv27t2L173udc5asgC63v+ENE1T380uTjzxRBx33HH427/921G+BEJymno/33jjjfjsZz+Lww8/HL/xG7+B6elp/P3f/z327t2L3/7t38Yf/uEfLvRLI8uMJt7Lu3btwu/+7u/ipZdewsknn4xTTz0Vhw4dwve+9z088cQTeM1rXoObb74ZK1asWIyXSJYRt956Kx588EEAwE9+8hP86Ec/wqmnnpqHi5x99tm5d+q46sBlXWceSN3WbrrpJlx99dW488470el0sH79evybf/NvsHHjxtrn+cM//EOceOKJ+Mu//EvceOONmJmZwa//+q+ztjFZUJp4P+/duxcA8Mgjj+CRRx5xjqGYJ6Omqe9mQsaBpt7PF154IdauXYuvfvWruOOOO5AkCdavX48Pf/jDuXWIkFHSxHv5pJNOwvbt23Hddddhx44d+PrXv44oinDMMcfgox/9KD70oQ9RyJMF4cEHH8Rf//Vfl9oeeuih3GV+7dq1tUJNF1MHLnvLPCGEEEIIIYQQMmks65h5QgghhBBCCCFkEqGYJ4QQQgghhBBCJgyKeUIIIYQQQgghZMKgmCeEEEIIIYQQQiYMinlCCCGEEEIIIWTCoJgnhBBCCCGEEEImDIp5QgghhBBCCCFkwqCYJ4QQQgghhBBCJgyKeUIIIYQQQgghZMKgmCeEEEIIIYQQQiYMinlCCCGEEEIIIWTCoJgnhBBCCCGEEEImjP8P0rhX3WqQm8gAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3827,7 +4257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 38,
    "metadata": {
     "tags": [
      "hide-output"
@@ -3841,7 +4271,7 @@
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std]\n",
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 26 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 25 seconds.\n",
       "Sampling: [beta_std, t_pred]\n",
       "Sampling: [t_pred]\n"
      ]
@@ -3849,10 +4279,10 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x286ef6cf0>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x175ec1010>"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3896,7 +4326,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -3933,7 +4363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 40,
    "metadata": {
     "tags": [
      "hide-output"
@@ -3950,7 +4380,7 @@
       "NUTS: [beta_std, beta_ps, a_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n",
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 39 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 38 seconds.\n"
      ]
     }
    ],
@@ -3974,7 +4404,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -4244,7 +4674,7 @@
        "beta_[trt]              53554.0   29936.0    1.0  "
       ]
      },
-     "execution_count": 39,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4255,7 +4685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -4312,14 +4742,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: Fri Jul 18 2025\n",
+      "Last updated: Sat Jul 19 2025\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.13.5\n",
@@ -4328,13 +4758,14 @@
       "pytensor: 2.31.7\n",
       "xarray  : 2025.7.0\n",
       "\n",
-      "patsy     : 1.0.1\n",
-      "pymc      : 5.23.0\n",
-      "numpy     : 2.3.1\n",
-      "causalpy  : 0.4.2\n",
-      "pandas    : 2.3.1\n",
-      "matplotlib: 3.10.3\n",
-      "arviz     : 0.21.0\n",
+      "numpy      : 2.3.1\n",
+      "matplotlib : 3.10.3\n",
+      "causalpy   : 0.4.2\n",
+      "pandas     : 2.3.1\n",
+      "arviz      : 0.21.0\n",
+      "statsmodels: 0.14.5\n",
+      "pymc       : 5.23.0\n",
+      "patsy      : 1.0.1\n",
       "\n",
       "Watermark: 2.5.0\n",
       "\n"

From 548d7235cfd4e5516f46264bdf1727157803d554 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sat, 19 Jul 2025 08:46:36 +0100
Subject: [PATCH 28/31] allow priors on propensity score parameters

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/pymc_models.py                     |   16 +-
 docs/source/notebooks/inv_prop_latent.ipynb | 1585 ++++++++++---------
 2 files changed, 833 insertions(+), 768 deletions(-)

diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index e0d89762..2e34b1db 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -611,7 +611,12 @@ def fit_outcome_model(
         X_outcome,
         y,
         coords,
-        priors={"b_outcome": [0, 1], "a_outcome": [0, 1], "sigma": 1},
+        priors={
+            "b_outcome": [0, 1],
+            "a_outcome": [0, 1],
+            "sigma": 1,
+            "beta_ps": [0, 1],
+        },
         noncentred=True,
         normal_outcome=True,
         spline_component=False,
@@ -702,7 +707,7 @@ class initialisation.
                     dims="outcome_coeffs",
                 )
 
-            beta_ps = pm.Normal("beta_ps", 0, 1)
+            beta_ps = pm.Normal("beta_ps", priors["beta_ps"][0], priors["beta_ps"][1])
 
             chosen = np.random.choice(range(propensity_scores.shape[1]))
             p = propensity_scores[:, chosen].values
@@ -714,7 +719,12 @@ class initialisation.
             mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + beta_ps * p
 
             if spline_component:
-                beta_ps_spline = pm.Normal("beta_ps_spline", 0, 1, size=34)
+                beta_ps_spline = pm.Normal(
+                    "beta_ps_spline",
+                    priors["beta_ps"][0],
+                    priors["beta_ps"][1],
+                    size=34,
+                )
                 B = dmatrix(
                     "bs(ps, knots=knots, degree=3, include_intercept=True, lower_bound=0, upper_bound=1) - 1",
                     {"ps": p, "knots": np.linspace(0, 1, 30)},
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 59556815..e44d2d98 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -217,7 +217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -275,7 +275,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"122\" y=\"-387.74\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- p -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node7\" class=\"node\">\n",
        "<title>p</title>\n",
        "<polygon fill=\"none\" stroke=\"black\" points=\"274.12,-320.73 183.88,-320.73 183.88,-263.23 274.12,-263.23 274.12,-320.73\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"229\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">p</text>\n",
@@ -283,7 +283,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"229\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M137.57,-380.29C144.12,-369.66 152.25,-357.77 161,-348.04 167.2,-341.14 174.32,-334.4 181.56,-328.13\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"183.48,-331.08 188.91,-321.98 178.99,-325.72 183.48,-331.08\"/>\n",
@@ -297,7 +297,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"389\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node3\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
        "<title>like</title>\n",
        "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"284\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"284\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
@@ -305,47 +305,21 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"284\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
        "</g>\n",
        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge10\" class=\"edge\">\n",
+       "<g id=\"edge12\" class=\"edge\">\n",
        "<title>X_outcome&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M365.23,-262.8C356.48,-252.59 346.4,-241.04 337,-230.73 331.59,-224.79 325.78,-218.59 320.06,-212.57\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"322.85,-210.42 313.4,-205.62 317.79,-215.27 322.85,-210.42\"/>\n",
        "</g>\n",
-       "<!-- Y -->\n",
-       "<g id=\"node5\" class=\"node\">\n",
-       "<title>Y</title>\n",
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-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"284\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
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-       "<title>like&#45;&gt;Y</title>\n",
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        "<!-- t_pred -->\n",
-       "<g id=\"node6\" class=\"node\">\n",
+       "<g id=\"node3\" class=\"node\">\n",
        "<title>t_pred</title>\n",
        "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"178\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
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        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"178\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
        "</g>\n",
-       "<!-- p&#45;&gt;t_pred -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
-       "<title>p&#45;&gt;t_pred</title>\n",
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-       "<polygon fill=\"black\" stroke=\"black\" points=\"202.44,-222.27 195.2,-214.54 196.04,-225.1 202.44,-222.27\"/>\n",
-       "</g>\n",
        "<!-- T -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
+       "<g id=\"node5\" class=\"node\">\n",
        "<title>T</title>\n",
        "<path fill=\"lightgrey\" stroke=\"black\" d=\"M193,-98C193,-98 163,-98 163,-98 157,-98 151,-92 151,-86 151,-86 151,-52.5 151,-52.5 151,-46.5 157,-40.5 163,-40.5 163,-40.5 193,-40.5 193,-40.5 199,-40.5 205,-46.5 205,-52.5 205,-52.5 205,-86 205,-86 205,-92 199,-98 193,-98\"/>\n",
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@@ -358,62 +332,88 @@
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        "</g>\n",
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-       "<g id=\"node8\" class=\"node\">\n",
-       "<title>beta_trt_</title>\n",
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-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"229\" y=\"-387.74\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "<!-- Y -->\n",
+       "<g id=\"node6\" class=\"node\">\n",
+       "<title>Y</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M299,-98C299,-98 269,-98 269,-98 263,-98 257,-92 257,-86 257,-86 257,-52.5 257,-52.5 257,-46.5 263,-40.5 269,-40.5 269,-40.5 299,-40.5 299,-40.5 305,-40.5 311,-46.5 311,-52.5 311,-52.5 311,-86 311,-86 311,-92 305,-98 299,-98\"/>\n",
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+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"284\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
-       "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
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+       "<g id=\"edge2\" class=\"edge\">\n",
+       "<title>like&#45;&gt;Y</title>\n",
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+       "<!-- p&#45;&gt;t_pred -->\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
+       "<title>p&#45;&gt;t_pred</title>\n",
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+       "<g id=\"edge14\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
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+       "<g id=\"node9\" class=\"node\">\n",
+       "<title>beta_trt_</title>\n",
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-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"538\" y=\"-387.74\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "<!-- beta_trt_&#45;&gt;p -->\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
+       "<title>beta_trt_&#45;&gt;p</title>\n",
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+       "<g id=\"edge9\" class=\"edge\">\n",
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        "<title>beta_std&#45;&gt;beta_</title>\n",
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@@ -442,22 +442,8 @@
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@@ -465,19 +451,33 @@
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        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge14\" class=\"edge\">\n",
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+       "<!-- alpha_trt&#45;&gt;p -->\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
+       "<title>alpha_trt&#45;&gt;p</title>\n",
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@@ -508,6 +508,7 @@
     "        \"alpha_trt\": [0, 1],\n",
     "        \"alpha_outcome\": [0, 1],\n",
     "        \"sigma\": 1,\n",
+    "        \"beta_ps\": [0, 1],\n",
     "    },\n",
     "    noncentred=True,\n",
     "    normal_outcome=True,\n",
@@ -544,7 +545,7 @@
     "                \"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\"\n",
     "            )\n",
     "\n",
-    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1)\n",
+    "        beta_ps = pm.Normal(\"beta_ps\", priors[\"beta_ps\"][0], priors[\"beta_ps\"][1])\n",
     "\n",
     "        alpha_trt = pm.Normal(\n",
     "            \"alpha_trt\", priors[\"alpha_trt\"][0], priors[\"alpha_trt\"][1]\n",
@@ -600,7 +601,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
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@@ -648,7 +649,7 @@
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+       "<g id=\"node3\" class=\"node\">\n",
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+       "<!-- p&#45;&gt;t_pred -->\n",
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@@ -726,7 +727,7 @@
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@@ -735,10 +736,10 @@
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       ],
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@@ -797,6 +798,7 @@
     "        \"alpha_trt\": [0, 1],\n",
     "        \"alpha_outcome\": [0, 1],\n",
     "        \"sigma\": 1,\n",
+    "        \"beta_ps\": [0, 1],\n",
     "    },\n",
     "    noncentred=True,\n",
     "    spline_component=False,\n",
@@ -819,7 +821,7 @@
     "                \"beta_\", priors[\"beta_\"][0], priors[\"beta_\"][1], dims=\"betas\"\n",
     "            )\n",
     "\n",
-    "        beta_ps = pm.Normal(\"beta_ps\", 0, 1)\n",
+    "        beta_ps = pm.Normal(\"beta_ps\", priors[\"beta_ps\"][0], priors[\"beta_ps\"][1])\n",
     "\n",
     "        chosen = np.random.choice(range(propensity_scores.shape[1]))\n",
     "        p = propensity_scores[:, chosen].values\n",
@@ -830,7 +832,9 @@
     "        mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + beta_ps * p\n",
     "\n",
     "        if spline_component:\n",
-    "            beta_ps_spline = pm.Normal(\"beta_ps_spline\", 0, 1, size=14)\n",
+    "            beta_ps_spline = pm.Normal(\n",
+    "                \"beta_ps_spline\", priors[\"beta_ps\"][0], priors[\"beta_ps\"][1], size=14\n",
+    "            )\n",
     "            B = dmatrix(\n",
     "                \"bs(ps, knots=knots, degree=3, include_intercept=True, lower_bound=0, upper_bound=1) - 1\",\n",
     "                {\"ps\": p, \"knots\": np.linspace(0, 1, 10)},\n",
@@ -903,7 +907,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -972,7 +976,7 @@
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-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {
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@@ -993,7 +997,7 @@
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      "data": {
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-       "model_id": "984019c7696e43889e4f33095d224c98",
+       "model_id": "2c9f06e1b7ce43bd8ccbfb5ce0cf1ae7",
        "version_major": 2,
        "version_minor": 0
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@@ -1026,7 +1030,7 @@
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      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 75 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 77 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -1038,7 +1042,7 @@
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@@ -1063,7 +1067,7 @@
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      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 17 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 19 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
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@@ -1073,7 +1077,7 @@
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-       "model_id": "ef1d4843a01a413b8972985c072fa153",
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@@ -1084,6 +1088,14 @@
      "metadata": {},
      "output_type": "display_data"
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+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
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@@ -1156,6 +1168,22 @@
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+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
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+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
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+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
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@@ -1215,6 +1259,7 @@
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     "    \"alpha_outcome\": [0, 1],\n",
     "    \"sigma\": 1,\n",
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     "}\n",
     "\n",
     "joint_model = make_joint_model(X_trt, X_outcome, T_data, Y_data, coords, priors=priors)\n",
@@ -1245,12 +1290,12 @@
   },
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-   "execution_count": 8,
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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1279,7 +1324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {
     "tags": [
      "hide-input"
@@ -1319,133 +1364,133 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>0.000</td>\n",
+       "      <td>0.001</td>\n",
        "      <td>0.021</td>\n",
-       "      <td>-0.039</td>\n",
-       "      <td>0.041</td>\n",
+       "      <td>-0.041</td>\n",
+       "      <td>0.039</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
        "      <td>2.308</td>\n",
-       "      <td>0.057</td>\n",
-       "      <td>2.201</td>\n",
-       "      <td>2.415</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>2.199</td>\n",
+       "      <td>2.420</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.290</td>\n",
+       "      <td>1.292</td>\n",
        "      <td>0.070</td>\n",
-       "      <td>1.155</td>\n",
-       "      <td>1.416</td>\n",
+       "      <td>1.159</td>\n",
+       "      <td>1.419</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-15.286</td>\n",
-       "      <td>0.289</td>\n",
-       "      <td>-15.824</td>\n",
-       "      <td>-14.746</td>\n",
+       "      <td>-15.297</td>\n",
+       "      <td>0.296</td>\n",
+       "      <td>-15.865</td>\n",
+       "      <td>-14.754</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.505</td>\n",
-       "      <td>0.160</td>\n",
-       "      <td>8.219</td>\n",
-       "      <td>8.811</td>\n",
+       "      <td>8.512</td>\n",
+       "      <td>0.162</td>\n",
+       "      <td>8.217</td>\n",
+       "      <td>8.826</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.931</td>\n",
-       "      <td>0.186</td>\n",
-       "      <td>1.569</td>\n",
-       "      <td>2.265</td>\n",
+       "      <td>1.854</td>\n",
+       "      <td>0.187</td>\n",
+       "      <td>1.510</td>\n",
+       "      <td>2.209</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.143</td>\n",
+       "      <td>1.135</td>\n",
        "      <td>0.041</td>\n",
-       "      <td>1.068</td>\n",
-       "      <td>1.217</td>\n",
+       "      <td>1.051</td>\n",
+       "      <td>1.208</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.042</td>\n",
+       "      <td>3.034</td>\n",
        "      <td>0.061</td>\n",
-       "      <td>2.928</td>\n",
-       "      <td>3.154</td>\n",
+       "      <td>2.919</td>\n",
+       "      <td>3.146</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-3.995</td>\n",
+       "      <td>-3.914</td>\n",
        "      <td>0.207</td>\n",
-       "      <td>-4.385</td>\n",
-       "      <td>-3.607</td>\n",
+       "      <td>-4.301</td>\n",
+       "      <td>-3.527</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model_spline</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.828</td>\n",
-       "      <td>0.177</td>\n",
-       "      <td>1.506</td>\n",
-       "      <td>2.168</td>\n",
+       "      <td>1.728</td>\n",
+       "      <td>0.180</td>\n",
+       "      <td>1.390</td>\n",
+       "      <td>2.061</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.171</td>\n",
-       "      <td>0.039</td>\n",
-       "      <td>1.100</td>\n",
-       "      <td>1.247</td>\n",
+       "      <td>1.162</td>\n",
+       "      <td>0.040</td>\n",
+       "      <td>1.089</td>\n",
+       "      <td>1.238</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>0.981</td>\n",
-       "      <td>0.297</td>\n",
-       "      <td>0.437</td>\n",
-       "      <td>1.556</td>\n",
+       "      <td>1.070</td>\n",
+       "      <td>0.293</td>\n",
+       "      <td>0.530</td>\n",
+       "      <td>1.632</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.011</td>\n",
-       "      <td>1.015</td>\n",
-       "      <td>-1.920</td>\n",
-       "      <td>1.878</td>\n",
+       "      <td>0.026</td>\n",
+       "      <td>0.984</td>\n",
+       "      <td>-1.858</td>\n",
+       "      <td>1.793</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-1.308</td>\n",
-       "      <td>0.085</td>\n",
-       "      <td>-1.464</td>\n",
-       "      <td>-1.142</td>\n",
+       "      <td>-1.307</td>\n",
+       "      <td>0.088</td>\n",
+       "      <td>-1.470</td>\n",
+       "      <td>-1.143</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.107</td>\n",
-       "      <td>0.044</td>\n",
-       "      <td>1.025</td>\n",
-       "      <td>1.188</td>\n",
+       "      <td>1.106</td>\n",
+       "      <td>0.043</td>\n",
+       "      <td>1.024</td>\n",
+       "      <td>1.184</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
        "      <td>2.665</td>\n",
-       "      <td>0.060</td>\n",
-       "      <td>2.547</td>\n",
-       "      <td>2.776</td>\n",
+       "      <td>0.062</td>\n",
+       "      <td>2.545</td>\n",
+       "      <td>2.779</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1454,25 +1499,25 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model        alpha_trt       0.000  0.021  -0.039    0.041    1.0\n",
-       "                     beta_[trt]      2.308  0.057   2.201    2.415    1.0\n",
-       "                     beta_[x1]       1.290  0.070   1.155    1.416    1.0\n",
-       "                     beta_ps       -15.286  0.289 -15.824  -14.746    1.0\n",
-       "                     alpha_outcome   8.505  0.160   8.219    8.811    1.0\n",
-       "2-stage-model        beta_[trt]      1.931  0.186   1.569    2.265    1.0\n",
-       "                     beta_[x1]       1.143  0.041   1.068    1.217    1.0\n",
-       "                     alpha_outcome   3.042  0.061   2.928    3.154    1.0\n",
-       "                     beta_ps        -3.995  0.207  -4.385   -3.607    1.0\n",
-       "2-stage-model_spline beta_[trt]      1.828  0.177   1.506    2.168    1.0\n",
-       "                     beta_[x1]       1.171  0.039   1.100    1.247    1.0\n",
-       "                     alpha_outcome   0.981  0.297   0.437    1.556    1.0\n",
-       "                     beta_ps        -0.011  1.015  -1.920    1.878    1.0\n",
-       "Simple Regression    beta_[trt]     -1.308  0.085  -1.464   -1.142    1.0\n",
-       "                     beta_[x1]       1.107  0.044   1.025    1.188    1.0\n",
-       "                     alpha_outcome   2.665  0.060   2.547    2.776    1.0"
+       "1-stage-model        alpha_trt       0.001  0.021  -0.041    0.039    1.0\n",
+       "                     beta_[trt]      2.308  0.058   2.199    2.420    1.0\n",
+       "                     beta_[x1]       1.292  0.070   1.159    1.419    1.0\n",
+       "                     beta_ps       -15.297  0.296 -15.865  -14.754    1.0\n",
+       "                     alpha_outcome   8.512  0.162   8.217    8.826    1.0\n",
+       "2-stage-model        beta_[trt]      1.854  0.187   1.510    2.209    1.0\n",
+       "                     beta_[x1]       1.135  0.041   1.051    1.208    1.0\n",
+       "                     alpha_outcome   3.034  0.061   2.919    3.146    1.0\n",
+       "                     beta_ps        -3.914  0.207  -4.301   -3.527    1.0\n",
+       "2-stage-model_spline beta_[trt]      1.728  0.180   1.390    2.061    1.0\n",
+       "                     beta_[x1]       1.162  0.040   1.089    1.238    1.0\n",
+       "                     alpha_outcome   1.070  0.293   0.530    1.632    1.0\n",
+       "                     beta_ps         0.026  0.984  -1.858    1.793    1.0\n",
+       "Simple Regression    beta_[trt]     -1.307  0.088  -1.470   -1.143    1.0\n",
+       "                     beta_[x1]       1.106  0.043   1.024    1.184    1.0\n",
+       "                     alpha_outcome   2.665  0.062   2.545    2.779    1.0"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1516,7 +1561,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -1531,7 +1576,7 @@
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-       "<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-474.45 668.18,-474.45 668.18,4 -4,4\"/>\n",
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        "<g id=\"clust1\" class=\"cluster\">\n",
        "<title>clusterobs (4000) x betas (2)</title>\n",
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@@ -1561,7 +1606,7 @@
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        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node2\" class=\"node\">\n",
        "<title>like</title>\n",
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        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
        "<title>X_outcome&#45;&gt;like</title>\n",
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        "</g>\n",
        "<!-- Y -->\n",
-       "<g id=\"node2\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
        "<title>Y</title>\n",
        "<path fill=\"lightgrey\" stroke=\"black\" d=\"M232,-98C232,-98 202,-98 202,-98 196,-98 190,-92 190,-86 190,-86 190,-52.5 190,-52.5 190,-46.5 196,-40.5 202,-40.5 202,-40.5 232,-40.5 232,-40.5 238,-40.5 244,-46.5 244,-52.5 244,-52.5 244,-86 244,-86 244,-92 238,-98 232,-98\"/>\n",
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        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"217\" y=\"-64.2\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"217\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
+       "<!-- like&#45;&gt;Y -->\n",
+       "<g id=\"edge1\" class=\"edge\">\n",
+       "<title>like&#45;&gt;Y</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M217,-133.68C217,-125.83 217,-117.6 217,-109.76\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"220.5,-109.79 217,-99.79 213.5,-109.79 220.5,-109.79\"/>\n",
+       "</g>\n",
        "<!-- spline_features -->\n",
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        "<title>spline_features</title>\n",
@@ -1591,45 +1642,39 @@
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        "</g>\n",
        "<!-- spline_features&#45;&gt;like -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
        "<title>spline_features&#45;&gt;like</title>\n",
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        "<polygon fill=\"black\" stroke=\"black\" points=\"216.94,-227.06 214.14,-216.84 209.96,-226.58 216.94,-227.06\"/>\n",
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-       "<!-- like&#45;&gt;Y -->\n",
-       "<g id=\"edge1\" class=\"edge\">\n",
-       "<title>like&#45;&gt;Y</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M217,-133.68C217,-125.83 217,-117.6 217,-109.76\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"220.5,-109.79 217,-99.79 213.5,-109.79 220.5,-109.79\"/>\n",
+       "<!-- beta_ -->\n",
+       "<g id=\"node5\" class=\"node\">\n",
+       "<title>beta_</title>\n",
+       "<polygon fill=\"none\" stroke=\"black\" points=\"372.12,-320.73 281.88,-320.73 281.88,-263.23 372.12,-263.23 372.12,-320.73\"/>\n",
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+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"327\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"327\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "</g>\n",
+       "<!-- beta_&#45;&gt;like -->\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
+       "<title>beta_&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M300.37,-262.73C290.81,-252.62 279.94,-241.14 270,-230.73 264.46,-224.92 258.58,-218.78 252.82,-212.79\"/>\n",
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        "<!-- beta_std -->\n",
-       "<g id=\"node5\" class=\"node\">\n",
+       "<g id=\"node6\" class=\"node\">\n",
        "<title>beta_std</title>\n",
        "<ellipse fill=\"none\" stroke=\"black\" cx=\"327\" cy=\"-413.79\" rx=\"43.13\" ry=\"40.66\"/>\n",
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        "<!-- beta_std&#45;&gt;beta_ -->\n",
        "<g id=\"edge2\" class=\"edge\">\n",
        "<title>beta_std&#45;&gt;beta_</title>\n",
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-       "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
-       "<title>beta_&#45;&gt;like</title>\n",
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        "<!-- beta_ps -->\n",
        "<g id=\"node7\" class=\"node\">\n",
        "<title>beta_ps</title>\n",
@@ -1638,33 +1683,33 @@
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        "</g>\n",
-       "<!-- sigma -->\n",
+       "<!-- alpha_outcome -->\n",
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-       "<title>sigma</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"448\" cy=\"-291.98\" rx=\"57.98\" ry=\"40.66\"/>\n",
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-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"448\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n",
+       "<title>alpha_outcome</title>\n",
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        "</g>\n",
-       "<!-- sigma&#45;&gt;like -->\n",
+       "<!-- alpha_outcome&#45;&gt;like -->\n",
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-       "<title>sigma&#45;&gt;like</title>\n",
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-       "<!-- alpha_outcome -->\n",
+       "<!-- sigma -->\n",
        "<g id=\"node9\" class=\"node\">\n",
-       "<title>alpha_outcome</title>\n",
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-       "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
-       "<title>alpha_outcome&#45;&gt;like</title>\n",
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+       "<title>sigma&#45;&gt;like</title>\n",
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@@ -1684,10 +1729,10 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x177c066c0>"
+       "<graphviz.graphs.Digraph at 0x17f73fb60>"
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-     "execution_count": 10,
+     "execution_count": 9,
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@@ -1707,16 +1752,16 @@
   },
   {
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-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
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      "data": {
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-       "array([0.225, 0.308, 0.38 , 0.442, 0.502, 0.563, 0.624, 0.691, 0.769])"
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-     "execution_count": 11,
+     "execution_count": 10,
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@@ -1738,16 +1783,16 @@
   },
   {
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-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
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-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
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@@ -1769,12 +1814,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1825,12 +1870,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1890,7 +1935,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1910,7 +1955,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1923,7 +1968,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5ce4ff6495664a8a93f4d7bcd427edfd",
+       "model_id": "b9d09b2f6048485698eb1daa7b90e950",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1954,7 +1999,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ecb520669aab4f47a0f7a55216aba700",
+       "model_id": "df1a801c0eaa4475bbb8a1173e51a4a9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2001,16 +2046,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3.1527903705407914"
+       "3.153405140677743"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2028,16 +2073,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.8451301132778737"
+       "0.8449078709722427"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2055,16 +2100,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "2.307660257262918"
+       "2.3084972697055"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2094,7 +2139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -2228,7 +2273,7 @@
        "4         19.2          54    0       44  "
       ]
      },
-     "execution_count": 20,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2242,7 +2287,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {
     "tags": [
      "hide-output"
@@ -2263,7 +2308,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6523c405484a4fe6a46a55be35e18cdf",
+       "model_id": "3f06195e13274b21bf4353c01f810acb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2288,7 +2333,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 16 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 15 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -2300,7 +2345,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "94665fc127844239a619ab452cf1aaa1",
+       "model_id": "2df6df874c4d4f488d0384719c99aa68",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2325,7 +2370,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_std, like, nu, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -2335,7 +2380,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6d7d39e4a0404cec8eba093cb175229c",
+       "model_id": "ec13d853fed049e391eb52b563fe22c5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2360,7 +2405,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 16 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std, alpha_outcome, sigma]\n"
@@ -2369,7 +2414,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7fb89a19f1ba42f987663f34c1f6d596",
+       "model_id": "42553a3df0094a17b35fd739e81f71a3",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2380,6 +2425,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -2421,6 +2474,7 @@
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [40, 30],\n",
     "    \"sigma\": 15,\n",
+    "    \"beta_ps\": [0, 1],\n",
     "}\n",
     "net_model = make_joint_model(\n",
     "    X_trt, X_outcome, T_data, Y_data, coords, priors=priors, normal_outcome=False\n",
@@ -2442,12 +2496,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2478,7 +2532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {
     "tags": [
      "hide-input"
@@ -2518,100 +2572,100 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.260</td>\n",
+       "      <td>-0.262</td>\n",
        "      <td>0.051</td>\n",
-       "      <td>-0.346</td>\n",
-       "      <td>-0.158</td>\n",
+       "      <td>-0.357</td>\n",
+       "      <td>-0.165</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.935</td>\n",
-       "      <td>0.270</td>\n",
-       "      <td>-10.443</td>\n",
-       "      <td>-9.444</td>\n",
+       "      <td>-9.938</td>\n",
+       "      <td>0.264</td>\n",
+       "      <td>-10.434</td>\n",
+       "      <td>-9.459</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.104</td>\n",
-       "      <td>0.223</td>\n",
-       "      <td>-10.517</td>\n",
-       "      <td>-9.696</td>\n",
+       "      <td>-10.102</td>\n",
+       "      <td>0.224</td>\n",
+       "      <td>-10.523</td>\n",
+       "      <td>-9.687</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-16.203</td>\n",
-       "      <td>0.646</td>\n",
-       "      <td>-17.359</td>\n",
-       "      <td>-14.952</td>\n",
+       "      <td>-16.217</td>\n",
+       "      <td>0.633</td>\n",
+       "      <td>-17.413</td>\n",
+       "      <td>-15.063</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.590</td>\n",
-       "      <td>0.402</td>\n",
-       "      <td>45.860</td>\n",
-       "      <td>47.354</td>\n",
+       "      <td>46.587</td>\n",
+       "      <td>0.393</td>\n",
+       "      <td>45.830</td>\n",
+       "      <td>47.319</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.097</td>\n",
-       "      <td>0.323</td>\n",
-       "      <td>-10.677</td>\n",
-       "      <td>-9.469</td>\n",
+       "      <td>-10.055</td>\n",
+       "      <td>0.316</td>\n",
+       "      <td>-10.615</td>\n",
+       "      <td>-9.442</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.699</td>\n",
-       "      <td>0.192</td>\n",
-       "      <td>-11.062</td>\n",
-       "      <td>-10.341</td>\n",
+       "      <td>-10.445</td>\n",
+       "      <td>0.195</td>\n",
+       "      <td>-10.804</td>\n",
+       "      <td>-10.074</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>41.943</td>\n",
-       "      <td>0.429</td>\n",
-       "      <td>41.150</td>\n",
-       "      <td>42.754</td>\n",
+       "      <td>42.542</td>\n",
+       "      <td>0.408</td>\n",
+       "      <td>41.784</td>\n",
+       "      <td>43.304</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-6.358</td>\n",
-       "      <td>0.965</td>\n",
-       "      <td>-8.132</td>\n",
-       "      <td>-4.553</td>\n",
+       "      <td>-8.266</td>\n",
+       "      <td>0.949</td>\n",
+       "      <td>-10.094</td>\n",
+       "      <td>-6.515</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-8.541</td>\n",
-       "      <td>0.342</td>\n",
-       "      <td>-9.202</td>\n",
-       "      <td>-7.907</td>\n",
+       "      <td>-8.532</td>\n",
+       "      <td>0.341</td>\n",
+       "      <td>-9.156</td>\n",
+       "      <td>-7.884</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-11.513</td>\n",
-       "      <td>0.165</td>\n",
-       "      <td>-11.828</td>\n",
-       "      <td>-11.204</td>\n",
+       "      <td>-11.517</td>\n",
+       "      <td>0.168</td>\n",
+       "      <td>-11.838</td>\n",
+       "      <td>-11.205</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>37.838</td>\n",
-       "      <td>0.218</td>\n",
-       "      <td>37.413</td>\n",
-       "      <td>38.237</td>\n",
+       "      <td>37.835</td>\n",
+       "      <td>0.220</td>\n",
+       "      <td>37.401</td>\n",
+       "      <td>38.230</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2620,21 +2674,21 @@
       ],
       "text/plain": [
        "                                   mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model     alpha_trt      -0.260  0.051  -0.346   -0.158    1.0\n",
-       "                  beta_[trt]     -9.935  0.270 -10.443   -9.444    1.0\n",
-       "                  beta_[income] -10.104  0.223 -10.517   -9.696    1.0\n",
-       "                  beta_ps       -16.203  0.646 -17.359  -14.952    1.0\n",
-       "                  alpha_outcome  46.590  0.402  45.860   47.354    1.0\n",
-       "2-stage-model     beta_[trt]    -10.097  0.323 -10.677   -9.469    1.0\n",
-       "                  beta_[income] -10.699  0.192 -11.062  -10.341    1.0\n",
-       "                  alpha_outcome  41.943  0.429  41.150   42.754    1.0\n",
-       "                  beta_ps        -6.358  0.965  -8.132   -4.553    1.0\n",
-       "Simple Regression beta_[trt]     -8.541  0.342  -9.202   -7.907    1.0\n",
-       "                  beta_[income] -11.513  0.165 -11.828  -11.204    1.0\n",
-       "                  alpha_outcome  37.838  0.218  37.413   38.237    1.0"
+       "1-stage-model     alpha_trt      -0.262  0.051  -0.357   -0.165    1.0\n",
+       "                  beta_[trt]     -9.938  0.264 -10.434   -9.459    1.0\n",
+       "                  beta_[income] -10.102  0.224 -10.523   -9.687    1.0\n",
+       "                  beta_ps       -16.217  0.633 -17.413  -15.063    1.0\n",
+       "                  alpha_outcome  46.587  0.393  45.830   47.319    1.0\n",
+       "2-stage-model     beta_[trt]    -10.055  0.316 -10.615   -9.442    1.0\n",
+       "                  beta_[income] -10.445  0.195 -10.804  -10.074    1.0\n",
+       "                  alpha_outcome  42.542  0.408  41.784   43.304    1.0\n",
+       "                  beta_ps        -8.266  0.949 -10.094   -6.515    1.0\n",
+       "Simple Regression beta_[trt]     -8.532  0.341  -9.156   -7.884    1.0\n",
+       "                  beta_[income] -11.517  0.168 -11.838  -11.205    1.0\n",
+       "                  alpha_outcome  37.835  0.220  37.401   38.230    1.0"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2666,16 +2720,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.571, 0.643, 0.727])"
+       "array([0.181, 0.249, 0.31 , 0.369, 0.43 , 0.5  , 0.571, 0.642, 0.727])"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2695,16 +2749,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])"
+       "array([0.239, 0.283, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2717,12 +2771,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2753,7 +2807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -2887,7 +2941,7 @@
        "4    289.7899   False  False  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2901,7 +2955,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -2913,7 +2967,7 @@
        "Name: re78, dtype: float64"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2931,7 +2985,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {
     "tags": [
      "hide-output"
@@ -2952,7 +3006,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6cef76531bf34d18b2e7093aefb50929",
+       "model_id": "1667160282ee4fa5bf3cae9dc7aebf51",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2963,6 +3017,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -2989,7 +3051,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ef293fcfebcc468abdc048f2bcb900ec",
+       "model_id": "5c29a30fa2d54ec6ba1d63781980aae8",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3014,7 +3076,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -3024,7 +3086,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7e2ddf67b35d48b5842a68a6a031fe51",
+       "model_id": "3ec91dc18fb347d48083e729bb242dfb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3049,7 +3111,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std, alpha_outcome, sigma]\n"
@@ -3058,7 +3120,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f3c87e9e1ae74d25a7c4b19406e4c777",
+       "model_id": "16b75f79be6c4c20a7296b6b13231096",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3114,6 +3176,7 @@
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [2000, 500],\n",
     "    \"sigma\": 500,\n",
+    "    \"beta_ps\": [0, 300],\n",
     "}\n",
     "\n",
     "lalonde_model = make_joint_model(\n",
@@ -3139,12 +3202,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3168,7 +3231,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "metadata": {
     "tags": [
      "hide-input"
@@ -3208,148 +3271,148 @@
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.356</td>\n",
-       "      <td>0.134</td>\n",
-       "      <td>-1.597</td>\n",
-       "      <td>-1.102</td>\n",
+       "      <td>-1.362</td>\n",
+       "      <td>0.139</td>\n",
+       "      <td>-1.647</td>\n",
+       "      <td>-1.121</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1586.402</td>\n",
-       "      <td>572.999</td>\n",
-       "      <td>521.201</td>\n",
-       "      <td>2674.376</td>\n",
+       "      <td>1555.755</td>\n",
+       "      <td>608.882</td>\n",
+       "      <td>410.268</td>\n",
+       "      <td>2686.937</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-461.015</td>\n",
-       "      <td>505.808</td>\n",
-       "      <td>-1347.539</td>\n",
-       "      <td>528.151</td>\n",
+       "      <td>-473.860</td>\n",
+       "      <td>491.291</td>\n",
+       "      <td>-1377.276</td>\n",
+       "      <td>453.872</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3941.695</td>\n",
-       "      <td>522.534</td>\n",
-       "      <td>3009.576</td>\n",
-       "      <td>4976.167</td>\n",
+       "      <td>3946.132</td>\n",
+       "      <td>534.405</td>\n",
+       "      <td>2940.599</td>\n",
+       "      <td>4932.175</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.009</td>\n",
-       "      <td>1.025</td>\n",
-       "      <td>-1.919</td>\n",
-       "      <td>1.923</td>\n",
+       "      <td>94.621</td>\n",
+       "      <td>297.563</td>\n",
+       "      <td>-482.765</td>\n",
+       "      <td>640.929</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4319.030</td>\n",
-       "      <td>367.520</td>\n",
-       "      <td>3663.450</td>\n",
-       "      <td>5050.275</td>\n",
+       "      <td>4307.501</td>\n",
+       "      <td>371.761</td>\n",
+       "      <td>3616.463</td>\n",
+       "      <td>5011.419</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6569.484</td>\n",
-       "      <td>156.106</td>\n",
-       "      <td>6263.019</td>\n",
-       "      <td>6847.763</td>\n",
+       "      <td>6570.115</td>\n",
+       "      <td>154.662</td>\n",
+       "      <td>6274.263</td>\n",
+       "      <td>6852.699</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1590.464</td>\n",
-       "      <td>583.494</td>\n",
-       "      <td>437.170</td>\n",
-       "      <td>2635.627</td>\n",
+       "      <td>1676.217</td>\n",
+       "      <td>582.124</td>\n",
+       "      <td>619.976</td>\n",
+       "      <td>2767.567</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-457.782</td>\n",
-       "      <td>488.361</td>\n",
-       "      <td>-1388.839</td>\n",
-       "      <td>436.324</td>\n",
+       "      <td>-505.285</td>\n",
+       "      <td>492.295</td>\n",
+       "      <td>-1419.743</td>\n",
+       "      <td>436.524</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3929.357</td>\n",
-       "      <td>517.364</td>\n",
-       "      <td>2937.964</td>\n",
-       "      <td>4892.017</td>\n",
+       "      <td>3840.392</td>\n",
+       "      <td>514.250</td>\n",
+       "      <td>2861.546</td>\n",
+       "      <td>4799.462</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.997</td>\n",
-       "      <td>-1.808</td>\n",
-       "      <td>1.943</td>\n",
+       "      <td>-3.159</td>\n",
+       "      <td>297.414</td>\n",
+       "      <td>-556.995</td>\n",
+       "      <td>556.328</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4314.124</td>\n",
-       "      <td>366.073</td>\n",
-       "      <td>3620.115</td>\n",
-       "      <td>4971.707</td>\n",
+       "      <td>4237.582</td>\n",
+       "      <td>372.671</td>\n",
+       "      <td>3544.373</td>\n",
+       "      <td>4943.142</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6568.396</td>\n",
-       "      <td>147.740</td>\n",
-       "      <td>6289.457</td>\n",
-       "      <td>6842.601</td>\n",
+       "      <td>6555.481</td>\n",
+       "      <td>147.341</td>\n",
+       "      <td>6277.873</td>\n",
+       "      <td>6828.763</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1591.891</td>\n",
-       "      <td>583.106</td>\n",
-       "      <td>520.635</td>\n",
-       "      <td>2700.519</td>\n",
+       "      <td>1593.428</td>\n",
+       "      <td>571.210</td>\n",
+       "      <td>520.024</td>\n",
+       "      <td>2662.408</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-465.903</td>\n",
-       "      <td>477.975</td>\n",
-       "      <td>-1332.835</td>\n",
-       "      <td>463.114</td>\n",
+       "      <td>-453.034</td>\n",
+       "      <td>488.674</td>\n",
+       "      <td>-1370.280</td>\n",
+       "      <td>435.971</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3926.746</td>\n",
-       "      <td>512.085</td>\n",
-       "      <td>2926.036</td>\n",
-       "      <td>4874.918</td>\n",
+       "      <td>3935.052</td>\n",
+       "      <td>508.004</td>\n",
+       "      <td>2996.129</td>\n",
+       "      <td>4913.557</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4324.454</td>\n",
-       "      <td>366.428</td>\n",
-       "      <td>3627.299</td>\n",
-       "      <td>4993.995</td>\n",
+       "      <td>4314.900</td>\n",
+       "      <td>367.916</td>\n",
+       "      <td>3655.306</td>\n",
+       "      <td>5028.533</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6567.380</td>\n",
-       "      <td>154.478</td>\n",
-       "      <td>6286.521</td>\n",
-       "      <td>6863.357</td>\n",
+       "      <td>6565.633</td>\n",
+       "      <td>148.940</td>\n",
+       "      <td>6285.940</td>\n",
+       "      <td>6847.348</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3358,24 +3421,24 @@
       ],
       "text/plain": [
        "                                       mean       sd    hdi_3%   hdi_97%  \\\n",
-       "1-stage-model     alpha_trt          -1.356    0.134    -1.597    -1.102   \n",
-       "                  beta_[treat]     1586.402  572.999   521.201  2674.376   \n",
-       "                  beta_[nodegree]  -461.015  505.808 -1347.539   528.151   \n",
-       "                  beta_[married]   3941.695  522.534  3009.576  4976.167   \n",
-       "                  beta_ps             0.009    1.025    -1.919     1.923   \n",
-       "                  alpha_outcome    4319.030  367.520  3663.450  5050.275   \n",
-       "                  sigma            6569.484  156.106  6263.019  6847.763   \n",
-       "2-stage-model     beta_[treat]     1590.464  583.494   437.170  2635.627   \n",
-       "                  beta_[nodegree]  -457.782  488.361 -1388.839   436.324   \n",
-       "                  beta_[married]   3929.357  517.364  2937.964  4892.017   \n",
-       "                  beta_ps             0.003    0.997    -1.808     1.943   \n",
-       "                  alpha_outcome    4314.124  366.073  3620.115  4971.707   \n",
-       "                  sigma            6568.396  147.740  6289.457  6842.601   \n",
-       "Simple Regression beta_[treat]     1591.891  583.106   520.635  2700.519   \n",
-       "                  beta_[nodegree]  -465.903  477.975 -1332.835   463.114   \n",
-       "                  beta_[married]   3926.746  512.085  2926.036  4874.918   \n",
-       "                  alpha_outcome    4324.454  366.428  3627.299  4993.995   \n",
-       "                  sigma            6567.380  154.478  6286.521  6863.357   \n",
+       "1-stage-model     alpha_trt          -1.362    0.139    -1.647    -1.121   \n",
+       "                  beta_[treat]     1555.755  608.882   410.268  2686.937   \n",
+       "                  beta_[nodegree]  -473.860  491.291 -1377.276   453.872   \n",
+       "                  beta_[married]   3946.132  534.405  2940.599  4932.175   \n",
+       "                  beta_ps            94.621  297.563  -482.765   640.929   \n",
+       "                  alpha_outcome    4307.501  371.761  3616.463  5011.419   \n",
+       "                  sigma            6570.115  154.662  6274.263  6852.699   \n",
+       "2-stage-model     beta_[treat]     1676.217  582.124   619.976  2767.567   \n",
+       "                  beta_[nodegree]  -505.285  492.295 -1419.743   436.524   \n",
+       "                  beta_[married]   3840.392  514.250  2861.546  4799.462   \n",
+       "                  beta_ps            -3.159  297.414  -556.995   556.328   \n",
+       "                  alpha_outcome    4237.582  372.671  3544.373  4943.142   \n",
+       "                  sigma            6555.481  147.341  6277.873  6828.763   \n",
+       "Simple Regression beta_[treat]     1593.428  571.210   520.024  2662.408   \n",
+       "                  beta_[nodegree]  -453.034  488.674 -1370.280   435.971   \n",
+       "                  beta_[married]   3935.052  508.004  2996.129  4913.557   \n",
+       "                  alpha_outcome    4314.900  367.916  3655.306  5028.533   \n",
+       "                  sigma            6565.633  148.940  6285.940  6847.348   \n",
        "\n",
        "                                   r_hat  \n",
        "1-stage-model     alpha_trt          1.0  \n",
@@ -3398,7 +3461,7 @@
        "                  sigma              1.0  "
       ]
      },
-     "execution_count": 31,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3432,12 +3495,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3468,7 +3531,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -3559,7 +3622,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3571,7 +3634,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "metadata": {
     "tags": [
      "hide-output"
@@ -3592,7 +3655,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d9d7f0aa1f904a5bb9c84c30f086ea71",
+       "model_id": "420e0a771cbd40d1955707cbedc2e4d6",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3617,7 +3680,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 48 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 59 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -3629,7 +3692,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b978ef3dd9334b6a9de25afe97eb68cf",
+       "model_id": "83edb6a6f6a1498bbf69e969bdea5d01",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3664,7 +3727,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "52374270638c48d48f575cdab2e55d84",
+       "model_id": "18f0d8582b4b45a2ba7ac721ac5e5756",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3683,14 +3746,6 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -3705,7 +3760,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 30 seconds.\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std, alpha_outcome, sigma]\n"
@@ -3714,7 +3769,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "874d71d937144c8c80ea3ac745190985",
+       "model_id": "95d71e37ba4446d299c8ae88858e17f2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3747,7 +3802,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 16 seconds.\n"
      ]
     }
    ],
@@ -3824,6 +3879,7 @@
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [10, 5],\n",
     "    \"sigma\": 7,\n",
+    "    \"beta_ps\": [0, 10],\n",
     "}\n",
     "\n",
     "nhefs_model = make_joint_model(X_trt, X_outcome, T_data, Y_data, coords, priors)\n",
@@ -3848,12 +3904,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3884,7 +3940,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 35,
    "metadata": {
     "tags": [
      "hide-input"
@@ -3924,220 +3980,220 @@
        "    <tr>\n",
        "      <th rowspan=\"10\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.153</td>\n",
+       "      <td>-1.143</td>\n",
        "      <td>0.063</td>\n",
-       "      <td>-1.267</td>\n",
-       "      <td>-1.032</td>\n",
+       "      <td>-1.261</td>\n",
+       "      <td>-1.028</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.836</td>\n",
-       "      <td>0.404</td>\n",
-       "      <td>2.052</td>\n",
-       "      <td>3.554</td>\n",
+       "      <td>3.069</td>\n",
+       "      <td>0.411</td>\n",
+       "      <td>2.331</td>\n",
+       "      <td>3.883</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.234</td>\n",
-       "      <td>0.354</td>\n",
-       "      <td>-2.895</td>\n",
-       "      <td>-1.554</td>\n",
+       "      <td>-1.352</td>\n",
+       "      <td>0.558</td>\n",
+       "      <td>-2.407</td>\n",
+       "      <td>-0.325</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.570</td>\n",
-       "      <td>0.464</td>\n",
-       "      <td>-0.332</td>\n",
-       "      <td>1.403</td>\n",
+       "      <td>-0.321</td>\n",
+       "      <td>0.613</td>\n",
+       "      <td>-1.505</td>\n",
+       "      <td>0.799</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.493</td>\n",
-       "      <td>0.349</td>\n",
-       "      <td>-0.157</td>\n",
-       "      <td>1.150</td>\n",
+       "      <td>0.104</td>\n",
+       "      <td>0.429</td>\n",
+       "      <td>-0.706</td>\n",
+       "      <td>0.908</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>0.016</td>\n",
-       "      <td>0.624</td>\n",
-       "      <td>-1.124</td>\n",
-       "      <td>1.203</td>\n",
+       "      <td>0.066</td>\n",
+       "      <td>0.647</td>\n",
+       "      <td>-1.131</td>\n",
+       "      <td>1.280</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-1.261</td>\n",
-       "      <td>0.624</td>\n",
-       "      <td>-2.438</td>\n",
-       "      <td>-0.091</td>\n",
+       "      <td>-0.975</td>\n",
+       "      <td>0.667</td>\n",
+       "      <td>-2.271</td>\n",
+       "      <td>0.232</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>-0.278</td>\n",
-       "      <td>0.457</td>\n",
-       "      <td>-1.128</td>\n",
-       "      <td>0.595</td>\n",
+       "      <td>0.265</td>\n",
+       "      <td>0.534</td>\n",
+       "      <td>-0.733</td>\n",
+       "      <td>1.286</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.057</td>\n",
-       "      <td>0.330</td>\n",
-       "      <td>1.452</td>\n",
-       "      <td>2.690</td>\n",
+       "      <td>4.722</td>\n",
+       "      <td>1.203</td>\n",
+       "      <td>2.514</td>\n",
+       "      <td>7.006</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.527</td>\n",
-       "      <td>0.997</td>\n",
-       "      <td>-2.399</td>\n",
-       "      <td>1.328</td>\n",
+       "      <td>-11.172</td>\n",
+       "      <td>4.698</td>\n",
+       "      <td>-20.527</td>\n",
+       "      <td>-2.890</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"9\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.857</td>\n",
-       "      <td>0.403</td>\n",
-       "      <td>2.082</td>\n",
-       "      <td>3.587</td>\n",
+       "      <td>2.946</td>\n",
+       "      <td>0.409</td>\n",
+       "      <td>2.170</td>\n",
+       "      <td>3.702</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.184</td>\n",
-       "      <td>0.355</td>\n",
-       "      <td>-2.843</td>\n",
-       "      <td>-1.524</td>\n",
+       "      <td>-1.715</td>\n",
+       "      <td>0.413</td>\n",
+       "      <td>-2.431</td>\n",
+       "      <td>-0.864</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.524</td>\n",
-       "      <td>0.469</td>\n",
-       "      <td>-0.376</td>\n",
-       "      <td>1.383</td>\n",
+       "      <td>0.181</td>\n",
+       "      <td>0.489</td>\n",
+       "      <td>-0.743</td>\n",
+       "      <td>1.081</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.478</td>\n",
-       "      <td>0.345</td>\n",
-       "      <td>-0.156</td>\n",
-       "      <td>1.124</td>\n",
+       "      <td>0.163</td>\n",
+       "      <td>0.371</td>\n",
+       "      <td>-0.536</td>\n",
+       "      <td>0.866</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>0.059</td>\n",
-       "      <td>0.630</td>\n",
-       "      <td>-1.131</td>\n",
-       "      <td>1.246</td>\n",
+       "      <td>0.045</td>\n",
+       "      <td>0.627</td>\n",
+       "      <td>-1.112</td>\n",
+       "      <td>1.227</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-1.261</td>\n",
+       "      <td>-1.181</td>\n",
        "      <td>0.629</td>\n",
-       "      <td>-2.452</td>\n",
-       "      <td>-0.081</td>\n",
+       "      <td>-2.379</td>\n",
+       "      <td>-0.028</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>-0.242</td>\n",
-       "      <td>0.464</td>\n",
-       "      <td>-1.121</td>\n",
-       "      <td>0.641</td>\n",
+       "      <td>-0.013</td>\n",
+       "      <td>0.468</td>\n",
+       "      <td>-0.904</td>\n",
+       "      <td>0.857</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.918</td>\n",
-       "      <td>0.506</td>\n",
-       "      <td>0.957</td>\n",
-       "      <td>2.856</td>\n",
+       "      <td>2.836</td>\n",
+       "      <td>2.760</td>\n",
+       "      <td>-2.286</td>\n",
+       "      <td>7.914</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.001</td>\n",
-       "      <td>0.997</td>\n",
-       "      <td>-1.871</td>\n",
-       "      <td>1.901</td>\n",
+       "      <td>-0.047</td>\n",
+       "      <td>10.037</td>\n",
+       "      <td>-19.449</td>\n",
+       "      <td>17.857</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"8\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[trt]</th>\n",
        "      <td>2.820</td>\n",
-       "      <td>0.403</td>\n",
-       "      <td>2.066</td>\n",
-       "      <td>3.559</td>\n",
+       "      <td>0.395</td>\n",
+       "      <td>2.092</td>\n",
+       "      <td>3.599</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.276</td>\n",
-       "      <td>0.344</td>\n",
-       "      <td>-2.911</td>\n",
-       "      <td>-1.626</td>\n",
+       "      <td>-2.267</td>\n",
+       "      <td>0.346</td>\n",
+       "      <td>-2.896</td>\n",
+       "      <td>-1.614</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.628</td>\n",
-       "      <td>0.465</td>\n",
-       "      <td>-0.221</td>\n",
-       "      <td>1.507</td>\n",
+       "      <td>0.626</td>\n",
+       "      <td>0.461</td>\n",
+       "      <td>-0.238</td>\n",
+       "      <td>1.491</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.509</td>\n",
-       "      <td>0.343</td>\n",
-       "      <td>-0.155</td>\n",
-       "      <td>1.132</td>\n",
+       "      <td>0.499</td>\n",
+       "      <td>0.344</td>\n",
+       "      <td>-0.118</td>\n",
+       "      <td>1.164</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>0.016</td>\n",
-       "      <td>0.615</td>\n",
-       "      <td>-1.078</td>\n",
-       "      <td>1.206</td>\n",
+       "      <td>0.021</td>\n",
+       "      <td>0.612</td>\n",
+       "      <td>-1.104</td>\n",
+       "      <td>1.184</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-1.277</td>\n",
-       "      <td>0.617</td>\n",
-       "      <td>-2.491</td>\n",
-       "      <td>-0.183</td>\n",
+       "      <td>-1.282</td>\n",
+       "      <td>0.612</td>\n",
+       "      <td>-2.456</td>\n",
+       "      <td>-0.148</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>-0.323</td>\n",
-       "      <td>0.463</td>\n",
-       "      <td>-1.188</td>\n",
-       "      <td>0.548</td>\n",
+       "      <td>-0.318</td>\n",
+       "      <td>0.458</td>\n",
+       "      <td>-1.149</td>\n",
+       "      <td>0.581</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.926</td>\n",
-       "      <td>0.217</td>\n",
-       "      <td>1.497</td>\n",
-       "      <td>2.315</td>\n",
+       "      <td>1.924</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>1.518</td>\n",
+       "      <td>2.334</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4145,34 +4201,34 @@
        "</div>"
       ],
       "text/plain": [
-       "                                            mean     sd  hdi_3%  hdi_97%  \\\n",
-       "1-stage-model     alpha_trt               -1.153  0.063  -1.267   -1.032   \n",
-       "                  beta_[trt]               2.836  0.404   2.052    3.554   \n",
-       "                  beta_[age]              -2.234  0.354  -2.895   -1.554   \n",
-       "                  beta_[smokeintensity]    0.570  0.464  -0.332    1.403   \n",
-       "                  beta_[smokeyrs]          0.493  0.349  -0.157    1.150   \n",
-       "                  beta_[wt71]              0.016  0.624  -1.124    1.203   \n",
-       "                  beta_[wt71^2]           -1.261  0.624  -2.438   -0.091   \n",
-       "                  beta_[smokeintensity^2] -0.278  0.457  -1.128    0.595   \n",
-       "                  alpha_outcome            2.057  0.330   1.452    2.690   \n",
-       "                  beta_ps                 -0.527  0.997  -2.399    1.328   \n",
-       "2-stage-model     beta_[trt]               2.857  0.403   2.082    3.587   \n",
-       "                  beta_[age]              -2.184  0.355  -2.843   -1.524   \n",
-       "                  beta_[smokeintensity]    0.524  0.469  -0.376    1.383   \n",
-       "                  beta_[smokeyrs]          0.478  0.345  -0.156    1.124   \n",
-       "                  beta_[wt71]              0.059  0.630  -1.131    1.246   \n",
-       "                  beta_[wt71^2]           -1.261  0.629  -2.452   -0.081   \n",
-       "                  beta_[smokeintensity^2] -0.242  0.464  -1.121    0.641   \n",
-       "                  alpha_outcome            1.918  0.506   0.957    2.856   \n",
-       "                  beta_ps                 -0.001  0.997  -1.871    1.901   \n",
-       "Simple Regression beta_[trt]               2.820  0.403   2.066    3.559   \n",
-       "                  beta_[age]              -2.276  0.344  -2.911   -1.626   \n",
-       "                  beta_[smokeintensity]    0.628  0.465  -0.221    1.507   \n",
-       "                  beta_[smokeyrs]          0.509  0.343  -0.155    1.132   \n",
-       "                  beta_[wt71]              0.016  0.615  -1.078    1.206   \n",
-       "                  beta_[wt71^2]           -1.277  0.617  -2.491   -0.183   \n",
-       "                  beta_[smokeintensity^2] -0.323  0.463  -1.188    0.548   \n",
-       "                  alpha_outcome            1.926  0.217   1.497    2.315   \n",
+       "                                             mean      sd  hdi_3%  hdi_97%  \\\n",
+       "1-stage-model     alpha_trt                -1.143   0.063  -1.261   -1.028   \n",
+       "                  beta_[trt]                3.069   0.411   2.331    3.883   \n",
+       "                  beta_[age]               -1.352   0.558  -2.407   -0.325   \n",
+       "                  beta_[smokeintensity]    -0.321   0.613  -1.505    0.799   \n",
+       "                  beta_[smokeyrs]           0.104   0.429  -0.706    0.908   \n",
+       "                  beta_[wt71]               0.066   0.647  -1.131    1.280   \n",
+       "                  beta_[wt71^2]            -0.975   0.667  -2.271    0.232   \n",
+       "                  beta_[smokeintensity^2]   0.265   0.534  -0.733    1.286   \n",
+       "                  alpha_outcome             4.722   1.203   2.514    7.006   \n",
+       "                  beta_ps                 -11.172   4.698 -20.527   -2.890   \n",
+       "2-stage-model     beta_[trt]                2.946   0.409   2.170    3.702   \n",
+       "                  beta_[age]               -1.715   0.413  -2.431   -0.864   \n",
+       "                  beta_[smokeintensity]     0.181   0.489  -0.743    1.081   \n",
+       "                  beta_[smokeyrs]           0.163   0.371  -0.536    0.866   \n",
+       "                  beta_[wt71]               0.045   0.627  -1.112    1.227   \n",
+       "                  beta_[wt71^2]            -1.181   0.629  -2.379   -0.028   \n",
+       "                  beta_[smokeintensity^2]  -0.013   0.468  -0.904    0.857   \n",
+       "                  alpha_outcome             2.836   2.760  -2.286    7.914   \n",
+       "                  beta_ps                  -0.047  10.037 -19.449   17.857   \n",
+       "Simple Regression beta_[trt]                2.820   0.395   2.092    3.599   \n",
+       "                  beta_[age]               -2.267   0.346  -2.896   -1.614   \n",
+       "                  beta_[smokeintensity]     0.626   0.461  -0.238    1.491   \n",
+       "                  beta_[smokeyrs]           0.499   0.344  -0.118    1.164   \n",
+       "                  beta_[wt71]               0.021   0.612  -1.104    1.184   \n",
+       "                  beta_[wt71^2]            -1.282   0.612  -2.456   -0.148   \n",
+       "                  beta_[smokeintensity^2]  -0.318   0.458  -1.149    0.581   \n",
+       "                  alpha_outcome             1.924   0.216   1.518    2.334   \n",
        "\n",
        "                                           r_hat  \n",
        "1-stage-model     alpha_trt                  1.0  \n",
@@ -4204,7 +4260,7 @@
        "                  alpha_outcome              1.0  "
       ]
      },
-     "execution_count": 36,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4228,12 +4284,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4257,7 +4313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 37,
    "metadata": {
     "tags": [
      "hide-output"
@@ -4271,7 +4327,7 @@
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std]\n",
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 25 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 24 seconds.\n",
       "Sampling: [beta_std, t_pred]\n",
       "Sampling: [t_pred]\n"
      ]
@@ -4279,10 +4335,10 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x175ec1010>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x17ae23380>"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4326,7 +4382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -4380,7 +4436,7 @@
       "NUTS: [beta_std, beta_ps, a_outcome, sigma]\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n",
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 38 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 52 seconds.\n"
      ]
     }
    ],
@@ -4389,7 +4445,7 @@
     "    result.X_outcome,\n",
     "    result.y,\n",
     "    result.coords,\n",
-    "    priors={\"b_outcome\": [0, 1], \"a_outcome\": [0, 20], \"sigma\": 2},\n",
+    "    priors={\"b_outcome\": [0, 1], \"a_outcome\": [0, 20], \"sigma\": 2, \"beta_ps\": [0, 10]},\n",
     "    noncentred=True,\n",
     "    normal_outcome=True,\n",
     ")"
@@ -4442,194 +4498,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
-       "      <td>0.010</td>\n",
-       "      <td>0.993</td>\n",
-       "      <td>-1.895</td>\n",
-       "      <td>1.849</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.994</td>\n",
+       "      <td>-1.862</td>\n",
+       "      <td>1.879</td>\n",
        "      <td>0.006</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>27328.0</td>\n",
-       "      <td>27408.0</td>\n",
+       "      <td>32100.0</td>\n",
+       "      <td>26694.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-1.994</td>\n",
-       "      <td>0.359</td>\n",
-       "      <td>-2.659</td>\n",
-       "      <td>-1.307</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>25412.0</td>\n",
-       "      <td>29179.0</td>\n",
+       "      <td>-1.475</td>\n",
+       "      <td>0.536</td>\n",
+       "      <td>-2.468</td>\n",
+       "      <td>-0.454</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>14388.0</td>\n",
+       "      <td>21665.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>0.161</td>\n",
-       "      <td>0.199</td>\n",
-       "      <td>-0.203</td>\n",
-       "      <td>0.544</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>-0.077</td>\n",
+       "      <td>0.270</td>\n",
+       "      <td>-0.587</td>\n",
+       "      <td>0.428</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>44108.0</td>\n",
-       "      <td>30957.0</td>\n",
+       "      <td>17042.0</td>\n",
+       "      <td>23987.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-0.734</td>\n",
-       "      <td>0.227</td>\n",
-       "      <td>-1.163</td>\n",
-       "      <td>-0.312</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>34389.0</td>\n",
-       "      <td>32024.0</td>\n",
+       "      <td>-1.050</td>\n",
+       "      <td>0.333</td>\n",
+       "      <td>-1.669</td>\n",
+       "      <td>-0.420</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>14131.0</td>\n",
+       "      <td>21721.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.217</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>-0.170</td>\n",
-       "      <td>0.581</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>-0.054</td>\n",
+       "      <td>0.289</td>\n",
+       "      <td>-0.592</td>\n",
+       "      <td>0.496</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>41447.0</td>\n",
-       "      <td>31092.0</td>\n",
+       "      <td>16390.0</td>\n",
+       "      <td>24072.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.264</td>\n",
-       "      <td>0.357</td>\n",
-       "      <td>-0.416</td>\n",
-       "      <td>0.929</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>-0.096</td>\n",
+       "      <td>0.453</td>\n",
+       "      <td>-0.946</td>\n",
+       "      <td>0.762</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>25097.0</td>\n",
-       "      <td>28724.0</td>\n",
+       "      <td>16581.0</td>\n",
+       "      <td>23872.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.447</td>\n",
-       "      <td>0.203</td>\n",
-       "      <td>-1.833</td>\n",
-       "      <td>-1.073</td>\n",
+       "      <td>-1.394</td>\n",
+       "      <td>0.206</td>\n",
+       "      <td>-1.792</td>\n",
+       "      <td>-1.013</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>44624.0</td>\n",
-       "      <td>30966.0</td>\n",
+       "      <td>39942.0</td>\n",
+       "      <td>28823.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.528</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>-0.904</td>\n",
-       "      <td>-0.150</td>\n",
+       "      <td>-0.468</td>\n",
+       "      <td>0.205</td>\n",
+       "      <td>-0.862</td>\n",
+       "      <td>-0.091</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>38161.0</td>\n",
-       "      <td>30611.0</td>\n",
+       "      <td>32808.0</td>\n",
+       "      <td>29870.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.110</td>\n",
-       "      <td>0.199</td>\n",
-       "      <td>-0.485</td>\n",
-       "      <td>0.267</td>\n",
+       "      <td>-0.070</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>-0.453</td>\n",
+       "      <td>0.303</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>45228.0</td>\n",
-       "      <td>30873.0</td>\n",
+       "      <td>33692.0</td>\n",
+       "      <td>28756.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.382</td>\n",
+       "      <td>0.358</td>\n",
        "      <td>0.241</td>\n",
-       "      <td>-0.077</td>\n",
-       "      <td>0.825</td>\n",
+       "      <td>-0.082</td>\n",
+       "      <td>0.824</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>27514.0</td>\n",
-       "      <td>28968.0</td>\n",
+       "      <td>29735.0</td>\n",
+       "      <td>29850.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.360</td>\n",
+       "      <td>0.340</td>\n",
        "      <td>0.260</td>\n",
-       "      <td>-0.126</td>\n",
-       "      <td>0.847</td>\n",
+       "      <td>-0.165</td>\n",
+       "      <td>0.817</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>25179.0</td>\n",
-       "      <td>29232.0</td>\n",
+       "      <td>27375.0</td>\n",
+       "      <td>28532.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.353</td>\n",
-       "      <td>0.216</td>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>0.766</td>\n",
+       "      <td>0.239</td>\n",
+       "      <td>0.233</td>\n",
+       "      <td>-0.188</td>\n",
+       "      <td>0.690</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>31252.0</td>\n",
-       "      <td>30449.0</td>\n",
+       "      <td>24271.0</td>\n",
+       "      <td>28684.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.024</td>\n",
-       "      <td>0.229</td>\n",
-       "      <td>-0.458</td>\n",
-       "      <td>0.403</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>0.165</td>\n",
+       "      <td>0.273</td>\n",
+       "      <td>-0.337</td>\n",
+       "      <td>0.696</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>30935.0</td>\n",
-       "      <td>30218.0</td>\n",
+       "      <td>21413.0</td>\n",
+       "      <td>27762.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.179</td>\n",
-       "      <td>0.253</td>\n",
-       "      <td>-0.307</td>\n",
-       "      <td>0.646</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>0.254</td>\n",
+       "      <td>0.261</td>\n",
+       "      <td>-0.225</td>\n",
+       "      <td>0.752</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>33737.0</td>\n",
-       "      <td>31958.0</td>\n",
+       "      <td>28062.0</td>\n",
+       "      <td>28627.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.208</td>\n",
-       "      <td>0.261</td>\n",
-       "      <td>-0.280</td>\n",
-       "      <td>0.701</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>0.380</td>\n",
+       "      <td>0.296</td>\n",
+       "      <td>-0.185</td>\n",
+       "      <td>0.930</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>32414.0</td>\n",
-       "      <td>32267.0</td>\n",
+       "      <td>20834.0</td>\n",
+       "      <td>26865.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.796</td>\n",
-       "      <td>0.404</td>\n",
-       "      <td>2.055</td>\n",
-       "      <td>3.566</td>\n",
+       "      <td>2.828</td>\n",
+       "      <td>0.403</td>\n",
+       "      <td>2.076</td>\n",
+       "      <td>3.589</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>53554.0</td>\n",
-       "      <td>29936.0</td>\n",
+       "      <td>38409.0</td>\n",
+       "      <td>26760.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4638,40 +4694,40 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]       0.010  0.993  -1.895    1.849      0.006    0.005   \n",
-       "beta_[age]            -1.994  0.359  -2.659   -1.307      0.002    0.002   \n",
-       "beta_[race]            0.161  0.199  -0.203    0.544      0.001    0.001   \n",
-       "beta_[sex]            -0.734  0.227  -1.163   -0.312      0.001    0.001   \n",
-       "beta_[smokeintensity]  0.217  0.200  -0.170    0.581      0.001    0.001   \n",
-       "beta_[smokeyrs]        0.264  0.357  -0.416    0.929      0.002    0.002   \n",
-       "beta_[wt71]           -1.447  0.203  -1.833   -1.073      0.001    0.001   \n",
-       "beta_[active_1]       -0.528  0.200  -0.904   -0.150      0.001    0.001   \n",
-       "beta_[active_2]       -0.110  0.199  -0.485    0.267      0.001    0.001   \n",
-       "beta_[education_2]     0.382  0.241  -0.077    0.825      0.001    0.001   \n",
-       "beta_[education_3]     0.360  0.260  -0.126    0.847      0.002    0.001   \n",
-       "beta_[education_4]     0.353  0.216  -0.047    0.766      0.001    0.001   \n",
-       "beta_[education_5]    -0.024  0.229  -0.458    0.403      0.001    0.001   \n",
-       "beta_[exercise_1]      0.179  0.253  -0.307    0.646      0.001    0.001   \n",
-       "beta_[exercise_2]      0.208  0.261  -0.280    0.701      0.001    0.001   \n",
-       "beta_[trt]             2.796  0.404   2.055    3.566      0.002    0.002   \n",
+       "beta_[Intercept]       0.011  0.994  -1.862    1.879      0.006    0.005   \n",
+       "beta_[age]            -1.475  0.536  -2.468   -0.454      0.004    0.003   \n",
+       "beta_[race]           -0.077  0.270  -0.587    0.428      0.002    0.001   \n",
+       "beta_[sex]            -1.050  0.333  -1.669   -0.420      0.003    0.002   \n",
+       "beta_[smokeintensity] -0.054  0.289  -0.592    0.496      0.002    0.001   \n",
+       "beta_[smokeyrs]       -0.096  0.453  -0.946    0.762      0.004    0.002   \n",
+       "beta_[wt71]           -1.394  0.206  -1.792   -1.013      0.001    0.001   \n",
+       "beta_[active_1]       -0.468  0.205  -0.862   -0.091      0.001    0.001   \n",
+       "beta_[active_2]       -0.070  0.201  -0.453    0.303      0.001    0.001   \n",
+       "beta_[education_2]     0.358  0.241  -0.082    0.824      0.001    0.001   \n",
+       "beta_[education_3]     0.340  0.260  -0.165    0.817      0.002    0.001   \n",
+       "beta_[education_4]     0.239  0.233  -0.188    0.690      0.001    0.001   \n",
+       "beta_[education_5]     0.165  0.273  -0.337    0.696      0.002    0.001   \n",
+       "beta_[exercise_1]      0.254  0.261  -0.225    0.752      0.002    0.001   \n",
+       "beta_[exercise_2]      0.380  0.296  -0.185    0.930      0.002    0.001   \n",
+       "beta_[trt]             2.828  0.403   2.076    3.589      0.002    0.002   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]        27328.0   27408.0    1.0  \n",
-       "beta_[age]              25412.0   29179.0    1.0  \n",
-       "beta_[race]             44108.0   30957.0    1.0  \n",
-       "beta_[sex]              34389.0   32024.0    1.0  \n",
-       "beta_[smokeintensity]   41447.0   31092.0    1.0  \n",
-       "beta_[smokeyrs]         25097.0   28724.0    1.0  \n",
-       "beta_[wt71]             44624.0   30966.0    1.0  \n",
-       "beta_[active_1]         38161.0   30611.0    1.0  \n",
-       "beta_[active_2]         45228.0   30873.0    1.0  \n",
-       "beta_[education_2]      27514.0   28968.0    1.0  \n",
-       "beta_[education_3]      25179.0   29232.0    1.0  \n",
-       "beta_[education_4]      31252.0   30449.0    1.0  \n",
-       "beta_[education_5]      30935.0   30218.0    1.0  \n",
-       "beta_[exercise_1]       33737.0   31958.0    1.0  \n",
-       "beta_[exercise_2]       32414.0   32267.0    1.0  \n",
-       "beta_[trt]              53554.0   29936.0    1.0  "
+       "beta_[Intercept]        32100.0   26694.0    1.0  \n",
+       "beta_[age]              14388.0   21665.0    1.0  \n",
+       "beta_[race]             17042.0   23987.0    1.0  \n",
+       "beta_[sex]              14131.0   21721.0    1.0  \n",
+       "beta_[smokeintensity]   16390.0   24072.0    1.0  \n",
+       "beta_[smokeyrs]         16581.0   23872.0    1.0  \n",
+       "beta_[wt71]             39942.0   28823.0    1.0  \n",
+       "beta_[active_1]         32808.0   29870.0    1.0  \n",
+       "beta_[active_2]         33692.0   28756.0    1.0  \n",
+       "beta_[education_2]      29735.0   29850.0    1.0  \n",
+       "beta_[education_3]      27375.0   28532.0    1.0  \n",
+       "beta_[education_4]      24271.0   28684.0    1.0  \n",
+       "beta_[education_5]      21413.0   27762.0    1.0  \n",
+       "beta_[exercise_1]       28062.0   28627.0    1.0  \n",
+       "beta_[exercise_2]       20834.0   26865.0    1.0  \n",
+       "beta_[trt]              38409.0   26760.0    1.0  "
       ]
      },
      "execution_count": 41,
@@ -4690,7 +4746,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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nERkZaXa8evXqoUKFCkpHaCZVq1bF4MGDYTAYsGnTpnSnc/r06UhKSsLw4cPx0UcfmdXaadiwIYYOHQqDwaDU3gHkzhZ37NgBAPj111/NSmzfffddfPHFF9DpdOlOS0aEhIQAAJo1a5aiiY2zszM6dOiQ7uEXvb29MWrUKKXUW5IkDB48GAULFsSjR4/MmihER0dj1apVAORrkTwNZcqUwS+//JKl1yIuLg4TJ04EID+Hk+evtLh9+zZcXFzQpUsXqNVqZbkkSahevToaNmyY7jRlJG8uW7YM8fHxqFmzJoYMGaKkRaPRYNiwYahUqZLFz8rs85yIKLNYzZ6IXquaNWuaBaImp0+fxuPHjxEQEGC1zWXDhg2xdetWHD9+HG3atDFbd+PGDfz777+4evUqnj17plT7DAsLAyBXv7Y0XF5atGvXLsUPw5IlS8LBwQHx8fFo3759in1M53Dnzh2z5du3bwcgt/FM3r7dxN3dHQEBATh69CjOnz+fIhCsU6dOiiAVkIPAbdu2pfi8rPKyoeksfacZtXfvXiQlJaFhw4YWz1WlUqF+/fo4d+4cjh07plyjnTt3AkC2tFFNbWg6Jycns/nChQvj1q1b2Lx5Mzp06PA6koe6deum+I7UajW0Wi0ePHiAVq1awcHBwWx93rx5UbRoUdy4cQN3795N0W46PDwcGzZswNmzZ/H06VOlU8OYmBgA8j2XHklJSdi7dy/UarXVttwNGzbETz/9hOPHjyvLDhw4ACEEqlWrlqJ/DABo3749Jk2a9FoCelN+PXz4MCIjI1Nta55WH374odlLDQCwsbGBj48PHj9+jDt37ijPm+DgYCQmJsLLywtVqlRJcazq1aujaNGiuHv3bqbTBQCjRo3C7du3UahQIXz99dfp3r9w4cIIDQ3FwYMHUatWrSxJE5D+vHnw4EEAsJrv2rVrh2PHjqVYntnnORFRZjGYJ6LXqlSpUhaXm8anv3fvHjp37mxxm+joaAByG8Xk/vjjD/z+++8wGo1WP/fZs2cZSS4AWOx0DwDc3NwQHx9vcX2+fPkAyCVXyZlK0ZYvX46NGzdaPK6p5PbRo0cp1lkbx9na52WV9A5NlxmmvHDmzBmreeHp06cAzPOCabg7Uxvb1yk9Q9P17NkThw4dwujRozF//nzUrl0bVapUQfXq1eHm5vZK0veyfJPa+hs3bqTIVwcOHMCQIUOUe9KS9N5zt2/fRmJiImxsbNCvXz+L24j/2r4n/95N94u1Z4uzszM8PDyyLIBNTaVKlVChQgWcOXMG9evXR82aNVGtWjVUq1YNfn5+KV4KpoW154+pFDz5d2OqGfBiB4PJabXaLLkWkyZNwqZNm+Do6Ijp06dn6MVFz5498eOPP6JPnz7w8/NDzZo1UaVKFVSrVs3qy7GXyUjefNl1s7Y8s89zIqLMYjBPRK+Vo6OjxeWmH17h4eEIDw9P9RimUhYAOH78OCZPngy1Wo1hw4ahYcOGKFKkCBwcHCBJEqZMmYJZs2YpJfUZYa3jItMPc0vrrf1oN5UMmQLW1Fiqlmnt+plK7sRr7OjrVTHlBVNnV6lJnhdM1zanj1tfv359zJ49GzNnzsSZM2dw8+ZNLFq0CBqNBo0bN8a3336bpTUdAKQodTcx5dOXrU+er6KiovDll18iOjoabdq0QZcuXVCyZEmlM8tDhw6hd+/e6b7nTN+7TqfDyZMnU902+fduCmZNLyYsKVCgwGsJ5lUqFebMmYOgoCCsX78eO3fuVGqMeHp6YuDAgWnuQd7E2ndj6Z43XYsXa4Mkl9q6tJo3bx7mzJkDW1tbzJgxw2KHhhcvXsRPP/2UYnm9evUwYMAAAEDXrl3h5OSEBQsW4MKFC7hw4QLmzJkDOzs7fPDBB/j666/TdT9nNG/Gx8cDsH5trC3P7POciCizGMwTUY5gClJbt26NSZMmpXm/DRs2AJDb/1rqofjBgwdZk8AsYjrPBQsWpOghnGSmazRgwAAMHTo0zfs5OTnh2bNnqZbI5RT16tVDvXr1EBkZieDgYBw5cgQbN27Eli1bEBoaipUrV8LGxia7k2nRvn378OzZM1SqVAnjx49P8eLqZS9grDEFTB4eHti3b1+a9zPll9ReAppqcmSEtRdk1mrBuLi4YNSoUfj2229x+fJlHD9+HDt27MDRo0fxzTffwNHREc2bN89welJjuhaxsbFWt0ltXVqsXLkSEyZMgEajwe+//251qMDo6GiLL2Ve7E2/TZs2aNOmDR4/fozjx4/j4MGD2LRpE1auXInHjx9j1qxZaU5bRvOmg4MDYmJirH6n1q4Zn+dElN3YAR4R5QilS5cGAFy7di1d+5nG4LbWQZG1drsZqe6aFUwdUqWlJCcrZNd5ZkZG84Jpv8x0dvi6ubq6onHjxhg9ejQ2btyIPHny4OLFizh//ryyTU77Dk33XMWKFS2mLaP3XIkSJWBjY4PHjx+n6HAvNaZhyW7dumVxfWxsbIZe6r3sJUFoaGiq+0uSBF9fX/To0QOLFi1SXjb+/fff6U5LWpmuRfJO8V6UmWfPv//+izFjxkClUmH8+PFKx5uWVK9eHVeuXEnxzzQe/IsKFiyI9957D+PGjcPff/8NlUqF3bt3m1VPf1keymjefNl1s3bNXvfznIjoRQzmiShHqFq1Ktzc3HD58mUcPXo0zfuZeni2VPJ24MABqz/eTPu97qqPTZs2BQCsWLHCrKrwq5Jd55kZ9erVg42NDfbt26e0N02Lxo0bAwAWL16MpKSkNO1jaiLxOr6LlylQoACKFi0KwLx9bU77Dk3pefLkSYp1ERERSm/qLzJda2vn4eDggNq1a8NoNKarf4batWsDkJvcXL9+PcX6v//+O0Od35n6ETh37lyKdefOnUt3B38VKlQA8GrbTlepUgV2dna4ffs2Tp06lWL98ePHM9zcYO/evRgxYgSMRiPGjBnzSkZdMCldurRSvT4990JG86ap8721a9daXL9mzRqLy1/385yI6EUM5okoR7Czs1OGcxs8eDC2b9+eonrr1atXMXHiRJw4cUJZZuqxefbs2WY9uZ89exbffvut8uPuRcl/qJvaS74OTZo0QcWKFXHz5k0MGDBA6XjJJCkpCXv27ME333yTJZ+XXeeZGR4eHujZsyd0Oh369u2b4uWOEAJnz57FmDFjzL7zjz76CJ6enrh27RoGDRqUoqPE4OBgrF+/3myZ6fpY6qn6VRk6dCj27NmT4oXDli1bcPXqVUiSZDaiQ077Dk09cm/ZsgWHDh1Slj969AhffPEFDAaDxf3y5csHJycnPH36FDdu3LC4zeDBg2Fra4uZM2di9uzZKYK2R48e4c8//8SyZcuUZSVKlECjRo0ghMCIESPMSuGPHj2KoKCgDDVZqFOnDgD5ZcDZs2eV5bdv38bIkSMt9l6+fv16TJ8+PUXAHBERobygsDZaR1bIkyePMrrG119/rXQKCQDXr1/HiBEjMnQtgoODlSH+vvrqK3Tq1CnTaY2JicHQoUNx9OhRs85LTUMPPnv2DI6OjihZsqSyznQvnDp1ymKfDBnNm506dYKDgwMOHDiAwMBAZTu9Xo8pU6ZY7cPhdT/PiYhexDbzRJRjdOnSBWFhYZg9ezYGDhwIV1dXFCtWDEajEffu3VOq3ibvNbxjx45YtmwZQkND0aJFC5QsWRI6nQ63bt1C6dKl8d5772HBggUpPsvPzw9eXl64ffs26tevj5IlS8LGxgZly5bFqFGjXtk5qlQqBAYG4pNPPsGhQ4fQtGlTlChRAq6uroiNjUVISAh0Op3ZeMWZkVXnefHiRas9ywNye+e5c+dmRZIByAHvo0ePsH79evTo0QMFCxZE4cKFkZSUhDt37ihtWHv06KHs4+zsjBkzZuDjjz/Gnj17UL9+fXh7e0Oj0eDu3buIjo5G27Ztzcaab9GiBfbs2YOxY8di6dKlSo/c3377rdn49i/zv//9L9Xet3v06IEWLVoAAPbv349NmzbB1tYWXl5esLOzw4MHD/D48WMAwGeffWbWu3x25VVr/P390axZM2zduhW9e/dGiRIl4OjoiGvXrsHOzg7Dhg3Dzz//nGI/SZLQvHlzrF69Gm3btkWZMmWUquymQNfX1xeTJ0/GV199hd9++w1BQUEoVaqUUv3e1Ob5xd7ux4wZg8uXL+P8+fNo3LgxypQpg7i4OOWaxcbGmg1nlxZ169ZFzZo1cejQIXTs2FFpBnD9+nVUqVIFZcuWTdGDeXh4OKZNm4Zp06bBw8MD7u7uSExMxK1bt6DT6eDh4YHBgwenKx3p9eWXX+LkyZO4dOkSWrZsiTJlykAIgWvXrsHPzw8VK1bEv//+m2K4u9SMGjUKCQkJsLW1NevU70UDBgxAvXr10nRMo9GITZs2KT3iFy9eHBqNBvfu3UNERAQkScK3335r1vlc7dq14eLighMnTqB+/fooVqwYNBoN6tSpg/79+2c4bxYpUgRjxozBN998g6CgICxduhSenp64e/cunj17hmHDhmHixIkprtnrfp4TEb2IwTwR5SjDhg1DgwYNsGTJEpw4cQKXL1+Gk5MTPDw80KhRIzRr1syswyVnZ2csXboUv/32G/bu3Ytbt27Bw8MDvXv3xsCBAy0G8oD8I+yPP/7A5MmTERwcjLNnz1ottclq7u7uWLFiBVatWoVNmzbh6tWruH//PgoUKIDy5cujZs2aSuCXWVl1njExMan2MJ7VPchrNBpMnDgRrVq1wsqVK3HmzBlcunQJefPmhZeXFypVqoRmzZqZldoBQNmyZbFhwwYsWLAAu3btwt27d6FSqVCoUCG0atUqRYlimzZtEBUVhVWrViEkJERp+xoVFZWu9L6szWyzZs2U6fHjx2Pfvn04deoUHj16hLi4OBQqVAhNmjRBz549Ua1aNbN9szOvWjNp0iR4e3tj3bp1uH//PlxdXdGsWTMMHDhQeSlhyahRo+Dk5ISdO3fiypUrFqu/N2nSBP/++y8WLlyIAwcO4NatW1CpVPDw8ECTJk3QuHFjNGzY0GwfDw8PrFq1ClOnTsXOnTtx/fp1FClSBF988QX69++PPn36pPscJUlCUFAQAgMDsXnzZty9exceHh7o378/Pv/8c3z//fcp9mnWrBl0Oh0OHz6MW7du4erVq3BwcIBWq0WTJk3QtWtX5M2bN91pSQ9nZ2csXrwY06dPx5YtW3Dz5k24u7ujV69eGDRokFJKnJ6h30zfU1JSUqrPgfR0NOjk5IQJEybg4MGDOHfuHO7duwedTodChQqhTp066Nu3L8qWLZvi3ObNm4dp06bh7NmzOH36NIxGIzw9PZVtMpo327ZtCw8PD8ycORPnz5/HzZs34efnhwEDBsDd3R0TJ0602Kv963yeExG9SBJvwjhGRERERPRSrVu3xtWrV/HPP/+kq/bJ22zr1q344osv0KhRI8yYMSO7k0NEpGCbeSIiIqK3wNmzZ3H16lXkzZtXGf2BXs7UAV7lypWzOSVEROYYzBMRERG9QSZPnpyiA8izZ89iyJAhAIAPP/wwQx3hvcm2bt2KvXv3mjVhiY+Px4QJE7Bnzx44Ojrigw8+yMYUEhGlxGr2RERERG8QHx8fAPLY7YUKFUJ4eLgyBru/vz8WLVpksf332ywwMBBBQUGws7ND8eLFYWtrixs3biAhIQFqtRrjx4836zyTiCgnYDBPRERE9AaZM2cO9u3bh1u3biEyMhI2NjYoWbIkWrRogW7dusHBwSG7k5jjXLx4EUuWLEFwcDCePHmCxMREuLm5oWrVqujduzfKly+f3UkkIkqBwTwRERERERFRLsM280RERERERES5DIN5IiIiIiIiolyGwTwRERERERFRLsNgnoiyzN27d+Hj44OGDRtmd1KyxdGjR+Hj44Pu3bubLX/brwuRJd27d4ePjw+OHj2a3UlJYc2aNfDx8cHIkSPTvW9gYCB8fHwQGBj4ClL2+jVs2BA+Pj64e/dudiclS72p5/Uq5OR7lehtx2Ce3jqmP0rJ//n7+6Nu3boYOHAgDh06lN1JpNfoyZMn8PPzg4+PDzp16pTdyXkl7t69i8DAQKxZsya7k/JKZfV5bt26VXlGTJkyJUuOSblbVFQUAgMDsXDhwuxOClGutXDhQgQGBiIqKiq7k0KU6zGYp7dW4cKFUblyZVSuXBmlS5dGdHQ0tm/fjt69e2PWrFnZnbxcyTT8UbFixbI7KWm2ceNG6PV6AMCpU6cQGhqa5Z+R3dfl3r17CAoKwtq1a7Pl81+XrD7PdevWKdPr168HB395e+TJkwclS5ZEwYIFzZZHRUUhKCgIixYtyqaUEb1+hQsXRsmSJbNsSMNFixYhKCiIwTxRFtBkdwKIssuHH36IQYMGKfMJCQmYOHEiFi9ejKlTp6Jp06YoVapUNqYw9/Hw8MCWLVuyOxnpsn79egBA3rx5ERUVhfXr12PgwIFZ+hm58bq87SIiIrBv3z5IkgQnJyfcv38fx48fxzvvvJPdSaPXoEmTJmjSpEl2J4MoR5gwYUJ2J4GIrGDJPNF/7O3t8c0338DT0xNGoxE7duzI7iTRK3b9+nVcuHAB9vb2GDFiBADz0lh6e23atAk6nQ6VKlXC+++/D4B5g4iIiHIWBvNEyWg0GpQrVw6AXGXXkrNnz2Lo0KGoU6cO/P39UbNmTXzxxRe4ePGi1eOGhobiyy+/RI0aNVChQgV88MEHWLZsGQDrnfAkX37kyBF8/PHHqF69eopOaOLj4zF79my0a9cOlStXVo4/d+5cJCUlpUiLEAL//PMPunbtiqpVq8Lf3x+1atVCu3btMGHCBDx48MBs+4iICPz6669o3rw5AgICULFiRTRs2BB9+/bFkiVLzLZ9WUdvERERmDBhApo1a4by5cujWrVq6N69u9UqzMk7oUpKSkJgYCCaNGmCgIAA1KtXD7/88gvi4uKsXveXMQVn9evXR+vWreHs7IzQ0FCcOnUq1f22b9+OTp06oWLFiqhevTo++eQTnDt3zur21q5LWjrGM7XZftG9e/fw/fffo1GjRvD390elSpXQqFEjfP755/j333+V7bp3744ePXoAAI4dO2bWV0Tyzx05ciR8fHywZs0a3Lt3D8OHD0fNmjVRqVIldOzYEQcPHlS2vXLlCgYNGoR3330XFSpUQNeuXXH69Gmr56DX67Fs2TJ07twZVatWRUBAAJo3b44pU6YgJiYmxfYZ+d7Tep5pZaqx0apVK7Ru3RoAsGXLFiQmJlrcPnnnhzqdDkFBQWjWrBkCAgJQp04d/PDDD4iMjEyxX/I8IITAX3/9hdatW6NChQp499138dVXX+H+/fsWPzN53ti6datyT7/4PLl27Rq++uor1K1bV3lmDRo0yOp3FhUVhb///huffvopmjRpgvLly6NKlSro0KEDFi1apDRLsUSv12PlypXo3r07qlevjoCAADRq1AiDBg1K9QXpjRs38MUXX6B69eooX7482rVrh02bNlnd3pL//e9/8PHxsVgFvnnz5vDx8UGXLl1SrLPUYZ2lDvBGjhyJRo0aAZDvvxf7XrEkOjoa48aNQ/369eHv748mTZpg+vTpqV5DS5KnJy4uDpMnT1by14sdbmbkb5Tpnjfd061bt8aSJUtSbVqS2nkDqXcwJ4TA5s2b0a9fP7z77rvw9/dH/fr18fHHH1vt8+J1nVdaHDx4EAMHDkTt2rXh7++P2rVro3v37liyZInFv7t79uxB3759Ub16dfj7+6Nhw4YYO3YswsLCzLZ79uwZ/P39Ua5cOTx58sTq5w8aNChFXn/8+DH++usv9O3bFw0bNkRAQACqVauGbt264Z9//rF4nBf/Bq1cuRIffvghKlWqZPbdWusAL73PClM+Nv2+atSokdk99OLxIyMjMWXKFLRq1QoVK1ZEpUqV8NFHH2HlypUwGo0pzkev1+PPP/9E+/btUalSJeW76dSpE6ZNm8Zq/fRGYjV7ohfEx8cDgMW2YQsXLsT48eMhhICrqyvKlCmD+/fvY+vWrdi1axcmT56Mpk2bmu1z+fJldO/eHVFRUbC3t4e3tzciIyMxduxY3Lhx46Xp+ffff/H7778jT548KF68OOzt7ZV1Dx8+RJ8+fXD9+nVoNBp4enpCo9Hg+vXrmDhxInbt2oX58+eb7TNhwgTMnz8fAFCkSBF4eXkhIiICV69exYULF1C5cmUUKlQIgPxD9KOPPkJoaChsbGxQokQJ2NnZ4cGDBzh48CDOnDmDrl27pum6hoSEoGfPnggLC4ONjQ20Wi2ioqJw7NgxHDt2DAcPHsT48eMhSVKKfXU6Hfr06YPg4GCULl0anp6eCAkJwcKFC3Ht2jXlfNLDaDRiw4YNAIDWrVvDzs4OTZs2xZo1a7Bu3TpUqlTJ4n5z5szBpEmTAAAFCxaEu7s7jh07hi5duuDTTz9Ndzoy4u7du2jfvj0iIiLg4OCAkiVLQq1WIywsDDt27MDdu3fRsmVLAIBWq0VkZCSuXr0KZ2dnaLVa5Tgvtgc2HXvChAlITExEyZIlcf/+fZw+fRr9+/fH3LlzYWNjg379+kGj0aBYsWIIDQ1FcHAwevXqhb///htlypQxO15MTAwGDBiA48ePQ6VSoXDhwnBycsKtW7cwa9YsbN++HX/99Rfy58+fIi3p+d7Te56puX37Nk6fPg2NRoMWLVogX758KFq0KO7evYudO3fivffes7qvEAIDBw7Enj174OXlBW9vb1y7dg1Lly7FwYMHsWzZMovnCgA//PADli1bhiJFisDb2xvXr1/H+vXrceDAASxZssRqs5/Zs2fjt99+Q4ECBeDl5WX2InLnzp0YMmQIkpKSkDdvXvj4+OD+/fvYtm0bduzYgR9++AEfffSR2fF2796N0aNHw8bGBu7u7sq1PX/+PM6ePYuDBw9i5syZUKnMywOePXuGAQMG4OTJkwAAT09PFC1aFGFhYdi2bRsuXLiAxo0bp0j/hQsXEBgYCEmS4OXlhbCwMFy4cAFDhw6FTqfDBx98YPV6J1etWjX89ddfOH78uPJiBwCePn2KW7duAZADwoSEBLNn4vHjx5X9U+Pl5QV/f3+cP38etra28Pf3T3X76OhodOzYESEhIShTpgxUKhVCQ0Mxbdo0hIWF4X//+1+aziu5hIQEdOvWDRcvXkSpUqVQunRp2NraKusz8jfqxo0b6NKlCyIjI2FnZ4fSpUsjIiICP/74I65fv57uNL5MUlISvvzyS2zfvh2AfH+WLVsWjx49woEDB7B//360a9fObJ+cdF4//vij8iLb1dUVPj4+iIiIQHBwMI4dO4Z69eqhaNGiyva//fYbZs+eDQAoVKgQPD09cfPmTSxbtgybNm3CvHnzEBAQAABwcXFB7dq1sXv3bmzevDnFixpAfqbu3bsXarUaLVq0UJb//fffmDp1Kuzt7ZX7Njw8HMePH8fx48dx6tQp/PDDD1bPa8yYMVi+fDkKFy6MUqVKpan/mPQ+K/Lnz4/KlSvj/PnzSEpKgr+/v1n+zZMnjzJ97do19O3bFw8fPlR+fyQlJeHs2bM4c+YMDhw4gKlTp5r9Zvjyyy+xdetWAEDx4sXh4uKCJ0+e4OzZszh16hSaNGmCvHnzvvS8iHIVQfSW6datm9BqtWLatGkp1kVERIhq1aoJrVYr1q5da7Zu7969wsfHR1SvXl1s3brVbN3KlStFuXLlRKVKlcTDhw+V5QaDQbRq1UpotVrx8ccfi8jISGXdli1bhL+/v/Dz8xNarVbcuXPH7JgNGjQQWq1W+Pr6isDAQKHT6YQQQhiNRpGYmCgMBoPo2LGj0Gq1YujQoeLx48fKvmFhYaJLly5Cq9WK8ePHK8ufPn0qypYtK6pUqSKCg4PNPi8hIUFs3LhRXLp0SVk2b948odVqRZ8+fURERITZ9vfu3RMLFiwwW3bnzh2h1WpFgwYNzJYbjUbRrl07odVqRbdu3czSunfvXlGxYkWh1WrFkiVLzPZbvXq10Gq1ws/PT7z33nvi5s2byrpTp06JypUrC61WK/bu3SvS69ChQ0Kr1Ypq1aqJxMREIYQQBw8eFFqtVrzzzjvKsuQuXLggfH19hY+Pj1i8eLEwGo1CCCFiYmLEkCFDlO+yW7duabou1pYnp9VqhVarNVv2448/Cq1WK0aMGCFiYmLM1l2/fl0sX77cbNmRI0cspiu5ESNGKNd66NChIjo6Wggh5+GxY8cKrVYr3n//fdGgQQPxyy+/KNcnMTFRfPLJJ0Kr1YrBgwenOO7QoUOFVqsVPXv2FKGhocryyMhIMXDgQKHVasWgQYPM9sno956W80yL33//XWi1WtGvXz9l2eTJk4VWqxWffPKJxX1Mn12uXDlRuXJlcfjwYWXdvXv3xPvvv2/xXE15oFy5csLPz09s3LhRWRceHi569eoltFqtaN++vZLfTEx5w8/PT6xYsUJZr9PphE6nEw8ePFCu1f/+9z/lOzMYDGLmzJnKvsnveSGEuHTpkti9e3eKeyA0NFR07dpVaLVasWbNmhTX4LPPPhNarVY0btxYnD592mzd7du3xZw5c8yWmZ7Ffn5+4scffxQJCQlCCPl5MXHiRKHVakXt2rWFXq+3eM1f9PTpU6HVakX16tXNrtWmTZuEVqsVderUEVqt1uy7SUxMFOXLlxd+fn4iPj5eWW7KgyNGjDD7jLTcs9OmTVPOq2vXruLBgwfKup07dwpfX1+h1WrF9evX03ReydPj6+srmjZtarav6bpl5G+U0WgUbdu2tfic37hxo/Dz8xPlypWz+DfK0rMpOdPfsBf3GzdunPI9vXgPP3jwIMXf5td9XqlZuHCh0Gq1okKFCuKff/4RBoNBWRcRESHmz58vnj59qizbtWuXcn+vW7dOWR4dHS0+//xzJS8lz3sbN24UWq1WdOzY0WIa1qxZI7RarejVq5fZ8uPHj4vDhw+nuF8uXbokWrRoIbRarTh69KjZOlN+9vX1FRUrVhQ7duxQ1iVPk+lePXLkSIpjZ+RZYS1vmMTGxorGjRsLrVYrfvrpJ+XvkRBCXLt2TbRs2VJotVqxePFiZfm5c+eEVqsV9erVS3FvRUdHi5UrV4r79+9b/Dyi3IzV7IkAxMXF4dSpU/j000/x7NkzFCtWLEXp2++//w4hBMaNG5eiBKBDhw7o0aMHYmNj8ffffyvLDx48iKtXr8LV1RWTJ0+Gi4uLsq5Zs2bo378/dDpdqmkzDZmn0cgVaSRJgq2tLfbs2YNTp04hICAAEyZMQIECBZR9ChUqhClTpsDR0RHLly9HQkICALm6v9FoRI0aNVClShWzz7Gzs0PLli1RtmxZZdnt27cBAF26dIGrq6vZ9kWKFEGvXr1STbvJ4cOHldKsyZMnm6W1bt26+PzzzwEAc+fOtVj9Ua/XY/z48ShZsqSyrGLFiujQoQMAYN++fWlKR3KmatRNmzZVSgZq1KiBggULIjIy0uIxFyxYAIPBgGbNmqFr165KiYCTkxPGjx//2t74m76XXr16wcnJyWydt7c3OnbsmOFju7q6Yty4cXB2dgYAqFQqfPnll7Czs8Ply5fh4uKCESNGKNfM1tYWX3/9NQBg//79Zse6fPky/v33X3h6eiIoKMisN38XFxdMmDABhQsXxrZt2yw2a3kV33taJK9ib2JqN79//36Eh4db3Vev12PQoEGoUaOGsqxIkSL49ddfAQDbtm3DnTt3LO7XqVMnpUYFALi5uWHSpEmws7PD2bNnrY7x3KlTJ3z00UdKftRoNNBoNFi6dCliYmLg6+uLUaNGKd+ZSqXCgAEDUK9ePeh0uhQ1W8qWLYv69eublZgBQLFixfDzzz8DgFKrxeTs2bPYsWMHbG1tMWfOHFSoUMFsfYkSJfDxxx9bTL+3tzdGjRoFOzs7APIzbvDgwShYsCAePXqEK1euWNzvRfny5YO3tzciIiLMSl5NJe+mzzfNm9KdkJCA8uXLm5XWZwW1Wo1JkybBw8NDWdawYUOlqv6L90taGAwGTJ48Gd7e3soy03XLyN+oI0eOKP2GTJw40ew537JlS3Tq1CndTQJS8/DhQyxduhQAEBQUhLp165qt9/DwMOuYNiedV0JCAmbMmAEAGDt2LD744AOz2imurq7o3bs38uXLpywzlch36dJFeYYAgLOzMyZOnAg3Nzfcu3cPGzduVNY1bNgQjo6OOHXqlMUmCqZtkz8rAKBq1aqoUaMG1Gq12fKyZcviu+++A5DyvjUxGAz44osvlLwJIE33Q0aeFWmxevVqhIaGokmTJhg9erTy9wgASpcujUmTJkGSJCxYsEBZHhISAkD+bZX8/gDk692hQwcULlw43WkhyukYzNNbKygoSGmnValSJXTq1AknT55E7dq18eeff5r9cbp37x4uXLiA/Pnzm/2xS87U5iz5D0XTmPVNmzY1qz5m8mJVQkvatGljcbmpimLbtm2VQD85d3d3BAQEIC4uDufPnwcA5Q/ZmTNnrLbDTc60/Y4dOzL1g+7AgQMA5Harlqo8d+rUCba2trh37x5u3ryZYr2vr69SDTE50zJLP3hSk5CQoFTFSx6wqVQq5SWOpc7OTO3GO3funGKdnZ0dPvzww3SlI6NM38vWrVuzfLi0Vq1apWhikidPHqXaaLt27VI0hShVqhTs7e0RExODiIgIZbmpjXTz5s3NfoyZODg44N1334UQAsHBwSnWZ/X3nhbBwcG4e/cuHBwczKqEe3t7w9fXF3q93qxPghfZ2Nigffv2KZaXLVsWVapUgRBCuR9eZKnJSv78+dGsWTMAsLqftWropvxqrSmMqSp68v4QTJKSkrBhwwaMHj0affv2RZcuXdC5c2elo8jLly+bbb9z504Aci/wXl5eFj/Pmg8//DBFlX0bGxulza6llx/WmKrKJ38OHz9+HC4uLujQoQNsbW1x7NgxZZ0p372sin1G1KlTR2mylJwp/6bnvEzKlCkDPz+/FMsz+jfK9EKhefPmZkGoiaU+BjJj37590Ol0qFixIqpWrfrS7XPSeZ08eRKRkZFwd3c3C8ytiY2NVfqlsFRd3sHBQWnikvwedHBwUM71xX4jwsPDceTIEdja2irPheRiYmKwcuVKjBgxAn369FHuW1PTsBfv2+TS2pzlRel9VqTFtm3bAEB5cfuismXLwtPTE3fu3FH6+THda4cPH7bYPwnRm4pt5umtVbhwYSUoioiIwO3btyFJErRaLYoUKWK27dWrVwEAiYmJFgM50zpALnkwMZWgWuskyNPTE87OzhY7ATN58Q2ziam0avny5WZv9ZMzff6jR48AyKUezZs3x5YtW9C0aVNUr14d77zzDqpUqYKKFSumeCnQrl07zJs3D2vWrMG+fftQp04dVKlSBTVq1EjXmOmmdJQuXdriemdnZxQuXBghISG4fft2inO29lmmH2mxsbFpTgsgB5mxsbFwd3dPMdRY69at8eeff2L37t149uyZUpsiKioKT58+BWD9O7G2PKt17doV//zzD2bMmIF169ahdu3aqFq1KqpXr25WCpgRqV3rGzduoHjx4lbX379/H3FxcXBzcwPw/L7ZsWOH1U4FTS+Vkt83aUkLkP7vPS1MpfKm0rHkWrdujUuXLmHdunUWf5wD8g9KSy8uADl/nDhxQrkfkjO1CbW2HwCL+yVf/6KX3Xem/g2ePHmCmJgYJd33799Hnz59lHbmljx79sxs3vQS7sUS+bSwlqdMfQukp5PLatWqYfny5Th+/LjSXvratWto2LAhHBwcUL58eZw5cwZJSUmwtbVNc3v5jHhZ/s1I553W+k3I7N8oa3nIy8sLGo0my0rnTf3EpDWf5KTzMqW9fPnyKV4+WWKqCWdra2s1L5juzRfv7datW2PDhg3YuHEj+vfvryzfvHkz9Ho9GjdunKKA4OLFi/jkk0+Uv/eWvHjfmri5uVl86fEyGXlWpIXpe586dSpmzZplcRvTi+OHDx+iUKFCqFSpEipUqIAzZ86gfv36qFmzJqpVq4Zq1arBz8/PYn88RG8CBvP01npxnPnr16/j008/xfz585EnTx589tlnyrro6GgA8ltvU+dO1iTv7drUmd6LVaGTc3JySjWYt9QRnyktwPM/eqkxVbMH5A7wSpcujb///hsHDhxQSvvy5cuHjz/+GL1791Z+qHh4eGDFihWYOnUq9uzZg7Vr12Lt2rUA5OrOI0eOtNpRXHKmH62p/VjInz8/QkJCLAZoLwZVJmn5QWWJqdS9ZcuWKY4REBAALy8v3L59G5s3b0anTp3MzgGwfh7WOjbLar6+vli8eDECAwNx5MgRrFixAitWrIAkSahVqxa+/fbbDL9YsJbfTD+ErFW9NK1PXlPAdN+EhIQoVSCtsdRLfFZ/7y+TlJSEzZs3AzCvsWHSqlUrTJo0CefOncPNmzctBlap5QHTOkt53NXV1ep5pbYfYP06mfKstTQlXx4bG6sE8yNHjsStW7dQoUIFDBo0CL6+vnBxcYGNjQ30ej38/PxSBEGm51FGmppYy3Om65Ge2icvlswHBwdDCKG8tKtatSqCg4Nx9uxZVKxYESdPnoRGo0nTcyy9XpZ/M1KrxtoxM/o3ypRHTC/gLKXVzc0Njx8/TndaLUlvPslJ55XetJvu13z58lkNJE1Nzl68t2vVqgU3NzdcuXIF169fV4J+U62gF59PBoMBQ4YMwaNHj1CvXj3069cPpUuXRt68eaFWqxESEoKmTZtafXlhLV+9TEaeFWlhutYXLlx46bam3zcqlQpz5sxBUFAQ1q9fj507dyo1hjw9PTFw4MA01YYkym0YzBP9p3Tp0pgyZQo6dOiAGTNmoHXr1srbdNMfusqVKytDyqWF6UdqaiUwGS1dNKVpwYIFqFmzZpr3s7Ozw6BBgzBo0CDcuHEDwcHB2L17N/bu3YsJEyYAAPr27ats7+3tjWnTpiEpKQmnTp3C8ePH8e+//+L06dPo06cPNmzYYNZzb2ppTa2tsanUO7UXH1nhyZMnSpXGBQsWmLW5e9G6deuUYD75j53w8HCLzQVM55BWlgLg5FLLNxUrVsS8efMQGxuLkydP4ujRo9i4cSMOHDiA3r17Y+PGjdnea6/pmv3vf/+zWl0yJ9m1a5cydNHLRiZYt24dhg4dmmJ5annctM5SHo+MjITRaLQY0Ke2X2ocHR0RHR2Np0+fWiz9Tp5fTcd++PAhjh49CgcHB8yePTtFXxkvDqX14v7ZPfSTh4cHihcvjtDQUNy6dUupUm8K8t955x3MmjULx44dg42NDeLi4lChQoVX/tx51TL6N8q0X/LmMckZjcaXVlkWQlgMVi09v9KbT7LzvF6U3rSbtg8PD7d6jUzDz72Y/zQaDZo1a6bUvBsyZAjCwsJw8uRJODk5oUGDBmbbnz17FiEhIUr/JC+2Ybd232ZGRp8VaeHo6IioqChs27bNao0lS1xcXDBq1Ch8++23uHz5Mo4fP44dO3bg6NGj+Oabb+Do6IjmzZtnOF1EORHbzBMl4+/vjxYtWkCn02H69OnKctNb8Zs3b1oc29QaU9tRax043b9/P9VS+dSYSl7TUjKf2jE6duyIWbNmYcyYMQDkcWYtsbW1RfXq1TFw4EBs3LgRlStXRlxcXKrth01M18HacEAxMTHKH/70trdNr40bN8JgMMDW1hYFChSw+g+Q20ia2rXmzZtXKcm01K4/teXWmF72WAsA0zI0kJOTE+rUqYPhw4dj8+bNKF68OB4+fGjWOVx2VS803TeZyaPpkdnzNNXYcHJyspovTD9YN2zYYPElTFhYmNUXdKZqupbyuE6ns/p9p7Zfal523127dg2AXDqYvIo9IFfnfvHHOWD9WWb6rs+cOZOuNL4KpsA9ODgYwcHByJMnD3x9fQEAlSpVgo2NDY4dO6aU3qel7bZJTq2qm9m/UdaeXSEhIVY7aU3tJW10dLTFQDq9+SQ7zssaU7OUc+fOpSktxYsXh0qlQlJSktX+EUz3pqV7u3Xr1gCel8Zv3LgRQgg0btw4RQ0pUweifn5+KQJ5IGPt1l8mo8+KtDD9vjE9o9JLkiT4+vqiR48eWLRokdJUIXkniURvCgbzRC8wPfQ3bNig/IH08vJSxk/9559/0nysWrVqAZA7c7EUtK9ZsybD6TT16rtixQqLVZTTq2LFigCQans7E7VarXTilJbt69SpAwDYsmWLxWqNK1asQFJSEjw9Pa22Cc0qpoCtf//+OHjwoNV/pmq3yTvCM9WAWL58eYrjJiUlYfXq1elKi5ubG/LkyYOEhASLP1rS+8PDwcFBGV89+fdi+uGXvLnF62DqQG79+vVWS8iyUmbOMyIiQuk0a+bMmVbzxc6dO2FnZ4d79+5Z7LRPp9Nh1apVKZZfvXoVwcHBSlMIS0y9fCcXHh6OLVu2AIDV/aypXbs2AChjYr/or7/+MtsOeH4Nnz59avFlxdy5cy0ey/Rd79ixI00voV4lUzC/c+dOXLp0CVWqVFFqPDg6OqJcuXI4ffq00kHpi/1mpCa77qWXyejfKNN3v2XLFov3qKU8aWKqkXXu3LkU66w9u+rVqwcbGxucPn0aJ06ceGn6suO8rKlcuTLc3Nzw8OFDq/3UJOfk5KT8HTHda8klJCQo1yn5PWhSpUoVFClSBKGhoTh79qwS1L/Yiz3wPF+aSvqT0+l0WLRo0UvTm14ZfVYk39fabxfT75tFixZlSSevpj4a0vJ7hSi3YTBP9IKyZcuidu3a0Ov1Zn+Mhg8fDkmS8OOPP+Lvv/9O0Q7szp07mDlzptILKyAHfz4+PoiIiMDw4cPNquft2LEDs2fPho2NTYbS2aRJE1SsWBE3b97EgAEDUrRJTkpKwp49e/DNN98oyw4fPoxff/01RUldbGyscq7Je0qeMmUK/v777xTVCq9evaq0LS5XrtxL01qjRg0EBAQgKSkJX375pVn13gMHDiAoKAgA0K9fv1da8nXt2jVcvHgRAF7aG7GpVCT5sDq9evWCSqXC5s2bsWzZMuVHRlxcHL755pt0d/QjSZLyI278+PFmJbpr1661+nJgzJgx2LRpk9Ing8nx48dx+PBhAObfi+lH9/Xr11OtBp7VAgIC0KJFC0RGRqJPnz7KtTcxGAw4evQohg0bhqSkpEx/XmbOc9OmTdDpdChSpEiqwZ2zs7NSxdXSiAcajQaBgYFmPaY/ePBA6dm5adOmFqu8m4aSM91XgFz1/quvvkJiYiL8/f3NhrtLi86dO8PZ2RmXLl3Czz//rFxjo9GIOXPmYM+ePbCxsUHv3r2VfUqXLg0XFxc8ePAAM2fOVPJ4YmIi/ve//6X4Dk38/f3RpEkTJCYmol+/fjh79qzZ+pCQEMybNy9d6c8oUzC/Z88eGI3GFJ3bVatWDfHx8Th06BBUKlWKYTpTky9fPjg5OeHp06dKjYmcIiN/o959912UK1cO8fHx+Prrr82eYZs2bcKyZcssjpYCQBlW7vfffzcLIvft24fp06dbHWXFNLrCoEGDUozQ8PDhQ+XvQXadlzV2dnZKXzpjxoxRSspNnj17hoULF5o9e/r16wcAWLZsmdnfkpiYGHz99dcIDw+Hp6enxQBdkiRldJXAwEBcunQJbm5uFl/qVahQARqNBidPnjR76REdHY3hw4dbDPIzK6PPCuB555DJn5PJdezYEcWKFcPRo0cxfPjwFEF4bGwsNm3ahF9++UVZtn79ekyfPj3FKCcRERHKy5S0/F4hym3YZp7Igo8//hgHDhzA6tWr8dlnn6FgwYKoV68evvvuO4wbNw6jR4/GL7/8Ai8vL0iShAcPHih/LMeOHascR6VSYcKECejevTt2796NunXrKuMg37t3D927d8euXbtw7969FGPDvoxKpUJgYCA++eQTHDp0CE2bNkWJEiXg6uqK2NhYpRph8jHdY2NjMX/+fMyfPx/58uVDkSJFoNfrERISgvj4eOTJk8cs+L927RpmzZqF77//HsWKFYOLiwuePXumvDioXr16moazkSQJv/32G3r06IFjx46hfv36KFOmDGJiYpRjffDBB0r79FfFFHxVqlTppe3w3nvvPfzyyy+4ffs2Tp8+jYoVK8Lf3x9DhgzB5MmTMXbsWMyYMQPu7u64desWdDodPvvsM0ydOjVdaRo0aBD27t2LAwcOoHbt2ihZsiQePXqEx48fY+zYsWb5yeT06dNYvnw5NBoNSpQooQQXppok77//vlngly9fPtSoUQNHjhxB48aNUbp0adjZ2aFAgQKYMmVKutKbXuPGjUNUVBQOHjyItm3bokiRIihYsCDi4+MRGhqqlHCaxiTOjMycpylvtG7d+qUvlN5//31s2bIFW7ZswXfffaeM8w3IecvJyQndu3eHl5cXHB0dcfXqVej1ehQrVkwZ7/lFHh4eqFu3LoYMGaKMP339+nUkJCTA1dUVEyZMSPeLLg8PD0yYMAGDBw/Gn3/+iX/++QfFixfH/fv38fTpU6hUKnz33XcoW7asso+NjQ0GDx6MH3/8EVOnTsXSpUvh4eGB27dvIzY2Fj/99BNGjx5t8fPGjRuHJ0+e4NSpU+jQoQM8PT3h5uamPB89PT3N+uN4VYoWLYoiRYoo1YBffDnzzjvvYO7cuRBCoFy5chaHDbVGkiQ0b94cq1evRtu2bVGmTBmlurml0tfXKSN/oyRJwoQJE9CtWzfs27cPdevWRenSpZW/UV26dMHevXuVZ0tyffv2xbp163Dp0iU0aNAA3t7eiIqKwr1799C/f3/8+++/FvcbNmwY7ty5g507d6Jv375wd3eHh4cHHj9+jIcPH0IIgYEDB2bbeaWme/fuuHnzJpYtW4Zhw4bhf//7H4oWLYrw8HA8ePAABoMBjRs3VjpJbdCgAfr374/Zs2dj+PDh+O2335A/f37cvHkTcXFxcHFxwe+//261Y9HWrVtj7ty5SrOp5s2bW3wJUbBgQfTo0QPz58/HiBEjMHXqVLi5ueHGjRswGAwYNWqUxb8lmZGZZ0WLFi2wZ88ejB07FkuXLlWq6X/77bfw9fWFk5MT/vjjD/Tv3x8bN27Epk2bULJkSTg7O+PZs2e4c+cODAaD2agI4eHhmDZtGqZNmwYPDw+4u7sjMTFR+fvs4eGBwYMHZ+k1IMoJWDJPZMG7774Lf39/JCYmmnWQZhoSrEOHDsiXLx+uX7+OkJAQuLm5oVWrVpg6dWqKceHLli2L1atXo2XLlrCzs8O1a9fg5OSE77//HqNHj1Y6CcpIB0zu7u5YsWIFxowZg2rVqiEyMhIXL15EbGwsypcvj0GDBplVr6tSpQpGjx6NBg0awNHRETdu3MC9e/dQvHhxfPzxx9i8ebNZyfynn36K/v37K+PVX7p0CQkJCXjnnXfw66+/Yv78+Wku3ShRogTWrl2LPn36oEiRIrh27RqePn2KatWqYcKECfj1119faam80WhUSkZMpe6pcXNzU0rNk5fAfvLJJ5g2bRoqVKiAqKgo3LlzB1WrVsXSpUvTVcJn4u3tjSVLlqBOnTqQJAm3bt1C0aJFMWvWLKtDMX3zzTfo0aOHUuvj0qVLAOSqmjNnzlQ6Mkzut99+Q7t27eDs7IwLFy7g2LFjr6V9s5OTE+bOnYtJkyahdu3aiI+Px8WLFxEREQEfHx/069cPf//9t1lAnBkZOc/bt28r26Rl/Oi6devC1dUV0dHR2LVrl9k6SZIQFBSEQYMGQQiB69evw83NDZ07d8bKlSstdpxoMmbMGIwaNQpOTk64du0aHBwc0Lp1a6xZsybDoxM0atQIa9asQevWrWFra4vLly9DCIEmTZpg6dKl6NixY4p9unbtiokTJ8LX1xeRkZEIDQ2Fv78/Zs+enWpHhi4uLvjrr7/w/fffo3LlyoiKisK1a9dgb2+PZs2aWX2R8SqY2sGbqtUnV6VKFeXlaXray5uMGjUKPXr0QIECBXDlyhUcO3bMagnj65aRv1FlypTBqlWr0KpVK9jb2yt/o7777jt8//33Vj8rX758WLZsGZo3bw4HBwfcunULLi4u+OWXXzBs2DCr+9na2mL69OmYNGkS3n33XSQlJeHy5ctQqVSoV68efv3112w9r9RIkoSxY8di9uzZaNCgASRJwuXLl6HX61GtWjWMGTMG7u7uZvsMGzYMs2bNQq1atRAXF4crV67Azc0NnTp1wrp161C+fHmrn1e2bFmzoSUtjbJh8vXXX+Pbb79FqVKl8PjxY9y/fx/vvvuu8vflVcjos6JNmzYYNWoUfHx8EBoaqtxDyWsBent7Y926dRg2bBgCAgLw8OFDXLp0CTqdDtWqVcOIESMwefJkZftmzZph+PDhqFWrFtRqNa5evYpHjx5Bq9ViyJAh2LhxY4phh4neBJLIisYoRJQhERERqFGjBvLmzat0xkRvnjt37qBx48YoXrw4tm/fnt3JoVfg6NGj6NGjB9555510ldDevXsXjRo1gqenZ4oXA0RERESpYck8UTYydYD3KsY4ppzDVNqQ3UPFEREREdGbg8E80St25coVrFixwqxzMyEE1q1bp7SvftVtxSl7mTpmSt42mYiIiIgoM9gBHtErFhkZie+//x4//PADihQpAldXV9y5cweRkZEA5F5bGzZsmL2JpFdi1qxZWLNmDUJCQqBSqfDRRx9ld5KIiIiI6A2R5mD+dYwRTJaZehCn3KlAgQLo1q0bjh07hocPH+L+/ftwcnJC1apV8cEHH6BJkyaZur+YP3KuK1eu4P79+9Bqtejbty+KFy+eLc9S5pFXLzo6GoA8pnN6vmPT92IwGLLt7yzzB70M8wilhvmDXoZ5JGPc3Nxeuk2aO8BjMJ993NzceP3JKuYPehnmEUoN8we9DPMIpYb5g16GeSRj0hLMs808ERERERERUS7DYJ6IiIiIiIgol2EwT0RERERERJTLMJgnIiIiIiIiymUYzBMRERERERHlMgzmiYiIiIiIiHIZBvNEREREREREuQyDeSIiIiIiIqJchsE8ERERERERUS7DYJ6IiIiIiIgol2EwT0RERERERJTLMJgnIiIiIiIiymUYzBMRERERERHlMgzmiYiIiIiIiHIZBvNEREREREREuYwmuxNARESUWwghcP8+cOEScOuWwJMnQGycvM7BHsiXDyheTIJWC5T2BtRqKXsTTERERG8sBvNEREQvcfOmwL9bBPYfAO7ff9nWAgCQJw/wTlWBxo0k1KgO2NgwsCciIqKsw2CeiIjIAiEEgk8AC/4UOHsu5Xq1CnDLB+Rxludj44DwcECvl+ejo4Gdu4GduwXyuQEd2gNt3gfy5GFQT0RERJnHYJ6IiOgFN24K/D5N4NRp8+XlA4DatSRUqgh4lwJsbc0Dc71e4M5d4MIF4FiwwOHDQHwCEB4B/DFHYPkKoF9foHUrVsEnIiKizGEwT0RE9J/ERIF5CwVWrAAMRnmZvb1cot72AwmenqkH4BqNhJJeQEkvoFVLCfHxArv3AMtXCty8BTyLAiZNEfhnPTB4EFCpIgN6IiIiyhgG80RERABu3hL4/geB27fleZUKaPsB0KunBDfXjAXdDg4S3msBtGgO7NoDzJgl8PAhcP0GMGiIQNs2AgM/lWBnx6CeiIiI0odD0xER0Vtvz16BTz59Hsj7aIH5cyQMHazKcCCfnCRJaNRAwpI/JfTtLcHOTl6+9h+g/6cCt0NEpj+DiIiI3i4M5omI6K1lMAj8MdeI0WME4hPkZT27A3/MkFDaO+tLy+3tJfTuKeGvhRL8ysnLbtwE+vYX+HczA3oiIiJKOwbzRET0VkpMFPj2O4G/FsvzTk7A+J8l9Ourgkbzaqu9FyksYfo0Cd27ApIEJCYCv/wq8HugEXo9g3oiIiJ6OQbzRET01omLE/hqpMDBQ/J8ieLAnJkSatd8fW3XNRoJn/RTYcokCa6u8rJVq4GvRgpERTOgJyIiotQxmCciordKVLTAkGECJ0/J85UqArNnSihePHs6oataRcLcWRK8veX548HAJ58J3L3LgJ6IiIisYzBPRERvjYhIgS+GCFy8JM+/WwOY9KsEJ6fs7U2+UCEJMwMl1Kklz9+5AwwYKHD5CgN6IiIisozBPBERvRWiogW+HC5w/YY836A+8PNPOWdYOEdHCeN+ktC1szwfGSkPX3c8mAE9ERERpcRgnoiI3nhxcQJfjRC4dl2eb9YUGDNago1NzgjkTVQqCZ9+osKQLyRIEhAfL7eh376TAT0RERGZYzBPRERvtMREgZGjBC5clOfr1wW++Vp65T3WZ0b7dhLGfi9BowH0euCHnwRW/s2AnoiIiJ5jME9ERG8svV7guzHPO7urUR0Y813ODuRNGjWQ8NsECY6O8vy06QIz/jBCCAb1RERExGCeiIjeUEIITJ4qcOiIPF+pIjDux5xXtT41VSpLCJoqIZ+bPL90GTBuvOBY9ERERMRgnoiI3kyLlwLrN8jTZUoDv/6cczq7Sw9tGQkzp0so6inPb9kKfDtaICGBAT0REdHbjME8ERG9cbbvFPhjjhzsursDE8dLcHTMfYG8iWcRCTODJPho5flDR4BhXwtERzOgJyIielsxmCciojfKmbMCP4+Xg1wnJ2DSeAkFCuTeQN7EzU1C4O8SKleS58+cBb4YKhAezoCeiIjobcRgnoiI3hgPHgiM+l5ApwPUarmNfKlSuT+QN3F0lDBxvIQ6teX5a9eBzwYJhIUxoCciInrbMJgnIqI3Qny8wDejBSIj5fmvvpRQtcqbE8ib2NlJ+GmshPeay/N378kB/a3bDOiJiIjeJgzmiYgo1xNC4OdfBa5dl+fbtwNatXzzAnkTjUbCyK8ldPxInn/8BPj8C4GLlxjQExERvS0YzBMRUa731xJg9x55unIlYOBnb24gb6JSSRj4qYT+H8vnGhUFDB4qEHyCAT0REdHbgME8ERHlagcOCcyZJwewhQsDP42VoNG8+cE8AEiShB7dJAwbKkGSgPgE4KuRAnv3MaAnIiJ60zGYJyKiXOvWbYEf/ycgBOBgD4wfJ8HF5e0I5JNr+4GEMaMlqNWATgd8N1Zg4yYG9ERERG8yBvNERJQrxcYKfPudQFycPD96lATvN6jn+vRq3EjCrz9LsLMDjEZg/ASBpcsZ0BMREb2pGMwTEVGuI4TAhEkCd+7I8717AvXqvL2BvEmN6hKmTJLg7CzPz5gl8MccI4RgUE9ERPSmYTBPRES5ztp1wM7d8vQ71YDePRnIm5QPkBA0VUI+N3n+ryXAxMkCBgMDeiIiojcJg3kiIspVLl8RCJwuB6YFCgDfjZKgUjGYT660t4SZQRIKF5bn128Axv4koNMxoCciInpTMJgnIqJcIzpa4LuxAjodoFYBP3wvwc2Vgbwlnp4SZgZKKOklz+/eA4weI6DXM6AnIiJ6EzCYJyKiXOO33wXCwuTp/v0kVCjPQD41BQpImD5Ngl85ef7gIWDceAGjkQE9ERFRbsdgnoiIcoVt2wV27JSnq78DdO6YvenJLfLmlTB5ogQfrTy/fQcw+XfBTvGIiIhyOQbzRESU4z14IPDb73Lw6eoCfDuC7eTTw8lJwm8TJHiVkOf/WQ/Mms1gnoiIKDdjME9ERDmawSDw088CsbHy/MivJeTPz0A+vVxd5WHrTJ3iLVkGrF7LgJ6IiCi3YjBPREQ52tLlwJmz8vT7rYHatRjIZ1TBghJ+/+35sHVTAwX2H0zK3kQRERFRhjCYJyKiHOvyZYG58+XS42LFgEGfMZDPLM8iEsb/LMHWFjAagWFfxeDmTZbQExER5TYM5omIKEeKjxf4YZyAwQCo1cCYURIcHBjMZ4VyvhJGfytfy9hYga+/EQgPZ0BPRESUmzCYJyKiHGnmHwJ37sjTfXpJKFuWgXxWalhfQr++8jV98JBj0BMREeU2DOaJiCjHOXdeYO06eTrAH+jWJXvT86bq0Q14v5UtAODsOShNGoiIiCjnYzBPREQ5SlKSwK+TBIQAbG2Ab0ZIUKtZKv8qSJKE70c7o1RJeX7xUuDwEQb0REREuQGDeSIiylGWLANu35ane/aQULwYA/lXycFBwk9jJTjYy/M//Szw4CEDeiIiopyOwTwREeUYt0MEFi2WA8lSJYEunbI5QW+JEiUkfDVcfmkSFQWM/ZHt54mIiHI6BvNERJQjGI0CEyYJ6HSAJAEjvpJgY8NS+delaWMJ77eWp89fABYtzt70EBERUeo02Z0AIiIiAFi/Ue6EDQA+bAv4lWMgb82zZ8+wf/9+HD9+HFeuXMGDBw9gMBjg6uoKX19fvPfee6hfv366jzt4oIRz5wRu3QYWLjJCo96FM6e34MqVK4iMjIRGo4G7uzsqVKiADz/8EGXLls3ycyMiIqK0kYQQaapHFxER8arTQla4ubnx+pNVzB/0Mrkhjzx5ItC1p0BsLODuDixeKMHRkcG8NbVq1YLBYFDm7ezsoFKpEB8fryx799138csvv8De3j7VY72YPy5fEej/aQJ0Cd9CGA8ryx0dHaHT6aDT6QAAKpUKn3/+Obp27ZpVp0U5VG54hlD2Yf6gl2EeyRg3N7eXbsNq9kRElO0mT5UDeQAYNoSB/MsYDAYEBARg5MiRWLNmDfbu3Yvdu3djzZo1aN1arit/+PBh/PLLL+k+dlkfCX5l/1QC+bJl22H9+vXYtWsX9u7di4ULF6JChQowGo0ICgrCxYsXs/TciIiIKG0YzBMRUbbau19g3355umEDoFZNBvIvM336dMyZMwdt2rRBkSJFlOVFihTBqFGj0LZtWwDA1q1b8eDBg3Qf/0HYVgCApKqMm6HD8ehxQQByaXzZsmXx22+/wdHREUII7N69OwvOiIiIiNKLbeaJiChLfPrppzh16hT69u2LPn36YOXKldi8eTPu3LkDe3t7BAQEoF+/fihTpgwAICEhAQsXLsVfi7fDoA+DJNkiPqYa7t79FEWLFrX4GQaDAZs3b8b27dtx9epVREdHw9nZGT4+PmjVqhUaN24MSUr5MiAiIgKHDh3CoUOHcOvWLTx69Ag6nQ758uVDhQoV8NFHH6FcuXIWP3POnDmYN28eKlWqhJkzZ+L48eNYtmwZLl68iLi4OBQuXBhNmjRB9+7dYWdnl3UXNBVVqlRJdX3r1q2xdu1aAMDly5dRqFChdB3/6dOnAACV2gdGI/DLrwIL5gK2tvK1dXZ2RrFixXDlyhUkJCRk4AyIiIgosxjMExFRltLr9Rg6dCiOHTsGGxsbaDQaREREYN++fQgODsb06dNRpEgRDBo0CFevXgVgC0CCEFHYv38nzp8/iQULFqQIQJ8+fYqvv/4aFy5cUJY5OzsjMjISR48exdGjR7Ft2zb8/PPPsLGxMds3MDAQmzZtUuYdHR1hMBgQFhaGsLAwbNu2DV9++SXat2+f6rktXrwY06dPVz5bp9MhJCQEc+fOxalTpzBt2jSo1erMXcAsYGtrq0wbjcZ07+/p6Ylbt26hkPtVPHwKhIQCS5cDvXrI62NjY3Hnzh0AgK+vb5akmYiIiNKH1eyJiChLrVmzBleuXMHPP/+M3bt3Y9euXViwYAE8PT0RFxeHyZMn4+eff8bTp9FQ2UyB2m4XqlbfiWnTpimd5MyaNcvsmDqdDl999RUuXLgAHx8fTJ48GXv27MGOHTuwe/dufP/993Bzc8P+/fuVYDu5IkWKoFevXvjzzz+xc+dO7Nq1C/v378fKlSvRrl07GI1GTJky5b+XC5Zdv34dM2bMQLdu3bBp0yZs374dO3bsQN++fQEAJ06cMHthkJ1OnTqlTHt7e6d7f9NLjXv3TsDZYTKEeIxFfwmEhBpx5coVDB8+HHFxcQgICECzZs2yLN1ERESUduzNPhdgD5CUGuYPepnXlUdM1ewBYNasWahYsaLZ+uDgYAwcOBCAXHJcqMhi3H9QFLY2wJ8LJBQrKmHDhg0YN24c7OzssHPnTmg0cgWyVatWYdKkSShVqhTmzJkDJyenFJ9/+fJl9O7dGxqNBuvWrUO+fPnSnPZff/0Va9euxfvvv49vv/3WbJ2pmj0A9OrVCwMGDEix/5AhQ3DkyBFUq1YNgYGBZutOnDiBzz//PM1pedHo0aPRqlWrNG8fExODzp074/Hjx6hYsWKKFyMvspQ/hBCYPXs2Fi1alKzXfEdIkg5C6FCgQAG0bNkSffr0eW1NCyj78O8MpYb5g16GeSRj2Js9ERG9dhUqVEgRyANApUqVlOrfxUs0wP0Hcrv43r3kQB4AqlevDgBITExUqnEDwPr16wEA7dq1sxjIA0DZsmVRqlQp6HQ6nDhxIl1prlOnDgDgzJkzVrexsbFB9+7dLa4zjel+/fp1i/vly5cvw//SEywbjUaMGTMGjx8/hq2tLYYNG5bmfZOTJAn9+/fH6NGj4ejo+N/SOAghD0uXmJiI2NhYtpcnIiLKRmwzT0REWcpaG2q1Wg0XFxc8fvwYt0N8ARXg7Q107vh8m+Sl6VFRUQDk9tmmIHn27NmYP3++1c827WOpB/cbN25g7dq1OHPmDO7fv4/4+PgU7ckfPXpk9dglS5a0+iLB3d3d7POTK1++/Gurfv/bb7/h4MGDAICvvvpK6WwwvSIjI/Htt9/i5MmTeOedd9C5cx+MG18KEZGJcLA/j7zOM7Bq1SocOXIEM2fORMGCBbPyNIiIiCgNGMwTEVGWshbwAlA6hzManaBWAyOGS9Bonvc+b6pWD8gd6QFyx3emoNtSsGzJiyXGq1evxuTJk5NVGZc7sLOxsYEkSdDr9YiKikJ8fHyGzstUep78+K/b1KlTsXr1agDAl19+qYw3nxE//PADTp48iUqVKmHq1KmQJAlDBwuM+dEZCYn1UL9eAGJiuuLu3buYMWMGxowZk1WnQURERGnEYJ6IiF6buGSxcvt2QDnfl48pn7z0fO7cufD390/XZ96+fVsJ5OvVq4fu3btDq9Wa9fh+/PhxDBo0KF3HzUkCAwOxbNkyAHL7/Y8++ijDx7p16xYOHz4MAOjSpYsy1F/DBsCGf4HgE8DW7fnQqF4LbNmyXOmA0NKQgERERPTqMJgnIqLX4vFjgehoeTqvC9Cvb9qCv+RV72/cuJHuYH7Xrl0wGAwoUaIEfv75Z4tDxz158iRdx0yPs2fPYuTIkRnef+jQoWjSpInV9YGBgViyZAkAYPDgwejUqVOGPwuQg3mTokWLKtOSJGHwIKBXHwGDEbh4uRgAuRZEeHg48ufPn6nPJSIiovRhME9ERK+cEAKTfxcQ/xWyt2gqwdExbcF83rx5UbJkSdy6dQvbt2/HBx98kK7PfvjwIQCgTJkyVseAP378eLqOmR46nQ7h4eEZ3j8xMdHqumnTpmHp0qUAgC+++AKdO3fO8OeYqFTP+8YNCwtDyZIllfmSXhLatRX4ezVw9+7zc3reSR4RERG9LgzmiYjoldu7D9h/8Pl8eoc+b9OmDaZMmYLg4GBs37491ZLqZ8+ewcXFRZl3dnYGANy8eRNCiBTVwS9fvozt27enL0HpUKVKFRw5ciTLj5s8kB88eHCWBPIA4OPjo0yvWbMGNWvWNFvfp5eEbdvj8PTxZgBAqVKl4eDgkCWfTURERGnHoemIiOiVio4WmDJVAABUGfyr07ZtW/j5+QEAxo4di1mzZikl7oBc1fvEiROYNGkS2rdvb7bvu+++C0AO5n/99VdERkYCkEu8t2zZgsGDB+e6kuWgoCAlkB8yZEi6A/k5c+agRo0aqFGjBu7evWu2rnDhwqhduzYA4MCBAxg7dizu3r0LIQT0ej1u3ToHW/VAQNwHABQtljUvEYiIiCh9WDJPRESv1MzZAk//q5GdJw/w7Fn6j2Fra4vffvsNo0ePRnBwMBYuXIiFCxfCyckJKpUKMTExEEJ+YfBiVfqqVauiWbNm2Lp1K/755x/8888/yJMnD+Li4mAwGFC0aFH0798f33//fWZP9bV48OABFi9eDECuEr9o0SIsWrTI6vZdu3ZF165d0/UZo0ePxpAhQ3D58mVs2bIFW7Zsgb29PXQ6nVmP/ZK6C4JPtcDDRwIe7uwAj4iI6HViME9ERK/MyVMC6zfI01UqAyE3MxbMA4CrqysCAwOxf/9+bNmyBRcuXEBERAQAoGDBgvD29katWrVQt27dFPuOGTMG/v7+2LBhA0JCQmAwGODl5YV69eqha9euuHz5ckZP8bVL3ru/0Wh8aXv8uLi4dH+Gq6sr5s6di02bNmHXrl24evUqoqKioNFoUKhQIQQEBCAgoA2mBJZHUhIwZ57A6G8YzBMREb1OkjAVZbyE6QcTvX5ubm68/mQV8we9THblkfh4gZ59Be7fB+zsgEXzJXh6MuDLaTKTP779zoh9+wFJAub+IcFHy+/3TcS/M5Qa5g96GeaRjHFzc3vpNmwzT0REr8Tc+XIgDwD9P2Yg/yYa0F+CWg0IAUyfKZDG8gEiIiLKAgzmiYgoy52/ILBylTztVw5o3y5700OvRvFiEtr+N1LgyVPAocPZmx4iIqK3CYN5IiLKUklJAuMnCAgB2NgAI7+WoFazVP5N1auHBCcneXrGLAG9nqXzRERErwODeSIiylJ//iVwO0Se7tldQkkvBvJvMldXCT26yd9xSCiw8d9sThAREdFbgsE8ERFlmWvXBRbLw5+jTGmgW5fsTQ+9Hu3bAR4e8vS8hQKxsSydJyIietUYzBMRUZbQ6wV+mSBgMABqFfDNCAkaDUvl3wZ2dhI+6Sd/1xERwJJlDOaJiIheNQbzRESUJRYuErh6VZ7u0hnQlmEg/zZp3BAo6yNPL18JPHrEgJ6IiOhVYjBPRESZdv6CwKLF8rR3KblTNHq7qFQSBn4mf+9JScDseQzmiYiIXiUG80RElClxcQI/jRMwGuXe678bJcHOjsH826hiBQl1asvTW7cBV64yoCciInpVGMwTEVGmBM0UuHdfnu7XV0Jpbwbyb7NPP5GgVgNCANNnCgjBgJ6IiOhVYDBPREQZdvCQwPoN8nTFCkDHDtmbHsp+xYtJaPO+PH3yFHD4SPamh4iI6E3FYJ6IiDLkyROBX36VS10dHYHR30hQq1kqT0CvnhKcnOTpGX8I6PUsnSciIspqDOaJiCjdDAaBH8cJRD6T54cPlVCoEAN5krm5SujWRc4Pt28Dm7Zkb3qIiIjeRAzmiYgo3RYvlatQA0CLZkDTJgzkydxH7QH3gvL03HkCcXEsnSciIspKDOaJiChdzp0XmL9ADsyKFQOGDmYgTynZ2Uno97GcN8IjgGUrGMwTERFlJQbzRESUZlFRAmN/EjD8NwzdD99LcHRkME+WNWsClCktTy9bATx5yoCeiIgoqzCYJyKiNDEa5XbyDx/K859+IkFbhoE8WadSSfj8UzmPJCQA8xYwmCciIsoqDOaJiChNFi0GjhyVp+vVBTp8mL3podyhahUJNarL0/9uAm7eYkBPRESUFRjMExHRSx07LpRS1aJFgW++liBJLJWntPnsEwkqFWA0AjP/YDBPRESUFRjMExFRqh48FPjhJwEhADs7YNyPEpydGchT2pUqJaFlC3n68BEg+AQDeiIiosxiME9ERFYlJQl8N1bgWZQ8/9UwCd6lGMhT+vXtI8HeXp6eMUvAaGRAT0RElBkM5omIyKqgGQKXLsnTbd4HmjdlIE8ZUyC/hM4d5emr14BtO7I3PZQ2UkQIDEfmQooMze6kEBHRCxjMExGRRdt2CKz5R54u6wN8MZCBPGVO544S8rnJ07PnCiQksHQ+p9Nc3wERegKaa9uzOylERPQCBvNERJTCzVsCEybJgVbevMD/fpBga8tgnjLH0VHCx33lfPTokTz2POVw+gTz/4mIKMdgME9ERGbi4gRGfy+QkABIEvD9KAmFCjGQp6zRsgXg7S1PL1km8OgRS+eJiIgygsE8EREphBAYP1Eg9I4836sHUKM6A3nKOmq1hMH/NdlISAD+mMNgnoiIKCMYzBMRkWLNWmDXbnm6WlWgVw8G8pT1KleSULeOPL11O3D+AgN6IiKi9GIwT0REAIALFwUCZ8hBVcECwPejJajVDObp1fh8gAQbG3l6WpCAEAzoiYiI0oPBPBER4dkzge9/ENDrAbUa+HGsBDdXBvL06nh6SujQXp6+eAnYzqHqiIiI0oXBPBHRW85oFPjpZ4GHD+X5zwZICPBnIE+vXs9uz4eqm/mHQHw8S+eJiIjSisE8EdFbbvFS4MhRebpeXeCj9tmbHnp7ODlJ6P+x/OLo8RNg6XIG80RERGnFYJ6I6C126rTA3PlyAFXUE/jmawmSxFJ5en1aNAfKlJanly4HHnKoOiIiojRhME9E9JaKjpar1xuNgK0t8NMPEpydGcjT66VWSxg8SM53iYlydXsiIiJ6OQbzRERvqclTBR49kqc//1RCmdIM5Cl7VKwgoX49eXrHTuDceQb0REREL8NgnojoLbRth1B6D69RHWjXJluTQ4TPBkiwTTZUndHIgJ6IiCg1DOaJiN4yDx4KTJ4iB0quLmwnTzlDkcISOn4kT1+6DGzdnr3pISIiyukYzBMRvUWMRoGfxwvExMrzXw+XkD8/A3nKGbp3lZA/vzw9a7ZAXBxL54mIiKxhME9E9BbZ8C9w8pQ83eo9oG4dBvKUczg6ShjQT86TT58Cfy1lME9ERGQNg3kiorfEk6cCM2fJwZF7QeCLgQzkKedp1hTwLStPr1gB3A9jQE9ERGQJg3kiorfE71OfV6//cqgER0cG85TzqFTPh6pL0gEzZjKYJyIisoTBPBHRW2DffoE9++TpBvWB2jUZyFPO5e8noUljeXrPPuDkKQb0REREL2IwT0T0houONmLyVDkYcnYGhgxiIE8536f9Jdjby9NTgwQMBgb0REREyTGYJyJ6wwXNjMeTJ/L05wPYez3lDu7uErp2lvPqjRty541ERET0HIN5IqI3WGiowPIVCQCACuWBVi2zOUFE6dC5I+DhIU/PnScQHc3SeSIiIhMG80REb7DpswT0ekCS5N7rJYml8pR72NtL+OwTOc9GPgMWLmIwT0REZMJgnojoDRV8QuDgIXm6eVPAR8tAnnKfhg2A8gHy9Ko1cm0TIiIiYjBPRPRGMhgEAmfIQY+DPfBJPwbylDtJkjxUnSQBBgOUfE1ERPS2YzBPRPQG2rRZ7jQMAPr0dkCBAgzmKffy0Up4r4U8ffgIcPgoA3oiIiIG80REb5j4eIE58+Rgp2ABoHdPh2xOEVHm9e8rwdFRng6aLqDXM6AnIqK3G4N5IqI3zJp/gPAIebp/PwkODiyVp9wvf34JPbvLeTkkVM7nREREbzMG80REb5C4OIFly+USS68SQNPG2ZwgoizU4UPAs4g8PX+hQGQkS+eJiOjtxWCeiOgNsnqtPIQXAPTqIUGtZqk8vTlsbSUM/EzO0zExwNwFDOaJiOjtxWCeiOgNERcnsGzFf6XyXkCD+tmZGqJXo3YtoGoVeXr9BuD6DQb0RET0dmIwT0T0hli1BoiKkqd792SpPL2ZJEnCF59LUKkAoxEImiEgBAN6IiJ6+zCYJyJ6A8TGPi+VL1USaFAvmxNE9AqVKiXh/dbydPAJ4Oix7E0PERFRdmAwT0T0Bli9FoiOlqd795SgUrFUnt5sfXs9H6puxiwBg4Gl80RE9HZhME9ElMslJgr8vfp5qXy9utmcIKLXwM1NQtfO8kurm7eAzVuzOUFERESvGYN5IqJcbvNWIOK/ceW7dmapPL09OnYAChaQp+fME4iPZ+k8ERG9PRjMExHlYgaDwPKVcgDj7g40apjNCSJ6jeztJXzcV3559fQpsOLvbE4QERHRa6TJ7gQQEb1pVPdPweb8Gqjvn4IU8wAwJEHYu8Ho4Qe9thn0vq0Byfq7VOfJvmn+rDC3prh7dwoA4KP2EjSatJfKS8/uQnNjN1SPLkD15Bqk+AhI8ZGAUQ/YOMKYtwiM7r7Qa5vBUNJK3X1hhObMcthc+Aeq8BuAUQ+Rtwj03g2R9E5/wN7F8n7xEXBa8B6khEjoveogod3sNKf7dZFin0B9YyfUD85D9eQqpLgn8vUxJAE2DjA6e8BYsCwM3g2hL9MUUKkz/FmaC2thv/XbNG8f32YGDKUaZPjzXjlhhMPfvaC+e9xssTFvEcR9vDNDh7Q9FATbI9NTLO8IoOP7/808ATDZfH18hz9hKPbO8wUJUbA9NhuaGzshRd0HVBoY85WC3q8NdBU6W7031aFH4bCqFwAgsc4w6Kp9nKHzICIiyioM5omIsoo+CXY7vofNxXUpVkmxj6C6+Qiam7thOLkICW1mQji7Z/oj79yRS+WdnYD3W6VvX82VzbA7MNnyysRnUD9+BvXjS7C5sAb6YjWQ0HoqYJ/3+TbCCPv1X0Bzwzw4kyJuwzZ4PjTXdiCu8zLAMV+Kw9vt+QVSQiSExgGJjcakL+GvifrOUdjvGGt5ZWI01InRUD+9DpvLG2EoWBYJbWZA5Cn8WtOYU9kcn5cikM8JpLincFjWBapnoc8XGpKgfnhe/hdyGAnvT0sZ0OsTYbdDzqeGgmWhq9Lr9SWaiIjIClazJyLKInZbRlgM5F+kfnQRDiu6A0mxmf7MZ/+NK9/mA8DR8dW1ldfcOQK73ePMl13ZrATyRpdiiOuyErF9d0BfojYAQPUsFHaHpqU4ljrkIGwubQAAJNUcBOHi+crS/bqoH1+G/aavsjsZOYLq0UXYHg7M7mQojMleJtkeClQCeX3JuojtuwNxXVbCmFfOg5obO6G5uiXFMWyPzIQqMgRCUiGx8Q+AimUhRESU/fjXiIgoC6hDD8PmhSBAX7wGkqp/Cji4QXX/FOz2TYSUFANADnRt9/+GpEbfp3pcQ6HySGhpufR8wiQj9p11gI0N0P7DDATyGnvoverAUKImjPm8IZwKQGjsoIq6D8351SnOR3N1MxKb/gSobeVzvrlHWZdUrS+MhQIAAIn1R0LzZ6sU2wAAdAmw2/GDfG7uvtBV7pH+dGch1eMr0FxaD+HglqLatFDbwFC0GvRetWEsoIVwKghh4whV7GNorm6GzZnlZtur752A9OxelrycSKz7FfRlmlldLxzzZ/ozlGOF34bNkcWQkmKRVO/rzB1MlwD7TV9DMujkY6vtIBkSsyCVQFLlHtD5tbW6PiRED49/uyK/3VNlmb5YdYj8pZV59Y3dynRivZEQLp4QLp5IqtYX9jt//G+bPdD7vKdsp3pyFTbB8+XTq9AFxsLls+R8iIiIMovBPBFRFtBcNR8XS2jskdB6GmCXBwBgLFAGUsIzs2rtNhfWIqnWYOvtygFAY2cxOLxzV2DdfrmKfcv3gAL50x/M6yp3h65y9xTLDflKweBVG6rlj6C+f1JZLhl0kBKiIJzk7sOluOdBk8j7PI3CpdjzfeLCzY5te2Q6VM/uQEhqJDb5KVPtzDNKin4AzeWN0FzaAPWTqwCApEoWrkOZpogv0zTl8nwl5TbYiTGwubzR/NhxT7IkmBcObq+2xkJ8BDRXNsPm0gbow07DDoDeu1GmD2u7b4LcdwIAg0cAjG5esLm8IdPHBQDY54VI3szjBaVs/4V9skAeAHRV+5jNS/HP86PVPBuf7BhCwG77GEhGHYzOhZBUe0gGE09ERJT1GMwTEWUBKeq+2bzIU1gJ5E2MBX3M99EnQHNrP/S+1hu7qx5fheP85pCiHwCSBOGYH4ZCATh/syUk1IeACh07vKLq9cJoPmvjaFYinHxairpncVokq+KsenwFNicWAgB0lbrC6OGX1Sm2LjEGmmvb5AD+7jFIL5xbhoiUw6AZkwWFmWF79A/Y7v8NUsKz/zoj9ISh2DvQVegI4VYyYwfVJ0JzY5d8DW4fgGTUZUlaTdQ398L2zDIAcl5JeG8CbI/+kaWfkRpT3jK5m1QaLiVqI/ndIRzyQYp9BEDOpyJfSWX6+TbP87XmzDKow04DABIbjgZsnV5J2omIiDKCwTwRUVb4r+q5iRT7CNAnAZrny1XP7qTYTfXwHJBKMC8lPoOU+Oz5fNQ9qKLuoQO2oPi71bEk6TeUKpnJKtdGPaToh/LxdbGQosKgufiPEsSY6Cp2BaTnoZHBu4FSMm17fB6M7n4QDm6w2zv++Tal6ssTwgi77d9DMuphzFMYSTW/yFya08Kgg/r2AWgurYfmxm6L1b0N+b2h17aAvlybVA8lPfsv2NMnQBX7CJqrW2Fz5V+zbXQ+71ns7C8jVJEhz2cSo6B+HCV3Rnh6CZJqDU57T+rCCPWdY9Bc2gDNtW1KMw8zrsWQVLopdH5tMp7guHDYbRv9PMn1R0K4eWX8eOmkvnMM6ofnzZbNvtALdY5LeLf682UG7wZQnV0BALDbOx6JDb+HFB8B2+Pzkm1THwAgxTyC3QF5pAh96SYwlM58zQUiIqKsxGCeiCgLGApXMOvVXUqKhd2OMXIHbw5uUIedho2FUkrVf0F0RlQveBRlnAYCxsWZqq4uRT+E07zGVtcLtS10lbohqZZ5AK7XNof+8iZobuyE6tkdOC7tYLbe6FIcif8F7TanlkD94CwAILHRd6+0hFN1/xQ0lzbA5spmSAmRKdYbXYpD79MCep/3YCyoTdMxU70+khr6cu8jseF3GU1ymklGPez2/wZh4wh9xS5WtzP1BaC5/C9UMSnzmNHJXR4m0ec9uPg1QExERKbSZb9tNFRxTwAA+tKNoQ/o8JI9spapTbvJ4wR3bLrbEpfmCFSvBqhU8kuopJqDoA45DNWzUGhu7YPmhe9V790Iem1zAIDdrp8gJcVA2DrLpfJEREQ5DIN5IqIsoAtoD9vgeXK16P/YXPwHNhf/SX3HpOgUi4SkhqFETRhK1oPBoxyEgytU0Q+gvrYdNmdXQhIGZdt8saeRcHEd9P7tsupUzNOi0iCp+gC5VP7FHrwlFRJaT4XN2eXQXPgHqvCbgFEHkacI9N6NkFRdHmdein4A20NTAQA6bXN5fPTEaNgenwvNte1yFWe1LYwFfaCr2BV6nxbpT6guAbbH50BzaaP5sGP/MeYprASvpo76soquYhfo3ukH2Dhk6jhGh3wwlG4MQ/EaMOYrBUgSpPBbsD0+N0Wps93B36Ev2zJFfws2x+ea9QWQnHBwg75MU+h93oOhaFWr46mnl+bMcmhuyh3LGZ3ckdDkxyw5blpJ4TehvrXPbNlVt27QC1tcuw7s3gM0aigvF475Edd1pTzO/PWdkKLvA5IGxvyloC/XFroKnQBJBfX1ndBc3wEASKw9FMLZXR5y8egfUIcehhQXDmGXB0bPKkiq/snrbTJCRET0HwbzRERZwcEN8R9Mh8M/n5tVi3+RkFTm7bXVdim2ift4J0QeD7NlBreSMBR/F3cSy8D7snmwpLny7ysL5iWjHnaHpsHm7AokfDA9ZdCiUkNXsasc7Fshl3DGQtjlQVKDb4GEZ3Bc3kUO/k0MSVDfOwH1vRNIenQRSXWGpS+dcU9he2SG2TKjYwE5eC37HoxFKps1EchKtqf+gs3Ff5DQcgoMXrUydAx9yXpycP5Ccw0U0CK+dGM4rOhm1uxBSoy22N+C3f7fzOaFXV7oSzeSA/jiNbJ8SDUp/Bbs9k6QPwsSEpv/DDi4ZelnvIxt8AJIeN5/gbB1grbTR3DdAkQ+A+bMF6hXF9Bo/vv+7V2QVPcrJNW1MpRgUizsdv0PgFzjRl+hE1RhZ+Gwug+kZMNJSvHhUF3fDvXNPUho/TsM3g1f2TkSERFZwnHmiYiyiNGzCuJ6rkdSpe4wOhdSlgtJBYOHPxKa/wqjezmzfYSDa4rjvBjIJzcjuCMik8xLY1WPLmcq3cLFEzFfXpL/fXYEcV1XIalKL4hkgZ8q5iHsNw4BDEnpOrb66jZobuwCACTWGQbhVBB2B6YogbyhaDXE9tmG+LazIWwcAQC2x+dCdf905s5JpYGhTOMsC+SV6/P5McT1WI/Edwcq6QXk4Np+4xAgPoPV1R3zpQzkTVRqJL3TL+Xix5dSPaSAJL8k8Gn5SgJ5ALDbPwmSPh4AoKvcA4YSGXuZkVFS3FNoLpn3lq/zbw8HNxf06CZ/53fvAv9uTvsxbQ9MgSrmAYTKBolNfgQgwX7rt0ogn1S5B2L77UZiXXkYP8mog/3WUUCyQJ+IiOh1YMk8EVEWEs7uSGrwrVwCnRgjl0jb55WrYOsTYbdjjNn2xgJpa7MNAE+eCuzZC/SpWRSutsk6xUtMWVU/w+xdYLR3QZKHH4RdHtgdClRWqZ7dhfr2gbSXQCbGwG73OACAoUhl6AM+AoQRmivPI6vEOsMhXIvB4FoMet/WsPmvczLNlU1IKlIxzckWto4w5PeG+qk8LJpk1MPmzHLYnFkOo3Mh6H2aZ00Ve7s8MNrlgbFAGQiXorDfMlJZJSXFwObSRovD/WWWsNBLvqXv3eARAPXDc/J6CNhc3gCbyxteWRX75GmwPfknbE/+mer2qqj7cJ7sC0DuJE9XuWemPt/m1GKzjg2FSgNd5R4AgA/eB5b/DTx6BCz4U6B5U8DOLvWXOqqws7D5r0d+XdU+MBbQQvXwgjLcnrDLi6TawwCNLXRVe8Pm/Cqowm9CSoiEOuQQDGWaZOp8iIiI0oMl80REr4qds1zK/l9bas21bZD0CWabGIpVt7SnRRs2AgYD4Ol012y5SG2c+kwwuvumWKaKuJ3m/e32T4Iq9hGE2gYJTX6Q24DHhUNKjHr+GQVKJ5suk6HPASA3c+i5Ua5VULknjE4Fnx8r5gFsTyyE49KP4DivqVzy+jhztRkAy9dHSm+600h6djfFMkvfe3zXlYjtvQlJ1QeYDZMnxUfA5uwKOPzdE46z68N2989Q3T9lcXi9XEMXD5szy80W6bUtIPIWASAH7n16ycH7kyfA6rUvOZ5RL4+4IIwwuhZHUo1PAZiPLGB0LW42QoUxf7I8m3wEAiIioteAJfNERFklLtzq0GRSdBhs9000W2YoXCFFQGi78ycYStaFoVQ9s+V6vcC6DQIdvJablcoDgNHDvOo+ADis7AH13eMAAB0Au3JtkNj8l+fpiX3yX2d1ha2ejubGnhTLhMbe6vbJqe6fgubsSvnzq34Mkf+/oP3F6u7Jg8nk0xmsFm/08EOShx+S6n4FdegRuUf36zsg6eLkdD27A9tjs2F7bDaM+UpBr20BXdn3IPKVMj9QUiykmIcplyejvrkn5UKblNfHcW4jqKLuPz90jc+RVHOgMi9F3YftwalIqjVYCUTNT8oA2+NzUiw2WOl0TbiVRFKtwUiqNRiqeydhc2k9NFe3Kj37q2Ifw/bUX7A99ReMeQrDUL4NVF6Nsr0TN1OJvUlCs5+h92trdXubC2tSjFagq9rbbL55U2DZciAkFFi8VOD9VoCzs+W8ZRO8AOonVwAAiY3HAhpTfxZmI9Wb75S8/wu8mj4ZiIiIrGEwT0SURWxPLID61j7oy7aCwbMyhGN+SIkxUN85Cpvg+VDFhyvbCkmFxNpfpjiG+uk12J5ZCkP+0tD7toahiHyciwcfoF/hbfiwxN8p9tH5fZjutKrCb8J+dV8YitWQXx64+0I45YekT4IUdQ82F9dBc21biv0Mxd55+cENOrmEEwJGNy8kVR+grBIO+SDsXJROAlVPrsJYpNJ/09eU7YxuJdN9TuYnqIbBqxYMXrWQqIuH5vpOaC6tl3siN+rlTcJvwvbIdNgemZ4ywI6PhOPCVjB6Voa+VH0YPfxhdHaHZDRAinkIzdWt0JxfnfLUi6bh+rxICDngvrIJhlL1ofduJA+Zp9L815v9PKXqvInRsQAMJeu+9NBGz8pI9KyMxAajoL61DzaXNkB9c49SNV0VHQbjwZlwPDgTuhde+KRFQsvfAL31fhTs9k0wy0dGZw/Ed1win3ZmapQII2xOLjJbpC/+boqXYxqNhI/7AN+NFYiKApatEOjXN2XQLUWGKh0o6sp9AEPxd5+nOd/zvKiKCJHP97/SedXT6xa3IyIieh0YzBMRZSH1k6tQH5j80u2Sag+FMZXAWP30OtQHpijzNQHAQqygL90EBm3TDKRUbleuCTkATciBNG2v82v7vIQ9FTbH50L9X5CT2PgHs2rJkCToyraE7ZmlAOTe1xMa/wBVZCg0lzcqm+nLmvfSnik2DtD7toLet5XcYdrlTXJgn3y4t2RV/5WkQig97KeFvlgNGErWyXAyJaMemus7lCHRrBGSComNvgeSdcD3UmobGEo3gqF0IyAxWn4ZcWkD1PeCldEVMtL3gkjWnMHi+hfTqFJDuHim+3NepL62A6pI8yEIdVX7WNy2fj3ARwtcuQqs/Bv4sK1AvnzmAb3djrGQ9AkQDm5IrDfCbJ2xgA8M+ctA/fQapKQY2O6bAF3lHtBc3QpVxC15G4d8Zi8AiIiIXgcG80REr5Gwy4vE+t9A79fG8npbpzQfSxfwERIbjMqilFknVBroKnS2PpRXMqaxuAFA59fOYkl+Uq3BUN89CvXTG1DfOwGnP80D96Tqn8BYyD9rEv8C4ZgfusrdoavcHVLELdhcXA/N5X8zd0xI0Pu8h8QmP2SsYzm1DYTaFlIaRgoQ9i5IaPxj5jpas8sDfUB76APaQ4p+gDy3d0B3KmWNj5zM9sQCs3lDAR8YvGpb3FaSJAzoDwwdLhCfACxaIjBk0PNgXnPxH2hCDwMAEut9nXJoPUlCYrOf4bCqtxzMn14C29NLlNVCbYPEZuOUvjGIiIheFwbzRERZRFeuDYTGHuq7wVA9uyO35zUkQdi7wpjfGwavOtD5fwikUr044YPpUN07AU3IQajCzkAVEQJDdAQkow6xeifYehSD2qsy9P7tYCxYNsNpNRQKQPwH0+WS57CzkGIeyelNigU0dhAObjC6lYShaFXofd6DcE3Zm7oldjvGQjIkwuiQD4nWgn/7vIjvtBy2x+fInQJG3QPUtjAWLIukSt1g0DbP8HmlR/K25YgLN1+XxwPx7eZCfe8EVGGnoIp+ACk+AkiMAdS2EPYuMLp5wVikIvTaFnK1+Iymw9kdsQMOQHNzD9R3jkH1+DJUUffkz5Ik+bMK+MBQsjZ05dqkmn/S/dl5CkFddxCiArpBinuaZcd9lVT3T0Eddtpsma5qr1T3qVoFqFwJOHkKWLce6NxRwMNdAuIjYLd3AgBAX7wG9OXaWNzfWMgfcV1XwfboLKhDDkGKDwfs8sDgWVV++ZTN/Q0QEdHbSRIibV3ZRkRkcOxcyjQ3Nzdef7KK+ePNFhMj0La9XKJY/R3gtwnpL/llHqHUvC354/wFgQGfyz952rwPDP+SA/qkhc3h6bCPuYcEZ0/o3v08u5NDOdDb8gyhjGMeyRg3N7eXbsO/ZEREOdiWbUD8f6PZfdiWvWUTZZS/n4Tq/7X62LgJePAgFw/LR0REBAbzREQ5lhACa9bKAUfhwlACESLKmL695Rdier3cdp6IiCg3YzBPRJRDBZ8AQu/I020/kKBWs2SeKDPK+Up4t4Y8/e8mICyMAT0REeVeDOaJiHKoNf/IgYatLdCyRTYnhugN0aeX/FLMYAD+/IvBPBER5V4M5omIcqAHDwUOHpKnGzcCXFxYKk+UFXzLSqj535Dwm7cA9+4zoCciotyJwTwRUQ60br2A0ShPt2vDQJ4oKyml80aWzhMRUe7FYJ6IKIdJTBTYsFGeLucLlPVhME+Ulcr6SKhdS57euhW4e5cBPRER5T4M5omIcpjde4HIZ/I0h6MjejVYOk9ERLkdg3kiohzGNBydqyvQoH52poTozaUtI6FuHXl663bgDkvniYgol2EwT0SUg1y+LHDxkjzduiVga8uSeaJXxVQ6bzQCCxcxmCciotyFwTwRUQ5iGo5OpQI+eJ+BPNGrVNpbQv268vT2HUBoKAN6IiLKPRjMExHlEBGRAjt2ytO1agKFPBjME71qvZOVzi9g6TwREeUiDOaJiHKI9RuAJJ083eFDBvJEr4N3KUnpm2LHTuB2CAN6IiLKHRjMExHlAHq9wNp1chDhXQqoVDF700P0NundU4IkAUIAC/5kME9ERLkDg3kiohxgz17gyRN5un07CZLEknmi16VUSQkNG8jTu3YDN28xoCciopyPwTwRUQ6wao0cPOTNCzRtks2JIXoLJS+dZ8/2RESUGzCYJyLKZpcuC5y/IE+/3wqws2OpPNHr5lVCQuNG8vTuPWw7T0REOR+DeSKibLZqtRw0qFVA2zYM5ImyS49uz0vn/1rMYJ6IiHI2BvNERNno6VOBnbvl6bp1AQ93BvNE2aWkl4R6pnHndwJ37zKgJyKinIvBPBFRNlq1RkCvl6fbt2MgT5TdenZ/Pu78X0sZzBMRUc7FYJ6IKJvExQms/Uee9isHlA/I1uQQEYAypSXUriVPb9kKhIUxoCciopyJwTwRUTZZvxGIiZWnu3TmcHREOYWpdN5gAJYsZzBPREQ5E4N5IqJsoNMJrPxbDhKKFQNq18zmBBGRwreshHeqydP/bgIeP2ZAT0REOQ+DeSKibLBjF/DosTzduaMEtZql8kQ5Sa8e8j2p0wFLWTpPREQ5EIN5IqLXTAiBpcvk4CCfG9CsSTYniIhSKB8goXIleXrdBiA8nAE9ERHlLAzmiYhesyNHgVu35ekO7SXY2bFUnignMpXOJyUBy/9mME9ERDkLg3kiotdICIG/lshBgYMD0Ob9bE4QEVlVqSIQ4C9Pr10LPHvGgJ6IiHIOBvNERK/RiZPA2XPydJv3gTx5WCpPlFNJkqT0bB+fAKxcxWCeiIhyDgbzRESviRAC8xfKwYCdHdClEwN5opyu+jtAWR95etUaIDqaAT0REeUMDOaJiF6T5KXy7doAbm4M5olyOkmSlLbzsbHA6rXZnCAiIqL/MJgnInoNhBCYt0Au0bO3Z6k8UW5SqyZQ2lueXrlKIC6OpfNERJT9GMwTEb0GwSeAc+flaZbKE+UukiShx39t56OigLXrsjlBREREYDBPRPTKJW8rb28PdO7IQJ4ot6lfF/AqIU8vXymQkMDSeSIiyl4M5omIXrFjx5OVyrdlqTxRbqRSSejRTb53IyKA9RuyOUFERPTWYzBPRPQKGQwCM/94Pq48S+WJcq+GDYCinvL0kuUCiYksnSciouzDYJ6I6BXatgO4fkOe7tJJgpsrg3mi3EqjkdD9v9L5p0+BTVuyOUFERPRWYzBPRPSKJCYKzJknl9zlzwd07JDNCSKiTGvWBCjkIU8vXiqg07F0noiIsgeDeSKiV2T1WuDRI3m6T28Jjo4slSfK7TQaCd26yPfyw4fA1m3ZnCAiInprMZgnInoFoqIEFi2WS+xKFAdatsjmBBFRlnmvBVCwgDy9aImAXs/SeSIiev0YzBMRvQKLFgvExMjTA/pL0GhYKk/0prC1ldCls3xP378P7NyVzQkiIqK3EoN5IqIsFhoqsGqNPB3gD9Sulb3pIaKs17ol4OYmTy9aLGAwsHSeiIheLwbzRERZSAiB3wMF9HpAkoAvBkqQJJbKE71p7O0lZajJkFBgz95sThAREb11GMwTEWWhAweBY8fl6VbvAb5lGcgTvanavA+4usjTCxYJGI0snScioteHwTwRURZJTBSYFiT/mHd2Bvr3YyBP9CZzdJTQ8SP5Pr99G9jN0nkiInqNGMwTEWWRpcuBsAfydL++EtxcGcwTvek+bAvkzStPL/yTpfNERPT6MJgnIsoCYWECfy2Rf8SX9gY+aJ3NCSKi18LRUUKn/0rnb90G/t/efcdHUTR+HP/upRdKCCBNivQmCjwqoqKCCmJBRECaIiIg2EDx8acCIkixgIWughRBRMVHBakqCGJBVIpUqaGFkBBCSLub3x9LEiIhjSSXu3zer9e9Mnt7t5ngOLffm92ZH9a4tz4AgOKDMA8Al8gYo9ffMkpKsrefeYql6IDi5P77pBIl7PIs7p0HABQSwjwAXKIVK9MnvbuzndTkSoI8UJyEhKSPzu/5R1r7o5srBAAoFgjzAHAJYmLSJ70LC5MGDSDIA8VRp47po/MzuXceAFAICPMAcAnenWwUc8ouP/2EpZIlCfNAcRQSYqnLA/b//7v32MtUAgBQkAjzAJBHv/xqtGy5Xb7+OunWW9xbHwDu1amjvSylZI/OG8PoPACg4BDmASAPzp41ev1N+0Q9KEga/Iwly2JUHijOQkMtde5k9wO7djM6DwAoWIR5AMiDD2aatDXl+/W1VOEygjwA6YH7pdAQu8zoPACgIBHmASCXtm83WrjILjdsIN13r3vrA6DoKFHC0gOd7PLOXdK6n9xbHwCA9yLMA0AupKQYjXvDyOWSfH2l55+15OPDqDyAdA90shSSOjo/i9F5AEDBIMwDQC4sWGjfCytJPbpJV1xBkAeQUckSljp1tMs7dkrr1ru3PgAA70SYB4AcOnTI6MNZ9ghb1culnt0J8gAy1+WB9NH59z9k3XkAQP4jzANADhhj9PpbRklJ9vbzz1kKCCDMA8hcyZKWunZOX3f++zVurhAAwOsQ5gEgB5Z8K2383S7fe7fU5EqCPICsde4klSpplz/40MjpZHQeAJB/CPMAkI2TJ43em2yfhIeHSwP6EeQBZC8kxFL3bnZ/sf+AtHylmysEAPAqhHkAyMbb7xmdPm2XBz9lKTSUMA8gZzp2kMLL2OUPZxmlpDA6DwDIH4R5AMjCTxuMVq22yzfdKLW6iSAPIOcCAy316mH3G0eOSN8sdXOFAABegzAPABcRH2/05gR7FC04WHrmSYI8gNy7+y6pfHm7/NFso8RERucBAJeOMA8AF/HBLKOjx+xy/8cslStHmAeQe/7+lnr3svuP45HSl1+5uUIAAK9AmAeATGzfbvTpIrvcqKHU4R731geAZ2vXVqpS2S7PmWd09iyj8wCAS0OYB4B/SUkxGveGkcsl+fhIQ4dYcjgYlQeQd76+lh552O5HoqOlRZ+7uUIAAI9HmAeAf1m4SNq12y53f1C64gqCPIBL1/pWqUZ1uzzvY6NTpxidBwDkHWEeAM5z+IjRBzPtE+wqVaSHehLkAeQPHx9L/R+z+5S4M9LseYR5AEDeEeYB4Dxvv2uUmGiXhw6xFBBAmAeQf65vITW50i5//oV09CiBHgCQN4R5ADhn/U9G69bb5Ttul5peTZAHkL8sy9KAfnbfkpwsvT+TMA8AyBvCPABISkw0evvd9DXlH+9HkAdQMBo1tNTqJru8bLm0azeBHgCQe4R5AJD0yadSxGG73Ke3pfBwwjyAgtPvUUs+DskYadoMwjwAIPcI8wCKvaPHjD6aY59M16gu3X+fe+sDwPtVrWqpfXu7vOFn6fdNBHoAQO4Q5gEUe5OmpE9698xTlnx9GZUHUPAeedhSYKBdnjLNyBgCPQAg5wjzAIq13zYaffe9XW59C5PeASg8ZcMtde5kl//eLn33g3vrAwDwLIR5AMVWSorRxHfskbDAQGngAII8gMLVraulUiXt8rTpRsnJjM4DAHKGMA+g2Fr0ubRvv11+qKel8uUJ8wAKV2iopYcfsvueiMPS54vdWx8AgOcgzAMolk6dMpr1kT0CVqWK1OUBN1cIQLF1373S5Zfb5ZkfGZ06xeg8ACB7hHkAxdJHc4ziztjlQY9b8vdnVB6Ae/j6WhrY3+6D4uLsQA8AQHYI8wCKnYgIk3Yp61VNpJYt3FodAFDL66WmV9vlLxZL+/cT6AEAWSPMAyh2pr1vlJJilwcNsGRZjMoDcC/LsjTocUuWJTld0uRphHkAQNYI8wCKla3bjFZ/Z5fbtJbq1SPIAyga6tS21K6tXV633l46EwCAiyHMAyg2jDGaNMU+Ofbzkx57lCAPoGh5rI+lwEC7/N5kI6eTQA8AyBxhHkCxsfZH6a/NdrnjfVKlioR5AEVL2bKWuj9o902790hLl7m5QgCAIoswD6BYSEkxafeghoZKD/UgyAMomh7sIpUra5dnvG8UH8/oPADgQoR5AMXCl19Jhw7Z5Yd6WipZkjAPoGgKDLTU7zG7j4o6Kc2bT5gHAFyIMA/A6505Y9LWba5YQbr/PjdXCACycXsbqW4duzz/E+nYcQI9ACAjwjwArzd3vlFMjF1+rK8lf39G5QEUbQ6HpScG2n1VUpI0bTphHgCQEWEegFc7ftzok4V2uV5dqfUt7q0PAOTUVU0stbrJLi9faS+tCQBAKsI8AK/2/odGSUl2eeAASw4Ho/IAPMfj/Sz5+dnld94zMoZADwCwEeYBeK1du03ask4tr5euvoogD8CzVK5s6YFOdnnrNmnFKvfWBwBQdBDmAXitKdOMjJF8HNKAfgR5AJ7poR6WwsLs8tRpRgkJjM4DAAjzALzUL78a/fKrXb6rvVS9GmEegGcKCbHUt4/dhx2PtGe3BwCAMA/A6zidRpOm2iNXQYHSIw8T5AF4tvbtpFo17fK8+UbHWaoOAIo9wjwAr7NsubRnj13u9qCl8HDCPADP5uNj6clBdl+WkCBNm0GYB4DijjAPwKskJBjN+MA+yQ0Pl7p2dnOFACCfNL3a0k032uVlK1iqDgCKO8I8AK+ycJEUecIuP9rbUlAQo/IAvMfA/ixVBwCwEeYBeI3oaKO5H9sntjWqS3e2c299ACC/sVQdACAVYR6A15j5kVF8vF1+vL8lHx9G5QF4n38vVXf2LKPzAFAc+bq7AgCQHw4cMPryK7vcrKl03bXurQ9y7q+//tKiRYv0559/6uTJkwoODlaNGjXUtm1b3XPPPXI4cve987hx4/TFF19IkipUqKDFixdn+rqoqChNnTpV69atU2xsrCpWrKh27dqpV69e8vXN/OMxISFBPXr0UFxcnD755BOVKlUqV3U733XXXSdJ6tOnj/r27Zvla0eOHKklS5Zk+vccPnxYHTt2vOA9/v7+CgkJUalSpVSrVi01aNBAbdq0Ufny5bP8XQMGDNCmTZt09dVXa8qUKbn7o1AoQkIsPdZHGveGSVuq7pGH3V0rAEBhI8wD8AqTpxk5nZJl2aPylsWovCeYNm2aZs6cmbZdokQJxcfH648//tAff/yhZcuW6a233lJQUFCOjrdx48aLhvfzxcbG6rHHHlNERIQkKSgoSAcPHtT06dO1e/duvfbaa5m+74MPPtChQ4c0fPjwSwryBSUkJEQBAQGSJJfLpdOnTys6Olr79u3TypUrNWnSJLVu3VqDBw9W6dKl3VtZXJI720mffSHt3mMvVXfXnVL58vR7AFCccJk9AI+38XejH9fZ5XZ3SHXrcELrCb788su0IH/bbbfpf//7n1asWKHVq1drxIgRCg4O1qZNmzRq1KgcHS8hIUFjxoyRj4+P6tevn+VrFyxYoIiICNWuXVuLFy/Wd999p0mTJik4OFirV6/Wxo0bL3jPrl279PHHH+uaa65Ru3ZFc0KGZ555RkuWLNGSJUv07bff6scff9TXX3+tMWPGqEWLFnI6nVq+fLl69uypw4cPu7u6uATnL1WXmChNnc6l9gBQ3BDmAXg0p9Povcn2SWxgoNS3D0HeEzidTk2fPl2SVLduXY0cOTLt8m8/Pz+1bdtWgwcPliStWrVKf/zxR7bHnDp1qg4dOqQePXqoRo0aWb72l19+kST1799fFSpUkCQ1a9ZM99xzT4b9qVwul8aMGSNfX189//zzOf9Di4CyZcvqlltu0YQJEzRq1Cj5+voqMjJSQ4YMUUpKirurh0vQ9GpLrW6yy8tXSlu2EugBoDghzAPwaN8ul3bttsvduloqV44w7wm2b9+uqKgoSVL37t0zvS2iffv2KlOmjCTpm2++yfJ4W7Zs0cKFC1W1alX17t07298fExMjSapcuXKG5y+//HJJUnR0dIbnP/30U23btk19+vS54D2epE2bNhowYIAkae/evVqyZImba4RL9Xg/lqoDgOKKMA/AY8XHG01/3z5xLVtWerCLmyuEHDty5EhauXr16pm+xrIsVatWTZK0YcOGix4rKSlJo0aNkjFGzz//fNo941lJvd899Z75VIcOHZKkDPeTHzt2TNOmTVOtWrXUrVu3bI9d1HXq1Cnt7yPMe77zl6rb9re0YqV76wMAKDyEeQAea/4nRucGd9XvUUtBQYzKeyKXy3XRfU6nU5IUGRmp2NjYTF/zwQcfaN++fbr77rvVrFmzHP3Oa665RpI9Ad+xY8ckSZs2bdKXX36ZYb8kjR8/XgkJCXrhhRcuOsu9JwkICFDz5s0lSVu3blViYqKba4RLdf5SdVNYqg4Aig3PPysBUCxFRhp9vMAu16kj3XG7e+uD3KlYsWJaec+ePapXr94Fr0lJSdGBAwfStk+cOKGSJUtmeM2OHTs0d+5clSlTRoMGDcrx7+/atauWLl2qnTt36t5771VQUJDOnj0rSWrVqlVa2F2xYoXWrVunBx54QA0bNszV35hTH3/8cdpSehdz5syZfP2dtWrV0sqVK5WcnKyjR49e8O8Kz3L+UnWRJ1iqDgCKC0bmAXik6e8bpQ4oDhpgyeFgVN6T1KtXL+1++Dlz5mQ6EdvixYvT7m2XLgy0KSkpGj16tJxOpwYPHpyrQFqqVCnNmDFDd955p8LCwpScnKwqVaro0Ucf1ejRoyVJp0+f1sSJE1W+fHn1799fkvTXX39p4MCBuvnmm9W6dWsNGTJEe/fuze2fn8HZs2d18uTJLB/5PXp+/r/VqVOn8vXYcI8720m1a9nlefONjh1ndB4AvB0j8wA8zvYdRkuX2eUbb7BndIZn8fHxUd++fTVu3Djt27dPQ4YM0YABA1SzZk3FxsZq+fLlmjJlinx9fdOC/r8nyZs9e7Z27typli1bqk2bNrmuQ7ly5TRs2LCL7n/nnXcUFRWl8ePHKyQkRH/++acGDRokY4xuueUWJSYmas2aNdq8ebNmzpyZ54nx+vTpo759+2b5mpEjR+br/e1MkuZ9fHwsPTFQevIZ+4vOadONhr1E3wgA3owwD8CjuFxGE9+xg4iPjzSgHyernuq+++7TkSNHNHv2bP3888/6+eefM+wvU6aMOnXqlLaE3fmjyXv37tXMmTMVHBysoUOH5nvdNm3apK+//lo333yzbrrJXvvr7bffVnJysl555RXdcccdkqQPP/xQ06dP15QpUzRq1Kh8r0dBOX36dFr5/Mn+4NnspeqMflhjL1XX8T6jRg3pIwHAW3GZPQCPsmy5tGWrXe7ygFT1ck5UPdnjjz+u999/X3fffbdq1qypyy67TPXq1dNDDz2kjz/+WP7+/pIkf3//tPXgJen1119XcnKyHn74YZUoUULx8fEZHqkT50lKey6na6onJSVp7NixCg4O1pAhQyRJUVFR2rZtm8LCwnTbbbelvbZLly6yLEvr16/PciK/ombXrl2S7H/Xyy67zM21QX56vH/GpepcLq7CAABvxcg8AI9x+rTR5Gn2iWl4uPRwL4K8N2jUqJEaNWqU6b5NmzZJsu+xTw32knT48GFJ0uTJkzV58uSLHvvo0aO69dZbJUlPP/20unbtmm19Zs6cqf379+u5555TuXLlJKUvpVexYkU5HOnfg4eEhKh06dKKjo5WdHS0wsPDsz2+uyUmJmrjxo2SpIYNGyogIEDx8fFurhXyS+VKljp3Mpo3316qbuUq6fbbsn8fAMDzMDIPwGN8OMsoOtouDxxgKTiYMO/Njh07lra+/J133lkov/Off/7R3Llz1bhxY3Xs2PGC/UlJSRc852lLuy1atChtYsH27du7tzIoEL16WCrDUnUA4PUYmQfgEfb8Y/T5udW7mlwp3dbavfVBwUpJSdGYMWPkdDpVpUoVtW3bNsP+xYsXZ/n+1AnjKlSokO1rUxljNGbMGBlj9MILL2SYcC91Kb2DBw8qLi5OoaGhkux79+Pj4xUcHKyw1IW+i7BVq1ZpypQpkqSaNWte8O8K7xASYumxR6Wxr9tL1X28wKhPb778BABvw8g8gCLPGKMJbxs5XZLDIT3zlHXBzObwPBEREZo6daq2b9+eNrrtdDq1adMmDRw4UBs2bFBAQICGDRumwMDAAq/PZ599ps2bN6tHjx664oorMuwLDw9XgwYNlJiYqAkTJighIUFxcXGaMGGCJOn666/PcPl9URIVFaXvvvtOgwcP1osvvqiUlBSVK1dOb7zxhnx9+U7fW7Vrm75U3ccLxFJ1AOCF+BQHUOStWi398add7thBqlWTIO8Nzpw5o1mzZmnWrFmS7Nnqz5w5kzZ5XZkyZfTqq6/qyiuvLPC6REZGasqUKbr88svVu3fvTF/z5JNP6oknntA333yjZcuWyRgjp9OpkiVLpq1D724TJkxIm0PAGKO4uDglJyen7ffx8dFtt92mZ555RqVKlXJXNVEIfHwsPTlIeuJplqoDAG9FmAdQpMXHG703xR5RKl1aXCrqRSpWrKg+ffro999/16FDhxQTE6OQkBBVrVpVN954o+6///60y9kL2htvvKEzZ85o/PjxCggIyPQ1V111ld577z1NmzZN27Ztk8Ph0NVXX61BgwapSpUqhVLP7Jw5c0ZnzpyRJPn5+aVN0FerVi01bNhQbdq0SZvUD97v6qss3XyT0fcsVQcAXskyxuTouqvo1FmnUOjCwsL498dFeXv7mDzVpY8X2OX/DrV0152ciOaWt7cRXBrah3eLOGzU4yGj5GSpQX1p6iRLDkfO+1G/nyYpMC5CCaGVldxiYAHWFJ6KPgTZoY3kTU7m4imaN/gBgKRdu40+WWiX69eX7mSuLgDIFXupOru87W9pxUr31gcAkH8I8wCKJKfTaPyb9qR3Pg5p6ODcjSYBAGznL1U3dTpL1QGAtyDMAyiSvvhS+vtvu9yls1S7NkEeAPLCXqrO7kNTl6oDAHg+wjyAIuf4caNpM+yTzYoVpN4PEeQB4FKwVB0AeB/CPIAiZ8I7RmfP2uUhz1gKCiLMA8ClsJeqs/vSxET7cnsAgGcjzAMoUn5Ya7T2R7vcprV03bUEeQDID/ZSdXZ5xUppy1YCPQB4MsI8gCLjzBmjiW/bJ5ehodKTAwnyAJCfBvS35Odnl99+z8jlItADgKcizAMoMqa/bxR5wi4P7G+pTBnCPADkp8qVLHV5wC7/zVJ1AODRCPMAioQ//zL6fLFdvqqJ1P5Ot1YHALxWz+4sVQcA3oAwD8DtEhKMxow3Mkby95OeY015ACgwLFUHAN6BMA/A7d7/0OjQIbvc5xFL1aoR5AGgILVrK9WpbZfnzZeOHiPQA4CnIcwDcKstW40WLrLL9esp7V5OAEDB8fGx9MS5SUaTkqRpMwjzAOBpCPMA3CYx0WjMOCOXS/Lzk1543pKvL6PyAFAYWKoOADwbYR6A23w4y2j/Abvc+yFLV9QgyANAYXp8AEvVAYCnIswDcIu/txvN/8Qu16kjdevq3voAQHFUqSJL1QGApyLMAyh0SUlGr421L6/39ZX+j8vrAcBtevVgqToA8ESEeQCF7qM5Rnv32eVePSzVqkmQBwB3CQ629Fjf9KXqZn5EmAcAT0CYB1Coduw0mjvPLtesKfXs7t76AACkdndI9evb5U8WSrt2E+gBoKgjzAMoNMnJRq+NM3K6JB+H9OJ/Lfn5MSoPAO7m42Np6BBLPg7J6ZLGv2nkdBLoAaAoI8wDKDRz5kl79tjlHt2lOrUJ8gBQVNSuZalLZ7v899/S4i/dWx8AQNYI8wAKxe49Rh/NsUd5alSXHupJkAeAoqb3Q5YqXGaXp71vFB/v3voAAC6OMA+gwKWknLu83ik5HNL//deSvz9hHgCKmqAgS0MG2/1zfLz00wYutQeAooowD6DAfbxA2rnTLj/YRapfjyAPAEVVi2st3XqLXd63Xzpy1OneCgEAMkWYB1Cg/tlr0pY5qlZVeuRhgjwAFHVPP2GpVEm7vHWrUwkJ7q0PAOBChHkABSYlxei1sUbJyfbl9S88bykggDAPAEVdmTKWnnrS7q+TkgyX2wNAEUSYB1Bg5s2Xtu+wy507SY0aEuQBwFPc1lqqWtUu/7NX+mENgR4AihLCPIACsXtPxsvr+/YhyAOAJ7EsSy2vt+TrZ/ffb0wwiokh0ANAUUGYB5DvUlKMRo8xSklJn72ey+sBwPMEB0kN6/tIkqKjpdffMjKGQA8ARQFhHkC++2iO0a7ddrn7g1LDBgR5APBUlSv7pF1u/8Maacm37q0PAMBGmAeQr3bsNJo91y5fUUPq/RBBHgA83Y0tLZUJs8sT3zGKiGB0HgDcjTAPIN8kJdmz1zudko9DevEFS/7+hHkA8HSBgdIL/7X787NnpZGjjVJSCPQA4E6EeQD5ZuZsoz3/2OVePaW6dQjyAOAtWlxr6f777PLWbfYtVQAA9yHMA8gXf283mvexXa5dS+rVgyAPAN7m8f6Wqle3y7PnSFu2EugBwF0I8wAuWWKiPXu9yyX5+tqz1/v5EeYBwNsEBFga/qIlX1/J6bIvt4+PJ9ADgDsQ5gFcsg9mGu3bb5cf7mWpdi2CPAB4q9q1LT32qN3PHz4svTmR5eoAwB0I8wAuyeYtRvM/sct160g9urm3PgCAgte1s9SsqV1etlz6Zql76wMAxRFhHkCeJSQYjR5rZIzk52fPXu/ry6g8AHg7h8PSyy+mL1f31kSj3XsYnQeAwkSYB5BnU6YZHTpkl/v0tnRFDYI8ABQXZcMtjRhmyeGQkpKkl4YbnTlDoAeAwkKYB5AnP/9i9NkXdrlhA+nBLu6tDwCg8DW92tIjD9tf5B46JI1/g/vnAaCwEOYB5NqpU0avjbNP1oICpWEvWvLxYVQeAIqjXj2ka/5jl1d9Jy3+n3vrAwDFBWEeQK4YY/T6m0ZRUfb2k4MsVa5MkAeA4ir1/vlyZe3td94z2r6D0XkAKGiEeQC58u0y6fs1dvmGltJd7d1bHwCA+4WVtu+f93FIycnSy8ONTp0i0ANAQSLMA8ixw0eMJrxjn5yFhUnPP2vJshiVBwBITa609Fhf+zPhyFFpxKtGKSkEegAoKIR5ADnidBqNes0oPt7efmGopbAwgjwAIF23rtLNrezyr79J02YQ5gGgoBDmAeTIxwukvzbb5Xvvlq5vQZAHAGRkWZb+73lLV9Swt+d/Iq1YRaAHgIJAmAeQrT//Mnr/A/tkrEoVadDjBHkAQOaCgy2NGWUpNNTeHjveaNcuAj0A5DfCPIAsxcQYjRhp5HRJfn7SK8MsBQUR5gEAF1e5sqVXhllyOKTEROmFl4xiYgj0AJCfCPMALsrlMho91ijyhL096HFLdesQ5AEA2bv2GkuPPWp/Zhw9Jg0fyYR4AJCfCPMALmrBQumnDXb55lZSxw5urQ4AwMN0f1C69Ra7vPF3aeI7RsYQ6AEgPxDmAWTqjz9N2izEFStK/32OZegAALljWZZeGGqpdi17e/H/pE8XubdOAOAtCPMALnDsuNFLw42cTvs++VeHWwoNJcgDAHIvKMjSuNcshYfb2+9ONvpxPaPzAHCpCPMAMkhMNHrxZaOYGHt7yNOW6tUjyAMA8q58eTvQBwZKxkivjDTayQz3AHBJCPMA0hhj9MZbRtt32Nsd7pHuak+QBwBcunp1LQ170ZJlSWcTpOeeNzp8hEAPAHlFmAeQ5tPPpKXL7HLjRtJTTxDkAQD556YbLQ0cYH+2RJ2UBj9rFB1NoAeAvCDMA5Akrf3R6L3J9glV2bLSqFcs+fkR5gEA+atrZ0tdO9vlQxHSc/81io8n0ANAbhHmAWjb30YjXjVyuaTAQGnMKEvh4QR5AEDBeLy/pTtut8vbd0gvDjNKSiLQA0BuEOaBYi7isNHQF4wSEyWHQxoxzFJ9JrwDABQgh8Nesq7Fdfb2r79JL48wSk4m0ANAThHmgWIsOsbouefTZ65/6glLN1xPkAcAFDxfX0sjh1tq3MjeXrdeGkagB4AcI8wDxVRsrNEzQ4wOHLS3u3WV7r+PIA8AKDxBQZbeGGepUUN7e+06afhIo5QUAj0AZIcwDxRDcXFGg58z2r3H3r7jNqn/YwR5AEDhCwmxA339+vb2mrX2JfeJiQR6AMgKYR4oZuLjjZ59Pn0t+VtvkV543pLDQZgHALhHaKilt8ZbqlfX3l77ozRkqFFcHIEeAC6GMA8UI6dPGw0ZarRlq719Y0tp2IuWfH0J8gAA9ypRwtKENyw1udLe/uNPadBTRieiCPQAkBnCPFBMnDxp9MTTRpu32NvXXSu9MpwgDwAoOkqUsPTW65ZuvMHe3r1HGjDI6J+9BHoA+DfCPFAMHDli9PgT6ffIt7pJeu1VS/7+BHkAQNESEGDp1RGW7m5vbx85IvV73OiHNQR6ADgfYR7wcrt2GQ14wuhQhL19ZzvplWEEeQBA0eXra2nos5YefcT+rDp7VnpxmNH0911yuQj1ACAR5gGvtmatHeRPnLC3u3aWXhjKpfUAgKLPsiw93MvS2NGWgoPt52bPlZ59nvvoAUAizANeyRijOfOM/u9lo4QEybKkgQMsDRxgybII8gAAz3FDS0szpliqerm9/cuv0kO9jX5YS6AHULwR5gEvEx9vNHK00bQZ9klOUJA0drSlB7sQ5AEAnqlaNUvTp1i6vY29fSpWevFlo9fGuXT6NKEeQPFEmAe8yD//GPXtb7Ripb1d4TJp6iRLLa8nxAMAPFtoqKVhLzk0/GVLoSH2c0uWSt17GS1fYWQMoR5A8UKYB7yAMUbfLDXqO8Bo/wH7uWZNpRlTLdW8giAPAPAet7W29NFMS82a2tsno6WRo42eHmK0fz+BHkDxQZgHPNzJky69PNxozDijxET7/vhHHrbX6Q0LI8gDALzPZeUtTXzT0kv/Z6l0afu5jb9LvR4xmvC2SzExhHoA3s/X3RUAvNmpU6e0du1a/frrr9qxY4eOHj0qp9Op0qVLq379+rrzzjt188035/n4K1bG6o231uh07A4Z105Z1k65nMc0farkTO6jvn375t8fAwCAG23fvl0//vijtm/froMHDyo6OlpnzpxRcHCISoVUU/SpFjKmoz77oqSWLTfq1VO6/z573frcioqK0qJFi7R+/XodOXJEiYmJCgsLU/Xq1dW0aVN169ZNvr6cRgNwL3ohoADdeeedcjqdadsBAQHy9fVVZGSkIiMjtWbNGrVo0UJjxoxRYGBgjo8bHWP03iSjpUt/kCtldNrzjEMAALzV119/rUWLFqVtBwQEKCAgQKdPx0raLGmzfLVQxjFOcWcaa/JUo0WfS316S21vl3x8chbqV6xYobFjx+rMmTOSJD8/PwUEBOjo0aM6evSoNmzYoPvuu08lSpQogL8SAHKOMA8UIKfTqcaNG6t9+/a65pprVKlSJUnS4cOHNXPmTH311Vf66aefNGbMGL3yyivZHs/lMvpmiTR5mtHp0/ZzlhWmK2rW0fUt6qhOnTqaOHGioqKiCvLPAgCg0DVo0EBPPPGEmjRpomrVqqWF6fj4eH333Xd69913FRMTo9DQ/6ps+U906HCojh+Xxowzmv+J1O9R6YaWynJll1WrVmn48OFyuVxq3bq1evXqpbp166b9np07d+r7779nVB5AkWCZHE79GR0dXdB1wUWEhYXx7++hNm7cqGbNml10/7hx4/TFF19IkhYvXqwKFSpc9LX/7DV64y2jvzanP9fi2hS9OrKsAgNi057r0KGDjh49qj59uMweNvoQZIX2gaz4/TRJgXERSgitrOQWA91dnSxt2LBBTz/9tCTp5ZeHK8XVVh/OMjr/++3GjaT+j1lqcuWFgf7EiRPq1q2bYmNj1blzZw0ePLiQau7Z6EOQHdpI3oSFhWX7GibAAwpQVkFeku6+++608vbt2zN9TXy80ZRpLvV+ND3IlysrjR5pafxYP1Ws4JNv9QUAwFM1btw4rRwVFal777b0yTxL/fqmL2W3eYs08Emjof91ac8/GcezFi5cqNjYWJUrV06DBg0qzKoDQJ5wjRDgRv7+/mlll8uVYZ/LZfTtMmnaDKOok/ZzDoc9mU/fPpaCg5mpHgCAVH/88UdauUqVKpKkwEBLPbtL994tzZ1vtOgzKSlJWr9B+ulno9tvM3q0t6WKFS0tXbpUktSuXbsMn88AUFQR5gE32rRpU1q5Zs2aaeU//zJ65z2jHTvTX1uvrvTsYEv16hLiAQCQpKSkJJ04cULr16/X9OnTJUmXX365brzxxgyvK1nS0uP9LHW6z2jmR0bfLJVcLmnZcmnVaqM2rSMUGRkpSbrqqqu0Y8cOzZ49W5s2bdLp06cVFhamK6+8Ul26dMlwBQAAuBNhHnCTuLg4zZ49W5J94lCtWjUdOWI0ZbrR6u/SXxceLvXva+mO2yWHgyAPAMBNN92kpKSkC56/6qqrNGLECPn5+WX6vvLlLT3/nKWunY2mf2D0wxopJUVasuRA2mv++mub5s6dpZSUlLQZ848fP66VK1dq1apV6t+/vx566KEC+9sAIKcI84AbuFwuDR8+XJGRkfL399fAgYM17X2XPvlESkq2X+PvLz3YRer+IJfUAwBwvjJlyigpKUlnz57V2bNnJUnNmzfX448/nuVksqmqVbM0eqSlrduMpk432rjxdNq+WbM+VIkSZTVixAtq0eJaORwO7du3T2+88YZ+++03TZkyRdWrV1erVq0K7O8DgJxgAjzADd58802tW7dOktTmtmf14rBamjM3Pci3vkX6eLalvn0cBHkAAP5l8eLFWrJkib777jstWbJETzzxhHbu3Kk+ffqkXW6fEw0bWHpngqXuXc+fDM+l+MRRmjrjWv36m/0ZXL16db3++usqV66cJOn999/Pzz8HAPKEMA8UsrffflufffaZJKlc+We0fNVdOnlutY66daRJ71h6ZbhDFSoQ4gEAyE6ZMmXUvXt3TZw4UQ6HQx9++KF+/PHHHL/fsixdeWVI2rZ/QBNZjkbau08aMtTo2edd2rvPKCgoSB07dpQk7dq1S1Hnr3kHAG5AmAcK0bvvvqv58+dLkhy+Tyk69gFJUvny0sv/Z2nG1MzXvgUAAFlr0KCBrrzySkn2yH1upI64S9Ltt1VXv76WgoLs7Q0/Sw8/YvTmRJfKlaue9rqjR49eapUB4JJwzzxQSMaPf0eff/6xJMnh+6Qcvl0UFCT17G6pywNSQAAhHgCAS5Eayg8dOpSr91WvXl0+Pj5yOp3y9bXUs7ulO9tK739o9PUSyemSvlgs+fumLyNrWXxuA3AvRuaBApaQYNSv39vnBfkn5OvfVffeLX0yz1KvHhZBHgCAfBARESFJCgkJyeaVGQUGBqpJkyaSpL1790qSwsMtPf+cQx/OsNSsqf26hIR9595hae/+CjLGXHgwACgkhHmggKSkGH2z1Kj9Xe/ozz9TL61/Ute3fFCzPrD03BCHypQhxAMAkB2n05ltcP7111+1bds2SdLVV1+d699x1113SZL+/PNPbd68Oe352rUsTXzT0sgRibLMF/aTVgONGVdaTzxttGMngR6AexDmgXzmchmt/t6oV2+jUaPe05k4O8iXq/CU3p74oN4Y59AVNXIW4mfMmKHrrrtO1113nQ4fPpzpa06ePKmYmJi0R+rJTkJCQobnExIS8ucPBACgkB07dkw9evTQokWLdODAgQzB/tixY5o9e7aGDh0qY4xKliypBx988IJjZPeZ2rZtW9WvX1+S9NJLL2nDhg1yuezL6vfv36/PFz0np/OELMuh0JL9JEl//Ck92s/otbEunThBqAdQuLhnHsgnxhht+EWa8b7Rzl2SMUdlnPMkSZblkDNpjoYPm3PR93fv3l3du3fP9e9t0aJFps/PmzdP8+bNS9vu06eP+vbtm+vjAwBQFOzZs0dvvPGGJMnX11ehoaFKTExMW2dekipVqqQxY8YoPDw818d3OBx6/fXXNWjQIO3bt09PP/20AgIC5Ofnp7i4uLTf++yzz+rWW/+jmR8Zfb5YcjqlJd9Kq7836tzJqGsXSyVLcOUdgIJHmAcuUWqInz3HaPOW9OdLhBrFJKa+xqWTJ09meZz4+PgCrCUAAJ6rXLlyGj16tH7//Xdt3bpVUVFRiomJkcPhUIUKFVSrVi3ddNNNuv322xUYGJjn31O2bFl99NFHWrRokVauXKkDBw4oMTFRFStWVPPmzdW1a1fVrFlTkvTUE5buu9do8jSjH9dJCQnS7LnSZ18YdXlA6txJCg0l1AMoOJbJ4cwd0dHRBV0XXERYWBj//kWQ02m0Zq00Z549Ep8qOFjq2tmeoT4kpOA/xGkfyA5tBFmhfSArfj9NUmBchBJCKyu5xUB3V6fI+m2j0bQZRn9vT3+uRAnpwS6WOnWUgoO9N9TThyA7tJG8CQsLy/Y1jMwDuZSUZLRilTTvY6MDB9OfDwqS7rtX6tbVUunS3vuhDQAAMmrezJ7xfv1P0gcz7S/5T5+Wpr9vtPBTqduD9jlCUBDnBwDyD2EeyKGjx4y+/J/RV99IMTHpz5csKT1wv6X775NKluRDGgCA4siyLLW8Xrq+hbTmR+nDmUZ7/pFiTkmTpxp9PF96oJPUsYNUgnvqAeQDwjyQBWOMft9k3//24zrp3KS2kqTwcPvyuXvu8u7L5wAAQM5ZlqVWN0o3tpS++0GaOcto33471M/4wOjjBVLH+4w6d7IUxpV8AC4BYR7IRFyc0bIV0heL7Q/g8zVsIN1/n6WbW0n+/nwIAwCACzkcllrfIt18k/T9D9LseUZ79khnzkhz5kqfLjK65y6jB7tYKleO8wkAuUeYB84xxuivzdJX3xh9972UmJi+z99PatNa6tjBUr16fOACAICc8fGx1PpW6dZbpHU/SR/NMfr7b3v2+4WLpC++NGrX1qj7g5YqV+IcA0DOEeZR7J08abR0mfT1EqODBzPuq3CZdF8HS+3biUntAABAnlmWpRuul1q2kH7bKM2ea7TpDyk5WfrfV9I33xi1aW3Uo7ulGtU55wCQPcI8iqWUFKNffrUD/Lr1ktOZvs/Hx77PrX17S9c0t79RBwAAyA+WZek/zaX/NLe0eYvR7LlGP22QnC5p2Qpp2Qqjltcbdetq6crG9usBIDOEeRQrEYeNliw1WrJUijyRcV+1qtJd7S21vV0KC+ODEwAAFKzGjSy9PtbSzl12qP9hjWSMtG69tG69UYP6Ureu0o03MLgA4EKEeXi906eNvvtB+naZfU/8+QID7XvY7rrTUuNGfPsNAAAKX53alka9Ymn/fqMFC42+XW5ffr/tb+ml4UZVKktdOkvt7pACAzlXAWAjzMMrpV5G/+1yox9/lJKSM+6vX98O8G1ulUJC+FAEAADuV62apeefs/ToI0aLvjD6YrEUFycdipDenGD0/gdSu7ZG99xtqerlnL8AxR1hHl4jJcUeeV+z1mjVd1J0dMb94eHS7W2ktndYqnkFH4AAAKBoCg+31O9RSz27GX29RFr4qdHRY9KpWGnBQmnBQqOrr7JDfasbWSoXKK4I8/BoiYlGv260A/y6dfaH3PkCAqRWN9oBvllT7jcDAACeIzjYUudOUscO9lr1X3xp9Odf9r5Nf0ib/jAqVVJqfatR61vtWwYdDs51gOKCMA+PkpxstH2H/QH2+yajzVsyrgcvST4O6aqrpDtus3RzK/uDEAAAwFP5+lpq01pq09rSvv1G//vKXlb39Gl7IOPzxdLni43Kl5duudnoxpaWGjW03wfAexHmUWS5XEaHD0u7dks7dxtt3y5t3iIlJFz4Wn8/6T//kVrdaKnl9VKpUnx4AQAA71O9mqUnB1nq19ee/f6bpfZ69S6XdPy49MlC6ZOFRiVLSi2uM7qmuX11YtmynBsB3oYwD7eLizOKOCwdPixFHLaXj9u/X9q9R4qPv/j7qlSWrr5KuuY/lq69hhF4AABQfAQEWLr9Nun22yxFRRl9/4O0crXRlq328naxsdKy5dKy5UaSVK2qUbOmUrOmlppcKZUuzXkT4OkI8yhwLpdR5Ak7rB8+IkVEpIf3w4cvvM89M5YlVakiXdlYanqVpauvksqX50OooBhjZIxxdzWQT1wul1wul7urgSKK9oGs2J8F9mdCQbUTy7JYGvYShYdbur+jdH9HS9HRRus3SD+uM/r1t/QrGvcfsB+fL7Y/36tUNmrYQGrQwFLDBlKtmlyWD3gay+TwjD3631ODo9CEhYUV+X9/p9MO6Pv361xQNzp8xA7rR47aa6XmVIkSdnCvVdNed7V2LemKGoy8X0xBtI+xY8dq/Pjx+XpMAIDnefHGENUN99GOKKdGrz1TIL9j6NCh+u9//1sgxy7ukpONtv0t/b5J2vi70dZtFz8n8/eX6tWV6teTatW0VKuWVL2a5OeX9fmXJ5ynwr1oI3kTFhaW7WsYmUeuOJ12SN+3T9q7T9q7z2jvXunAgQvXcr8Yy5LKl5cqVZQqV5IqV7ZUqZJdrlRJKlmC0A4AAHCp/PzsS+qbXCn1fshSQoI9efDWbdKWrXa4P33afm1SkvTXZvsh2WN9vr5StWpGtWvZAf+KGlLVy+3zOGbNB9yPMI9MOZ1GR4+mBnZp716jvfvsy7OSkrJ/f1CgHcwrVZQqVZYqVUwP7BUuYz1UAACAwhYYaOk/zaX/NJckS8YYHTxkh/ut24y2bZP+2SulpNivT0mR9uyxH6kBX7KX/q1Sxajq5VLtWvEqWdLossuky8rbj5AQzvOAwkCYL+b+Hdr37bND+779OQvt4eFSjepS9epSjeqWqlezv7EtXVrc/wYAAFCEWZalqpfb527t7rDP25KTjfYfsFcT2r3HaPduaffujHMcJSamh/zvvj97wXFDQ+xl8sqVk8LCpFKlpNKlLIWVts8RS5Wyf5YuJYWGcs4I5BVhvhgwxigqyr6X/VCEdCjC6HCEdPCQPdL+73XaMxNe5lxgr5Ee2mtUl0qWpPMFAADwFn5+lmrVtOcukuzzPGOMTpywB3sOHJQOHjTnfkpHj9mz558v7owUt9ce5U+X+TRdPj5S6VLGDvelU4O/Pdt+6nOl056TSpZkoj4gFRPgeYCsJo1wuYxOn5YiT9iPE5GpZbvTPXbMnkE+s7XZM5MW2qtL1atbqlGd0F7UFcSkIsxm712YeAZZoX0gK/4bJivoTITOhlRW0nWPF8jvYDZ7zxYaWlq7d0fr2HHZj2PSseNGx49LJ05IMTH2I6dzK2XHsuzAHx5un7eWKWP/DC9j2eXzng8JYdS/KOBzJm+YAK8IS0kxSkiwQ3b8Wfvn2bP/epx7TopXVJRLsaftNUNjY2WXT0mn46TcrhRjWfb9TJUrnwvt1axzI+6Edtg4sfIuDodDDofD3dVAEUX7QFbszwL7M4F2gsz4+VmqUMFShQrnP5vxHMIYo7NnpZhT6eE+Jubc9imTtn3qVPrzZy6yeIIx6e+37+VP23PBawMCpDJljB32w1ODv5XxS4Bw+1YARvvhibw2zG/6w2jTH7pgdNGY9EuBjDnvf3uTyf7z9p3/nrR9xp4YJCnJfiSe+5mcnP7cxZ7PzVJt0oX3ImWnVEmpbDmpfLn0GeMrV5KqVJYqVGACOgAAkAO+gRl/AnlgWZaCg6XgYHty5H/tzfQ9SUlGsbFSdEx6wD91SoqONjp5Uoo6KUVFSSdPSiejJafzwmMkJkpHjtiPdJlfeRgUaBQcLAWdq2dwkP0ICpYC/CVfP8nPN/2nn5/9BYD9U/JxSJZDcpz/sCSHj/3TyuQ5x79f77AH3Xx87J+Z7jv3ezL8voscM+11mRzTsjzvqgX7ylFd9JE6wJlaTs1rvr7eu8S1V4b52Fijp4eYTP+n9lRBQfY9QiVLnPuZWi4llSppqWy4PclI2bJS2XApIMA7GywAACg8KbVvk3UsTCmXNXd3VVDM+Ptb9nlt2X/vufAc1+UyOhV7LtiflE6khvyTJq2cGvzjLjLifzbBfuhkbmrp2bckOhwmwxcEF11t8CLPZ/ZdQObPnbxwYoVzXKmDpibz8vmPvLIsqU9v6eFe3pePvDLMh4ba62n+vinr19nfSJ0rpz2Zs32pP3197W/r/P3tb+j8/TM+0vad/7yfvTRIYKD9jV9gkB3Wg4OkwEC7HHTuZ2CgVLFimE6dismXfxsAAICcMqWryqdGExnud0UR5nDYM+WHlZZqXnH+ngvDW2KiUdS50J86uh8dbXTmjBQfb9/+Gh9vP86eKycnS8kp9s+Ucz+9YdAwdSS74P8W937pYYy07W+ji34r4cG8Msw7HJbemWDJ6TQZQ7mHXUqSynHRr8kAAAAA5FRAgKVKFf99uX/uz7VdLqOUlPRw7zKSy2kHR6dLMq70ny5X+n7XuUvA//0wxg7V5iL7z39/dsdM+90XPabJ8P7UOmeWuS82Ip7Z8xeL7AH+gUpMvHA2bmPsKwIs2Zf+y8pYdqTmuPPKqbcHWBm2L/5wWJJ/gHTzTTn5r+p5vDLMp/LxIQQDAAAAyF8Oh5V21a3nKdyMFBYWoujopEL9ncUF05ICAAAAAOBhCPMAAAAAAHgYwjwAAAAAAB6GMA8AAAAAgIchzAMAAAAA4GEI8wAAAAAAeBjCPAAAAAAAHoYwDwAAAACAhyHMAwAAAADgYQjzAAAAAAB4GMI8AAAAAAAehjAPAAAAAICHIcwDAAAAAOBhCPMAAAAAAHgYwjwAAAAAAB6GMA8AAAAAgIexjDHG3ZXAxZ0+fVobN25Us2bNVKJECXdXB0UM7QPZoY0gK7QPZIc2gqzQPpAd2kjBYmS+iIuLi9MPP/yguLg4d1cFRRDtA9mhjSArtA9khzaCrNA+kB3aSMEizAMAAAAA4GEI8wAAAAAAeBjCfBEXGhqqVq1aKTQ01N1VQRFE+0B2aCPICu0D2aGNICu0D2SHNlKwmAAPAAAAAAAPw8g8AAAAAAAehjAPAAAAAICHIcwDAAAAAOBhCPMAAAAAAHgYwjwAAAAAAB7G190VKA4iIyO1fv16bdmyRVu2bNHff/+ts2fPqnLlylq9enWejvnzzz+rV69eWb6mSZMmWrhwYZ6Oj8KzY8cOrVq1Sr/99pt27typmJgYBQQEqHr16rrlllvUs2dPlSpVKk/HPnbsmCZPnqy1a9cqMjJSJUqUULNmzdSnTx9dddVV+fuHoMAURBuhD/Ee33//vdasWaOtW7fqyJEjio6Olo+PjypUqKBrrrlGvXr1Uq1atfJ0bPoQ71AQbYQ+xLsdOXJE7du315kzZyRJq1atUpUqVXJ9HPoQ73Sp7YP+I/8Q5gvBN998ozFjxhTIsf39/dWoUaNM99WuXbtAfifyz4EDB3TPPfekbZcvX15169ZVZGRk2pc/CxYs0AcffKC6devm6tjbtm3TQw89pNjYWAUFBal27dqKjIzU8uXLtWrVKr366qu6//778/tPQj4ryDYi0Yd4g1mzZumnn36Sr6+vypUrpzp16ig2NlYHDx7U3r179dlnn2n06NHq0KFDro5LH+I9CqqNSPQh3urll19OC2p5RR/ivfKjfUj0H/mBMF8IQkND1aJFCzVq1EiNGjXSkSNHNHbs2Hw5drly5TR//vx8ORYKnzFGZcqUUffu3XXvvffq8ssvT9u3ceNGPffcc4qIiNDAgQO1ZMkS+fv75+i4iYmJGjhwoGJjY3X99ddrwoQJKl26tIwxmjt3rkaNGqVhw4apSZMmeR6xQ+EoqDaSij7E83Xo0EF9+/ZVs2bNFBgYmPb8sWPH9Oqrr2rFihV6+eWXdc0116hSpUo5OiZ9iHcpiDaSij7E+3z22Wdau3atbr/9di1fvjxPx6AP8V750T5S0X9cOu6ZLwSdOnXSrFmz9Oyzz6pt27YqX768u6uEIqJChQpatWqVBg0alCGkSVKzZs30+uuvS5IOHjyotWvX5vi4n376qQ4fPqyQkBC99dZbKl26tCTJsiz17NlTd911l1JSUjRp0qR8+1tQMAqqjcB7dOjQQS1btswQ0iTpsssu05tvvqmSJUsqKSlJ33//fY6PSR/iXQqijcA7HT9+XGPHjlXlypX15JNP5vk49CHeKb/aB/IPYR5wo4CAAAUHB190f7NmzVSiRAlJ0p49e3J83KVLl0qS2rVrp7CwsAv2d+3aVZK0evVqnT17NjdVRiErqDaC4iEgICDtS6DExMQcv48+pPjIaxuBdxoxYoRiY2M1cuRIBQUF5fk49CHeKb/aB/IPl9l7uLi4OA0bNkwHDx6Uj4+PqlSpoptuukm33HKLLMtyd/VwiZxOp1JSUiQpy0D37/f89ddfkqT//Oc/mb6mSZMm8vPzU0JCgv7++281bdo0fyqMQpeXNnI++hDvdvLkSf3zzz+SpMaNG+foPfQhxUte2sj56EO8x9dff61Vq1bpnnvu0Q033KBDhw7l6Tj0Id4pv9rH+eg/Lh1h3sOdOnVKn3zySYbn5s+fr8aNG+vdd99VxYoV3VQz5IcVK1akfWN9zTXX5Og9hw8fVlJSkiSpatWqmb7G399fFStW1IEDB7R3714+RD1YXtrI+ehDvNPJkye1efNmTZw4UWfPntVdd92l5s2b5+i99CHFw6W0kfPRh3iHkydPatSoUQoLC9MLL7xwSceiD/E++dk+zkf/cekI8x4qMDBQd999t+666y7VqlVL5cuXV3R0tFavXq2JEydq8+bNeuSRR7Ro0SKFhIS4u7rIg1OnTmncuHGSpNatW6tOnTo5el9MTExaOavlylL3xcbG5r2ScKu8thGJPsQbrVy5UgMHDszwXJUqVTRy5Eh17tw5x8ehD/Fe+dVGJPoQbzNy5EhFR0fr9ddfV5kyZS7pWPQh3ic/24dE/5GfCPMeqkmTJmrSpEmG5y677DI9+OCDuu6663T//ffrn3/+0dy5c9WvXz831RJ5lZKSoqefflqHDx9WmTJlNGLEiBy/9/x7HrOa2TwgIECSuFfNQ11KG5HoQ7xR6dKl1bRpUxljdPz4cR09elQRERH6+uuv1bx5c9WsWTNHx6EP8V751UYk+hBvsnLlSi1dulQ33HBDhqVQ84o+xLvkd/uQ6D/yExPgeaEaNWqkTSyybNkyN9cGueVyuTR06FCtX79eISEhmjp1aq5WQEj9cJSUdplbZlI/bJnAxPNcahvJDn2IZ2revLnmz5+vBQsWaPXq1fr+++/VsWNH/fLLL+rcubMiIiJydBz6EO+VX20kO/QhnuPUqVMaMWKEgoOD9corr+TLMelDvEdBtI/s0H/kDmHeSzVr1kyStG/fPvdWBLlijNGLL76ob775RsHBwZo+ffoF31xm5/xL2s6/1O3fTp06JUkqWbJknuoK98iPNpIT9CGer3z58nrttdfUsmVLxcXFaerUqTl6H31I8ZHXNpIT9CGeYfz48YqMjNRTTz2lKlWq5Msx6UO8R0G0j5yg/8g5LrP3Un5+fpKUNss1ij5jjF5++WV9/vnnCgoK0tSpU/M0GVHlypXl7++vpKQkHThwIK1DPF9SUpKOHDkiyf4GFJ4hv9pITtCHeI9bb71V69at05YtW3L0evqQ4ie3bSQn6EM8Q+p/82nTpmnGjBkZ9jmdzrRyp06d5OPjo3bt2umll17K8pj0Id6jINpHTtB/5Bwj815q165dksQskB7klVde0aeffqrAwEBNmTJF1157bZ6O4+Pjk7a80K+//prpa/78808lJycrMDBQ9evXz3OdUbjyq43kBH2I90g9GTr/xCsr9CHFT27bSE7Qh3iWkydP6sSJExke0dHRafujo6N14sQJxcXFZXss+hDvk5/tIyfoP3KOkXkvFBcXp3nz5kmSWrZs6ebaICdGjRql+fPnKyAgQJMnT1aLFi0u6Xjt2rXTxo0b9e233+q5555TWFhYhv0LFiyQJN18883cq+Yh8ruNZIU+xHsYY9LuOWzYsGGO30cfUnzktY1khT7Ec3z55ZcX3Xfo0CG1bt1akrRq1apcXWZNH+IdCqp9ZIX+I3cYmS/Cxo0bp1tvvVXPPPPMBfuefPJJrVmz5oLLT3bt2qVHHnlEERERCgkJUZ8+fQqrusij8ePHa86cOWkhLacdV1bt44EHHlDFihV15swZDR48OO2eNWOM5syZo6+//lq+vr4XLFGEoqkg2gh9iHfYvHmzJkyYoH/++eeCfREREXrmmWf0+++/y8fHRz179sywnz6keCioNkIfAvoQZIX+o3AwMl8Ijhw5og4dOqRtJycnpz1//mWyTZs21ZQpU9K2o6OjFRERocqVK19wzPXr12vZsmUKCAhQ1apVFRwcrKioKB06dEiSvfzM22+/nel7UXRs2rRJH3zwgSQpNDRUkyZN0qRJkzJ9batWrdS/f/+07azaR2BgoN5991317t1b69ev180336wrrrhCkZGROn78uBwOh0aMGJGrdcnhHgXVRuhDvEN8fLymTp2qqVOnqnTp0qpUqZL8/PwUFRWliIgIGWMUHBys0aNHq0GDBhneSx9SPBRUG6EPAX0IskL/UTgI84XA6XRmOpuny+XK8Hxu7jN59tln9euvv2r79u2KjIxUXFycgoKC1LhxY7Vq1UrdunVTeHh4PtQeBen8JVuioqIUFRV10ddWq1YtV8du3LixvvrqK02ZMkVr167Vzp07VaJECbVp00aPPvqorr766jzXG4WnoNoIfYh3qFevnl5++WX98ssv2rFjhw4ePKizZ88qNDRUTZo0UYsWLdS1a1dVqFAh18emD/EOBdVG6EOQHfoQXAz9R/6xjDHG3ZUAAAAAAAA5xz3zAAAAAAB4GMI8AAAAAAAehjAPAAAAAICHIcwDAAAAAOBhCPMAAAAAAHgYwjwAAAAAAB6GMA8AAAAAgIchzAMAAAAA4GEI8wAAAAAAeBjCPAAAAAAAHoYwDwAAAACAhyHMAwAAAADgYQjzAAAAAAB4mP8H+ifo7X0KS48AAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -4758,14 +4814,13 @@
       "pytensor: 2.31.7\n",
       "xarray  : 2025.7.0\n",
       "\n",
-      "numpy      : 2.3.1\n",
-      "matplotlib : 3.10.3\n",
-      "causalpy   : 0.4.2\n",
-      "pandas     : 2.3.1\n",
-      "arviz      : 0.21.0\n",
-      "statsmodels: 0.14.5\n",
-      "pymc       : 5.23.0\n",
-      "patsy      : 1.0.1\n",
+      "numpy     : 2.3.1\n",
+      "patsy     : 1.0.1\n",
+      "causalpy  : 0.4.2\n",
+      "arviz     : 0.21.0\n",
+      "matplotlib: 3.10.3\n",
+      "pymc      : 5.23.0\n",
+      "pandas    : 2.3.1\n",
       "\n",
       "Watermark: 2.5.0\n",
       "\n"

From 05fccdd91e0224d924d2a00397d126b32aae0771 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sat, 19 Jul 2025 09:13:35 +0100
Subject: [PATCH 29/31] remove redundant alpha parameter in model class

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/pymc_models.py                     |   10 +-
 docs/source/notebooks/inv_prop_latent.ipynb | 1348 ++++++++++---------
 2 files changed, 681 insertions(+), 677 deletions(-)

diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index 2e34b1db..b85710bf 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -712,11 +712,7 @@ class initialisation.
             chosen = np.random.choice(range(propensity_scores.shape[1]))
             p = propensity_scores[:, chosen].values
 
-            alpha_outcome = pm.Normal(
-                "a_outcome", priors["a_outcome"][0], priors["a_outcome"][1]
-            )
-
-            mu_outcome = alpha_outcome + pm.math.dot(X_data_outcome, beta) + beta_ps * p
+            mu_outcome = pm.math.dot(X_data_outcome, beta) + beta_ps * p
 
             if spline_component:
                 beta_ps_spline = pm.Normal(
@@ -733,9 +729,7 @@ class initialisation.
                 splines_summed = pm.Deterministic(
                     "spline_features", pm.math.dot(B_f, beta_ps_spline.T)
                 )
-                mu_outcome = (
-                    alpha_outcome + pm.math.dot(X_data_outcome, beta) + splines_summed
-                )
+                mu_outcome = pm.math.dot(X_data_outcome, beta) + splines_summed
 
             sigma = pm.HalfNormal("sigma", priors["sigma"])
 
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index e44d2d98..bbf22935 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -240,7 +240,7 @@
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       },
@@ -1176,14 +1184,6 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -1207,7 +1207,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e3ea4e5d3d934523b516c198504f5574",
+       "model_id": "6ed910b3c2ec475f86cda93182c2abbe",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1226,14 +1226,6 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -1295,7 +1287,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1364,133 +1356,133 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>0.001</td>\n",
+       "      <td>-0.000</td>\n",
        "      <td>0.021</td>\n",
-       "      <td>-0.041</td>\n",
-       "      <td>0.039</td>\n",
+       "      <td>-0.039</td>\n",
+       "      <td>0.040</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.308</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>2.199</td>\n",
-       "      <td>2.420</td>\n",
+       "      <td>2.309</td>\n",
+       "      <td>0.057</td>\n",
+       "      <td>2.203</td>\n",
+       "      <td>2.419</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.292</td>\n",
-       "      <td>0.070</td>\n",
-       "      <td>1.159</td>\n",
-       "      <td>1.419</td>\n",
+       "      <td>1.290</td>\n",
+       "      <td>0.069</td>\n",
+       "      <td>1.164</td>\n",
+       "      <td>1.420</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-15.297</td>\n",
-       "      <td>0.296</td>\n",
-       "      <td>-15.865</td>\n",
-       "      <td>-14.754</td>\n",
+       "      <td>-15.291</td>\n",
+       "      <td>0.285</td>\n",
+       "      <td>-15.844</td>\n",
+       "      <td>-14.785</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>8.512</td>\n",
-       "      <td>0.162</td>\n",
+       "      <td>8.507</td>\n",
+       "      <td>0.157</td>\n",
        "      <td>8.217</td>\n",
-       "      <td>8.826</td>\n",
+       "      <td>8.810</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.854</td>\n",
-       "      <td>0.187</td>\n",
-       "      <td>1.510</td>\n",
-       "      <td>2.209</td>\n",
+       "      <td>1.776</td>\n",
+       "      <td>0.186</td>\n",
+       "      <td>1.421</td>\n",
+       "      <td>2.117</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
        "      <td>1.135</td>\n",
-       "      <td>0.041</td>\n",
-       "      <td>1.051</td>\n",
-       "      <td>1.208</td>\n",
+       "      <td>0.042</td>\n",
+       "      <td>1.057</td>\n",
+       "      <td>1.213</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.034</td>\n",
+       "      <td>3.039</td>\n",
        "      <td>0.061</td>\n",
-       "      <td>2.919</td>\n",
-       "      <td>3.146</td>\n",
+       "      <td>2.923</td>\n",
+       "      <td>3.154</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-3.914</td>\n",
+       "      <td>-3.810</td>\n",
        "      <td>0.207</td>\n",
-       "      <td>-4.301</td>\n",
-       "      <td>-3.527</td>\n",
+       "      <td>-4.172</td>\n",
+       "      <td>-3.405</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model_spline</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.728</td>\n",
-       "      <td>0.180</td>\n",
-       "      <td>1.390</td>\n",
-       "      <td>2.061</td>\n",
+       "      <td>2.014</td>\n",
+       "      <td>0.176</td>\n",
+       "      <td>1.693</td>\n",
+       "      <td>2.350</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.162</td>\n",
-       "      <td>0.040</td>\n",
-       "      <td>1.089</td>\n",
-       "      <td>1.238</td>\n",
+       "      <td>1.154</td>\n",
+       "      <td>0.038</td>\n",
+       "      <td>1.084</td>\n",
+       "      <td>1.227</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.070</td>\n",
-       "      <td>0.293</td>\n",
-       "      <td>0.530</td>\n",
-       "      <td>1.632</td>\n",
+       "      <td>0.960</td>\n",
+       "      <td>0.297</td>\n",
+       "      <td>0.380</td>\n",
+       "      <td>1.495</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.026</td>\n",
-       "      <td>0.984</td>\n",
-       "      <td>-1.858</td>\n",
-       "      <td>1.793</td>\n",
+       "      <td>-0.010</td>\n",
+       "      <td>0.986</td>\n",
+       "      <td>-1.924</td>\n",
+       "      <td>1.756</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-1.307</td>\n",
-       "      <td>0.088</td>\n",
-       "      <td>-1.470</td>\n",
-       "      <td>-1.143</td>\n",
+       "      <td>-1.309</td>\n",
+       "      <td>0.086</td>\n",
+       "      <td>-1.471</td>\n",
+       "      <td>-1.148</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
        "      <td>1.106</td>\n",
-       "      <td>0.043</td>\n",
-       "      <td>1.024</td>\n",
-       "      <td>1.184</td>\n",
+       "      <td>0.044</td>\n",
+       "      <td>1.025</td>\n",
+       "      <td>1.190</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.665</td>\n",
-       "      <td>0.062</td>\n",
-       "      <td>2.545</td>\n",
-       "      <td>2.779</td>\n",
+       "      <td>2.666</td>\n",
+       "      <td>0.061</td>\n",
+       "      <td>2.550</td>\n",
+       "      <td>2.778</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1499,22 +1491,22 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model        alpha_trt       0.001  0.021  -0.041    0.039    1.0\n",
-       "                     beta_[trt]      2.308  0.058   2.199    2.420    1.0\n",
-       "                     beta_[x1]       1.292  0.070   1.159    1.419    1.0\n",
-       "                     beta_ps       -15.297  0.296 -15.865  -14.754    1.0\n",
-       "                     alpha_outcome   8.512  0.162   8.217    8.826    1.0\n",
-       "2-stage-model        beta_[trt]      1.854  0.187   1.510    2.209    1.0\n",
-       "                     beta_[x1]       1.135  0.041   1.051    1.208    1.0\n",
-       "                     alpha_outcome   3.034  0.061   2.919    3.146    1.0\n",
-       "                     beta_ps        -3.914  0.207  -4.301   -3.527    1.0\n",
-       "2-stage-model_spline beta_[trt]      1.728  0.180   1.390    2.061    1.0\n",
-       "                     beta_[x1]       1.162  0.040   1.089    1.238    1.0\n",
-       "                     alpha_outcome   1.070  0.293   0.530    1.632    1.0\n",
-       "                     beta_ps         0.026  0.984  -1.858    1.793    1.0\n",
-       "Simple Regression    beta_[trt]     -1.307  0.088  -1.470   -1.143    1.0\n",
-       "                     beta_[x1]       1.106  0.043   1.024    1.184    1.0\n",
-       "                     alpha_outcome   2.665  0.062   2.545    2.779    1.0"
+       "1-stage-model        alpha_trt      -0.000  0.021  -0.039    0.040    1.0\n",
+       "                     beta_[trt]      2.309  0.057   2.203    2.419    1.0\n",
+       "                     beta_[x1]       1.290  0.069   1.164    1.420    1.0\n",
+       "                     beta_ps       -15.291  0.285 -15.844  -14.785    1.0\n",
+       "                     alpha_outcome   8.507  0.157   8.217    8.810    1.0\n",
+       "2-stage-model        beta_[trt]      1.776  0.186   1.421    2.117    1.0\n",
+       "                     beta_[x1]       1.135  0.042   1.057    1.213    1.0\n",
+       "                     alpha_outcome   3.039  0.061   2.923    3.154    1.0\n",
+       "                     beta_ps        -3.810  0.207  -4.172   -3.405    1.0\n",
+       "2-stage-model_spline beta_[trt]      2.014  0.176   1.693    2.350    1.0\n",
+       "                     beta_[x1]       1.154  0.038   1.084    1.227    1.0\n",
+       "                     alpha_outcome   0.960  0.297   0.380    1.495    1.0\n",
+       "                     beta_ps        -0.010  0.986  -1.924    1.756    1.0\n",
+       "Simple Regression    beta_[trt]     -1.309  0.086  -1.471   -1.148    1.0\n",
+       "                     beta_[x1]       1.106  0.044   1.025    1.190    1.0\n",
+       "                     alpha_outcome   2.666  0.061   2.550    2.778    1.0"
       ]
      },
      "execution_count": 8,
@@ -1606,7 +1598,7 @@
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        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node2\" class=\"node\">\n",
+       "<g id=\"node3\" class=\"node\">\n",
        "<title>like</title>\n",
        "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"217\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"217\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">like</text>\n",
@@ -1620,7 +1612,7 @@
        "<polygon fill=\"black\" stroke=\"black\" points=\"177.52,-209.6 183.18,-200.64 173.17,-204.11 177.52,-209.6\"/>\n",
        "</g>\n",
        "<!-- Y -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
+       "<g id=\"node2\" class=\"node\">\n",
        "<title>Y</title>\n",
        "<path fill=\"lightgrey\" stroke=\"black\" d=\"M232,-98C232,-98 202,-98 202,-98 196,-98 190,-92 190,-86 190,-86 190,-52.5 190,-52.5 190,-46.5 196,-40.5 202,-40.5 202,-40.5 232,-40.5 232,-40.5 238,-40.5 244,-46.5 244,-52.5 244,-52.5 244,-86 244,-86 244,-92 238,-98 232,-98\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"217\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
@@ -1634,7 +1626,7 @@
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        "</g>\n",
        "<!-- spline_features -->\n",
-       "<g id=\"node3\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
        "<title>spline_features</title>\n",
        "<polygon fill=\"none\" stroke=\"black\" points=\"257.88,-320.73 160.12,-320.73 160.12,-263.23 257.88,-263.23 257.88,-320.73\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"209\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">spline_features</text>\n",
@@ -1656,7 +1648,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"327\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>beta_&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M300.37,-262.73C290.81,-252.62 279.94,-241.14 270,-230.73 264.46,-224.92 258.58,-218.78 252.82,-212.79\"/>\n",
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@@ -1675,16 +1667,8 @@
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        "<polygon fill=\"black\" stroke=\"black\" points=\"330.5,-332.48 327,-322.48 323.5,-332.48 330.5,-332.48\"/>\n",
        "</g>\n",
-       "<!-- beta_ps -->\n",
-       "<g id=\"node7\" class=\"node\">\n",
-       "<title>beta_ps</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"429\" cy=\"-413.79\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
-       "</g>\n",
        "<!-- alpha_outcome -->\n",
-       "<g id=\"node8\" class=\"node\">\n",
+       "<g id=\"node7\" class=\"node\">\n",
        "<title>alpha_outcome</title>\n",
        "<ellipse fill=\"none\" stroke=\"black\" cx=\"460\" cy=\"-291.98\" rx=\"70.18\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"460\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
@@ -1692,13 +1676,13 @@
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        "</g>\n",
        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
        "<title>alpha_outcome&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M422.79,-257.21C410.99,-247.71 397.49,-238 384,-230.73 347.3,-210.94 302.23,-196.6 268.17,-187.52\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"269.09,-184.14 258.53,-185.02 267.33,-190.91 269.09,-184.14\"/>\n",
        "</g>\n",
        "<!-- sigma -->\n",
-       "<g id=\"node9\" class=\"node\">\n",
+       "<g id=\"node8\" class=\"node\">\n",
        "<title>sigma</title>\n",
        "<ellipse fill=\"none\" stroke=\"black\" cx=\"606\" cy=\"-291.98\" rx=\"57.98\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"606\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
@@ -1706,11 +1690,19 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"606\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n",
        "</g>\n",
        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
        "<title>sigma&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M575.7,-257.14C565.05,-247.17 552.38,-237.2 539,-230.73 451.12,-188.18 335.81,-177.95 269.71,-175.82\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"269.95,-172.32 259.86,-175.56 269.77,-179.32 269.95,-172.32\"/>\n",
        "</g>\n",
+       "<!-- beta_ps -->\n",
+       "<g id=\"node9\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"429\" cy=\"-413.79\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
        "<!-- beta_ps_spline -->\n",
        "<g id=\"node10\" class=\"node\">\n",
        "<title>beta_ps_spline</title>\n",
@@ -1729,7 +1721,7 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x17f73fb60>"
+       "<graphviz.graphs.Digraph at 0x285eec050>"
       ]
      },
      "execution_count": 9,
@@ -1758,7 +1750,7 @@
     {
      "data": {
       "text/plain": [
-       "array([0.225, 0.308, 0.381, 0.443, 0.502, 0.563, 0.624, 0.691, 0.769])"
+       "array([0.225, 0.308, 0.38 , 0.442, 0.502, 0.563, 0.624, 0.691, 0.769])"
       ]
      },
      "execution_count": 10,
@@ -1789,7 +1781,7 @@
     {
      "data": {
       "text/plain": [
-       "array([0.   , 0.001, 0.014, 0.11 , 0.505, 0.886, 0.986, 0.999, 1.   ])"
+       "array([0.   , 0.001, 0.014, 0.109, 0.505, 0.886, 0.986, 0.999, 1.   ])"
       ]
      },
      "execution_count": 11,
@@ -1819,7 +1811,7 @@
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1875,7 +1867,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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HHngg7vldvHix17dvXy87O9t74403ks4rn4mgtu95nvfAAw942dnZXr9+/aKf8fk76KCDvKuvvjquP8vPz/c8z/Ouu+46Lzs72+vbt6+3fPny6Pdz5871jjrqKC87O9sbMmRIYLmwPr7++uvodytXrvROO+20wOempKTEO++887zs7Gzvxhtv9NavXx/9bvXq1d4FF1zgZWdne4MHD447j22uQ4cO3oUXXuitWbMm+t3EiRO9gw46yMvOzvZ++umn6OcbNmzw2rdv73Xt2tWbNWtWXHr5+fnemDFjSj0Lle3Dp06d6mVnZ3v9+/cP/P6ll16qcD/ypz/9ycvOzvY6d+7svfDCC96yZcuSOm/u3LnRfnXIkCHe9u3bo98VFhZ6Y8aM8WbOnBn9bM2aNV6XLl287Oxs78EHH/QKCgo8z/Pr6rnnnouWu1tWybStRx991MvOzvbOOOMMb/78+dHv8/LyvHvvvdfLzs72zjrrrKTLxDCMqsXC7A3D2CWMHz8eeXl5aNWqFQ455BAA/mzx8ccfDyC2MZ4yduxYrFmzBs2aNcODDz4Y3Z04HA7j0ksvRc+ePQOvNW3aNPzwww/IzMzEI488EvdqsL59++JPf/pTYDjnzqBZs2Y44ogjUFBQEJ01VcaNGwfP89C7d++4Waxnn30WhYWFuOWWW3DuueciHI5117169cKNN96IkpISvPbaa0nlIxwO46GHHkJWVhbWr1+P+++/H8cddxx69uyJv/71r3jjjTfKDDVmGo899ljcrOkpp5yCP//5zwCA//znP0nlJRnOOeecuFmnOnXqRF/p9cUXX8Qd++OPP2Ls2LFo2bIlnnnmGey7777R7+rVq4chQ4agefPmGD9+fDQkuyK44dv6c/rpp1fyDoOpTL2vXbsWw4cPB+CHELtrc5s1a4brrruuyvKYk5MT3bztnnvuQYcOHaLftWrVCv/6178AAB9//DFWrFhR6vzi4mJce+21cRsANmnSBDfccAMAYMqUKVWWV6WoqAh33XVXtP8BgP333x9XXHFF4HXfffddrFixAieeeCLuvPPOuOiWtm3b4tFHH0UoFMLLL79cJfkbN24c/vvf/wLwo5dcGjZsiMceeyyuP8vIyMCyZcswfvx4AP4s9n777Rf9vlOnTtGImeHDhwcuNykuLsZ1110XF63TokWLaD2OHz8+bvnD559/jjlz5qBTp04YMmQIGjduHP1u7733xuOPP45atWrhv//9b3R/CCUlJQWPPvpo3NssevXqFX0VpD7fK1asQCQSQY8ePdC1a9e4dDIyMtC3b1+0b9++1DUqw5FHHomWLVti4cKFWLBgQanv33vvPQCI65fK45577kH9+vWxfft2PPbYYzjppJPQo0cPDBw4EEOHDk0YXfb000+jqKgIZ599Nm699VbUqlUr+h0jAw4//PDoZ6zbgw46CHfccUc0wiQcDuPqq6/Gcccdh6KiomiEg0uitrVx40a88sorqFOnDp577rm45QKZmZm466670KlTJ3z//feYNWtW0uViGEbVYWLeMIxdAsV6v3794j7v378/AF+4uwKbG7adc845SEtLK5XmBRdcEHgtGoOnnHJKYLhuovN2FrzHoE2t+JmWS2FhISZPnoyUlJSEhiPXHc+cOTPpfBx11FF4//338cc//jH6Cq9169ZhwoQJeOCBB3DCCSfg9ddfT3j+SSedFPg+dJbnN998E10juqMEveGgXbt2yMjIwLZt27Bp06bo5xMmTADg17cKLpKVlYUjjzwSnudVyuDs2LEjunTpEvhz8MEHVzi9RFS23qdMmYKioiIcdthhcQb+zmL27NnIy8tDixYtogJMOeSQQ9C5c2d4noepU6cGphFUv506dQKACq2brwj16tXDSSedlPC6uq8EgKhA/uMf/xiYXvv27dGyZUv88ssvpdZtl8f69etx/vnn4/zzz8d5552Ho48+GjfeeCOKiorQuXPnwFcannTSSXGijkydOhWe56Fr166B7fHkk0/G3nvvjdzc3OgSDyUtLS2wPtq3b4+uXbvC87xoXwwg6pQ888wzkZpaerVm06ZN0alTJ+Tm5uL7778v9X3Pnj0Dw+KD6p/h8N99991O3yg1FArhzDPPBBAT7mTBggVYuHAhmjRpktCJHET79u0xZswYXHLJJVGnx6ZNmzBlyhQ8+uijOPHEE/H444/H7b2Qn5+Pr776CgCijqby4HN24YUXBn4/YMCAuONcErWtyZMno7CwEMccc0xgnYXD4ahDfsaMGUnl1TCMqsXWzBuGsdNZu3ZtdDMiV8wfe+yxqFevHjZs2ICpU6fGzdbxfeiJdldP9Hl557Vu3Rqpqam7bHb+5JNPxn333Ydp06Zh48aNUQfDTz/9hIULF6Jhw4ZxuxkvW7YMBQUFSEtLw8CBAwPT9P63tnbt2rUVykurVq3w4IMP4v7778fChQsxb948fPnll5gyZQpyc3Px4IMPYq+99sIZZ5xR6twDDjggMM19990X6enpKCwsxIoVK6pkpkxnF5WGDRti9erVyM3Nja7HXrRoEQBf1PN9zi4UAhUtL6Dir6arLJWt9yVLlgAADj300J2eR8BfXwv47SHRWvG2bdtizpw50WdRadCgQeB6dq7LriqHkItGbARdd/v27XGfs109+eSTeP755wPPpVNp7dq15a7bVgoLC6PCOhQKoXbt2jjssMPQp08fXHDBBYHvmC+vv2vbtm3g9+FwGAcccADWrFmDZcuWlYrc2HvvvQOdYLzm7Nmz4+px4cKFAID//ve/CXfd5/FBm7Qlqgf2i1r/zZo1wymnnIKPP/4YJ510Erp3745u3bqha9euOOywwwKdCTvCWWedhWeffRZjxozB3//+92j6FPf9+/ev8Ks7mzRpgttvvx233347lixZgnnz5uHrr7/GpEmTsHXrVjz//PNIS0uLboC6fPlyFBUVoW7dugn7XJfy2gDX6//222/IyckpVd+J2hafge+++w7nn39+4DEbNmwAULm+1TCMHcfEvGEYO50PPvgAkUgEHTp0KGWcpKen45RTTsGIESPw/vvvx4l5GnWJNsPS8E6F5yXafCscDqNBgwa7bBfeunXr4thjj8XEiRPx0UcfRWdPaAifcsopcUbptm3bAPhhwUEzaUpBQUGl8hQOh3HQQQfhoIMOwrnnnotVq1bhqquuwqJFi/Dvf/87UMwn2jwuFAqhYcOGWLNmTSlBVFmCZomYbyB+ozCW1/Lly+N2AQ+isuW1K6hsvTN0mtEWO5vynksgsUAGyq/bnUWi6yZySLBcf/jhh3LTDgonL4uWLVti0qRJFTqHy4xcdrQ+ytoUMug8lguFXlkElUtFnm3AXzrQtm1bvPPOO/jyyy+jUQINGzbEFVdcgUsvvbTK2k7Lli3Ro0cPfP3115gyZQp69eqF4uLiaF9dkRD7INq0aYM2bdrgjDPOwKZNm3DDDTdg2rRpGDZsGK688kqkp6dHyzfI4ZUItoFEdamfb9++vZSYT9S22Cdx88Cy2J37VsPYkzExbxjGTueDDz4A4BvF+moul4kTJ8bNGtDoS7SWmzMCLjxPQ7GVSCRS5iuXdgb9+vXDxIkTMXbs2KiYHzduHIDSu9jXrl0bgD8rtbPWD7u0aNECt9xyC6688kosX74cW7ZsQb169eKOSVQPnudFv2PedyWs7wcffDBhSHRNoLL1zvO2bt26U/LlUt5zCcSezepoD1VFrVq1sHXrVowfPx6tWrWq7uwkZEfro6zzgp5rXu/ll1/eJe9Hz8jIwHXXXYfrrrsOS5YswaxZs/DZZ59h8uTJGDJkCADg8ssvr7LrnX322fj6668xevRo9OrVC1OmTMGGDRvQsWPHCu9IXxYNGjTAXXfdhb59+yI3Nxc//fQTDj744GhZU0gnQ61atbBt2zZs2LAhMKpJx8qKPJOs66uvvho33nhj0ucZhrHrsDXzhmHsVObPn49FixYhFAqhcePGCX/S0tKQn5+PTz75JHouX5O1dOnSwLQZXuxS3nkMY6wIO/rqqV69eqFWrVr45ptvsGrVKsydOxfLly9HixYtSm3s1KpVK6SlpWH9+vW71OmgoeRB5ZOovH/99VcUFhYiHA4nDI/fmTC0NJmZwt2ZytY77/+7775L+pwdac98BdWSJUsSvkqNr39M9lV3uyMMPV68eHE156RsWMaJXrkZiUSifWFQfaxevTphRA2feT2P5VIdz1ubNm1w3nnn4fnnn8c999wDAHj77beTOjfZNn/SSSehbt26mDRpEjZv3lypje+SRZccsM9t3bo10tLSsHXr1oRjmEt5bYBtuHHjxgmXVATBvmV3fwYM4/eMiXnDMHYq3PjuiCOOwNSpUxP+cMMn3dX+mGOOAQCMHDkyUFxyB28Xnvfxxx8Hzs4nOq8s+H7miobTkszMTPTu3Rue52Hs2LHRsM1TTz21lJGZlZWFY445BpFIpMwN6SpCbm4u8vLyyjyG683r1q0bGLI7fvx4/Pbbb6U+Z3l26dIlYQjtzqR3794A/AiQRNEYNYHK1vtxxx2HtLQ0fPvtt5g9e3ZS5+xIe+7atSuysrKwevVqTJw4sdT38+bNw5w5cxAKhXD00UdXOP2KwrdAVHWYLzfLe+2118p8/3t1c8wxxyAUCmH27NmYP39+qe/Hjx+PNWvWoFatWujSpUup74uKijBy5MhSny9atAizZs0qVY8slxEjRlRraPVhhx0GIHhdfhDJtnnukl9UVIQ33ngDn332WdLvlleKi4uxZcuWMo/hcppwOBwV9pmZmdExLNHu8y48/s033wz8nv0Jj0sW9i1TpkwJ3P/CMIzqx8S8YRg7jZKSEowdOxYAcNppp5V5LL+fMWNGdG1e37590axZM6xZswZ333131AjzPA+vvvpqwlDkI488EgcffDDy8vLw97//Pc6gGjduHN56660Kb5xEQ2vOnDmV3jiPm/99+OGH+OijjwDEdrp3+dvf/ob09HQ899xzePHFF0sZoOvWrcOrr74afUVYeSxfvhy9e/fGs88+W+p1YcXFxRg9ejQGDx4MADj99NMD16BGIhHccsstcWG5n376adRQrMpQ14rQqVMn9OnTB5s3b8Zll11WStCUlJRg+vTpuPnmm1FYWFgteUyWytR706ZNo0s3rrvuuridxwF/Y6pnnnkm7rMdac916tSJboZ1//33x5X3ihUrcNtttwHwX6+2KyI1eC9VvZv2eeedh3333RfTp0/HLbfcUko0bt++HePGjcOgQYOq9LoVpVWrVlGB/Y9//CNuN/gffvgBDz74IAB/p/OgWdnU1FQ8/fTTceW3Zs0a/OMf/wDgi3etxxNPPBGHHXYYli5diquvvrrUPhWFhYX4/PPPo6+S3BG+/vpr/Otf/yo147x9+/boqzD11YhlUZE2f/bZZwMAnnvuORQVFaFXr15xr21LhtzcXPTq1QtDhgzBwoUL4xxCnufhs88+iz4rxx9/fJwD9a9//SvS0tLwzjvv4P/+7//iHLFFRUUYN25c3Js5zj//fNSpUwcLFizAww8/HO3nIpEIhg4dis8//xxpaWm49NJLK3QPzZo1w8UXX4yioiJcfvnl0Y1s9T7mzp2Le+65Z6e9hcIwjLKxNfOGYew0pk6divXr1yMjIwOnnHJKmce2bdsWBx98MObPn48PP/wQV155JWrVqoUhQ4Zg4MCBGDVqFMaPH4/9998fa9aswfr163HrrbfikUceKZVWKBTCkCFD8Oc//xlTpkzBsccei7Zt22LTpk1YuXIlLrjgAkyePLlC7xw/5phjUK9ePcyePRvHH3889t13X6SmpqJnz5648sork0rj6KOPRsOGDaO7Qbdp0ybhzu8HHXQQ/u///g+33norHnvsMTzzzDM44IADomHYdHgk2vXcJRQK4bfffsNTTz2Fp556Co0aNcLee++NoqIirFy5Mhpm261bt4RrIy+//HIMHz4cxx9/PNq2bYvNmzdHy/CCCy6IvjatOnjooYewdetWTJ06FWeeeSZatGiBJk2aIC8vDytWrIiK4ocffrjCaVNgJ+Lmm2+uslfCVbbeb775Zvzyyy+YOHEiLr/8cjRt2hTNmjXD+vXrsXbtWnieF90tG9jx9vy3v/0NP/zwA6ZPn44zzzwTbdu2RWpqKhYvXoySkhK0b98ed999d5WUSXn06dMHn3/+Oe69914MHz48Krr++c9/xr0Xu6LUrl0bL7zwAq688kqMGTMG48aNw/777486depgy5Yt+OWXX1BSUrLL3iJQFvfeey9+/vlnLFq0CCeffDIOPPBAFBcXR0XwUUcdheuuuy7w3M6dO6N27dq46KKL0Lp1a9SqVQuLFi1CcXEx9t13X9x1111xx4fDYTz99NO46qqr8NVXX+Gkk05Cq1atou9T5zKmRBuUVoTt27fjpZdewksvvYSGDRuiRYsWKC4uxvLly5GXl4e99toraadBRdp8p06d0K5du2hfXZkQ+1AohJycHAwbNgzDhg1DvXr10LJlS0QiEaxevTrqZM7Ozsb9999f6voPPfQQ7rjjDrzwwgt47bXXcMABByA/Px+//vorCgoKMGjQoGi/06xZMwwZMgR/+9vf8Oqrr2L06NHYb7/9sGrVKmzYsAHhcBh33XVXpd40cuONN2LdunX44IMPMGDAADRp0gTNmzdHYWEhfvnll+jYwdffGYaxazExbxjGToMh83/4wx+S2pn3tNNOw/z58/H+++9HjasePXrg7bffxpNPPolZs2ZhyZIlaNOmDW6//Xb07ds3UMwD/qt4Ro4ciSeeeAJffvklFi9ejFatWuGuu+7ChRdeGPh+7LKoU6cOhg0bhqeeegpz587Ft99+i0gkgpYtWyadRmpqKk455ZRoWLr7mj6XE088EWPHjsUrr7yCL7/8Ej///DPC4TCaNWuGE088Eb17905aQLdv3x7vv/8+pkyZgq+//horV67Ezz//jKKiIjRs2BDdunVD37590bdv34Q7Q7du3RrvvPMOnnjiCcyYMQM5OTlo3749LrzwwmrfeK527dr4z3/+g7Fjx2L06NH44YcfMH/+fNSvXx/t2rVDt27dcNJJJ0VDbStC0Luylare16Ay9Z6enh59pda7776LBQsW4Mcff0STJk1w3HHHoU+fPnHH72h7zszMxLBhw/DWW2/h/fffx9KlSxGJRNCmTRuceuqpuOSSSxLukF3VnHHGGdi6dStGjhyJ5cuXR9dyV8WGgG3atMH777+P4cOHY8KECViyZAl++eUXNGnSBEcccQSOO+64wHfX72oaNmyIESNG4OWXX8bHH3+MZcuWIRwOo1OnTjjjjDNw3nnnIS0tLfDcUCiEZ555Bi+88AI++OAD/PTTT2jQoAF69+6N66+/PnDJTdOmTTFixAiMHDkS48aNw6JFi7Bq1So0btwYhxxyCI466qhSba4ydO3aFXfeeSemTp2KxYsXY8mSJUhNTcV+++2Hnj174pJLLkGTJk2SSquibf6ss87CoEGDKvxuebLXXnvhk08+weTJk/HVV19F37ZRWFiIevXq4eijj8aJJ56Is88+O9BZePrpp6NDhw4YNmwYpk2bhkWLFqFOnTpo27YtevXqVSpPJ5xwAkaNGoUXX3wR06ZNw48//oi99toLJ554Ii6//HJ07ty5wvcA+OPWI488gn79+uHtt9/Gd999hwULFqBu3bpo3bo1OnfujJNPPjm6l4ZhGLuWkLc7LwQzDMMwqp3bbrsN7733HgYNGrRTNoEyDGPXM336dAwYMADdunWrsr059iQeffRRDB06FJdddll0yYFhGMbuhq2ZNwzDMAzDMIz/UVRUhNGjRwOIrZ83DMPYHTExbxiGYRiGYRj/4/XXX8f69evRrVu36OvZDMMwdkdszbxhGIZhGIbxu2b9+vW46aabsHnzZixatAjhcBg33HBDdWfLMAyjTEzMG4ZhGIZhGL9rCgoKMGPGDKSlpeHAAw/Eddddh65du1Z3tgzDMMrENsAzDMMwDMMwDMMwjBqGrZk3DMMwDMMwDMMwjBqGiXnDMAzDMAzDMAzDqGHYmvkANm3aVN1ZSIp69ephy5Yt1Z0NwygTa6dGTcDaqbG7Y23UqAlYOzV2d2pSG23QoEG5x9jMfA0mHLbqM3Z/rJ0aNQFrp8bujrVRoyZg7dTY3dnT2uiedTeGYRiGYRiGYRiG8TvAxLxhGIZhGIZhGIZh1DBMzBuGYRiGYRiGYRhGDcPEvGEYhmEYhmEYhmHUMEzMG4ZhGIZhGIZhGEYNw8S8YRiGYRiGYRiGYdQwTMwbhmEYhmEYhmEYRg3DxLxhGIZhGIZhGIZh1DBMzBuGYRiGYRiGYRhGDcPEvGEYhmEYhmEYhmHUMEzMG4ZhGIZhGIZhGEYNw8S8YRiGYRiGYRiGYdQwTMwbhmEYhmEYhmEYRg3DxLxhGIZhGIZhGIZh1DBMzBuGYRiGYRiGYRhGDcPEfA3G86o7B4ZhGIZhGIZhGEZ1YGK+hhKJ+D8m6A3DMAzDMAzD2J24//770aNHD6xataq6s4KhQ4eiR48emD17dnVnpcoxMV/DiUSqOweGYRiGYRiGUTNZtWoVevToUebPRRddVN3ZrBLGjBmDHj16YMyYMdWdlSh33XUXevTogU8//bTM47Zs2YKePXvi5JNPRlFR0S7K3e5PanVnwKgcNiNvGIZhGIZhGFXDPvvsg5NPPjnwu0aNGu3i3Px+6N+/Pz799FOMGTMGJ554YsLjPv74YxQVFaFPnz5IS0vbhTncvTExbxiGYRiGYRjG75p99tkHAwcOrO5s/O444ogj0Lx5c8ycORNr165Fs2bNAo9jNEH//v13ZfZ2e0zM11DCtkDCMAzDMAzDMHYpL730El588UWcc845uOWWW+K+Gzp0KIYNG4Y//elPuOGGG+I+e/bZZ/HLL79gxIgRWLlyJRo0aICTTz4Zl19+OTIyMkpdZ/HixXj11VcxZ84cbNmyBY0bN8YxxxyDgQMHol69eoHHv/HGG/jmm2+wefNm1K1bFwceeCDOPvts9OzZE/fffz/GjRsHAHjwwQfx4IMPRs+dNm1a9O/t27dj+PDhmDRpElatWoW0tDR07NgRl1xyCQ477LBS1126dCmeffZZzJkzB6FQCIcccgiuvfbapMszFAqhX79+GDp0KMaOHYvLLrus1DE//vgjFi9ejIMPPhht2rTB+vXrMXr0aEybNg2rVq1CTk4OGjVqhKOOOgpXXHEFGjZsWO51Z8+ejb/+9a+4/PLLSzlxVq1ahbPOOgunnnoq7r777rjvNm7ciNdeew1ffvkl1q5di1q1aqFz584YOHAg2rRpk/R9VxUm5msooVDsb8+L/98wDMMwDMMwdhTP85Cbm5v08enp6di+fftOzFE8tWrVQmgXG8GXXHIJZs6ciZEjR6J79+7o2bMnAOC7777DK6+8grZt2+Kaa64pdd7w4cMxZ84cnHDCCTj66KPx9ddf47XXXsOiRYvw+OOPx93HlClTcOeddyIcDqNnz55o2rQpli1bhpEjR2L69OkYNmwY6tatGz3+888/x913341IJIJjjjkGrVq1wsaNGzF//nx8+OGH6NmzJ4477jjk5ORgypQpOPbYY3HggQeWyuOWLVvwl7/8BUuXLsVhhx2G7t27Y/v27ZgyZQr++te/4uGHH8Zxxx0XPX7JkiW48sorkZeXh+OPPx777rsvfvjhB1x55ZWB6SeiX79+GDZsGMaNG4dLL720VJ1yVv60004DAHz77bcYPnw4Dj/8cHTo0AGpqalYtGgRRo0ahenTp+PVV19FnTp1kr5+svz666+45pprsH79enTv3h3HHnssNm3ahM8++wzTp0/H008/jY4dO1b5dcvCxPwegIl5wzAMwzAMoyrxPA99+vTBjBkzqjsrCenevTvGjRtXJYL+119/xdChQwO/69ixI4488kgAQDgcxr333ouLLroIDz30EN544w1kZmbi3nvvRWpqKh544AGkp6eXSmPWrFl4+eWXccABBwAArr76atx0002YNm0aPv74Y/Tp0weAL6jvu+8+1K9fHy+++CL23nvvaBrjx4/H3XffjRdffDEaFbBx40bcf//9SElJwdChQ9GuXbu4665btw4AcNxxx2Hbtm1RMd+vX79SeXzsscewdOlS3HnnnXHfX3311bjsssswePBg9OjRIxpJ8Oijj2L79u249957ccopp0SPf+655/Dqq6+WU+IxmjVrhm7dumHatGmYM2cOunTpEv2usLAQ48ePR2ZmZnRNfdeuXTF27FjUqlUrLp1x48bh/vvvxzvvvINLL7006esny3333YcNGzbgiSeeQPfu3aOfX3rppbjkkkswaNAgvPnmm1V+3bKwYO09ANsMzzAMwzAMw6hqdvWsd3Xy66+/YtiwYYE/GoYO+OLztttuw+bNm3HffffhX//6F1avXo3rr78e+++/f2D6p5xySlTIA0Bqair+8pe/AADGjh0b/XzcuHHYvn07/vKXv8QJeQA46aST0K5dO0yYMCHu+NzcXFxwwQWlhDwANG3aNKn737x5MyZOnIjDDz+8lNBv1KgRLrzwQmzatAkzZ84EAKxZswZz5sxB27Zt44Q8AFx88cXYa6+9krou4TXdnfYnT56MrVu3olevXqhduzYAoGHDhqWEPAD06dMHtWvXjuaxKlm4cCHmzZuHU089NU7IA8B+++2H008/HUuWLMGSJUuq/NplYTPzhmEYhmEYhmHEEQqFokIxWRo0aIBNmzbtxFzFU5Vh9j169MATTzyR9PG9evXCaaedhg8++AAAcOyxx+Lss89OeHzQevODDjoIGRkZWLx4cfSz77//HgDwww8/4Ndffy11TmFhITZv3ozNmzejfv36mD9/PgCgW7duSec9iPnz56OkpASFhYWBEQq//PILAGD58uU45phjonk+9NBDSx1bq1YtHHjggfjmm2+Svv5xxx2HevXqYdKkSbj55pujwv3DDz8EUHrju88++wyjR4/GwoULsW3bNpSUlES/++2335K+brKwXjZu3BhYPsuXL4/+3pVr503MG4ZhGIZhGIZRilAoFBVVyVC7dm0UFhbuxBztXhx//PFRMV+WkAd8R0eiz9evXx/9f+vWrQCAkSNHlpleXl4e6tevj23btgEAmjRpknS+g+B1586di7lz55Z5XQDIyckBkPi+ktmETklLS8Mpp5yCESNGYOLEiTjttNOwdu1azJo1C/vuuy86d+4cPfbNN9/E008/jQYNGqBbt25o2rRpNPR/xIgRO6UNsnymTp2KqVOnJjyO5bOrMDFfg7HwesMwDMMwDMPY9WzZsgWDBw9GrVq1UFxcjMceewyvvvoqsrKyAo9PFLGwadOmuM3a6Dx58803k5rhZTj7+vXr0aJFi4reRqnrXnDBBbj++uvLPZ55TnRfGzdurHAe+vfvjxEjRuDDDz/EaaedhrFjxyISicTNyhcXF+Pll19GkyZN8Nprr8U5EzzPwxtvvJHUtcL/ezWYzuiToE0cWT4333wz/vjHP1bovnYmtma+hlJSAkQi/m/DMAzDMAzDMHYdgwYNwrp163DzzTfjmmuuwYoVK/B///d/CY//9ttvS322YMECFBQUxO383qFDBwDAvHnzksrHwQcfDABJbVSYkpICAIhEIoHphEKhpK/LPH/33XelvsvNzY1bOpAsbdu2xcEHH4x58+Zh2bJlGDt2LFJSUnDqqadGj9myZQtycnLQoUOHUlEBLM9kUCeIy8KFC0t9VtF62VWYmK+hlJT4M/Mm5g3DMAzDMAxj1zF69Gh8/vnn6N27N/r27YvzzjsPPXr0wIcffohJkyYFnvPxxx9j6dKl0f+Li4vx3HPPAQD69u0b/bxfv36oVasWXnjhhbjjSX5+fnT9NgCceuqpqFWrFoYPH45FixaVOp672QOIvs5OPyONGjXCCSecgHnz5uGNN96AFxAC/P333yM/Px8AsPfee6Nz58746aef8PHHH8cd9+qrr0bD/ysKZ+EffvhhrFy5EkceeSQaN24c/b5BgwbIyMjAwoULo3kB/DD4xx57LOnrtGrVCrVq1cIXX3yBLVu2RD/fsGEDXnnllVLHd+jQAR06dMCnn36KTz/9tNT3kUikQnsEVBUWZl+DiUR8QU9R/z9nm2EYhmEYhmEYFaCsV9MBwMCBAwH4G5w98cQT2HvvvfGPf/wDgL+3wF133YU///nPGDx4MDp06IBmzZrFnX/44YfjiiuuQO/evVG3bl18/fXXWLJkCXr06BG3G3yDBg3wwAMP4J///Ccuuugi9OjRA61atUJhYSFWr16NOXPm4JBDDolu1tewYUPcfffduOuuu3DZZZehZ8+e2G+//bBlyxb88MMPaN68OYYMGQLAf8VeRkYGRowYge3bt0dntgcMGAAAuPXWW7FixQo888wz+Oijj9CpUyfUrl0b69atw48//ohffvkFY8eORWZmJgDglltuwZVXXon7778fU6ZMwb777ov58+dj/vz5OOywwwKjEcrjpJNOwpNPPhldt893y5NwOIyzzz4bw4cPx5///Gccc8wx2L59O6ZNm4a999476b0D0tLScM455+C1117DxRdfjGOPPRa5ubn48ssv0blz58DNBx944AFcc801uOuuuzBixAi0b98e6enpWLt2LebNm4fNmzdjypQpFb7nHcHEfA3lf8s8okI+1WrSMAzDMAzDMCoFX02XiIEDB6KoqAh33303CgsLcc8998S9fq1Ro0a44447cMstt+Dee+/Fs88+G12XDfhr0Xv27IkRI0Zg5cqVqF+/PgYMGIDLLrus1I78Rx99NF577TW88cYbmDlzJmbMmIGsrCw0adIE/fr1K/UquOOPPx7Dhg3Dq6++ijlz5uCLL75A/fr1ceCBB+L000+PHlevXj0MGjQI//nPfzBq1KhoSDrFfL169fDiiy9i5MiRmDBhAj755BNEIhE0atQIBx54IC677DLUq1cvml6bNm3w4osv4tlnn8W0adMwbdo0HHrooXjxxRfx5ptvVkrM165dG7169cK4cePQsGFDHHXUUaWOueaaa1C3bl2MHTsWo0aNQsOGDdG7d28MHDgQF1xwQdLXuuqqq5CWloYxY8bgvffeQ/PmzXHppZeiZ8+e+Oyzz0od36JFC7z22mt46623MGXKFHz44YdISUlBo0aNcNhhh6FXr14Vvt8dJeQFxVD8ztmVr9SoLJEIkJHhv/4jJQVIT7eZeWP3ZFe/psYwKoO1U2N3x9qoUROwdlqaoUOHYtiwYXj22WfRtWvX6s7O756a1EYTvSlA2SPnc7du3YqnnnoK8+bNw6+//ootW7agQYMG2H///XHhhRfipJNOqrJ3UlYX3LeC4fXmkjEMwzAMwzAMw/j9sEdugLdp0ya8++67yMrKwgknnIDLLrsMxx57LH766Sdcf/31uPvuu6s7iztMSQlQVBQT8bYRnmEYhmEYhmEYxu+HPXJmfp999sHMmTOR6iwkz8nJwXnnnYe3334bAwYMiHsNRE0kFAKKi4GMjNhMvWEYhmEYhmEYhrHns0fOzKekpJQS8gBQp04dHHPMMQD8nShrMqFQLLyeQt5C7Q3DMAzDMAxj92HgwIGYNm2arZc3dgp7pJhPREFBAaZNm4ZQKIS2bdtWd3Z2iFDI/wmH/dl5wGbnDcMwDMMwDMMwfi/s0bvZb926Fa+++ioikQg2bNiAKVOmYPXq1bj22mtx3XXXJTwvEonEvUpidyQSAXJyfCEfCgGZmbHfhmEYhmEYhmEYxp7NHi3mf/31V5xwwgnR/9PS0nDjjTcGvs9RqQmvKyguBtLSGmDdOv/VdFlZ/uf8bRi7CzXpFSDG7xdrp8bujrVRoyZg7dTY3alJbfR3+2o6ss8++2DhwoUoKSnB6tWrMW7cODz++OOYM2cOnnjiicB19TWFkhJ/dt7zbK28YRiGYRiGYRjG743dO5a8ikhJScE+++yDK6+8EjfccAM+/fRTvP3229WdrR2iqMgX8yUlvpjnq+nsFXWGYRiGYRiGYRh7Pr8LMa9wN/sZM2ZUc052nEgkJuiJiXnDMAzDMAzDMIw9n9+dmF+7di0Af7a+JhMKxYQ8Q+4BE/OGYRiGYRiGYRi/B/ZIMb9gwQJs27at1OebN2/G448/DgA49thjd3W2qhzPi72Wjr/5uWEYhmEYhmEYhrHnUnN3gCuDUaNGYeTIkejevTtatGiBrKwsrFq1Cp9//jlyc3Nx8skno3///tWdzR3C8/x188XF/rvmlZISoAbv7WcYhmEYhmEYhmGUwx4p+U4++WTk5OTg22+/xcyZM5Gfn4969eqha9euOOOMM9C3b98yX01XEygqAnJzfeFeXAykp/uh9uFwLOTeMAzDMAzDMAzD2DPZI8X84YcfjsMPP7y6s7FTKS4G8vOBvDygdm2gsNAX9IZhGIZhGIZhGMaezx65Zv73QEGBPzu/fXtsEzxi7543DMMwDMMwDMPYszExX0MJh30BX1joz9Dzf4p4E/OGYRiGYRiGYRh7LibmazBcL5+bC6SkxAQ83z9vGIZhGIZhGIZh7JmYmK+hpKb6M/KcnQ+FfGFPEW9i3jAMwzAMwzAMY8/FxHwNJS3NF+/FxbH1825ovYXaG4ZhGIZhGIZh7JmYmK+hlJT4s+9cM19YGL9mnseYoDcMwzAMwzAMw9jzMDFfQ9GQesAX9ID/GXez9zwLtzcMwzAMwzAMw9gTMTFfQ+Hu9cXF/qx8bq6/bl6FvM3KG4ZhGIZhGIZh7JmYmK+hpKQA6emxdfPFxf7nxcXxQt4EvWEYhmEYhmEYxp5HanVnwKgcKSn+jvaAH0pfUGBr5A3DMAzDMAzDMH4v2Mx8DSYjIzYLX1Dg/wDx6+TtnfOGYRiGYRiGYRh7HibmayijR7+LE04IYcGCSfC8+N3sI5H4WXqbsTcMwzAMwzAMw9izMDFfQ7nppoEAgOefPwcFBbGN8CjkgdiMvO1qbxiGYRiGYRiGsWdhYn4PgJvebdvm/8/X0xmGYRiGYRiGYRh7JibmayjXXfeP6N+e5yESAYqKYsI+CJudNwzDMAzDMAzD2DMwMV9DOfnkM6N///LLXHgekJ/vC/lEa+Rttt4wDMMwDMMwDGPPwMR8DeXAAw+M/v3kk39ASQmiP5FI2TP0hmEYhmEYhmEYRs3GxHwNxfNCcf8XF/siPj8/9jo69xV1tqu9YRiGYRiGYRjGnoGJ+RpKUVH8/8XFvlgvKAjevZ4i3sS8YRiGYRiGYRhGzSd1RxNYtWoV1q9fj8LCwoTHHHHEETt6GcPBFeUFBb6Yz88HwuHYzLznAaFQcBqGYRiGYRiGYRhGzaTSYn7kyJH497//jdWrV5d77IIFCyp7GSMBrpgPhWIz89u3A3Xq+O+dT031fxKdZxiGYRiGYRiGYdQ8KiXm3333Xdx5550AgOzsbLRu3Rq1a9eu0owZZRMOAxdf/BheffVmAMDUqf9Bv35XoKjIF/RZWbF19IZhGIZhGIZhGMaeRaXE/CuvvILU1FQ89dRT6NWrV1XnyUgCzwN69hwQFfOjR/8dffpcEd0Ej6+oMzFvGIZhGIZhGIax51GpDfCWLVuGww8/3IR8NeJ5QL16jUt9ztfSFRfH/ne/NwzDMAzDMAzDMGo2lRLz9erVQ61atao6L0YFSE31Q+2V7dtjm+Bxt3v3dXS2Zt4wDMMwDMMwDKPmUykxf8IJJ2Du3LnIz8+v6vwYScId65XCQg8lJf7GdwUF/md8v7xhGIZhGIZhGIax51ApMX/TTTehTp06uO2227B169aqzpORBOEwkJ4e/9nKlXNQUhKbnQfiQ+4NwzAMwzAMwzCMPYNKbYA3ePBgtG3bFp988gmmTp2Kjh07Yu+99w48NhQK4eGHH96hTBqlCYV8QX/BBS9h+PDLAABPP90bL764EZ4XE/PcCE+JREqH6BuGYRiGYRiGYRg1h0qJ+ffeey/697Zt2/D1118nPNbE/M4hFPJF+WGHnREV84AfXp+Rgegr6jIyYoI+JcU/xtbNG4ZhGIZhGIZh1GwqJeZfe+21qs6HUUFSUnxR7q6b17XyxcVAWpq/hj41NSbm+b3NzhuGYRiGYRiGYdRMKiXmu3XrVtX5MCoIw+xVoAPA+vUr0LDhfgiHY++Zj0R8kZ+ZGTvOna03DMMwDMMwDMMwag42N1uDycoqPbu+du1S5Of7s/KRiC/aGVbPWXzb3d4wDMMwDMMwDKNmU6mZeVJUVIRPP/0Us2fPxrp16xAKhdCkSRN07doVJ554ItLS0qoqn4ZDWpov5kOh+M9/+eUbdOlyPEpK/Nn4tDT/B7C18oZhGIZhGIZhGHsKlRbzs2fPxi233II1a9bAc1Ti8OHD0bx5czz66KPo0qXLDmfSKE04HC/UycyZL+H0028CEJudB/zfhYW+A8AwDMMwDMMwDMOo2VRKzP/8888YOHAgcnNz0aFDB5x22mlo2bIlAGDVqlX44IMP8P3332PgwIF499130bp166rMs/E/UlL8je2uuupzvPDC8QCArVtXoagotgEew+wjEQuvNwzDMAzDMAzD2FOolJh//vnnkZubi9tvvx0XX3xxqe8HDBiA1157DQ8//DCef/55DB48eIczasQTCvlCPhwGmjc/JO67oiJfyBcVxY7l+nnDMAzDMAzDMAyj5lOpDfC+/vprHHzwwYFCngwYMAAHH3wwvvrqq0pnzkiM5wG1a/t/u5vgbd+eg0gEyM/3/9fX19kmeIZhGIZhGIZhGDWfSon5jRs3Yv/99y/3uP333x+bNm2qzCWMcgiH/Rn3tLTSYv6BB/ZDbq4/O19YGL+bfXFx7Di+ns5m7A3DMAzDMAzDMGoWlRLz9evXx7Jly8o9btmyZahXr15lLmGUA2fY09L8cHuXoqKYUOd6eRX2QWkZhmEYhmEYhmEYNYNKifnu3btj/vz5ePvttxMe8/bbb+OHH35Ajx49Kp05IzHhsC/MQyH/7/r1W8V9z83vtm8H8vJKv2uef5uQNwzDMAzDMAzDqHlUagO8a665BhMnTsQ999yDDz/8EP3790fLli0RCoXw66+/4sMPP8SsWbOQlZWFv/zlL1WdZwMxcc5w+0svHYvHH+8Y/Z6z8bm5QEYGUKeO/3lJif8dQ/MtxN4wDMMwDMMwDKPmUSkx36ZNGzz33HO45ZZbMHPmTMyaNSvue8/z0LhxYzzyyCNo06ZNlWS0IqxduxYfffQRpkyZgqVLl+K3335DvXr10KVLF1xxxRU49NBDd3meqhrP8wV5ejqQmQnUq9ci7vuSEn8DvL328v/mhneJdrUvKfFfdWcYhmEYhmEYhmHs/lRKzAPAkUceiQkTJuCjjz7CrFmzsG7dOgBA06ZNcfjhh6NPnz7IysqqsoxWhNdffx1Dhw7Ffvvth6OOOgqNGjXC8uXLMWHCBEyYMAGPPfYYTj311GrJW1URCsXeMx8OlxbixcURFBeHUVzsC/WiolhoPkPrTbwbhmEYhmEYhmHUTCot5gEgKysLZ511Fs4666yqyk+VcMghh+DNN9/E4YcfHvf5rFmzcMkll+C+++5D7969kZ6eXk053HE8LzY7z3fOK2+9dRGuuurN6PvmIxH/OM/z/09Pjw+3NwzDMAzDMAzDMGoOe6SUO+mkk0oJeQA4/PDD0b17d2zevBkLFy6shpxVHeGwL+D5ajpf1Mem2hct+gieF3s9HcPsuWbeNr4zDMMwDMMwDMOouSQ1M79q1SoAQLNmzZCSkhL9P1latGhR/kG7iNT/TWGnBr3PrQbBXexV0P/lL9/j3/8+KHrMpk0bsddeDaPvk+er6tLTYzP7CnfHNwzDMAzDMAzDMHZvklK0vXr1QjgcxtixY7H//vujV69eCCWp+kKhEObPn79DmawqVq1aha+++gpNmjRBdnZ2dWdnh6AvIi3N/x0OA3vt1TDumPfeuxnXX/8ycnOBggJ/MzzAn63neUAs3D4SsXX0hmEYhmEYhmEYNYGkxPwRRxwBANEN7fh/TaKoqAh///vfUVhYiFtuuQUpZajWevXqIVwDFpP/9hvQsGEDbNjgr4Nv3Dj++/nz30daWgNkZQF16/o/KSn+zHxGhr8LPkU9Z/pNzBs7gwYNGlR3FgyjXKydGrs71kaNmoC1U2N3Z09qo0mJ+ddff73M/3d3IpEI/vnPf2LmzJk499xzccYZZ5R5/JYtW3ZNxnaQcLgBtm7dFH2ffH5+6WM2btyEUAhYs8b/PyXFF/GZmTFRr9TgPQGN3ZQGDRpg06ZN1Z0NwygTa6fG7o61UaMmYO3U2N2pSW00GafD7j/9vIN4noc777wTH3zwAU477TTcd9991Z2lKiM11Z9Rz8z0/w7aBqCgIA8lJf4meMXF/mdcQw/EfhPbGM8wDMMwDMMwDGP3p1JifsCAARg6dGi5xw0bNgwDBgyozCWqBM7Iv/vuu+jXrx8GDx5cI8LnkyUtzZ9pT0mJvaLusMMuizsmL28zIhFfyFPMczf7oE3wDMMwDMMwDMMwjN2fSinbGTNmYOnSpeUe9/PPP2PmzJmVucQOE4lEcMcdd2DUqFE49dRTMWTIkDLXydc0OIMeCvk/aWm+WO/Z8+6447iDfWFh/Cvpiov9zynqDcMwDMMwDMMwjJrDTp2mLigoqBYBrUL+lFNOwSOPPLJHCXnCDeu4iZ3/d/wi+JISL7pbfVGRL+L5rnmKeA2t53eGYRiGYRiGYRjG7stOe9l6Tk4O5syZg6ZNm+6sSyTk2WefxahRo1CrVi20bt0azz33XKljevfujYMOOijg7JqB58VC7LlePi0NqFs3fge7YcP64+67Z6OoKP498p7nC/vUVF/AM0yfoff2znnDMAzDMAzDMIzdl6TF/AknnBD3/yeffIIZM2YEHltSUoLffvsNJSUluPDCC3csh5Vg5cqVAIDc3Fw8//zzgce0bNmyRot5IBZez03wfGEfr8A3bvwZhYX+e+Z1AzwNuQd8Qa8b6PG7PTCgwTAMwzAMwzAMo8aTtJinQAaAUCiE3Nxc5ObmBieamoqmTZuiV69euPnmm3c8lxVk8ODBGDx48C6/7q6E+/ilp/t/p6bGPnMpLvbFeWGhH2rPGX2bgTcMwzAMwzAMw6iZJC3mf/zxx+jf7du3x5lnnolBgwbtlEwZ5UMBnpHhi3gK+pQU4IILPsLw4X2ixxYVeQBC2L4dqF/fF/ehUEzgu++aNwzDMAzDMAzDMHZvKrVmftCgQdhvv/2qOi9GJUhJ8YV5Rob/OyUF2Hff7nHHFBZuR35+HdSuDeTl+cdyozv+6Ky+u7beZu4NwzAMwzAMwzB2Lyq1m/2ZZ56Jrl27VnVejErA8Hrd1T7VcdGMGHEJSkr8GfmcHD/UHvAFvRK0u73tbG8YhmEYhmEYhrH7UamZ+Yq+O/6II46ozGWMJElLi/1wd3vlp58moaTEF++Fhf4PhT/XzQO+cLcN7wzDMAzDMAzDMHZ/KiXmL7roIoQqEHu9YMGCylzGSBK+Vi49PTZTv//+vfHzzxOix+Tm5qNu3UwUFgK5uf7u99wYj6+os3B6wzAMwzAMwzCMmkGlxPwZZ5wRKOYjkQhWr16N+fPnIycnB7169UK9evV2OJNGYsLh2CZ4FOQpKcBJJz2DF15oHz1uw4ZlaNq0PSIRf918OOzP0Kf/77X03BWf2Fp5wzAMwzAMwzCM3ZdKifnyXvu2efNm3Hnnnfjpp58wYsSISmXMKJ9QKPauea6Z9zxflO+1V9O4Y5977ig8/vhGeF5s7Xzt2r6gV0pK/PMt5N4wDMMwDMMwDGP3pVIb4JVH/fr18cgjjyAnJwePPfbYzriEgdjMeVpabGadnwW9c97zfJEeCgEFBf7f/Izr5oHS/+vfhmEYhmEYhmEYRvWzU8Q8AGRlZaFTp06YNGnSzrrE7x4V89z4LiOj9AZ4pLg49ndJib+rPXer5273/N92tDcMwzAMwzAMw9h92WliHgByc3OxdevWnXkJA7F18qmpMWGfmVn6uOLieMGuYfT8XHe3txl5wzAMwzAMwzCM3ZOdJuYnTZqEWbNmoXXr1jvrEoaQkuKH1qelxTbDc+Hr6biDfSjkH+uG2uvsvAl6wzAMwzAMwzCM3Y9KbYB3++23J/wuNzcXy5Ytw6JFi+B5Hi677LJKZ85IDq6V5872oZAv5g844GQsXfpJ9LiSEl+c87fn+cdxU7y0NF/Aq8DnJnvGngHrPdGeCkDi+taoDR6nbz3g3/xcr8O2xOP4edA1g67D761NGoZhGIZhGIZPpcT8e++9V+4xLVq0wLXXXoszzjijMpcwKgBn4lNT/Rl6z/M3xDvttFfxxBN7R4/77bdF2Guv7GhIfX6+/8MQfe5kr0KL4h+IOQw4Y68b7hm7B6yzRII3magL1jGdOp4Xa1dBGyO6n1HMA7FoEPdYps/8aFty92jg9XUZiL1pwTAMwzAMw/i9Uykx/9prryX8Li0tDU2aNME+++xT6UwZFSMU8sU7185T+KTzJfL/45lnemDw4LUIhdKiofYqqijaE4XoU0CpMDMxX3245c9oCv2OvynM9diy0gXiRTXbRrL5Ku9z1zHAdphsVADvNRmHkjoMDMMwDMMwDGNPoVJivlu3blWdD2MH4cZ3DLVn2LzL558/g9NOuzEaWg/45xUXxxwBQTOtxu6FLoPQUHb3GP0d9FYCimHXEZAMOnMPxM/IVzVuuq7Twj1Ow/GDnAaGYRiGYRiGUdMxs7aGQ2HCze/4ejogWITPm/chAH+mtaAgtiGezsyr6LMN8HZPKvrGgfKOqwqHjaaRjGBO5HwIIpn7ZDtWoe8KefczwzAMwzAMw6ipVGpmnvz2228YNWoUvvnmG6xbtw4A0LRpU3Tp0gVnnHEGmjZtWiWZNMqGs7MpKfGvqQuHgTPOeA6jR/8leuzKld8iNzcX6em14HnA9u1+iH5KSrywd0PpQyH/e5ul3z2oaPTEzhKwOvPNdljWDD3bUlCUQFl5TGbWP+j7RJ9ZOzYMwzAMwzBqOpUW86NHj8b999+PvLw8eGIxz58/H5MnT8Zzzz2HO++8E2effXaVZNQIhqIkLc3/m7PzFPctW3Ytdc748c/jnHNuQnGxL9CLi31BX1QE5OX5aXAzPCB+XbLNalYdVSUqI5HyN4Srinpzw+qBmDjnfbi/gwgKf6/KfBqGYRiGYRjG74FKifnJkyfj9ttvRzgcRp8+fdC3b1+0bNkSALBq1SqMGTMGn3zyCe688040btwYxx13XJVm2ihNKARkZvqCi5vh+YK+fqljt23bEF0jXVQUP+NeVOSLe93VvqxNyYzKwegHXfO+u5PIoVOV+U9m8zzDMAzDMAzDMCop5p9//nmEQiH8+9//LiXU27dvj169emHy5Mm4+uqr8cILL5iY3wVwzTxn5rmRXZ06jZGeXgeFhTnRY3Ny1kc3yCso8H90AzTO1jNknzvZW2hy1VHRNe/JpudSVZvSBQn2yrQHnbmvypn5ipxnjgHDMAzDMAxjT6BSc2o//vgjunbtWqZIP+6443D44YdjwYIFlc6ckRwMsU5Jic3K8/VyoRBw440/xx0/b95IFBXF1i4XFwOFhTGRw9l64m4qFrTe2aheyhLzybIrIwSCIhJ2xFlkbdIwDMMwDMP4vVEp8z09PT2pze2aNm1a6l3nxs6Da+b5irnYu8VLL6jmenmG2BcW+j+6yz1Q+l3jDA93xZMKfqPmoAK6qiMvmJ6K9qD19jty/Z0xy16RNwTYLL9hGIZhGIZRXVRKzHfr1g1z585FpAz1VlJSgu+++w5HHHFEpTNnVIzU1FhoPMV8oo3RPC8m5ilKKKbc3ewVHu+mZcKmatkTIiC470KyIr2yzoTKlFOituq+zaG869b0OjIMwzAMwzBqLpUS8zfffDM2b96MO+64A9u2bSv1fU5ODu666y5s3boVN9100w5n0kgOiqdwGMjK8n9SU31h0qnTH+OOpSjnbDv/T0mJf+c8EBM2FC4mYMpHy7YyUFCqs0XrpLqoqMOmogK9qmbnK+sYCGrrFa1DrTfDMAzDMAzD2FkktQHeM888U+qzP/zhD3jvvfcwfvx4HH300dHd7FeuXImpU6ciNzcX/fv3x0cffYS//vWvVZtrI5BQyF8zHw4DGRm+MM/K8t8l/4c/3IN5896JHltc7K+Nz8jwX0eXkeF/ruH1BQX+566453E1ZRf26mBHNrhzy1rFZCRSsXLfGaHzVSlSmZ6G5O8OTosdeRWjOgLKe2WgYRiGYRiGYVSWpMV8KBSKe5882b59O8aPHx943gcffIBQKGRifhfC19NxgzEK/Pz8eFW3fftvSE1tjFq1fDEfDgN168aHy+vr04zdg4q8JnBn1Ju2q8qe7/6/MwRveU6HqmzX9owYhmEYhmEY1UFSYn7QoEE7Ox9GFZKe7gv09HR/dj0UAmrVit+wcPz4h3HWWf8XnX0vLIwdm54em7VPNLv4ew0hjkRiG7dxBtbdyM2FZaUCM+g9824abvq8dtAxiWbrd6SeEgniyghXvioxmXMrOvvvHl9efRiGYRiGYRjGnkBSYv7MM8/c2fkwqgAKOr5nPj3d/52aChQVxSvyrVtXo6QEyM+PratPS4utuU9J8QW9+zICV5D9nja+043+VEB6XuzNAUFCMmjNtZ7L7yl43c3v9HoaZq9lz9B0dQ5Q/O8uM8c7Kw9VFZqv7biibTpoE8jdocwNwzAMwzCMPRdb9bwHwR3s09L8/1NTfTGemlp65ragYGucQNRX0vG980VF/t8qLvV9857nf/97oSyxpyJc3xSgGwyWB48tS/zr30GC010mURZ70nruoMiEXbWnQ6Id8O0Vd4ZhGIZhGMbOxMT8HgKFC2fkw+GYmAf833XqNI8ev2LF15gw4aG498arAOVnKuiJ+92evLu9irSy7lPLxz0uWXFdHok2ZSvrFYT8Xh0Myb56rSbNLAflNZmlD1UNI1sqgr3izjAMwzAMw6gMSYXZDxgwAKFQCP/617+w9957Y8CAAUlfIBQK4dVXX610Bo3koHAJhfyZ+awsf8371q2+0CssBP72t+/x0EONoudMnvwYeva8BhkZDf4Xih8T9fq6upKS2Gz/ngSdEir6VIi5YfU8tqJizV1jX1Z+EsFN58o6xl2Tr+LfdcbUJKG+s6noGwKAxHsJ7Ei5Wr0YhmEYhmEYFSEpMT9jxgyEQiHk5eVF/0+WkFmnuxwKzsxMX8hnZPhr48Ph0nXxn/+cjptvnhIXNp+a6ofcp6X5TgD+zswMFhs1VYRU5PVxDJOv7IxuUPlwNp1Cn6LSFe3c08AlUVg3f6tA1TX9exIVuZ+gMmSUQnmh7lp2yUY26DX3tHI3DMMwDMMwqp+kxPzEiRMBAM2aNYv739h9SUmJbX7HWfUgAbJmzffRdfKpqb7o5/G6pp6/96R11kGoaHM3+tuRNF3cCADduR6I34sgJcX/XJdAUJy719EZeR6jEQW6mV55QrMmCNCgGfXKrFVPxllS3udB5aWbG1YkLcMwDMMwDMMoj6TEfMuWLcv839g90FecZWTEBBxn5wsKgCZNOmD9+h/iztMQcK6P509JiT8rn5Lif+eK0Jog+CpCZUPpSTgcvBM9ELzLvefFxHqiNfHqUFF0B3seo6+8c79zd9vn+dxFX+9flxYwHdcJwLzpe+c1ZJ1/u46DioS1a5RCovKpLCakDcMwDMMwjJpMpSTLmWeeieuvv76q82LsICrg+MPXzXFH+/79h5Y6j6JOBb0Kz0jEF/Tbt/vr6iu7a3dNIdn7SeTIUDGrm5upGFVxTkGs32leOBuvIp3RFJytD4Vi4fjcnLCoKPaGAm5WWFTk16W+saCgILaRYXExkJcXS58/PF/zwv/dY/TvwsLYMWxHmm+m596v7tkQVLZBVDSkfXdrt7tbfgzDMAzDMIzdm0qJ+Z9//hlpe+KOaHsInI0Ph4E6dWIisKQEaNKkPQYM+LTU8ZyBp9CiwKMgo9DLz49tlEd+r6/Wcte3U4iGQvGz3TprHrRGW19rV1Dg/6h4Zrnn55deu691q28hSEkpfU2N1GD+NRSfdaxr+HUmX9uDvmrPdVq4bwBQUR4U1q6bLuqrD/ldEInWrScz659I7Je3Zn5nw/ZjGIZhGIZhGMmQVJi9S6tWrbB58+YqzopRVbhh3So6g4TOtm2/oX79xlExUVTkf15YGBN7OnNcVFR6d/uauJ5+RwSaO/uu5evOKLuCVoU24JclIx5yc2MimzPt7vvqeY1IxD+GYp754JIIID5KA/Cvo2Kev+k40NB/lpE6CFJTY/ekyzo0ooD50v913wXNl9aFu55fnRK8lkYGKO4SAq2nir72LWg5QbLnGYZhGMaOUtlljK4TvqLXKi/CbU9cXmkYNZ1Kzcyfc845mDFjBpYsWVLV+TF2kJQUXxympPivp0tLi22CR2Hj7mo/Zcq/AcQLx1DIF5achVdxwxna3wtBws4VfCpAKYxDIb/8VIjzh2HnJSX+jLuexzIvLIxdi4I2HI45W3jd/Pz4vQ7c5RZB6/bVqcO8alQB81NYGDxjzM80FJ95AOLvl3/ze4p7jSTQ43htDbl338We7Pvcd/R1cS47ugTDMAzDMMqC414i3OV4ep5+pzad++OO0e6Pu/xNr1tRB7lhGDuXSon5iy66CGeeeSYuuugivPLKK1i+fDkKqTyMaiccBtLTY7OoDPnmq+VcMf/FF09gwYKx0TB7/uTnB4stFZNAzQyxr0ie3cFNw9BdQa8z3Cra3VB8/b6wMLaUIRz2HS+upzwoEgCI1UdJSWyWvrg4tsxCZ9g5268Cn3spsE4568/7ZNvRe9ZyofGg7UaNBCBe5DMvrmPIjWTQfQW0/fF8dxYhUX0yDXVGqNAOEt1VvdFeWdTEZ8cwDMPYOehYVZFxzT02GYeA+787DuvY6zoJdALDxjHDqF4qFWZ/0EEHAQA8z8O//vUv/Otf/0p4bCgUwvz58yuXO6PCcPadr6YDgNq1ga1bY6IrqON96aWLMHjwxuj/7k7kRUXxofaJZuZVaLHjr+zO8FUNZ571tW7uO90Vd6ByBzAKZ5YV0wfiRTDLj7PEXPagofDMH8uMIltn0pmGDqpBu8Xz2hp6zrRSU/01+UyH+Sc6M898ALG19HQKBIXLa3mlOj2Lhs3zf/0NBK9317R11j/RkhGtI15Ty9ElqP6DjjVjxTAMw9iVBIW0uwKdS+92ZLZcr8G0gsR9onzwuLLGWsMwdh6VEvPNmzev6nwYVYSKK3fNPEPt09IaBp7LzpudOX+KivyZ/iCh5K6TZwfvbgBX3R28u7EacTewU1Q88rV8kYhfjhTu/FxD67X8NHw9NTU+pJ1edYpSCmbOgnN5RCjkC3DWIx01kYhfLxzMeS+8DtNOS4tfT1+7tp+ehrOzLPS3i76nXkP/XYHPsnPfiADEz/qrc4hl4h6TSMy71wsyLPib0QO6xj9ozb5hGIZh7GzU0Q+UvT7dnSBxZ8I5Fgeh+/O44y3PDYpE041xy5rwcL9zbcLdwfYzjN8DlRLzkyZNqup8GDsBFX7p6bH3mTdq1Crw+K1bVyItrWW0gy8o8F9Txs3u0tJKv2vene12hV2QeNvVcAY6UR7UQUEoAPW1ferEYFi6u4u8ilx3OQJFv7sGnMKdedHfzLeGrAP+ZxkZ/nkq3lVsM18Mrdd8pKTERxKwrTCPbh7UORCJxGb3de8ArmPn+UFr8Pg7MzP21gRtP9zFH4jt9+BGQ7DMdckAEL+5H6+jGzXqcgHec7JGiqaR6HjDMAzDKIugN5bQGc+wdiB+bFUxHyS6ebyiolqX1lHgu8vVdCKG5/Bvd5maOgEShdnrOTVtc2TDqGnsJgHQVc/777+Pu+++G2eddRY6duyIdu3aYdSoUdWdrZ2Ohjmlp/uCLyUl9puCrUWLLqXOHTPmzug7wrm7el5e/DvJuZZeoehVweZ6iqtj5tMVxm64PBBbb57olWBaFhSZujO93jPLznUMcCANWredzJIEd60419RrWL6G97uz3syvhvPr9Tl7785ch8Oxetfz6aTQ43j/ek1977yWF991z+gAFeu6qZ6WL+uIr8XjOe6GP3otd2bB3efArafyUGeES3WIeVuraBiGsXuj44zbX7tO7qBxKehcHeM1Ys89rqyN7Nw8Jos6HhKdF3SfhmHsPCol5gcMGIChQ4eWe9ywYcMwYMCAylxih3nyyScxYsQIrFq1Ck2bNq2WPFQHFFicseXsJddg8+f880eWOnf79k0A4md/1TOss79l7Wivwq260B1aEw0s7kDqHuNuYhcU8k00bI7ODyDmPKGI1cGaA7KuL9elEe41KOSZJq/L63BAd9erK8wDr8GBWdPjbD5n213Brh5+LWuKa3edPs/V49y1+novQfWkedNNGBPVhZuOOgu0fQaFLOpvxXUcKJUV85UV4+6GRIZhGEbV4EaVAaWd/mU5d9UB7UanaXQfJwDcCD+3X9dldDq26ox3WWm6eQv6Oyj/icaXssafROURNN4H5c8wjIpTKTE/Y8YMLF26tNzjfv75Z8ycObMyl9hhHnzwQUyaNAnTpk3Dn/70p2rJQ3Whr+2ikM/IiB8Aateuj06dzo07b+nSKXjvvZuxffvWONGmm5+psNKQaJegMOXdrfMuKx+JRKI7eEcisVfD6cCdkhLbpV4FPAdcfUUMy1E/48w1IwNUCOtsvs5Sq5OFx/L8SCSWn4KCWJ3SCcD09PVxukxA613X6LshgWwPdCqoo0BDCAnD/ZkGYbvTqAJeU8P7tR6DoitYHolejecaXFXFzpqpTyaiwHVaGIZhGMnjzpK7AtidTQ86P+h4HceDnMhBDnz3DTNBM/QcezW/yYwBPC5R/pOdeVcSjaXlOesNw6g8OzXMvqCgACnVtFjmqKOOQsuWLavl2tWNCgkKqvT0WDg1q+Tkkx8qde706S/j2WfPKRXanWgjMr5Sjd+VRXV03mV5lhXXWeGiM+YU1wz5VvHEWXNda89j1LtOh4uKcRWbQOwzimYV/K4odUUrvfPurDt/a1i6Ogso4nUGn/fhinuuvdf2wetpNIPupM971U38aFDoGxjc9FTIu++YV8OlrNA/91V9er4aXEEk28Z3Nsk4HfT5NAzDqIlUpq/V8ba844LSd2fkEx1T3uy2O3bSUe4ujdO9anQ239201R2b3PtTp7emq2+2ccf/RPdQnhPA/b4i9WRjkmHsHHaamM/JycGcOXN+VyHuuxOu6OGGadw0LS0N2GuvRoHnLl8+KyrSKQ5VGFJkumHjFLekuoVPojwkGshUMOsMOL/Lz4/NwlPwarg3B2oVyArFq4bLqYjVNe1BedDz3NkBFbOcOecyC3Uy6P3SyHA9/0FlpEs31HnBvGqEBp0SvDcdwLVdcqd+dTCp00TLK+iVN+5+A1qfbjmVhWvoBH3v1mVVtu1k06qsAVWZ43d33PspbybJMIyagzqrk+nDeU4y/UCi5XXubHvQ/0D8Mq8gytr0l+OtbhjMdNVWYzoq8l1BrxMQiSZc9D40Qq4sxzWPCfq+KiZkEkUDGIZReZLezf6EE06I+/+TTz7BjBkzAo8tKSnBb7/9hpKSElx44YU7lsNqoF69egjvLi9HL4cGDRqU+oydZV4ekJXlC7Dt232RlZ4ObNvmh1r7gr4Ftm1bVSqN/PxcNGzYEpmZQL16QK1a/vG1avlpZ2XF0q5dOxYunZIS20yNO98HreHe2QEbRUWxtdq6g7mGdXteTHTz9W0KIxp4XHFxTHjrjDwQC61Xr3tJSez8UMjfwZ0z3J7nlwvrRDeVKyyMlSP3OtAQuszMWB3rmnSmyRB1DuBpab4Th0YI85OSAuTmxu5fjQNej+HyrFtuisf8Mb80PFiuJD3dT69BgwYIhWK716el+T+aH14nKytm8OieD+owSknxy4Fp8rpaHmoIMe/c3V4NH9Zl7NWNsTrncax7hbMekYh/nwrLUPcNUGcE61JnYHQTwyDUuFQnh74GUpc+uHkMMi4Vnqd5cY1FTUcNQo064U9Z7xzmtYJebZnsubwuzyPl3WdZBPWnxHWuGUZ1UFYb3VPQJWUqdst6/lxxnuh4Fega7VXWRrgaUcexWvt8fYsK98vJyIiNWTpG67jJc9lP62RCaqo/xumYpxFxie6JfTTHMfaN7pthNN+JykjtHaD0JATLOUjcB7XToOWXbj7cujGMncWe1JcmLeZXrlwZ/TsUCiE3Nxe5ubnBiaamomnTpujVqxduvvnmHc/lLmbLli3VnYWkaNCgATZt2hT4XUmJL9Ty8oDNm/2/c3L8meWiIv/z/Hzg/PM/wIsvHl7q/PXrl6Fu3VpRUZif73e4der4/+fl+YNVWpr/N993zs5fBwBX6AA7V8zroOyKA/e1eW44uIbY6WvWKIQprjUkXQcofU1cJOILUw7OFLYqpinIaSDQqVBcHLuWvteeRoCujaewYvSFbi7H/NeuHUuX96tlRUMhLS22dIIh/nRI8B4ZRcDzdE8FpsN7zsoCatdugI0bN0U/p7CmYaRCkO2I9cHy5TIRz/PbYmqq/xkdIjxOjS41kFg3rnOA98nyzsyMORko4F3jhdAAZHoqIFmuGomgBoo706ICtDwx74p1fdb0b/5Px0zQJkpu2sR1Erm41+E5bjSHew1tdyzDRNEgQeUQFDGizjolyCkRZOCzbTdqlLg/TdYhUhESOTQMIxFljfl7EkFi3n329Plx+1Idq1x0fNYd4csKz1dHN9POyChtO9AJDMRPBGj/TzHPtwJxTHInB9LSfJuNDm+m4S4X42eu4HbLRcW8HlNWyH6iUH0dDzUvTCtRO01GzLvjSnlOHMOoDDWpL03G6ZC0mP/xxx+jf7dv3x5nnnkmBg0aVLmcGbsEdvra6XLAycjwB4mGDQ8IPHfDhqXYf/+D43ZH1YFPO9eiopgXOKij3tVoHjTcTNc9u0Y+PeEq8LS8gNhGcpzldmdvOUgzHX5Osa6ziDpA8p3rdA4AsTR4PFA6T64Q0vPd+9XwONcBwBlwdW6omKcIplGhswMqFHVzH15PN/ujwaKin/fJsmXIvet40D0JOKPNWX53Nri4ODYD74pld2bCNeDcjQiB0rMGTI/lpDPjidA8liXegtJR4yvZc5hH99qJznEN4fKe5WTCLN32m8iJoPksLz0t/2SOd5disL6C0i0rvaru13aHftIwykL71Oq4dmWOVYduMufpjHYy19Dj3Bl+fp/IORkUoZUIN+KorPvS8PyyxgmF6QU5Nt370OPd6IWgYyrTj6pjJeg7c3gaRtkkLeaVQYMGYb/99qvqvBhViG5MRkFPDzBnelXou4wceTM6d+4XJ9iCRAVnPimKggYSnaHcWbihwEpZA67mWwcy98cNJXP3EGB6FMAqHBUtB4aHq7DU2VN+p5vuaV508NTr6Gy3Xk/3UEhLi73nneHgzB/gz85z8GYegupP06P41p3ydVaA98gyphPBLQ8exzcCqPingcSZdOZTHRRqMLn7AbgCU+tfy4H3UFAQe3bUOAsKC0z0v/tZIoMmaMZIz1VRnOg7bf/us+gaW7o0gmmx7NRoCzLoXWGdiKC9BpJdL6nPreZbl3NUpSjelWK+plGeMynou6A24tZhomUVKrS0L2P70Tbptg19BtyZXAoDV/gkOifo3nScC3JGuWNCZSkrjbLET1WhDrCqulbQeOheT+siqJ8NskG0XdC5qs5joLQz190nJiiv2n7VEc786jjMY9z2ECSyg/pmd6xiGonyl8jGSAY3/bLGJtfWKAu9h4oQVK+GYSRPpcT8mWeeWdX5MHYCFGAMUWYIMQ2hRK+VA4CcnPXRAa+wMLY+WUOyOYAWF/vfA4kHl51pDGtegtbnq1jXWVQNqedgmpLii+GCgviwtIyM2H1Q9GmoMMWeHuMOlPyOeaWYolDnORTGzA9fJ8eZdxX0zEdRkV/PruHAdXm8LoV+OBx79Z0uJWAdU8RyPX1+fvyArxvhAbHz8vJiQjs1NX5/AQp3nYXnfgFaJ+76QC0zN7yQYp91z7rSDQhZbtz4ka/m0/pzy0yjBngNRl6wrHSdJNNhW1QnA/cH4PXcJSBuBAgQH95II9V1RLDcXUcBz6FDhX/r95oG/2d+NWqE8H7VoCYqrssSH7yv8hwf7jlBz1EyRl9F+5w9SbCrAa5o/bvROUG4fZm7ZESNcE1DnYTucfyeP0BsfxF+p2LenZnj86DOKP7N58kVXG6/C8Qva3GFnkYMEXUW6rInzSuPcx2pTFsdsUBiJwjLrqxlIUFLf3Ymeg9B37FNcSwIalf6TGta2i+4/Zk6b7TdufWozgeeG+Qs0HbnCmJtn/xf61bbnfbHHBOJK9zd9BPBMdKd/U6URjICW3HLyk3D/a39hHteIirbJm0G3jAqT6XEPMnLy8P333+P9evXo5CqIYAzzjhjRy5jVBIOrFxbnJ7ub2CnId9B4peoQaY7lKtQoPGkxo2Kh/JIZHRWFDVwyjtGrw3EBmzeI4Ugy4nimlEKKn4p8jR9pkGhqrP2NHo0PF0NUjpP0tNj69eZR+ZB3yKgDgeGl7sz/Pn5MXFOcanvoueGdkDM8aNCkvXJ+2bdMz1dE8j2FA776WZlxd8/02B+KaqLikpv1sZ7UacBv+dPQUHMaKNxW1BQ2gDhLLuKB36fnx+7b7ctaaSBaxjqZnqRiJ+OChdufKSzLnxemGZQNAvLRsvEJWiWp6xnSGeVXGHvGomus4q4EQ5uebj50BkrV4gnK+j1GPd+kyGZtJNJQ6nKSCNX5CruLF9ZYahBkRxsa/q5Pksqbrj5I/9XI579ifsM6rXdyB0VVEyHn+leFJpfOlD5mVvOfKbcWdAgcRfkfNI+F4iPYHIjfrSPCRKL+sy4jjgtb7c81LFA3LYU5HDRfLvp7qwZendsdutc2632p2696maqmrampeNMkABnevq5Xt/tk/T/sp5/997Kwr0+nUD6XLj9WpAzh3D8ZB7cDXRd5xA/D4pISZbKnFMWlU0raM8VIH69vmEYyVNpMf/kk0/ilVdeQT538QjA8zyEQiET89UIjaaMjJi4ysmJD8O/5JJJeOWVXqXO1dk6IH4GWAdfIDZg03GQDK5hsyMGshqL7gwur6WirCyhwuPVYNABlEK4sDB+8xotKzUoKX71HjUUkM4Sna1nerrLPX9TsHKGm3kA4gWgzoirA4DXZ3qsr6wsP8KC5ZSfHxOsnJVmmejadh3Qeb90HrkGnHr+WWcU2bx/3XOA13FnQ3TDRc66M0xf799tT/qWA80LnS4U2kGGpe5KzDrTulQRrPcXJH5U9LszTLqOX9uTonnTa6lByGu5opDodSjG+FnQs8S26go9daYAsagMzVvQ9YMcGbxOIvGfaCYzEckY6W5aZRmS2mbKOsZ1nJSXP7fPVBHK+w8Sbhrtoe2KadAZyFlvbSe8vrZPfsYf1qv73Go+9bllXlSU8FlxZ+PdpSt6H0DsuWLb1P5bN9F0r8dn1/OCd/DWctJ0eYy7N0mQs8StJ41YCDou6P7KOk4/d/sJ95idIX50bA4ak/m9OkP4uevU4X2UFUmg96r3EuQQYd2roHbhZ+oMCeqDgMR9kF4zUfly3NLliHwOXKeYtkG3XHU8cJ2/mm/3+S6r/t37dPvrsu7fTUOfGbdPTSZCJJEDN5ETM9kZehP+huFTKTE/dOhQPPfcc0hNTcXxxx+P1q1bo3bt2lWdtx3inXfewezZswEAixYtin7G1+n17t0bvXv3rrb87UoosMLh2OvkdLDaZ5/DAs9jx8+1yQybpnjS8EsaRJzZoAh002N+gODBJhm0A+fMcKLzg8QUZwl4rhpsNEzVqFNjSmeS1eDVsEwNx9RZb5aPeqWzsuLzxSULaiDpa9EYAu/OnrJ+deM33heNX1dA6mycvk6QaXJmXI30oBkC1/gH/HvIzy9tONMYZznx9T1qUPN8NXxcYaGzfbr3g84GE/2fdcsd8fn2AM4KhsP+3wz75bOiAl0NMRVtPE6FsNaHLjlg2ygoiC2PcNu2a/zo+cxfkLDS9q7X03LQ50cjS9yZLXU6Kdr29NkhbG9BYlrrlddQXINVjTu3XpPtM5Il6F4reg3ta6rCKHWNd1do8NnTcPGgdqD1wbbAtMuaAeX5QPz96GswgbL3VmFabv5Z/8yL/iaMVlKBFiR2iOuAcPtJbePsV9RJUZ7DhkJSy0f7OaarQs9NTwVbUBrEzUMiQZ+soNF6dvvJoHTLE4plie/KPptab0H1ovlW54E70635C8qj62xznao8lv24lodbNq6g1TFLJxLYJph3N9rJfQ7VSaqfuee496HjszqC1BnP//n8uQ5Bt271+dUoPR0T1XGjb5HRPOrzUZZzp7w27do+hvF7plJi/p133kFmZibefPNNdOjQoarzVCXMnj0b7733Xtxn33zzDb755hsAQMuWLX9XYl4FvBpPNIyyshohL29D3Hnbtv2GunUbR420wsL4MO699vJfeUcRyQ5VZzYTeel3pPNVD73OIOj3QbOfOogQDkB0CFDMUehzwA2FYmHUbrg4xaga0BSjOnvsOjhoZGg4eZChSdFG0UkhTJGtdUkhqjPHOmjSeKaIdQduCkYtM15b2wvLkXnIy4vdF1/tlpcXWxevxjjzpw4h1p/Oiqmxo7PgBQUxJwln1NWhw1BcFYo6Q6JlRscMr0PnjhoKzIuKTxUt6qDR8FNXoKtRRmNHjR93xpTGvhr+XEIQCsXKQI1erSs1ghPNyKioCzLgEjkX9FlmGWj7pfHK67iogHGv6xqQbl1WBhVgFRE/5eE6d3YknUSiSAlyjhDXYHfTL2uW0e1D9Vp6f2zrbINufxCUrl5fI5yIvrlDnwf3MxUeQW2S6aanx5apuPfmhoerk4jPoCuq3PLQZ5RlEOS4cPNXEXFblkMhmXTUUcJzghwFbt7dMSGoXSSLW4YVfea0nhPt7xPkICnrWdT7cfPjinEew/7T7Vd1qZm2RxXFHIeB0uOfm6egtpwsbv1qG9YlkoR50ueJY53ahzyW96LPkToraOe4kXiuk0FtBs038+I6yXTvHHWcuPduGL93KiXmV69ejR49euy2Qh4ABg8ejMGDB1d3NqodDm46q6GhaRzQ+/UbhnfeOSPu3Hnz3kOPHgPjQmb13eNATNxqWLIOfBSIPJ+UZZSWRXnGjQqaoHVZalS6eeV3aji4ewaowNLZaA6WKt5VcDNtHSxZBwyFVXGuAz5D53kO0+Dr5FwRxzy5sxcUurqu3fNi6875WTjs1y/LQgVjJBJzLhQWxi8LYF75/l3dI4DtgHkvLo7NSLtCm8KQn9Gzr2vemU9tW4WF/rm1a/vn5OfHG1Y6S61lyjbiComgyAytdzpPUlLiy4vfFRf7eapVK17waOSHtj/ihk6zTFiXrqjQOtK2pgamGqf6bOozq/evjh03f3q8Go0qyl0B5TrY9B74jCVjlCUjnrWNaJ5dMZMofU3Hre9Eok2FarLOgiDniHudRMJD8+fO7mm+VChoJFXQbJbbRhiB5X6fyFHA9qIzcdoOVPzyOq4zkdfW/tbNryt8tM2pY5P9EBC894QrxNV56a6v5zWDNjkrq67dmday0GODHE9lRbC4BIm68hxOZYl3t7y1Xy3r+olwhafmL6gv0LIu65p6XNCzXNbzpNdynVO8Z1fkuwI/qG3z8yCnieuYCnJY6vOtedQ9Zni+Wx76W/so9/tEbUmdwFq27pip+WLe3HvR9pUor250ivaLKvYNw4inUmK+SZMmVZ0PYyehHauuZ3aN9UaNDih1bnp6wzhBWFzsi5esrNhgR3FSq1b8AMWZWPWsJkOyhnCic7Wzp1hyRY5egyGcPF4NPH2POc93B3M1NvU7inoV7IxsoHfaLSvmiWJaB0wNn83I8H+47IHfpaTEl7srLjgDrcKS9adinRvpqYHMOuSP7mbPmTXeM41edRrw3jIzY9dnGirI+T//VmGghrka3XRs0LkB+H9nZcU7SoqLY28lUGNInV2sQ9cR5Ap8fQMB64plp7MVGm7ISA9em7vka3SCzlRrnbDdMn2GfapoZx6Cnj2erxEgbvijWwdBxiZ/u7NL7uyO5l1nb7n5op7HvLOtqOjUY4BYG9A2q3l385fM/h1lGcG8B3VWJkpD6wooPUvF+1Ncx4rbR2mfom/MYLvWiBCe5zoJ6XRiPt36TrRBGctRn71QKP4VjtoGNapGI03cqI2g8tG2o8fwO21L7uf6N/tehkbrzCn7XqKzp9ofan0mEqXaz+j1g5wM/FsJSjvIaeYSNI6W1X4TiR9XvJUl4BOVgeuETYQ6e/Uz1hP7h0RlpWkkaxu49+bWZ7LpaJ4S3acKeBWh/I7nqm0R1DcmspHcvsEtcz57bqi/2hPatoKepUSOJJ6nY7Xep0bMAfGOaI2cZHpuOen1XIevnlMWlbUXDWNPolJi/tRTT8U777yDLVu2oF69elWdJ6OKoKEXtO6VYjI11Q+VD1rj7nm+8lFjln97XmwzPBUjNIjYIaugCDIk1fjkZ5XtnF2DQYWLDmgMv6T4osiiw0PLjDvLM7Sexq8KaJaJ7s5O0cL9BlgGKi5UzNHQZB7cMD2WSXo6UKdO/Bo+Gt1AbA26Xocil+WsdejOeOgeAoAvvtUwVmOBg7iun2Oew+HYUoNwOJZffUMA0+Cx/F6NAN1MSJ0trB8u7+BMnL6XvqQkJrQpKPLy4u+D5e8uQ3EdNWxLvB9eR9tZXl68wcZyVmcR90Rg2dNBRtx19bx3nfnXMlGnhtanRh2wrtWZp8LFDb90DVeWFSM4tOzUkFXHDOtWl2xolANhGjoD4wo74kbZKNpmec9Bx6ixrUZyWcZ6opmvoOOCjOKgWS81Vl0R49639qlsU/xcn3P3GE1HQ8PpjHLz7DqGWDdudArrNVFb1bFAnx91gCoqxF0HjtZLkBNJHR+62R2/c8V/IuGkzitXaPB+2c+4QiootFjDmBMJd5Yz7839TsfBoDExSJAncka4glodP2WJfqbljtuE9aqwvJjHRON5effn5qEikS9lHaPtkrDf0/1DNB39TTQ/bjnyOWT7CHLMu2m5TkteU8s4yCnIY/R72hDqlNP+mHnQvZBcsa/jueuopV0SZLu5z586BRL1hYmeE/e4oPMNwwCSnC+N57rrrkPbtm1x7bXXYsWKFVWdJ6OKYEcM+B02Z3S1A1ZjzWXChDtKDXwUJPn5MeGnr/XizCCNPAplFfoUH/q5u0ZSj1Vc40X/dg0SDmJqYJaU+KKLM+XchIyCivdHAc50NTxdjTfO9KohrOJK8xIKxb9/XPPL66hgZd45C5+R4UdA6OY1ulafML8cJN3Qv0gkXkxz4zctU51pVqGrM9RBxrc6IRhhoEYBDW4O9Gx7bvQIZ9vT0vz7VgcHBTwNeDWc6BCggA5qI9x3gN8xDabLutI2DfjnMG2+IYDpsr3oj+f518rJAbZtiz0XTIdlmZcX/zyUlMTySGcT22pRUWzPALZpLi/QH60/vR6fNTo4mCafU3VaqVGmMy6u0FdDVEWKzrTo/hP6vKvxGeSUYFm6z7H2Fe5vzbd7D1o3bl0lEtPMT6I+yW1nroPFPV7zEeR4cEWB25dqmekz6OZbHY48TvsunTFPSYk57Nw883s17FWwuWUd5BwJ6tPd5QFB5a+fa/+qyzz4f1A5uhEVbtSSe7zrkOT/en6iGdRE45f7zLhlmyitsoSwe36iNploXAx6hhIR5ATQtIKcRrsK917c8YjHuMcH3ROfR+2b9dkPakMcp1yBzuP5uTuZoeMp2wrbm2sLuc+4azsEPRfuveq9sY9nv6+TFHl58WMPnyvXOaiz8YnKWvOnZcnPtH8q6/xkCOpzDOP3RKVm5gcOHIhIJIJvvvkGffr0QcuWLdGsWTOEAkaeUCiEV199dYczalQcFU+c/czPjzfcKNaCDJQtW36Jhk7m5fkzwkECGfA7Z27OpaGNarBqKJYalkHGt870uTOdOiios8AVtLrOWIUZBxcVNRRFHGT0dWmhUExQMh86OOlMF73wnIHWmVHuXM5QecAvVxWY4XAsLS1XfWe9DrI08rWcmE/evw7wvB+mRRHL7zVU3zXidUM9lmlQRAcFvOvR11B4hudTkGu9sHx1GQHXv2oYnruXA+9J25u2VW1vGtbNMtd2UVwce40jEL/Lf3q6/6Mz6mxv3E+AaamBxnt0o1zofKFTzBWY3CBRxQmvGTTDRkdLZmYsfzyX9agGFD/XjQO1K9dZJTUOWXf6vOvzwTagMzSaBz7fatixfNQ4Zh+lGw2yPtXYdcuCedUZKT4X2j4VncHid+pocI1zLV+3Xvi3K6B5HiMdXGPYzZsrdtlu9Xh1PvEZdstVZ7VYL3qPQMxJpfXC67jlq4JH86TiR59plp+KE61ztiemof0NEItOcZ+DIGemK6q0v3bL3K0zpqllz3FNBV2QSFb03l2CRLor4Mo7PlmChFQi50Ki8zWdRAQJ6Yrku7w8utdWEZ6IoDpyowl0HGfb1bxr9B3/1/y5Dh+er8+I+zyzfTP/vIaO/fo8qS3Ba+hmqBzTeS2Os2675rm8puZN22skEh8tqPdD3GdJHRhBBLVpt07L+l//1nPdtrGrHUqGsTtQKTHP17sBQElJCVasWJFwhj5I4Bu7FooudtB85RbDx33BH1xPU6Y8heOPvz4qcJkOBQ+FGD25BQX+BmRqTGtoMBBsROp3QYYSEN9hux5ovdegQV7zHLvneCNTQ4GDBjogfs1vSopfhnl58U4MNXw5OHOg5TpuDub8m4MkxbG+95y7lvM+OZtK8Qj45Z6REW/Y835153ot25KS2P2o00GdJmqYqANEPfN6z5xdp2DyvFgeeW09j44DClmKCXdWXJ1BhEYVj+f3zIMrdJgXnf3lMhO2AxXz+fnxdadtjGWiryJUsZee7uchIyPeceKKKZ7P73TJgh7H8tToBdfQ0XXRagjyN/PLUH810lgPLBcadIwm0PLUNe/cJM0V+sQV+XSc6H4WOkSoYNRypvh3Z2R5LS0T/aEDQMUj21OQQattTtHziDoQ3GMTiR7NM0UF71WdDzzWFepAfHtx86f597zSewaoAa4ONT3XnZHW/kz7XFfMqyByy8ENu9bvNG11QPJ4zbd7LxrRws+073DzrPfjCjrNs7Zp7Ve0jFTIJKpzvYY7rrmmUaI2U5Y40X7DdZJounrv+pkKWy1DLTstAx7H+9C2qM7KoIgIFYNueq7zRPPqPmOuEyfoWdA3JPAzjv2uWOd3GvGmkwEc192y5HX5HKmT220PdJC54yyv594vP2MfRYe7ps2IrFAo5hhk2+eYz3vjhI06E7X9qnNb68FF+13XxnLHOEXbAnGdZzpO81p6jF63rGdC78swfi9USsxPnDixqvNh7CQ4EKWmxmZ4NYSZ39euXTfw/IkT78Xxx18fN7BTnEQivhDijKt2ohRA+v51FZmRSEzAldfx6gwkUQMAiA2STJMdvgoMFQMlJb5YUxGmBjUQb6jw2twUT41ezh7n5sYEul5DIws0fRVCoVBsRltnqil4OJjTwHCNaIoz1rXes66f0x3wWbaMJNAZVs0zEDMa1GjkbDgFE6/hGitAbGZdxYPnxRsp7kyIimM6RfTd6vqqRBo8GRmx84Je3RYKxe9yTYcIl40wH/zNe6OTQZ1gTIPvqOf/uqad7VANHffd9RkZ8bMo6tBhm3DD2VmP+rzp86XPAO9L75nlz/JWw94VPZqeziglWgOvhi/Tp6NGn2MapHRQsC3rM83P6PhQQ07zxnbOfOtnzJPOVqkhrg5EV6Dp9ZPFFUyKXpfXUuHoOgX1PO0PVDy5x7GMNDpFj6HB7jp83D5Fo1bcfKjY0O+A+HpwHUEUFVoPrqhWscRnzxUybki95tnts8sSGG5bDRK8Kkjda2m+SVmzscngCjtXuGhb0f/5t15HHVR83jTCgfel/YPbvlzBxzyp443Hso90nVNuHbD+XcewW09Bz5D7meaTeeQyK60njdJiOvq/3p/aHFoW2p6ZBvtDjULivanjTvtXCmvmm85Ujqdaxur41AkVfQ44hjM9bmDL62rEEfsH3bhWl+VpBA3LMEggu32Kjj9Bz2fQeXwGte0FHeemZ4LdMOKplJhv2bJlVefD2ImosQzEZuYZIuvP1O2Fiy9+DyUlKXjjjdPizl+7djGaNz8wKmyYFmftuJM9Pd8qhNzZPhI0SLtoB68dvju4qIBwN7IJCrlWY5Lh9CoG3EgC3itFc0ZGbNmBKyA4q8sBn+fRecKB05394n2xvnjfGjGghoG7czvT16UFNKr02rw/DZ3mtXnfnEl3DVw15LUMeQyP07W4PEYdF7pvgBqlWh5sl64xojP+alDxe5aH5oVGBsuEqCFB44uwXmkUqVPANXJ15k6XLPAaJSV+RAbzT+eMvtFABbTbLmjsasSDKz5poHNvBU1XZ/eZJzc0XpcsEHU88BwXpsvj1LDXZ1TLSB0OmjafQf5QROoxvB+e6wphPh9a11q27oyqG1bvikaez/xpW1UxxXrSa2m0Da+noeNu9IGWk7tJIctahYeWc1BfqgKJxwXVs5ZDkLh286h9nfaZfF54zxQXLC+dtWfdaRSNiifNixr4bt71miyPoHLQaBJNxxX9QWNLeajoZ17d65UnPFS8u+3MRR0QWjZBs5t6Tzp+6P257UfbszpI9Nr8Xo9324fWqeYpqEyC+jQ3CiboWlom7lji9gt6vzxHn3uWvT4DfI55DsdddQyyTN2oErc+tF3TManCnEvu2J+q447XUicyr6EOQNoWbEM6Xulkgkbr0W7T5037I3Uo6ffuuKh9k9t/KuU5BhKdV14ayXxnGHsq4fIPMfYEKCB0llANqlAIaNPmOOy//zGlzn3mme7Iy8uPinf9AeJFHgcU9fIm6pQ9L35jLjVeOXDpIMtz1DAB4sOjufZcBz4OYkVF/gwsxaUOOq4xQCGon+lvCmjdRIb51plOlm9mZsxApwdejSZuvqbGdkZGLJKCYYD8H4ifAaExoYYlj6exwmupcaOzyRT9nKVWw4Z51o3MdNBU40HDqNWpwY3ciopiG+3wWgUF8Q4G/q17Iui96qvh1JhwQ+J5ri6lYHmz7WrYvesw0qUQGoHCjROZPtcvpqXFhLu2VxpwBQXxTi8gXryyjHRTIt0rgeerwZuTE/9M8Hl2nS3uc8RnR43YIEPKNXBpPLIPUEeIa/Tpb21L/K3tUQ0wV8zxf84ouTNHbAOu8NN6cMWDKxR5HRVCrhNRf7RuVcDrc8LPXIGs/ZJroJdn2Lr9lop8bcN6r+pg077ALWsVMZouHVXq0NF65LOhdcI+jecHOancPJCgpRFMl9cLaluuM0Lzk6g8XTGrM8VA6Wgo1wGozyMQL0iZnopmHe/cdhE0A+lez32G9ThNP1E7DhLwbj4UtwzdY4PGd7ceeK/u+MPy0T5AnToqGt3Ze3eZl+t0cNu5K4q5aanaGUBpRzfzxWvoDHdQ29RxnJ+7ywrYJrRtaRlpNIuWp7YH5kGXEmkb1bR0gsDd6NUtc23X6shgmbmRPnrv7rjB3/q31ntZtmF5JGqnhvF7pFIz82Tjxo149913MXv2bKxbtw4A0LRpUxx++OE488wz0ahRoyrJpLHjuEZUZqYvAtS443dBvPPOZbj00uFxnb2mTYOVhqPuMs41uiqqgJgApFeYaehgqrMU/EwHOB20+b2KWxrXgC8cc3Pj1wsDpUPQVJjqbAGPpUilFzwcjhkGQYKQM6VqoPIaDBuPRGKb49EY0FkalosahloOJSWx2Vk1RtXAUMcK86br98Ph2DpxV7CwjoCYYGZaugkey1HzpSIiLS0m4l3jX40Gt01oubpGNetBZ2ldkaVlrtfNy4svdzpjeG3mnzvYh8MxEc886VsdtOxcEadGEp08LDNtX3o8Zz7cTQ6Ztj5DWud0NGk5uM+PziDpcW5ZMy/6vxq2Kl509setW/7mc6n5UmPPnenR8120ftUgJ0EGn9suEqERIa6hzNkt95oqzLUsVMAFiXVXgOpSJh4XVFb8zedc86LtUPuFIOeE67DUetd60jFE03HrjGh71fOZpq5tVsFUlmHu9ntA/DIfNy0V3Nrvu21a61rFjRsZpe1N/1bRrMdq36Iinse7S4/0WXH/1jaloe68Du9Rj2EZuO2FzuagMT9ISCY6Lqh+gmbIgdJ1ROec1olb7u6yJG0Dbl60/bBP5POnZaz1wzrQ+tJnj/nW/Lnfa7kzLb7WFYiPAOB987rMN8chpq31GArFnGm6bxHTo0DXCDV9vrVeXLtJyyzI4cNnRidN3PJUJ4eWo9svaDvQ8906rAhuPnltIDiazDD2RCot5j/55BPccccd2L59Ozx5+ubPn4/Jkyfj+eefx8MPP4yTTjqpSjJq7BjasXNAUMFN3PBysnDhx3EGAxDrxHUWV8WfGrslJfFh4IoaDp4Xv/7XFQWuYa+C2z1GxRgFItPngKeGrg7YOlDqGmi9JuCLvPz82Ayqa4BRsLv3y8+ysmIztq6hEIl4+PnnZfjllxXYvv03NG3aEg0b1kNJSQpSU+tg2bLFWLXqZ7Rs2RrffjsNoVAJiouLkZKSipSUMDIyUlC/fiPss8++SEtLQX5+CEcccSxSU1P/V2YeMjIiKClJiTN4ef8627ZixTI0bNgCmZnpyMsrPTPveb7xQscG6xvwy0cdIDS03GUbvBYdI7oevqgo1p7UiNfz+J53GkG8BhD/OjutaxpTurRADWF9ZaG7L4S2NTcag2iZqjBn6DWdXDpzqYaeOpV4js5U61IKlgkdQ7puVNe3M019Pt2lF66IoJHqClJ1RAQZyaxrfQY0be4L4M5Oq8PBNeJViKuQdI91RYHbXtVR6Doe1GHplgPLWK/pimAViDqbpe1Xxbkr3lRw8RgtD7ZFtm9dWqK7Wrsz6UHOASB+CUOQSGW7ZVvS8uUxmm+tR1cguMJV64bHuw5cFRxuO3MdDXq/7rHuEipti0SdukFLptTBqs4NPZ/OSDpY+fy7ZcLnLmgDNW0bPN6NPGI0mopQvQd1RPB7dykQ4TWCnCnlOcm0nQTVg46xeq4+A2pfuOO+HgPEO1fcPOkz5Io5dS4laud6vzoGuTaH60xKTS39SlSNYOI5urRE+1Ft38yDjo+6lCUlJRZlqOepI8N1UAOxdqb9rQpvXRLEiMAgx67b53G8JnwG9DPWX1nOOrdOy4Jp6JuEXNx+zjD2VCol5ufNm4ebb74ZkUgEJ554Ik477TTss88+AICVK1fi/fffx4QJE3DTTTfhrbfeQqdOnao000blYKdGARAO+7PGFFuuSHLxvNhmX+qFBfw0OMvsrpnWTfDUg6rrrdTAdUPS1GDnZ+7Az8/dQZc/ubkxoycSiQ26rjDRgYZ5UQMuLy9Whtw4zfNiv9Xw0Jl7Dugc3ChuGHb+1VcT8cAD1+CQQ7rjrrseR2ZmLVx//R/xzTdfJV/BSdCu3SF44om3UKdOHdxwwwWYPXsqUlJS0LRpS9SuXRfLli3EIYcciWefHYWRI1/Bu+++jIsv/gvuvPNaAMD06RvANx988slIFBZuR79+F0frl69D03bAHfwpLmhocDMmzmAUFvr1xE0VgfhX/PEzGrAsQzeEXsUAPysoAPbaK2aIcA2/znTR0KdocddcE53FpNh3DRsaVxoCyedNDWxtq+4OzCwv17h3Z2r0eSPuMgcgJpqBeINPlyrwuny2dGmOO3ur5ctyZFr6tgjmh4aiOyPjzjQrmj4Q/CpEwnvS/Lkz4W4duSJLv+dn/Jxlp84glpW+DYBps+6A+KUSQOl+Kuh6rAMuW9L7UvHvGtEqNHQW2BVR2le5woH3y+dA60jrm23MzZPOsKoDyHWIBEVoqOh280+ngjo5NM/q7NXZUP1eHdDuPauTkvnjPbsbW+rYpffDOmU/pQKO3+m4QjESJK7o1FMnlUbc6JIcnquOF42oUoeJ1oP7PxA/vruOJcV1zgQ5YpgeyzdIXLGNKHqOfubWKa+r5es6kPS50+dCxa7mlffFZ1idXK541o3kiApiopEQbhmxP2d70Haov7WP0Xp260GfMX2OtazZjlUMu8I96Nly2wWv5zpY9BraDwc5kpSKCHC9nrtxX0XTMoyaTKXE/IsvvoiSkhI8+eSTpWbe27dvjxNOOAETJkzAtddei6FDh+Kpp56qkswalcPt7GmgcyDi++eBsjtadt58DZrbeaqBB8SEGIUzByu+Y91Nm9d3O1/X4HMHcv6OROKdDTrQ6GZqbto0rPQ8ij1eV9ejc4aZM25cp8/17AUF/m8KN51VdvPJ2eQ777wUubk5mDx5DFatWoauXXsmFPJ16tRDbm4OIpHYzZx44rmoU6cu3n//JUQiETRv3gqpqWnYe+99sXHjWoRCHlat+gULF87FJZeciBYtWmPOnK/+VwYlWL16RTStb76ZgiOPbBz9n0IeALZs2YrateuhoMDDAw9cCQDo2LE79tuvfbTcdEYWiK2Lp1HKMHu2FRowbjkzLa4T11kDIFaGNGrz8vwy9zx/c0IaRLm5pQWNhqzzWhrKXlISm/kA4g1jXpPtm/WrszQ0fjUKhIaYhtir6AhyGNAgUqHv5oN505BZd0kFnxH+r04NfkfDlk4n9zydjXFn2dRYY34pQtUBoUYzyz5ohk3Fn6LPtJaX9j2uUatp8d7VQHaNZT2e9cR03X00XLGSyEmg9afOCdc45zFBGzVSiGi7YB/OYyhQ3GU2QbNWek3WmStgdexQJw/zr04Jfu86UFSc6+ykG62g5em2C3UEuG3OzQsFDCNCwuGYw4t9twoN1oe2C01fhZz2IVo+ujGntgeep5EzTFNnzNWZqH0S257OtLNPycuLLwt1LLlOF3f8ZJmps13LLiiSB4j149oumbZeMxHaH7gOUG1z2j6C2i3vRfthfsfPSdBzzrIMev44BmhUFZ9h1oXaPtova9/mrvHXemdemQeN7HKdFSz3oH0k3LGEz6lrQ7ltTcvPHSe0TlxHkLYlXdrlRlywjPk2H/1e+/2gtqLPuOvMKA83Ms4wfi9UqtnPnj0bnTt3LjOEvnfv3ujSpQtmzZpV6cwZVYsOlOz0OcOsM5KJeOaZY3HeecPQtOmB0UGfA1RRUWzjLwp+z4u9BkxnpdWbzHViQHA4LFC6E9fBV41cfSVcKOQbOxpyysFDBb2KqyAxpQakeqZVPDCNcBj46afvMXjw5bjggtuxdOk3yMiohcsuuw3hMLBs2Tx8++1ktGrVAU2b7oM2bQ7EnDlfIDU1jNzcnOi1Fy/+HosXfw8AOOWUi/Dxx69Hv/v887WIRNLgeR62bfNQUJCDBg1qIy3NH1XPO++vWLp0Ebp1OzFav/y9YcNy/PWv52LZssVYu3ZVXJk+/PBoeF4h7rjj3DJaEDBr1mc47rgzkJOzKfrZvHnTsN9+7aP1wrpOSQG2bfOFNevAH9RLkJqagvz8QgDpUYNGjSE6X7R+8/JibYjGM0V+fn6s/tPTYw4AOlpSUmIz/qxnGsu6blGNXt18jmlzt3h3aQmXrVAUuUsW8vNjTiwNeeQ9ss26goL3HLS2lc+ghvW6glGjYXTGieJG2ze/VweXLlVg3+FGLqjhzzLSNPV51/6AeXSXW/DetFzc33qvapzr65k0pJqCyw3357Xc55ppaJ2oY4D3zXyyjbm4QlgjRyjYuOyJ5RXksOCzo05PPhtqxGs+eI47k655c2cwg4xmFV7ahvQ4LSdNzzXy1WmqbZ/14s4Iq5AOEvpuXtleKbrc58oVEKwD/mY5Egott05UDGnafA61DlwRpHnQdsZnlA4HbZ/qJGJ9aj54HW2/LDs3WkXLUsvTbevcJ4T1wbJ117gH5SeR8NLxN+gYd+zX+3PHYrU/El2X968z3fq5Oj/1DTh8lvjMZGTEO4I0con9EvOiM+B0+LsOB9orPJeTHtr2dWNF1ou2Kz4/kUj8ZEHQc8f7ZQQRnzeNHuI4q30Vr8XraDvhOOFei/XmOq/0XH0G+cyozVWWHeq2Zbe+g/5326dh7GlUSsxv27YNzZs3L/e45s2bY968eZW5hFHFcE2XvlpFjQ4dNNPTa6OwcHupNNas+R6jR/8NV189Ls5wzs+PGfScjeaPvqMYiAkaNZ5UJDOvPEY7fTc8TTc1orjSd3MXF/sCDig92BUXx9ar8xpqlKnR4M6G8TMaebz3oiLgiSeux6+/LsaQIZdF83n++dcgPb0uBg48LvpZenomRo9ehOuvPz1hnfXv/2f8+c9/x8SJb6Nx4+Z4+ukPEAql/c9ADSE1NYRIpG50Bjk1FWjRohX23bcVgJhhz3d5N23aCv/5z8e4887LMG/eN9i+fRsA4MQT/4ROnY5FJAJMmLAB//733Rg16tnAPD3zzP046qg+GDr03uhnP/+8JGq4+IaVh5kzJ2HEiGdxxhkDceaZF/xvvwQPr7/+NJ599l5kZdVBUVEBHnroTRx5ZO9oeeoaUsAXs7VqxRtRbMPFxbH2RoOgsNDf2DEz0xfy+upBbr6nhqE7k6UOBYpSii01TtSRA/jpMjJAN8tTI0UFt870akg8n0NGswCx58idgWGb1BlOdcjpbJ3OTtK44jHqQGNaOpPJZ0KdDzTiaKSqAcm2QPGsQpPloMYhy5DH8TO+8SAz009Pd1NXAcgy0Lpk+TMt5lP7G3XG0HimAe/u7eGKXZ0p02sGzRK6IleXkLBNaTm5s4eu00HFobYHd7aT56gwYD5dUcOoKS7FcIUP0T7SNapV4Oi9axlr9IeWic6SutEVTEM3TmS5uWUdtOQkSHyr2NX+XKPKWJcqeNQpop9p/8dyZF+jS2rc9q4OC3Vmqyhzy5HnUjiyDt17duuN3yea8da01fmgbZ/HuTPw6lDStIhGH2gartOcuBEw2oeoQ4F9keukd59z93lgOirg2be4oetMg05VOon1eXf7E1365fa7ai/puJWWFlt2p9FX2r8DsSWN6lBmX8LJEW2fOqbp2KrtUp0LWj68b0a86bPp9jmucymRI07LTJ9D11nDPLo2pLZzpus6ut22x2ODHK6GsSdQKTHfpEkT/Pjjj+Ue9+OPP6JJkyaVuYSxE+DsFztanREAYh3zX/86EY8/3iMwjaIif9E4BynPi218prPgOigAMZETDscL6/x8X1QHeVRVjAClw6zV4HVnzOjlZh7VWFNjTvPI9ClEateOH+CYD254R6OYSw4iEQ8FBXmlymzgwOPxyiuz4z4rLMzHqafuV+rY88+/GZ9+OhxZWXVw7bUPonbtunj77bnIyqqLtLSM6ECtSwM4GLszpSwD3ms4DNSr1wDPPfceCgsL8eWXn+Drryfjqqvuiw7mQAjXXPMArrnmAfTvvx/y8nLi8rdq1TK8/fZ/8OGHb0Q/27hxbfTvSAR49NHr8OmnwwEAs2Z9jnr1amPFihV4880nsGrVUgCIpnvHHRdi4sS1ccI6FIrNtj/55F8RCpXgttueQygUins1Ho0YGogZGcDWrfH1FYnEjCc6NSIRP1pAZzKZVq1asXans5psM2zraogE7WrO50qNbhWZ7kyFK2xcMcf7Zd3q+nMKMLYDffbY5t01uyxn/Zvn8znmc8l3htNw1nyo0evOtqhY54+WrYpwNQh1k0QtAzrq+LyqM5HXVKHCDTcTiVKmAcRvQObO6qqTQ+uF+2fQecM01WjUtqptgv0ko4JYLm45atvTNqLlr9+7M2KuAauRAa7TUsUW2w7zonlzBb1GYnDJiQpjvXcVFexDWf9azpo/d80+0+S9qcDXcnGfPaaredDy0zxqGvxMRQfLSD/j8jO2N31G1YGhey+w3bpiR8uRaXBc4nOoO5i77UuFlfZNKsbcMHAVw1pvis7i6jmuo53PCOuY983ra3+gedQxLchpxDJUx4mKP7YD9rVMo7AwJki1TWuoOPMYiQDbt8f6PZ7DmW23n+e9Er5mVcfdvLzYGATE9inSZ459GftadYrROaDOOTofw2G/r3YdTBwbdemhu3cJnw1dNx/kcFOHkzp5NV+aX+2LtA25EQ3qfObxOvaqg0jLnNfQz1wHnR7jtmPD2NOolJg/5phj8M477+CJJ57A3/72N4ScJ8XzPDzxxBNYunQp/vjHP1ZJRo3KowM9B0oVFTp7UFQENGqUjQsvfBtvvlk65Do1NRanyk3I1MDKzY1fk89BlQMQZ9rcQYJ/B3lddYDW+3ENMZ6jP0xTQ7koCihc1KilwcRzONByAON9l5QAdev6f9epA/z3v0/hxRfvDSz/1auX4csvx5ZZR9df/yROP/0iRCLAgAE3ITMzjKysDBQXA02bNkFJScxzz3vSHdrpPWeZM7y8sNAXqKzn2IZt6ejduz/+8If+yMuLvbKPM9AlJcBjj32CSZPewlFH9cVNN/WJ5vXll/8Vl/eJE0ciO7sz+vf/C0pKgDlzPo/7/rrrzkh438XFRfjqqwno2rV3XJ37hspWTJz4FgDgyivvRcOGe8eJM52RYRumMU2jxTW0+LmKDYZ+M03Pi82sqYhgu1ExBZTeOV4NRLYxfW2dGrJq7KhooYFPA4n51VkeID6yhCKAx/H1f7o0gXnSv/l88RkL2jxL13TSiGMkBY10pqcz9RpR4IYru7NpanwnchJoPvm9hsu6M8G8FsvAnQli/0R4/zTiNQrENRhVIOo9s++jAFNh6LZdd2ZSxaIr1jUaQkU7y1ivQ1EIlHZK6b3zfrR9UQSwndMJpg4W1gmdW2r8c4kVy1OdJHTUaDtlWegYpM+LpsO/tb6YprvniTujSdQxwTatIkCv5Y5HLC+2Q42qceuMfTbbK8ubdeaiolEFp3sP2hbcsdBddqHl594PnwkdV9w2yHN5Ta1LtndFnU6uUNf/gVi5uLO4+lywjnTZFdu99oOaPy1b1gfbA2fW+RypOHbriPu6MH325a7TUPtQ7Xv0TQa0uxitoZMKmj/eH58LdeKGQrFXqXJc0Pyrc0gdkiyrlJTY+MVnjM4JdZDojD0QP87yWrqUjA5JdYKx7Wp9a1tU21HtMv5NsV9eG9P2rGXPdFxnkGHsqVRKzF9zzTUYP348XnjhBYwbNw59+vRBy5YtEQqF8Ouvv2LcuHH49ddfUb9+fVxzzTVVnWejEqixyQ4biBlB7JDpQY5EAqwNAGlpmXGzKCouaFhxk5zMzNgGRGo4abixdvDqhVXDVw0t/VFHABAb9DlDkp8fPDsBxAxLNcDVcGBZMG9AvIdbZ0R++umnhEKeTJr0bpnfZ2ZmyixsFoCYWNJlA1p3eo80CFheHJg5A5CXFxMtHDh1MObgzHZQVAS0anUQLr/8fkQiwLvvLkfdurVw1VXHY+nSHwAALVq0Rtu2h2DKlA/w3HN3ICurNo466k/YsGE1AOD66/+Fp576R5n3DQCDBl2NN974KWr4xhwrBdFjtm8vjM6ac4CmcUbjgPfBsmAYpC4x4YaDahSq00eNdHUIsQ1Q2LB+UlJiBhrzT+eKtmGN5HDFrBqFbJc6+8H6ZJvXOmLd0mnD9s/0VCSxPQHxokXFnxqZDP1k/tRg04gB9zMtM3UYqkhVg1/DvjXyhG2SbVYNStaHCvugcGhFnQlq9Ac5EPUeXPGozhfmge0RiC39YBpax5qutg9Nn2lqnrRc1WhmufNv3QxP+9dQKCaQKVJoPFM0BNUn71Fn4FzBy2NVbLtlr2XO59M1vvkcaZp6L24daT7YtnU5DL/X5QxAvJjic6/lqWujg+pIn186syiSXGcSED+7q21d27a2EXfZC2dUWf/u/hmuaNfxUYW41rd7X9pOmFdd9uOWAcvBHYPdOtK24QpEIFYvvJbWtbavIOcC61bP1XFZxbq2VwpZilnte/hcMH+6BEVtCS0TXlf349A+Q/sG3iv7Kra3goL4t1JkZcWXJa+hf9Mu4P4w2jfQtmEEB8ckjg185mkHaN65uS/vW6O+GDHCNs0y4hgVicSWUqrjUJ8x18GnzsSg541l4LZR4rZRHQ/4f6Lwei3PoOtWN9rvu58D8W2SZesesyPYsoSaQ6XE/N57741XX30Vt9xyCxYvXowXXngBnJ3nO+ezs7Px6KOPYu+996663Bo7DGdzOWNHw1nDZyMRIDd3c+D5S5Z8gS1b1qBxY79e2ckwHYrLunVjwofGFAcrDoxqIDIt9SQrPJYzjjyGRhzT42DMwVBnyIBY51dQEAtDDwrNpCGrhrQ/+JTgkkv2R58+V+Cqq+7GypVLceWV3cot96lT3y/ze8/z4mYMcnNj0QNqEHHGXdf6sd5UXPhpxpwSLLtwOP7tBToDTZHIV+7RIeAvOdgLngdcddUD+Mc/zkJKSioef3wU6tdvhaZN78XIkU/j8cdvxLp1a+F5HtLTM3H66ZdHxfzBB3fD/PkzAu9969aNmDBhJI477hzZ9dvDli2xJQtbtuQgIyMmyt01y6xbFR80GGj0sI656aOey1BF13ghrBcaMRoFwUFT1yvqzCD/Z9SAihQ1NDIzYzvvs/50LSWvAcSvP2fbYH0FGc98TnUmn3lzHXtAvGHMc+iYYx+hs6puGKiKSzWMVVjonhlM2xXlvLY6FtRg19lJ5ludYKwDdwZO90ng861hqe5stqZHVFypMGPdaNSFrm9Vx5HOsOpzzrLjdYDYsa6Ach2WatSpqNQ+Xtcuu8Jf618jODRagc4y18GoBjzTZ340moVlxXJ3z2OdMu/Mt3uMtmNGUWjUQ5Bzx90TQNuN62hTB5Ar5hjFwM/c9NUx5s7EuoLZ82Jlrct2tOzce9L6d4Ul/1bnofu9il4VSGyjrvNIv1Nbgf9rvrS+dBmBOo6YH3VwsCxZtrrHjjpYNEKE+WMYPfMTtPSI/aiOm1r/+ipB1ybQ51adIrwfXl/bLh17HC+AWGi8jtP87V4bKP2ccNkYxxqmS0c186vtkJSUxPpainbPi9mFQGz/F53J17Jx24iOmbwvNyLAdQYyL/qsaVvWdqqf62RPkFh1yzWoXamTSh2Qu6Nw1X7c7a+AWFtx7eWqQtNmHaiTcXd0gPxeqfRLHNq1a4cPP/wQ06dPx6xZs7Bu3ToAQNOmTXH44Yeje/fuVZZJo+rQgUkN88xMX8ywUz700L54//2/Bqbx8MMH44YbPsa++3Yr1ZGo4cKBQz3b7Gx1drusjkEHZ9fL7hoLajDp+791QOEg6HaSFMpuWKkaUsXFwJNPDkB+fg7ee+8JrF37E776akzCsr700gfw8st3JVUvtWs3iOs0OeugwoMCUQ1/d0ZCIyVcBwfXVufmxs8GaVi4GkFA7HV7kYhfj0cffTzuumso6tWrj+bNWyMvD7jkknuRn78dY8a8hDfeGAQAaNZsX3heGM899wVef/0hnHvuzbjhhhMT3v9TT12JJUtmYeDAh/HBBy/gpZfuiPs+J2cbWrcuvcwgFALGjn0Kkya9hcGDP0CzZk3iZj1UdNM45D2pMau7FQPxoYV0nGRm+kYO0wLiBZvOdrjrfLXtu2KVYpYOFBq3uucBr6WbaukeEmyvOoPtvrpOhWWQgU7DzXWo6WwpjW/d5E+dGto+FRqNfJ61bJi2GgruLD/z6Yp4XpcGstaZrqtVY5Kiiddlf+A6OjSfGmavBi1/648rNt3y12u6M8oqdtgeGZLqGsTaj7O96wyuClOmR6efGvgsR91lXuuVyzXcvKuQCofjQ8r5OduKilfd50LLQPOobZltg9fmuMLP2HfRwacRLXw2eC7zpQ4AFfecdVRRoYJNQ81ZzxRC6qzQ9uzux6D3zb95vgpbpqeRQEFtT9ubznSz3bqv6mI74TVdp6R7Dfdv9j0qrlXYsdy0vJm+/uYx/Fujj3gvbCf6W51fWuYqAPX51TpU558eo+2W98h+RI9XIa73qgKanwGlnQZMX8UrP2ebcdsLPw9yrGg7Y1rcH0Ad+Frn2p753DM9dcxo3fFavC+N8tN61Vl2tdXYf6nzQftlLQOWT5BDQ+s6SMyzrLV/1fLmdTTibHdBnX1E+z51QGgfq/UDJLajE7UXdwxWJ4ra9lr+/G53dID8Xqm0mCfdu3c34V7DoDGXmRkLE8zK8kUeN3NLS6uLq64agxde6BeYxhNPnIInn9yIkpJY2KbOZLshU+qt5f9cu6wGGxCfBme+gODOSDdE471wEOPaTfVi6qCkxgAFrYoODjZqHM6e/VH0HsoS8sceez769bsGa9aswEcfDS2zPk49dSC6dj2hVHgnZ+BZbhSKNDpZVhSgnAXgzLPO8rL8aHjyNW1Ml4YQnRoU77wGvy8uBnr3PtuZqQjh6quHIDc3F5Mm/RcA0KzZfohEgNatO+DJJz/C2rWb4u554MCHMHRovGAfO/ZFfP/9F1i+fEGpMrrzzj5o3vwAPPDAe2jYcN+omMzMBF577V4AwDvvPIUrrngAtWrFBhkNXWT9U7RwzR7rVtfxqjODxg8NfbYJGg00YOhIKSqKLW/Q6+n6WjX4dKd+nRnKz4/lXw1YdfC44lSXZeTmxsQTv/O82JIL5o+OBD7Dmld+poJIHUG6L4F7DtucGhxBs7B0fnD2nX2FCnN1PLrCQdMJmqFVIzxoZ2T2YWlp/sZXKsxUaObm+v0knUGEbSlRdEJRUSw6hrNi6rAD4tuhtkdG4tAxpcYpZ9eA+OgAtrkgEavlwdcl6kytbgiowp0OBXWOMt8UjNoPa3tk/ahjkSJCHbPqVNCxgs8InU3qiGYeXDHm3oPeuzogeK4+4+5YpA5SV0ypIGbUjJ7PZ1nLn/XP/KlzzTWWdcZU27qbDxWc2pdrf0P0XLfNel6sX+SzpPfDfOneMjreM32WOR2S7v2z7fKaTA+I3bMKUPYJrGd1umqZsC/RPkHrStsP/9Z+2x0vta1r/6fHaFviMYwiIzyHZcYy5liiedZlVOxHdAmaOhDUQetGrMWP0fH9MsuO7UPD5pkXPu/q3NLlYqwbdfyxHIuK/L5U70XTUcehey+sDzqNtN2y/fG3K371edB6UbQv2F3Q/kX7eOZdnVeadxXiJJGTg22e/xPXQaxOsfJw+waj+khazG/evBm5ubnYa6+9sNdee5V57LZt27Bt2zbUqlUL9evX39E8GlWMdqg0NlJSYq8Ao9HVps2R6NPnTqSkpGPMmLtLpZOS4mHRoq/QvPlBCIUaRt9Xz8FZjU0O9pmZsY4DiPduc4aUnTC/ZwekHledlea5NA50psv1vHPA42Chhr56L/W64TCwceN6/PDD5KTL2PNCKCgI4dJL/4Xly7/H/PlfAwB69/4zTj/9Grz44j8wb94XOPfcm3H++XeUWj/JwVJDWynOdYDNy4sZLGps8z5oXFAk8pVt/AyIXYNr6iiKwuHYejxdIqHGFcCBOYxbbnkKBQW5mDr1A2RnHxI9jufdeOPz+OSTV3HOOX9Fo0YtAsstSMiT1auXYuzYF9GuXVcMHXonevY8HQMH/l3KvARZWTFnBTfnokFDOADSUcRnQe9HZ1Ncg4EGvOswYDmqMGE50YDjMSrmWQ9A6dBNNfi0fbD96qzGtm2x1ydRoDI9DUtVUQDEDG62C5290uu7GwKqkauGCK/D8uQzpgYgP1eDTGdY1VjRZ15nyBlJw3zxe93cMhSKf7OFa/zzN/s9pqkzN/xcowLUWaGCiH2ehp3m58fSZVtj+amgoQhQ8cd2wPrJzPSvy8+5VwTzoo4ENfq172Qe2Q/WqlVauLGPYZ+p9+hGFaiTlfl0d6vWvPGZDILtVGeo2eaYB4o9CjGNylDjXfOk9659qopulqs6Btj+9Xnlc8rra1tSAZhIcKvQ4n3pcpmgczViQ+tVnQMqjLR8VcDqvio61mm7Uaccn2ntd3R2mv2g+5xyPNU8M113zT+vzbzqvbuOS+aR1+Y9cfkVy0sjQty+U0Wrlo+2TX0OdLzT2XeWoUaT8Hq6Bp33ocJXl05pW3CdzBS2bHO6LwuvxXtSxxLT0/5Yy4LlyjpSRyjLUDfE03Gcz4mmq6KTjkK2FRWhPEad5yxfvRbLWZcTqnB0+xK3P1E7SlG7aHfFLWsgVk/JovYz/9e/g9DnVcvHtRf4mabvTlDwGHWqGDuXpMR8bm4u+vXrh/z8fLz99tvlivn169fj3HPPRZ06dfDxxx8jkxaIsdvAQUh3y9bwOb/DDaF375uwYcOKQDH/2Wf/xrvv3oW6dZvh/vsXxHnBaQRyQAJiDzpDvtk5qXefM8bq5VdDi+KVhiQHWYpODkjbtvl/01ClmC0pKf16K16DZVFYGL/jfmoqMGjQafj114Vllul5592MKVPew+rVS3H44X2QkuKnc8ABHaNi/uKL70ft2vVx222vY9GiL9ClywnRfHOWjIYmy46dIcP/a9eOFyksJw3R5n2yfPiaLoaJU5DogK6GQ1ZW7Lv8/Njgq8abzsD5Bkwq7rprGBYtmo6DDuqMcNi//1q1/B3/+/U7F336nPs/g68ATZvug3Xrfo2m0bv3nzBhwn/LLOMFC6Zj7twvsGHDKowe/Ry++WZC9Lv09AxMmjQK8+dPx+WXP4jU1DRMnToOWVm1MWLEs+jS5Ticc85fo7MFOrPA9sm2wLKkoaj1QmONRq0afKwLd7ZGy0kdInl5se9dw0ZnOyKR2Jp7FX8U7zSeXEeUaxhrHbKd6NpStn22D7ZNtg2WGcuEfQXbrz6DvLY768C+x01TnR9sO0AsTTrs+ExGIrF2reXEqAjWq6ap74dmWbgCUctL24Q6DNgW2F/Qkcn7Yf9H45ZlToOV5UEhx2NYbjyfzjWdZdcZbl6rTp2YkawGWV6ef286w8X9MtjvsrzYvtR5pVEjbNMsHzqLdCZHNx1TwchzdO8D7feDHKhMQ8cQrqHW9sw61/tnvngNOsx0PTrTVCe0hvvzedbfapQWF8e/1lFFCqPO2EcwvypKXMeZinMVwDyXdabjpqarx2lZappaF+5suj4rxB2jWUZqvKuxz/ZJVEDquKEzjLrhJ9OgM0id3Iy0Y3nqLLOKCI7tXJKkThw+V2qfMH0dd9Xpx/vQewRi47XuM6LOUw0tdyNLtI70M434YdmwrBhBBcT6bDpu2a+os9StM70W/1YBptdmO6AdFOT04edqd+gzrY5XPZ95oxNW3ybj9gN8XsoK504k5N065HfaVqqbRHlJJNyTcUSoY4no/66od20UrS91arnOFHWEat+ifYrWo4Xk71ySEvOjR4/Gb7/9hltvvRUHHHBAuccfcMABuPbaazF48GB88MEHOPfc0q84M6oH9VJzEzw1lGiEcADwPcHBPcu7794FANi6dW2c0aUhVDTemLaGDavhGTRzod58btYClDZqIxE/pIuf6SyazkCrKAPiZxNYDjork5XFzWAKyxXyANCiRTsMGTIBK1YsQOvWPaL5yc3NjR5Tu3b9/5VRXRx6aN+ooamzYllZMSFFwzAUijkmKHJ4P5wJU8MCiF//yVl73ndxcWwQ1d1rgdhOv/xOO2E1Qt0ZCt9YSkGHDkdFPy8oiDeqODCnpWXgjTdm4txzO2Hz5t/QqFFzHHTQYaXEfNOm+2Dr1k3Iz98OAPjxx1lx369YsTj6908/fYdRo55BJFKCDz54CUcd1QdffhlbCjF9+gScfvplSE3NijNu2B5oZOoGgzRSKFz1dYB0AOn6QSBWZjQOaURu2+Z/RgNJBSLbHcOxKc6YLxpNRMWcCmzmJS8vZhDo7IhGG9BZw30tdOZZHXKuyCgs9PPnzpKxDNTYpnBnu9MwUA0lZXmxLbKM1AhX8cTnIxKJtS8VZ3x2NCwUiHfm6ayyrpfnsa5RxP6I+eJ37mwRz1VDG4iPbqFhr2/U4HPO8tRXvClse7w3OvX0lYs6a0oBy7bI9sMy5zVVXGob1/6Z7Yxv+tBn3+3DdbaPUUVsS7pkpbjYr293NpjPhD5fLGPeH89h2+UzyXbPe2UZ8VnQdNX5xD6bzw6fd55PZ54rlnUGVB08KpZ05pT3xufEffaYb+aP7Vu/5/OobT/IeebOrmp9sq2qg1HbmbZvnqMOYkXbjuZJnZQqBll2TNv9W/s2pqPn6DOoQl8dHiwPV8yo04F5cduYOgLUOaViWB2rupxBnaBqG2mUFYU5+x9OJjCfbntiuavNopGPWn88hs8rr5+XF7Mj9JnhNXXZD+uA7dPtB1kPOqnACQS1KbjnhutMUPtCbU7tv9xINh1L2K61TTN/2g70O9axOo9dkRnkgN9ZlCfMXcpzRKhzim2CZc571mdNz1GHitpFWk9uWRLXRtQx19g1JBX8MHHiRGRlZeHPf/5z0gmff/75yMrKwvjx4yudOaPqUYMiJcUXdAzt5Dovdobs7OrU2afcdHmsdrA0nlRQ6+CRlxcLQdUQWLdT4cCia0h1Lak7s6NGCM9zvYZqOLgzDL7xl4vZsz/GTz/Nxpw5E5Mq2yZN2qJevfo44IAjUVQUipZBmlg9QTNdzI/OGgF+XWRk+OfQGFZxpcYrZ4vVWaEzeOyMKRqysuINM0Lhzxn1tDT/b9f407Td0DgaCRzk+XlRUeyd96EQUKdOBh5++A0cdthxuOeeETjooM7RfAwceC/OPvtqPPbYOIwatRh/+MN52GuvBkhN9eMXDz74SLzyyhycddZfoud8++3niERK/leeJXFCnmzevBWeB/z221ZMnz4ZBQXF8LxY9IHnARs3rsOaNSujYYasR53xUMOCwox19+OP32LDho3ReuV3+flATo7veFJhTqNFdwvWNzaw7Pg86SxMXl7MKKWYV4GjMxQ8nyJKX2mkRhHrLz8//vnNyYntdMwImeLi2Mwur8v2xvLSXZaZ14KCWDQBjT/2Bcwny1rzzrbNUHa2QxVgDCHnNXgMy1Tzq9dheCiFqYp5d2ZC+xR3fTkNaG0nrvinKNSy12dYRVF6emwWkJE1rlGn/R7bYTgcm8nWnatdscdyo7jViAP2M8yX9i98LljvrHNGiuTm+vndvj3WjjSChGKH96Ppst2XlPjna7vQdsy3ktCpo22VbTM31/8pKPDTYjSMO0unzwyfARVo/F/7AT2XP7wvdTarsFZRzDLUNsNydmft6ezR792xUh3ydDS6yzB4Xe1H6HxSh43eJz93+wvmn/fKe9H8q8hmH6DPs9oEbAu5uaWX27BN8B5Yp6x7/rD/YZtkG9F70Xph+ipCWZ7ax7LOeA/sA9mf8Fw+O9u3xzY11U1sta/Kz49vo9oO1T7g56w37b9ZlnzecnPjRZuWC8uL98JyTUmJ5Zn3y3zrkhydqGGfynvk88U+VMtW3x6k/TnrwnX48nh1Guj3+nxpukQdXlp27vdB36kTLeh7F7XZqgN1/rnPt07wuP0ZEGsD7PPcCS23T1b7QNum+yyxn9bzK+q4MCpGUjPzP/74Iw499FBkaIxbOWRkZODQQw/Fjz/+WOnMGTsHGvdcI82BVmfQOfgAvhjt0+fv+OijIQnTdI1dNVppwBcW+mKOhrN6et3XQWmIFgce9WzrmlYNd+bfFDX02OuMjHY07MiY70WLpmHYsGuxbt3SCpfrPvu0jabNMigqAk499Wb89NNcnHDCZdFNBjkg0pmihioN/aysWBp+PcSH4nKw07XyNECA+FA8hkCrk0bvW+uORidfYUexSqNe606NIoa6sj3wb86GcraY6RYVAR07dsODD773v/YYexVd7dp1cc4510cH+1tvfQ4pKcCKFb/iyy9H4dhj+2G//Vrh2msfQuvWB+P//u+6pOroL385Dnfe+SKeeuofWL58IVq3Pgg33TQIXbsei8WLf8Cbbz6BSZPeRWZmLYwevRihUBZCoa2YNu1rdOv2B2RmpscZVWrYFhUBX3wxDnfe+We0atUOQ4d+htTUTEQiMYOPhp6KQp2V1bBchvjrAKwz63xOwmF/6YXb1jnjoaHvWh+sZzpkmK6KDhpx2lYYccH9Ldje2D65iZzOyLKth0KxpTQqntR4Zvqc/aXBqMseVIzxHt3rcPaQzxZfPajtkn0Pr82yoxHJvlKfa41qYT2p4GH6KjRVvKmTMciw0qVP7iy01oPOKqkDxn0bh/Z1GjnhzrJopAKNf80v74H3qKHE6szQPSAoAIIch64DlW1PHRMaQaHtkeONpsm6Yx+lAlDfYU/nJO+TUBSwP9MN7VzRSfHGsme7c48tKYm1Y465KlqDRL87c6Zr/NXgpo9Yo1VycuKfY/Y9GjHHZ57PMp03FMF8ZlhvzBvr3BWYWldsb3QWqyiId5bH/md++Z3WcSRSehxkfbOMdDaXkU10kGoZMtKQUSGMgNO+Rx2jLFvtk1QgM71IJDa+0qFC20PbLO9ZHVusT910luMsRbRGXrHuNHpMo+hKSoC99oove/Zl7Bf4LHBcp9PLHbMjkdgyHToG1UnP54dtTfs3CnJ1OLEv0D5JbUF1bmn7p+xQJ4JGJWnEijuLrv2N4orUsmad2fa13bvfM82g8xORKG8Vhdd0HQrsg/id9t36DKktlwgdc13nXpDwd20/XquscjR2jKSKdcuWLWjcuHGFE2/cuDE2b95c4fOMXQOFoc4McbBTY6C4GOja9fwy03rllSuwfv2vpWZYgJihwJnJLVtig25hof+/DpBAfASBim4V4mrIqhGk3lymB8QGH6aTlwcUFnpYuHAatmzZiqIiYNCgUysl5M855ybUqVMn2nGpc6NRo5a4554J6NHjgujSBpY1y50GqIZyU6TxtYGpqbEwNhrSTI/lriGAqan++SxHHkvxzzDQ2rVjAzUQb8SxjPUz3ThIZ9X0f60TpqMDnc7uxwRhVvT7xo1bxhnOzEPz5vvggguuR6tWByA11S+bo4/ujXDYz+hZZ10bTePf//4Bl1zyCB5/fA5atGgLANi0aR1uueVMLF/uL5tYtmwBrr/+DNx44wW4/PKemDTpXQBAfn4ubr/9AsyePQ29emXj1lvPx7vvvoQtWzbj6afvwezZ0//XjooxZsyH+PLLSdi8eRueeeafAIDlyxfitdcejZv9cstOZ4fZLnXA0zXMFCAsOzpoMjPjZ4H57Lpink4w9cQzvF6dZXp9NdLUyGaYtZ6js2G8PxrT3Cm/uDi2HEbD7fns05HBciks9Jcm6AZ3vBZnxdh+OIOrBjD7Nm66yb6A5a1LC5j/3NxYH7Vtm/87JycWjaB54Owgv1MxqjMd/F8jHTjbzN80nFmeWq4qBthHsi2pM841ttgPqXjXfgKINygLC/17zc2N/9ydaWUZel4szyrkXQcs8842yWeCbY/3y/ZA0cK/2R4phtiedQZK+xbduEudnGyTOgZQ6LL9qcBi5Bh/5+b6n3NGmJ+zz2M7VxHN+qLTQA1/INb22M51NpLHMD8aucL8s190xz11TlGYaxQEy4u/9TudfdY+Wpe5Kbw/be98nnTG241YcR0uQU4adQJp6DodPLopJ9s1y591wP6Q/Q/bLGestX/TPWSYb42mcsuezzXbvkYMMh/sk/Q+2O44dms5MpqFbY7fsWx5Dc6eM91w2J8s4TOhS7z02eKzGuQo1j0DmK7mgeXISCr+1re3FBTE+kV+zr6Hz4COdbwndX5qH8v/+WwwPXemn/lzBXWQTaoOefezIHiNso5JFrVp1AlaGXhv6ozn53rfTJ9OJrZBjXBifet96n3zuVWnI+tPRXqQ07Ysh0FQ/RgVJ6mZ+dq1ayOHLt8KkJOTg1rsXYzdBj6E7NzpqaaHWcNLaQDXqtWqzDS/+WYUcnI24Lrr3kMoFL8+VAUbO+twODZA8n8V6TobxI5IvdwcdNTA0U5BBy16rpkOO7NQCFiyZDoeffRU1K/fHNde+0aFy/Luu0dh7dqfceqpl0Svreu/NNqAf6tIY9lw8NTOmN+7Bqkauixn/s8ZEd4zjRt+D8QPHjSoea6KBBpWDLVPT4+VNZdlqKGta3ZZ3jqIqAHJNsd75b0MHz4DP/74LXr08F/VRwMZiL9vdR40atQMDzzwX+TlhXDood3w+efvoEmTlmjcuDlOOeVyRCLAlVc+jgkT3sCXX46A53moVWsv3HLLcEyf/iE+/XQYZsz4uFTdzpkzGXPmTI7+/8kn72Dq1I8we/YXmDt3OoYO/Rjvv/8aBg26Je68WrXqIDf3/9k77yg5iquL35nZvKtVDigiIYJERoCIQuScMSJnMAaMAQMGDCaYYDAZY4ONsQkmZ4uMAJFzkhAgQKAAKMdN2jDz/TH8pm/X9kpCxjb+2Dpnz+7OdFdXvXr16t37XlXX6I47rtFmm+2ilVZaJyb/vIPaoquu+qWmT/9aZ5/9V1VWdiiMrcsK3UBeSU4FUagwbZjXiTlp5xEfP7SNthEt9gPuHGgxvqRkOiB2IF1aGt9ak8vlAUtDQ7TVgtRO5jUOa6dO0TwnAkUWkRQ5/hUVcSePLBIOjoOocgeQOolwuTOPY43+EuHiPmyGAwWXmUeWmP8tLdErQPnOHSacX38dF/OLeUw2gpNkREUADABRn+MU5hZgDDAT2nn6T1vd/tBP2ubywInmnrZSsKVofXECmR9Ap7cd/ce+0Neysjh5JMVliH2lrdgO7q+oiOyPR/aQH5+FRKRnWqC7gB3mKOPp56C43qJPTugyBthG7nNCxOco6fNcxzz0VHyu5RoyB5CDb7uiTZ6aj147meNZO0RGnbijftKz+Zvn0C502TN8crkog8uzP7BvrmNOkNA2X3Nd53gW2z+wU3wH4ekZUzyfLSLYUScoPNLJvHW/xec5tg2yn3EtK4ueT/TfdbWiIjpTx+vFzmPXeQ2p6xJzFNmG4888Z9sJc8pJCUgBv8/PAnF7Rn2QfET78cF8S4fbOu8XvhNnaGBDPfLvxDRyC8Gr2w/GZVkjwoxnWI/PEXTnuxYnNfjff3+X4qAaO+UkMDJxffLsSSftQsKX/yEBff0nwwO9kKLxQ97pdLQecUAiNiCUh/vA7WX5yzKB+T59+mj8+PHfufLx48erT58+3/m+9vLvLUwqnCgOm2IS4vS7U9fSIp155tuaP3+O/vSn7RLrnTXrs8JCSuQNZxCHW4oMIp/h0OKQln8boHVHhcJigoEh0idFxsSdb3ce3EHD+fnsszckSfPnf6Nbbz2p8Jxu3fpr9uwphf9XXnljffrpq636vOqqI7TOOiMLRhED6+DKo1pusDzygkOF805KMOAaY8ehfKTnMzY4YVzjZAH9p41SZGRpV2VltM3CyRW2RUAOoA/Uh1EHdIfOIc9mzMN9ox6hk6R+/QZrxRUHK5uNQIcDChwFItU4dMOGbV2I0tx11zuSir7NvMh/P3Topho0aFOVlVXqlVfu09ln36pBgzbVWmttqubmGo0Zc4ckqWfPgZox4wvTg76aPXuaJOmTT94tfD5p0seqq8tqzJjW+/JPPfUaPf/8w3rhhUd0zjkH6U9/elolJeVqbEypU6eOkqSzzz5EL730uCTpiSf+rkMO+XnBSQcMs/iSTUE0goUV+XlEApk7UHPdw6lxEOHp9uguxA766iSUR5sd/DigJcrlJ9y70yvFo/Tcj7ONQ1paGhEQ2AzaWlMTOf8+7/zQRX8rBcALXSMKBrgj28Gjl0TcmBPYNRxaHBVAo0ebGSMc2ZqaCJg4GPJ5xW8ItebmKCuHeY58/R7mG+SEkzHoA/LxQwZpIxE0z8QA3Ljzx1j7OSfYVdYP9CXMCqAurvWDufgefU+K8GNX3ClnPUA3XZcA19hhJ6mQOVueaCP2N5QrOuRvQ0AnnLAE6DE2rDfILQQifnaCO73IyG2oZzUgY9eV0Db4OLhNQKa+LvlaBZgPbYnLkH46CGNuugx8HUCuvq/cCSL0nXnvYA1992w81lsnqliLfMzZ5kB7IFuwS5xLAxmIrJnfRICRHb4EugDJRPsBMcxHJzE8+wkyw+enk1z8dqLEgxX4aU44uqx9HF3v0C0nDpxMImvPtylARLhvw71Ed5ENtho/kDngOuN6yD3h9y4/31bpuuRBD2yEy4r6PWqcFI1vC0z7OuC6zHh5Sfre1wHm5JKet7TCOkP/vF6XH364FB8Xf7bL3z9zgt7JACnus3vwTWpNljhh5MEeJzhdDk6OtZfvXpaJq9p44401Z84cPfLII8tc8cMPP6zZs2dr0003Xe7GtZd/X3EghWEm7ZbTzAH7TOrOnQdqxRXXb7PO4uLywrVulN1g19dHaVgsPnzv0SuAPWlxUrRAs5DibDqBAMPuTD71SZEDRcp6ZWV1of1Tpowr/H3kkdfG+rbllocl9rmlJR0DKL6ge9ojz/aII30hbRlCA5m4Y1paKnXsGKXIY0A95dDBW75vEQijzzhrlZURUIc5r6iIFkDqJGIPaHMQL0WOZHl5dFCXG21AQW1t/idcHHGUcAgcvLszQV+JApBqTf9x6vM6W66iouJCn3leNisdfvjluvXWz7XmmiMKn+2++89UVlal7bY7Vldd9Xbhefvu+2v94Q8faNSoXxY+S6fTSqVSqq1dqK226qY33ng+1sZ11tlcW2yxh37+86vVr9/KmjXra/3sZ9tqjz0Ga489BmrnnQdo5MguBSAvSQ0NNd8u0ov14ouj9be/XahFi2Yrk5GmTv1Ajz12uxYurCnMgcWLazVq1Fa69trzCmOFvNHrsrJojEtLoygzY8rYoBMOVqQIsAL8qY+63ZnBoQQYoyde3KEDsEO2MO6etonTuGhRlN4cppRiI3AwHOjh9GAnALEO/J3cADQk7aFFnx2M+lziudRLG5gPbAeprs7PEz/7AntbWpofK38OjhXz2vd3e8qtlO/XokXxgwnpc0ODNGdOdIChEys44y0tUZaTgwJ3wt2+euRTioN01yva72+HcPDrYI2xXLQobufRE9+G4CnyPDuTiW9D8O0ZTjKFfWCNAlC4g48OtLRE6fVeSkryY+pRa9ZNt/HI0Z+Bzvtc8fXTr0+KaPOdk8h+vxO5HjX1iCefEUll7jjJ5OnOXodH+phP9Ju56iUknPyMDw6rXLAgvo3Bt6IwZtgY1oCGBmnhwii1m+f6WQBNTdEWmjAzBFK4ri6aA9SNPlGPr7fs5XY5e0aBzxkfI88M8Ogoesh8ccLQt3+gT/gOIWnkRB/zUIr8PF9H/bA6xrG8PJKRH+5KHzya7kRf6HO5njPG6IyDbfQiKd3btxmhK05quH1y2TrZQ/FnMV5eF21wu+bX+zN9Pnh/k+7Dnvr3/J9ECLQF9JNAM2Pm4N7XWmQDQe5ReuoCB7AeOQnBM7z/DuRDmdNODyaExAq2yOt0ubSX5SvLFJk/+OCDdfvtt+v888/XCiusoA022GCJ17/xxhs6//zzVVpa+p1OwG8v/5niQKylJUqfluJsv0caWAQyGWnXXc/XP/95bkK9xXr//Se18srrqaSke6FuBxE8I9yv5e1yZwNjAVPvC4AbCxYmKTKSLIy+byxkM5ubGxNlVFXVJfb/sGF7a8cdJ2jGjC/0zjsRqeULRn19PCWQxYjFmkJk3WWNA4xc6LcUX2yk1lEjHOXy8uiZsPBkXkjR/mp3YHF6PQLGfZ4ix7jB2vqC4mCafvLbU/F8zOmfZ4hwXy4XkUksPHwfRiFwIj2aQvqiH/CIU5DXwUzMMenbd3X99a+TlculVFQk9e+/uqZM+VDrr7+bJKlDh+6Fvh511O/0xRfjNWbMP8TJ+V5OOOESZbMpVVd30nnn3a1TTtlWs2Z9Xfi+tnZRq3u++WaKLrroZI0Z85BqahZIkhYtmquyskrdeef1kqQ5c6br0ENPVWOj9M9//kMTJrynCRPe0xNPPKKRI/fQkUeeqqKiioKMGhubVFc3W507r1AAG83NTaqpWayysqqCo0vknLFiQUcHKisj2eIkAOjRD0/tdYeotDR6Fzmpqug5Okr0vLY20mlsEfXghPI56fXMfWwMuotjAjgELOOcApJSqagffj/95DPkJ0UgHIebCBQykyJ9J0vGbWhxcbS/HnlDgLkMnaDxSBXjhpzJqEGuRLaRJXruURqe46//S5pPAIHS0uhgNWSOjJwU8kMenSThmRCROPdOsjlAQYb+WjjmMbYCEIJu8pk798g8yY7W18fPDkkighln7mMdQjd9XaJeBxGMHeue23bkFN7DKe6e4UH97qTjnJNhQZ2LF8ftIPWSQcE6mUpF88hBJ7pO3dh+j8yh++ixE2M8O5yfvhaiw8iHUlMT2QayDLjPbQBrGHpBX9Eb2sOYOyhE/pBIzEEpvs2EzEQfI89m4Nr58/OfV1XFfalUKr4FENvDZ55Vl39mVkVF6YIeeeYH8spnPmTV0tL87VwoKVwvRZk23l6XpxQnIJAr9stBK3qGHUqno6xJJ76QI+PF/EHfkAU2Fh/J5z06ABFZWpq3a8xDvy7MWPFxdqLB5dIWOHZw6pFs/MYlFdfdEPy7zaAdrB9Lqjckv7yEUW+eRVsZX9Ysn3/eT7c37o+jo1JkT52g83lFPciNPkrR2LMGA/K5jjWcbZuhDWgvy1+WCcz36tVLZ555ps477zwdeuih2nHHHbXLLrto6NCh6tIlD3rmzp2rCRMmaPTo0Xr88ceVzWZ17rnnqlevXv/WDrSX71bcCWOiurFhImJAcWhYXFIpaaONjtEHHzysyZPfidX9zTcf6cYb8wflDRo0XMcdd5N69+4TY6xxDjzixWLhjjiLKQYH40I7c7nWqd0e0fI0O4wZC5Pk0eGGVjJae+3tNWDAUK277k6aO3eaTjjhFrW0pLXbbucqnZauuGJnTZyYT7kPDRILKM/1FHkcASdGPIWMKB5GGpngVLP4exQQp8D3YyMj33uJLFhwAcv+uRMD/ryQDHEnlQWQ70kd9jZVVeUdNepBTg5WcILcKYBIcEcSXfJDrpxwkCL5Q0g5wRKRONFY5PUrVdhmcOmlz2jRonmqru6lkhJp88130dNP36JNNtldu+9+lFIp6aSTLteECS/qH/+4Uptttq1uu+1abbLJzurde2gBkHbvvqIuuug+Pf74Ddpyy3218sob6NFHb9WECa+pU6fuGj36b5KkJ564u9D2qqpq1dQs1IMP/j2mk088cb/23vsYlZdXa86cGYXPv/76S91xx9VauHC+jjrqXD366E167rlHNHfuTM2fP0sXXXSnunXrpMcfv1vPPPOAmpqaddNNb6p3757KZnP6+OOP1KtXH7W0ZFVS0vlbYNCkF154Vqusso66d+8Z2+bizgJjgcPJd4ARHAzSh4n6OBiEwOrYMf4KqHQ62tdM/R5d9DctsCcd4FBenv8OB5u9oO5AoBOeUuiRD/6WouvISPAoi/eBPan0G/CSlPqMLHmOp+pCEHAP8qL+4uJoj6xHvvmOZ3BPfX00F3gmAAHCy51gZIZdpa7a2ni0j3nrKc7c70CE9QN7HkasWAcgEHyvNvbRo2ohIETmboOdJHUZe+aArxfI2EEn40TaNvVgeyAYKiuj67DrnvJbWho5tTyLOeSv9eLzqqo4mHdSi988x1+zJ0X1OkDyNd6J22w2Asce8UU3GSPmikdF+XGgTf/cLjhhA6EHqGVe+NzkWQBH2uXgl3ZhV2g3J6+7LoZRcV9bnbwDhISHqrneOZjPZMguzCmXSxWAaF2dNGnSOE2dOlEbbbS3mpulceNe1iOPXK5x48YqlUqptLRSZWXlKi0tV1FRRosXN2jOnOnabrt9dcopf9DcudN12mm7a7XV1tOeex6k44/fQ5K0997H64knblNt7UJJ0vrrj9Rll92u0tKKmE83e/ZX+vOff6sddzxIw4dvVpCDB0aYP6lUtLUIXXLb52QZPiE+CToYEnkQBvyPvXCfxjO40As/E8WDOU7WOJHPeuNEqhOCfq1vdQjBvROUIQHgcyu8x+fI0srygFbaEAJobz/zB/vqQZjQV0ul4gdGSvGMDupzMjskUFhzmCfMByeAnBxwktj9Lc9w8s/by/KXVC7XFm/Vutx777268MILtXjxYqXa0MxcLqeSkhKdddZZ2m+//b63hv4ny7x58/7bTVim0rlz5+/UVmf+iAKQusYpxosX51PWOPiF1GhPBywuzjvaJ57YJflBVq6//mN16NCjYGSIBrAXFsfKo06ZTJTyjTGn/ThMbrhyueg0YAfRtNejUnkDk1M2m9ffhx++XPfff3GszUceeZ023/zAmIOH81FcLP3ud7tq4sSXJUm33jpXRUXxPZ4smrlc3jFzYCtFTmZVVQTIfQ8rhs0Xw7KyKArkRhQnAycJo87/tB0HJDTcpCVWVkZ1E93zfW9VVXHniywIdwI7dIinQCKz7t07a/r0eYVr2FZAJMYzODyyxyIMeAE00HYWHEALzgZpgul0PnIC8QMY8VdTpdP56yERysryuuRkEAQToIgFq0uXCHA0N7eotjZTcEJraqL7OnSI5Bwtfjn97ncn6ZlnblNFRQeNGLGbttxyX6266rrad99V1NjYoEymSMcc8xvdccc1WrBgjtZaaxMdf/xF+ulPt0yca2ussYnGj39lqXPylFP+pHfeeVFSs55//h5JUnV1Z91004v64ouP9ac/naUvv5yozTffSb///e1qaYlOzvfTuYmioM9SdPo3oKyqKoqCekTSMyU4I5XtGPyPnJkDgIfq6sgx8QPvAPCRox3pAq+EBJDX1kaAGWewV6/OmjZtnoqK8tez5xqHl/kD+KRkMvG3QXgaLc+nPwAZbAL6D/AB+AKofdtDuC9YysvK9whL8eihp2MDfgA8ZOxwWndTU/6zioqo3TiBixZF2RNupznDg+gNhTcIOLGB/QT0MQfdrrW0REQF54IgTwfr2DrP+HGASTaGk5mANgegZCh4BpXvCw0zwlhDMhlp7tyI5Akjz27vKysjm8p64EQ0Y8R4oWtlZXG7V1ws9ezZWQsWzCuQFwBdyJcFC+KRsUWLIhtJVBVd9MyMmpr83xUV+TYCzhzok/EESUMauhNFkLnIyyOnTU35+hnPuro4QcFBgvQNUMg6wfqCbOfOzf/u1Cnfb28D58Z4tgXzrLQ0ykBwsF5bm9OcOV+rV68+hXUOnfSDAXO5nBYsmK2XXx6tf/zjHK244ppqaWlUt259tf32P9MFF+wkSdpnn19rwoSXNGHCWC1r2XvvYzVt2iS9/vpT387v/GGqSyrHH3+hdtzxp6qszCibzWqXXVZUfX2NVlppDd122wsaP/5DvfTSGO200zFKp9MqKmpSJlNZsH2lpXmfL+9T5VRenp9o33wzT2PHPqCRI/dUdXWXGODigFM/BLSxMS/Xzp2lVKqzZs6cF8s8Yo0l4yudzuunlB+rhQuj+dKtWwQEy8sj+4rdYU1gnXcS2DMAAZL4Eeg+vhFjD+HgIBg74TrskXdsgftU2HEK9dNH2uTF7bZ/hr6y9vlnnv3iWz9CkpOxYt7jz7nv7O11v8/XJWybE+HMCw+QYGch7T0Dw8eLZyEXD8b42vrvLN8VP/03S+fOnZd6zTJF5ik/+clPNGLECN12220aO3asPvvsM8EFpFIpDR48WFtssYUOOuig9oj8D7CEDpd/jiFgohNdILITRpNyOWnLLX+u5567bonPvOaaQ3XBBY/HotTOxHm6OYsvDh3Pc2YX4+AMqhsyN5YYeQxWS8tiHXHEQGWzzbrqqgnq1KmbWlrimyCHDNlCG2xwYKs0cXfiZEdN4LB6KqQvJhgvT83FyHo0nev5DuKjtjaKPhIFYzHD4cWhkuKHzPHMpIg/wNkXI9rAQoexllpHvqmPexkDgKunikJG0C8WG3+1HoxxKhVFZPgf586BED+kynJQDmNCHzwCh5PpixyLDww/jrx/J8VTfbmeg/jy+pGJpXCWl0f7s2tqIiDFT3NzSscee5X22OPn6t+/j8rKygtnQ2y99X564YX7ddZZf9bw4dtr9dU31+mn76YPPnilTSAvqU0gX1paoc0330VvvPGMFi6cq+uv/6UWL66LXbNw4Tztu+8asc/mzJmhxx57WIMHr6nBgwfFIiDoQSol1dY2qqKipLDQe1SuqSmrDz54VQMGrK7Kyk4xksnBhAMK6mHe4Yw0NUW64WQW1+NUME/JBIE84DN3PhyoU9Bdzwbg4DwnrGg7BAHOIX0H5HjGiztj1JEU2WGOS9H1yINn0jcHsp4WiY5K8fnimVLMEer2FFOXKbbDAbZH55nPbo/dRjPmtJ/vOOwU2dAeHHCcaXSPseF+d+YhBvyNLNgCCIcw8gjhGDr2TjhA6ngGGXUwjtThdpdneUTTiQvqcNLEI20479hh/m5ujsgBnGT0zq8DbPsJ6jjmEAQtLVEmC3Oa+QXJ7w44883XavQL+8ocoj+0h/szmfjBcL7HmzZ49ggEAPfhm/ia7IQfNpaxKy+P9tN7ZNBPWG9pke6//xI98MDlOvbYP2rEiP1iad65nLRgwXy9/PK9Gjv2Nk2ePL6gQxMnvi5J+vzzd/Xee2MKn99330Xfjm+xtt76YI0cuZcqKjoona5SS0u9vvpqgiZMeEWdO3dXly6ddd11Z+n++2+I2YEkIP+zn12i9957Sa+++qgk6frrz9YzzzykM874o95++1nV1+fv+eabyWpqyunCC4/UlCkTdeut50mSunRZQRdd9KR69epbIAwbGqSvvpqo3/52N40a9Qvtu+/PdN11x+idd8bo9dcf0m9/+8/CwX6egePjy5ysr4/IFPcbmRPMB58znuHnwRDmCfMzlYoCPZ5J5L6M+1cOtB0Me3YQvz0KzX3olRSP1kvxLQJJsc3Qtnvbwuv47YCf67GpLhvfEoAO0w73B/nfbQn1QZb5PIao51lh3zza7jbLI/CeTcT3tBW77vd4Bml7Wf7yncC8JPXs2VOnnnqqTj31VDU1NWnhwoXK5XLq2LGjij0fs738TxQMpTvhgGePwISpPtmstMMOZywVzLPQcT8OIAw5zpo7537gFFE+jIK/z9QdZ5wYnBEWF3ecr7hifzU15b2WBx64SEcccZUaGxe3arOnZ8JAumNWUlIauzbcDuDEAiBcipwPKR4p98+QL9dWVeU/x/EIU0UBEj6OYeTeSQVS6Sg44LC0OK6ekuZEgUepuIfnQzpg1MlWALDjiHrbcECluNOHbFw/6Bs6CajBsXU98owB9Lljxyizg+ctXhydJQDgdtk4C+9gxwkv5EkE1CP67pA4857PPkmrf//BBfnU1OTvO+20K/XLX16m4uIiNTdLgwevrbPOulMXXLCPGhsbtPbam6hHj956+un7YnrbsWNX5XJZLVwYsc3HH3+Vttpqb3XrVqX99x+mhQvntgLyXjKZIq211kZ6992XNGHC27rggsNVVlapX//6Ju2ww/aFdODFi+s1ceI4TZ8+VRdeeIzOPPMK7bbbYYXxYG688spj+s1vDtHgwevq8svHFOa8jzt6xBzx/eMOIkpL8/MhdPSYa9TJD84B9fjYIXN3/IjY1dW1jtTwDNfL8H9+O8BG/91GoFv8z3xja5GTIpBKrp+03wkij0r63PRoCPpcVBTfbsA8chCOw4d9YWxCe4uT6W8NwAENCRcHUqwtjCuH3HkEh8MBaQvgDxuETSTCx/P8VaThGDj4d8LWHW8/BAoZci3EgK9fToLzrJA4BcDwBgfGDRvoETDah10D3EME+HXYGl8TnWCGdEEmRBxbWqJzBwDm6A51k10lxVOnkQcnvfO/AxA/hdyjeA6AmGO0KcxScbuPLgBCnHhlzNBRvkcXydAgy8WJIF/XH3jgcknSDTccp8ceu15TpnyoPfY4Tfvue6buu+8S/fOf16qpqbW/4CW0rcOG7aijj75Effr0L5xPgv6svvpQ7bjjPoWMmLq6Gv31r/kswfXX30JvvTVW3bv31o03PqtTT91LkyZNkCStscZmGjZsJw0YsKay2Zz++c/r9cknb+nwwzeMPbuoqFQffDBeU6ZMjH0+d+43uvrqo3XeeY+ouLi4MC9vueVMzZ8/Uzfe+Gvts8/P9M47eWLio49e1vz5s1Va2kWZTLqgb57t4OOPnXDSjDEFjCJ/dMGBoGfGsC0Awp6xps2ur2TsuK31+cH1zEefMzwbnUsiWJelUI+DWEpSBD783olbPmPNRc6+Jcf7go2RInuZyeRtjvtbtMFl7MEoxibcduP9chKdccYOMsbMLwfv3k/qwKbwHOQYkgHtZcnlO4N5L8XFxeratev31Zb28l8sOIjuSGEQnB3EQcgDt/KlV6y4M+dR9DAtkQVBikeVMbgeucF4+d4rKbqWvzEcn3/+rsaNe77Qpuefv0WHHXaFHnvsD7G2lpdXFQxakjHLZqV9971IU6eO0047/TzmKBF1xPkCXHAIFosFzi8OkzOrLIIOBkl5dZLCnRBnlamDBc+/87744sVYMA5EygHPfE57nbV20IJTSDsdNEnxg8p8jHO5PND2d9tKkbPgh7QhN190SMPzPuAwsD3E36nO4kLdRUV5tt8dSZxA+sm96BupuSz+3i902hcrd1rpOxFEFmNSg/NyKipEr4uLpTXX3ESXXfaYPvvsPe244wH68sv3C2D+d797XIMGDVGHDh1UUZHViSfuqvfff02StM02hxYA0ddff1HQ8969V9LXX38uSTr//Hv12GN/UVFRiQ4//GzNnz9V7777UuHahoZanXvugZo+/Tx17LiCXn75n3r99WfU0BA5rhdffIoaG1u0666HKfPt6l5SIv3mN4dIkj777F2VlmZVXp4uAJNcTpo/f5ruu+9G7b//T1VS0jdGPgHa3SYxP8JDzdAz0p4BbtTlB8M5YeWEG/qJTlAvbXDHg/Z7KreDdndsPbLqc8cdJD4LHckwUuwAGZ1BDsx7dygBmx5xpR01NdGbKgBAHqWhv+7kYoOx5R7pKiqKtjcwNz1q6tEe7FaYEcN4uLOO/InuO8ELiehvKQDsYn+4xs/cYExoD2n7TrL6OhOCAgeCIQlOu+mnj3tNTf5/tpI44EFOIdnAtik/kdoJACk+Nn4QoLcF+8NWLPTP97+6zfL9tfgAZCP5AW08k/aEYMxTe5kfTqp5FgTrDm1jDYI4csLMQQW67oRFSMjjS9TVLdSLL/5Tm2++i2bO/EZTpnwci7RL0pQpH0qSHnro99p++4P06KN/UFPTYvXvv7rWWmsLjR79Ry1LOfjgc9SzZ/9COrsTeH6GTFOTdPDBv1RLS1rz5s3USSddoPfee1l9+w5RZWUPlZaWFepcaaXV1NiY0ahRp6uhQdp22wN16aWH6bPP3pEk9eu3sqZN+1wLF87W/fdfn9iuTz55XXfffYmOPfY3tme9vvA96xTlqKNW0WabjdKxx/4ptg46oc+cYr5I8ewT7zfXO1hjTH2dbGzMp98T6ZfyOuLbMJ0MRdeleNACXfL/PeqO7nogxIsHhbyE/XRC00Go2z4nf8O20h8PemBnsaFS3MfivnDd4Dd2xP00/EvGw8G8Z76k0xEw9znmfYJY9fHEroS2in5RkDnbjEI5e7CrvSy5/Etgvr387xUHu16YbB6pBdQRdfH3teKkdOkyQHPnTtYmmxyhV165OfGZ7pB7mg+T3J1edx4ogHw/KZV6MGLuZLph45rzztu6VbvOPnuLVp+VlVUVnpH/P/oOJ6l795V11VUTlE5H1tojCG6QcFh8geJ1YbTPWWkWAF8IHKTjHPM9MvNF0Y0lTqZfQ/sAIu5QwaT6mPgz3fDTThxPBxK+v5KFCJn6wurOMzKBXEAHAVksvmQA5HJ5WbKnkufxbCkC7qTj+2LJotWlS1y32dqAntXVRfKBuHHg4f2urY1HISEPePd5VVV83HgWzklRUbSVICSKVlttHa266jrKZKRBg9ZXZWW1Fi+u18CBK6m8vPrbZ2V07bUP6PzzT1T//msVHOqiImmVVdbSxIkfaPXVh+s3v3lECxbMVefO1aqoKNcGG2xdcLRnzvymIIvVVttI/fuvoqeeulXXX/+bVvPFy+WXn6YxY0ZrhRUGK51O6e23n4l9//nn76pPnz566qm7tNVW+6tbt576wx/O1nPPPaIHHrhZDz88TUVFqcK8IaogReNNhM2JF3/fMzqLA8MY8LlnibjTSb0OzBhj5oJH/D365FEfAEc2Gx3QB4ngAIooKzpJX/w3USf+9wiVE45OJHkWEXYTu+SfAb4gBHDsmF/uOHr7/DA2SF2e4ZFSrvdMGJ5N1BaZY79xGB3AQ8w5GHSn1O2IPxdgQR1ORhJRdiISfaA/SSmkyBDw6u0NCWt3gFnLkJk7wQ5EfQtI+J1vj3Bynf67PqM34VrhgCKM1FGnr5/Ix8kMxoPns47zvxMFnh0FYASEcL2DGF8HnawGFCAP5ItcuLaxsVFPPPE3bbzxturbd1Chj36GRS4nXXnlUXrrrWf01ltP6OOP39T8+TOXaNfuvfeSAtA999yHJGWXGcwPHLhqgfBhDaRNrB+RjFLae+9TCudWbLLJlmpuzp8HMHlyFF0vKsoUZFpcLHXq1FfnnPOQrr76IL377gvaZZfD9cQTd+iLL8aLM1GSykMPXa3m5oWaM2e65s2brYkT3yx85/aT8tJLd+tnP/tTbOyw04Ax11Hso9sOxsDvD+2wFJ/vzBuXH3ri2QHovpNuFPRbah3pdZ/Lbbmv426bvW6enVTcn/UAhhQnoegvcuPZfkYQfYN4w/aFW0Gw41xPJD8MZITjjN+KnaGt2AHuCQlc7BZj4/Pdg1Se5Yit9/7zudQO3pe3tIP5H1nxxdsL6YOAIp90mUx0GJOzsOm0dOKJT+iTT57XWmvt0iaYr61doI4dO8acA9qCk+DOVZjK6gy9R9sBVThBceelRa+88oBWXXUTVVX1SWzXtGkftvqstLQq1ncpWqTcuUunU7FXtkmRYSJajEOJM41zi1FzgOttd2AeLjweYeN7B44OBrw+jzLhwPMdQNoXLK7DIfaoB8DCT633yKSnynI9//tnLFqh8x6OuzuLtNGBG9c7i8vn7MllrIji49C7k8xY+gFsjL/rAOAekO6HDzrQAwCSzkqdLLYQPTzbo1AQQBwSVVIS/Z2vJ6VbbnlPNTW1qqrqFmO+U6kynXLKnwt1AphOPvlKTZr0gUaOPEgtLUUqL+/ZCnC0tEj9+q2qiooqrbjimjrjjDtUXl6tgQNX0k03/Va9ew/UiBG7abPNdtKvfvUTLVw4N6af7747Vu++O7bVvJKksWMfVDbbrPvv/7MefvhWzZ07Sw0NebS+eHG97r//Wo0adaLKy1P68MM3dMEFx6tr1/7aZZejNHLkjjEwjb66TamoiMAGQMdTdPkffYOckeKOqTuNONvoJvqEo+OH2bEnlzZh0zylnGc5cHKilCyeDh2irBIHuh7lpDiI81dQudPJPOIgRgf56HVxcZ48QWf4LpeL0q2dPPUsEyLyvlWlqSkPRJinDlapH2ccxxSQxgFKHA5HnzgjhOhcKFOehc77AYTouYNu7AwyQs7IgYgTb1bge49MUrdHKcO0UQBPuE6hO6yt/hmkCkDJAUxYwqgY0XzsmWfVoRfY9pAERka+TcgzThgr6vBnh0QvsnYiwbMWXDc9MhuCPMCGr03ICEB/yy0X66GHrtXjj9+gv/71HeVyqYIevvvuGD399F068cTL9NZbeZLxtdcebS1IK4ceep5uueU8PfvsXYXPSksrxSvhJGnAgCGaPPkjSfmzTsaOfUCjRp2gt94aq513PkJFRanCmHt2CG/dwFb4GujENXbuwANP11/+8hvttddRBftXWhodIJfNVumSS+7TV1+N1+DBa+rzzz/SF1/Esw0o6XRG229/qB5//GaNHp3ss4V+B4V1mGtY23O5ONGN/WPtYnwh8xhjxlSKSPwwUIPu8VwHsW5/PQPGt/uFfqeTAQ6u87KJE4ruA/tcdvBJv5xwAtBS/NlOrtEWB/BOpElxUgB/g3uYC9QF0eWkXeg7+9rjgRTGg2t9vJOIS1+H/BXATtZgZxlf6mT+8j/9c4K2vXy30g7mf6TFjZMUB2O+xwwnNpeLQD5RHUmqquqpDTYY1abxl6RHH/2D9tvv1wUQ6lEPHAxOdicah6NGvQsXRoarQ4d8NJbvHfBhYB955Drdc88F6tJlBZ1++pIXbS8rrbRRLBrt8gkj3r4HlcXMI9FE0nBMPb033BfsDCif8RyPGDmZwvdS3DmkvXyPQXfwghEntRYW1dPOpDip4sZfijO0vqfRx8WNNM8lJZ76nRCgnYALDDsAi+i2gzJ3AhyY8kyP2PsCiL74vdxHP8IokjvZXI+TzhkBfE+9jB/98OdAHLgMAEa+CKOT7lD37NlJVVWdJMUPvfHoJRkYLS3SkCHradiw9bRwYZR2jgxKS6U5c/K/u3XrpbvvnqhstrTgEO+998+1007HqKSktPCqt3XW2UIvvPCgJGnVVdfTJ5+8kzSlCuXFF0erR48VJOVfqReWv/zlfH366dvaZpvddfbZR0uSpk37XO+//5yqq+/VJptsrXQ6Gk900SOU9NXTugHhyA9SAN2GBCAVFtlVVMSjTk7UeJQbMpL3bnftGoFadBqHJslpJM08m83X4VF7xhNA5XpKZI5oPWnzHtHyCFtI4Lr+OiDzt4LQVr/HSUBkwOGUvn/V++wOsusoZElxcRwws/64Q03Ul7rdJjJGdXX57xoaou0T1MO4Mi+Rke/lhjigD050YP98e5in8/uYOkEIoefrCSVMO3W7z/fYQUgqt6n0h7Z4FB3H3zNNIEzQZwgb9DWXi7JhkEsYpQekSXHSi7H1Pb7IwecP9UIKAwD8MFz029d3ggroqpOxJSXS00//XZI0ffpkjRq1ki644D6tssp6kqTzz/+JJKl792RiPyybbrqHRo06UZ9++pZeeWW0JKlTpx6qqChTU5N00EG/1rRpn+qXv7xKM2ZMUS63WL16raWTTrpC3bqVq77+7BgJg/w82ut67USTkyXct8suP9N6622ilVdeI6YTEYErpVJFGjx4HTU2SgMHrivpNklSUVGJmpujMG8ul9VRR12o0tJS5XKL1bVrP9188/mx/v/97xclyqW5uUlScQzsuX/BvKqri5NfHqEGdPK5vw0CuTD/mWfc69+j+/hVUqRnLlP0H73x+eagmH6ERFySb8u1UmuSwOumDe6bODh3MO7rdkg+8HYVyH5vl2/J8WAA3yFD/FAISrcx+Pl+9hDP8Ei9kwJhf3xeuz44cep+pesHup8kX2ThtqG9tC7tYP5HWkKj5p9h/Pz1LlKULkrESYom2JIm2ddff9LKkXG2monuESOcF2fxiEr4K5qcJXYG8Mkn86fCzp37jc44Y73Edg0atKEmTXpDkrTGGttqvfV20vDhexUMrBQ3MG4giQiw8NIXABhphRQMMdEQ+sji5oCZ57iBdScah0iKFnvY2iQ5+6KE80MdyNajRSwoSft8SV/3qLxHoXO5/KtlWJj4zY87yIAw35vOs7kmXDR9vKVo8eJaXxBdRzzC4ycps0+dgwGpzx0qnFHGFN3FkfCDuNgCQHtxQIkg0HZP/+UHMBgCA2QLQeSvK+vQIb6XFmaedjt5kclE+42dJPFzAJqb8858eXlZYezLywHQpTESaaWV1iqA+WuueVxPPXWnevbsq5VWWk1XXnmaqqv76Ykn/lzQxenTp2j69ClKKnvtdZQeeeQWPf/8aD3//OhW31955S9VXn6Tbr75PPXtu5JGjtxJm246UiUlpbG+t7RIY8eO1ieffKIRI3bToEErt5pfDrSQgRNP6Bh7XB1A45xQj0cSIMfcgUWfPD0dHXJSoKwsegsEIJcoFrrlWUi0ge95voMGJzOImvh8TnLKGF/fz4u+8dpGd5DZekTUEfl4JB6ywVNrParj9pZ2ofv+GfbT0zq9btofgl13ivmb6zyDCBn4mob9IJvJC2uUFK2b2DXaCNBkPBgTxpjxd4ceUO1Eoh/q5/2V4ofkoa+cSwGoR79pG/c6SOc97Q6C0LF0On+uCUDe55BnPiBTZIH8IA2wX01N0XkNjJtn03gE0clWz7ppaWnU3/52hTbddGutuuqGhfevS1JNzXydcso2WmmldTRnzteFz7/66rPYGJaXVxVOf/cyfPiOymSkAw/8dQHMz58/s7C+77//Lwv96tFj1QIRVV5eHos4c4Ale5NDu4NdliJCBT33TIrS0ozWWmu9Qv9ZwxzQk3mTy0krr7xu4TkjRuyuZ5+9t/B/LpdTUVGZfvrTi1RamgeKo0ffrJkzpxauuf/+K1rJRJIWLJihzp37FnTe56mnhbMVCl1qaGhNRvlccDDn+uC2FjnyHTqFDNxWI1fubWiIR5+ZV05M+vN9rQ592/B/byO2j/75egHp6ODZCTLWHZ87xcXRmLrfxHMAxU1N8S0b3g/qcaKQ9cSJDs9S8DWGOejkufedNvl6J7VO6Q/HnHnuAaIQ1HMPv9uj9m2XdjD/Iy6k8FE8Qsz3lZX5VEkpPzFJt/dUYQdcSWX8+LHfLvRZyV7rxr5DKf4+Ym+f703EacRAYeBxtKIoWU4LFix5H9wRR9ygNdbYS1OmvKvx40drzz1/pcrKioJzyGLpTg/gja0I5eVR5Aej7VE1Z5WluDPlIB3ZOhvqkTL66oYRuROpzGRUeHUMY8kzPdodEgYYcz6jHW7YXR883ZN6Yda9/76QhsSPR6w8+sfiyrMc3OPcSlHkh7FnUYKRB4Cy0AGy6JenhNE+HGKi1MwFKf4KPQ7b8swGQJ/vN8Nx45nu1BJRQt4spCycEDWMs6crMoa+V84XeeQjRU4hMuUkbfrX0pJ35OiHb11gTHzrAOPCmOyww0F6+OEbtNJKQ1RaWqyddjqk0P9LL/2HamqknXY6Qnff/Vu9/HI8O+aGG57WscduW/j/tNN+pz322F9nnHGkvv76S6233qZ6552XJUlVVR01Y8YUnXHGXqqrq9F7772i0aNvU2Vllc4441LtuONP1NJSpHHj3tbtt1+uF154UpJ033036ZFHximVKirom6chAjo8Wu565qAO3cQJkaJxxMGE4HIni+eGqZneHs/e4PV8pN1jF4mwAiZwbD0F1YGcR3yxT/TdHah0OoqiYfsozc359qCT7rhBAjn5hmw8cuZzwp1nT8UPAbdHid12UIfbDAepDrghHZxAZJ64Dnskz+vDKfU3VNBnz67yTDJAJvJmXruNQjbUCyCBpIYcYhxoJ9czryNAG9kL/maNYbxYG3gWbXBSyckqt3XeDic5iTpj+/2APvTVwVfo9LN+NTXl20YUFpsJMPLnso2Feffkk3forrt+r7vu+r3uu+9zJZXPP38v9v9bbz0W+3+77Q7Qo4/+7duIc1Q22mgbZbNSnz6rao01NtH48a9os812L8gTOaAbvlYhR/rhgI17mU/ogAMc/x875dthfB4gV6KtyG3FFYeqd++VlUpJW265VwzMS/FU96Ymqbq6WwzMt10WFuxgY2P8MMRQT6T8mPn2Al9LXHZuN+mfFM2FTCbauog8XTdph8sM+frc9Gc76Uk9Hrhwf8vBpoN9Jw6dnEUHnCjwvjMPXM8p4TYqbB9rgdfrc8b9Va/PgTz1O1nnvmpIDPtc9fb4uPkawBrj6xUygthCbu5f+NxxWSPb9rL00g7mf8QF4OXvdJeiKLNHQpmYALbQ2EnSGmvsqPHjH2/1nPr6RXrmmZt1553nqb6+RkOHbqzzz39EmUwm5shhmDDYGGVnDjHsOA75nxplMhVavHiOTjxxMy1YMCuxv506raCWliZ17dpbG2+8r2prpZVX3kCrrrqBysvjKUBEVz0yygKN4XTw60468mKR9UXEAbU/j/ocJIfRMgfDbvC8Pr6DqPExdZlSj0ctqc+dXr73axzw89uvx7Gg/QBd7wPXh4ugL/hO3Pji7gDL65TiJATAmfvoB04wCzwyoa1lZdHr6jwdmDYhJ3da3HHHIfNX5pHpsmhR9L87rg7oaZO/ysgP1KIvobNAvyDcXKcdVHj6N8y/b7/gWU4iYBOYA5LUvXtX3XvvuyovL26VIgg5MGjQKvrFLy5pBeaHDh2m116bWyDrSkul1VdfV7ff/opmz56uAQP66YwzDlf37n21zjojddZZ+xXeudy//8qaPn2KamtrdM45x+v++2/RwoULNWnSx7FnzJ07Q2+99ZxGjty24NA0NDSrqalBH374rmbPnqntttu7oEcdO8ZTNnO5nB5//B7167eWVlxxiFIpafHiRo0Z87i23HJr5XJVMYfQgaBn6iBDJ1cAkOxhd8cUhwhdpT3uQDpgdzDhQNgdNgcVoRPmp49Tt0dH3dY4YCP1k3nvB2ClUvHtWOidg3u3i+gf6ejMD4/OUY/rvc91XzvcqUambnvcQaU9FI9Guf2lnw7IpaidrgO0yZ1jKb9FiP34kHtukxgD6nQi1Ynzxsb4Fh0ygNLpiMjEjtEHn8sOFgHl2BkORHQbT5Q/JNXRJXyF5ubIbmGjGxryQQG/lrGkuBywJfPnT1ddXVZ/+tOJGjhwqI444oKYrk+b9mnh/gMOWF3ftaRSKe2110/1/vsv6ssvPyp8PmDAKqqu7lzowwUX3Kknnvi7Nt54j0Lf3e7TFydiPArKeDJW5eVRtgVkqh/+CjANtxkwr9mC6HJ08j+v68W66KKXVFWV1dy5E2L9zmSKYuR3c7PUoUOnZZIZ44N/kfeL8qn3+BtuAxykO4HmpBN9l+Jz2ueOHxDneuYEKWsl67b7UJ4h6Bk2yA6/wdvqQJS2h35efk2I9JfrnMRye+Vy5zsnLJEJ84nMJ56FffS2UTfXIiO32x7sorhf5xl9LmPu9a1gFNoBOYBd8TmOvCCZ0Qn3fT2jCBlga2lnO6Bfevl/DeY/+OADXXfddXrvvffU1NSkwYMH69BDD9Wuu+76327aD6J4hESKRxI9uurgLQTY7uwde+w/dMIJXRKfdfPNpxb+njDhVX366etae+1NYs6vA89sNoo049yxsGEUW1qkefO+1s9/PlzrrbelevdeqU0gX1xcpl/+8l4NHDhYUqaw8OCkUBxMS/G0LQfTDipZjN2ZDYEw9xDNh6H3926ziHvkyAF0vh+t2e2Wlvjr72ivG0PqYDEOnUxnXn3MHYyGi1m4MPjCxP2lpXlHLnx1lEeanSTy10e5Q+RABAfTD1/yNvm2DQA40QH+dwcBmVdUxA+IYtFHplzrZAff40gDbmg7UbMkmft4+oLuhIaTHkTLaB99dd1zkFZdHY2fR2dpM/MoJGVyufyYkYFTVhY56DwbgFlaWlboDwu+R9QaG6UVVuip/v1X1pQpeee7c+fuhT3N9BvntqysTL16raimJumSS24tgI1nntlDzz77kCRpiy12UkVFhW688RJJ0nvvvVGQ5+6776+f/vRk/eUv1+rBB2/XL395gPbc8yAdffRp6tu3t84881C98EJEOM6bN0NXX322unbtrldeGaeSkpLC4Wljxjyus876mSoqqnTNNQ/orbde1N13/0nz58/W3nsfqjPPvKow5rTz8cfv1J//fIEuuugGDRu2RUFvcFCkOJhqaYkDWD9NPWmbC843sgsdRLJEsElOrODocvgjNoktIIBAb4ufA8H8Zh6yRUWKAIoTG+iuH5THwX703Z1Pj+p7v7BZHsn0CJSnmVMP44K8aTd9RtexHe6Ic09FRWTX3IZjs91pdgLT561HqPy5Tgp7X70A7ADqvj8f8FBZmW9nXV1Ut7/Jgx/qc6LDARPrD8UzHugLAMzXvjAqTftcR9xuOzHNGoVPwdaSTEZauLBWJ5ywhebPz6/n7777rHbf/ecqL69UKlWh2tpGffjhy4X2NjY2KKkMHryOPvvsvcTvNt54N/XpM1B9+65UAPPnnHOLNthgi5jOlZV10F57/TwW+XZwiM13PyYkNiG2WFMYl4qKyA+hHogbJzbc9+A1qgRhkLGvAXmyp/hbHe4c6/dvfvOPgl5G5FZx7JrevQfr66/zWxJGjNhfL7xwpyTWgJzmzJmujh1X0EMPXa1HHrlUhxxymYYPP7hVJg2y8v3Uvs6EgNB1hzUPPfTIL+umA1R//7qDWewd7QmJU9d36nSyC/1HXv5M9wvww3g+32MXCJ7xw5kWnjFFPWx/cD/H5wxjge3zlH2/jjnpa78U6UtYePuIg+6QmKQ/oSx9Wyxj6vv8yaxx3w89cJ/I/+b/djC/9PIvgfmxY8fq7rvv1rhx4zRv3jzttttuuvjiiwvfvfLKKzriiCPUs2fP76Wx36W8/vrrOvLII1VcXKydd95ZHTp00FNPPaVTTz1VX331lY499tj/eJt+iMX37ngEBwOGwcAYuKPpCxuAaOutT9SYMdcu9blnnbWLdt31WB155HkqLy+JRTMAXe5A4UTgqGWz0rhxb+nJJ29VQ0OtXnlltLbZZv82n3fxxW+qW7c+sXRmB83uGDsg971ZGGNORHfHkN84RG7UeA6AEpljzNzp8giSt9UdBI9IO1OKzHwcMcDO5IYRKhZUX1z9WjfkfMbigvPiINsdPcbMU4qRT+hMettCgod0Zu4LU0194XJW19PyYK/d2YbMQc60wQEI+k19rhPoJo4EgMJT2ZEF4NYJHOTjYyFFzgifu/PjgMvnadgur5//WSgZP/ZqeyTTiQQcQ3TA0489C4D+ebQgAkbFuvXWV/Tllx/osst+peOOuzgWeXKyCd2gL7T1pJMu0euvP6va2oXKZIp0xBGnat99j1B9fY0uv/wMvfrqWJ1++qX6yU/yDuVxx52j2bNn6sUXn9J9992if/7zbg0fvrleeOHpmF24+uqzJUlz5szS+uuvrEMOOUZbbrm7Bg9eQ6NH3yNJqqur0dFHbxe77/77b9HJJ/9GnTp1LuhqOi399a8Xa/bsGfrpT/fU5ZffoU8+eU/HHHOK/ARsd4bcaWJ83J4wvoyXpyVyECHjzzzzeUQ9ZFtgXwH91L9gwTQtXNikHj0GFpywzz57V+XlHdWv3yDlcrlvgWdKTU3Neu+9V9TYWK98dlVGmUyRiotT+vLLSZo06QN9881k7bLLYfr668n68MM39ckn76lDh04aPHhVLVo0Tz179tfw4Tvp1VefVC7Xoocf/qvWXHO4yso6qKysQtXVlcpmc3r77ZfUvXsvdejQRZ07d1VNzQLNnz/3W7uZ1ttvv6LS0jJtvfXu6t69r7p06aNHHrlZDQ21WmONDbTaakO16qpDtOKKg9WhQzfV1MzVm2+O1axZs7Xffofr73+/Xr17D1CvXoO02mrrKp2uiNlbt+/Rvugo1RywxhxDf8O0fdYUd7gdQDAXHbSQ3cE4EjnnmZzPweFz2Eeff6ypnhni9fsa5sDc0/SZj2Qn0U4HNJBCEcnXmqhxEOy2lTqwW0VF0mefvV0A8pRDD11VQ4cO1yWXPKY777xCkyZ9oKWVTTbZVUOHbqBHHvlL7PPq6i4644w/SpK22mofvfTSaBUVlWjzzXct9MUJfPrE+oX9Yy337CX6R799PjvZ7enYYYaGFN3jPgljzhxGjtigMIMtT8xGYP7qqx/VyitvXLCvjFM6bQu8pK23Pky9e6+s0aOv109+co7ee+8ZLVw4S/X1DbrpplEaP/4Z7bbbGXrkkd9Jkt555zFtssnBkvL1zZkzVQsXzlLPngMLRCP67n4N+oEu+LrmPin1OrHpUV/GCtKalHzqhsjkM8Y0lLVHs/25zNPwYD0HngSgGAP38UJyAJ/C1+9cLso85X/P2HOikzZBBEC40kZ0DF89JB/8M/rhfcYHQ+84cwA/gzbSN/Td/ceQ8OQ11+i425ewsAa1l2Uvyw3mzzvvPN19993K5XKqrKxUc3OzcjYq1dXVuuWWW9SrVy8dfvjh30tjl7U0Nzfr7LPPViqV0j/+8Q8NHTpUknT88cdrv/3203XXXacddthBK6644n+0XT/U4uDMnWuKR2hYdFm0nJnLZqXddjtP22//K51+ep+lPvef/7xBQ4asry233CtmEHwvM8bM9xPOmvW5Tjhhp1aL/TPP3Jn4nI4de6lLlz4xJyWdjqLZDkod7AD23Hlx5lyKEyFxABPJ0qOpOFdcj+zdsXYHIswAkKL/AbhE/NxZpIQg0J1Jvg/JHGdBXR+cBHEywEkF75ODE2TuTDzycNDuwBeZeYTNHSAfh3CRd4fMCQBf4FnAkR3RPfoLaKXPRKrpj7/WzhfZTCbOQvsYOElC+pqXMFUROXIfC3iYkoszjvwdGLtTjUPthAZy9WwcKZqHPv6lpfk0Yep0+SJjtuEgp7xTkNGgQevq2mufUjablw+OC33x7A10AYenU6eeOv306/TXv16oDTfcVi0tKVVXd1WXLl113XV3qq6uWZlMUcF+dOnSXVdffZcmTHhNV155vt599/UCkF933Y317ruvKiyLFi3S9ddfoeuvv0Jdu/bQnDn5czdWXHFlffnlp62u/+tfr9SOO/5ECxfWatGiGnXo0EkZY71OPfUASdJnn03QqFFHq3//furdu5+KizMxZy6dzmratC9VUzNPPXqsoE6dekrKv0saG1VTM0c1NbXq0qV/gTRk/s2ZM1cTJ47TiiuurnS6RB06VMfmqtv26dOnKJtNq3v3vkqlcpo06SO9/vp7uvTSEyRJhx9+ljp06Kb11ltPRx21gzKZjG666Smdddbhmjt3pgYNGqoFC+YWsiyWVF5/fUzs/xkzJuuzz94v/P/AA3+NfT9u3OuJ9cycOW2Jz1m8uEGPPXZ3q8+/+uoLPflk2/ddd92FrT7r2rWX+vZdUSuuOFjDh2+hzTffUsXFXdTS0qKHH75Pq6yyhiore6q4uFuMAMVOAI6am3OaMOEdPffcvSovr9ARR/xGUpy8kaJsCuaS2wrGT4rmJ6SwFAeG6EKYmeBRXmwfa5+vN074uI3nwLpcLj/vmds8h/Y4MfD6609q3rzZ2m23A5VOS1988ZFOP31v9e7dXyNH7qett95HHTtWFdbjN998XJlMSiNG7FB4BeKHHybrwoQJr+vTTz/QmDG3LFEnKJtttqt69hygIUOGq6Ehp2uuOVqStOuuR6qiolwlJdL22++moqJbtcIKq8dk7eSGk87+OTYXksPXTs+AcDAjxddZwJJHKwFT7pswLiEB46CLMYP4y9uQDoU2NTa2xLbGcH1zc5TZUFXVWVtueYDKyztpyJBtY0T+k0/erPHjn5GkApDP19tQaMv8+dN0xhlrqaysg37/+49UUVERA3aeoTBmzM2qr5+jffc9rdUayvqLnnnEGwLdMxhY37PZyC9taorOIcHXICvBCbAQoLtPxvixJQrf18+goF/u53kGHW2W4mQWepFKxQ8z5T767P4S6zc+i+uhR995rpNkPJcAHVkjyMCzE8iqov6amjjI94OwfVuBnyPlvrHLh+/83CQvTqT4nGovbZflAvP33Xef7rrrLq299to6//zztdpqq2m11VaLXbPuuuuqZ8+eevbZZ//jYP61117TlClTtNdeexWAvCRVVVXpuOOO08knn6wHHnhAp5xyyn+0XT/U4idkO9vooDEEItznEcQIYJXr1FOf09NPX6r3339iic+ePv0zNTfXq7y8PJbejJEA7Iwde6+ef/5+nXnmn/WLX+zaCsh7+fvfpyqbLdbChXN0zz3nabvtfi4piiSyOPgry7LZaI+xA7GystYpYqSXkhqHkWNhwQiGkX+egVHlczdYLMrIO2Ty3fC5UfeMCor/7QuWP4eFy50BZ1i9jf4MB5DOImOwMdYtLfGIEQuo9yUEntTDmHl7PdrtJIT30YkQDpoLI0Nev6czZ7Ot08NYwHGi/L25tI12kiqKfNAbXsGEPrGgepSCtnhEh7640+FZJKFs+NwdP7+WMXbdcgfCAYUUP6DL9TlM23MnzMcDpzKTiVIJPUU1HHMnM/xcDEkaMWJXjRixa8Hx4bs8cCkq1O0ph+uuu5Fuv/0x/f3vf9Tvf3+O0um0zj77Ok2e/JHuvPPPOvzwn2uTTbbWAw/coqlTJ2rcuPf07rtvFoD8JpuM1CWX/F3HHbeXPvzwHUnSJZfcpDPPPEp/+9v1+tvfrtfSynPPjdZzz43+Vp7F6tdvRfXrN0jdunXX1KmTNX78u4XzACSpqKhI3bv3UllZuUpKSlVV1Ulvv/2S0um0NtlkG2WzLSoqSqmpqUmffz5RM2d+E3teRUWVunbtrsrKKpWXV6qyskLl5ZVqaGjQiy/mCY3S0nI1NzeqBcX9tvztbxfH/m9ubtLBB48o/O+Ae5VV1lEqlVM226Lm5ma1tLSoa9cVNHv2N5o69VN16tRdq6yynlZaaWXdeecfJEmHHfYrderUVX//+6WaP3+ORo7cXX37rqRJk8Yrnc5o+PCd1NJSr6amWr3zzmt6++2x6t69j0aM2EPV1ZWqqOiojh27qKgopalTJ+rGGy/WgQf+XJ06ddbs2dP01VdT9dJLT6uiokr77fdzTZv2sT79dIK+/nqKFi+uV1FRkYqKitXQUJ84VnPmTNecOdP1/vuv6eGHb1c6ndbqq6+vLl26a+zY6NyH88+/TSNH7qyiorz9z5N9jUqlSpTLSa+88pTOOSfKFNt112PVpUuPgu2vr29QRUWpWlpSreZFKiW98MJDmjt3qo499gRlMqlYRpMTQfkxiq8PnIHAtVJrG+ukKWuTnzvge3ohs9kKA/CnDeG5JCedlO/3aqttpMGDVwDuw+AAANFLSURBVNILLzxYkOu4cW/o+efv0/XXj1YmI02Y8KHOOedASdKjj05VcXGlmpulDz54LXF8JOnOOy9Sff2iNr+nHHXUeerff7DSaWnLLfdSfX1OlZXlmjRpnHbZ5ejYGrTBBrvEQKRnTbhN5zteAcn74ol0OpnutpjvQjLZx8aDKGGWk9tV/0yKxtGjsLQjP/5pbbjhlpo6dZLWXHP9xIDCxInvFOq+5ZbPJUVvPvE1debMKYmyXrhwTqHPt9/+S0lSQ8MiLVgwW/fcc40mT35bZ575pLLZ0gJpUVws3XLLqZKk4cN3VrduQwOCIZKFExusUaxDHmXmWsAvBDEAHD32YAOfM+ZcQzAnDBQAvsmKYi647+d+mQfBUqnWr6nMZqOU+tCnoD2k5LufwnWZTPQaTgfbYcAC/zQMsODnuY2BSOcNK34oIzoMgIeI9y2FAH22yuL3VVXlr/FX6dKf8vK4Trl/S2kH922X5QLzd999tzp27KgbbrhBnTt3bvO6/v37a9q0JbPq/47yxhv5PZSbbbZZq+823XTT2DXtJTKGfhq6RxBYOJL2NIf7nzAiAweureOOu0OnnbaqFi5sG3jfeuvvdOutv9MNNzylPn1W1oMP/lmrrjpMJSXFWnfdzfXZZ+/orrtu0DPP3CdJ2nPPFZfYl+7d+6qoqFItLfkD74499saCwfF9Yh6RxYkBuPhebK7zd1sD5p0xDwEUBw+FbKwbI4+s+ncOch108z/feZ38dgbaCQLuCyPpADXudzKH9GqApKcHe/tYGL2dzhb7IuwRZZwnX+g8yuQLIwVdxal0h4Q6fe8geuuLnKfE+hYI9jW6k+QLHX0A2PIM+kHqLTqGTrnccSCdAQ8XK5evt4W5hhNBZgay8v6xYEvRuHkkLgTz7mw6ieDXUKc7oiy4noLn5wdAWNA3Dtjy5/q8SqWivaCuq8itqSkae+rEqWAMPBqd17eUDj30ePXq1VtSpfr3H6RBgwZpm212Luj+nnsepn79Omv+/Hn6/POpuvnm69XcXK+zzrpYRUWV+vvfH9WXX36kwYPXViYjPfzwbXrttbHy0rNnb82fP1eDBg3WX/5ynzbbLCK4u3fvqQUL5quxcbEmTfpUkybFI9slJaXq3LmrZs+eoebmZn3zTet1M5vN6qWXnmr1eVjq6mpi5EBSWbw4GcwOHbq+Jkx4K/G7zTbbSVtttbsWL16sjTbaSl279i7YTinv0JH+61kwZWXS4Yef/+1Yp1RWJm2zzW6aNm2aBg9eT7lc3slrbMyPfadO+Tr33/8Xam6OyFVApZTXk/Jy6YgjTm11rgMnpEv5PfoA05qaWpWUpFVUVKQNN4y2/u2662H6xS8u1aJFNZo16wvNmPGlPvnkA7366jP6/PMJGjeuta/wxBP/UFVVB+VyabW0pPX88/fr8cf/phEj9tL++58SA/KStGhRnTp0kN5++wndddeNev/9FzVixG464YRLlE6nVFnZo0Co19cv1JVXHqvm5kZtuulGWn31DWKvJKupiewG9pFtK1JElvrBXFIcpEhxwox5zBzkOp+fntHDcwH4kHBNTRE5NHv2LA0YsJImThwnSRo2bGu9/fYYjRv3imbMmKkePXrE0t/nzZulLl0qlc22aMKENxN1UJLefvuZNr+jrLLKBtprrxNj62VpaUojRuyk9dbbqQDCwq1WTlr72k/ffQsgZ7FgVwl6IFO3mdhqKf+5EyeepeEgy8ER9toj+plMFAGlUB91oVPXXnufGhtblMsVxUAbba2pWVCog/oBj55+3tiYbDemTh0vSVqwYK7Gj4+2MjU21ujFF/8mSRo37lkNGbJj4TvkK0lz5kxT585DC+n/DjhZv6S4LiIXZOnrMff425DwC0iF960gfM9cwC/y5yFLzh+R4un84cGhrF/uz/G/Z3Z44MP9INqSdL/7TrxVQIpnCYUkBPPbM3zIfvDtPKTU01d/VnFxPkPHM+jc9iQFTRhL+oTf41mlvH7PCQfXefeR2ktyWS4w/9lnn2n48OFLBPKS1L17d73//vvL1bB/pXz55ZeSpAEDBrT6rmPHjurcubMmT578H27VD7uweOAsYegwZG5g+dtBPQYD4y/l791+++N1773nLfX5xx67ndZcc8OY43T88Rfqnnuu16xZ3yzhTqlPn5X11Vd553i//X7dKsrMYosRcYMpxY05DCgn0jow8x9nyR00ufMQZjK4rPkNKPQFid9OOLhB8/55fU4SYJj9M/rqkYOwTbDWHu1BZr6gcqhMuMjy2+9BLhh3/9sBmD8DEB6SGLlclBHh0Qoi3zhpvn8MsOmpaBw8kwRQibqwKDHGpJ37oXXUR/SdxZQ9yf46GUC3EzwQBP6/kyfMJyIQzFM/QTZsT+gkuFx9fqZS+QO02P9JP1x/pEiWgDTGjnkFgULbvB0h8VNcnJfvwoVxvfG0cc+UwAFxPWRuMm6AfU/hI9WU+ZLNStttt2cBGCITf00g7e3Ro59OO+13BQcpP56lWmONdQpyvfzyv+mNN8Zo+PCR+uyzj9S79wD17NlPZWW5b8mflF5+eZLmzp2hbt26q2vXLkqns5o+/Wt9+eXn+vzzSVqwYJ46deqitdbaUCuuuIrS6SJJLZo1a4ZmzJim+vomNTXVa/78OVqwYI5aWppUVFSqiopqFRfn1NzcpNVWG6qGBmnOnPlaaaU11aNHtebM+UYzZsxWfX2tampq1dRUq4aGOtXV1WqttTZW//6raNKkj1Vd3VP9+6+gt99+R7lco4YPH6Ha2pS+/PJTlZQ0avDgldXYmFZTU52+/nqy+vdfTblccSHNH1l69ky4TSgCj6lC9CuVknr06KHOnXvEoshsYyEThuJZKoy3z2XG0cGTn+UQZYdUFgDcnnseogcfvFW77XakTjnl92puljp37qwePTprjTXW05Zb7qUjjzxPs2ZN06uvPqN3331effr00zPPPKQZM77Sq68+oVdfbZ119sILD+iFFx5o9fmRR66noUM31IQJ0fr2/PMP6fnnH5IkDRgwVGusMVLrr7+FZs/+Rs3NecPx0kvPatVVNyg4tlHKbbNqa9MqK0vHTt33aB42HJ3F7jjowaY1NkbABHvT3KzCQZXMjTBayjoAYF24MAJ7kKCffvqBJGnXXX+pefNma9Kk9/WTn6ymO+/8UNOnR5Heq646WePGva7S0krV1dWovLxKgwatpw8/fKFwzcYb76A5c6Zr6tTPCu+HP/nka3TVVb+IyXu11YYV9MOJPvqP3fEDcN2mIW/XdWwT/U+n8/Lp0CHSdQdO1Mlz3FdyItf3YRMFhTTAJjIe2ELApW9JZA2EzIkDx5QymaKYfvBdcbF06KGn65ZbLtOJJ/4xto6HZHpbYF6SXn/9Id188zGxzxYtijIoir5deBoamnTNNYdotdWGF76bO3dOjBjBpvgJ6vx2XwHfzAMSzBNAr0eWeXNLuIXM082dQKB+9N6JMuwdbWHNRhd4vSjjyNsnOLeHNngWBYSD99mJeK5z39RJEd/i5kEOz0BkXtAf1z/00rcp+PlB7icgW2SIHfBMijCDCMIDW42Noi7WCC/up7aXtstygflUKqWs54m0UWbOnKnyMHfiP1BqavJGvgNWNihVVVWaPn16m/d37NhR6f8RKmhphMrSSsjq1tREi3R9fbSgM8Gz2SiKmcnkWTopMngenSsulnbd9VeaM+dzrbXWprr33sv11VeftdmWMAJy/fVnL7X9J510rbbffn/tuGN3bbfdwdpll2Nj6Yq8BsjTrWHQMdwYpIqK6JVeGDDS4tnbyILO4TFSfG92ZWWc7MjlosXe2VwAEOlGADJk7My0FC08Hn2VIhLCx9JBGYsbhUWHe2H3nQXFAaIdpKg5uCL6heONLD2lyp/ZoUPngvHG6XGShLHh3hBoOlmE/HzPoPfTo00cWFVcnI/++b43ZEafPOvEI+I8q7ExWog97SybjcADDh5OIK8eCh0VgKJHqf3VUD4e6Fx5efy940SM+J5noQM4D/QTksEzHzDP2ay0YEHk3FVVRU4Ce/shETh0iznjjocDeX8FUzodvZaPecRp4SUl+b8zmbz9CU91liKyBCehuDjfhvLyKO0RXeAZzB/mHfPbnW1er0bdHTp0LtgyIr3YMhytXE7q3r2zhgw5SnV10oABgwt67im5HTp01oABA2NZCt26ddXQoWvGUpPd8Sstlbp376Y111y9YBuc4AD8VlVF84i6Fi/O25oVV+xbmBPoJLYKh2nAgBULkdutttqpMAerqqQuXTZUhw4RaVdcLK244gBls3l7WlwcnaDOfC0qys9XxsGJQOY1ZLFHNBsaIlIAh7dTp/hWCQ4c9S0gjY3551F3bW20D5wxYB464Mf+/uY3f9CwYVtr221HqWPH0oKd8XFevFiqru6sAQPW1P77n6zqaunYY0/TlluurObmJvXrt5KKi0uVzbaopSWrqVOjbIs+fQbqq6++kBeA/IYbbqOJE9/T/PmzC99NnjxBkydP0KOP/jF2zzvvvKhf/ep3hbbnwWNWp5yyvyZPnqD77vtY3bpVF9Jhm5qksWMf1nPP3a+zzrpWHTp0ipFhvjY4kejkMfPSQcTChZFN9jUA4gwQ0dAQGf7q6mpls82aPfsbpVIpbbjhZpo4cSdNmpQP8Fx2WfwQ4rffzme6cDL98OE7aIst9omB+ZNPvkhDhqyn2tqsDjpomKScNtts9xiY32mnw/WLX/xepaVVhbHn0DiAFe2tqIjrBhl1dXURAC8vz78ZBD/A1zDsbIcOkR2srY3S752ExqZ4xhv+Rxipr6yM2kUbaDc2zQ/by2bzcxcdIO25oiI698dfVbt4cWQ3i4ulk0/+nQ4++HiVl/dTS0sqlpFVX5/3+SVpypQJkvL76mtq5sXG76abjlBYampmFP6urOym0tLO+uijx/Tuu0/q3XejAy0WL65XVVXnwprugB6fE3vAuS3Yg27dornhb/PAviED1pTq6kgWkFf4FGGmW/haNsaTraAdO0ap93xPRgRAFV8BP8RtEvZy0aL8mOMLYnsB3ZlM9CYQ+omvkMlInTtHZBxyYQ7TPl9LkCvZhPgFyBofCDmTLeX3oaPYdtrj9gZbgaxZZ/AB3M+S8n3gjU9SnLQPfeLvo/yr+OmHVJYLzA8aNEjjx49XfX19m2B93rx5+uijj7T66qv/Sw38b5QFCxYs/aIfQOncubPmzZu39AuXUDxS29ISgR2APMw74A2HGyMDuHFmkgWFiXfIIdeosjKfej9p0mtaY42N9fjjt2nChFf18cfvfOc277TTQerSpYcmThynESP2VVNTRvffP/fbts0rpOy4oQFcAgJwnnFocE58L1CYsuQn/FZW5uWQyeQXfndgYUUBFji0LE7s98VplOIpxiHQdQdZikfm/Qeg4ZFuSsh2euE+T4XncwyzZws0NUVRARwRZ4jRAxarHj06a8GCeYXn+LtSMcy+APE8SAXYYP5nTHhGmM7FAsV4sKgztgBg7vMohI+fAxGcMfYRelYAoISUN6KEHPIG2JeiVGT67mco0FZkAVh354T7STenz+hGJhN9X1sbOe30jXMhFi2KCAKePX9+BLbq6iKyBqBdVBSNHamK3n4nSVjwWcyJimArfFwhKQCLvGarqiqS/aJF0fhDzDU0RPuVGWuiHTgLnu5H5MXt3cKFkXPRq1dnTZ8+L5a+yXU4FYwHGQjIFfn767UgfwCjzFPPqpCi9HJIHxw0T9fFecN2AN6QCfaGlEtsGHoZHcwWj1ih52F2kf/2tOy6unz70EPmWXl5lH7p0TL01McC8Mf6Qj8c5PD6LeaDp6xil+fNi0AKJCzgn+wqHGzsNLY7l8ufdN7QUCeprnCoI20vLo7WQtaOvB5U69pr8yBk6NB1JMUjbDfffJ6+/PJD/epX12nvvaPzerzsvfdP9dxzD+iJJ/IHtg4btoW22+4QvfPOWD377N1qalpcuPaDD17Xe++9pUymTNlsVpMmfa5f/WqvwvcvvfRP9evXT01NLaqvb9E330zR7353jLLZFq244kpad90RevPNJ3XggScqlSovkCDYWPrtqd8QNjj55eV5om/27K/Us2c3lZWVFkAFej9nzhzNmTNPTU1RSsWkSR9q9ux80KRPn0HKZJq1yiobFb5/990XVV5e1Uo+l1/+lKRGDR68llKpSv3kJ7/QvfdeIyn/Wsva2vwaf9llTyuXk6qqosVtlVXW089+doWamppUVzevALirqiK9IYuguTmvE76mdOiQ1xsOpINsxFYzJxjzpCh3XV3+hzqZi1Jer/E93LazDrltYJ67/Xfbw/N9veaNAk6CQyxTdzabr9cJi+pqqaKig2bPnl+wzZCYixZJCxbMNBkP0/rr76E77jgnUb+9/OUvhxX+bmhYrIUL50lqHWqdPfsrzZ8/L7ZFym2J+y/19VGmRC4nffNN5LtgXz0Tg7F0v8zJVM9IRW7YK2TAOLOespZwPT/YENY2AKuT2vh49DWXi0hlbCX2BHvPOg3hnk5HqelkErLvnsAT7UMmPA9iV4r8erI6/NlFRZEPA+GKnrGGo5u1tRHBRODDg0me5VFenrdBUjwjdfHiiHiBUGSMQnD/fZTvAz/9p8qykA7LJZZdd91Vl1xyiS644AL99re/LaTPUHK5nC688ELV1dVp9913X55H/Eul6ttTFjzFx0tNTU2bUfsfW/EUKimaWExqT63BGBLhZHHBScWgwUSGqUD9+q2qoUNXVTotHXfcby01uU5SoxYsqFFFRaUWLJinyspOqqzspM8++1hduqygXC6nsrJKFRWVFiYzTlyYXeDAhr4QMWRhw1H0aAPg1SPRvucQQ+KLC5/xXBZaNzohCOc+vvO0VBaLtlKLGB8fP7/Wn+F18psfzxxIehYgzIGiAzWMOH0No9neB2dT+Y1hx3l38oI60CFPC6M4iEcePNNlGKZ8QzzgKPDD4k4bXa5ERQGeLkMWfH9jAc9H/1jAuM8dOJh/z7ygjUSSuQc982wDd3h8YcexRG4dOsRTkd0Z5Dp0mLR3HFayIRgXKT7ncPpxHmg/bWIueGSQcfNsE35cP0NCy1OpkbHfz7WuS8x3Kb61wucR4+Z6h57h8LkD73aTe/g7JNiQq/cRPUVmPhdx8BzM008AArYXOYWppT5HGC90h/twWr3/Tuh5G30OcS/Xe+YBxBn1EhVlD7sDIJ8L/lYUngVh40SjZ4D53+6g+7P4zIlHJ5lop8sWO8eccye3pSX/7nLXcT/s6eijzyvct+++P9M99/xJYVl77S208sprFcB8794Dtckme2rLLffUxhtvpfPOO0x9+qysdFqaOvVT7bvvBq3qoJx99kFtfnfjjecV/v7rXy/VTjsdrH79VtMGG2ygZ5/9p6ZO/VxrrrmFhg7dQHV19WpurtPUqR9r2rSJymRK9OWXn6qxsVY777yvFi2q05//fKF69x6g3/zmD8pmi9XUlFYqldGMGR/pqqt+pdraRdpuu+isgPPO+6nWX38rSdKqq66pdFpabbU1Ym0kVZ5y5JEXau211y/M82xWOuKIc7XmmpurtDStTKbKCNpMYQ255JK7dfXVp+qww84v2ABIJ9dXz9CDaGMueZaU21snsX1N8HrJAkmnIxIS++JReOyDr6uu1/ztRLGvv+gwz2poiJMG2ADWPX9lqkf+KyqiM2KIhvpWJrcBHglNpVK66KLH9fHHE9rUu7bKggWz1K+flMm0DgAuWDAnFjRwuWDH3Kdw+dJnCrIM7Z+v19hjZMn44Qt4YCB8jm/ZQ4bohh/G53vu+R5bz7gCyrGjTvZ69p0DZMa+vDx+cJ4HKlgPpGhdrKuLPwcd4V7WeJ6PPAgAsEZBctJG9/98vfSAiq+bkE1cD/HOuubrm8+zJQWk2stygvkDDjhATz31lB588EG9/fbbhYPmPvnkE1166aV67rnn9OWXX2qjjTbSnnvu+b02eFkKr5ybPHmy1lgjvngsWLBA8+bN07rrrvsfb9cPvTC53aFxcOQOvx9GhLHjXoykR4xwJDGkGMq8Q1Wh4uIKVVZ2kiRVVEQp2QMHDo2lURN9c0PrTrYbcIwqxs8jrjj4gHv6KsUXPQgH/nfwjQEixRoZhmlAIWHiZAHFgaA7zUsD+SxqOMUeXQqv9c/dcXdDTP/dIUgyon6POxx8533ywvNIJUdmIRCmb9Tle9McJLpj5KQS9ycRGeijp9O57Pwa7vW9XbQ33KvqBJb3xQERbSVq4GMSOgohGUOE1rMYnEn3ubt4cfxsASfYHCRDYPGbyDfPwqlF/rQFdt+JK4+c+kE7PvfonxM46AWOOc4LdQNWsR0QbqFeedsZO5w1jyZI8fHkO9+/7TaAMXT99swC6iWaFZJQ9fXxLAMAAk6TE1P8DUj1eep2DoeN53j7sMshOOdeJ2F5Zn19JF8c0iQQ72Ptz2G+MVdZH5CVg2Gi8IwV9+FEoyPoKDrhY0bxva/Iw7NTQtKJtYvXQLnDiMPMlgHP0IC89u056JWvT5AHzc3SEUdc0ArMH3DAKWppKVJxcXddeunDuueeq7Tnnj9Vc3P+OSNH7qZLL31QHToM0IQJT+uGG85WNtuidDqj5uYmJZXOnXuoublRixbNlyStvPIwffbZO/JXBUvSY4/dJkm68cbosxdffCyxTi8TJrxd+HvatEk65pid2rz2ySfviP3/1lvPSpJWXXVt5XL5CNMf/vCMKivLNWvWLN177/V6882nC9fvvPORMVtI9sf6629VyG5BT5zoGz58W9188/uFejyLCN2vrIzAAuPKXOIexhTdRJe5D5sgxdOV0UFACr6K28yQcPT5IUW2wwMi7od5UML/lqJnO9gNfRF8GWweQQwHS+XlrV/l5nX06bOqcrki9emzSps6cM45Y/XEE9fqzTfvj33+j38crxNOGNjKH5Kkb76ZGCPZ6YvbsND+MLasNdgSHyNsu5OqRK5ZJ7FjFRVRAAZyx+e2xyzdrtFGwLv7I9haxlyKtlt4lof7d74+4tuhN6TwQ+Qw1thH9y8gSSFzWlqkO+64VFOnTtSxx56hUaPyZxasueaG+uKLj1VTszBxPA844BQ999z9amioU3NzkzbccEcdddTlKi0tLxBJ2Gn6hwzDdRISjbkWrpc+rsjZ1xefQ+0lXpYLzBcXF+umm27SpZdeqvvuu0933JE34BMmTNCECROUyWS0zz776Oyzz9Z/Y+/5BhtsoBtvvFEvvfSSdt5559h3L7/8siRpww03/I+363+hMAGluLONMXOjSLo6RpdF0PceszBjeGpr44sIe87cYDGhnSTwQ7EwdqTIUdwBdZaQfb20HSY0XAxZYDFG7jDQPnegpbgjyOJMfU4I8Bn3JpEOyNkXZH8WTgmLGwAe2TsAdybV5RMWB4xOdoSMfNI93lb+Dp8XEgr0y/92wMRPknxc9h5V9nH3yG4I5D3Vy8GJ65qDSwd1Lnu/xsecKDr1oDOue9QXApNwIXMQi9NAG4guebYC1/Kb9Fj6C9BkwcdZpZ2eSeB71j0Cwv0hyAUkhaDK+0bdyIqUVe5zeVdWxs9coN9OoPmedvpPxNejO15/S0uUws/2ACdEfG76NgZ3ItzBcjuJs0TqquuoEz/0h9/IA6cdXXXnjfELSb6kbQVuK5wgAai6bJhTLn8iOz4nmKcuf7ZxoGseLQ9tD/3HzjOevm+Verx9yB3wz7xyQI7MiB45CGHOEBlFRowfbSHDC9LLQT7PkKJ1gy1RLiPmRZxczejcc+/WQw/doOOOu0alpQ3q2nWlgg6uu+7mWn/9zQuAlddorbnmFmppkQYNOlp77HF0od4nn/y7xoy5V1VVnVVXV6Njj71CqVSRevceoHRauuaaE7VgwXyddtof9fDDf9QDD1yv2tpFkqSqqmptt91BeuutMaqpWaBMJqPZs7/W0KEb6ptvJqu0tEIlJSVaYYXB6tChk+bNm6mvv/5UmUyRir/10ldaaS3NnDlZ06ZNUlFRibLZ/GsJpZS2225/zZnztSZMeEu1tYs0b950denSU717D9TgwUO0004HF/RmlVXWUyYj9ekzRGuuOUKffjpef/7zr3TYYWcqlSqNRZjRI98zjU5gxxgDrkWPWJvJrnPSC/1wG+e2g7RormF9dNvgPgNpym5PmMNeL/afPjkx5vOX57GmuE31NRDy1ucG7WdeIEvfYw+w97WRupEpZLD7AT16rPjtPCpT1669NWfO16qq6lg4Df+EE+7QwIFrqrKyg8KyeHGNbrpplLba6vhW33366Wt6/fWHtNFGexT6gY/jcw2b6P2guJ8oxUlc6sMGEQxC9r5OOIHtAQsPTrl/B4h1soExRxewGel0vg3InC0tvrZg65xkJrOPOeS+F7rjWUiplDRnzkwtXtyibt1WUF3dQv3xj+foySfzhN5zzz1YkFvS2zq83HHHlbH/x4y5U2PG3KkHH5yjbDYVa7cT8k4gO5EObiDVHhmi674OMTbMB6m1L9Fe8mW5dx+Ul5frvPPO04knnqg33nhDX331lVpaWtSrVy8NHz5cPXv2/D7b+Z3KxhtvrH79+mn06NE65JBDNGTIEEn59Po//vGPKioq+q9kDPxQi4MKB48YTTdOvqhh+HG8WVQ97dwBJIbQIzqkzLF3j/RhDGW4twmH2VMpYfD9OkAGzhnGJJWKrnfnmMLihZMcRsCcSQ/lRr/DRTcJUDtY9UgrJQkE+/0OWEMQ7QSML2Z854A3qX6PxCcRAEntWVJxGYUEA8UjvyHIleIRDikOhl2m3k/GoqgocuQBDuigEy1E5dw5DMfQySwWa6+HdvoCxYKGY+gg3Bd9dNaJBT8N36PW9NXBJX0GrDJXPYpA3e7YIWd3krz/6Lv3LQTBLMA4uVLEuhPFd8fJIx/sOwxJG+TjThVpjfTTSTuP7NJvJ2982wD2wFOqQ7CMbQkzLzxrg3RCKXLykQl20clMxt+jNegG4+ltcBIK59oPzHLA44dohUDc+8jzvD/oOPbT5xPOJE4p37kdJKuBNnnWlDthrrNu5z37wMEXuoajiF44WUVUm7mIs4vsOCcFhxNyQ4oTwpAEvsffQRiFuc34Agxch5kP66yzrVZffdtCyizXoTeVlZEucw4CZDdtpz977HGYDjnkZM2end8LTvYNUeiTT762MLZHHnm6jjnm9BgIzj/7wsIYeLYHmRK+3xbiwscaG+Rp5YsWRXuLWZ+rq6NnkL4bnpWCL9C//xq65JJHY7bGSdZMJp/Z4meAcHAdNsiBnAMwxh3dp37mEjbISRlf593WMcecIPW569ka6Di6EIJn7ye6Fa4pPn9DIs3lz3gB3LE12DcHftTPnHGy0r8n+4lnUHr0GFD4/sYbX9HChbN1zTUn6/33X/xWPyqVybQ+fLp//7XV2Fiv6dMn6sEHz1ZS+fOfj9DXX09QUVGRdtnlNBUXpwrj6T4N4wIYR3f5DL1w+8aYIJ+Q+Cgri2eXsZYhG/cT0Se3seif231/G4/7DOw/94MjXcdcp9FJipNMZH7QTid+amsbtcsuq0mSNtpoe732WnTYYFiKi0vU1BTtM/zJT36qbt366k9/OkeSVFFRpbq6Gm233f566qk7C9cdffSauuSSJ9StW99CW7FvfogvMkMG9IdsMF+PfZ6Gcg99vfYSL8sF5vfcc0/169dP1157rbp06aIddtjh+27Xv1SKiop04YUX6qijjtIBBxygXXbZRVVVVXrqqac0bdo0nXTSSRo4cOB/u5k/mBJGNMIFHMMHsJUi5oyJCxBikvmJ8UlsMp/nctHprw7W3JnHmDsQBCB4pBLj6gbf9337XiDq9sh62C7a7Km6oaPs8vGFmfbSTl8IMMIOWJ34wPHCwaZed/CdMPD6aYv/+ELtv/kuJFx4TlvMZ1LdSyrhuHo2RSjDEMS3RVRIkVMc1kMUMnRg0AnApAP/sL9OLPCdg1l/nke4wzF1AI3T7A4YTpn3KUzFRw48z/Xc9cqdR3SDz3BqSbsLSRjPvAGcAcroDzoHcHbnE/vhjlboFFO3R4z5vLg4OqgIAICzxn5sB4juSON88dohB40Ab0+JDR0H+gA5AIjjJOTa2nikIZx7Du788DYK44veMRbYAQpt5DpPNQ2JFvY4ehQjidwKwQb1A0zC5yArSAePQrI2SNFbT9BTbAFt5IBMZO0ZFU4E49xykJ1HA2ljSLB6pBFwiQ5B1CIT+pvJROCX7QQQSRBLvB3B5UefQ1LC7QMRVNcFnllfH+1JZhxYF5ANDj3ZBcwBlxH9LSuL7k2nI1CLHrndYe1hPrOOeP+QF2s7RBMERTYbHXwLYA9BEteGYNTXf862QT8AVblcdGhjaJexaW6DqdttOX1xH8XtFPPKwR5vQvD1s7k5ygqiHdhA7DvtYv450Q9B4wCY/mKznMwlg4B2e5YRuuH20gkHdIO5BkhifjA2zCH3JZg/jKUfVkaUGBtA2j2lR48VC7aqY8dqdepUrf79VymA+aqqSuW3qVQU7jn33DHq0WOI5s2bqbPPXkdLKqNHX/5tHxu0224nqaioumBz3Uegj+4bOkGP3BzkIi8yYOAbnAyA4Eqlovt8TcaGOunuREESUezzhXtpM+uVn+fh6wq2DPvCesZaywn2H3zwsp588l4dffQFKipq1oEHRnJeEpDfbbcjdPTRv9G4cS9p0023UllZWWEdGzXqeGUyHISbVSqVjoH52bO/1tFHr1X4f7XVNtZvfvOopk79SL1791FpaXVB350Q9fNeXPe8+IF9Uhx7tJfkslxg/osvvtCgQYO+77Z8r2WjjTbSHXfcoWuvvVaPP/64mpqaNHjwYP3iF7/Qbrvt9t9u3g+usGDiNPhrTBxoutMICMbhY9Iy6XCgpMgYkzLpwECKHBJPLXIwg2MBm+4g3xdZDGRdXTzqiaOOEcZJbGzMG3VPR6PP3BcuJP56r9AJ9kU3KTLO/x4dd6KDhcqdMydWvD4HoT5WXEfx78PiAI5rk8BeWBzQhBHcsLTFojr4CBnXkOCQ4qDRAbYDK3dmw/67DjuwcWfR28ZvdAx94m8HuMwbdNYjCWE6H2SZ73lz8OyOpDvEOAyeks0cDPVKipwSd/R8jnlk3fXFD/xCL9055V4ndHCC6C8y9n2j3h+PLNJv5qentToB55HScO4wnu4EuB3CDnhfQsKH1GpAHtdBwgC46CsgzCODAAZSz5GXkwmMj++3d10EUHmKqx9+FGZ4MAY456GN8D2aDi78ICg/uI76GWecWU6DD20Fz0a3cQZpK8V1nL6EMsa+u07QL8CxFOmIjz/kLG9HcLBJ+7ifZ9IHsndCW4zj6edPuN3xDDRkhy6wVhQVRacze398/DhUtqwsvm54VBGgAHlQWRkH9jj6rE+QMU76hdljuVwE0umbv+EC/YGAQC84eMszhaRo7JChy4b+QsBA4EGwkKru5AQ65MAHoOV2h3NveGZJSf5NFVI8G8u3FzkRzDPpj2erMEYOrHz+IcdsNtpmA9FEf1zH0XMnSxlbt9mUMBIL6eX/+1xGD5zYYJ551J42MD7ImH55FtS66+6gTz55VZtv/pMY6dLSIvXrN6TQ1srKila+Q//+Q1RUVKby8v6xzzt27BE7Jd/L6NFX65NPXtG55z4Ri2q3tERg3IlO/E7WDOyW653L1fWdvvBmlPBNGC4LZIWMWdORKfrgBf1w8oHnApbRK94SAqHGNtRUKvIj3DaQFXbqqbtKkmpq5mr48B1aHSzp5dFH5+rZZ/+hBx+8Qdtuu486darW1lvvFNuuQbujdTPdph9H+fjjV3XHHedq9Ojr1LVrb91ww/hCfZ4u7+vd/PlSly7Rdt2QsMZWuMzcP3Xd+LGX5QLzAwYM0Pz587/npnz/Za211tJNN930327G/0xxIIdT5un1PpkcJJNOixPHogLIZvHDIXCDSDSNHxZU/qYeFplUKlr8WSgrKlo/l/9hz3EUAO1umFl8pfihJx5BlCKn1QkET7d0xyUEozhh1OsOVVJ6swNSB80UBwFOKHjb3ImgfWEEh2uWBrjdqeF6d7q8HgeNLMAAF8Be2EdntlmYcUx8EQgdKI/eeqSFfjvgcDATRkScrGFcHSB5dEOK2udOA/rD/mGv251HB3ke5XZw7HOOeUW7eV6oI6EuhZkLzA0iS+50ozfsHQaMMc+kyHHwwy1dNu4kO/j0LBPa4QCjqSmflusnT/s8TpIhc8KJP49guW56+rfLxnUCXeOZHHZG6jNy8XudZPAoDtfjuAMO0CXqcCAEuPNILL+Janpk0W0Rz0XGyLa0NIp++nkOgADqdHvnDqPPa8YeQOPbJZi/2Frq9bnt88YJqZD8DR1fKSISpLw+kgrv0W2iWETZXK6eWeAyIrqJDrGP07Op0AcH504Ku/PPfPWIOmskbUV/m5ryjizEOVF2X6sYK982hr7xOeuV21RkhmwdALiNCLdq+L5e7EE2mycakAc6W1kZJ7Gw3x5B44wNgC264A45tsKj/hTWN2w7RAfAJlyP+Rudp81OqDGvABh+/gF6ADEAMYKOu12iDikiJX3OeMTRt4E4cPb55WSN+wXol89rl5Xf4zrOfb5G+LX0Gd1zm0aWTDod2b9TT71dzc3Nqqoqic3rbFbq12+1wpiVlVV927+sfVYWswH5e9NaZ50RGjv2PrVVPv30jZgtdDI7JDN9/N2HJYXeM3W8+Inxbhs8UOP+FecvhbYTnXA/FBF46n9LS/w1mtSVzUbbSGgX21KwyU7INTTkI+UtLVJtbQTcX311tF59dXSbMpXyY7v55gdqm20OVEtLnvQKfWiXF4GxVErq3Xslff31523WPXr0dZKkOXO+1hVXHKmhQzfTNtscXvApGC/k2tiYf91eqMOsE/gatMn12UmH9iItF5+xzz776I033tDnn7c9qO3lf7NgTHzhgUH0xSK8DucFZ4dIBvuC/DMOn8KQAtw9hcidT5/oGE0cAd+j6tHr8vJo8XcA5Gl8UhShpz5Sy6ibvnMvBtqj0M7wJkXBw+gqn4VspYMWZA2A4bOwbupy5wDnjh8HyeECklR8LLjXU7twJj3a69czHixAXMvC56DVAaWzrSxiXj/gnXY7kEGeDgQYD75raIhYffrpCyXyZnEII+C01aPuSYywt5+FPIn8oD53jsL0/zC6DJmF8+JgiqhfGHWAKHOHku/C+/ksPAkfB5o2V1bGiY7y8jwgZ27jfFOfOz4OAqX8dR6hDUFumFKLzQDIAGTpB/PKwQxj4deip2F6pBQ/1I+x8Ggw13J4GhlH6GhjI+mJkT0jnTmcw9hOdBUZ0CaPaHINwFWK5hfvX2acPNrh2QaegVBXl9/z7EQs/YckCTOWnJzzuVtZGfUFIIHtliL5efTdbTvrBE6fEwlkeHlEkMizz313vmmvzx/fX+rvTvY1xZ3ZcP1DHyATSI3ntxPAZWV5J7m6OtJ3ZF9eHkXcnLgD9Dsh6+sWGQeMC2PtWRn020kqHGd/NVZJSX7MKiri73fGrmBnXOc9W4Lf2IqKiqg+6oa8T6ej1HZk4PbGdcw/90wUyMVMJv8M1xGe4bYPG+QR/ZBs8fXIbTt+gK8HTpR49pTbUD7neb5lB5sW+j7hnKGeTCbyQfzAPbfnXjf6yhrAthEntFyX/aBilw2+mtvo4uK0ystLYlsWmCf9+q1qtqzy2+8iB8n17ZprPtGoUefpxhsnarXVhmlpBV2HWOnQISKXQjDHeDAHkRPkB7qFT8qcoH0+t5x0cRscEi6+nmBjPVWe+ry9HqRijjqpzHrrcxibV18vLVhQp2OPXVejRvXSgw/eoIMPHrBUOVKOP/6PSqcjwsrtm7eN9Qc7iB25+OLR6tatzzI967XXHtTNN/+ycK+TJO5/snb5fOHacA104N4O4uNluSLzBx98sD799FMdfPDBOuaYY7TllltqhRVWUAneb3v5f1GYUCwYLHz19RGwdZDpDguTz1PWPKovxfeIOYhh4vOb9EePfvKd78uUoudghFgIPRrobXf22n8XFUXOMvUmMbtubL399N0NEvVIrVlIB8sO3BwUuzNJHe5Q+yLj4InFJYwIeKTI66OtTljQdmed3dEJHXO+Rzbef4BEmPmAowg4cjBNXYypL6JO1rjzig67g+bgJHT++e1RdfrkQDZM7UKmPB8ZMW9C546UPXcI3RH1hc7b7/qAjoaEjEcNKMwH/44fZMXccL3zzz0LAYcjm40ceSn+rt6wDS4vz74AjLke0Q+fUy5nGHv0ADl55I2tP9gGsg5cN4mAEml1Msgjm2TfODHINTyLyL3vTfYtPQ0NcQeRH9rJ576VwIkE11EnO/zgOd9Hj3PEXHNQX1wcpZEmkWzMpZB4c/vGu+OTwGNIUDqBQTtoM5GqqqpIR+gfeuvzmTRhHED2jJO9wDwlWwy9IX0VXeO5jDNjQWQW2TY1RWcmYENJ685moyhmaLsZQ+8H8wfdRT89iopOspfdT2bnvIukk/dpn5fi4nzbw/nn6zB9It0du+drfktLFOXkHo/GM84ABAe92HDmDHJl7JE/euEOPzL0g+OY60VF+bH3dR59ZT4B/L140IG1gHuQGXINt02hx74dw+tkvJGN21nsop8tgKzcN3J77xFIT79HXugAsvaxyWbjvg1rvc9PorF+9gRjityxz06GYOfof+fOXXXQQb9VQ8NiVVd3/taORguT96lr1+7addcTVV4u9e49SEsqHTv2KNh35O1kLYSLFI09hKrbJfdVnPjgjRjIBJviBLb7GoyxEwPuF7Ku+djyGbJiHfH73A/wDAlfoyEes1npww/f16xZUyVJt956VqLstt32UB188EV6883HNXful5o1a4oOP/x8VVZ2Kugo7XJAz9gzN9Chqqq8jejatadOOulqnX32T5Y4dl4+//w99e+/TsxmOXnhfQ79ZA+E+Li2l9ZlucA8p8PncjldeumluvTSS9u8NpVKacKECcvXuvbyXyse2XBnjAXYJx1GwRc0X4xJyeM6GGU/oCeVivajOoPtiw/PJDWfBYuIFwscBgnjEUbuWLxDo89C5U4sbfA+u1wciEhxh8oBii8oOHVSZMz8HgfzPAfiw5/PNaFD7SWMnrmDK8XTy7g2JBAc5HkfHdw6UYJjQJ9x0ByYuY65gfbsBpwg719SOj0OssvcnTvaHILTUE4O9GiXO5jU6wDSFyUcd1/8cRpYlAEqUtQXnkV/w4g+qajIgLqJJDgJ4M4XjgvEFLrmJBPPps0hQ49sfH65k+r3uLOJQ037fK4iCwev7hA5GeC6xv+eDuj6zb04mqRHu3PibeU3wI7MDcaW5yJTP7VeivYz8gzk5sDL5UkklUiTH84FiQVY5BnoHmngjL2nmjroB1iEbc7loiiVZ7wQwSMTCkAnxQ9wckAagprQ2eV70p3RRbfLtNUPg0L3ASSMD/OLucPfzA/IMSchw+0CPp/T6fgZAS5rt4H87UDGddXnOODPo7aeoeP/85wwrd3Jcf/eMxV8j7wTNNimkNwmO4Sx8vUHkI7eYxcA8fQ/JIR8243bDWTp25YcpDhxkk5HxBMRcPQwl8vPKz9kk/Y70HWbj/74b8YN28O93jbO16H9Xq8Tuk4OO9DwuijMF9pNlgNy8wwpryesD2IL3U0C5aGP5GsnY8ee7NCv8cg+dToZXV4evTrNSQP00gnKPfY4vkC0pVLS0KGb6/77ry7IDN30dalfvyWD+Zqaucpmc0qnU8pmpdmzv9E11xyjTTfdXSNGHFXI/mhqyo8h9hF5YQsggxgXvndSIPSvaDdrMnNAir+Vgv99K5ST88jEz4fBxqbTEVHomUr4U5JUX9+slpaM3n9/rD7++DXtvPOJKi2tXKLcJOmkk65SS4u01VZ7F7bvYG+lOOnDd+5zQ1Kibx4sW2+9rXXWWXeqX7+Bamoq1ejR1+u11x7SwoWzE9ty7rlb6YILXlD//mvEiBN/npMojIWvLYwltisk6drLcoL5FVZY4ftuR3v5gRUmDcbaJ5Y7S0w0DBIOqUegcMIcADjDyeR0B9GjW3zHgsoiBHNOlMQX3RCsOxjAgIQHpTj4xsjzf8gYYpgp4SKCkZSiPnsdvviGxRddB+LU5X0NiQ53fh3sUC/9DJlOH0snKNyxRQe4FqPrhtXlTX0hOeFOMtfyLBwvd8IdgLsTJsWdFMac9rrDw32cNO5Ag/5L0b5U2uWp7P58+oE+0UfaL8WfyzO43iMFHsV2kog2ePQqHGNk4JFdxt7HmvYD8DyqzHP83Aqcb490OMnm+wDdCXWwk8vFI9UeQXNA7/rrdQI4kKU74w7cGhqiCEvoJCdlCBH19IM4Fy/OO4REunEQ0ckwkuyECGMIQKSvXOf64vt52zrk09ufSkXp8j6PsF9sZaD9UhzQO7AJI3CMB59BrhKVQv7Ydge15eX5vjiREa4VPgedKJUigiuViu/JRP+Qm0deQ8CEPofEE7L0VHCi3eikk3LoVEhyMS99ywDXYFc8e4t1z+2rzw/0xO2mz3sHuvxmjjhpSGaaFyfQyDBAb7ER6ATt9zFiTedad+79fq73NRq5u+NNW9BNALsXdII13slM2sBzw3nk4NoJUm+Ty9bnFPpNQf/dxrjv41k5tDkpm4UxckLHSQKAXGVlJEv0J/QX/Hm+3vNubj+HJFy73a7Tf/rkKdWum4B0yBTa4fbM73c9hwjyzMzNNttTJ5/8V/Xvv3ZMb9CJdFrq2bN/oY1VVV1UUzP32/amlctl1dLSrNraGnXs2EHTpk3Q7befoQkTXtaHH76szTc/KkZo4U+6LUBvq6riadqMm9snSConONBN173Qp0naxshajLzwL31rYnFxtCXK5zeZNCUl0vz59TrhhGGaN296oT9PPXWzTjstOlG+reK2zucMY+lZj5B3jLmTwrSTNiHHddfdXiUl+fYeccRlOuywy3TAAV3abM8bbzysvn3XKGTvuV8Q2jp/ZZ2vGV7CYEx7WU4w/+yzz37f7WgvP7Dizp47JThXLHCeisx3/qoPDCDOvxRn16U40HeA5VEnN5AYFCL5RBikKDVRigCKO1Z8Hi7o7pTQf5eFA9AkVt0dE+rzCI733R1zN2IUd0wdFPNZGAkImXkHBCGj706cO0QeAXcSwBevEHjxmTvW4Vi7DEM5MJ7U5ePk8kU/nE339vm5Ca6P6IQTNk4chWPjcnS9c0LDI3nU5amV3Es0gOv426O2UrTYu4MBUABMeJSBNvt2Addd5qv/+Dxyh9OLM/UAeCflWMhx2mmP6xsycIfSnXt0EdtBH30fJqcyIwuyEjxyi/NBxAmd4MfnnYMj/sc58WhkSCxls9E4uf3DEaJedMMdan576rPrqx946M/lb+TruoDu0AcAquspTqe3i/Y4mAc8+Xx2h9id9nB8HXTxw6vLGF+cWyf+cCwdfDgwZC7wHOY8OkeE051ACAEHnm7nkB/PCPvOieBs23AijfayLx676eDWnXzPPHCZI1MnNCB0QpDAXHVii3b4euGHv/mcRf4OmmkH8kPXAdnYESme/ePP5NDY4uL8id++LqXT8fdpo68e3a+oiK8v9NOjvOiwn1LP+DAf+UH33Wbie5SWxuetk1/YIf/fx8wzEJiHfI+uhtkF7i84yeE209sQAnUivMgrzCDgd1tkqNt5/x/d8PFh3rIGuX1g/LFD2FReEcra69lk6HxoE/IEWkobbbRnTE5uz/L6X6yLL35MNTU1uuKKwwo6m8tlVVJSpsbGBtXXz9P48Y/rxhuPlZc5c75W1669CxFx9yW8HdGcyqmpKVVYl50cd9lBahEo8vnoOu3El+uRv3bNdZQ5ypoIUcxzm5sV68uiRdK4ca/HgLwkLVo0W889d4uWVlzH0V3X9cWLozM7uJ57QpKxtDR6PWGYwSdFferbd4imTfsosT2jR1+hPfc869v7UzGfynEDuinF/XjGwPXN/dz2ouU7AK+9/DgKQInX6sC2s2g6Y87k99SlELS6kfBoI7899Zb/MRzchyOUSsXBDM8qLo7SHUkvSmKu3ZnCKWSx9P77QkXd4bWhA+2AP4yghE5GaEydyQ+dyxCE058wKkU7SO/jN890GfEdsuO3A1TvU1uOItd4f1zunlrozhsAw8EBTh5tDB2gUAY8z532JJDOM6X4IUKeXhoeTERxZ8X1wqPqfh3j4a8/8/kQjpVHI10GvuB7tNL77TLxyKFH3FweXOPkBbLxBd1BLo6Np4rzfCcUaK9HKJBLSIThsPt4AezRGdcrZEQJnS2Xu893Bx4esSovj6eVS9Fp6a4PODQc4EU7kuaHyw89Ki+P6zNjXFUVXcPvioqoDRwk1qGD1LFjdOigZ3bgoDGmYQaDX+s2Fj1i37uDa9/igC5il9ke4HaaZ7lDTR04ZE5YQqjU1kY2PiTQuAfCzCP2/uNRRrYM0Dd0FeeQ8aQ+P5yVz9ym+/gVF0fOL+1ArqyTvga6vH3uUTfFyTEHGV43JKRnw/jr4wDhyMsBBO2mfoAd8nHbBHnC2Pm8cGDvad4egS8uzn/foUN06Bg6zeGIzAuPvCFn2ujEEfaBtcTb5BFEt7tOwEpxm+HAmrq419c4J0VDstzHydeYtogpBx/IWIqvbw62Q91x34tnOVEbjmdI3DK+2FaejzxTqQiwO0HtsnT/yrMsMpnooEO+R+ewlW6fPLiSzUqrrbaRhg3bRr/+9SOFMerdexV16NBZUj7V/m9/O1lh+fzzt2NrG+OILOlLKpXVWWftolNP3VaNjdmCftfV5QEq/XZCFpvh27Swldg/t2c+v5ETNghb6XJgnWY+Z7NR3bNmfaqmpsbC+CWV5567vdVnq622fux/X/eoJ1y3Ie2czHMf3Ik/9NDtg5O+2azUt+/qyQ3+thx5ZFcdeWRXTZz4VsG++FhxVhLA3tsCQce1SdsifuxluSLz7eXHUdxBZ8Hgf76DzWbhYVH2hc0jMVJUF44Xn4WMMwbJFwWKg3QHir7Yh4uxL0h87w6wLwoYXP53Yw9gSepXCLQduHnxttIOruNvl4EDRup2sETxdoUA1os7i+Hn/r3LJYwcUjD67jx4wRmjPpeJtw1ZOkDw+pwgcYDmcnBSxHXL65CiCJBHwP0ad8z5G4fFZQZY9+dGjkS83+6geVoi+su4s0j6+3SlKNKDw4WT789w54P2hXPSgS79DaPb7szzG4DjQI7fyMzJHT8kyccVR8eJDH8WacJuD5j/yI628507Gk56uPPNmPPaOU9H94wPxoST+efNi6JS7C+uqork4CfLu7NK/b49yUEDttOJKtc7n1fYKN+n7CQXfXWiEUeSsfaotNsN+tzQkAdi3gaiUUTEQ6cOxwo7TN3IwNcK3zfsNt4PEJOi7QM4zvQL/Q9JQV4L5sSPEw6QM8w3d6pptxMy6KiDQtdV9NLHxuXtdhO58xzq5vmeiouOOIlNP33+QD4zD7ifA+iQKyRSuJ6g35CZpO17dhEkrxPFSbJi7vpBjhBM3gfslJ/ZgCxCm+9ru9sq9M7nCzIGGDPOyJE6fc2ifUta65hvbl+TiNdQPk7y+XU+D/weXh/p7QszngA3TjQxz5LIIu71oIgDVteRcC1x/WXO5XKtz3BBhtxHFgX9h3SkD2RMAOh9m2YuJ6288nq69da5+vjjD9WtWydde+2BmjPnG02e/KEaG+sLfevUqafmz5+hzz57W8OG7VqQh2dvIYPSUumrryZp/PhXJOWj2pWVPSRFEXS3NR4lb2iISDDk4luUnETw15e6rMlAo/A3r6UDpPLdO+88rosuOlCStNFGO+u11x7VspY//elJzZ79ta6++lfadddjYj6DyxodleJbFLFDYXYe13PYZFVVa0KAOd+nz+qS7ltqW++44wyde+4zhf99fZei4CEZX8wNIvehv9Ze8mW5wPxDDz30na7fY489lucx7eW/XBy0eJTHFzJnfN2Bw8GnHowbi7U70A7wHCyzOPh+J1/c3fkigoahZeJ79D50AqV4Hd5v+uXPdEdCiqfkOZvoDDrtdqcglG3S8z2i2VZxefN/0rglFTfqbZUQ6HudTr6Ezwrb7uPrToeDXR/7MJoaOiohMHSH2wkSdxZCJzskEdxpxmn1qKE7aaHc2iK5fFzcSfTFKKmP3o5UKopK0m5ntZ01d0eW630Rd+DsxIMfGEcbfQ67o+2gir77WCEfQJifH4DDxGnhHgEE/GazESjxsxOQH+1mfDp0iBw5oil+irMTfp76zQ/tAqRwiBIAx/vur0hjnuNIOth1mSFH7BGRSCe/3FnGaeJ+2hfqP/vhfQyRqYMVHEp3TnGQ3IH3uU4aM+CJvoX9cr2kZLOtT8AGtPBM9k3SFu73fnLIqadhIw8neUgDpt1SRBL72wTIfnCCgzZAUIURZ6n1muMkF3Uw7v6uZgderCXI0wERa5wDbiey/L32fiCcj53bJn44eAuiAdk64QVgX7w42ovNXGCNdtuB7jnB6Oupk2fI34kQB5DYD/wAJ9xpB9eHUULmfyoVfdfcHCd1eCZz3snvcI1xAOj9cdDqa0d49gEkqq8rrt/0Gd1Fbu7DMP/RJ3SUTAqvw9cV/98Jz3BNRFZcgw134hNb4eCP+erkCbawsTEi/0I/BHl5xgXZGug1+oEci4qkgQNXV2WltPnmu+vLLz/QE09cKy8/+clp+stfTtWzz/5VH374nA4++AINGbKF6usX6OOPn9OwYdurqKi8oOeTJr1fuLelZXFBryApXNcgIZAT/WasnYh0fZbyc4i1QYoySCELGB+PbC9enNPXX0/WK6/co912O6gA5CW1AvK9eq2ka655VgceuLKam/PM8aBBa6iubpHWXnsTpdMp9enTR5dddrvq6uK+D+Pgc4yxQtc8Iy6dzo8rugIJg7xyuYi4cEJz5MjDdf/952tp5Ysv3tHs2VPUo0f/Qp3INpuV5s+PsnlC0p550F5al+UC82eccYZSbXn6VnK5nFKpVDuY/39U3Dj7IkckUYoz9s7mOkhwQyhFjoovTp6CxkLGs2FTcRQpIZCmDQ5OwgilOxs4Bl5CcOULppTcH0oIuP1zfntdoaPkxRd5N9T0xZ2LEAR9nyUkRMKyJALBZdhWXQ7Ik54TOg8+1kklyfEE6LmTRbtwft1ZwgnhXmQPAHCSyxfK0EGUIjDrDoHf41Eld7r8+b64etSFsQ/JK4+YM88cVPA9kQmXs0eofCzdFvi+WUg6lxN/c4K1A1IitnyGvAGA7HXGuQLA+ViGjixRQsaX1FDAujsiTirwHfd75FiKCD4AFJ+FUS3Glb65TjnxEhJDdXXxPcGMjwNX30fukQsfK9+Xz5gSmfesCsbZdY9TqrG73mY/xRkdcv1vbo4iT0RWQhDlZKjrMnqJHCHTsO9+Qj3PYl56tN1Tr3Gm/fwM9MmzHZzg8jFkjF0OoUPskT1OrfasDNrI6eC+Bno0GTDg9s0zCpAP7eYHHXB7w3zkUMaQhEHH3Y6hGzzXz7agXegy/zO2zc3RawJ9bD3TwG2d3+t2zOc+z3OykLrDjIbQhocEgttflyvkCfqL/Bzs0w8Hqb6WIQ/PtHKw7uSR67ADLc+2gQjxrBvvH7JnXJmPYVaJbwPi/Ac/FwE7E/o0+EE8IyweAcfO0AbPNmKO+tYW5n8YMabt2LRddjlC9913lWbM+LTw3D33/IXWW29jSdLixbWaMmWcLrpoT9122xw99thVevTRa7XWWlvql7+8U0VFJZoxY6quvPLowv0TJ76pFVboVyCbvW8QfZB+tbXxQFJTU37toH2hb4r8s9noNXLeT+wh940b96pOP33nwvPvvPN3rQVtZZ11Nld1dQets84Weuutp7X99vvppJOuUzabVklJqmBnaEtIxNFndMdJHOYaa6GvOegtug9hV1wcf+1l/r5q3XjjbP30p92W2BdJuvTSPXTVVe/E5iz2nIwF1tjQr3N70ZbP92MsywXmjz/++EQwn81m9c033+jNN9/UtGnTtOeee6pPnz7/ciPbyw+jYCzcacKJdeeYxcDBuy+Q7Fd0Rt4ZUHdKPFWOBQjHy/daY3w8kubA3kkHd/7dsXbwIsXBkAP1EGSy+LqR4W+MkxQ9w1N6eWZbZED4nPAz/kcelLYA9Q+huNOytOva+jyUy5LqSnoeoAE5hY4a4yLFszGkOFkSbsVwJ8/TF9Fvd2q9baFO4cCFQJ1ner0Ognzxdn32+RBG9em/62ZSZD+JdHCHMQTTDgC5x3XYAR7yIsrsbfb3mRcVRSe4EwXm2fVRNmbBmaU/bqeoh8go48J9RGFcFq4XRHp93AG5OCREO5BzXV2UNeDOH4CptDR/DXoYRj7S6ejEene4cMj8YECcIScicCZJcwYsYOOoF3BDRNyjecgxnY6IFnfcnVxzAtXJEgcvOLf+BgV3NKkrTN/nHp+PDlIAeR4l9XXIdZ624xiGmS0Ogp2UQf8ZL492O4FBf1gzHZj7GsBnuVw+IgVxhaMNAQMAr6+P3szh8gU8YUNwkl3v0NkkMgl94NnoCvcnEYZSNCcdAPt4OIHBfS4nj9hnMhEhhE67/iSBf57jkW4O7oMkdFuKPXE7E4JhCA/sj9/rWXsOgNFV2oh9QsdcFj52Sba4pSV+cKHrMODM5cp8pZ1O4njmQBjd5LnoQugbhYScExj01bO6HLBDZPn6gN9WXR3J1rORslmpurqjtt32cD3yyHWSpB49Bujgg89VWVlrJ2nChFc1a9YUSdIHHzynm2/+hU466Y+69dZrYtddffVRGjlyV0nFsXWfdhOZR1719VHGSjodZVS5nN3W+FgDphlf5IOd+sMfTm3VjyWVhoYaFRVJJ5xwsZ56alWNGnWKMplMLCvQt7xJcdLX9cT9cWyLFLXRMxBcRtTpQN8zDfK6ETlK6623m3be+TT99rebt+rPrFlfFua7Ew1uByDwOdvE10Pa5yTfj70sF5j/+c9/vsTvm5qadPHFF+vJJ5/UffctfQ9Fe/nfKe6MMAF9IfTURt8j6Nc7aHWgTR3uXHO/FDlDgCFnwENj5QDdUxmdkQ8X9CSQGLbX2+YOphcnFMIS9t3BfFjaMlThtUlAdmlA+b9dvs/2LYsxT3qeR0gYexapJS0SfOd7TanPF3AH6ehkmLFCcUeY57pT5YAd8OMpmIDT0MEM0zadPMDxqK2NnuGEBqCguDgCh+7oevor8yKMsoZp38jBzyJwMOSpzgBjT2vkmrBPpAISxcXx5zvvm7fFt+FADtAXfy72iQO5fD85UR3kwdgBtgFN7Kv0iKVHMvmpr4+noPJ5SUkEwnm2AxXk7FFhADN/19VFbwHglHYnZMgAQDae/YT83a5WVOT1hzFEB3DS3d4yVwClPNsBnUeBkDnXeYq6R2U9CoU++TxwEslJKtoXkq2e1YA+EiEmeg74oq9O3jGetB0b4842h1GFNsGJQLdT/O9p6cjUgRbj4sQH4ypFKb8heEIGjI+33XUZ2Tv5hx3BFjnxyPWuS/gQzFHaj0ydYHBw5cQH67mD/FD/PYvEwUCYgeDv/fZ1AB1jDDxKmEpFaf1OYDjYQxe9j8iU76ib+/GTQhLL/RuKZ5E4MUCdIfnqxFT4HCcUnKySougyuoTs3VY6Yerkg79dqKIivvXCM2t8bz5922OPY/XYYzequblRPXsO+LaetMrKKtXQUFuQw5gxf1Fd3aLC/2PH3q1u3VZIjNpef/1p2m67gzR48PqxLKB0Ojojhf6zzoZvSkLubrNYY/yA1dJSaf78+Ro37iWtu+62ymRKC3ItKSlt3bgllJVWWlOS1Lv3Sjr22AvU2BidqeO6y7jg84Zrp9tcbzc6zBxxXePzVCrKKuSwOrbz+PwtL69Wff1CDRmyjXr0aPtQPH+1qfvj2Fvkz7pKJolnDrRH5qPyb+E0iouL9etf/1plZWW64oor/h2PaC8/gOLOlhQx6vyUlUWRBf+8sjI6AbWiIn7aMww/aVkVFdGrbfzkXK5jMfDFMFxYwxPTpega32vP50nA2gvfu8FzR4Pi4JDii78UT88N720LgPpzfuig/X+1uKOVBOpxnD2iwvV8n3SPL6h8Fv54VMO3p3gElL9DB9Of67oWOnmAIpxU6vVIVSoVHUbjoNTZcScOwqgchbkbyowF2skLbAV143RL8df9uTPlQCSMZGFTpCgjiJPisTvFxRGA5R4nN4qLI1vmwJdnEsXke/ZgYxMY6zCLAzCGY+SkUGjbkAXycScdG+ltqK6Onx3gh6PRR5w25FZWFt1HFKqsrLU9R18YD08r53vqdz31VHecP9c/tkK4/XbSg/64/fS5FhJyHsn1OtFP5E/7PZrO94ybR0ZxoF33PTrV0hKdn0K70FMiTswXIlF+6rVHkbnP0/iz2Qh40E/G1+efz2O3Yx7F9YwL5iDXYH/cprk98bUvtF9OLoQAHJ3xMfE54vbAi6/f1OtA2W2bk/fMcXTa5xS2mPH3PjC/XX9pnwcL3PdwcsGfkbS+0z/673qcFFzw673tLme3f06KeRvCtvB87mPcPVhBf3m2+1fIyj9DBvy4zaisjGdU0g9/Y0g6La2wwgoaMWJfSVKfPgMKhNjIkftq4MC1tOWWh0iS3nprtL7++mNJ0kYb7SpJuv/+q/XWW2MUlqefvlWnnbadZsyYWtDhXE5qbGwqzE8n4H29Ycx8O5pHidEx1plUSjr//FG68MJDdPfdF8f822y2pVXb2iprr72Z9t33mNiz0HHaIkWvvoOA8LH3MaHPnnmG/P2MEvrnNhM/wElYdIP2XXzxGzr22Ds1bNgByuWkq6+eltivSZPGx84NwY468UedZD3Qv7Z0+cdclisyv0wVFxVp9dVX18svv/zvekR7+Q8Xnzi+aFM8iuXX+GKBAcEoZLOR44PjENaBYyHF2Xhf/NzoeNQ+/I4+8L87JbQtPPwqqbhBccfdF2mXjQMeZxSTnuGRpKWVdjD//RZk75GJpRVf+Fk03ZGX4uQAxcGbgwh0DybcAWs43m2RAR59dmcOlhtdZGF2vfRItUeGvE5Yf3e+Q+c1dD69D6HDG85vj97gpBIdok1S64geUVKcJkAQqXwOuJuaogPA0um8I9ncHAEjgJM78sXF+eg2UTmctoqKeNYE40Z/qBNHGTtFKiFt4/VnrgNEHTOZKJICcep6yriVlUVyc1vqmQ70hYh/ZWW8nfQN/fRsBAdoTkz4VqMwKuSRXu7Droc6St99/qF72HX01/UojNQgpzBCzX2Mh68R6AJtcpIKHYVYoK/19dEa53rJGNAPd8LDcXPZ+VxCR5GnkzG0HX32OceZAC5LT7V3ICrFtzqErxP07AVkxW/ucdCWTrd+y4f3izo904e6WNvdXjp5wri4jXCbix54BoFnDCBv7AiRVtZ+t8/oiW8Zok764nouxQFOUnF5uO9B1NGv8fHkOrI5XA5tkbk+p7gGe+ljhw55Rgc6Evo2/jt8rsvP2+YylCLbyYGiLjve1EC20xFH/Fbdu/fVLrvsV1i/jj/+isIbAGbO/EwffviK5s79WpK0885Hq3//tXTPPRfpm28mJw+CpGOPXVtPPDFXuZz06KM36M9/PkuXXfag1ltvi9h6SzvZbhKCSeaTn+3g+jhhwpuSpMceu1UdO66gBQvmq6ZmgSZPTn4fuyStt95IrbbaMN1xxxVaa61NdPnlj0iKk28uTyfjfIwctPt2T98uEOpyNhtFzH3bFtf4vGTNq6vLf0b/q6t7aN11t7eT+is0YMAGmjz5zVg/L710hHbf/UyNGHGcOneuLMiVqDxAH5vir09k7oSE34+5/NvAvCTNmjVL9b6Rsb38vykYLCk+qTAmHrH0fWL+ei+iEb4A+LVMXJxjnuVtcFbaU4u8jc4k+x41d9a83vBvjzL45+7wuWPh17tDyv8e2UyKejhJ0Zbsl3ZNe1m+4o7Uv1p8oUxy7tyZC9vgTqw7s0ltdefQ7+dvZ/TD69xpQY/DqCN9cf329EO/1tPqQ53mXqIfDmqYP4AK/55oJVG5kLln+w6RI9rLPK+vj0eAQrKMZ3oKOc4DZAAgH6fH00NpgzsYPi65XHRIGvIiZd4zjuiDAyH2DldV5d+LjBMHkKNtPM9BWnl5ZD+l6BmAQ7ddADgfM+TnwCEkWkOATvFoa+jkh/bVCVjqd9Dt94RAjsL/HuH0CJvbZAdbSYAsCaygj0ngCHKG9Q198PkLcdHSEhFNrFk+dj5+/vYXdB/ihbagD7SJNrA+ha8CZGyQK/vpU6n4Kxs96kjbnFR3stG3qoRAlX6EZIpnZXAve9x9DfctOg76fQ+/zzUn9EPiz9uWZDsd4Hj2kM8HxsLnskdqk2ynR7DpC3975oO/etF1N5wnPs8o9JN2hz9cE7bDgZGvV953KUpvdnLI54jX4Vssfb4iC+Zjaam0cGF8b78U30JUXt5Re+11urp2jWQMAZHNSrvscpQ+/PCVwr2dO3fU3nufogULvtGTT97cWlBWnn76Xs2dO0t/+9vZkqTrrjtdV1/9vCoqymPZNcjPs1eQH4fd0S7m6XvvvaxevVYsPKumZoH+8pezltgeSTrhhCu0666HS5LWW28rrbzykFZBBXTBySv0BZljk5AT17puuy7QL2yK95mxYx47UQABDgHA2PpZLfn5ncxuPfzwJaqtrdWoUefFbEM2G71bnjXRzwjxzBHa2RaB9mMp/xYwn81m9Y9//EPvvfee1lprrX/HI9rLf6n4QuKLRVFR5Di4YXbHK0ynwxC5ceRz/0xq7Yy4Q4Uh8wXY20q9fi/fYejoD5+FIN8jNG6k/L7QSUgC2qGD6LJMWqTbKt/l2vby3UpbALut4t99FxLAF0UWUgew6ASsui+8TlT5Hkd3EsMMEXfiXK8deIcOuzvSfIZu+x5mruXHnVqP4Dtp4E4K89kJBql1No/LRmq9pxXwEBJ3fliUFKU7uyPkc9CJOqKVLiO+972xbtM8Ksh40Ta3DR799n28RCFwbFwPQh3ztvPjaY+0yfdDoxeuC35PmDYeAgLGhbZzDff4GCWBp5AADvdG+/zwevw5nkqKHnq6pgNMgG04Jqw/1ME65sQr1zrR432CNKEkrTdEHV2u9M3PiYAcCue56ziAG3AjtX67AwfMIutcLr7Vxfd7O5ECucR9PN/nnYNNJyt8DqJPLS3RHl6PJgK6ud/nKn3137SHe10nkaW/MtMBdZgh4vX6vEFvIVWcQHJfJLRlIeEarvFJxBDj7s/w9rju+rOTMvq8jx7J93nDZ7TFt/dxH9Fwz2aSWkfxsVNOIFGQpdt/bw/zMJWK3vzANiPve1FRlIUUtg/7nk5Lm266s3r1GqDp0ydLkioqqlVcnNLhh1+qRYtm65VXHlFb5Yorfhr7f+rUT3XmmbvqssuekSS98MLdeuCBK/XrX9/87TvU4yfzezReilLV33prrM4/f882n7uksvLKaxUyhIYM2Tj2ukUH04yfy8yLZ+X4Zxys6hFt7IKvWb4/XYpntmIXPdDmsnAyO/Ih2kbaH388Vh9//KZ6915fLS2pmN75KzkhzKUoau/652PxYyzLBeYPOeSQNr+rq6vTtGnTtGDBAqXTaR1//PHL3bj28sMsviBhSNw44GRgCJzRdOfLHYJwkfUoHP+HANgLC4A/j/qcheZ+d+D48bRHrvHiC2FSCjb1eHQlJCU8erGsadzt5d9XknRqaf+H939XIiYsvhg5E+7AwQFkGKV3YOFgxgEk1zCPPHLmDqUv5A56AA9et0f1uY7iEVW3FTj8OHWeyuvpvE5EuIPuTi/OHvcDinBOsDfcR/1OXkCSIB9P4w4jT24PHMgyv4lShg6WA3h3xp0s8TH0NtfXx0G4y8BtozvbYRQMeWUy8fRrb4eDBnfYPQvBHXPa7PILoyPoYkg2OIFKOx2EJIEmDg6kHsgET5EOU+xd15PWLAc5Pqcc1DlQRB8dGIbRIXSC+lwGTpzRP39mqGvuQFOn24OwT0lz36P61OXnbADaWK+5xkmkUK+QDzqIjjkA9Gu5zokgXpmHk848cZljK5Cxk1KeEuyvPPOsA/TM/RPXKQftLq8QEITzElm6HMI+hzaWcaura20n3fdwfwFfw+ULqAsBk5Ms3m5+O5HBeHjKONeWlsZfTenj6rbb7Ya/fs377W3x+9zOS/F5wfc8y+eRzxE+Ly0t1llnXa8TT9xFUh7M52WX0Wmn/U2NjbM1atSqhWedeOJ1uvban6utMnHiOwW7cs01P5MknXLKjrrrrikFe4eddx/V59OTT/61zfq9FBUVq7m5KfZZaWlFzEa4TLE3S9JPqfU5UOEWGkhhrnFiiTmJ3QdAJwUbGDv0tK4uvoYwR/MZc21DzWnT3tcVV2yvffb5g4YNOyAG1Fn/0+koOu8EJmQHcvB16sdWlgvMv/HGG0uutKhIw4YN0/HHH6+NN954uRrWXn64xZ0gKXnyhEAYg+2MnhQZRL/PF8GlFV+Ik9qJo0KdDpY8KyBcmHEcwkXQQRXRhtCxpy3uYFG3OwFuTHlm0mLcXv5zJQS3TsS0VXw+hHMiHEMcLr/O9cF136M5oVPdFrHlgMuf6VF8B08OxLgvKZ04BOYefQ6jZ8xpopwOEJLa7w6bFHdmnX2HHPSINfO5oiKKmNAXrme/O5EGntXcnE8ThPmnTn8ewBYnhn7RfmQEQHZ7RloqYwmYpg4HhC4fnFjsE6n0ri9t6YyDSydPGWOPgAKewmwl/vaMD8BYSIi6Y++EBs+iX673rgMh8en6E+pIeC/XOIDjszCyCtlDn31NgNTB0c1kolfDYbu9Ph+DttZCJ2co4dtfPF3YHXY/hAu98n4iFweq6LrPw3AdSlpv2vrxV2v5+sVn1JtEiDOPHMhL8ewQnuEg0F9vxnNDG+ckWRKp6Nk9fq+DxBAY8RwnV0LdCf0RX+udXPN0ZtcH7K5nxYTALKyf67wtfk04LsxVJxH9Oyk5q8GfHwJ27BFj5yn01M9nnuEIGKSfPj/dLrmOue2DaHF9CdcL7Po662ykTTbZUS0tKXXq1MnIh5Q6depe6F9RUYm23fZAjRy5h/baq1/h88sue1Knn7594f/LLz9YZWWVhf/r6mo0der7uueeP+mDD8Zq1KhfaKONdlFz8wLV1jarsXGxPvnkXZWXV2vWrCl67bXRWloZOXJPbbfdvjrrrP0lSX37DlZ9fa0GDFipYG+Qp9seZIP8HGQzZ52EJsuLceVwPojwpHOqGFNfc5348TW3sTEiB8rKIkAvxQmqffb5na66akfV189vUyb33XeCNtzwAEnRGTLMZSeAsKOu/+1lOcH8mDFj2vyuuLhYnTt3VnG4urSX//mCQfUFL2mB8+LOvxRn9FlYQrC8LABKiur0+5fUXv/cnc3weeFC70A/7K9HTByAtVVCZ89BvvepvfznCwuhOxt8vqwldLyWBrjdyfI2UIcXj+o6iGurH0mgI4zWugPo+szc9Gc7Gx9+FhIf/AZAJc1nd569Pb7fkjnldQMAPeLo0UYOn0uavzil6XQeyDuI9747sAxBC5GPEJzQXh975IpzivwAFzhbDrJwgnG6KIyTpzKTFutkD3vuQ0ffSUiXqTvu3j5APN95FJ6Cs54EYtxh96wIj2o5qEjSEQd0SQQo7XSw4CSUp5qjO+4Mug77muTrgo8b4+Bjgn55xJf2ev893Zt2h8DHD0JDfqEckW2SPFxPGDuybFyn+d7lHBJBvm6H0W6ifOH34RwN7aHbB89w8/nC9z5/0EEHxyGRFJL01AuZRJtCYikE8l7C9lCSgLfrr68lXo/f4+sLPw7w+cz1xMmlbDZOgACqnMgIM054NjIJ55KPkWeHIDcnhajTI6gcYIdcnQymePDE/R5vn49dmK1Av6I+pHXRRf9QXV0c6AJWL7roVl1++ak6/fS/SJIqKiq18ca76NVX86C7srJLbGxee+1RheX447cs/H3DDWfphhuWvv+9rdKlSy/99rd/VVOT9PDDXyqVyqmsrEItLS1Kp0sKZ1ek09HboNDXcBtSOh3Ze8hsxiTc8y/F9YJsOx/zcA46mUgmjMsf/QR4p1L5bDLIOdrXt++quvDCz/XLX3ZdomyuvHITHXPMY+rWrVMhEEA2WTabXw/5m7kQYogfa1kuMN+nT5/vux3t5X+gOFgNFx0piniwgPnp0xRnFN2AJBmc0LHw4qxkUju9Do++4EB4hDyJ4QsdJD7zaA3XhKmUy1qSHDEHIN8FRLaX76+4bv0Qx2BpOhYSET5Pfa45mE/SxaRnho4E1zv4Dx25Jc2NEAAC5j0rxoFVSIZVVsb/d2cvBHrIxSNkXJtORyeEh5Fi7g0Bo78xwyPpOGJEd8OTtTOZyEkjsiG1Bt8OugD9AA8pfjYAdigEAm77pPip1QAKJ088G8D1w793PYAc4HkAiTDbIAT3ECG0lTp9jJNIBgc9yMwPEeMzJ7McqIaAhvZLUZ8drPv64cCKNoTP8nnHNhI/UCqcC056hZFedBjHGRLE55cTTj42HkXzeejXMP6AnpC8Qxe4zmWFTHD2nfDyOegZPOit99VtFeDMwaCfBeDzAyBIP5nTDla4B6DhsnayA1/AbYbL1+2Kj10YhAjnU0jMu36HxADtc/Dt2VROPCE73vAR2nRshROtbvu8T6Gv5M9ibIuL4/vXyX7y+/lxAsztqPfT/6Zd6B/3kxqObvqajI54FoIDO2TGGx623XYXbbDBzmpuThXs9vnn36LzzjtQc+fO0sCBA3TUUb/R7bdfoVGjTtKMGV/qiSf+8a1OlqiysqMWLJilDh06a/DgdTRnzjf66qvPVFJSpvLyKi1cOEfNzU0aNGgNde/eVx9++KrWWGNDNTc3a+bMaZoy5VP167eyfv/7+zV69C1affVNCmNQWVltoLq4cJYL9ty3ELndQd8bGqI56QQtJI/PSZ7pcweSNcl353nU5T4R4+H2h/qRO5k3UYZGSqNG/UF3332C2irTp3+sV165UTvv/KvCuDKm9fURaYWueHbZj70sF5g/88wzNWzYMO2zzz5LvO6BBx7Qm2++qUsuuWS5GtdefpjFGWd3zpjYnvbGpAsdK48GJoEId0ak1uCAZycVXyj9/iTGOiQSvH/e5iSHVGrddo8ULKssl/R/e/nvlO86DstD5CzP90t6TpJeJqWhORvvDl7Sc33RdiDj34epuB5JYC440A+zXMI+OUgK++3O49KIL68zBK04dZ4az3t23cF3p8iJBeTn4NWjGA7GQ/LEnc4wyuDPov7y8viYSZFd9YipRx89dRVZYJ89Gk0bXAdCJ9llhMyJ0uMIJjn0ni0hRW31E9aTAJiPeRjJdfCWFPl08Of3OxDwCLkXB2yuJyHZxP0uD8Y7jJg6YPZxd5AcPh/nNySvnHRC71zeLpeWljwoIAIHuPMzIbx9Xpzw8de0omMALJ/fEFhhhgbPdP0lk8bnA7KE+HIwSvE2O8Dm/zCDwscs9DO4Hn3xsU8i9h0Q0a9Qbl4P4xmSwm3ZPOoMv2P8mINklTiw5rwDn+9J/g3zlr+dGPJ7Qlvr/fHx94yP0P6GNjkM3jAezBt0jDke2kTk71lF4VYMny/uX+a/SxXsXP78i5SuvPKOAnjeb7+TtM8+J0nKt+fXv77228yklBYskNLpJpWXpyQVfVt3i4qKUmppSau4OKdcLqdMJh2bg1IExnmN21FH/brV3HZZ+tsl6DfXuP9MO508cRvt9Wez8bdOQHC53FgPfbyT/Azmp2f1pFLR21kgmJwgcP1Zd9391bv3EM2e/aVuu+3I1g+Q1NhYH9M/Mg+cVEA/GGvWox9zWS4w/+CDD0rSUsH8O++8o4ceeqgdzP8/K+5gYFh84ZKiiISfIJy02GPAQ8fdF1R3AnxCL6248+SLFM91Z89L6HSGC+LSZOOLmEcIfuzG5odelgawv2tZmq6EKYZJxFJYHMw6G853y0oqJJFISfeFUYEQdPvfITDxuRaCB59PDpocmPB8KTr1PYywukzC+e1RVQCKpwZzb7hH18mHEEx6e2kP9srJxtC+eBTV0+C9nyHIcnkBiqT4Xkqp9WugHLjiUIWpugBG2uk22J1276enrgMuID/cwfI+Ia8Q0HnxbQJh/2mPy9rBm2cSuDPr+uhzxnU2JD084sVzwzFJkhef+fORP3VyTRh59WiwZyr49g4+4xT78N3oLmfGPJeLsj+SCBNk6OPikVCXOa+FRYc8AuiEjM9B6nMdR2d9nvt4hqQiwIi3APA/67P31QGUj334jNBuhP0P57frotsF14nQV6H4XvJltdF87zaKemhvSPJ4ir3rj8sTuSAr+uuZk8gWIiXcosLfnuVD9BViASAK6IbwczIXvfaMDU5ZR54+lp5d4UQk7WEuEBGur4+/7pPsJ9dfKZqvvlWE/5ubU4X/O3SQUqniGJlSWZkx8iWldDpVmL9OqPp6E64L/Pj65DbBdcnfcsH4pdMReHYCkLHHJnrmVyaTJ4czmagvFN+bH/rpjDfj4uQg9qK8PH7AI9vdnJwvKUmpW7d11anTILVVFi9eoJaWrNLpdKGf6FBjY/ycKrfpvkb9GMtygfllLU1NTcr8mKX7/6iEDnMSGJDiCy7FFyYWIj/1OXTwqUdKTmVrq2A0aK8b0RAkJTl7Umt23yMeXAuj723xxScs7SD+/3/5V4mApCjPkr4PoxEOKv0ar8cP1WmrDaGz69+FjjnzN/w8bHNSpCt0sD1rJrQDTsaFxQE4JYz8S1HKs9sxbx+yc/k46MA5CgkKbEE4HiEYx44kgUCXlwPDMDLK5x6RCSM3jIcDdZxqnEyPFgIiw4Ph/Mgbnhmm+0pxwOtpsqEj6GDanVXu8+J2OQSZ3h8p0pskO+1jRQlJGtcrPsMBdkDq656PYThn+MwP/0Lm4WF2Hhnl2nAvs6+RnrlBZM0JpCLz5hxwO3BHV5LAtz8XOYTyQQa0y0l8z0qh3vDMiSTSxseZwmFdPjdDvUwiecLsIdeVpOLXut1oy56HWS1LujaUG3/7/AuJyZAcCOtxexsSaK6ToU3mOSEIIjPB39bgts0P95UigOi6yNiUlsbPi/BtE6S9s83Rdc6zhcJtOTzTD2qjH7TBM0fcBjrwdLIL0My1Tl450epkqM8TbDIRYR9DwDVjVV+f/7yiIpK7k1c8x/Ubu++vYvN1kH6Ett7JPwgC162KirhswrU1SXYA9pDwCwk81keXq6+byBIZp9MdtcYau2v8+IcVltdfv0XZbJP23/8PrfSM8Zbi77Z3MvfHWv5t3c/lcpowYYI6d+7873pEe/kPFp/8oXPjE84dYF/0QmffnRgpbojben5b0Xjq8oXHWVYp7sD7YsFnbTHtUtzxCp3GtorX315+3GVJurusBT0KAQqfL8mh9GhgWFgIcd7CaKQXBw6+YPtn/O0svxS3H+H//hlOSirV+mA4r8v/TrIZzNmk7Bq+d8LQnY/QkfW5jAPDddznr9XCRoaAJbRPDogdVDsAc/CTJHMfx1DeDpCwtf6aorYAshQ5kyFAxqkOASf3sLfWo14OipPkT/tCnaBPOINJpG8Irr3PPp5eH9+FOuFOrG8d8D46qRLO69DhRl7+eZgKixzDQ+/COZhE2nikzPvoayn1h+De+5o0Fnwe2hfXRQfM4R5qr9fXynDd9fmeZHPos9flwMwjlb4++7XLUpbnOgfP/pvrXHYhCRgSTD5fnRQLCRu3K+HYFBVF7/wOfSm/FiBKXZ7C7b6T98sJAuYc2zhCgCfFfT8Arj/DdQSQDzBmbvmBhZ5p4Knbvl/bt3T6vb5NISR0XXfC17Xx+kSi6x6kKiqKDoOjj1Kkq2Q4cC1kidtabD52IlxvnEDhUDkn7ZxI8PnNWIfZV657+MVOLKXT0QGK1EmGQxgoc/nyv2c4oBtun3w7W22t1LnzQLVV3nzzDu299x8KbSMDzNfQcC79qz7W/3pZZjAfvlv+xRdfbPN98y0tLZoyZYpmz56t3Xff/V9rYXv5wZTQEfeISpgix2dJEyxcOD2lyxk8rzupYLzDfX1SdDhU+Mxw4Q0d9TCawbVJDvSSijuLy3pPe/nhlSVFdcLS1lgviaRaUl1LK22llSUtdEmOpRQ5i54K2tbzPc2Pa5LAduhkurMRRhRCZ9zBlz+HfuHw8p2/4zcEEjiEtN1l4aCP/3HEHHiF4NH75G1xx9AdJAdwUmvQE9qbkGxkfCAMwrZQB9+FESwiUV6oyyNhbqvbAhttgWnAqAMD13kABHUjE7ePDsS4PiRDQj1z8OH3ehtcxmG6M3W70+sOquuSywHAFepdCMQd6PC/zzVfV7g23AJCGz3615aNCeWTtI7yTOpwIBmSAUnPaMuOhWutE1XInuJvg/B+uv77VpJw7W3LNoZ6K8X9D5dn0r3f5bOwv07ahCnlPm5ep+tYkm6HBBjXuQ0N5yRzi6iuA0sHckk6SKFuz5ZygswPjHTgH+pgSN45+PRnApYbG+Og32VIanU4L/2MCvdJ2eLp24CoD7sHwGxpie//93UD++hZSbS3sjIP6AHr3jfazBhwyj/zjT5AmialjiPTcL31uesEBM8jmp7N5p/b0BCRxE6GuU1OIgjCQJu/ZlZqff6GkynonW/FCte7ESNO1uzZn6qmZqamTn1TYfEzP5gLjY35/nCOjBNc/L20QNv/17LMYN7fLZ9KpTR79mzNnj277YqLijRy5Eidfvrp/1oL28sPsmC03OiEBtOdOVjKsDABPfrii4AbfXdqeIYbcHecQ7LB2x2y66Gxp4SHynzXEjop7eWHXdpyYP9ddX8f1y7p/u9CIi3tmQ6sfG5z75Ke5eAuCXRQb9gWB/Z+Tei4en/DLASPWITRMu5xQOXOiqezu41xEMzJw6FD7Q6FO7yAbZwmj/Y4EPA2hqRCaO98D7sDBrel3neeSxSG54fAAZk5YPBUfJ7nZwngMPo2qlA/PDqX5IQ5qPVrPYrLdw6Ww/ENQXASSHDSg799LQtBmwNzl7P33+XnOgPREJJVfi1rmq+rIcB2mftP+PwwK8P1wb+jMFccLIX7jENS3NfNMILnc8ufvTy20EmfJFvj2Rnef9cJl5UDI7/P9cP9AtdRdAfZODD29G/vt8/dcG54XV5/2JfQn3HyyNvuc8efRTv8WX6QInJxfwyQC5BzQEi7/E0Irodui8LXWobkkRTpD1FuPuPQNZdrS0sU7QY0hnPCD3RzGwxR4faeccFPRU7s+3b9cR8Uew6QRlb0g6wDZADx4CSoEwW+JcB117MKIGOQA+tQRUU8GOZzBkDMmPk89vUF+fA9snFiKNwqxjPRA8708HFAvvQlnZbKyjpon31uUyaT03nndY3pdmlpVYz0QJc5ZM8JCT9Lxufij60sM5jn3fK5XE7bbLONtt9++zaBevu75v//FwyzR9hCRyZkad1R8miHO+AYQymapL74eoQIoxgaH0ro1FKP72sKnXsK/4f7jrx/SUa3rfJ9gcL28sMtS3M4l6UsC6v8r9SfBKzC75OKO7khePWypPa7M+fzdUnpcW3Ny6Q2JZUwIu/3Jt0Xgk/6QzQxBI/l5XHnxtM8PZrFM90mOWnBvX4dDre3IUzH9vRTt0fef2TgxEcIJsMUVY+oePTWQbVH/dEJj2rTHj9FOXS0fPw9ahWCVP/fU0ST9NeBuq9Tfk2oh3zupS1SxPU4XAdD0Et7PHsgydH0dntbwzY4WA7njeuN65rXg7yT7EeS7QqBsBMdYT99jQ2f73rpepQkBylOwrXVjqT/vbhfkkpFYIq54N9Rl+uzj6nrXyYTT7FuS5be7rBdtJnD3/Az/E1AblN8Hoc66CSdj20YWXWiiOcT4cSf8nRyH+9cLp52DljlHeBSBPj9kMOQ7AjBP9uTnOjNZuNRbQenRMbd/klRW5KCPS4fB/jIixR3XiWKrpLxCeiGWHAypKwsvrddiu6HwIA8cNJVyt8fvjddimfUhHMytEO+lQzSA71ywhgCOukASj9c1vXL9Z56nETwjC36DbnhGTVFRfltAp7C79Awl2s9SRYvrlFTU71KSspj+u/bQ2g/n4dY4MdWlhnM+7vlTzjhBA0ZMqT9ffPtJeaghA6TFHf8ANAhe+3FJyMGNGSvkxaltiYwDgOGyP//rsAryckPF+sfa4pPe4mK68n3TeKEUZi2vv++nxs+z+eOPyuJGQ+BY1iXO9hhSZLlss7ZpMycZSkh+efPTgKBHjF22yS1BrAOzsK0bwf1vicbAMFvHDHsKvfzuadrOhkQ9i90Gt0xwykMzy1w8tKBlJ+3EIIHPySQugDlDtBdRkmRY3+TiYMwB7phdCkJDC6J/KGEcg+JGV/fHOAmRYjD5yWB+RCktaX33r+k7SUuj5Boduc8rLOttjk5EepAeL1/liRfd/o9kut6nXS9FP/OAYpH+9ty5l0f/TM/CI0xDqPEPqfCsZfir0pzOTiAdEIn7CsA2red8B3PDPWA+eJzycGzF0Bl+OpAnsMrxPx1kdznfXESjdPimffhdgneGuLyKimJP8fXjnQ6Tyr4PmsivaRZ+wF9gMbKykimbqeQNeDbwaufv8BzSkryfUJvk4JLzIPi4ojAQJ7YYbcRThSQxt/cnAfvnCaPTJ1E5Xk8O5OJ5OJj569wdJ3iOvrn9tltpJMkrj+hzjnx5XPDSQpsf/jaQ1+nfI89r1Kk75mM1K/fME2d+nZMd+fMmaoePVYpnMMCaKd/3O/62hau+DGU5ToA74QTTvi+29Fe/odLUoQnZPfDlMLQ+UpysNzxwFhjIDxt352I0FFxksGZbm+fR4SW5NgkOWHt5X+7uAPwfdQVAqfvUu+yXvtdrvsuLLVf29Z97jDjxIXgIwQM4TP48c/amltJfQiBzvdNXEjfba4nAUvvo8sKW+TOjqet4mSF5AF/L6ld7qg5meD7OUMCk79x0KTkFG4pnikVRoc9otUWCPXvkt4AkBRxRzdC8Of6FcrZ52AIwnA+HUg46QP4aUsnXYYh0bMkhzLsf6izLk8HmCExhmPsYN0BI9c6CM/l4hlm4dwL++OAgGeGwBr5OGj1z8LDuZgX/gwHCB5ZS5K7pyInzXdvh4MeSvhebB9fb1c4R0IdDgkV5MM4AGTcxwG8hASXRzbDtx/4M0OwHvpL/I8ue7vCcaVenuWRXNfNkDBKp+MRceTmP4ypExx+MCiRaCfveKafEC9FkVzXPddvUrn5nHMC0A/IhFC/Hdhia/kpLY1OSMeOhGcLMHYAevoyd278cEqeW1cXpZjTP9Lwpbh9c7vrOuHbIXwrFTpUXh6Nkb/fnfFavDiaQ/66uPBcCvSBOvwsEdcpXkfo8ylpHXNZef3oBXahuVk68sjHdN55PeWloWF+Qc7cE9oGXjvottf19sdUlgvMh2XhwoWqra1Vrg0PsHfv3t/HY9rL/0BZEkOOkfMouS9SIXMYOvIhex4+M4k592vbcvwxWkvqy78DMLSXH0b5d5A0nvmxtBI6jksrYXvbAt5tAeGk69wZbqtOd4j8+3COuQPFb5xUj6QlgZUltT3sQ1v3OjFHPeFzuY6+hmBoWUuSTQn76cWdDgdXfr1/7vc7MPKovkeqcaLDPoZEZkhwSpHT5PU6gKAN3gcHqAAJPmfcpThZEMovBOPeZzK6XH6hrnrGFqRASDBxL5/zbuZQR3wPpr+f2etLmqteR6gTIYESlqS1J5Qtz2CMXT5J9/u6FQJSv97nAL/D/oXO8ZLmXBiJ9u9og/fZCaSk4vokxQ9B8zoAQuhKmCYeEo9J7Q91m35DhoS2MbQzSaQcQIYoqM8jJ5UoSeQH5IjPQwfVPmYu86TgBr+JrKfT8QPKkvaeA+SRhwM3v0aKzhDxMfOIMfPZ7ZCnbzN/Q4INGTAGZWVxYsOzLJB/qJMud7IV2IctRen23FNamix310UpHgl3OXM9bwXx8wkaGvK/eQafIz90zkkfZOlZAYyLz3MHyosXx4kLZOO21rNf2ULiUfuQvKKv/PaxTKXipAbgH3KA55NpwQGALS3FOuywB/X3v+9ZkN1NN+2gU075SOXlPVuRRK7X/nrFJdno/+9lucH8rFmzdPXVV2vMmDFasGBBm9elUilNmDBheR/TXv7HCkYmaZF2g9PWQugMvBQ3Js52S8kpgPzvkSgv4WfhQhoWXzDaS3v5LuW7gPPvsviEjnZbIOG7lNCpX9Jzw2hmeA2LaXhNCPqXxJ57lClp/i3p3hBMhc9KcqB55vc1ZmHkLum5FJdLktzCNvr/HskLX1sWRvlCUtLlFO6nZxw96ueRPgdK/hnFbTP/J52BEjrBrB3+FgKv09cAJ4FdfmE/Q2KJ4q/W4joHNV53uF6FY+OAMgSuS9KpELC7zMJ7nbBO0n9/bltrWfj5ktZpl2tbJEUSSZbUnxAIL4kg9ywMjzS7PJP2tvv4hft9vR9JW+S87rAOl7kTA3wX2qkQUJaXR7rN9w7u3afhe7dFPo9DYsTnjOuntyNMg3dgSDq6y9TnI68m85PSfXy9/9QBQcB75x2AOmniY+Zv1yCK7UDTwSZyTyKQfAwc9IUkAcBZiiLzHKoXEhfYA9dhn/PeJx8nJwkgdYhEO3lI25zcoO9+tlNDQ1x3nFjhOcjfZcda4H52qCv+zLKyuI75mQiQDE7cIlMyCFz3sPkQQpy74BlT9HPAgC20775/1j33HFPQr6uuWl0XXjhLqVSqkOGSB//RYXjeFg8Q/tii88sF5mfOnKl99tlHM2fOVM+ePdWlSxfNmTNH66yzjqZNm6bZs2crlUppnXXWUVHSRsj28qMvoWMQGl4vGAsMQJjWL0ULTfg76XlhuhmfJTngXNde2su/syyvji0L+E76fHkIgND5TSLKkoDdsrSV792BTfp8We5dWvm+5vPS6gkjmEsCQ1yfFGXlWv/t94Ry9yhdGMVNAopJJAZgJgk84sj6595XnF+cdE/nlOI21nUlBM7ulIWRUX5wHsP6HCQ78cB1DqDcsXTS2OUVtjGUg7c5aaySCICk/7nnuxB8DiTacmDbAvhJ1yVF3kMAILWeo22VEEw7IEzyAxzsJdkBxl1qDXoZSwCTZ1okre8OrByshoCae8ItLC4TxgxgBDj1foYEmX/u89iBaqhHLh/XG293UkmqJyQHQ/3jO/Qqm01+lSPzkAP1QjAPQIaoYwx9niOzcEx9n733xe93sA5YDNchT5kHGPr4e4TZCQ9/3advR+B7P1iO7AHAqx8Yx2d1da2BuxT1k7Y52ZHJRK/CA6CH54v7vnnq9EwLxtWJEidC/E0rISHE3GCMWFvosxOZtB/5VlZG8oXkcPLA9a28vFegs1k9/fQl2mGHswoyamjI1wExgL7F79OPrrQx7Zdc/vSnP2nmzJk68cQTNXbsWI0YMUKpVEp33XWXXnrpJd12220aNGiQUqmUbrrppu+7ze3lf7AszZFIAvAh4y5FTGCYiuULLPWFKWfhYhkykyxMbe3Lay/t5b9V0MckvWzLefMSRlP8b1+w26or/DzpumWpJ7w2bGPSmRsexQgjAuFn39ePO3g8y23Rd73f+9QW6HPw5mAc25QEyJL+DyM2/jwHFFwTkgAhWFnS+LmddafcnUdKkl11mYYZCU4ohNFQ7vX+8Tz64HJ14OXtwMEMMxhCoiWUIZ/hxPq64uPV1hiF4Cnst9+3NMfU163wc9oUznn/HbYt6TOuTQLZSWVZyDcp2kPse4b53GXuY+0laW752QuABICK+wK00/XPAbGPpUeIPS05nY6Ai1/vbQ3rC2UAkCIKHmYOhMAqSX+SCDn+TyLi3E60Rd4k+UZt9Zuf0tL8jxMo/nYMfyZRYL7jeik6VI2D86T83+HBd9hlT4cPyYAkkgUCwm0WqeikhNN2n9dcS/8rKqSqqijtP5XK97+iIv+7qipPcJSXR9dWV0udO+d/iory3zH+ZWX56yoqInm6zKgL+fhYut1yvaYf3v5QN31eh0DbZZekj8jN7SOZHN6vsrK4XEP7mh+Thla6+Pzzlxfahq3w1wjyv8+HH2NZrrD5iy++qL59++q4445L/H6DDTbQzTffrB122EF//OMfdfLJJ/9LjWwv/1vFjQVG140NJYxyeIpMyKp+lxI6kPxOWvBCJ2dZoyHtpb38J0tbuhnqdNL3DoAooYPndXuUMekZ4X1JJXQwkvrT1ndJYCYE90nlX13IkwB2W98vS13L8pnUNmgLAdOS6gxllnT/srYnjDJ7RNPrDgmCMALrpa1tGWHbPQJEW1yPfB6EffZ72DfaVvul6HscUydePDV1SaQGfV0SYF8SEefXI4vwWW2tSQ48k65JIn/4PMzSSKojjNy5HL29SXbAr3c98f3RIUnPMwFpXi/6Fb5D28eLsfa07yQgDMAL++L646DN54ITYdTjtjSMaCfJsy2i0wFUKEeXUUj6eQnHgXaGJ5d73SFJkc1GB9Il+WjU6/2SolR637Pt1xGd9vfDM16+7QBA7IdZen1Edxl73yKUy0WH3/m6Fh725vvdeW4mE+0XD8mXTCb/TF6v5tFpZOyvhuM79nn7GQX+7nqyF4hiZ7NRG8hyKC6O0u3pn5NdPp98jH3euXxopxSP7jNWnoXBvZ69RJ3I3/vFnn/u8X5ymB1p/Lxq1Q8EbGhYqKTCoXzUyw+v9iM7wOffj60sQ0yndZkxY4aGDBkSVfLtKDeySURSz549NXz4cD3++OP/YhPby/9acUMIa+fspi8ebhD5HgbW2UdnF/2HzzDA/s5SjKR/trTSDuTbyw+1uG6GEYi2yCp3Bpe1bo9wLGne+DVtXZd0jUcG/Sd02PyepMhU+NzQeU+qq632tPW8pJ8kGSXdnyRb/yypnSGo859lKctyfVvjmaQDYeS+LcIjvD78POnH63CggKNICSPpUtzRTpJlmCLvf+P4eZ/DPgFCPVocysnblSTzkFhx+S2NaAnblkT0kDHyXfQjrMPlkGQnwvmVtF77Ws+YNDVFjn3S+IU+gOu/gwUnGVxnfLxY62mvnx3h14fj4b+51wGN61QoN9dD70+SXWpLnstS/NnhvArltjwlBPZSPAKfdA3ydhDvGY1uV8Nxd0IktB/4avzGbysrywNbgG8qFUV+aS9yICuANnmKvM9p9w+5188+cCKbdvNaOzISfC+5g1opviU0nAMh2cRzIHt4FV/YDmQEyRESciGp4YQY7faxamvtdt0Ko/Ou72FAgDcCMN5ONuCbl5VF15NhwO9USho4cERrJZU0f/43sSyM+vq83BcujP7mO39zxY+pLFdkvqqqSn5yfXV1taQ8yO/Xr1/h85KSEs2YMeNfbGJ7+V8sbTmwUtxIYdB8ccTwJjkXXO+Mo9fli8WS2tJe2sv/clnS/Pp3PuNfvSaJbFhafUsjI/6VfodtC4H4v1qnl6ToedK9YfRsWev3Z4TXho5z+H9YPDsqvJ57QqAT1sM9pGAmpRhj73Eqcci4xh12PksC+g74QoBKuzj12AE160xS2/0gV2TibfH2h855WJKi7f67LRl7n5PkJ0XyCqOU/9fenYc3VaZtAL+TNOlCWco+bAMCKZRVEFkdpKLIZ0FZRRFQ3BXXGRe+AR39VBwHEREdVxTcBREUcRQGQUF2RFZFHZZSEBDK0j1NzvfHmSd5c3LSpmm6JL1/19WL9qzvOTkJed7nXUqi7h8s82+2T7D7pW6jHlvNuqrnUpv0mmUUjeWUf9UBx9TX2Vg5Is+BPHdm1ygBiLxukuEzPtvyGqvvBWOwF0qFabjU5zsY9RqNGcpQXitjsG0W3Kn/qkGiejxjIG9sTg34Z1Gl7GZlNGbl5Xdpai2BrZxXKgDkuZKgVw3WNc33mst7XCq11My6OqibXJtUIgC+Y6vZYjmvWmGlnkt93uX61Rk11BZB8llo/JyW/ujqZ6b6mhkrx2V/4/SIcm3qQJ+yrVyDOjif8R7I66W+V9T/P40VQHJtVqsvI69W6khrA7u9IQYOnIY1a57wexZee20wHnhgt/czvKDA1wJD7r36f0MolaWxJqyPoD/84Q/Iysry/t2+fXsAwJo1a7zL8vPzsW3bNjRq1KicRaRYY1Z7rdaKy38aZj9mtb7qlyjjF0wiouog1IoC4+ej8SeUcxi3NS4r7XjGz1mzzLr6xT5YpYN8lhuDJrXFlHoOY7ZMLa/6pd5YGSzr1fsnX17VAFL9wqoGP8Gy+GbXZMzWG69f/b/MeBx1u9Ka76vHlf6ipWXhw8nQG4Nntf+6WumhBnxqE2w1wx9qedSA0Xi/JVgzXqtajlDeB2rLATm+mnE0vseMrUbUY8kzLM+n9AWuDGqGtCTqtRnf62bUZ8sYCKnvE+PniLEyR963si7Ya66eL1g3CGOFjhxPHSPJ5fJVYBmDZ9lXKmXU6f/UZ1l95swqJ9T1ZhWW6vUbPzvU61GzycYKuOJi34B2brfeZFwdMM8YpBo/r9QAXu6r8dxScaLO1S7vL7WJu/rZqQ4eKZ+b6ndyqXAwdpeRVhHSgkF9TdXXLyHB1/pWxkSw233jJ/Tte3/As3Pu3FG/zyO5toIC37WowvkcjHZhZeb79OmDBQsW4Pfff0fDhg2Rnp6OxMRE/P3vf8fRo0fRtGlTfPrppzh58iSuueaaSJeZiIiIYoAaiMvfZhlP4xdX9cusGuDJv2rfT2MAqB7XONqzKlgLMQkW1C/B8mVTvgQD/kGrWh71i6lZAGQMwNTMtDHrZJbdVq9XDUiMAbRxH2P3A1mvfuE3nksdgNI4eZH6Rd54bjW4U19HYzCpbqNes9pfXpaplQrG0b6FmkAwHjtYAFza32URrKVAWQSrPAN891FdLkGZcftgFXFqAGxcJllls0oP9bhm5VQD9WCJFzWTbtzfOJq88b2vBrRqpWOwzwcJXmUfqUiU65TjqH3W5RgS9KrnCPa+Uls6qRl8i8UXxKtBt5xLrahUKyfUcwh5/6llUVsGqPuo4xHI+dTPEbXizjhOhTpQpPqaqJVe6nXLNjJ+gPR/Vwc+LCz0P4eZtWvnYMCAu72VHHJs4+C0sky9xpogrGB++PDh+O233/Drr7+iYcOGqFevHh5//HFMnToVb7zxBiwWCzRNQ/v27Tn4HREREYUkWMsqYzBuzBoFCwwA/6DcGOg4HIHzI6uBttrkVb7kA/5fatUvwWqGUm3SqjYRN2brXa7AQNh4zSUxlsF4DWqz2WCVE8Yv/Oq+6nK1ckDNlptVTKjZXmPmUD2WWQZSlhsrIiRDKAGW2tRYbQ5ufA1kX2MG1vhcqWWqKOUJ5EM5tjG4NLuekmaNNmbOg60HzCuiJNuqlkeCOWPfevV+yzGlVY0cX44p6yQgBPyb2qtZeuO9iI8PXK7eA+Ozox5bvQa5JzLtm1ynBKxqZYCaQZdrke0lm6x+hqkBv5RTPqNkvTQ1Vysw1PEq5F5I5YT63lfvu3pv1dfV7H0nn7UlvSfUMQfUzxq5JsnGy9R06pR+8vlY0vtixYq/oXfvKYiLsyI/X+9rL03+pdWBNOOvyPdXdRVWMN+hQwfMmjXLb1lGRgZ69OiBNWvW4OzZs2jdujXS09NhD1Y9SkRERDVSsEBB1pW2TJr3ltSk0iwgMcvsxcf7z1utZnjVTKQaNKtZcjXzqQZS8mVZmgXLF2wph3w5l2a36nzcankliFD3U69FrtEYbKvZKvnbrFmyrJNg15hRlO3lvhQV+Qc8anNoOa7a9FUtb3Gx/oVbzqEO9iVBjVom6RttrFQwdqtQy2rssmdsSqxek/EajceobsKp4FH/Vvc3O5YEY/J7sGMGe9+pXRcAX3Bst/ualatdJ+U1UDPc6jOgttJRn++EBD2jKxlpYyCvll39nDC+N9UBE43/qlls47OpXoe8N8yuHfA1Z1c/Q2R/oVaGqf391co5q1UPYgsL/buLSOWCsbJCzeyrQb6UzVh5APiuQ95zkkE3VoLJ31ar+Wen+gyplS12u2+OeMnMJyYCeXn6svx8oEWLfjh8+LuAZysv7xwSE+sC0D+DkpJ8nylFRb4R9WXE/JokrGA+mGbNmrFZPREREZUqWMCkBmPG4FvND8gXU7V5uDFDbfxdtjM2d5bMGhDYPFMNEMwyzyr5Im62nQT26hdotbzq1E5qH2EJkqUPrJotC5Y5k8yhGkSoWUz1X7WPq5RPzfzJl3vjl3b1GMYA3qwVgmToZL16fvU8slzGVTAGHGogZDyP8bWSMpb2rFV36j0KhxoYGu+HsXVCKC0T1OcOCAyepLJNrVhSA0jpX60+t2oFnQz0ppZJ03wVb1arbx52eT7UijKpJFKnqZRjyXOsBuLyzKtBunFwSePzaaxEk0oA2UcqHKRCSq1UkGuQY9psvlZC6n1Q1xvHGTGWV600k3Ko90edD15eQ2OFj7yv5PNDvUa1osVYEWR8n8t9No7hIK+7Oqo/4GtxoLegMH/Ijx3bhYYN+3s/a9xu/TNTbYEgrS0qsmVNdRSRYL6oqAinT5+Gw+FAvXr1InFIIiIiqsGMXzZlWbDt1C+zxi+pso0075TtzDK76pd82U4NPIVkBI39XNXRutVMprH/rPqFXAJkYx9ddX/jF2s1k6cyZvTknOq/wjjImfG+SiBhrCxQyyZf8KWFgXFwRLUSRO2KoL42atASrIm9bBsXp3+JV++LWdnNstHRzCyQL+m1C0YNrswymBLUBRvY0Pj6mR1DzRyLuDhf0CYBqRqIqs+q8RrUSgDjcrVyQgI62V6aXautO6RCScqt9gtXyy1N+uV6jC1C5L1klrUGAudnV++FGpSrGXa1kkEq8IxZfHm/yXWoz7pcj2xvHKtD/VxTnwMjNbtvNh6A2b7qcaViQr1euTYZvV5tBSD3Xh9AzzyY/+WXr9CpU3+/z0uz5v/Gz/+aoFx1ku+99x6uvPJKdO/eHQMHDsTf//5377rly5djypQpOHDgQHnLSERERDWEMfsElBycBNte/aJvbNqrHk/9oivbGLNfalBo3EayZur81+r2xsBeLY9ULqiBj/FLv4z+rwY76hdadTtjX2W1wkL2kXuiVmqoU4ap/YnVgEFdJ1/KJVsoWTu5Hpk6Sn09jGVU779clxxPsq7qtchI2eo9Uu+xxeK/TWnPTU1j9nyFen9KCvyEWQsYoQaaauBubHFRErWpeLBgTX1fynOuZvbVazH+AL5nWR28TY6nzikv1yv9tdXyG4NrYyCvft6o71P1moz99dXKMPVzR60MEOqc8urnk5RPnX3A+Bkl1PumXotZRZBZJarx80X9/JAfaWrvcPjuiX4+8wdh48YX4HZr3goATdMr9WQQQbULRbCKqFgVVma+uLgYU6ZMwZo1a2C329G2bVv8/PPPftu0bdsWK1euRFpaGu64446IFDZUmzdvxqpVq7Br1y7s2bMHOTk5GDFiBJ5++ulKLQcRERGVjfpdLtRmxeoXabNRjNUv+MH2V49h1lTVWDbjtsb91Oy6OtiW2oRYDWLVIMH45V+OZ9b3W/5W+x6b3QvjdGryJbu0bKhQM5jB5uRWs6SS0Vf3VZu+GwdSM2Z81aBIvSY5j/q3lIl81EooNTBUBWtSb3zOQ3kfqi01Stre+Jqrr7tZlxlZbpYRlved2hrG4TAf8FEy3Wq2Wparz5M6cKPZMyjBojoXu/H5VEe7l3KqQbw0FVdbJRgrKNQKD6kcU8fmUFsRqC2EzGJh471Qfzf2z1f3kXIYu7WoLYyMx1SXS0sj9fNCrWAA9GtLSND7y7tcQOPGqdi/f03gRQD4+ed/o0uXwX73My9P/5FKAWnZVJOEdbkLFizA6tWrcfHFF+Prr7/GZ599FrBNamoqWrRogW+++abchSyrjz/+GPPmzcPOnTvRuHHjSj8/ERERVW9qht2MGlCqWapQjqt+iVf7uxqDXrUFgLqNmkFXy2AWZKnZSFlm/KJttr/x2tT7YKy8CJbJNH7JN5ZXPa6anVMzi5KxD5YxDhacqJlNswqcWBbKc6g+b6Eex5jNNm5jDKZDLYvaUkXNGgc7rsViPr2gtNqQ36UlhgS7ZoNiqs+inNdYsaWWQa2EMlY+yY9afmMLF5fLfx/12DK3unpOtcWQ+tlhluU2vt/ld6vVl+U2fm4Y75+xj70o6VlR35vy+hkrzyRgV5vlG1teqN1sEhN9Mx8kJ+uvYXw8cMUVf8WAAbfimmsWBZQjM3OH997IOB5SSSNZelGTmtqHVY+5ZMkSNGrUCM899xwSEhKCbteyZUv8+uuvYRcuXOPHj8eNN96I8847Dzt37sTVV19d6WUgIiKi6k++XJZ30CT1y7cxYyVfrM36eBoDcWOfe7NstbHsapZczcQatzcL0lWhBGZquYNl9YGSm1Cr97ukypRgYyaYZZkpPGrFjPq8yGtkzOiqr11JYxKoLT/kd2OwbZzGTC2TLFfPoZbN2I9c+uSrrRDkuJKRVwNvGTjNeO1mTdzlPenx+PcFV5vIG7Pfsl5+1FYsZvuolXAyjZv62WHsl2+WaVfvSUkVkOpnnloRJ60BzLZXzy/Xo75OUhlZVOQrn4xhYKwcUrsWuVz6yPTSoiI5uTauumoGcnMDy/H1109g6ND7vQOGAv6zY6jN69VZLGJdWMH8wYMHcdFFF5UYyANASkoKsrOzwypYeXTp0qXSz0lERETVjxrclrSNcbuyZHaMgasxCJHlJZ1fqE1IQ6EGOsYv48EGg1L785odq7RzqwGGWf9UtWKjpGBCZVY5EKx8VDYlvZ7BMviS+S6pkquk10MdpFGOJ2WRAFv+Dvb+VCsXjC1N5JilvdfUOcwlwDTrdqCOSWHMjhsrzYxZd/Vfs2fW2JJEsvjq546UT353OMybjAfLuAe7f2bkPMbxJYzlKYm899VMv/rZpQbycl/UAF+tgCko0Jvaezy+GQCCBeLq9JbyI3PPx8Xp+8fH16zMfFjN7B0OB/Ly8krd7siRI6hdu3Y4pyAiIiIqN7V5bSjbAb4vpmVtpqx+0TY7n1nTfrNsu9lAfWo51WxasLKoX/CDZfPN9jE2lQ+2v7qP+q/xGoIJdt1mLRGC3QuqWGaVLsaKp5K6qhjndRcSSKrZ3tJaxpi1EFCbz8ugatLcW62ck4EXzZ4jY7nUoFz9USsE5F+5P+p9kLI4HL7yyI9aLqksMbaEUAULaoPd77II9n4q7X1m1upIrlP2V9/D8lqr91Ad0NLh0AP5hAT/ATJtNsDpzAg4f0GBxztmgdqcXx3rAPCNW1AThJWZdzqd2LlzJ7Kzs5GSkmK6zZEjR7Bnzx706dOnXAWsCnXr1oU1Eu+UShDs/hNVJ3xOKRrwOaXqrmFDPqPk33Q9lK+rausJtQWE7Kt20TA7ngTbalNwNThTp34D9M9SY6ZaAjqzoF0CVrUcMjWcWUsNdeYFY/CpdgEwYyyDelxjk35jZZg07ZZt1ebjKrUiQZ37XJp+FxT4BrYra8BpzIADwSsd1eXqMxBsewmQQ+lyJM+A2+0LwN1u3xzw+pzxvntgsehZ86IiXxAvgwCqlTrSGiQuDrj66jfxf//XyO+8//xnfzz88A9ISoqHpgG1agF16gD16unZeYcDSEnxH0vBTCz9fx9WMD969GhMnToVDzzwAJ599lnUrVvXb31ubi6mTZsGl8uFMWPGRKSglenMmTNVXYSQVFU3BqKy4HNK0YDPKVV3fEZJlCeYNwvkSgvmS2Lsr6w+p2qgLIG32udcLZMEhhLwqn3Lpa+92aCOwcqk9sc3BqdqIGy2Xl2nlkOmoZNm6sam6rJODeaNFRU2m286NTWbHWpQbxagV0QwL4F4sMBemtgbx74oLNRf47w8/0DdZtObw8vrIkH72bPAuXP6fvn5erCfny/3L7CgJ078hM8+m4Yrrvhf73Fyc/XtExL0/veyPFgwH02fpaFUOoQVzI8YMQKrV6/Gl19+iUsuuQQ9e/YEAHz//fe4++67sXHjRpw5cwYZGRm49NJLwzkFevfujdOnT4e8/YIFC9C7d++wzkVEREREFA3KEvxVNLXptJEEUsb+5WbM+rGrzdLVgSHlmCUF82pWXQJy+dsYwBu7drhcvvNKllidgk76i0swbzaYo1kXFnWdVG6EO/Bmac3hja9HqM+M2nUgWAsGod5TtWuSVMDIwHjFxb4ftXLGatUz6XIvpHJDKgLi4oC+fe/F+vWz/c67Z88XyMj4XwB68C996NVnxWxmg1gV9qycs2fPxuuvv4558+ZhzZo1AIADBw7gwIEDqF27Nu655x7cdtttYRcsIyMDuWZDGQbRsGHDsM9FRERERBQN1HEPokFJ408EGzhOpTaDl0HUgOABvdmxjOMzqJnnkvrRG0dJN44jIZUMpb0Wxu3CGQvCrLIg1JYUxgEmS9vWrMWCSm19YPwX8J+C0GbTg2673X/6OCBwXAEpo1SiXHzxI9A0GzZseNa7z/Hju5Gfn4/ExMSAOe9lRoNgg3/GorCDeYvFgptvvhmTJ0/Gnj17kJWVBY/HgyZNmqBLly5wmE3iWAbTp08v1/5ERERERLGougbyZgMiliTYdZQ0dWGw2RjKEsCp5VSnWQvGbJR6dQA2IHiFhTpHvRoeBQuW1Wb86jKzASPLorTXRM4bbDv1mo0VC1JeqQiQMQ8kQ2+z+bopSKsGGQQvPl4fR0Ay9fHxvukE9eMFXuhHH92BSZPe9B7P5fKdT45fVOTL9seykC5xyZIlaNWqFXr06BGwzmazoUuXLpwOjoiIiIiohlGnKCwtyDQGqsGmpStpujqz7UIduM1Igmy1ibjZudR+5CUxZuxlX7W8JSnLmAXG7Lk0+Q+3oqe06yupqb7a5F6auKvZeuNggTI9nwyOp86kkZTkG0hPn4s+P+B8O3cu9b7mauuJYOMyxLKQHpmHH34YCxcuNF03ZcoUvPPOOxEtFBERERERlZ/ZVIaRFmoAaVYOs33V4A4wz8arg++FG8irv8uUZ2oZ1H7tarAbbOpFNUttVqbSylmWpvdm20ay+4XaJUCdRs+MWkGjzj0v+0szenXcAVnvcOjrEhL0ZfHx+jK5vuLiwGBezin98N1ufeA8+TtY641YVO7GBytXrqx2c8lv2bIFixYtAgCcOnUKALB161Y8/PDDAIDzzjsPt9xyS5WVj4iIiIioMpS1b3ZFMsvulpaZl3/V7HioQZrZVHWh9NNX+8arU/kZ57s39s9W5zcvTyAp/cfVjLeZihwMUVpZGLskBNtWBglUm+urAwfK/ZPMudrv32bTg3lAbx6vTu3ncpU8hprbrffFl6n+1Dnoa4KY7Elw6NAhfPLJJwHLDh06BAC48MILGcwTERERUY1nHLysMkiTdjXTrQaKxv7hRhJclzTYXbA+9CUFembdBCSLHGxO+ZLOF26rAfX4pa2vqMEQza5XbdovzfrVjLz6mqij9qt/SysINciXwF3+lT7zcXFAy5Z9sWvX+6ZlVCtbZMo/KZNk7u32CN6Uaigmg/mRI0di5MiRVV0MIiIiIqJqLRLN78PJEIcyoJtkeI3Ns40DsZll8oMF8sFGrzer1CipokMtR6jXX1JgH+7rUFmVMFJxIa+F2XmNU/5Jv3ePxzfgnQTZHo8vuJd554333moFevS4BjZbIpYtu9nvXPn5vmy8x6MfUwbZk4BeRtGPZRXYe4aIiIiIiGJdRQaUpWXS1ey0MRg0/qjbqcvUcQXUdSVdm+wnGWn1X/mRbYKtV5eV1hqhOlDLVVLlQ7AKEBmxXm2KL1l0dX54eR0cDiApyYbu3UcFHMvj0VBUpAfuhYW+SgKLxRfUhzswYjRhME9EREREROUS6QDUmGGv6AqD0jLrapNyESzLrx43lFHiS1JdA3ug9OnxzOa3t1j0/vEyfZ2a8Xc4/Oent1p9A+NdcMHdfsf+9dcV3kELi4p8fedlmrqaIuRm9tu2bcPUqVPLvM5iseCpp54Kr3RERERERFTthdJ3O5zm+CXN8R4ppc0Vrw50V9b53cOlDsIXjRlmdRYAtTuEcao+tSuFpvnmmY+L04P7/Hw98O/V6zZs2TLHu+/Jk4dQWOirGCgs1Ke1y8/Xl1X2OBBVJeRg/uDBgzh48GCZ1zGYJyIiIiKqWYyD2pVVRY7UrgrlHOGWozzlj4Zm98EYp/RTK0FkALy4ON/I9ep+gB7EJybq29nt+k9ych2/c5w9m4WiIv/gvbAQKCgo33MXbUIK5mfMmFHR5SAiIiIiohgSShbbLOMc6nR61Sn7WlnToVXl9Zo1mw9Grcwx9rWXDL36Ons8vgDfZtMDeIcDyM2V5vf+vcPXrXsednsSLr74AW+f++JifX+1mb0MwherQgrmR4wYUdHlICIiIiKiGFDSvOjhZuzN+qNLMB9KsKb2iw+1siBUofS5j5SqrrxQ73Vp912azsuo9YBvkDtpXq8OOigBvfwbH++bqi4uLvBkq1fPQO/etyMvLxnJyfoy6TMv2f9o655QVjFcT0FERERERNGmtJHkVaEG0er842UN8IKdQwZgK4+qDs4rmsXim1derlXmlJeAHvBNT2cc0T4+Xv89Ls68mceyZfd4s/ySoTfOOx/LGMwTEREREVGVU6eHK4uKzIqbHdsYxId7/ki3EKiugk0bKK+1TNNnt/sy8vLjcMiPDQMH/iXg2Lt3f+LNxMuPOqJ9rPefZzBPREREREQRE26AGm5wW1r2tTzZWWOgbnasympiXx3Z7b6gvLS5543UZvYyor3F4gvq4+L032Xaussum4qJE5eZHlsN5tWsvNmUgrGEwTwREREREVWJUAcnKy3INwvYSgriQh3FPpYDwUiwWHyBd0mVMWb3UbLycXG+wfUA/W8J7GWdHuBb0KpVv4DjSJ986XdfXOzfnSKWs/MhT01HREREREQUjGRXK5P0lTaObC8Z2WCVBR6Pb4A2oR4jWEa3qoJ7uc7q2ixfAnPAPHhWB7mT10WCbbvdd19lgMT4eN8ytxvIywue/c/L07dX+8u7XL5B8GK5QobBPBERERERRSU1mFfJ3+E0sa/MptnqeUqqCIn26dXUPvJut38FTHGxPle89HPXND3Al4qLggLfqPZm8vKKUadOHAoL9b9lO5fLF+Tb7RV7fVUlyh8LIiIiIiKKVuXNNKtNu8sawEtQWdqysjILvKtrRj3SSrpOaQ0h20lLjrg43zJZLiPg22y+SgDpP2/0j380RlGRLzNfUODfzD6WM/MM5omIiIiIqNIYAz41YCsLY9BsHPCsrMcMtRLA7JgymJs6QnsoxynLNHzRJlhrAukPL/fLbLlk7dVB8KxWfSC8pKRGAcf8+eevva+fxQLk54c/FWE0KVcwv2/fPjz55JMYN24chgwZgmeeeca7buvWrViwYAFOnz5d3jISEREREVGMMBv9PJxg1iwQNgby4VYSSNnMAlJjECpBuXEAOHUbs3LI9hKoxoLS7ru0fFAHzFMrQBwO3/1Q74vDIfPNA7173xpw3LfeutpbmePx6P3opWInljPzYfeZf+211/D888+j+L+dEiwWC7Kzs73rCwoKMGPGDDgcDowbN678JSUiIiIiopgQSvCqZmiFWdAsf8u2xmPLYGvGoE6Or55DPbZk19XB2ozblTQoXbDg3u2OneDdTGnX5vH4KkTUrLkxuJdjyWj2EsxfdNEd+PrrJwzHLEZxsd5PPiHBN9e82tQ+Jls/hLPTypUr8eyzz6JZs2Z48cUXsX79emiGd0e/fv2QkpKClStXRqSgRERERERUswRr0m5cbszkmu0jfbDlR+23rTaRNyuD2n/beMySgkRjFh8ofZ9oF0pFhUwlJ7+r90kNwG02fRA7+QGAhIQE9OlzS8Axi4v1H4tFD+Y1zTcYXqw2tQ8rmJ8/fz6SkpIwb948XHLJJUhJSQnYxmKxoE2bNjhw4EB5y0hERERERERRQG2RUJYWCBK8SyWLtKaw2fRse506vv7zGRlPB+zv8QBFRfqPx6MH9BLEM5hX7NmzB+effz5atGhR4nZNmjTBiRMnwioYERERERERRZ+SWi0YBwc0/i1zw3s8vjnn1YHw4uPNBxiUEfDdbj0jX1DgC+rd7shdW3USVjDvdruRkJBQ6nanTp2CPVYn9SMiIiIiIqKQlDRQoQx8J1l5ma5Ofk9I0P8taeaDs2dPeAN6wBfUx/KI9mEF8y1btsTu3bvhLqGKIy8vD3v37kW7du3CLhwRERERERFFP+NggBJKSvBts/kGqpPm9TL4nXGsA7sdSE//m9/xly37s3cQPE3Tjx/rc82HFcwPGTIEv/32G55//vmg2zz//PM4e/Yshg4dGnbhiIiIiIiIKLoFG7BQ7V+vzj1vt/umr5Nl0txegvqLLrrb75g//rgMAFBY6N9MX6bDi8WAPqyp6SZPnowvvvgCr732GrZu3Yr09HQAwOHDh/HOO+9g5cqV2LBhAzp06IBrrrkmogUmIiIiIiKi6k8GspOB8MymCVSb3Mu2ap946ffucOhBvgTmZv3m8/OLkZAQ5z2HZOflJ9aEFcwnJSVhwYIFePjhh/Htt99i27ZtAIDNmzdjy5Yt0DQNffv2xcyZM+FwOCJaYCIiIiIiIqr+LBY9my6BdLCpBqXJvbrebteXu1z6NpoGJCYC587pfeHNwsx1617EVVfd4834y1zzzMwbNGjQAK+99hp+/PFHrFu3DllZWXC73WjatCn69euHbt26RbKcREREREREFGUsFl9/eLPsuDSld7t9ze5lFHt1JHpjv3mHA0hIqIOCgrPeY61f/zKGD7/HO/idNLOPxaw8UI5gXnTo0AEdOnSIRFmIiIiIiIgoBpll5dV1cXH6HPHSRx7wNb2X0e2No9o3atQOmZnbvMfJyTnmzeYXFwO5uUDdurHbzD6sAfCIiIiIiIiIIkWCeDWYB3yBfny83vQ+IcE34v21174WcBxN0+eYl6BegvhYDObLlZnPzMzE1q1bcfz4cRQVFZluY7FYcOedd5bnNERERERERBTjJHtvs+mZdSBwYLyEBL3vfF4e0LRpG4wZ8yYWLrzBewzJwsso9tJvvoRZ1aNWWMF8UVERpk2bhs8++wwAoJUwmgCDeSIiIiIiIpI+8cbwUZbJj2wnAbw0q1cz9Dab/ndycn2/Y/3003dIS+uHoiKgVi1f33mZfz6WhBXMz5kzB59++inq1q2LYcOGoU2bNkhKSop02YiIiIiIiChGyKj0xqBasu8yUJ4Mmmez6QPdSVZdRrSXZvgWC9CyZS+/Yx0+vAedOvVDcbG+3uXy7ctgHsCyZctQp04dLF68GM2bN490mYiIiIiIiCiGGeeJlyy8Ok2d3a7/Lk3nJRiPj9f/LS4GkpIS/I5z5swR7yj4kpWXQD7W+s2HNQDeyZMn0bNnTwbyREREREREFBEy7Zw68r1k6QG9Wb2m+QJ/q1Vf/8c/9vduv27dbLjdHm8wX1jo638v/8aKsIL5Zs2aIT8/P9JlISIiIiIiohgmAbgE7mbrAf9+8+rAeHa7r/+8jHTftetov2Ps2PEZCgp8/eQlUx9rzezDCuZHjx6NHTt24OjRo5EuDxEREREREcUoCcDldzMSdMtAd9KXXqati4vT+847HNKv3uG3/9dfP+/XxL6wMDb7zIcVzN944424+OKLcfPNN2Pjxo0ljmZPREREREREJCTrbmxSb0aC8Lg434B4EszLssTEeL99jhzZDo/Hl5G32WKvvzwQ5gB4l156KQDgyJEjuP766xEXF4dGjRrBYvJKWCwWrFy5snylJCIiIiIiophhteqBttlUdTK6vZDfPR7fwHjqqPdpaf9jenyZY76oyDfXvMxZHwvCCuazsrL8/na5XDhy5EhECkREREREREQ1lzoffVyc/wB2MuWc9J+XEe0TE+shP/+0cgwNHo8FLpeeoQ+lFUC0CSuY//HHHyNdDiIiIiIiIqpBzLLyQpZLJr64WG9i7/HoU9O53frfhYX6dvfeuxYzZnT27v/DD5+iV68rUVwMFBTox5OWALEiRhoYEBERERERUTSRAe1C2c5u13/i4vQfqxVI+O8U83Y7UL9+M7993nnnBu/0dMap7mIFg3kiIiIiIiKqEjL9XCjbAb7R7e12PUOvTl1npGl6Jl/9iaWx20NqZi/94Zs0aQKbzVbm/vHNmjUrfSMiIiIiIiKqcSQYl77wwUaeVzP5cXF6MO9w6M3obbbA7d1ufXvpNy9/x4qQgvn09HRYrVZ8/vnnaNOmDdLT001HrjdjsViwZ8+echWyLPLy8rBixQqsWrUKP/74I44ePQqHw4EOHTpg3LhxyMjIqLSyEBERERERUXDGzLxkzmVEe8m8S593m823j8Xim2s+Lg5o23Ygfv11jfdYLpcbhYU2OBz6iPZyvlgRUjDfq1cvAEBiYqLf39XRli1b8OCDD6JevXro27cvLrvsMpw8eRIrVqzAn//8Z3z//feYPn16VReTiIiIiIiIYB5gy9R1NpuvubwE8jabL8uekKAH9C4XcN118/HYY629x1i7di4yMu5BcbEezEulQKwE9BZNi6VeA/pI+z///DMuv/xy2O127/Lff/8dY8eORVZWFhYuXIiuXbsGPUZ2dnZlFLXcUlJSoqasVHPxOaVowOeUqjs+oxQN+JxSebjd+r8SuBtHn5f1LpferL6oCMjJAfLzgZMngexs/e8HH6zvd9y5c08hJQVo3Bjo1i0FmpYNJUystlJSUkrdJoZ6DOg6dOiAYcOG+QXyANCwYUNcffXVAIDNmzdXRdGIiIiIiIjIhFlfdmMGXZ1/Xka4j4/3n3feqKgI3lHtgeD98aNRWPPMR6u4OP1ybWajIxAREREREVGVCLXpu/SP1zRf8J6UBOTmAv/tFe5HgnfZL5aEdDnlzWRXhz72brcbS5YsgcViQb9+/aq6OERERERERKSQfvKAf3Dvdvv3dZdR7TVN/6lVCzhxQl83deoWzJhxgXffoiL9p7i45GnsolFIwfyECRNCHr3ezN69e8PeN1Kef/557Nu3D6NGjYLT6Sxx27p168IaJXMWhNKXgqiq8TmlaMDnlKo7PqMUDficUnkVF/uy6WrfeRnwzmLxTTWXnw+cPatn5M+d0/vM//GPPf2Od+LEj2jVqi+Sk/W/69dPiZnp6UIK5q+66qpyBfPh6N27N06fPh3y9gsWLEDv3r1N13344Yd45ZVXkJaWhr/+9a+lHuvMmTMhn7cqcZARigZ8Tika8Dml6o7PKEUDPqcUCWowD/gCecnMy5R1hYX6T36+3sS+oEAP5mUKOvHcc/0wd+4p1K4NuN36MxoNwXwoFWMhBfNPP/10uQtTVhkZGcjNzQ15+4YNG5ou//jjj/Hoo4/C6XRi3rx5qFWrVqSKSERERERERBVIcsrq4HeA3gce0Kely8319ZsvKAg8hsej/+Tnm/erj1bVdgiASMwFv2jRIkyfPh3t2rXD/Pnz2eyHiIiIiIgoihiz6OrE6h6Pr/98QoI+wJ3VCjz66A489lhXv30KC4G8PD3ojxURCeazs7Nx/PhxAECjRo1Qv379UvaoeIsWLcK0adPQtm1bzJ8/v1qUiYiIiIiIiMIjA95JX3qHQ+87n5ioL4uP1wP6evVa+O1XUOBGQYEtoAl+tAs7mNc0De+++y7effddHDhwwG9d69atce2112L8+PFVMpDcwoULMX36dJx33nmYP38+GjRoUOllICIiIiIiovJTR66XzLw0u5fMvMWiT1Vns/ma4IvTp0+gQYOmAaPiR7uwgvmioiLcdtttWL9+PTRNQ926ddGsWTNomoajR49i//79eOqpp7Bq1Sq88sorcDgckS53UOvXr8f06dOhaRouuOACvP/++wHbdOzYEYMHD660MhEREREREVHpZIA7CdLdbl/gDvgGx7NY9My8xaJn4yWYj4/XB8EbPfoFLFp0FwBgz55/oWXL61FUxGAeL7/8Mr777ju0b98eDz74IC666CK/9d9++y3+8Y9/YMOGDXj55Zdx9913R6SwoTh69Ci0/1bXfPjhh6bbjBgxgsE8ERERERFRNWO1+jLrkpFXaZov4LdYfJl4m00P5GXfbt3+xxvML116P4YOvR6Ar6IgFoQVzH/66aeoU6cOFixYYDqo3EUXXYROnTrh8ssvx9KlSys1mB85ciRGjhxZaecjIiIiIiKiyFGbydtsvuBbnbIO8B/d3m7XM/S1agFnzgDJyf5xanGxPtq9261vFwvCqpM4fvw4+vTpU+Lo8PXr10efPn1w4sSJsAtHRERERERENZvazF6Ce+knb7Xqze0TEvS/ZRA8Y1N6qQgwm7ouWoUVzDdp0gQul6vU7VwuFxo3bhzOKYiIiIiIiIj8AnMJ7GWZTEcH+JrlJyUFNqUvLi6Cy6UH/rEirGB+2LBh2LBhA7KysoJuk5WVhQ0bNiAjIyPswhEREREREVHNFmyueRndXjL0Npse3KsBvvj555V+fepjQVjB/O23344+ffrguuuuw6JFi5CXl+ddl5eXh0WLFmHChAno06cP7rzzzogVloiIiIiIiGo2dXo6mXPeZtOb2sfF6b97PMAjj+zx7vPPf17nbZofK8Lq+n/55ZdD0zT89ttvmD59OqZPn446deoAAM6ePRuwrcpisWDlypVhFpeIiIiIiIhqKnXQO5UE8Zrm+71hw6YB++bn64PlxYKwgnmz5vVnzpwJWHbkyJFwDk9ERERERETkJdl2oc5FL/PRS1N7h0PvN5+b638Mjyd2AnkgzGD+xx9/jHQ5iIiIiIiIiALIvPIStEsfeXW51QoUFelN7fPy9KDd2G/ebtdiqpl9WH3miYiIiIiIiCqDMQCXIF2Wq6Pb2+1AYqJvCrtBg+7y7vfDD+tjZo55gME8ERERERERRSG12T2gB/Dx8b7frVZg1Ki/edffemt/0/720Sqkeoni4mKcOXMGDocDtWvXDlifnZ2N5557DqtXr0Z2djYaN26Myy67DHfeeSeSk5MjXmgiIiIiIiKq2SQwl/nlpV+9NLvXm+P7p/VrXGb+k08+wYABAzB//vyAdefOncO4ceOwcOFCHD9+HC6XC1lZWXjrrbdwww03oLi4OOKFJiIiIiIioppDmtFLkK42vZcp6qT5vcOhZ+jj4gIHvHO5Kqe8lSGkYH7jxo2wWCwYO3ZswLqXX34ZBw8eREJCAqZPn47PPvsMc+fORYsWLbBr1y4sWrQo4oUmIiIiIiKimkPtJy+j1qs0zTfoXa1a+u8SyDdo0Mpvu1gRUjC/d+9eOJ1ONG7cOGDdkiVLYLFYcNddd2H8+PFo3749Bg8ejNdeew0WiwX/+te/Il5oIiIiIiIiqlnUJvLGQfBsNv9svdWqZ+g1DZgy5UPv8p9+2lsJJa0cIQXzv//+O9q0aROw/JdffsHJkydhtVoxYsQIv3WtW7dG165dsW/fvsiUlIiIiIiIiGosqzVwyjlNC2x2b7PpP3Fx+r8tW6Z61z3//KxKLHHFCimYz83NhdvtDlj+/fffAwDat2+PlJSUgPV/+MMfcPbs2XIWkYiIiIiIiMg/cJem9tKPXkaz1zQ9K5+Q4N/cHgAeeODhyi90BQlpLL969erhwIEDAcu3bt0Ki8WCrl27mu5XXFzM0eyJiIiIiIiowlkseuBus+nBvDS9Ly4GXn/9FFq3TkHLltlVXcyICSkz37VrV/z888/49ttvvctOnTqFlStXAgD69+9vut+vv/5q2s+eiIiIiIiIqDwkM69OUQfoAbzDof8dF6ePdC9BvjWkCDg6hJSZHz9+PFatWoU777wTQ4cORf369fHll18iJycHTZo0QXp6esA+hw8fxv79+zFs2LCIF5qIiIiIiIhqJqsVUHuBy7R0skwGvrNYgKQkIC8PqFsXqFNHb4YfK0IK5vv374877rgDL730EpYuXQqLxQJN0xAfH48ZM2bAbpy8D8D7778PTdMwYMCAiBeaiIiIiIiIaibjHPOapgf08rcMgCeZebtdD/QdDv/56KNdSME8ANx9991IT0/HihUrkJ2djSZNmmD48OFo2bKl6fZ2ux0TJ07En/70p4gVloiIiIiIiMhm0wN0NSMvzeklWLfbgYICX1N76T8fF3IUXL2V6TI6d+6Mzp07h7TtvffeG055iIiIiIiIiMrMYvEF7TKNHaD/rmm+pvexIkYaGBAREREREVFNIYPfqSQjr2n6ervdN8K91ar3n5fB8mIBg3kiIiIiIiKKepJ9t1r1H5lnXqaoc7tjp4k9wGCeiIiIiIiIopA0pzc2nZesfVyc78duj62R7AEG80RERERERBSFJJBXs+0S2Et2Pi7Ov798LPWZj6FGBkRERERERFRT2Gy+KemEjFhvs+mBvNXqm6ZOgvpYwcw8ERERERERRSUZsV5IcC9N7ZOSfJn7/PzKK1dlYDBPREREREREUcvYb14GvLNYgMRE/V+bTZ9zPpaa2TOYJyIiIiIioqhl7DcP+PrIy7R0EvBbYygCjqFLISIiIiIioprGbER7t9u/r7wE/OwzT0RERERERFQNmAXy6uj1SUn6v7IsVjCYJyIiIiIioqgmA94JCdo9Hj2Yl6b2hYWVX7aKwmCeiIiIiIiIoprMKa+SgfAkM+/xxFYze84zT0RERERERFHNbHA7j8c313ytWkB8fGwF88zMExERERERUdSTPvKAHrR7PL6/7XYgIYGj2RMRERERERFVK9IvHvAf7M7j0TPzycl6UB8rGMwTERERERFR1DMOgicBvc0GOBy+JvexIoYuhYiIiIiIiGoydeo5j8e3zGrVg3r2mSciIiIiIiKqZowj2gO+7HwszTEPMJgnIiIiIiKiGGEM2tVm9Wo/+ljAYJ6IiIiIiIhigjFYLy7W/7XZYi87H5PzzL/66qvYsGEDfv31V2RnZyMxMRHNmzfHsGHDMG7cOCQmJlZ1EYmIiIiIiKgCWK2A263/LnPNx6KYvKwPPvgAKSkp6NevHxo0aIC8vDxs2rQJTz/9NJYsWYIPPviAAT0REREREVEMcjiA/Hz/ZTLwnccTOyPax2Qw/8UXXyA+Pj5g+YMPPoilS5di8eLFGD9+fBWUjIiIiIiIiCqSzaYH7DKavTFTHyvBfIxchj+zQB4AhgwZAgA4ePBgZRaHiIiIiIiIKpHaN17TfAF8LDW5j8lgPpg1a9YAANq3b1/FJSEiIiIiIqLK4HbrQbzDUdUliawYqpcI9NZbb+HcuXM4e/Ystm3bhl27dmHAgAG46qqrqrpoREREREREVEHsdr1Jvab5/o01Fk2LxcvSpaenIysry/v38OHD8be//Q21atUqcT+PxwNrrHSkICIiIiIiqmE0TR8ET/rNOxyxl5mvtsF87969cfr06ZC3X7BgAXr37m267sSJE9i4cSP+8Y9/IDk5GW+88QaaNm0a9FjZ2dllLW6VSElJiZqyUs3F55SiAZ9Tqu74jFI04HNK1U1+vm/gO7sdaNw4BWfORMczmpKSUuo21baZfUZGBnJzc0PevmHDhkHXNWrUCBkZGWjVqhXGjBmDp59+GrNnz45AKYmIiIiIiKg6iovzH8W+eqaxw1dtg/np06dH/Jhdu3ZF3bp1sWnTpogfm4iIiIiIiKoPq1Wfpk4C+lhTozqG5+bm4ty5c7DZbFVdFCIiIiIiIqoksZaVB2IwmM/KysLhw4cDlrtcLjz11FPweDz405/+VAUlIyIiIiIiosqijmnu8cRehr7aNrMP1969e3HXXXfhggsuwB//+EekpKTg999/x/r163H06FG0adMG9913X1UXk4iIiIiIiCqQxaKPYJ+fr//NYL6aS0tLw8SJE7F582asWLEC586dQ1JSEtq2bYvx48dj/PjxSEpKqupiEhERERERUSWwWn1T1Hk8/hn7aBZzwXyzZs0wderUqi4GERERERERVQMWi/nv0S7mgnkiIiIiIiIiIeOfx0pGXsTY5RARERERERH5qJOZSXP7WMBgnoiIiIiIiGKSBPKxmJ2PoUshIiIiIiIiCmSzAXFxsdVnnsE8ERERERERUZRhME9EREREREQUZRjMExEREREREUUZBvNEREREREQUs2Jp0DtVjF4WERERERERkf+gd5pWdeWINAbzREREREREVCMwmCciIiIiIiKKEpKdj6Um9zF0KURERERERESBrFZ9rvlYwmCeiIiIiIiIKMowmCciIiIiIiKKMgzmiYiIiIiIiKIMg3kiIiIiIiKiKMNgnoiIiIiIiCjKMJgnIiIiIiIiijIM5omIiIiIiIiiDIN5IiIiIiIioijDYJ6IiIiIiIgoyjCYJyIiIiIiIooyDOaJiIiIiIiIogyDeSIiIiIiIqIow2CeiIiIiIiIKMowmCciIiIiIiKKMgzmiYiIiIiIiKIMg3kiIiIiIiKiKMNgnoiIiIiIiCjKWDRN06q6EEREREREREQUOmbmiYiIiIiIiKIMg3kiIiIiIiKiKMNgnoiIiIiIiCjKMJgnIiIiIiIiijIM5omIiIiIiIiiTFxVF4B8duzYgRdeeAHbt2+Hy+VCu3btMGnSJAwbNizkY3g8Hrz33nv48MMPcfDgQSQlJaF3796477770Lp164orPNUY5X1Ot2zZgpUrV2LTpk3IyspCXl4emjdvjksuuQS33nor6tSpU8FXQLEuEp+lKpfLhdGjR+PHH39EmzZt8K9//SvCJaaaKFLPaU5ODubNm4evvvoKmZmZsNvtaNmyJS655BJMmTKlgkpPNUEkntGzZ8/izTffxMqVK3H48GE4HA60aNECI0aMwJgxYxAfH1+BV0CxbunSpdi6dSt27dqFffv2weVyYcaMGRg5cmSZjhPN8ROnpqsmNm7ciBtvvBF2ux1XXHEFateuja+++gqHDx/Gfffdh9tuuy2k40yfPh0fffQR2rVrh4EDB+LkyZNYvnw54uPj8cEHH6Bdu3YVfCUUyyLxnPbv3x/Z2dno2bMnOnbsCIvFgk2bNmHPnj1o1aoVPvjgAzRo0KASroZiUaQ+S1XPP/883nrrLeTl5TGYp4iI1HN65MgRTJo0CZmZmejXrx86duyIoqIiHDp0CEeOHMFnn31WwVdCsSoSz+jZs2cxcuRIZGZmomfPnujWrRuKiorwzTff4NChQ+jTpw/efPNNWK1sKEzhSU9PR1ZWFlJSUpCUlISsrKywgvmojp80qnIul0sbPHiw1rlzZ2337t3e5efOndOuuOIKLS0tTdu/f3+px1m/fr3mdDq1a6+9VissLPQu/+6777TU1FRt/PjxFVF8qiEi9Zy+8sor2rFjx/yWeTwe7dFHH9WcTqf2t7/9LdJFpxoiUs+oateuXVpaWpq2YMECzel0akOGDIlwqammidRzWlxcrI0aNUrr2rWrtn79etPzEIUjUs/oq6++qjmdTu2pp57yW15YWKiNGjVKczqd2qZNmyJdfKpB1q1bpx0+fFjTNP37pdPp1D7++OMyHSPa4ydWhVUDGzZswKFDh5CRkYG0tDTv8uTkZNxxxx0oLi7G4sWLSz3OwoULAQD33nsvHA6Hd3nfvn0xYMAAbN68Gfv374/8BVCNEKnn9JZbbkHjxo39llksFtxxxx0AgM2bN0e24FRjROoZFUVFRXj44YfRrVs3XHfddRVRZKqBIvWcfvnll9i5cycmT56MPn36BKyPi2NPSgpPpJ7RzMxMAMDAgQP9ljscDvTv3x8AcPLkyQiWnGqafv36oXnz5uU6RrTHTwzmq4FNmzYBAAYMGBCwTj7sZJuSbNy4EUlJSejRo0fAOjk2AyUKV6Se02Dki6fNZgv7GFSzRfoZnTt3Lg4ePIgnn3wSFoslMoWkGi9Sz+ny5csBAJdffjmOHj2K999/H6+++iq++OIL5ObmRrDEVNNE6hlt3749AODbb7/1W+5yufDdd98hISEB559/fnmLS1Qu0R4/sdq2Gjhw4AAA4I9//GPAurp16yIlJQUHDx4s8Rh5eXk4ceIEnE6naTAkgzfIuYjKKhLPaUk+/vhjAL4vCkRlFclndMeOHXj99ddx3333oU2bNpEsJtVwkXpOd+3aBQDYunUrZsyYgaKiIu+6+vXrY/bs2ejdu3dkCk01SqSe0TFjxmDp0qWYN28edu3ahc6dO8PlcuHbb7/FmTNn8Oyzz6JJkyaRLj5RyGIhfmJmvhrIyckBANSuXdt0fXJyMs6dO1fiMWR9cnJy0GOo5yIqq0g8p8Hs3bsXL774Iho0aICbbrop7DJSzRapZ7SoqAhTp05Fx44dMXny5IiWkShSz6k0T37iiScwadIkrFmzBuvXr8e0adNw7tw53HnnnTh+/HjkCk41RqSe0YSEBLz99tsYPnw4Nm3ahHnz5uHtt9/2NuE3y4QSVaZYiJ8YzBNRlcrMzMStt94Kt9uNWbNmoX79+lVdJKrhZs+ejYMHD+Kpp55itw+qtrT/TkZ08cUX4y9/+QuaNm2K+vXrY8KECbj++utx7tw5LFq0qIpLSTXZqVOncMMNN+CHH37Aq6++ii1btmDdunV47LHHsHjxYowdOxZnzpyp6mISRTUG89WA1PoEq+XMyckJWjsqZH2wmiNZHqzmiag0kXhOjbKysjBp0iScOnUKc+bMMR3EiShUkXhGd+/ejbfeegu33XYbUlNTI15Gokh9lspx0tPTA9YNGjQIgK8pPlFZROoZffrpp/H9999jzpw5GDhwIGrXro2GDRti7NixeOCBB5CZmYn58+dHtOxEZREL8ROD+WpA+mOY9T86c+YMsrOzTfstqZKSktCoUSMcPnwYbrc7YL309ZBzEZVVJJ5T1eHDhzFhwgQcP34cs2fP9n75JApXJJ7Rn376CW63Gy+88AJSU1P9fgBg//79SE1NxQUXXBDx8lPNEKnPUhnLoU6dOgHrZFlhYWE5Sko1VaSe0TVr1qBevXro0KFDwDqpvN+9e3f5CktUDrEQPzGYrwZ69eoFAFi7dm3AunXr1gEALrzwwlKPc+GFFyIvLw/btm0LWCfHlnMRlVWknlNAD+QnTpyI48eP47nnnsPgwYMjV1CqsSLxjLZu3RqjR482/QH0WvzRo0fjqquuimzhqcaI1GepBEO//PJLwDpZVt4pm6hmitQzWlRUhJycHL/BGcWpU6cAwG8qMKKqEO3xE4P5aqBv375o2bIlli1bhr1793qX5+Tk4KWXXkJcXBxGjBjhXX7q1Cn8+uuv3g9CMXbsWAB6f0/1g3P9+vVYu3YtevXqxVGZKWyRek4lkD927BhmzZqFSy+9tNKugWJbJJ7RHj164MknnzT9AYCGDRviySefxLRp0yrvwiimROqzdOTIkXA4HHjnnXdw7Ngxv+O88sorAIChQ4dW8NVQLIrUM9qjRw8UFxfjpZde8lteVFTkXcYZF6iyxGr8ZNFkBBWqUhs2bMBNN90Eu92OjIwMJCcn46uvvsLhw4dx77334vbbb/du+8ILL2Du3LmYMmUK7rrrLr/jTJs2DQsXLkS7du0wcOBAnDx5EsuXL0d8fDw++OADtGvXrrIvjWJIJJ7T9PR0ZGVloXv37qZz2AIIeK6JQhWpz1IzqampaNOmDf71r39V5CVQDRCp5/Ttt9/GE088gXr16uHSSy+Fw+HA6tWrkZWVhauvvhqPP/54ZV8axYhIPKN79+7F+PHjkZubi65du6JHjx4oLCzE2rVrkZmZiU6dOuH9999HfHx8VVwixYCFCxdi69atAIB9+/Zh9+7d6NGjh7cbyODBg72tP2M1fuI889VEnz598N5772HOnDn44osv4HK50K5dO9xzzz0YPnx4yMd5/PHHkZqaig8//BBvv/02kpKSMGjQIM6VTBERiec0KysLALB9+3Zs377ddBsG8xSuSH2WElWkSD2nEyZMQPPmzfHGG2/g888/h9vtRrt27XDbbbd5s01E4YjEM9qxY0csXrwYr7zyCjZs2IB3330XNpsNrVq1wl133YUbb7yRgTyVy9atW/HJJ5/4Ldu2bZu3yXzz5s1D6soZzfETM/NEREREREREUYZ95omIiIiIiIiiDIN5IiIiIiIioijDYJ6IiIiIiIgoyjCYJyIiIiIiIooyDOaJiIiIiIiIogyDeSIiIiIiIqIow2CeiIiIiIiIKMowmCciIiIiIiKKMgzmiYiIiIiIiKJMXFUXgIiIqCqlpqb6/W2xWJCcnAyn04kRI0Zg9OjRsFgsVVS66JKamormzZtj1apVVVqOdevW4d1338UPP/yAM2fOoFatWmjQoAE6duyI3r1746qrroLD4ajSMhIREZUXg3kiIiIAI0aMAAC43W5kZmZi27Zt2Lp1K9avX49Zs2ZVcemi18aNGzFx4kSMGDECTz/9dIWfb86cOXjxxRcBAE6nEz169IDVasX+/fvx+eefY9myZRg0aBAaNWpU4WUhIiKqSAzmiYiIgIBAc926dbjlllvw+eefY9iwYRg0aFAVlSx6LF++HHa7vcrOv3PnTrz44ouw2+148cUXMXDgQL/1x44dw0cffcSsPBERxQT2mSciIjLRv39/DB8+HACwcuXKKi5NdGjbti1atWpVZeeX12no0KEBgTwANGnSBHfddRfq1q1b2UUjIiKKOAbzREREQaSlpQEAfvvtN++y1NRUpKeno6ioCHPnzsXll1+Ozp0744477vBuc/ToUTzyyCMYNGgQOnfujL59+2LKlCnYsWNHwDkOHz6M1NRUTJgwATk5OXjiiScwcOBAdOnSBUOHDsVbb70Fj8djWr7c3FzMnTsXw4YNQ7du3dCjRw9cd911ppUP6nkKCgowc+ZMb/kuvfRSvPrqq9A0LWC/o0eP4rHHHsOQIUPQrVs3XHjhhbjiiivwyCOP4D//+Y/ftnJvxMMPP4yJEycCAD755BOkpqZ6f1544QXs2LEDqampGDduXNDXYO7cuUhNTcVLL70UdBtx6tQpAED9+vVL3dZs32effRYZGRno3r07LrjgAlx55ZV47rnnkJ2d7bdtfn4+XnzxRWRkZKBr167o2bMnxo8fj88//9z02Onp6UhNTYWmaXj77bcxfPhwdOvWDVdeeaV3m6KiIsyfPx+jRo3C+eefj+7du2P06NFYuHCh6etCRETEZvZERERB5ObmAkBA03GPx4M777wTW7ZsQa9evZCamop69eoBAH766SdMmjQJ2dnZOO+883DZZZfhyJEjWLFiBb7++mvMnDkTQ4cODThXUVERJk6ciMzMTPTp0wculwvr16/HjBkz8NNPP2HGjBl+2//++++YNGkSfvnlFzRp0gT9+vVDQUEBtm/fjjvvvBN//vOfccsttwScx+VyYfLkyfjll1/QpUsXnHfeedi8eTOeffZZ5Obm4r777vNu+9tvv2HEiBHIzs5GamoqBg0ahMLCQhw5cgQfffQRunfvjvPOOy/o/evZsydOnDiBtWvXolWrVujZs6d3XceOHdG1a1d06tQJ33//PX7++We0b98+4D4vXrwYNpsNo0aNCnoe0aRJEwDAV199hVtvvTXkoP6XX37B5MmTcezYMTRq1AgXXXQR3G439u/fj5dffhn9+vVD7969AQA5OTmYOHEidu/ejfr16+Piiy9Gfn4+NmzYgC1btmD79u3461//anqeRx99FIsXL0avXr3Qtm1buFwuAEBeXh5uvvlmbNmyBSkpKejZsyesViu2b9+OadOmYefOnXj88cdDuhYiIqpBNCIiohrM6XRqTqczYLnH49Guvvpqzel0arNmzQrY/tJLL9V+++23gH0yMjI0p9OpPfvss5rH4/Gu++KLL7QOHTpo559/vnbixAnv8szMTO8xhw0bpp08edK77uDBg9qAAQM0p9OprVy50u9cN910k+Z0OrVnnnlGKyoq8i4/dOiQNnjwYK1jx47a3r17Tc9z7bXX+p1nx44dWlpamtatWzctJyfHu3zOnDma0+nU5s2bF3B/Dh8+rB08eDDgXg4aNMhv2YYNGzSn06k99NBDAcfQNE378MMPNafTqT355JMB69asWaM5nU7t1ltvNd3X6ODBg1qXLl00p9Op9ejRQ3vwwQe1jz76SNu3b5/fa6FyuVza5ZdfrjmdTu3pp5/2u5eapmm7d+/Wjh496v378ccf15xOp3b99df73atffvlF69u3r+Z0OrXVq1f7HWPQoEGa0+nUevfure3bty+gDI8++qjmdDq1Bx54wO+YJ0+e1MaMGaM5nU7t66+/DukeEBFRzcFm9kRERAq3240DBw7gf//3f/H999/D4XCYZoXvv/9+byZYbNy4Efv27UOLFi1wzz33+E1pd/nll2Pw4MHIzc3F4sWLTc/90EMP+WWTW7Vq5W2+/95773mX7927F9988w3OP/98/OUvf/FrOdCyZUs89NBDcLvdWLRoUcA5rFYrnnjiCb/zdOnSBRdddBHy8/Oxa9cu7/KTJ08CAPr06RNwnObNm0ekf3xGRgaSk5OxdOlSFBUV+a2T8o8dOzakY7Vq1QovvfQSGjdujJycHCxZsgTTpk1DRkYG+vfvj2eeeQZnz5712+err77Cf/7zH6SmpuKBBx4IaIWRlpaGpk2bAtAz6IsWLYLVasWjjz6KWrVqebdr27Ytbr/9dgDAggULTMt38803B7Q+OHnyJBYtWoQWLVrgiSee8Dtm/fr1vRn5Dz74IKR7QERENQeDeSIiIsDblzstLQ1DhgzB4sWLUatWLcyaNSsgaLVYLH59w8WWLVsAAP/zP/8Dm80WsF76SMt2qnr16qF///4By4cNGwYA2LZtm7fv9Lp16wAAl1xyiV+FgZDm7Dt37gxY17x5c7Rp0yZguSw7ceKEd1mnTp0AAI899hg2bNiA4uLigP3KKykpCcOGDcPp06exYsUK7/KTJ09i1apVaNy4selgdsEMGDAA//73vzF79myMHTsWqampsFqtOHnyJN544w2MHj3a27ceANavXw9ArzCwWkv+WrR7924UFBSga9euaN26dcB6eX3V10pl9sxs2rQJLpcLF110keko+x06dECtWrX8KlmIiIgA9pknIiIC4Jtn3mKxIDk5GU6nE5dddpnpyOcNGjQwDbyOHz8OQA+Yzchy2U7VrFkz032Sk5NRp04dnD17Fjk5OahduzaysrIAADNnzsTMmTODXpNx4DYA3iyzUVJSEgD4ZcdHjhyJdevW4YsvvsCkSZOQmJiIzp07409/+hNGjRqFBg0aBD13WYwbNw7vv/8+PvroI1xxxRUAgMWLF8PlcmHUqFGmFSMlcTgcGDp0qHdsglOnTmHx4sWYO3cuDh48iFmzZuGJJ54AoA/wB+gtGkpT2utbp04d1K5dG+fOnfO+Viqz11hey/fffx/vv/9+0HMXFhaWWj4iIqpZGMwTEREhcJ75ksTHx5e43ixbXpb1RsYsr9vtBgBccMEFJQahKSkp5Tq3zWbD7Nmzccstt+Df//43Nm7ciO3bt2Pz5s145ZVX8MYbb6B79+4hHy+YDh06oHv37ti4cSMOHTqEVq1aYdGiRbBYLBg9enS5j1+/fn3cdNNNSEhIwP/93/9h9erVAduU5b6Esq3ZNmbPjcxUkJaWhtTU1JDLQERExGCeiIgoQho3bgxAnwbOjGRhGzVqFLDuyJEjpvvk5OTg3LlzSEpKQnJyMgBfdn3IkCHeqd8qUlpaGtLS0nDXXXchJycHc+fOxZtvvoknn3wSCxcujMg5xo0bh+3bt2PRokUYMGAADhw4gAEDBqBFixYROT4AXHjhhQCA06dPe5f94Q9/AAAcOnSo1P1Le33PnTvnfa3Uvu8lkXEXLrzwQkydOjWkfYiIiAD2mSciIoqYCy64AACwfPlyb/Zc9emnn/ptpzp9+jS+++67gOXLli0DAJx//vnebG+/fv0AwHQ++YqWnJyM+++/HxaLBfv27St1exlQrrT+9kOHDkXdunWxePFib3PzMWPGlKlsZv3UVRKwS1AOAH379gWAkOZz79SpExISErBjxw4cOHAgYL28vj169Ag509+nTx/YbDasXr3a9JkhIiIKhsE8ERFRhPTu3RtOpxOHDx/GnDlz/ILDlStXYsWKFUhKSvL2zzd65pln/Pq5Z2Zm4qWXXgIAXHvttd7l3bt3R9++fbFx40Y89dRTyM3N9TuOx+PB2rVrTQfaK4slS5aYBuzffPMNNE3zZrVLIoHz/v37S9wuISEBV155JU6cOIHly5ejfv36uOSSS8pU3tmzZ+OZZ55BZmZmwLoDBw7g73//OwDg0ksv9S6/7LLL0Lp1a/z444+YOXNmQKXD3r178dtvvwHQxxUYNWoUPB4PHn/8ceTl5Xm3279/P/75z38CACZMmBBymZs0aYIRI0bgwIEDePDBB/0G5xPbtm3DmjVrQj4mERHVDGxmT0REFCEWiwUzZ87ExIkT8fLLL2PFihXo2LEjjhw5gm3btiEuLg5PPfWUaTP77t27w+VyYciQIejTpw+KioqwYcMG5OfnY/jw4Rg8eLDf9jNnzsTkyZMxf/58LF26FB06dED9+vVx7Ngx7N+/H6dOncLUqVNNWwGE6quvvsJDDz2EVq1awel0IiEhAVlZWdi+fTtsNhvuv//+Uo/RokULpKamYteuXRg9ejTat28Pq9WK9PT0gGB93Lhx3mndRowYETBNXGny8vKwYMECzJs3D23atEHbtm0RFxeHo0ePYseOHfB4POjUqROmTJni3ScuLg4vvPACJk+ejNdffx2ffvopzj//fLjdbuzfvx+//vorFixY4O3acP/992P79u1Yt24dBg8ejF69eiE/Px8bNmxAYWEhJkyYgIsvvrhM5Z42bRoyMzOxbNkyfP311+jYsSMaN26M33//HQcPHsSxY8cwceLEMo3qT0REsY/BPBERUQSlpqbik08+wT//+U98++23+PLLL5GcnIzBgwfj1ltvRdeuXU33czgceP311zFr1iysXLkS2dnZaNGiBcaOHYtJkyYFbN+wYUN89NFH+OCDD7B8+XLs3LkTLpcLjRo1QlpaGtLT072juYfrhhtuQNOmTbFt2zZs2bIF+fn5aNKkCa644grceOONSEtLC+k4L7zwAp555hls2bIFu3fvhsfjQdOmTQOC+bZt26Jx48Y4fvx4mZvYA8Dtt9+OTp06Ye3atfjpp5+wefNm76jyvXr1wpAhQzBmzJiAmQicTieWLFmCN954A6tWrcLXX3+NxMRENGvWDLfffrvfwHTJycl45513MG/ePHzxxRdYtWoV7HY7OnfujGuvvRYZGRllLndiYiLmzZuHTz75BJ9++il++ukn/PDDD2jQoAFatWqFiRMnhnVcIiKKbRattA5iREREVGEOHz6MSy65BBdeeCHefvvtqi5Oldq2bRuuueYa3gsiIqIQsM88ERERVQuvvPIKAGD8+PFVXBIiIqLqj83siYiIqMps27YNixYtws8//4wdO3agU6dOuOyyy6q6WERERNUeg3kiIiKqMgcOHMDHH3+MWrVqYdCgQXjkkUdgtbLhIBERUWnYZ56IiIiIiIgoyrDqm4iIiIiIiCjKMJgnIiIiIiIiijIM5omIiIiIiIiiDIN5IiIiIiIioijDYJ6IiIiIiIgoyjCYJyIiIiIiIooyDOaJiIiIiIiIogyDeSIiIiIiIqIo8/9HJcXE0ppS8AAAAABJRU5ErkJggg==",
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       "text/plain": [
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       ]
@@ -1968,7 +1960,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b9d09b2f6048485698eb1daa7b90e950",
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       },
@@ -1999,7 +1991,7 @@
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      "data": {
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-       "model_id": "df1a801c0eaa4475bbb8a1173e51a4a9",
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        "version_major": 2,
        "version_minor": 0
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@@ -2052,7 +2044,7 @@
     {
      "data": {
       "text/plain": [
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@@ -2079,7 +2071,7 @@
     {
      "data": {
       "text/plain": [
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+       "0.844946414162722"
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@@ -2106,7 +2098,7 @@
     {
      "data": {
       "text/plain": [
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+       "2.3088575135634106"
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@@ -2308,7 +2300,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3f06195e13274b21bf4353c01f810acb",
+       "model_id": "7d0ffeee51da4e51b212baff0ee0dbbf",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2333,7 +2325,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 15 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 16 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -2345,7 +2337,7 @@
     {
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        "version_major": 2,
        "version_minor": 0
       },
@@ -2370,7 +2362,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_std, like, nu, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -2380,7 +2372,7 @@
     {
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        "version_major": 2,
        "version_minor": 0
       },
@@ -2405,7 +2397,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 16 seconds.\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std, alpha_outcome, sigma]\n"
@@ -2414,7 +2406,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "42553a3df0094a17b35fd739e81f71a3",
+       "model_id": "c639a9b38c9f4436a7a0ea96182e590b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2425,14 +2417,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -2447,7 +2431,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n"
      ]
     }
    ],
@@ -2501,7 +2485,7 @@
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2572,100 +2556,100 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.262</td>\n",
+       "      <td>-0.260</td>\n",
        "      <td>0.051</td>\n",
-       "      <td>-0.357</td>\n",
-       "      <td>-0.165</td>\n",
+       "      <td>-0.358</td>\n",
+       "      <td>-0.164</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.938</td>\n",
-       "      <td>0.264</td>\n",
-       "      <td>-10.434</td>\n",
-       "      <td>-9.459</td>\n",
+       "      <td>-9.931</td>\n",
+       "      <td>0.275</td>\n",
+       "      <td>-10.436</td>\n",
+       "      <td>-9.412</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.102</td>\n",
-       "      <td>0.224</td>\n",
-       "      <td>-10.523</td>\n",
-       "      <td>-9.687</td>\n",
+       "      <td>-10.097</td>\n",
+       "      <td>0.218</td>\n",
+       "      <td>-10.504</td>\n",
+       "      <td>-9.691</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-16.217</td>\n",
-       "      <td>0.633</td>\n",
-       "      <td>-17.413</td>\n",
-       "      <td>-15.063</td>\n",
+       "      <td>-16.222</td>\n",
+       "      <td>0.650</td>\n",
+       "      <td>-17.456</td>\n",
+       "      <td>-15.023</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.587</td>\n",
-       "      <td>0.393</td>\n",
-       "      <td>45.830</td>\n",
-       "      <td>47.319</td>\n",
+       "      <td>46.592</td>\n",
+       "      <td>0.399</td>\n",
+       "      <td>45.884</td>\n",
+       "      <td>47.379</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.055</td>\n",
-       "      <td>0.316</td>\n",
-       "      <td>-10.615</td>\n",
-       "      <td>-9.442</td>\n",
+       "      <td>-10.075</td>\n",
+       "      <td>0.325</td>\n",
+       "      <td>-10.686</td>\n",
+       "      <td>-9.464</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.445</td>\n",
-       "      <td>0.195</td>\n",
-       "      <td>-10.804</td>\n",
-       "      <td>-10.074</td>\n",
+       "      <td>-10.675</td>\n",
+       "      <td>0.191</td>\n",
+       "      <td>-11.022</td>\n",
+       "      <td>-10.304</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>42.542</td>\n",
-       "      <td>0.408</td>\n",
-       "      <td>41.784</td>\n",
-       "      <td>43.304</td>\n",
+       "      <td>41.935</td>\n",
+       "      <td>0.416</td>\n",
+       "      <td>41.111</td>\n",
+       "      <td>42.669</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-8.266</td>\n",
-       "      <td>0.949</td>\n",
-       "      <td>-10.094</td>\n",
-       "      <td>-6.515</td>\n",
+       "      <td>-6.477</td>\n",
+       "      <td>0.944</td>\n",
+       "      <td>-8.224</td>\n",
+       "      <td>-4.717</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-8.532</td>\n",
-       "      <td>0.341</td>\n",
-       "      <td>-9.156</td>\n",
-       "      <td>-7.884</td>\n",
+       "      <td>-8.527</td>\n",
+       "      <td>0.339</td>\n",
+       "      <td>-9.174</td>\n",
+       "      <td>-7.906</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-11.517</td>\n",
-       "      <td>0.168</td>\n",
-       "      <td>-11.838</td>\n",
-       "      <td>-11.205</td>\n",
+       "      <td>-11.520</td>\n",
+       "      <td>0.170</td>\n",
+       "      <td>-11.840</td>\n",
+       "      <td>-11.203</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>37.835</td>\n",
-       "      <td>0.220</td>\n",
-       "      <td>37.401</td>\n",
-       "      <td>38.230</td>\n",
+       "      <td>37.830</td>\n",
+       "      <td>0.218</td>\n",
+       "      <td>37.427</td>\n",
+       "      <td>38.250</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2674,18 +2658,18 @@
       ],
       "text/plain": [
        "                                   mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model     alpha_trt      -0.262  0.051  -0.357   -0.165    1.0\n",
-       "                  beta_[trt]     -9.938  0.264 -10.434   -9.459    1.0\n",
-       "                  beta_[income] -10.102  0.224 -10.523   -9.687    1.0\n",
-       "                  beta_ps       -16.217  0.633 -17.413  -15.063    1.0\n",
-       "                  alpha_outcome  46.587  0.393  45.830   47.319    1.0\n",
-       "2-stage-model     beta_[trt]    -10.055  0.316 -10.615   -9.442    1.0\n",
-       "                  beta_[income] -10.445  0.195 -10.804  -10.074    1.0\n",
-       "                  alpha_outcome  42.542  0.408  41.784   43.304    1.0\n",
-       "                  beta_ps        -8.266  0.949 -10.094   -6.515    1.0\n",
-       "Simple Regression beta_[trt]     -8.532  0.341  -9.156   -7.884    1.0\n",
-       "                  beta_[income] -11.517  0.168 -11.838  -11.205    1.0\n",
-       "                  alpha_outcome  37.835  0.220  37.401   38.230    1.0"
+       "1-stage-model     alpha_trt      -0.260  0.051  -0.358   -0.164    1.0\n",
+       "                  beta_[trt]     -9.931  0.275 -10.436   -9.412    1.0\n",
+       "                  beta_[income] -10.097  0.218 -10.504   -9.691    1.0\n",
+       "                  beta_ps       -16.222  0.650 -17.456  -15.023    1.0\n",
+       "                  alpha_outcome  46.592  0.399  45.884   47.379    1.0\n",
+       "2-stage-model     beta_[trt]    -10.075  0.325 -10.686   -9.464    1.0\n",
+       "                  beta_[income] -10.675  0.191 -11.022  -10.304    1.0\n",
+       "                  alpha_outcome  41.935  0.416  41.111   42.669    1.0\n",
+       "                  beta_ps        -6.477  0.944  -8.224   -4.717    1.0\n",
+       "Simple Regression beta_[trt]     -8.527  0.339  -9.174   -7.906    1.0\n",
+       "                  beta_[income] -11.520  0.170 -11.840  -11.203    1.0\n",
+       "                  alpha_outcome  37.830  0.218  37.427   38.250    1.0"
       ]
      },
      "execution_count": 22,
@@ -2726,7 +2710,7 @@
     {
      "data": {
       "text/plain": [
-       "array([0.181, 0.249, 0.31 , 0.369, 0.43 , 0.5  , 0.571, 0.642, 0.727])"
+       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.571, 0.643, 0.727])"
       ]
      },
      "execution_count": 23,
@@ -2755,7 +2739,7 @@
     {
      "data": {
       "text/plain": [
-       "array([0.239, 0.283, 0.317, 0.348, 0.379, 0.412, 0.449, 0.492, 0.556])"
+       "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])"
       ]
      },
      "execution_count": 24,
@@ -2776,7 +2760,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3006,7 +2990,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1667160282ee4fa5bf3cae9dc7aebf51",
+       "model_id": "d6335397be4d4d81903b28a965be22c8",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3021,6 +3005,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n",
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
@@ -3051,7 +3039,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5c29a30fa2d54ec6ba1d63781980aae8",
+       "model_id": "b37eb6410531418d9d91cbb514227de5",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3086,7 +3074,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3ec91dc18fb347d48083e729bb242dfb",
+       "model_id": "26b47660f83e456892c665a5b114e9d1",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3097,6 +3085,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -3111,7 +3107,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std, alpha_outcome, sigma]\n"
@@ -3120,7 +3116,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "16b75f79be6c4c20a7296b6b13231096",
+       "model_id": "2439cc7a3f24484d906145bdb19c9395",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3207,7 +3203,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3271,148 +3267,148 @@
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.362</td>\n",
-       "      <td>0.139</td>\n",
-       "      <td>-1.647</td>\n",
-       "      <td>-1.121</td>\n",
+       "      <td>-1.356</td>\n",
+       "      <td>0.133</td>\n",
+       "      <td>-1.627</td>\n",
+       "      <td>-1.130</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1555.755</td>\n",
-       "      <td>608.882</td>\n",
-       "      <td>410.268</td>\n",
-       "      <td>2686.937</td>\n",
+       "      <td>1558.343</td>\n",
+       "      <td>600.038</td>\n",
+       "      <td>409.919</td>\n",
+       "      <td>2668.217</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-473.860</td>\n",
-       "      <td>491.291</td>\n",
-       "      <td>-1377.276</td>\n",
-       "      <td>453.872</td>\n",
+       "      <td>-482.183</td>\n",
+       "      <td>489.614</td>\n",
+       "      <td>-1363.161</td>\n",
+       "      <td>445.225</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3946.132</td>\n",
-       "      <td>534.405</td>\n",
-       "      <td>2940.599</td>\n",
-       "      <td>4932.175</td>\n",
+       "      <td>3937.746</td>\n",
+       "      <td>506.244</td>\n",
+       "      <td>3022.241</td>\n",
+       "      <td>4936.721</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>94.621</td>\n",
-       "      <td>297.563</td>\n",
-       "      <td>-482.765</td>\n",
-       "      <td>640.929</td>\n",
+       "      <td>90.878</td>\n",
+       "      <td>288.145</td>\n",
+       "      <td>-446.644</td>\n",
+       "      <td>631.736</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4307.501</td>\n",
-       "      <td>371.761</td>\n",
-       "      <td>3616.463</td>\n",
-       "      <td>5011.419</td>\n",
+       "      <td>4315.509</td>\n",
+       "      <td>374.317</td>\n",
+       "      <td>3614.229</td>\n",
+       "      <td>5000.041</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6570.115</td>\n",
-       "      <td>154.662</td>\n",
-       "      <td>6274.263</td>\n",
-       "      <td>6852.699</td>\n",
+       "      <td>6566.872</td>\n",
+       "      <td>155.626</td>\n",
+       "      <td>6261.723</td>\n",
+       "      <td>6855.186</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1676.217</td>\n",
-       "      <td>582.124</td>\n",
-       "      <td>619.976</td>\n",
-       "      <td>2767.567</td>\n",
+       "      <td>1669.030</td>\n",
+       "      <td>581.929</td>\n",
+       "      <td>550.930</td>\n",
+       "      <td>2756.638</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-505.285</td>\n",
-       "      <td>492.295</td>\n",
-       "      <td>-1419.743</td>\n",
-       "      <td>436.524</td>\n",
+       "      <td>-507.852</td>\n",
+       "      <td>497.123</td>\n",
+       "      <td>-1412.031</td>\n",
+       "      <td>437.028</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3840.392</td>\n",
-       "      <td>514.250</td>\n",
-       "      <td>2861.546</td>\n",
-       "      <td>4799.462</td>\n",
+       "      <td>3888.698</td>\n",
+       "      <td>531.825</td>\n",
+       "      <td>2891.057</td>\n",
+       "      <td>4867.141</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-3.159</td>\n",
-       "      <td>297.414</td>\n",
-       "      <td>-556.995</td>\n",
-       "      <td>556.328</td>\n",
+       "      <td>-0.638</td>\n",
+       "      <td>303.179</td>\n",
+       "      <td>-582.358</td>\n",
+       "      <td>563.384</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4237.582</td>\n",
-       "      <td>372.671</td>\n",
-       "      <td>3544.373</td>\n",
-       "      <td>4943.142</td>\n",
+       "      <td>4230.252</td>\n",
+       "      <td>364.708</td>\n",
+       "      <td>3519.958</td>\n",
+       "      <td>4886.024</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6555.481</td>\n",
-       "      <td>147.341</td>\n",
-       "      <td>6277.873</td>\n",
-       "      <td>6828.763</td>\n",
+       "      <td>6557.500</td>\n",
+       "      <td>152.480</td>\n",
+       "      <td>6275.770</td>\n",
+       "      <td>6848.525</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1593.428</td>\n",
-       "      <td>571.210</td>\n",
-       "      <td>520.024</td>\n",
-       "      <td>2662.408</td>\n",
+       "      <td>1591.228</td>\n",
+       "      <td>578.457</td>\n",
+       "      <td>507.054</td>\n",
+       "      <td>2665.353</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-453.034</td>\n",
-       "      <td>488.674</td>\n",
-       "      <td>-1370.280</td>\n",
-       "      <td>435.971</td>\n",
+       "      <td>-470.269</td>\n",
+       "      <td>487.714</td>\n",
+       "      <td>-1337.711</td>\n",
+       "      <td>482.535</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3935.052</td>\n",
-       "      <td>508.004</td>\n",
-       "      <td>2996.129</td>\n",
-       "      <td>4913.557</td>\n",
+       "      <td>3933.372</td>\n",
+       "      <td>513.450</td>\n",
+       "      <td>2975.863</td>\n",
+       "      <td>4879.794</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4314.900</td>\n",
-       "      <td>367.916</td>\n",
-       "      <td>3655.306</td>\n",
-       "      <td>5028.533</td>\n",
+       "      <td>4325.801</td>\n",
+       "      <td>375.831</td>\n",
+       "      <td>3661.644</td>\n",
+       "      <td>5063.629</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6565.633</td>\n",
-       "      <td>148.940</td>\n",
-       "      <td>6285.940</td>\n",
-       "      <td>6847.348</td>\n",
+       "      <td>6562.698</td>\n",
+       "      <td>151.504</td>\n",
+       "      <td>6267.833</td>\n",
+       "      <td>6846.425</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3421,24 +3417,24 @@
       ],
       "text/plain": [
        "                                       mean       sd    hdi_3%   hdi_97%  \\\n",
-       "1-stage-model     alpha_trt          -1.362    0.139    -1.647    -1.121   \n",
-       "                  beta_[treat]     1555.755  608.882   410.268  2686.937   \n",
-       "                  beta_[nodegree]  -473.860  491.291 -1377.276   453.872   \n",
-       "                  beta_[married]   3946.132  534.405  2940.599  4932.175   \n",
-       "                  beta_ps            94.621  297.563  -482.765   640.929   \n",
-       "                  alpha_outcome    4307.501  371.761  3616.463  5011.419   \n",
-       "                  sigma            6570.115  154.662  6274.263  6852.699   \n",
-       "2-stage-model     beta_[treat]     1676.217  582.124   619.976  2767.567   \n",
-       "                  beta_[nodegree]  -505.285  492.295 -1419.743   436.524   \n",
-       "                  beta_[married]   3840.392  514.250  2861.546  4799.462   \n",
-       "                  beta_ps            -3.159  297.414  -556.995   556.328   \n",
-       "                  alpha_outcome    4237.582  372.671  3544.373  4943.142   \n",
-       "                  sigma            6555.481  147.341  6277.873  6828.763   \n",
-       "Simple Regression beta_[treat]     1593.428  571.210   520.024  2662.408   \n",
-       "                  beta_[nodegree]  -453.034  488.674 -1370.280   435.971   \n",
-       "                  beta_[married]   3935.052  508.004  2996.129  4913.557   \n",
-       "                  alpha_outcome    4314.900  367.916  3655.306  5028.533   \n",
-       "                  sigma            6565.633  148.940  6285.940  6847.348   \n",
+       "1-stage-model     alpha_trt          -1.356    0.133    -1.627    -1.130   \n",
+       "                  beta_[treat]     1558.343  600.038   409.919  2668.217   \n",
+       "                  beta_[nodegree]  -482.183  489.614 -1363.161   445.225   \n",
+       "                  beta_[married]   3937.746  506.244  3022.241  4936.721   \n",
+       "                  beta_ps            90.878  288.145  -446.644   631.736   \n",
+       "                  alpha_outcome    4315.509  374.317  3614.229  5000.041   \n",
+       "                  sigma            6566.872  155.626  6261.723  6855.186   \n",
+       "2-stage-model     beta_[treat]     1669.030  581.929   550.930  2756.638   \n",
+       "                  beta_[nodegree]  -507.852  497.123 -1412.031   437.028   \n",
+       "                  beta_[married]   3888.698  531.825  2891.057  4867.141   \n",
+       "                  beta_ps            -0.638  303.179  -582.358   563.384   \n",
+       "                  alpha_outcome    4230.252  364.708  3519.958  4886.024   \n",
+       "                  sigma            6557.500  152.480  6275.770  6848.525   \n",
+       "Simple Regression beta_[treat]     1591.228  578.457   507.054  2665.353   \n",
+       "                  beta_[nodegree]  -470.269  487.714 -1337.711   482.535   \n",
+       "                  beta_[married]   3933.372  513.450  2975.863  4879.794   \n",
+       "                  alpha_outcome    4325.801  375.831  3661.644  5063.629   \n",
+       "                  sigma            6562.698  151.504  6267.833  6846.425   \n",
        "\n",
        "                                   r_hat  \n",
        "1-stage-model     alpha_trt          1.0  \n",
@@ -3500,7 +3496,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3655,7 +3651,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "420e0a771cbd40d1955707cbedc2e4d6",
+       "model_id": "1b64f6011bfc4662b983fb9fc6eed5db",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3680,7 +3676,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 59 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 63 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -3692,7 +3688,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "83edb6a6f6a1498bbf69e969bdea5d01",
+       "model_id": "dc3da0cb7e864745990f49f5aa880b5f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3717,7 +3713,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 39 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 40 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -3727,7 +3723,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "18f0d8582b4b45a2ba7ac721ac5e5756",
+       "model_id": "f2d3aebe0a694f4fb892dbf182010c21",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3746,6 +3742,14 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -3769,7 +3773,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "95d71e37ba4446d299c8ae88858e17f2",
+       "model_id": "3fa35b803add45c98418c8ece47772f4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3788,6 +3792,14 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -3802,7 +3814,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 16 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
      ]
     }
    ],
@@ -3909,7 +3921,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3980,220 +3992,220 @@
        "    <tr>\n",
        "      <th rowspan=\"10\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.143</td>\n",
-       "      <td>0.063</td>\n",
-       "      <td>-1.261</td>\n",
-       "      <td>-1.028</td>\n",
+       "      <td>-1.145</td>\n",
+       "      <td>0.061</td>\n",
+       "      <td>-1.257</td>\n",
+       "      <td>-1.029</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>3.069</td>\n",
-       "      <td>0.411</td>\n",
-       "      <td>2.331</td>\n",
-       "      <td>3.883</td>\n",
+       "      <td>3.068</td>\n",
+       "      <td>0.406</td>\n",
+       "      <td>2.304</td>\n",
+       "      <td>3.820</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-1.352</td>\n",
-       "      <td>0.558</td>\n",
-       "      <td>-2.407</td>\n",
-       "      <td>-0.325</td>\n",
+       "      <td>-1.334</td>\n",
+       "      <td>0.553</td>\n",
+       "      <td>-2.351</td>\n",
+       "      <td>-0.283</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>-0.321</td>\n",
+       "      <td>-0.332</td>\n",
        "      <td>0.613</td>\n",
-       "      <td>-1.505</td>\n",
-       "      <td>0.799</td>\n",
+       "      <td>-1.486</td>\n",
+       "      <td>0.850</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.104</td>\n",
-       "      <td>0.429</td>\n",
-       "      <td>-0.706</td>\n",
-       "      <td>0.908</td>\n",
+       "      <td>0.095</td>\n",
+       "      <td>0.422</td>\n",
+       "      <td>-0.676</td>\n",
+       "      <td>0.890</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>0.066</td>\n",
-       "      <td>0.647</td>\n",
-       "      <td>-1.131</td>\n",
-       "      <td>1.280</td>\n",
+       "      <td>0.063</td>\n",
+       "      <td>0.637</td>\n",
+       "      <td>-1.153</td>\n",
+       "      <td>1.238</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-0.975</td>\n",
-       "      <td>0.667</td>\n",
-       "      <td>-2.271</td>\n",
-       "      <td>0.232</td>\n",
+       "      <td>-0.965</td>\n",
+       "      <td>0.666</td>\n",
+       "      <td>-2.206</td>\n",
+       "      <td>0.295</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>0.265</td>\n",
-       "      <td>0.534</td>\n",
-       "      <td>-0.733</td>\n",
-       "      <td>1.286</td>\n",
+       "      <td>0.268</td>\n",
+       "      <td>0.543</td>\n",
+       "      <td>-0.776</td>\n",
+       "      <td>1.273</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4.722</td>\n",
-       "      <td>1.203</td>\n",
-       "      <td>2.514</td>\n",
-       "      <td>7.006</td>\n",
+       "      <td>4.772</td>\n",
+       "      <td>1.188</td>\n",
+       "      <td>2.518</td>\n",
+       "      <td>7.036</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-11.172</td>\n",
-       "      <td>4.698</td>\n",
-       "      <td>-20.527</td>\n",
-       "      <td>-2.890</td>\n",
+       "      <td>-11.366</td>\n",
+       "      <td>4.616</td>\n",
+       "      <td>-19.907</td>\n",
+       "      <td>-2.425</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"9\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.946</td>\n",
-       "      <td>0.409</td>\n",
-       "      <td>2.170</td>\n",
-       "      <td>3.702</td>\n",
+       "      <td>2.872</td>\n",
+       "      <td>0.402</td>\n",
+       "      <td>2.141</td>\n",
+       "      <td>3.645</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-1.715</td>\n",
-       "      <td>0.413</td>\n",
-       "      <td>-2.431</td>\n",
-       "      <td>-0.864</td>\n",
+       "      <td>-2.192</td>\n",
+       "      <td>0.372</td>\n",
+       "      <td>-2.917</td>\n",
+       "      <td>-1.530</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.181</td>\n",
-       "      <td>0.489</td>\n",
-       "      <td>-0.743</td>\n",
-       "      <td>1.081</td>\n",
+       "      <td>0.423</td>\n",
+       "      <td>0.501</td>\n",
+       "      <td>-0.496</td>\n",
+       "      <td>1.343</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.163</td>\n",
-       "      <td>0.371</td>\n",
-       "      <td>-0.536</td>\n",
-       "      <td>0.866</td>\n",
+       "      <td>0.455</td>\n",
+       "      <td>0.346</td>\n",
+       "      <td>-0.221</td>\n",
+       "      <td>1.066</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>0.045</td>\n",
-       "      <td>0.627</td>\n",
-       "      <td>-1.112</td>\n",
-       "      <td>1.227</td>\n",
+       "      <td>-0.032</td>\n",
+       "      <td>0.615</td>\n",
+       "      <td>-1.156</td>\n",
+       "      <td>1.160</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-1.181</td>\n",
-       "      <td>0.629</td>\n",
+       "      <td>-1.236</td>\n",
+       "      <td>0.616</td>\n",
        "      <td>-2.379</td>\n",
-       "      <td>-0.028</td>\n",
+       "      <td>-0.069</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>-0.013</td>\n",
-       "      <td>0.468</td>\n",
-       "      <td>-0.904</td>\n",
-       "      <td>0.857</td>\n",
+       "      <td>-0.172</td>\n",
+       "      <td>0.471</td>\n",
+       "      <td>-1.069</td>\n",
+       "      <td>0.696</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.836</td>\n",
-       "      <td>2.760</td>\n",
-       "      <td>-2.286</td>\n",
-       "      <td>7.914</td>\n",
+       "      <td>3.728</td>\n",
+       "      <td>2.783</td>\n",
+       "      <td>-1.481</td>\n",
+       "      <td>8.851</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>10.037</td>\n",
-       "      <td>-19.449</td>\n",
-       "      <td>17.857</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>10.027</td>\n",
+       "      <td>-17.970</td>\n",
+       "      <td>19.673</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"8\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.820</td>\n",
-       "      <td>0.395</td>\n",
-       "      <td>2.092</td>\n",
-       "      <td>3.599</td>\n",
+       "      <td>2.824</td>\n",
+       "      <td>0.403</td>\n",
+       "      <td>2.071</td>\n",
+       "      <td>3.574</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.267</td>\n",
-       "      <td>0.346</td>\n",
-       "      <td>-2.896</td>\n",
-       "      <td>-1.614</td>\n",
+       "      <td>-2.268</td>\n",
+       "      <td>0.341</td>\n",
+       "      <td>-2.906</td>\n",
+       "      <td>-1.615</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.626</td>\n",
-       "      <td>0.461</td>\n",
-       "      <td>-0.238</td>\n",
-       "      <td>1.491</td>\n",
+       "      <td>0.623</td>\n",
+       "      <td>0.460</td>\n",
+       "      <td>-0.262</td>\n",
+       "      <td>1.478</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.499</td>\n",
-       "      <td>0.344</td>\n",
-       "      <td>-0.118</td>\n",
-       "      <td>1.164</td>\n",
+       "      <td>0.502</td>\n",
+       "      <td>0.340</td>\n",
+       "      <td>-0.131</td>\n",
+       "      <td>1.134</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
        "      <td>0.021</td>\n",
-       "      <td>0.612</td>\n",
-       "      <td>-1.104</td>\n",
-       "      <td>1.184</td>\n",
+       "      <td>0.628</td>\n",
+       "      <td>-1.146</td>\n",
+       "      <td>1.219</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-1.282</td>\n",
-       "      <td>0.612</td>\n",
-       "      <td>-2.456</td>\n",
-       "      <td>-0.148</td>\n",
+       "      <td>-1.277</td>\n",
+       "      <td>0.628</td>\n",
+       "      <td>-2.431</td>\n",
+       "      <td>-0.075</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>-0.318</td>\n",
-       "      <td>0.458</td>\n",
-       "      <td>-1.149</td>\n",
-       "      <td>0.581</td>\n",
+       "      <td>-0.316</td>\n",
+       "      <td>0.455</td>\n",
+       "      <td>-1.122</td>\n",
+       "      <td>0.573</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.924</td>\n",
-       "      <td>0.216</td>\n",
-       "      <td>1.518</td>\n",
-       "      <td>2.334</td>\n",
+       "      <td>1.923</td>\n",
+       "      <td>0.214</td>\n",
+       "      <td>1.533</td>\n",
+       "      <td>2.328</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4202,33 +4214,33 @@
       ],
       "text/plain": [
        "                                             mean      sd  hdi_3%  hdi_97%  \\\n",
-       "1-stage-model     alpha_trt                -1.143   0.063  -1.261   -1.028   \n",
-       "                  beta_[trt]                3.069   0.411   2.331    3.883   \n",
-       "                  beta_[age]               -1.352   0.558  -2.407   -0.325   \n",
-       "                  beta_[smokeintensity]    -0.321   0.613  -1.505    0.799   \n",
-       "                  beta_[smokeyrs]           0.104   0.429  -0.706    0.908   \n",
-       "                  beta_[wt71]               0.066   0.647  -1.131    1.280   \n",
-       "                  beta_[wt71^2]            -0.975   0.667  -2.271    0.232   \n",
-       "                  beta_[smokeintensity^2]   0.265   0.534  -0.733    1.286   \n",
-       "                  alpha_outcome             4.722   1.203   2.514    7.006   \n",
-       "                  beta_ps                 -11.172   4.698 -20.527   -2.890   \n",
-       "2-stage-model     beta_[trt]                2.946   0.409   2.170    3.702   \n",
-       "                  beta_[age]               -1.715   0.413  -2.431   -0.864   \n",
-       "                  beta_[smokeintensity]     0.181   0.489  -0.743    1.081   \n",
-       "                  beta_[smokeyrs]           0.163   0.371  -0.536    0.866   \n",
-       "                  beta_[wt71]               0.045   0.627  -1.112    1.227   \n",
-       "                  beta_[wt71^2]            -1.181   0.629  -2.379   -0.028   \n",
-       "                  beta_[smokeintensity^2]  -0.013   0.468  -0.904    0.857   \n",
-       "                  alpha_outcome             2.836   2.760  -2.286    7.914   \n",
-       "                  beta_ps                  -0.047  10.037 -19.449   17.857   \n",
-       "Simple Regression beta_[trt]                2.820   0.395   2.092    3.599   \n",
-       "                  beta_[age]               -2.267   0.346  -2.896   -1.614   \n",
-       "                  beta_[smokeintensity]     0.626   0.461  -0.238    1.491   \n",
-       "                  beta_[smokeyrs]           0.499   0.344  -0.118    1.164   \n",
-       "                  beta_[wt71]               0.021   0.612  -1.104    1.184   \n",
-       "                  beta_[wt71^2]            -1.282   0.612  -2.456   -0.148   \n",
-       "                  beta_[smokeintensity^2]  -0.318   0.458  -1.149    0.581   \n",
-       "                  alpha_outcome             1.924   0.216   1.518    2.334   \n",
+       "1-stage-model     alpha_trt                -1.145   0.061  -1.257   -1.029   \n",
+       "                  beta_[trt]                3.068   0.406   2.304    3.820   \n",
+       "                  beta_[age]               -1.334   0.553  -2.351   -0.283   \n",
+       "                  beta_[smokeintensity]    -0.332   0.613  -1.486    0.850   \n",
+       "                  beta_[smokeyrs]           0.095   0.422  -0.676    0.890   \n",
+       "                  beta_[wt71]               0.063   0.637  -1.153    1.238   \n",
+       "                  beta_[wt71^2]            -0.965   0.666  -2.206    0.295   \n",
+       "                  beta_[smokeintensity^2]   0.268   0.543  -0.776    1.273   \n",
+       "                  alpha_outcome             4.772   1.188   2.518    7.036   \n",
+       "                  beta_ps                 -11.366   4.616 -19.907   -2.425   \n",
+       "2-stage-model     beta_[trt]                2.872   0.402   2.141    3.645   \n",
+       "                  beta_[age]               -2.192   0.372  -2.917   -1.530   \n",
+       "                  beta_[smokeintensity]     0.423   0.501  -0.496    1.343   \n",
+       "                  beta_[smokeyrs]           0.455   0.346  -0.221    1.066   \n",
+       "                  beta_[wt71]              -0.032   0.615  -1.156    1.160   \n",
+       "                  beta_[wt71^2]            -1.236   0.616  -2.379   -0.069   \n",
+       "                  beta_[smokeintensity^2]  -0.172   0.471  -1.069    0.696   \n",
+       "                  alpha_outcome             3.728   2.783  -1.481    8.851   \n",
+       "                  beta_ps                   0.024  10.027 -17.970   19.673   \n",
+       "Simple Regression beta_[trt]                2.824   0.403   2.071    3.574   \n",
+       "                  beta_[age]               -2.268   0.341  -2.906   -1.615   \n",
+       "                  beta_[smokeintensity]     0.623   0.460  -0.262    1.478   \n",
+       "                  beta_[smokeyrs]           0.502   0.340  -0.131    1.134   \n",
+       "                  beta_[wt71]               0.021   0.628  -1.146    1.219   \n",
+       "                  beta_[wt71^2]            -1.277   0.628  -2.431   -0.075   \n",
+       "                  beta_[smokeintensity^2]  -0.316   0.455  -1.122    0.573   \n",
+       "                  alpha_outcome             1.923   0.214   1.533    2.328   \n",
        "\n",
        "                                           r_hat  \n",
        "1-stage-model     alpha_trt                  1.0  \n",
@@ -4289,7 +4301,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4327,7 +4339,7 @@
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std]\n",
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 24 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 25 seconds.\n",
       "Sampling: [beta_std, t_pred]\n",
       "Sampling: [t_pred]\n"
      ]
@@ -4335,7 +4347,7 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x17ae23380>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x17e38d7f0>"
       ]
      },
      "execution_count": 37,
@@ -4419,7 +4431,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 39,
    "metadata": {
     "tags": [
      "hide-output"
@@ -4430,13 +4442,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling: [a_outcome, beta_ps, beta_std, like, sigma]\n",
+      "Sampling: [beta_ps, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [beta_std, beta_ps, a_outcome, sigma]\n",
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n",
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 52 seconds.\n"
+      "NUTS: [beta_std, beta_ps, sigma]\n",
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 34 seconds.\n"
      ]
     }
    ],
@@ -4445,7 +4455,7 @@
     "    result.X_outcome,\n",
     "    result.y,\n",
     "    result.coords,\n",
-    "    priors={\"b_outcome\": [0, 1], \"a_outcome\": [0, 20], \"sigma\": 2, \"beta_ps\": [0, 10]},\n",
+    "    priors={\"b_outcome\": [0, 1], \"sigma\": 10, \"beta_ps\": [0, 10]},\n",
     "    noncentred=True,\n",
     "    normal_outcome=True,\n",
     ")"
@@ -4460,7 +4470,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -4498,194 +4508,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
-       "      <td>0.011</td>\n",
-       "      <td>0.994</td>\n",
-       "      <td>-1.862</td>\n",
-       "      <td>1.879</td>\n",
+       "      <td>1.522</td>\n",
+       "      <td>0.739</td>\n",
+       "      <td>0.175</td>\n",
+       "      <td>2.943</td>\n",
        "      <td>0.006</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>32100.0</td>\n",
-       "      <td>26694.0</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>15468.0</td>\n",
+       "      <td>23070.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-1.475</td>\n",
-       "      <td>0.536</td>\n",
-       "      <td>-2.468</td>\n",
-       "      <td>-0.454</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>-2.148</td>\n",
+       "      <td>0.446</td>\n",
+       "      <td>-3.010</td>\n",
+       "      <td>-1.337</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>14388.0</td>\n",
-       "      <td>21665.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>19468.0</td>\n",
+       "      <td>25010.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>-0.077</td>\n",
-       "      <td>0.270</td>\n",
-       "      <td>-0.587</td>\n",
-       "      <td>0.428</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>0.231</td>\n",
+       "      <td>0.233</td>\n",
+       "      <td>-0.205</td>\n",
+       "      <td>0.670</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>17042.0</td>\n",
-       "      <td>23987.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>24450.0</td>\n",
+       "      <td>29831.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-1.050</td>\n",
-       "      <td>0.333</td>\n",
-       "      <td>-1.669</td>\n",
-       "      <td>-0.420</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>-0.635</td>\n",
+       "      <td>0.278</td>\n",
+       "      <td>-1.148</td>\n",
+       "      <td>-0.106</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>14131.0</td>\n",
-       "      <td>21721.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>21324.0</td>\n",
+       "      <td>29625.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>-0.054</td>\n",
-       "      <td>0.289</td>\n",
-       "      <td>-0.592</td>\n",
-       "      <td>0.496</td>\n",
+       "      <td>0.299</td>\n",
+       "      <td>0.243</td>\n",
+       "      <td>-0.160</td>\n",
+       "      <td>0.749</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>16390.0</td>\n",
-       "      <td>24072.0</td>\n",
+       "      <td>23157.0</td>\n",
+       "      <td>27719.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>-0.096</td>\n",
-       "      <td>0.453</td>\n",
-       "      <td>-0.946</td>\n",
-       "      <td>0.762</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>0.368</td>\n",
+       "      <td>0.404</td>\n",
+       "      <td>-0.376</td>\n",
+       "      <td>1.141</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>16581.0</td>\n",
-       "      <td>23872.0</td>\n",
+       "      <td>22539.0</td>\n",
+       "      <td>28100.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.394</td>\n",
-       "      <td>0.206</td>\n",
-       "      <td>-1.792</td>\n",
-       "      <td>-1.013</td>\n",
+       "      <td>-1.460</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>-1.849</td>\n",
+       "      <td>-1.073</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>39942.0</td>\n",
-       "      <td>28823.0</td>\n",
+       "      <td>51664.0</td>\n",
+       "      <td>29656.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.468</td>\n",
+       "      <td>-0.544</td>\n",
        "      <td>0.205</td>\n",
-       "      <td>-0.862</td>\n",
-       "      <td>-0.091</td>\n",
+       "      <td>-0.937</td>\n",
+       "      <td>-0.165</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>32808.0</td>\n",
-       "      <td>29870.0</td>\n",
+       "      <td>43374.0</td>\n",
+       "      <td>28836.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.070</td>\n",
-       "      <td>0.201</td>\n",
-       "      <td>-0.453</td>\n",
-       "      <td>0.303</td>\n",
+       "      <td>-0.122</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>-0.499</td>\n",
+       "      <td>0.256</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>33692.0</td>\n",
-       "      <td>28756.0</td>\n",
+       "      <td>49973.0</td>\n",
+       "      <td>30811.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.358</td>\n",
-       "      <td>0.241</td>\n",
-       "      <td>-0.082</td>\n",
-       "      <td>0.824</td>\n",
+       "      <td>0.390</td>\n",
+       "      <td>0.240</td>\n",
+       "      <td>-0.054</td>\n",
+       "      <td>0.848</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>29735.0</td>\n",
-       "      <td>29850.0</td>\n",
+       "      <td>33809.0</td>\n",
+       "      <td>31209.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.340</td>\n",
-       "      <td>0.260</td>\n",
-       "      <td>-0.165</td>\n",
-       "      <td>0.817</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>0.365</td>\n",
+       "      <td>0.262</td>\n",
+       "      <td>-0.129</td>\n",
+       "      <td>0.857</td>\n",
+       "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>27375.0</td>\n",
-       "      <td>28532.0</td>\n",
+       "      <td>31960.0</td>\n",
+       "      <td>31692.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.239</td>\n",
-       "      <td>0.233</td>\n",
-       "      <td>-0.188</td>\n",
-       "      <td>0.690</td>\n",
+       "      <td>0.385</td>\n",
+       "      <td>0.225</td>\n",
+       "      <td>-0.047</td>\n",
+       "      <td>0.794</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>24271.0</td>\n",
-       "      <td>28684.0</td>\n",
+       "      <td>34347.0</td>\n",
+       "      <td>31045.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>0.165</td>\n",
-       "      <td>0.273</td>\n",
-       "      <td>-0.337</td>\n",
-       "      <td>0.696</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>-0.082</td>\n",
+       "      <td>0.248</td>\n",
+       "      <td>-0.544</td>\n",
+       "      <td>0.388</td>\n",
+       "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>21413.0</td>\n",
-       "      <td>27762.0</td>\n",
+       "      <td>28284.0</td>\n",
+       "      <td>29972.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.254</td>\n",
-       "      <td>0.261</td>\n",
-       "      <td>-0.225</td>\n",
-       "      <td>0.752</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>0.150</td>\n",
+       "      <td>0.258</td>\n",
+       "      <td>-0.336</td>\n",
+       "      <td>0.630</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>28062.0</td>\n",
-       "      <td>28627.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>35392.0</td>\n",
+       "      <td>29346.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.380</td>\n",
-       "      <td>0.296</td>\n",
-       "      <td>-0.185</td>\n",
-       "      <td>0.930</td>\n",
+       "      <td>0.149</td>\n",
+       "      <td>0.279</td>\n",
+       "      <td>-0.378</td>\n",
+       "      <td>0.668</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>20834.0</td>\n",
-       "      <td>26865.0</td>\n",
+       "      <td>28280.0</td>\n",
+       "      <td>30076.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.828</td>\n",
-       "      <td>0.403</td>\n",
-       "      <td>2.076</td>\n",
-       "      <td>3.589</td>\n",
+       "      <td>2.847</td>\n",
+       "      <td>0.405</td>\n",
+       "      <td>2.103</td>\n",
+       "      <td>3.620</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>38409.0</td>\n",
-       "      <td>26760.0</td>\n",
+       "      <td>52641.0</td>\n",
+       "      <td>27874.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4694,43 +4704,43 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]       0.011  0.994  -1.862    1.879      0.006    0.005   \n",
-       "beta_[age]            -1.475  0.536  -2.468   -0.454      0.004    0.003   \n",
-       "beta_[race]           -0.077  0.270  -0.587    0.428      0.002    0.001   \n",
-       "beta_[sex]            -1.050  0.333  -1.669   -0.420      0.003    0.002   \n",
-       "beta_[smokeintensity] -0.054  0.289  -0.592    0.496      0.002    0.001   \n",
-       "beta_[smokeyrs]       -0.096  0.453  -0.946    0.762      0.004    0.002   \n",
-       "beta_[wt71]           -1.394  0.206  -1.792   -1.013      0.001    0.001   \n",
-       "beta_[active_1]       -0.468  0.205  -0.862   -0.091      0.001    0.001   \n",
-       "beta_[active_2]       -0.070  0.201  -0.453    0.303      0.001    0.001   \n",
-       "beta_[education_2]     0.358  0.241  -0.082    0.824      0.001    0.001   \n",
-       "beta_[education_3]     0.340  0.260  -0.165    0.817      0.002    0.001   \n",
-       "beta_[education_4]     0.239  0.233  -0.188    0.690      0.001    0.001   \n",
-       "beta_[education_5]     0.165  0.273  -0.337    0.696      0.002    0.001   \n",
-       "beta_[exercise_1]      0.254  0.261  -0.225    0.752      0.002    0.001   \n",
-       "beta_[exercise_2]      0.380  0.296  -0.185    0.930      0.002    0.001   \n",
-       "beta_[trt]             2.828  0.403   2.076    3.589      0.002    0.002   \n",
+       "beta_[Intercept]       1.522  0.739   0.175    2.943      0.006    0.004   \n",
+       "beta_[age]            -2.148  0.446  -3.010   -1.337      0.003    0.002   \n",
+       "beta_[race]            0.231  0.233  -0.205    0.670      0.001    0.001   \n",
+       "beta_[sex]            -0.635  0.278  -1.148   -0.106      0.002    0.001   \n",
+       "beta_[smokeintensity]  0.299  0.243  -0.160    0.749      0.002    0.001   \n",
+       "beta_[smokeyrs]        0.368  0.404  -0.376    1.141      0.003    0.002   \n",
+       "beta_[wt71]           -1.460  0.207  -1.849   -1.073      0.001    0.001   \n",
+       "beta_[active_1]       -0.544  0.205  -0.937   -0.165      0.001    0.001   \n",
+       "beta_[active_2]       -0.122  0.200  -0.499    0.256      0.001    0.001   \n",
+       "beta_[education_2]     0.390  0.240  -0.054    0.848      0.001    0.001   \n",
+       "beta_[education_3]     0.365  0.262  -0.129    0.857      0.001    0.001   \n",
+       "beta_[education_4]     0.385  0.225  -0.047    0.794      0.001    0.001   \n",
+       "beta_[education_5]    -0.082  0.248  -0.544    0.388      0.001    0.001   \n",
+       "beta_[exercise_1]      0.150  0.258  -0.336    0.630      0.001    0.001   \n",
+       "beta_[exercise_2]      0.149  0.279  -0.378    0.668      0.002    0.001   \n",
+       "beta_[trt]             2.847  0.405   2.103    3.620      0.002    0.002   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]        32100.0   26694.0    1.0  \n",
-       "beta_[age]              14388.0   21665.0    1.0  \n",
-       "beta_[race]             17042.0   23987.0    1.0  \n",
-       "beta_[sex]              14131.0   21721.0    1.0  \n",
-       "beta_[smokeintensity]   16390.0   24072.0    1.0  \n",
-       "beta_[smokeyrs]         16581.0   23872.0    1.0  \n",
-       "beta_[wt71]             39942.0   28823.0    1.0  \n",
-       "beta_[active_1]         32808.0   29870.0    1.0  \n",
-       "beta_[active_2]         33692.0   28756.0    1.0  \n",
-       "beta_[education_2]      29735.0   29850.0    1.0  \n",
-       "beta_[education_3]      27375.0   28532.0    1.0  \n",
-       "beta_[education_4]      24271.0   28684.0    1.0  \n",
-       "beta_[education_5]      21413.0   27762.0    1.0  \n",
-       "beta_[exercise_1]       28062.0   28627.0    1.0  \n",
-       "beta_[exercise_2]       20834.0   26865.0    1.0  \n",
-       "beta_[trt]              38409.0   26760.0    1.0  "
+       "beta_[Intercept]        15468.0   23070.0    1.0  \n",
+       "beta_[age]              19468.0   25010.0    1.0  \n",
+       "beta_[race]             24450.0   29831.0    1.0  \n",
+       "beta_[sex]              21324.0   29625.0    1.0  \n",
+       "beta_[smokeintensity]   23157.0   27719.0    1.0  \n",
+       "beta_[smokeyrs]         22539.0   28100.0    1.0  \n",
+       "beta_[wt71]             51664.0   29656.0    1.0  \n",
+       "beta_[active_1]         43374.0   28836.0    1.0  \n",
+       "beta_[active_2]         49973.0   30811.0    1.0  \n",
+       "beta_[education_2]      33809.0   31209.0    1.0  \n",
+       "beta_[education_3]      31960.0   31692.0    1.0  \n",
+       "beta_[education_4]      34347.0   31045.0    1.0  \n",
+       "beta_[education_5]      28284.0   29972.0    1.0  \n",
+       "beta_[exercise_1]       35392.0   29346.0    1.0  \n",
+       "beta_[exercise_2]       28280.0   30076.0    1.0  \n",
+       "beta_[trt]              52641.0   27874.0    1.0  "
       ]
      },
-     "execution_count": 41,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4741,12 +4751,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -4798,7 +4808,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -4814,12 +4824,12 @@
       "pytensor: 2.31.7\n",
       "xarray  : 2025.7.0\n",
       "\n",
-      "numpy     : 2.3.1\n",
-      "patsy     : 1.0.1\n",
-      "causalpy  : 0.4.2\n",
-      "arviz     : 0.21.0\n",
       "matplotlib: 3.10.3\n",
       "pymc      : 5.23.0\n",
+      "numpy     : 2.3.1\n",
+      "arviz     : 0.21.0\n",
+      "causalpy  : 0.4.2\n",
+      "patsy     : 1.0.1\n",
       "pandas    : 2.3.1\n",
       "\n",
       "Watermark: 2.5.0\n",

From ae451cdfe98a467484ba505cc4bdc4ebc52042d2 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Sat, 19 Jul 2025 22:47:53 +0100
Subject: [PATCH 30/31] add winsorisation option and better priors for nhefs

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 causalpy/pymc_models.py                     |   12 +-
 docs/source/notebooks/inv_prop_latent.ipynb | 1675 +++++++++----------
 2 files changed, 830 insertions(+), 857 deletions(-)

diff --git a/causalpy/pymc_models.py b/causalpy/pymc_models.py
index b85710bf..5564ce71 100644
--- a/causalpy/pymc_models.py
+++ b/causalpy/pymc_models.py
@@ -613,13 +613,13 @@ def fit_outcome_model(
         coords,
         priors={
             "b_outcome": [0, 1],
-            "a_outcome": [0, 1],
             "sigma": 1,
             "beta_ps": [0, 1],
         },
         noncentred=True,
         normal_outcome=True,
         spline_component=False,
+        winsorize_boundary=0.0,
     ):
         """
         Fit a Bayesian outcome model using covariates and previously estimated propensity scores.
@@ -643,7 +643,6 @@ def fit_outcome_model(
         priors : dict, optional
             Dictionary specifying priors for outcome model parameters:
                 - "b_outcome": list [mean, std] for regression coefficients.
-                - "a_outcome": list [mean, std] for the intercept.
                 - "sigma": standard deviation of the outcome noise (default 1).
 
         noncentred : bool, default True
@@ -657,6 +656,10 @@ def fit_outcome_model(
             If True, include a spline basis expansion on the propensity score to allow
             flexible (nonlinear) adjustment. Uses B-splines with 30 internal knots.
 
+        winsorize_boundary : float, default 0.0
+            If we wish to winsorize the propensity score this can be set to clip the high
+            and low values of the propensity at 0 + winsorize_boundary and 1-winsorize_boundary
+
         Returns
         -------
         idata_outcome : arviz.InferenceData
@@ -677,8 +680,8 @@ def fit_outcome_model(
         posterior of the treatment model, randomly selecting one posterior draw
         per call. This term is estimated initially in the InversePropensity
         class initialisation.
-        - The term `beta_ps[0] * p + beta_ps[1] * (p * treatment)` captures both
-        main and interaction effects of the propensity score.
+        - The term `beta_ps[0] * p` captures both
+        main effects of the propensity score.
         - Including spline adjustment enables modeling nonlinear relationships
         between the propensity score and the outcome.
 
@@ -711,6 +714,7 @@ class initialisation.
 
             chosen = np.random.choice(range(propensity_scores.shape[1]))
             p = propensity_scores[:, chosen].values
+            p = np.clip(p, winsorize_boundary, 1 - winsorize_boundary)
 
             mu_outcome = pm.math.dot(X_data_outcome, beta) + beta_ps * p
 
diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index bbf22935..41f879cc 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -16,7 +16,13 @@
     "import causalpy as cp\n",
     "\n",
     "## Setting for Mac OS spawning multi-process defaults on M1 chip\n",
-    "sampler_kwargs = {\"tune\": 2000, \"draws\": 2000, \"target_accept\": 0.95, \"mp_ctx\": \"spawn\"}"
+    "sampler_kwargs = {\n",
+    "    \"tune\": 2000,\n",
+    "    \"draws\": 2000,\n",
+    "    \"target_accept\": 0.95,\n",
+    "    \"mp_ctx\": \"spawn\",\n",
+    "    \"random_seed\": 1040,\n",
+    "}"
    ]
   },
   {
@@ -83,7 +89,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -168,7 +174,7 @@
        "4  0.029955  1.773686 -0.455371    1  6.058045"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -217,17 +223,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n"
-     ]
-    },
     {
      "data": {
       "image/svg+xml": [
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        "<g id=\"clust1\" class=\"cluster\">\n",
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        "<path fill=\"none\" stroke=\"black\" d=\"M20,-348.04C20,-348.04 145,-348.04 145,-348.04 151,-348.04 157,-354.04 157,-360.04 157,-360.04 157,-434.04 157,-434.04 157,-440.04 151,-446.04 145,-446.04 145,-446.04 20,-446.04 20,-446.04 14,-446.04 8,-440.04 8,-434.04 8,-434.04 8,-360.04 8,-360.04 8,-354.04 14,-348.04 20,-348.04\"/>\n",
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        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
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        "<!-- X_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge14\" class=\"edge\">\n",
+       "<g id=\"edge13\" class=\"edge\">\n",
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-       "<title>t_pred</title>\n",
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-       "<g id=\"edge8\" class=\"edge\">\n",
-       "<title>p&#45;&gt;t_pred</title>\n",
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-       "</g>\n",
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-       "<g id=\"node6\" class=\"node\">\n",
+       "<g id=\"node3\" class=\"node\">\n",
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+       "<g id=\"node5\" class=\"node\">\n",
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        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"178\" y=\"-47.7\" font-family=\"Times,serif\" font-size=\"14.00\">Data</text>\n",
        "</g>\n",
+       "<!-- p&#45;&gt;like -->\n",
+       "<g id=\"edge12\" class=\"edge\">\n",
+       "<title>p&#45;&gt;like</title>\n",
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+       "<!-- t_pred -->\n",
+       "<g id=\"node7\" class=\"node\">\n",
+       "<title>t_pred</title>\n",
+       "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"178\" cy=\"-174.66\" rx=\"47.38\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"178\" y=\"-186.11\" font-family=\"Times,serif\" font-size=\"14.00\">t_pred</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"178\" y=\"-169.61\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"178\" y=\"-153.11\" font-family=\"Times,serif\" font-size=\"14.00\">Bernoulli</text>\n",
+       "</g>\n",
+       "<!-- p&#45;&gt;t_pred -->\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
+       "<title>p&#45;&gt;t_pred</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M216.52,-262.77C211.31,-250.98 205.11,-236.95 199.22,-223.63\"/>\n",
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        "<g id=\"edge1\" class=\"edge\">\n",
        "<title>t_pred&#45;&gt;T</title>\n",
@@ -381,7 +379,7 @@
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        "</g>\n",
        "<!-- beta_trt_&#45;&gt;p -->\n",
-       "<g id=\"edge7\" class=\"edge\">\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
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@@ -395,7 +393,7 @@
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        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge11\" class=\"edge\">\n",
+       "<g id=\"edge9\" class=\"edge\">\n",
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        "</g>\n",
-       "<!-- alpha_trt -->\n",
+       "<!-- beta_ps -->\n",
        "<g id=\"node12\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"642\" cy=\"-291.98\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"642\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
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+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"642\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- beta_ps&#45;&gt;like -->\n",
+       "<g id=\"edge11\" class=\"edge\">\n",
+       "<title>beta_ps&#45;&gt;like</title>\n",
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        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge12\" class=\"edge\">\n",
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       ],
       "text/plain": [
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+       "<graphviz.graphs.Digraph at 0x1757d70e0>"
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-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
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@@ -516,7 +514,7 @@
     "    with pm.Model(coords=coords) as model:\n",
     "        X_data_trt = pm.Data(\"X\", X_trt, dims=(\"obs\", \"beta_trt\"))\n",
     "        X_data_outcome = pm.Data(\"X_outcome\", X_outcome, dims=(\"obs\", \"betas\"))\n",
-    "        T_data_ = pm.Data(\"T\", T_data, mutable=True, dims=\"obs\")\n",
+    "        T_data_ = pm.Data(\"T\", T_data, dims=\"obs\")\n",
     "        Y_data_ = pm.Data(\"Y\", Y_data, dims=\"obs\")\n",
     "\n",
     "        if noncentred:\n",
@@ -601,7 +599,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
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@@ -649,7 +647,7 @@
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@@ -657,13 +655,21 @@
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        "</g>\n",
        "<!-- X&#45;&gt;p -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
        "<title>X&#45;&gt;p</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M141.85,-356.86C148.35,-346.08 156.65,-334.14 166,-324.82 170.06,-320.77 174.55,-316.9 179.24,-313.26\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"181.2,-316.16 187.2,-307.43 177.07,-310.51 181.2,-316.16\"/>\n",
        "</g>\n",
+       "<!-- T -->\n",
+       "<g id=\"node2\" class=\"node\">\n",
+       "<title>T</title>\n",
+       "<path fill=\"lightgrey\" stroke=\"black\" d=\"M249,-98C249,-98 219,-98 219,-98 213,-98 207,-92 207,-86 207,-86 207,-52.5 207,-52.5 207,-46.5 213,-40.5 219,-40.5 219,-40.5 249,-40.5 249,-40.5 255,-40.5 261,-46.5 261,-52.5 261,-52.5 261,-86 261,-86 261,-92 255,-98 249,-98\"/>\n",
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+       "</g>\n",
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-       "<g id=\"node3\" class=\"node\">\n",
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-       "<g id=\"edge5\" class=\"edge\">\n",
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@@ -736,10 +734,10 @@
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       ],
       "text/plain": [
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+       "<graphviz.graphs.Digraph at 0x176533ce0>"
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-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
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@@ -804,6 +802,7 @@
     "    spline_component=False,\n",
     "    propensity_score_idata=None,\n",
     "    normal_outcome=True,\n",
+    "    winsorize_boundary=0.0,\n",
     "):\n",
     "    propensity_scores = az.extract(propensity_score_idata)[\"p\"]\n",
     "    with pm.Model(coords=coords) as model_outcome:\n",
@@ -825,6 +824,7 @@
     "\n",
     "        chosen = np.random.choice(range(propensity_scores.shape[1]))\n",
     "        p = propensity_scores[:, chosen].values\n",
+    "        p = np.clip(p, winsorize_boundary, 1 - winsorize_boundary)\n",
     "\n",
     "        alpha_outcome = pm.Normal(\n",
     "            \"alpha_outcome\", priors[\"alpha_outcome\"][0], priors[\"alpha_outcome\"][1]\n",
@@ -869,6 +869,7 @@
     "    priors,\n",
     "    spline_component=False,\n",
     "    normal_outcome=True,\n",
+    "    winsorize_boundary=0.0,\n",
     "):\n",
     "    treatment_model = make_treatment_model(X_trt, T_data, coords, priors)\n",
     "    with treatment_model:\n",
@@ -883,6 +884,7 @@
     "        spline_component=spline_component,\n",
     "        propensity_score_idata=idata_treatment,\n",
     "        normal_outcome=normal_outcome,\n",
+    "        winsorize_boundary=winsorize_boundary,\n",
     "    )\n",
     "    with outcome_model:\n",
     "        idata_outcome = pm.sample_prior_predictive()\n",
@@ -907,7 +909,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -976,7 +978,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {
     "tags": [
      "hide-output"
@@ -987,8 +989,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma]\n"
@@ -997,7 +997,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "224b75d3e22d41d1ae2224a9db8e64e1",
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        "version_major": 2,
        "version_minor": 0
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@@ -1030,7 +1030,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 75 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 79 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
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        "version_major": 2,
        "version_minor": 0
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@@ -1096,14 +1096,6 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
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-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
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      "data": {
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@@ -1130,7 +1122,7 @@
     {
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        "version_major": 2,
        "version_minor": 0
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@@ -1155,7 +1147,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 19 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -1165,7 +1157,7 @@
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-       "model_id": "0fb9d736d46c4fd6848a2e52df49827c",
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@@ -1176,14 +1168,6 @@
      "metadata": {},
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-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
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@@ -1198,7 +1182,7 @@
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-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 35 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 34 seconds.\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
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@@ -1207,7 +1191,7 @@
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      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n"
      ]
     }
    ],
    "source": [
     "priors = {\n",
-    "    \"beta_\": [0, 1],\n",
+    "    \"beta_\": [0, 3],\n",
     "    \"beta_trt\": [0, 1],\n",
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [0, 1],\n",
@@ -1282,12 +1266,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -1316,7 +1300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {
     "tags": [
      "hide-input"
@@ -1356,133 +1340,133 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.000</td>\n",
+       "      <td>0.000</td>\n",
        "      <td>0.021</td>\n",
-       "      <td>-0.039</td>\n",
-       "      <td>0.040</td>\n",
+       "      <td>-0.040</td>\n",
+       "      <td>0.041</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.309</td>\n",
+       "      <td>2.314</td>\n",
        "      <td>0.057</td>\n",
-       "      <td>2.203</td>\n",
+       "      <td>2.206</td>\n",
        "      <td>2.419</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.290</td>\n",
-       "      <td>0.069</td>\n",
-       "      <td>1.164</td>\n",
-       "      <td>1.420</td>\n",
+       "      <td>1.296</td>\n",
+       "      <td>0.070</td>\n",
+       "      <td>1.167</td>\n",
+       "      <td>1.428</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-15.291</td>\n",
-       "      <td>0.285</td>\n",
-       "      <td>-15.844</td>\n",
-       "      <td>-14.785</td>\n",
+       "      <td>-15.297</td>\n",
+       "      <td>0.294</td>\n",
+       "      <td>-15.840</td>\n",
+       "      <td>-14.738</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
        "      <td>8.507</td>\n",
-       "      <td>0.157</td>\n",
-       "      <td>8.217</td>\n",
-       "      <td>8.810</td>\n",
+       "      <td>0.161</td>\n",
+       "      <td>8.216</td>\n",
+       "      <td>8.821</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>1.776</td>\n",
-       "      <td>0.186</td>\n",
-       "      <td>1.421</td>\n",
-       "      <td>2.117</td>\n",
+       "      <td>2.058</td>\n",
+       "      <td>0.189</td>\n",
+       "      <td>1.696</td>\n",
+       "      <td>2.398</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.135</td>\n",
-       "      <td>0.042</td>\n",
-       "      <td>1.057</td>\n",
-       "      <td>1.213</td>\n",
+       "      <td>1.155</td>\n",
+       "      <td>0.041</td>\n",
+       "      <td>1.079</td>\n",
+       "      <td>1.235</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.039</td>\n",
-       "      <td>0.061</td>\n",
-       "      <td>2.923</td>\n",
-       "      <td>3.154</td>\n",
+       "      <td>3.067</td>\n",
+       "      <td>0.060</td>\n",
+       "      <td>2.953</td>\n",
+       "      <td>3.176</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-3.810</td>\n",
-       "      <td>0.207</td>\n",
-       "      <td>-4.172</td>\n",
-       "      <td>-3.405</td>\n",
+       "      <td>-4.147</td>\n",
+       "      <td>0.210</td>\n",
+       "      <td>-4.541</td>\n",
+       "      <td>-3.759</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model_spline</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.014</td>\n",
-       "      <td>0.176</td>\n",
-       "      <td>1.693</td>\n",
-       "      <td>2.350</td>\n",
+       "      <td>1.824</td>\n",
+       "      <td>0.179</td>\n",
+       "      <td>1.490</td>\n",
+       "      <td>2.161</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.154</td>\n",
-       "      <td>0.038</td>\n",
-       "      <td>1.084</td>\n",
-       "      <td>1.227</td>\n",
+       "      <td>1.162</td>\n",
+       "      <td>0.040</td>\n",
+       "      <td>1.087</td>\n",
+       "      <td>1.236</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>0.960</td>\n",
-       "      <td>0.297</td>\n",
-       "      <td>0.380</td>\n",
-       "      <td>1.495</td>\n",
+       "      <td>1.007</td>\n",
+       "      <td>0.293</td>\n",
+       "      <td>0.441</td>\n",
+       "      <td>1.544</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.010</td>\n",
-       "      <td>0.986</td>\n",
-       "      <td>-1.924</td>\n",
-       "      <td>1.756</td>\n",
+       "      <td>-0.009</td>\n",
+       "      <td>0.983</td>\n",
+       "      <td>-1.797</td>\n",
+       "      <td>1.880</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-1.309</td>\n",
-       "      <td>0.086</td>\n",
-       "      <td>-1.471</td>\n",
-       "      <td>-1.148</td>\n",
+       "      <td>-1.308</td>\n",
+       "      <td>0.085</td>\n",
+       "      <td>-1.464</td>\n",
+       "      <td>-1.144</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[x1]</th>\n",
-       "      <td>1.106</td>\n",
-       "      <td>0.044</td>\n",
-       "      <td>1.025</td>\n",
+       "      <td>1.107</td>\n",
+       "      <td>0.043</td>\n",
+       "      <td>1.029</td>\n",
        "      <td>1.190</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>2.666</td>\n",
-       "      <td>0.061</td>\n",
-       "      <td>2.550</td>\n",
-       "      <td>2.778</td>\n",
+       "      <td>2.665</td>\n",
+       "      <td>0.060</td>\n",
+       "      <td>2.549</td>\n",
+       "      <td>2.773</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1491,25 +1475,25 @@
       ],
       "text/plain": [
        "                                      mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model        alpha_trt      -0.000  0.021  -0.039    0.040    1.0\n",
-       "                     beta_[trt]      2.309  0.057   2.203    2.419    1.0\n",
-       "                     beta_[x1]       1.290  0.069   1.164    1.420    1.0\n",
-       "                     beta_ps       -15.291  0.285 -15.844  -14.785    1.0\n",
-       "                     alpha_outcome   8.507  0.157   8.217    8.810    1.0\n",
-       "2-stage-model        beta_[trt]      1.776  0.186   1.421    2.117    1.0\n",
-       "                     beta_[x1]       1.135  0.042   1.057    1.213    1.0\n",
-       "                     alpha_outcome   3.039  0.061   2.923    3.154    1.0\n",
-       "                     beta_ps        -3.810  0.207  -4.172   -3.405    1.0\n",
-       "2-stage-model_spline beta_[trt]      2.014  0.176   1.693    2.350    1.0\n",
-       "                     beta_[x1]       1.154  0.038   1.084    1.227    1.0\n",
-       "                     alpha_outcome   0.960  0.297   0.380    1.495    1.0\n",
-       "                     beta_ps        -0.010  0.986  -1.924    1.756    1.0\n",
-       "Simple Regression    beta_[trt]     -1.309  0.086  -1.471   -1.148    1.0\n",
-       "                     beta_[x1]       1.106  0.044   1.025    1.190    1.0\n",
-       "                     alpha_outcome   2.666  0.061   2.550    2.778    1.0"
+       "1-stage-model        alpha_trt       0.000  0.021  -0.040    0.041    1.0\n",
+       "                     beta_[trt]      2.314  0.057   2.206    2.419    1.0\n",
+       "                     beta_[x1]       1.296  0.070   1.167    1.428    1.0\n",
+       "                     beta_ps       -15.297  0.294 -15.840  -14.738    1.0\n",
+       "                     alpha_outcome   8.507  0.161   8.216    8.821    1.0\n",
+       "2-stage-model        beta_[trt]      2.058  0.189   1.696    2.398    1.0\n",
+       "                     beta_[x1]       1.155  0.041   1.079    1.235    1.0\n",
+       "                     alpha_outcome   3.067  0.060   2.953    3.176    1.0\n",
+       "                     beta_ps        -4.147  0.210  -4.541   -3.759    1.0\n",
+       "2-stage-model_spline beta_[trt]      1.824  0.179   1.490    2.161    1.0\n",
+       "                     beta_[x1]       1.162  0.040   1.087    1.236    1.0\n",
+       "                     alpha_outcome   1.007  0.293   0.441    1.544    1.0\n",
+       "                     beta_ps        -0.009  0.983  -1.797    1.880    1.0\n",
+       "Simple Regression    beta_[trt]     -1.308  0.085  -1.464   -1.144    1.0\n",
+       "                     beta_[x1]       1.107  0.043   1.029    1.190    1.0\n",
+       "                     alpha_outcome   2.665  0.060   2.549    2.773    1.0"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1553,7 +1537,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1598,7 +1582,7 @@
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        "</g>\n",
        "<!-- like -->\n",
-       "<g id=\"node3\" class=\"node\">\n",
+       "<g id=\"node4\" class=\"node\">\n",
        "<title>like</title>\n",
        "<ellipse fill=\"lightgrey\" stroke=\"black\" cx=\"217\" cy=\"-174.66\" rx=\"41.01\" ry=\"40.66\"/>\n",
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@@ -1611,8 +1595,22 @@
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        "<polygon fill=\"black\" stroke=\"black\" points=\"177.52,-209.6 183.18,-200.64 173.17,-204.11 177.52,-209.6\"/>\n",
        "</g>\n",
-       "<!-- Y -->\n",
+       "<!-- spline_features -->\n",
        "<g id=\"node2\" class=\"node\">\n",
+       "<title>spline_features</title>\n",
+       "<polygon fill=\"none\" stroke=\"black\" points=\"257.88,-320.73 160.12,-320.73 160.12,-263.23 257.88,-263.23 257.88,-320.73\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"209\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">spline_features</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"209\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"209\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
+       "</g>\n",
+       "<!-- spline_features&#45;&gt;like -->\n",
+       "<g id=\"edge5\" class=\"edge\">\n",
+       "<title>spline_features&#45;&gt;like</title>\n",
+       "<path fill=\"none\" stroke=\"black\" d=\"M210.96,-262.77C211.71,-251.84 212.61,-238.99 213.47,-226.56\"/>\n",
+       "<polygon fill=\"black\" stroke=\"black\" points=\"216.94,-227.06 214.14,-216.84 209.96,-226.58 216.94,-227.06\"/>\n",
+       "</g>\n",
+       "<!-- Y -->\n",
+       "<g id=\"node3\" class=\"node\">\n",
        "<title>Y</title>\n",
        "<path fill=\"lightgrey\" stroke=\"black\" d=\"M232,-98C232,-98 202,-98 202,-98 196,-98 190,-92 190,-86 190,-86 190,-52.5 190,-52.5 190,-46.5 196,-40.5 202,-40.5 202,-40.5 232,-40.5 232,-40.5 238,-40.5 244,-46.5 244,-52.5 244,-52.5 244,-86 244,-86 244,-92 238,-98 232,-98\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"217\" y=\"-80.7\" font-family=\"Times,serif\" font-size=\"14.00\">Y</text>\n",
@@ -1625,20 +1623,6 @@
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        "<polygon fill=\"black\" stroke=\"black\" points=\"220.5,-109.79 217,-99.79 213.5,-109.79 220.5,-109.79\"/>\n",
        "</g>\n",
-       "<!-- spline_features -->\n",
-       "<g id=\"node4\" class=\"node\">\n",
-       "<title>spline_features</title>\n",
-       "<polygon fill=\"none\" stroke=\"black\" points=\"257.88,-320.73 160.12,-320.73 160.12,-263.23 257.88,-263.23 257.88,-320.73\"/>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"209\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">spline_features</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"209\" y=\"-286.93\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"209\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
-       "</g>\n",
-       "<!-- spline_features&#45;&gt;like -->\n",
-       "<g id=\"edge8\" class=\"edge\">\n",
-       "<title>spline_features&#45;&gt;like</title>\n",
-       "<path fill=\"none\" stroke=\"black\" d=\"M210.96,-262.77C211.71,-251.84 212.61,-238.99 213.47,-226.56\"/>\n",
-       "<polygon fill=\"black\" stroke=\"black\" points=\"216.94,-227.06 214.14,-216.84 209.96,-226.58 216.94,-227.06\"/>\n",
-       "</g>\n",
        "<!-- beta_ -->\n",
        "<g id=\"node5\" class=\"node\">\n",
        "<title>beta_</title>\n",
@@ -1648,7 +1632,7 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"327\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">Deterministic</text>\n",
        "</g>\n",
        "<!-- beta_&#45;&gt;like -->\n",
-       "<g id=\"edge5\" class=\"edge\">\n",
+       "<g id=\"edge4\" class=\"edge\">\n",
        "<title>beta_&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M300.37,-262.73C290.81,-252.62 279.94,-241.14 270,-230.73 264.46,-224.92 258.58,-218.78 252.82,-212.79\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"255.61,-210.64 246.15,-205.86 250.56,-215.49 255.61,-210.64\"/>\n",
@@ -1667,8 +1651,16 @@
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        "<polygon fill=\"black\" stroke=\"black\" points=\"330.5,-332.48 327,-322.48 323.5,-332.48 330.5,-332.48\"/>\n",
        "</g>\n",
-       "<!-- alpha_outcome -->\n",
+       "<!-- beta_ps -->\n",
        "<g id=\"node7\" class=\"node\">\n",
+       "<title>beta_ps</title>\n",
+       "<ellipse fill=\"none\" stroke=\"black\" cx=\"429\" cy=\"-413.79\" rx=\"41.01\" ry=\"40.66\"/>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
+       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
+       "</g>\n",
+       "<!-- alpha_outcome -->\n",
+       "<g id=\"node8\" class=\"node\">\n",
        "<title>alpha_outcome</title>\n",
        "<ellipse fill=\"none\" stroke=\"black\" cx=\"460\" cy=\"-291.98\" rx=\"70.18\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"460\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">alpha_outcome</text>\n",
@@ -1676,13 +1668,13 @@
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        "</g>\n",
        "<!-- alpha_outcome&#45;&gt;like -->\n",
-       "<g id=\"edge6\" class=\"edge\">\n",
+       "<g id=\"edge8\" class=\"edge\">\n",
        "<title>alpha_outcome&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M422.79,-257.21C410.99,-247.71 397.49,-238 384,-230.73 347.3,-210.94 302.23,-196.6 268.17,-187.52\"/>\n",
        "<polygon fill=\"black\" stroke=\"black\" points=\"269.09,-184.14 258.53,-185.02 267.33,-190.91 269.09,-184.14\"/>\n",
        "</g>\n",
        "<!-- sigma -->\n",
-       "<g id=\"node8\" class=\"node\">\n",
+       "<g id=\"node9\" class=\"node\">\n",
        "<title>sigma</title>\n",
        "<ellipse fill=\"none\" stroke=\"black\" cx=\"606\" cy=\"-291.98\" rx=\"57.98\" ry=\"40.66\"/>\n",
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"606\" y=\"-303.43\" font-family=\"Times,serif\" font-size=\"14.00\">sigma</text>\n",
@@ -1690,19 +1682,11 @@
        "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"606\" y=\"-270.43\" font-family=\"Times,serif\" font-size=\"14.00\">HalfNormal</text>\n",
        "</g>\n",
        "<!-- sigma&#45;&gt;like -->\n",
-       "<g id=\"edge4\" class=\"edge\">\n",
+       "<g id=\"edge6\" class=\"edge\">\n",
        "<title>sigma&#45;&gt;like</title>\n",
        "<path fill=\"none\" stroke=\"black\" d=\"M575.7,-257.14C565.05,-247.17 552.38,-237.2 539,-230.73 451.12,-188.18 335.81,-177.95 269.71,-175.82\"/>\n",
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        "</g>\n",
-       "<!-- beta_ps -->\n",
-       "<g id=\"node9\" class=\"node\">\n",
-       "<title>beta_ps</title>\n",
-       "<ellipse fill=\"none\" stroke=\"black\" cx=\"429\" cy=\"-413.79\" rx=\"41.01\" ry=\"40.66\"/>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-425.24\" font-family=\"Times,serif\" font-size=\"14.00\">beta_ps</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-408.74\" font-family=\"Times,serif\" font-size=\"14.00\">~</text>\n",
-       "<text xml:space=\"preserve\" text-anchor=\"middle\" x=\"429\" y=\"-392.24\" font-family=\"Times,serif\" font-size=\"14.00\">Normal</text>\n",
-       "</g>\n",
        "<!-- beta_ps_spline -->\n",
        "<g id=\"node10\" class=\"node\">\n",
        "<title>beta_ps_spline</title>\n",
@@ -1721,10 +1705,10 @@
        "</svg>\n"
       ],
       "text/plain": [
-       "<graphviz.graphs.Digraph at 0x285eec050>"
+       "<graphviz.graphs.Digraph at 0x2a173fa70>"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1744,16 +1728,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([0.225, 0.308, 0.38 , 0.442, 0.502, 0.563, 0.624, 0.691, 0.769])"
+       "array([0.224, 0.308, 0.38 , 0.442, 0.502, 0.563, 0.624, 0.691, 0.769])"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1775,16 +1759,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([0.   , 0.001, 0.014, 0.109, 0.505, 0.886, 0.986, 0.999, 1.   ])"
+       "array([0.   , 0.001, 0.014, 0.11 , 0.506, 0.886, 0.986, 0.999, 1.   ])"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1806,12 +1790,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -1862,12 +1846,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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       "text/plain": [
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@@ -1927,7 +1911,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1947,7 +1931,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1960,7 +1944,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "19849eca4cfc4403932aaa335b560d02",
+       "model_id": "f387d98309114befac2d3bb11bb3e357",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1991,7 +1975,7 @@
     {
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-       "model_id": "76fddccaf07244b39f079969e1fcb057",
+       "model_id": "6ed277d9ff43405888abbf28b52549de",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2038,16 +2022,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3.1538039277261327"
+       "3.1563852759535957"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2065,16 +2049,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.844946414162722"
+       "0.8421173040335889"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2092,16 +2076,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "2.3088575135634106"
+       "2.3142679719200068"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2131,7 +2115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -2265,7 +2249,7 @@
        "4         19.2          54    0       44  "
       ]
      },
-     "execution_count": 19,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2279,7 +2263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {
     "tags": [
      "hide-output"
@@ -2290,8 +2274,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma, nu]\n"
@@ -2300,7 +2282,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7d0ffeee51da4e51b212baff0ee0dbbf",
+       "model_id": "fdc478c3ccb841fbbf676f94aea2ede0",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2337,7 +2319,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "06f0517d8f814f4c9bdb9635864accac",
+       "model_id": "4a6df491a6e54be19eadc270b9824b2e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2362,7 +2344,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_std, like, nu, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -2372,7 +2354,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "268e0a4e54004c098ff25411e736cb36",
+       "model_id": "a227d184b8624054bb3a866a22456c0d",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2406,7 +2388,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c639a9b38c9f4436a7a0ea96182e590b",
+       "model_id": "925f5948ec5645b8a11c817ba29a6ee1",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2417,6 +2399,14 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
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@@ -2480,12 +2470,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2516,7 +2506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {
     "tags": [
      "hide-input"
@@ -2556,100 +2546,100 @@
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-0.260</td>\n",
+       "      <td>-0.261</td>\n",
        "      <td>0.051</td>\n",
        "      <td>-0.358</td>\n",
-       "      <td>-0.164</td>\n",
+       "      <td>-0.165</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
        "      <td>-9.931</td>\n",
-       "      <td>0.275</td>\n",
-       "      <td>-10.436</td>\n",
-       "      <td>-9.412</td>\n",
+       "      <td>0.263</td>\n",
+       "      <td>-10.423</td>\n",
+       "      <td>-9.450</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.097</td>\n",
-       "      <td>0.218</td>\n",
-       "      <td>-10.504</td>\n",
-       "      <td>-9.691</td>\n",
+       "      <td>-10.106</td>\n",
+       "      <td>0.223</td>\n",
+       "      <td>-10.505</td>\n",
+       "      <td>-9.666</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-16.222</td>\n",
-       "      <td>0.650</td>\n",
-       "      <td>-17.456</td>\n",
-       "      <td>-15.023</td>\n",
+       "      <td>-16.208</td>\n",
+       "      <td>0.636</td>\n",
+       "      <td>-17.372</td>\n",
+       "      <td>-14.960</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.592</td>\n",
-       "      <td>0.399</td>\n",
-       "      <td>45.884</td>\n",
-       "      <td>47.379</td>\n",
+       "      <td>46.586</td>\n",
+       "      <td>0.397</td>\n",
+       "      <td>45.808</td>\n",
+       "      <td>47.293</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-10.075</td>\n",
-       "      <td>0.325</td>\n",
-       "      <td>-10.686</td>\n",
-       "      <td>-9.464</td>\n",
+       "      <td>-10.053</td>\n",
+       "      <td>0.316</td>\n",
+       "      <td>-10.640</td>\n",
+       "      <td>-9.475</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.675</td>\n",
-       "      <td>0.191</td>\n",
-       "      <td>-11.022</td>\n",
-       "      <td>-10.304</td>\n",
+       "      <td>-10.593</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>-10.947</td>\n",
+       "      <td>-10.232</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>41.935</td>\n",
-       "      <td>0.416</td>\n",
-       "      <td>41.111</td>\n",
-       "      <td>42.669</td>\n",
+       "      <td>42.202</td>\n",
+       "      <td>0.415</td>\n",
+       "      <td>41.418</td>\n",
+       "      <td>42.976</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-6.477</td>\n",
-       "      <td>0.944</td>\n",
-       "      <td>-8.224</td>\n",
-       "      <td>-4.717</td>\n",
+       "      <td>-7.146</td>\n",
+       "      <td>0.938</td>\n",
+       "      <td>-8.913</td>\n",
+       "      <td>-5.427</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"3\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-8.527</td>\n",
-       "      <td>0.339</td>\n",
-       "      <td>-9.174</td>\n",
-       "      <td>-7.906</td>\n",
+       "      <td>-8.534</td>\n",
+       "      <td>0.338</td>\n",
+       "      <td>-9.198</td>\n",
+       "      <td>-7.920</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-11.520</td>\n",
-       "      <td>0.170</td>\n",
-       "      <td>-11.840</td>\n",
-       "      <td>-11.203</td>\n",
+       "      <td>-11.515</td>\n",
+       "      <td>0.169</td>\n",
+       "      <td>-11.831</td>\n",
+       "      <td>-11.193</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>37.830</td>\n",
-       "      <td>0.218</td>\n",
-       "      <td>37.427</td>\n",
-       "      <td>38.250</td>\n",
+       "      <td>37.832</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>37.439</td>\n",
+       "      <td>38.255</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2658,21 +2648,21 @@
       ],
       "text/plain": [
        "                                   mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model     alpha_trt      -0.260  0.051  -0.358   -0.164    1.0\n",
-       "                  beta_[trt]     -9.931  0.275 -10.436   -9.412    1.0\n",
-       "                  beta_[income] -10.097  0.218 -10.504   -9.691    1.0\n",
-       "                  beta_ps       -16.222  0.650 -17.456  -15.023    1.0\n",
-       "                  alpha_outcome  46.592  0.399  45.884   47.379    1.0\n",
-       "2-stage-model     beta_[trt]    -10.075  0.325 -10.686   -9.464    1.0\n",
-       "                  beta_[income] -10.675  0.191 -11.022  -10.304    1.0\n",
-       "                  alpha_outcome  41.935  0.416  41.111   42.669    1.0\n",
-       "                  beta_ps        -6.477  0.944  -8.224   -4.717    1.0\n",
-       "Simple Regression beta_[trt]     -8.527  0.339  -9.174   -7.906    1.0\n",
-       "                  beta_[income] -11.520  0.170 -11.840  -11.203    1.0\n",
-       "                  alpha_outcome  37.830  0.218  37.427   38.250    1.0"
+       "1-stage-model     alpha_trt      -0.261  0.051  -0.358   -0.165    1.0\n",
+       "                  beta_[trt]     -9.931  0.263 -10.423   -9.450    1.0\n",
+       "                  beta_[income] -10.106  0.223 -10.505   -9.666    1.0\n",
+       "                  beta_ps       -16.208  0.636 -17.372  -14.960    1.0\n",
+       "                  alpha_outcome  46.586  0.397  45.808   47.293    1.0\n",
+       "2-stage-model     beta_[trt]    -10.053  0.316 -10.640   -9.475    1.0\n",
+       "                  beta_[income] -10.593  0.192 -10.947  -10.232    1.0\n",
+       "                  alpha_outcome  42.202  0.415  41.418   42.976    1.0\n",
+       "                  beta_ps        -7.146  0.938  -8.913   -5.427    1.0\n",
+       "Simple Regression beta_[trt]     -8.534  0.338  -9.198   -7.920    1.0\n",
+       "                  beta_[income] -11.515  0.169 -11.831  -11.193    1.0\n",
+       "                  alpha_outcome  37.832  0.216  37.439   38.255    1.0"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2704,16 +2694,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([0.181, 0.249, 0.31 , 0.37 , 0.43 , 0.501, 0.571, 0.643, 0.727])"
+       "array([0.181, 0.249, 0.31 , 0.369, 0.43 , 0.5  , 0.571, 0.643, 0.727])"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2733,7 +2723,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -2742,7 +2732,7 @@
        "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2755,12 +2745,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2791,7 +2781,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -2925,7 +2915,7 @@
        "4    289.7899   False  False  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2939,7 +2929,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -2951,7 +2941,7 @@
        "Name: re78, dtype: float64"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2969,7 +2959,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {
     "tags": [
      "hide-output"
@@ -2980,8 +2970,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_trt_, beta_, beta_ps, alpha_trt, alpha_outcome, sigma]\n"
@@ -2990,7 +2978,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d6335397be4d4d81903b28a965be22c8",
+       "model_id": "19a72e7b6a874f1e8d1b7da9064c2528",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3005,10 +2993,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n",
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
@@ -3039,7 +3023,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b37eb6410531418d9d91cbb514227de5",
+       "model_id": "eb3c40ab89644c4f8b25d4364376c352",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3074,7 +3058,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "26b47660f83e456892c665a5b114e9d1",
+       "model_id": "3237631d1d8b47b0960447a236d408d4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3085,14 +3069,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
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@@ -3107,7 +3083,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 14 seconds.\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std, alpha_outcome, sigma]\n"
@@ -3116,7 +3092,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2439cc7a3f24484d906145bdb19c9395",
+       "model_id": "4d1312f9216f485282c96972d4143748",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3127,6 +3103,22 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -3141,7 +3133,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 10 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 11 seconds.\n"
      ]
     }
    ],
@@ -3172,7 +3164,7 @@
     "    \"alpha_trt\": [0, 1],\n",
     "    \"alpha_outcome\": [2000, 500],\n",
     "    \"sigma\": 500,\n",
-    "    \"beta_ps\": [0, 300],\n",
+    "    \"beta_ps\": [0, 30],\n",
     "}\n",
     "\n",
     "lalonde_model = make_joint_model(\n",
@@ -3188,7 +3180,14 @@
     "    treatment_model_lalonde,\n",
     "    outcome_model_lalonde,\n",
     ") = make_2step_model(\n",
-    "    X_trt, X_outcome, T_data, Y_data, coords, priors=priors, spline_component=True\n",
+    "    X_trt,\n",
+    "    X_outcome,\n",
+    "    T_data,\n",
+    "    Y_data,\n",
+    "    coords,\n",
+    "    priors=priors,\n",
+    "    spline_component=True,\n",
+    "    winsorize_boundary=0.1,\n",
     ")\n",
     "\n",
     "reg_model_lalonde, idata_outcome_simple_reg_lalonde = make_reg_model(\n",
@@ -3198,12 +3197,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3227,7 +3226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {
     "tags": [
      "hide-input"
@@ -3267,148 +3266,148 @@
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.356</td>\n",
-       "      <td>0.133</td>\n",
-       "      <td>-1.627</td>\n",
-       "      <td>-1.130</td>\n",
+       "      <td>-1.361</td>\n",
+       "      <td>0.139</td>\n",
+       "      <td>-1.611</td>\n",
+       "      <td>-1.085</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1558.343</td>\n",
-       "      <td>600.038</td>\n",
-       "      <td>409.919</td>\n",
-       "      <td>2668.217</td>\n",
+       "      <td>1592.521</td>\n",
+       "      <td>585.065</td>\n",
+       "      <td>451.033</td>\n",
+       "      <td>2635.694</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-482.183</td>\n",
-       "      <td>489.614</td>\n",
-       "      <td>-1363.161</td>\n",
-       "      <td>445.225</td>\n",
+       "      <td>-456.112</td>\n",
+       "      <td>491.911</td>\n",
+       "      <td>-1373.904</td>\n",
+       "      <td>462.734</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3937.746</td>\n",
-       "      <td>506.244</td>\n",
-       "      <td>3022.241</td>\n",
-       "      <td>4936.721</td>\n",
+       "      <td>3940.202</td>\n",
+       "      <td>512.239</td>\n",
+       "      <td>2959.725</td>\n",
+       "      <td>4871.510</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>90.878</td>\n",
-       "      <td>288.145</td>\n",
-       "      <td>-446.644</td>\n",
-       "      <td>631.736</td>\n",
+       "      <td>0.714</td>\n",
+       "      <td>29.863</td>\n",
+       "      <td>-56.989</td>\n",
+       "      <td>57.170</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4315.509</td>\n",
-       "      <td>374.317</td>\n",
-       "      <td>3614.229</td>\n",
-       "      <td>5000.041</td>\n",
+       "      <td>4316.138</td>\n",
+       "      <td>377.346</td>\n",
+       "      <td>3650.349</td>\n",
+       "      <td>5084.753</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6566.872</td>\n",
-       "      <td>155.626</td>\n",
-       "      <td>6261.723</td>\n",
-       "      <td>6855.186</td>\n",
+       "      <td>6569.967</td>\n",
+       "      <td>150.008</td>\n",
+       "      <td>6304.689</td>\n",
+       "      <td>6862.834</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1669.030</td>\n",
-       "      <td>581.929</td>\n",
-       "      <td>550.930</td>\n",
-       "      <td>2756.638</td>\n",
+       "      <td>1588.023</td>\n",
+       "      <td>560.154</td>\n",
+       "      <td>606.842</td>\n",
+       "      <td>2705.402</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-507.852</td>\n",
-       "      <td>497.123</td>\n",
-       "      <td>-1412.031</td>\n",
-       "      <td>437.028</td>\n",
+       "      <td>-459.243</td>\n",
+       "      <td>493.565</td>\n",
+       "      <td>-1378.890</td>\n",
+       "      <td>456.611</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3888.698</td>\n",
-       "      <td>531.825</td>\n",
-       "      <td>2891.057</td>\n",
-       "      <td>4867.141</td>\n",
+       "      <td>3938.877</td>\n",
+       "      <td>513.101</td>\n",
+       "      <td>2988.612</td>\n",
+       "      <td>4920.545</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-0.638</td>\n",
-       "      <td>303.179</td>\n",
-       "      <td>-582.358</td>\n",
-       "      <td>563.384</td>\n",
+       "      <td>-0.041</td>\n",
+       "      <td>29.752</td>\n",
+       "      <td>-56.003</td>\n",
+       "      <td>56.809</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4230.252</td>\n",
-       "      <td>364.708</td>\n",
-       "      <td>3519.958</td>\n",
-       "      <td>4886.024</td>\n",
+       "      <td>4311.600</td>\n",
+       "      <td>368.082</td>\n",
+       "      <td>3627.173</td>\n",
+       "      <td>5011.784</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6557.500</td>\n",
-       "      <td>152.480</td>\n",
-       "      <td>6275.770</td>\n",
-       "      <td>6848.525</td>\n",
+       "      <td>6569.193</td>\n",
+       "      <td>153.745</td>\n",
+       "      <td>6279.593</td>\n",
+       "      <td>6855.407</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"5\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1591.228</td>\n",
-       "      <td>578.457</td>\n",
-       "      <td>507.054</td>\n",
-       "      <td>2665.353</td>\n",
+       "      <td>1582.104</td>\n",
+       "      <td>582.999</td>\n",
+       "      <td>493.442</td>\n",
+       "      <td>2672.645</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-470.269</td>\n",
-       "      <td>487.714</td>\n",
-       "      <td>-1337.711</td>\n",
-       "      <td>482.535</td>\n",
+       "      <td>-454.568</td>\n",
+       "      <td>492.429</td>\n",
+       "      <td>-1360.717</td>\n",
+       "      <td>461.760</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3933.372</td>\n",
-       "      <td>513.450</td>\n",
-       "      <td>2975.863</td>\n",
-       "      <td>4879.794</td>\n",
+       "      <td>3926.351</td>\n",
+       "      <td>519.744</td>\n",
+       "      <td>2930.813</td>\n",
+       "      <td>4873.111</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4325.801</td>\n",
-       "      <td>375.831</td>\n",
-       "      <td>3661.644</td>\n",
-       "      <td>5063.629</td>\n",
+       "      <td>4320.328</td>\n",
+       "      <td>368.753</td>\n",
+       "      <td>3628.037</td>\n",
+       "      <td>4996.010</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6562.698</td>\n",
-       "      <td>151.504</td>\n",
-       "      <td>6267.833</td>\n",
-       "      <td>6846.425</td>\n",
+       "      <td>6568.130</td>\n",
+       "      <td>149.699</td>\n",
+       "      <td>6293.193</td>\n",
+       "      <td>6860.301</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3417,24 +3416,24 @@
       ],
       "text/plain": [
        "                                       mean       sd    hdi_3%   hdi_97%  \\\n",
-       "1-stage-model     alpha_trt          -1.356    0.133    -1.627    -1.130   \n",
-       "                  beta_[treat]     1558.343  600.038   409.919  2668.217   \n",
-       "                  beta_[nodegree]  -482.183  489.614 -1363.161   445.225   \n",
-       "                  beta_[married]   3937.746  506.244  3022.241  4936.721   \n",
-       "                  beta_ps            90.878  288.145  -446.644   631.736   \n",
-       "                  alpha_outcome    4315.509  374.317  3614.229  5000.041   \n",
-       "                  sigma            6566.872  155.626  6261.723  6855.186   \n",
-       "2-stage-model     beta_[treat]     1669.030  581.929   550.930  2756.638   \n",
-       "                  beta_[nodegree]  -507.852  497.123 -1412.031   437.028   \n",
-       "                  beta_[married]   3888.698  531.825  2891.057  4867.141   \n",
-       "                  beta_ps            -0.638  303.179  -582.358   563.384   \n",
-       "                  alpha_outcome    4230.252  364.708  3519.958  4886.024   \n",
-       "                  sigma            6557.500  152.480  6275.770  6848.525   \n",
-       "Simple Regression beta_[treat]     1591.228  578.457   507.054  2665.353   \n",
-       "                  beta_[nodegree]  -470.269  487.714 -1337.711   482.535   \n",
-       "                  beta_[married]   3933.372  513.450  2975.863  4879.794   \n",
-       "                  alpha_outcome    4325.801  375.831  3661.644  5063.629   \n",
-       "                  sigma            6562.698  151.504  6267.833  6846.425   \n",
+       "1-stage-model     alpha_trt          -1.361    0.139    -1.611    -1.085   \n",
+       "                  beta_[treat]     1592.521  585.065   451.033  2635.694   \n",
+       "                  beta_[nodegree]  -456.112  491.911 -1373.904   462.734   \n",
+       "                  beta_[married]   3940.202  512.239  2959.725  4871.510   \n",
+       "                  beta_ps             0.714   29.863   -56.989    57.170   \n",
+       "                  alpha_outcome    4316.138  377.346  3650.349  5084.753   \n",
+       "                  sigma            6569.967  150.008  6304.689  6862.834   \n",
+       "2-stage-model     beta_[treat]     1588.023  560.154   606.842  2705.402   \n",
+       "                  beta_[nodegree]  -459.243  493.565 -1378.890   456.611   \n",
+       "                  beta_[married]   3938.877  513.101  2988.612  4920.545   \n",
+       "                  beta_ps            -0.041   29.752   -56.003    56.809   \n",
+       "                  alpha_outcome    4311.600  368.082  3627.173  5011.784   \n",
+       "                  sigma            6569.193  153.745  6279.593  6855.407   \n",
+       "Simple Regression beta_[treat]     1582.104  582.999   493.442  2672.645   \n",
+       "                  beta_[nodegree]  -454.568  492.429 -1360.717   461.760   \n",
+       "                  beta_[married]   3926.351  519.744  2930.813  4873.111   \n",
+       "                  alpha_outcome    4320.328  368.753  3628.037  4996.010   \n",
+       "                  sigma            6568.130  149.699  6293.193  6860.301   \n",
        "\n",
        "                                   r_hat  \n",
        "1-stage-model     alpha_trt          1.0  \n",
@@ -3457,7 +3456,7 @@
        "                  sigma              1.0  "
       ]
      },
-     "execution_count": 30,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3491,12 +3490,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3527,7 +3526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -3618,7 +3617,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3630,7 +3629,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {
     "tags": [
      "hide-output"
@@ -3641,8 +3640,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_trt_std, beta_std, beta_ps, alpha_trt, alpha_outcome, sigma]\n"
@@ -3651,7 +3648,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1b64f6011bfc4662b983fb9fc6eed5db",
+       "model_id": "3439c2f49e164092872630d725a3b5b9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3676,7 +3673,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 63 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 58 seconds.\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
       "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
@@ -3688,7 +3685,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "dc3da0cb7e864745990f49f5aa880b5f",
+       "model_id": "c97a34db1f0847f09fc196cf326aa869",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3713,7 +3710,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 40 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 38 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -3723,7 +3720,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f2d3aebe0a694f4fb892dbf182010c21",
+       "model_id": "70a42cc0a7bd4bcba86322a84d9d7f1b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3734,22 +3731,6 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -3764,7 +3745,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 30 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 29 seconds.\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std, alpha_outcome, sigma]\n"
@@ -3773,7 +3754,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3fa35b803add45c98418c8ece47772f4",
+       "model_id": "88c612e911b348cab2326f116eb6060a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3792,14 +3773,6 @@
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
-      "  return 0.5 * np.dot(x, v_out)\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -3814,21 +3787,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 15 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n"
      ]
     }
    ],
    "source": [
     "coords = {\n",
-    "    \"betas\": [\n",
-    "        \"trt\",\n",
-    "        \"age\",\n",
-    "        \"smokeintensity\",\n",
-    "        \"smokeyrs\",\n",
-    "        \"wt71\",\n",
-    "        \"wt71^2\",\n",
-    "        \"smokeintensity^2\",\n",
-    "    ],\n",
+    "    \"betas\": [\"trt\", \"age\", \"race\", \"sex\", \"smokeintensity\", \"smokeyrs\", \"wt71\"],\n",
     "    \"betas_trt\": [\n",
     "        \"age\",\n",
     "        \"race\",\n",
@@ -3877,20 +3842,18 @@
     "]\n",
     "X_trt = (X_trt - X_trt.mean(axis=0)) / X_trt.std(axis=0)\n",
     "# Note the significantly reduced outcome model specification.\n",
-    "X_outcome = df[\n",
-    "    [\"trt\", \"age\", \"smokeintensity\", \"smokeyrs\", \"wt71\", \"wt71^2\", \"smokeintensity^2\"]\n",
-    "]\n",
+    "X_outcome = df[[\"trt\", \"age\", \"race\", \"sex\", \"smokeintensity\", \"smokeyrs\", \"wt71\"]]\n",
     "X_outcome = (X_outcome - X_outcome.mean(axis=0)) / X_outcome.std(axis=0)\n",
     "T_data = df[\"trt\"].values\n",
     "X_outcome[\"trt\"] = T_data\n",
     "Y_data = df[\"outcome\"].values\n",
     "\n",
     "priors = {\n",
-    "    \"beta_\": [0, 1],\n",
+    "    \"beta_\": [0, 3],\n",
     "    \"beta_trt\": [0, 1],\n",
     "    \"alpha_trt\": [0, 1],\n",
-    "    \"alpha_outcome\": [10, 5],\n",
-    "    \"sigma\": 7,\n",
+    "    \"alpha_outcome\": [0, 5],\n",
+    "    \"sigma\": 10,\n",
     "    \"beta_ps\": [0, 10],\n",
     "}\n",
     "\n",
@@ -3905,7 +3868,13 @@
     "    treatment_model_nhefs,\n",
     "    outcome_model_nhefs,\n",
     ") = make_2step_model(\n",
-    "    X_trt, X_outcome, T_data, Y_data, coords, priors=priors, spline_component=True\n",
+    "    X_trt,\n",
+    "    X_outcome,\n",
+    "    T_data,\n",
+    "    Y_data,\n",
+    "    coords,\n",
+    "    priors=priors,\n",
+    "    spline_component=True,\n",
     ")\n",
     "\n",
     "\n",
@@ -3916,12 +3885,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3952,7 +3921,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "metadata": {
     "tags": [
      "hide-input"
@@ -3992,220 +3961,220 @@
        "    <tr>\n",
        "      <th rowspan=\"10\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.145</td>\n",
+       "      <td>-1.146</td>\n",
        "      <td>0.061</td>\n",
-       "      <td>-1.257</td>\n",
-       "      <td>-1.029</td>\n",
+       "      <td>-1.262</td>\n",
+       "      <td>-1.034</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>3.068</td>\n",
-       "      <td>0.406</td>\n",
-       "      <td>2.304</td>\n",
-       "      <td>3.820</td>\n",
+       "      <td>3.487</td>\n",
+       "      <td>0.445</td>\n",
+       "      <td>2.637</td>\n",
+       "      <td>4.310</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-1.334</td>\n",
-       "      <td>0.553</td>\n",
-       "      <td>-2.351</td>\n",
-       "      <td>-0.283</td>\n",
+       "      <td>-1.018</td>\n",
+       "      <td>0.620</td>\n",
+       "      <td>-2.187</td>\n",
+       "      <td>0.128</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>-0.332</td>\n",
-       "      <td>0.613</td>\n",
-       "      <td>-1.486</td>\n",
-       "      <td>0.850</td>\n",
+       "      <th>beta_[race]</th>\n",
+       "      <td>-0.323</td>\n",
+       "      <td>0.273</td>\n",
+       "      <td>-0.822</td>\n",
+       "      <td>0.195</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.095</td>\n",
-       "      <td>0.422</td>\n",
-       "      <td>-0.676</td>\n",
-       "      <td>0.890</td>\n",
+       "      <th>beta_[sex]</th>\n",
+       "      <td>-1.145</td>\n",
+       "      <td>0.295</td>\n",
+       "      <td>-1.706</td>\n",
+       "      <td>-0.599</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[wt71]</th>\n",
-       "      <td>0.063</td>\n",
-       "      <td>0.637</td>\n",
-       "      <td>-1.153</td>\n",
-       "      <td>1.238</td>\n",
+       "      <th>beta_[smokeintensity]</th>\n",
+       "      <td>-0.431</td>\n",
+       "      <td>0.319</td>\n",
+       "      <td>-1.024</td>\n",
+       "      <td>0.175</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-0.965</td>\n",
-       "      <td>0.666</td>\n",
-       "      <td>-2.206</td>\n",
-       "      <td>0.295</td>\n",
+       "      <th>beta_[smokeyrs]</th>\n",
+       "      <td>-0.303</td>\n",
+       "      <td>0.540</td>\n",
+       "      <td>-1.318</td>\n",
+       "      <td>0.702</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>0.268</td>\n",
-       "      <td>0.543</td>\n",
-       "      <td>-0.776</td>\n",
-       "      <td>1.273</td>\n",
+       "      <th>beta_[wt71]</th>\n",
+       "      <td>-1.221</td>\n",
+       "      <td>0.281</td>\n",
+       "      <td>-1.742</td>\n",
+       "      <td>-0.698</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4.772</td>\n",
-       "      <td>1.188</td>\n",
-       "      <td>2.518</td>\n",
-       "      <td>7.036</td>\n",
+       "      <td>5.204</td>\n",
+       "      <td>1.002</td>\n",
+       "      <td>3.223</td>\n",
+       "      <td>7.004</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-11.366</td>\n",
-       "      <td>4.616</td>\n",
-       "      <td>-19.907</td>\n",
-       "      <td>-2.425</td>\n",
+       "      <td>-13.476</td>\n",
+       "      <td>3.820</td>\n",
+       "      <td>-20.775</td>\n",
+       "      <td>-6.420</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"9\" valign=\"top\">2-stage-model</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.872</td>\n",
-       "      <td>0.402</td>\n",
-       "      <td>2.141</td>\n",
-       "      <td>3.645</td>\n",
+       "      <td>3.319</td>\n",
+       "      <td>0.435</td>\n",
+       "      <td>2.517</td>\n",
+       "      <td>4.155</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.192</td>\n",
-       "      <td>0.372</td>\n",
-       "      <td>-2.917</td>\n",
-       "      <td>-1.530</td>\n",
+       "      <td>-1.937</td>\n",
+       "      <td>0.469</td>\n",
+       "      <td>-2.824</td>\n",
+       "      <td>-1.068</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.423</td>\n",
-       "      <td>0.501</td>\n",
-       "      <td>-0.496</td>\n",
-       "      <td>1.343</td>\n",
+       "      <th>beta_[race]</th>\n",
+       "      <td>-0.101</td>\n",
+       "      <td>0.257</td>\n",
+       "      <td>-0.575</td>\n",
+       "      <td>0.392</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.455</td>\n",
-       "      <td>0.346</td>\n",
-       "      <td>-0.221</td>\n",
-       "      <td>1.066</td>\n",
+       "      <th>beta_[sex]</th>\n",
+       "      <td>-0.940</td>\n",
+       "      <td>0.255</td>\n",
+       "      <td>-1.409</td>\n",
+       "      <td>-0.454</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[wt71]</th>\n",
-       "      <td>-0.032</td>\n",
-       "      <td>0.615</td>\n",
-       "      <td>-1.156</td>\n",
-       "      <td>1.160</td>\n",
+       "      <th>beta_[smokeintensity]</th>\n",
+       "      <td>-0.052</td>\n",
+       "      <td>0.255</td>\n",
+       "      <td>-0.542</td>\n",
+       "      <td>0.420</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-1.236</td>\n",
-       "      <td>0.616</td>\n",
-       "      <td>-2.379</td>\n",
-       "      <td>-0.069</td>\n",
+       "      <th>beta_[smokeyrs]</th>\n",
+       "      <td>0.317</td>\n",
+       "      <td>0.424</td>\n",
+       "      <td>-0.510</td>\n",
+       "      <td>1.094</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>-0.172</td>\n",
-       "      <td>0.471</td>\n",
-       "      <td>-1.069</td>\n",
-       "      <td>0.696</td>\n",
+       "      <th>beta_[wt71]</th>\n",
+       "      <td>-1.393</td>\n",
+       "      <td>0.222</td>\n",
+       "      <td>-1.818</td>\n",
+       "      <td>-0.980</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>3.728</td>\n",
-       "      <td>2.783</td>\n",
-       "      <td>-1.481</td>\n",
-       "      <td>8.851</td>\n",
+       "      <td>1.363</td>\n",
+       "      <td>2.904</td>\n",
+       "      <td>-4.256</td>\n",
+       "      <td>6.557</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.024</td>\n",
-       "      <td>10.027</td>\n",
-       "      <td>-17.970</td>\n",
-       "      <td>19.673</td>\n",
+       "      <td>-0.023</td>\n",
+       "      <td>10.048</td>\n",
+       "      <td>-18.154</td>\n",
+       "      <td>19.192</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"8\" valign=\"top\">Simple Regression</th>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.824</td>\n",
-       "      <td>0.403</td>\n",
-       "      <td>2.071</td>\n",
-       "      <td>3.574</td>\n",
+       "      <td>3.270</td>\n",
+       "      <td>0.435</td>\n",
+       "      <td>2.450</td>\n",
+       "      <td>4.087</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.268</td>\n",
-       "      <td>0.341</td>\n",
-       "      <td>-2.906</td>\n",
-       "      <td>-1.615</td>\n",
+       "      <td>-2.427</td>\n",
+       "      <td>0.387</td>\n",
+       "      <td>-3.142</td>\n",
+       "      <td>-1.688</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.623</td>\n",
-       "      <td>0.460</td>\n",
-       "      <td>-0.262</td>\n",
-       "      <td>1.478</td>\n",
+       "      <th>beta_[race]</th>\n",
+       "      <td>0.204</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>-0.141</td>\n",
+       "      <td>0.577</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.502</td>\n",
-       "      <td>0.340</td>\n",
-       "      <td>-0.131</td>\n",
-       "      <td>1.134</td>\n",
+       "      <th>beta_[sex]</th>\n",
+       "      <td>-0.685</td>\n",
+       "      <td>0.218</td>\n",
+       "      <td>-1.096</td>\n",
+       "      <td>-0.278</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[wt71]</th>\n",
-       "      <td>0.021</td>\n",
-       "      <td>0.628</td>\n",
-       "      <td>-1.146</td>\n",
-       "      <td>1.219</td>\n",
+       "      <th>beta_[smokeintensity]</th>\n",
+       "      <td>0.270</td>\n",
+       "      <td>0.199</td>\n",
+       "      <td>-0.088</td>\n",
+       "      <td>0.666</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[wt71^2]</th>\n",
-       "      <td>-1.277</td>\n",
-       "      <td>0.628</td>\n",
-       "      <td>-2.431</td>\n",
-       "      <td>-0.075</td>\n",
+       "      <th>beta_[smokeyrs]</th>\n",
+       "      <td>0.547</td>\n",
+       "      <td>0.393</td>\n",
+       "      <td>-0.203</td>\n",
+       "      <td>1.286</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>beta_[smokeintensity^2]</th>\n",
-       "      <td>-0.316</td>\n",
-       "      <td>0.455</td>\n",
-       "      <td>-1.122</td>\n",
-       "      <td>0.573</td>\n",
+       "      <th>beta_[wt71]</th>\n",
+       "      <td>-1.543</td>\n",
+       "      <td>0.208</td>\n",
+       "      <td>-1.932</td>\n",
+       "      <td>-1.151</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>1.923</td>\n",
-       "      <td>0.214</td>\n",
-       "      <td>1.533</td>\n",
-       "      <td>2.328</td>\n",
+       "      <td>1.795</td>\n",
+       "      <td>0.216</td>\n",
+       "      <td>1.371</td>\n",
+       "      <td>2.184</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4213,66 +4182,66 @@
        "</div>"
       ],
       "text/plain": [
-       "                                             mean      sd  hdi_3%  hdi_97%  \\\n",
-       "1-stage-model     alpha_trt                -1.145   0.061  -1.257   -1.029   \n",
-       "                  beta_[trt]                3.068   0.406   2.304    3.820   \n",
-       "                  beta_[age]               -1.334   0.553  -2.351   -0.283   \n",
-       "                  beta_[smokeintensity]    -0.332   0.613  -1.486    0.850   \n",
-       "                  beta_[smokeyrs]           0.095   0.422  -0.676    0.890   \n",
-       "                  beta_[wt71]               0.063   0.637  -1.153    1.238   \n",
-       "                  beta_[wt71^2]            -0.965   0.666  -2.206    0.295   \n",
-       "                  beta_[smokeintensity^2]   0.268   0.543  -0.776    1.273   \n",
-       "                  alpha_outcome             4.772   1.188   2.518    7.036   \n",
-       "                  beta_ps                 -11.366   4.616 -19.907   -2.425   \n",
-       "2-stage-model     beta_[trt]                2.872   0.402   2.141    3.645   \n",
-       "                  beta_[age]               -2.192   0.372  -2.917   -1.530   \n",
-       "                  beta_[smokeintensity]     0.423   0.501  -0.496    1.343   \n",
-       "                  beta_[smokeyrs]           0.455   0.346  -0.221    1.066   \n",
-       "                  beta_[wt71]              -0.032   0.615  -1.156    1.160   \n",
-       "                  beta_[wt71^2]            -1.236   0.616  -2.379   -0.069   \n",
-       "                  beta_[smokeintensity^2]  -0.172   0.471  -1.069    0.696   \n",
-       "                  alpha_outcome             3.728   2.783  -1.481    8.851   \n",
-       "                  beta_ps                   0.024  10.027 -17.970   19.673   \n",
-       "Simple Regression beta_[trt]                2.824   0.403   2.071    3.574   \n",
-       "                  beta_[age]               -2.268   0.341  -2.906   -1.615   \n",
-       "                  beta_[smokeintensity]     0.623   0.460  -0.262    1.478   \n",
-       "                  beta_[smokeyrs]           0.502   0.340  -0.131    1.134   \n",
-       "                  beta_[wt71]               0.021   0.628  -1.146    1.219   \n",
-       "                  beta_[wt71^2]            -1.277   0.628  -2.431   -0.075   \n",
-       "                  beta_[smokeintensity^2]  -0.316   0.455  -1.122    0.573   \n",
-       "                  alpha_outcome             1.923   0.214   1.533    2.328   \n",
+       "                                           mean      sd  hdi_3%  hdi_97%  \\\n",
+       "1-stage-model     alpha_trt              -1.146   0.061  -1.262   -1.034   \n",
+       "                  beta_[trt]              3.487   0.445   2.637    4.310   \n",
+       "                  beta_[age]             -1.018   0.620  -2.187    0.128   \n",
+       "                  beta_[race]            -0.323   0.273  -0.822    0.195   \n",
+       "                  beta_[sex]             -1.145   0.295  -1.706   -0.599   \n",
+       "                  beta_[smokeintensity]  -0.431   0.319  -1.024    0.175   \n",
+       "                  beta_[smokeyrs]        -0.303   0.540  -1.318    0.702   \n",
+       "                  beta_[wt71]            -1.221   0.281  -1.742   -0.698   \n",
+       "                  alpha_outcome           5.204   1.002   3.223    7.004   \n",
+       "                  beta_ps               -13.476   3.820 -20.775   -6.420   \n",
+       "2-stage-model     beta_[trt]              3.319   0.435   2.517    4.155   \n",
+       "                  beta_[age]             -1.937   0.469  -2.824   -1.068   \n",
+       "                  beta_[race]            -0.101   0.257  -0.575    0.392   \n",
+       "                  beta_[sex]             -0.940   0.255  -1.409   -0.454   \n",
+       "                  beta_[smokeintensity]  -0.052   0.255  -0.542    0.420   \n",
+       "                  beta_[smokeyrs]         0.317   0.424  -0.510    1.094   \n",
+       "                  beta_[wt71]            -1.393   0.222  -1.818   -0.980   \n",
+       "                  alpha_outcome           1.363   2.904  -4.256    6.557   \n",
+       "                  beta_ps                -0.023  10.048 -18.154   19.192   \n",
+       "Simple Regression beta_[trt]              3.270   0.435   2.450    4.087   \n",
+       "                  beta_[age]             -2.427   0.387  -3.142   -1.688   \n",
+       "                  beta_[race]             0.204   0.193  -0.141    0.577   \n",
+       "                  beta_[sex]             -0.685   0.218  -1.096   -0.278   \n",
+       "                  beta_[smokeintensity]   0.270   0.199  -0.088    0.666   \n",
+       "                  beta_[smokeyrs]         0.547   0.393  -0.203    1.286   \n",
+       "                  beta_[wt71]            -1.543   0.208  -1.932   -1.151   \n",
+       "                  alpha_outcome           1.795   0.216   1.371    2.184   \n",
        "\n",
-       "                                           r_hat  \n",
-       "1-stage-model     alpha_trt                  1.0  \n",
-       "                  beta_[trt]                 1.0  \n",
-       "                  beta_[age]                 1.0  \n",
-       "                  beta_[smokeintensity]      1.0  \n",
-       "                  beta_[smokeyrs]            1.0  \n",
-       "                  beta_[wt71]                1.0  \n",
-       "                  beta_[wt71^2]              1.0  \n",
-       "                  beta_[smokeintensity^2]    1.0  \n",
-       "                  alpha_outcome              1.0  \n",
-       "                  beta_ps                    1.0  \n",
-       "2-stage-model     beta_[trt]                 1.0  \n",
-       "                  beta_[age]                 1.0  \n",
-       "                  beta_[smokeintensity]      1.0  \n",
-       "                  beta_[smokeyrs]            1.0  \n",
-       "                  beta_[wt71]                1.0  \n",
-       "                  beta_[wt71^2]              1.0  \n",
-       "                  beta_[smokeintensity^2]    1.0  \n",
-       "                  alpha_outcome              1.0  \n",
-       "                  beta_ps                    1.0  \n",
-       "Simple Regression beta_[trt]                 1.0  \n",
-       "                  beta_[age]                 1.0  \n",
-       "                  beta_[smokeintensity]      1.0  \n",
-       "                  beta_[smokeyrs]            1.0  \n",
-       "                  beta_[wt71]                1.0  \n",
-       "                  beta_[wt71^2]              1.0  \n",
-       "                  beta_[smokeintensity^2]    1.0  \n",
-       "                  alpha_outcome              1.0  "
+       "                                         r_hat  \n",
+       "1-stage-model     alpha_trt                1.0  \n",
+       "                  beta_[trt]               1.0  \n",
+       "                  beta_[age]               1.0  \n",
+       "                  beta_[race]              1.0  \n",
+       "                  beta_[sex]               1.0  \n",
+       "                  beta_[smokeintensity]    1.0  \n",
+       "                  beta_[smokeyrs]          1.0  \n",
+       "                  beta_[wt71]              1.0  \n",
+       "                  alpha_outcome            1.0  \n",
+       "                  beta_ps                  1.0  \n",
+       "2-stage-model     beta_[trt]               1.0  \n",
+       "                  beta_[age]               1.0  \n",
+       "                  beta_[race]              1.0  \n",
+       "                  beta_[sex]               1.0  \n",
+       "                  beta_[smokeintensity]    1.0  \n",
+       "                  beta_[smokeyrs]          1.0  \n",
+       "                  beta_[wt71]              1.0  \n",
+       "                  alpha_outcome            1.0  \n",
+       "                  beta_ps                  1.0  \n",
+       "Simple Regression beta_[trt]               1.0  \n",
+       "                  beta_[age]               1.0  \n",
+       "                  beta_[race]              1.0  \n",
+       "                  beta_[sex]               1.0  \n",
+       "                  beta_[smokeintensity]    1.0  \n",
+       "                  beta_[smokeyrs]          1.0  \n",
+       "                  beta_[wt71]              1.0  \n",
+       "                  alpha_outcome            1.0  "
       ]
      },
-     "execution_count": 35,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4296,12 +4265,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -4325,7 +4294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "metadata": {
     "tags": [
      "hide-output"
@@ -4339,7 +4308,7 @@
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std]\n",
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 25 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 26 seconds.\n",
       "Sampling: [beta_std, t_pred]\n",
       "Sampling: [t_pred]\n"
      ]
@@ -4347,10 +4316,10 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x17e38d7f0>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x1773117f0>"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4394,7 +4363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -4431,7 +4400,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "metadata": {
     "tags": [
      "hide-output"
@@ -4446,7 +4415,7 @@
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [beta_std, beta_ps, sigma]\n",
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 34 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 47 seconds.\n"
      ]
     }
    ],
@@ -4455,7 +4424,7 @@
     "    result.X_outcome,\n",
     "    result.y,\n",
     "    result.coords,\n",
-    "    priors={\"b_outcome\": [0, 1], \"sigma\": 10, \"beta_ps\": [0, 10]},\n",
+    "    priors={\"b_outcome\": [0, 3], \"sigma\": 10, \"beta_ps\": [0, 10]},\n",
     "    noncentred=True,\n",
     "    normal_outcome=True,\n",
     ")"
@@ -4470,7 +4439,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -4508,194 +4477,194 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>beta_[Intercept]</th>\n",
-       "      <td>1.522</td>\n",
-       "      <td>0.739</td>\n",
-       "      <td>0.175</td>\n",
-       "      <td>2.943</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>15468.0</td>\n",
-       "      <td>23070.0</td>\n",
+       "      <td>2.093</td>\n",
+       "      <td>1.344</td>\n",
+       "      <td>-0.434</td>\n",
+       "      <td>4.612</td>\n",
+       "      <td>0.014</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>9380.0</td>\n",
+       "      <td>14843.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[age]</th>\n",
-       "      <td>-2.148</td>\n",
-       "      <td>0.446</td>\n",
-       "      <td>-3.010</td>\n",
-       "      <td>-1.337</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>19468.0</td>\n",
-       "      <td>25010.0</td>\n",
+       "      <td>-2.210</td>\n",
+       "      <td>0.721</td>\n",
+       "      <td>-3.543</td>\n",
+       "      <td>-0.835</td>\n",
+       "      <td>0.007</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>10668.0</td>\n",
+       "      <td>17142.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[race]</th>\n",
-       "      <td>0.231</td>\n",
-       "      <td>0.233</td>\n",
-       "      <td>-0.205</td>\n",
-       "      <td>0.670</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>24450.0</td>\n",
-       "      <td>29831.0</td>\n",
+       "      <td>0.151</td>\n",
+       "      <td>0.312</td>\n",
+       "      <td>-0.445</td>\n",
+       "      <td>0.727</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>12175.0</td>\n",
+       "      <td>20768.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[sex]</th>\n",
-       "      <td>-0.635</td>\n",
-       "      <td>0.278</td>\n",
-       "      <td>-1.148</td>\n",
-       "      <td>-0.106</td>\n",
+       "      <td>-0.797</td>\n",
+       "      <td>0.409</td>\n",
+       "      <td>-1.562</td>\n",
+       "      <td>-0.024</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>21324.0</td>\n",
-       "      <td>29625.0</td>\n",
+       "      <td>11010.0</td>\n",
+       "      <td>17907.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeintensity]</th>\n",
-       "      <td>0.299</td>\n",
-       "      <td>0.243</td>\n",
-       "      <td>-0.160</td>\n",
-       "      <td>0.749</td>\n",
+       "      <td>0.178</td>\n",
+       "      <td>0.337</td>\n",
+       "      <td>-0.469</td>\n",
+       "      <td>0.797</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>23157.0</td>\n",
-       "      <td>27719.0</td>\n",
+       "      <td>12015.0</td>\n",
+       "      <td>19490.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[smokeyrs]</th>\n",
-       "      <td>0.368</td>\n",
-       "      <td>0.404</td>\n",
-       "      <td>-0.376</td>\n",
-       "      <td>1.141</td>\n",
+       "      <td>0.467</td>\n",
+       "      <td>0.602</td>\n",
+       "      <td>-0.682</td>\n",
+       "      <td>1.575</td>\n",
+       "      <td>0.006</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>22539.0</td>\n",
-       "      <td>28100.0</td>\n",
+       "      <td>11849.0</td>\n",
+       "      <td>19291.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[wt71]</th>\n",
-       "      <td>-1.460</td>\n",
-       "      <td>0.207</td>\n",
-       "      <td>-1.849</td>\n",
-       "      <td>-1.073</td>\n",
+       "      <td>-1.509</td>\n",
+       "      <td>0.214</td>\n",
+       "      <td>-1.920</td>\n",
+       "      <td>-1.112</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>51664.0</td>\n",
-       "      <td>29656.0</td>\n",
+       "      <td>33903.0</td>\n",
+       "      <td>28828.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_1]</th>\n",
-       "      <td>-0.544</td>\n",
-       "      <td>0.205</td>\n",
-       "      <td>-0.937</td>\n",
-       "      <td>-0.165</td>\n",
+       "      <td>-0.539</td>\n",
+       "      <td>0.214</td>\n",
+       "      <td>-0.930</td>\n",
+       "      <td>-0.122</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>43374.0</td>\n",
-       "      <td>28836.0</td>\n",
+       "      <td>29101.0</td>\n",
+       "      <td>29625.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[active_2]</th>\n",
-       "      <td>-0.122</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>-0.499</td>\n",
-       "      <td>0.256</td>\n",
+       "      <td>-0.116</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>-0.512</td>\n",
+       "      <td>0.266</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>49973.0</td>\n",
-       "      <td>30811.0</td>\n",
+       "      <td>31383.0</td>\n",
+       "      <td>29074.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_2]</th>\n",
-       "      <td>0.390</td>\n",
-       "      <td>0.240</td>\n",
-       "      <td>-0.054</td>\n",
-       "      <td>0.848</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>0.416</td>\n",
+       "      <td>0.253</td>\n",
+       "      <td>-0.071</td>\n",
+       "      <td>0.881</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>33809.0</td>\n",
-       "      <td>31209.0</td>\n",
+       "      <td>25487.0</td>\n",
+       "      <td>28436.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_3]</th>\n",
-       "      <td>0.365</td>\n",
-       "      <td>0.262</td>\n",
-       "      <td>-0.129</td>\n",
-       "      <td>0.857</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>0.398</td>\n",
+       "      <td>0.275</td>\n",
+       "      <td>-0.137</td>\n",
+       "      <td>0.904</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>31960.0</td>\n",
-       "      <td>31692.0</td>\n",
+       "      <td>23112.0</td>\n",
+       "      <td>26560.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_4]</th>\n",
-       "      <td>0.385</td>\n",
-       "      <td>0.225</td>\n",
-       "      <td>-0.047</td>\n",
-       "      <td>0.794</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>0.360</td>\n",
+       "      <td>0.249</td>\n",
+       "      <td>-0.117</td>\n",
+       "      <td>0.821</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>34347.0</td>\n",
-       "      <td>31045.0</td>\n",
+       "      <td>20161.0</td>\n",
+       "      <td>26766.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[education_5]</th>\n",
-       "      <td>-0.082</td>\n",
-       "      <td>0.248</td>\n",
-       "      <td>-0.544</td>\n",
-       "      <td>0.388</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>0.030</td>\n",
+       "      <td>0.302</td>\n",
+       "      <td>-0.514</td>\n",
+       "      <td>0.624</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>28284.0</td>\n",
-       "      <td>29972.0</td>\n",
+       "      <td>15996.0</td>\n",
+       "      <td>23783.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_1]</th>\n",
-       "      <td>0.150</td>\n",
-       "      <td>0.258</td>\n",
-       "      <td>-0.336</td>\n",
-       "      <td>0.630</td>\n",
-       "      <td>0.001</td>\n",
+       "      <td>0.209</td>\n",
+       "      <td>0.279</td>\n",
+       "      <td>-0.317</td>\n",
+       "      <td>0.737</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>35392.0</td>\n",
-       "      <td>29346.0</td>\n",
+       "      <td>20495.0</td>\n",
+       "      <td>26199.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[exercise_2]</th>\n",
-       "      <td>0.149</td>\n",
-       "      <td>0.279</td>\n",
-       "      <td>-0.378</td>\n",
-       "      <td>0.668</td>\n",
+       "      <td>0.272</td>\n",
+       "      <td>0.332</td>\n",
+       "      <td>-0.336</td>\n",
+       "      <td>0.913</td>\n",
+       "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>28280.0</td>\n",
-       "      <td>30076.0</td>\n",
+       "      <td>14760.0</td>\n",
+       "      <td>21435.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>2.847</td>\n",
-       "      <td>0.405</td>\n",
-       "      <td>2.103</td>\n",
-       "      <td>3.620</td>\n",
+       "      <td>3.318</td>\n",
+       "      <td>0.434</td>\n",
+       "      <td>2.476</td>\n",
+       "      <td>4.105</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>52641.0</td>\n",
-       "      <td>27874.0</td>\n",
+       "      <td>40864.0</td>\n",
+       "      <td>30723.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4704,43 +4673,43 @@
       ],
       "text/plain": [
        "                        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
-       "beta_[Intercept]       1.522  0.739   0.175    2.943      0.006    0.004   \n",
-       "beta_[age]            -2.148  0.446  -3.010   -1.337      0.003    0.002   \n",
-       "beta_[race]            0.231  0.233  -0.205    0.670      0.001    0.001   \n",
-       "beta_[sex]            -0.635  0.278  -1.148   -0.106      0.002    0.001   \n",
-       "beta_[smokeintensity]  0.299  0.243  -0.160    0.749      0.002    0.001   \n",
-       "beta_[smokeyrs]        0.368  0.404  -0.376    1.141      0.003    0.002   \n",
-       "beta_[wt71]           -1.460  0.207  -1.849   -1.073      0.001    0.001   \n",
-       "beta_[active_1]       -0.544  0.205  -0.937   -0.165      0.001    0.001   \n",
-       "beta_[active_2]       -0.122  0.200  -0.499    0.256      0.001    0.001   \n",
-       "beta_[education_2]     0.390  0.240  -0.054    0.848      0.001    0.001   \n",
-       "beta_[education_3]     0.365  0.262  -0.129    0.857      0.001    0.001   \n",
-       "beta_[education_4]     0.385  0.225  -0.047    0.794      0.001    0.001   \n",
-       "beta_[education_5]    -0.082  0.248  -0.544    0.388      0.001    0.001   \n",
-       "beta_[exercise_1]      0.150  0.258  -0.336    0.630      0.001    0.001   \n",
-       "beta_[exercise_2]      0.149  0.279  -0.378    0.668      0.002    0.001   \n",
-       "beta_[trt]             2.847  0.405   2.103    3.620      0.002    0.002   \n",
+       "beta_[Intercept]       2.093  1.344  -0.434    4.612      0.014    0.009   \n",
+       "beta_[age]            -2.210  0.721  -3.543   -0.835      0.007    0.004   \n",
+       "beta_[race]            0.151  0.312  -0.445    0.727      0.003    0.002   \n",
+       "beta_[sex]            -0.797  0.409  -1.562   -0.024      0.004    0.002   \n",
+       "beta_[smokeintensity]  0.178  0.337  -0.469    0.797      0.003    0.002   \n",
+       "beta_[smokeyrs]        0.467  0.602  -0.682    1.575      0.006    0.003   \n",
+       "beta_[wt71]           -1.509  0.214  -1.920   -1.112      0.001    0.001   \n",
+       "beta_[active_1]       -0.539  0.214  -0.930   -0.122      0.001    0.001   \n",
+       "beta_[active_2]       -0.116  0.207  -0.512    0.266      0.001    0.001   \n",
+       "beta_[education_2]     0.416  0.253  -0.071    0.881      0.002    0.001   \n",
+       "beta_[education_3]     0.398  0.275  -0.137    0.904      0.002    0.001   \n",
+       "beta_[education_4]     0.360  0.249  -0.117    0.821      0.002    0.001   \n",
+       "beta_[education_5]     0.030  0.302  -0.514    0.624      0.002    0.001   \n",
+       "beta_[exercise_1]      0.209  0.279  -0.317    0.737      0.002    0.001   \n",
+       "beta_[exercise_2]      0.272  0.332  -0.336    0.913      0.003    0.002   \n",
+       "beta_[trt]             3.318  0.434   2.476    4.105      0.002    0.002   \n",
        "\n",
        "                       ess_bulk  ess_tail  r_hat  \n",
-       "beta_[Intercept]        15468.0   23070.0    1.0  \n",
-       "beta_[age]              19468.0   25010.0    1.0  \n",
-       "beta_[race]             24450.0   29831.0    1.0  \n",
-       "beta_[sex]              21324.0   29625.0    1.0  \n",
-       "beta_[smokeintensity]   23157.0   27719.0    1.0  \n",
-       "beta_[smokeyrs]         22539.0   28100.0    1.0  \n",
-       "beta_[wt71]             51664.0   29656.0    1.0  \n",
-       "beta_[active_1]         43374.0   28836.0    1.0  \n",
-       "beta_[active_2]         49973.0   30811.0    1.0  \n",
-       "beta_[education_2]      33809.0   31209.0    1.0  \n",
-       "beta_[education_3]      31960.0   31692.0    1.0  \n",
-       "beta_[education_4]      34347.0   31045.0    1.0  \n",
-       "beta_[education_5]      28284.0   29972.0    1.0  \n",
-       "beta_[exercise_1]       35392.0   29346.0    1.0  \n",
-       "beta_[exercise_2]       28280.0   30076.0    1.0  \n",
-       "beta_[trt]              52641.0   27874.0    1.0  "
+       "beta_[Intercept]         9380.0   14843.0    1.0  \n",
+       "beta_[age]              10668.0   17142.0    1.0  \n",
+       "beta_[race]             12175.0   20768.0    1.0  \n",
+       "beta_[sex]              11010.0   17907.0    1.0  \n",
+       "beta_[smokeintensity]   12015.0   19490.0    1.0  \n",
+       "beta_[smokeyrs]         11849.0   19291.0    1.0  \n",
+       "beta_[wt71]             33903.0   28828.0    1.0  \n",
+       "beta_[active_1]         29101.0   29625.0    1.0  \n",
+       "beta_[active_2]         31383.0   29074.0    1.0  \n",
+       "beta_[education_2]      25487.0   28436.0    1.0  \n",
+       "beta_[education_3]      23112.0   26560.0    1.0  \n",
+       "beta_[education_4]      20161.0   26766.0    1.0  \n",
+       "beta_[education_5]      15996.0   23783.0    1.0  \n",
+       "beta_[exercise_1]       20495.0   26199.0    1.0  \n",
+       "beta_[exercise_2]       14760.0   21435.0    1.0  \n",
+       "beta_[trt]              40864.0   30723.0    1.0  "
       ]
      },
-     "execution_count": 40,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4751,12 +4720,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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zszMCAwMRHh5utb0GDRqgQoUKSkdoFlWrVsWQIUNgMpmwbdu2VOdz1qxZ0Ov1GDFiBD744AOrWjuNGzfGsGHDYDKZlNo7gNzZ4p49ewAAv/zyi1WJba1atfD555/DYDCkOi9pcefOHQBAixYtbJrYeHh4oFOnTqkefrFEiRIYPXq0UuotSRKGDBmCPHny4OHDh1ZNFKKiovD3338DkI9F4jyUKlUKP//8c7oei9jYWEyaNAmA/BxOfH2lxO3bt+Hp6YmuXbtCrVYr0yVJQo0aNdC4ceNU5ykt1+aKFSsQFxeH2rVrY+jQoUpeNBoNhg8fjkqVKtn9rpd9nhMRvSxWsyei16p27dpWgajFmTNn8OjRI5QrV85hm8vGjRtj586dCAgIQLt27azm3bhxA1u3bsXVq1cRERGhVPsMDQ0FIFe/tjdcXkp06NDB5odhsWLF4Orqiri4OHTs2NFmHcs+BAcHW03fvXs3ALmNZ+L27Rbe3t4oV64cjh07hvPnz9sEgvXq1bMJUgE5CNy1a5fN96WXFw1NZ++cptX+/fuh1+vRuHFju/uqUqnQsGFDnDt3DsePH1eO0d69ewEgQ9qoJjc0nbu7u9XnfPny4datW9i+fTs6der0OrKH+vXr25wjtVoNnU6H+/fvo02bNnB1dbWanz17dhQsWBA3btzA3bt3bdpNP336FJs3b0ZgYCCePHmidGoYHR0NQL7nUkOv12P//v1Qq9UO23I3btwY//vf/xAQEKBMO3jwIIQQqFatmk3/GADQsWNHTJ48+bUE9Jbr9ciRIwgPD0+2rXlKvf/++1YvNQBAq9XC19cXjx49QnBwsPK8OXHiBBISElC0aFFUqVLFZls1atRAwYIFcffu3ZfOFwCMHj0at2/fRt68efHVV1+lev18+fIhKCgIhw4dQp06ddIlT0Dqr81Dhw4BgMPrrkOHDjh+/LjN9Jd9nhMRvSwG80T0WhUvXtzudMv49CEhIfjwww/tLhMVFQVAbqOY2O+//47ffvsNZrPZ4fdGRESkJbsAYLfTPQDw8vJCXFyc3fk5c+YEIJdcJWYpRVu5ciW2bNlid7uWktuHDx/azHM0jrOj70svqR2a7mVYroWzZ886vBaePHkCwPpasAx3Z2lj+zqlZmi6jz76CIcPH8aYMWOwaNEi1K1bF1WqVEGNGjXg5eX1SvL3ousmufk3btywua4OHjyIoUOHKvekPam9527fvo2EhARotVr069fP7jLiWdv3xOfdcr84erZ4eHjAx8cn3QLY5FSqVAkVKlTA2bNn0bBhQ9SuXRvVqlVDtWrVULZsWZuXginh6PljKQVPfG4sNQOSdjCYmE6nS5djMXnyZGzbtg1ubm6YNWtWml5cfPTRR/jhhx/Qp08flC1bFrVr10aVKlVQrVo1hy/HXiQt1+aLjpuj6S/7PCcielkM5onotXJzc7M73fLD6+nTp3j69Gmy27CUsgBAQEAApkyZArVajeHDh6Nx48bInz8/XF1dIUkSpk6dirlz5yol9WnhqOMiyw9ze/Md/Wi3lAxZAtbk2KuW6ej4WUruxGvs6OtVsVwLls6ukpP4WrAc28w+bn3Dhg0xb948zJkzB2fPnsXNmzexdOlSaDQaNG3aFN9880261nQAYFPqbmG5Tl80P/F1FRkZiS+++AJRUVFo164dunbtimLFiimdWR4+fBi9e/dO9T1nOe8GgwGnTp1KdtnE590SzFpeTNiTO3fu1xLMq1QqzJ8/HzNnzsSmTZuwd+9epcZIgQIFMGjQoBT3IG/h6NzYu+ctxyJpbZDEkpuXUgsXLsT8+fPh5OSE2bNn2+3Q8OLFi/jf//5nM71BgwYYOHAgAKBbt25wd3fH4sWLceHCBVy4cAHz58+Hs7Mz3nvvPXz11Vepup/Tem3GxcUBcHxsHE1/2ec5EdHLYjBPRJmCJUht27YtJk+enOL1Nm/eDEBu/2uvh+L79++nTwbTiWU/Fy9ebNNDOMksx2jgwIEYNmxYitdzd3dHREREsiVymUWDBg3QoEEDhIeH48SJEzh69Ci2bNmCHTt2ICgoCKtXr4ZWq83obNp14MABREREoFKlSpgwYYLNi6sXvYBxxBIw+fj44MCBAylez3K9JPcS0FKTIy0cvSBzVAvG09MTo0ePxjfffIPLly8jICAAe/bswbFjx/D111/Dzc0NLVu2THN+kmM5FjExMQ6XSW5eSqxevRoTJ06ERqPBb7/95nCowKioKLsvZZL2pt+uXTu0a9cOjx49QkBAAA4dOoRt27Zh9erVePToEebOnZvivKX12nR1dUV0dLTDc+romPF5TkQZjR3gEVGmULJkSQDAtWvXUrWeZQxuRx0UOWq3m5bqrunB0iFVSkpy0kNG7efLSOu1YFnvZTo7fN1y5MiBpk2bYsyYMdiyZQuyZcuGixcv4vz588oyme0cWu65ihUr2s1bWu+5IkWKQKvV4tGjRzYd7iXHMizZrVu37M6PiYlJ00u9F70kCAoKSnZ9SZLg5+eHnj17YunSpcrLxjVr1qQ6LyllORaJO8VL6mWePVu3bsXYsWOhUqkwYcIEpeNNe2rUqIErV67Y/LOMB59Unjx50Lp1a4wfPx5r1qyBSqXCv//+a1U9/UXXUFqvzRcdN0fH7HU/z4mIkmIwT0SZQtWqVeHl5YXLly/j2LFjKV7P0sOzvZK3gwcPOvzxZlnvdVd9bN68OQBg1apVVlWFX5WM2s+X0aBBA2i1Whw4cEBpb5oSTZs2BQD89ddf0Ov1KVrH0kTidZyLF8mdOzcKFiwIwLp9bWY7h5b8PH782GZeWFiY0pt6UpZj7Wg/XF1dUbduXZjN5lT1z1C3bl0AcpOb69ev28xfs2ZNmjq/s/QjcO7cOZt5586dS3UHfxUqVADwattOV6lSBc7Ozrh9+zZOnz5tMz8gICDNzQ3279+PkSNHwmw2Y+zYsa9k1AWLkiVLKtXrU3MvpPXatHS+t379ervz161bZ3f6636eExElxWCeiDIFZ2dnZTi3IUOGYPfu3TbVW69evYpJkybh5MmTyjRLj83z5s2z6sk9MDAQ33zzjfLjLqnEP9Qt7SVfh2bNmqFixYq4efMmBg4cqHS8ZKHX67Fv3z58/fXX6fJ9GbWfL8PHxwcfffQRDAYD+vbta/NyRwiBwMBAjB071uqcf/DBByhQoACuXbuGwYMH23SUeOLECWzatMlqmuX42Oup+lUZNmwY9u3bZ/PCYceOHbh69SokSbIa0SGznUNLj9w7duzA4cOHlekPHz7E559/DpPJZHe9nDlzwt3dHU+ePMGNGzfsLjNkyBA4OTlhzpw5mDdvnk3Q9vDhQ/zxxx9YsWKFMq1IkSJo0qQJhBAYOXKkVSn8sWPHMHPmzDQ1WahXrx4A+WVAYGCgMv327dsYNWqU3d7LN23ahFmzZtkEzGFhYcoLCkejdaSHbNmyKaNrfPXVV0qnkABw/fp1jBw5Mk3H4sSJE8oQf19++SW6dOny0nmNjo7GsGHDcOzYMavOSy1DD0ZERMDNzQ3FihVT5lnuhdOnT9vtkyGt12aXLl3g6uqKgwcPYsaMGcpyRqMRU6dOddiHw+t+nhMRJcU280SUaXTt2hWhoaGYN28eBg0ahBw5cqBQoUIwm80ICQlRqt4m7jW8c+fOWLFiBYKCgtCqVSsUK1YMBoMBt27dQsmSJdG6dWssXrzY5rvKli2LokWL4vbt22jYsCGKFSsGrVaL0qVLY/To0a9sH1UqFWbMmIEBAwbg8OHDaN68OYoUKYIcOXIgJiYGd+7cgcFgsBqv+GWk135evHjRYc/ygNzeecGCBemRZQBywPvw4UNs2rQJPXv2RJ48eZAvXz7o9XoEBwcrbVh79uyprOPh4YHZs2fj448/xr59+9CwYUOUKFECGo0Gd+/eRVRUFNq3b2811nyrVq2wb98+jBs3DsuXL1d65P7mm2+sxrd/kR9//DHZ3rd79uyJVq1aAQD+++8/bNu2DU5OTihatCicnZ1x//59PHr0CADw6aefWvUun1HXqiP+/v5o0aIFdu7cid69e6NIkSJwc3PDtWvX4OzsjOHDh+Onn36yWU+SJLRs2RJr165F+/btUapUKaUquyXQ9fPzw5QpU/Dll1/i119/xcyZM1G8eHGl+r2lzXPS3u7Hjh2Ly5cv4/z582jatClKlSqF2NhY5ZjFxMRYDWeXEvXr10ft2rVx+PBhdO7cWWkGcP36dVSpUgWlS5e26cH86dOnmD59OqZPnw4fHx94e3sjISEBt27dgsFggI+PD4YMGZKqfKTWF198gVOnTuHSpUt45513UKpUKQghcO3aNZQtWxYVK1bE1q1bbYa7S87o0aMRHx8PJycnq079kho4cCAaNGiQom2azWZs27ZN6RG/cOHC0Gg0CAkJQVhYGCRJwjfffGPV+VzdunXh6emJkydPomHDhihUqBA0Gg3q1auH/v37p/nazJ8/P8aOHYuvv/4aM2fOxPLly1GgQAHcvXsXERERGD58OCZNmmRzzF7385yIKCkG80SUqQwfPhyNGjXCsmXLcPLkSVy+fBnu7u7w8fFBkyZN0KJFC6sOlzw8PLB8+XL8+uuv2L9/P27dugUfHx/07t0bgwYNshvIA/KPsN9//x1TpkzBiRMnEBgY6LDUJr15e3tj1apV+Pvvv7Ft2zZcvXoV9+7dQ+7cuVG+fHnUrl1bCfxeVnrtZ3R0dLI9jKd3D/IajQaTJk1CmzZtsHr1apw9exaXLl1C9uzZUbRoUVSqVAktWrSwKrUDgNKlS2Pz5s1YvHgx/vnnH9y9excqlQp58+ZFmzZtbEoU27Vrh8jISPz999+4c+eO0vY1MjIyVfl9UZvZFi1aKOkJEybgwIEDOH36NB4+fIjY2FjkzZsXzZo1w0cffYRq1apZrZuR16ojkydPRokSJbBx40bcu3cPOXLkQIsWLTBo0CDlpYQ9o0ePhru7O/bu3YsrV67Yrf7erFkzbN26FUuWLMHBgwdx69YtqFQq+Pj4oFmzZmjatCkaN25stY6Pjw/+/vtvTJs2DXv37sX169eRP39+fP755+jfvz/69OmT6n2UJAkzZ87EjBkzsH37dty9exc+Pj7o378/PvvsM3z33Xc267Ro0QIGgwFHjhzBrVu3cPXqVbi6ukKn06FZs2bo1q0bsmfPnuq8pIaHhwf++usvzJo1Czt27MDNmzfh7e2NXr16YfDgwUopcWqGfrOcJ71en+xzIDUdDbq7u2PixIk4dOgQzp07h5CQEBgMBuTNmxf16tVD3759Ubp0aZt9W7hwIaZPn47AwECcOXMGZrMZBQoUUJZJ67XZvn17+Pj4YM6cOTh//jxu3ryJsmXLYuDAgfD29sakSZPs9mr/Op/nRERJSeJNGMeIiIiIiF6obdu2uHr1KjZs2JCq2idvs507d+Lzzz9HkyZNMHv27IzODhGRgm3miYiIiN4CgYGBuHr1KrJnz66M/kAvZukAr3LlyhmcEyIiawzmiYiIiN4gU6ZMsekAMjAwEEOHDgUAvP/++2nqCO9NtnPnTuzfv9+qCUtcXBwmTpyIffv2wc3NDe+9914G5pCIyBar2RMRERG9QXx9fQHIY7fnzZsXT58+VcZg9/f3x9KlS+22/36bzZgxAzNnzoSzszMKFy4MJycn3LhxA/Hx8VCr1ZgwYYJV55lERJkBg3kiIiKiN8j8+fNx4MAB3Lp1C+Hh4dBqtShWrBhatWqF7t27w9XVNaOzmOlcvHgRy5Ytw4kTJ/D48WMkJCTAy8sLVatWRe/evVG+fPmMziIRkQ0G80RERERERERZDNvMExEREREREWUxDOaJiIiIiIiIshgG80RERERERERZDIN5Iko3d+/eha+vLxo3bpzRWckQx44dg6+vL3r06GE1/W0/LkT29OjRA76+vjh27FhGZ8XGunXr4Ovri1GjRqV63RkzZsDX1xczZsx4BTl7/Ro3bgxfX1/cvXs3o7OSrt7U/XoVMvO9SvS2YzBPbx3LH6XE//z9/VG/fn0MGjQIhw8fzugs0mv0+PFjlC1bFr6+vujSpUtGZ+eVuHv3LmbMmIF169ZldFZeqfTez507dyrPiKlTp6bLNilri4yMxIwZM7BkyZKMzgpRlrVkyRLMmDEDkZGRGZ0VoiyPwTy9tfLly4fKlSujcuXKKFmyJKKiorB792707t0bc+fOzejsZUmW4Y8KFSqU0VlJsS1btsBoNAIATp8+jaCgoHT/jow+LiEhIZg5cybWr1+fId//uqT3fm7cuFFJb9q0CRz85e2RLVs2FCtWDHny5LGaHhkZiZkzZ2Lp0qUZlDOi1y9fvnwoVqxYug1puHTpUsycOZPBPFE60GR0Bogyyvvvv4/Bgwcrn+Pj4zFp0iT89ddfmDZtGpo3b47ixYtnYA6zHh8fH+zYsSOjs5EqmzZtAgBkz54dkZGR2LRpEwYNGpSu35EVj8vbLiwsDAcOHIAkSXB3d8e9e/cQEBCA6tWrZ3TW6DVo1qwZmjVrltHZIMoUJk6cmNFZICIHWDJP9IyLiwu+/vprFChQAGazGXv27MnoLNErdv36dVy4cAEuLi4YOXIkAOvSWHp7bdu2DQaDAZUqVcK7774LgNcGERERZS4M5okS0Wg0KFOmDAC5yq49gYGBGDZsGOrVqwd/f3/Url0bn3/+OS5evOhwu0FBQfjiiy9Qs2ZNVKhQAe+99x5WrFgBwHEnPImnHz16FB9//DFq1Khh0wlNXFwc5s2bhw4dOqBy5crK9hcsWAC9Xm+TFyEENmzYgG7duqFq1arw9/dHnTp10KFDB0ycOBH379+3Wj4sLAy//PILWrZsiXLlyqFixYpo3Lgx+vbti2XLllkt+6KO3sLCwjBx4kS0aNEC5cuXR7Vq1dCjRw+HVZgTd0Kl1+sxY8YMNGvWDOXKlUODBg3w888/IzY21uFxfxFLcNawYUO0bdsWHh4eCAoKwunTp5Ndb/fu3ejSpQsqVqyIGjVqYMCAATh37pzD5R0dl5R0jGdps51USEgIvvvuOzRp0gT+/v6oVKkSmjRpgs8++wxbt25VluvRowd69uwJADh+/LhVXxGJv3fUqFHw9fXFunXrEBISghEjRqB27dqoVKkSOnfujEOHDinLXrlyBYMHD0atWrVQoUIFdOvWDWfOnHG4D0ajEStWrMCHH36IqlWroly5cmjZsiWmTp2K6Ohom+XTct5Tup8pZamx0aZNG7Rt2xYAsGPHDiQkJNhdPnHnhwaDATNnzkSLFi1Qrlw51KtXD99//z3Cw8Nt1kt8DQgh8Oeff6Jt27aoUKECatWqhS+//BL37t2z+52Jr42dO3cq93TS58m1a9fw5Zdfon79+soza/DgwQ7PWWRkJNasWYNPPvkEzZo1Q/ny5VGlShV06tQJS5cuVZql2GM0GrF69Wr06NEDNWrUQLly5dCkSRMMHjw42RekN27cwOeff44aNWqgfPny6NChA7Zt2+ZweXt+/PFH+Pr62q0C37JlS/j6+qJr16428+x1WGevA7xRo0ahSZMmAOT7L2nfK/ZERUVh/PjxaNiwIfz9/dGsWTPMmjUr2WNoT+L8xMbGYsqUKcr1lbTDzbT8jbLc85Z7um3btli2bFmyTUuS228g+Q7mhBDYvn07+vXrh1q1asHf3x8NGzbExx9/7LDPi9e1Xylx6NAhDBo0CHXr1oW/vz/q1q2LHj16YNmyZXb/7u7btw99+/ZFjRo14O/vj8aNG2PcuHEIDQ21Wi4iIgL+/v4oU6YMHj9+7PD7Bw8ebHOtP3r0CH/++Sf69u2Lxo0bo1y5cqhWrRq6d++ODRs22N1O0r9Bq1evxvvvv49KlSpZnVtHHeCl9llhuY4tv6+aNGlidQ8l3X54eDimTp2KNm3aoGLFiqhUqRI++OADrF69Gmaz2WZ/jEYj/vjjD3Ts2BGVKlVSzk2XLl0wffp0VuunNxKr2RMlERcXBwB224YtWbIEEyZMgBACOXLkQKlSpXDv3j3s3LkT//zzD6ZMmYLmzZtbrXP58mX06NEDkZGRcHFxQYkSJRAeHo5x48bhxo0bL8zP1q1b8dtvvyFbtmwoXLgwXFxclHkPHjxAnz59cP36dWg0GhQoUAAajQbXr1/HpEmT8M8//2DRokVW60ycOBGLFi0CAOTPnx9FixZFWFgYrl69igsXLqBy5crImzcvAPmH6AcffICgoCBotVoUKVIEzs7OuH//Pg4dOoSzZ8+iW7duKTqud+7cwUcffYTQ0FBotVrodDpERkbi+PHjOH78OA4dOoQJEyZAkiSbdQ0GA/r06YMTJ06gZMmSKFCgAO7cuYMlS5bg2rVryv6khtlsxubNmwEAbdu2hbOzM5o3b45169Zh48aNqFSpkt315s+fj8mTJwMA8uTJA29vbxw/fhxdu3bFJ598kup8pMXdu3fRsWNHhIWFwdXVFcWKFYNarUZoaCj27NmDu3fv4p133gEA6HQ6hIeH4+rVq/Dw8IBOp1O2k7Q9sGXbEydOREJCAooVK4Z79+7hzJkz6N+/PxYsWACtVot+/fpBo9GgUKFCCAoKwokTJ9CrVy+sWbMGpUqVstpedHQ0Bg4ciICAAKhUKuTLlw/u7u64desW5s6di927d+PPP/9Erly5bPKSmvOe2v1Mzu3bt3HmzBloNBq0atUKOXPmRMGCBXH37l3s3bsXrVu3driuEAKDBg3Cvn37ULRoUZQoUQLXrl3D8uXLcejQIaxYscLuvgLA999/jxUrViB//vwoUaIErl+/jk2bNuHgwYNYtmyZw2Y/8+bNw6+//orcuXOjaNGiVi8i9+7di6FDh0Kv1yN79uzw9fXFvXv3sGvXLuzZswfff/89PvjgA6vt/fvvvxgzZgy0Wi28vb2VY3v+/HkEBgbi0KFDmDNnDlQq6/KAiIgIDBw4EKdOnQIAFChQAAULFkRoaCh27dqFCxcuoGnTpjb5v3DhAmbMmAFJklC0aFGEhobiwoULGDZsGAwGA9577z2HxzuxatWq4c8//0RAQIDyYgcAnjx5glu3bgGQA8L4+HirZ2JAQICyfnKKFi0Kf39/nD9/Hk5OTvD39092+aioKHTu3Bl37txBqVKloFKpEBQUhOnTpyM0NBQ//vhjivYrsfj4eHTv3h0XL15E8eLFUbJkSTg5OSnz0/I36saNG+jatSvCw8Ph7OyMkiVLIiwsDD/88AOuX7+e6jy+iF6vxxdffIHdu3cDkO/P0qVL4+HDhzh48CD+++8/dOjQwWqdzLRfP/zwg/IiO0eOHPD19UVYWBhOnDiB48ePo0GDBihYsKCy/K+//op58+YBAPLmzYsCBQrg5s2bWLFiBbZt24aFCxeiXLlyAABPT0/UrVsX//77L7Zv327zogaQn6n79++HWq1Gq1atlOlr1qzBtGnT4OLioty3T58+RUBAAAICAnD69Gl8//33Dvdr7NixWLlyJfLly4fixYunqP+Y1D4rcuXKhcqVK+P8+fPQ6/Xw9/e3un6zZcumpK9du4a+ffviwYMHyu8PvV6PwMBAnD17FgcPHsS0adOsfjN88cUX2LlzJwCgcOHC8PT0xOPHjxEYGIjTp0+jWbNmyJ49+wv3iyhLEURvme7duwudTiemT59uMy8sLExUq1ZN6HQ6sX79eqt5+/fvF76+vqJGjRpi586dVvNWr14typQpIypVqiQePHigTDeZTKJNmzZCp9OJjz/+WISHhyvzduzYIfz9/UXZsmWFTqcTwcHBVtts1KiR0Ol0ws/PT8yYMUMYDAYhhBBms1kkJCQIk8kkOnfuLHQ6nRg2bJh49OiRsm5oaKjo2rWr0Ol0YsKECcr0J0+eiNKlS4sqVaqIEydOWH1ffHy82LJli7h06ZIybeHChUKn04k+ffqIsLAwq+VDQkLE4sWLraYFBwcLnU4nGjVqZDXdbDaLDh06CJ1OJ7p3726V1/3794uKFSsKnU4nli1bZrXe2rVrhU6nE2XLlhWtW7cWN2/eVOadPn1aVK5cWeh0OrF//36RWocPHxY6nU5Uq1ZNJCQkCCGEOHTokNDpdKJ69erKtMQuXLgg/Pz8hK+vr/jrr7+E2WwWQggRHR0thg4dqpzL7t27p+i4OJqemE6nEzqdzmraDz/8IHQ6nRg5cqSIjo62mnf9+nWxcuVKq2lHjx61m6/ERo4cqRzrYcOGiaioKCGEfA2PGzdO6HQ68e6774pGjRqJn3/+WTk+CQkJYsCAAUKn04khQ4bYbHfYsGFCp9OJjz76SAQFBSnTw8PDxaBBg4ROpxODBw+2Wiet5z0l+5kSv/32m9DpdKJfv37KtClTpgidTicGDBhgdx3Ld5cpU0ZUrlxZHDlyRJkXEhIi3n33Xbv7arkGypQpI8qWLSu2bNmizHv69Kno1auX0Ol0omPHjsr1ZmG5NsqWLStWrVqlzDcYDMJgMIj79+8rx+rHH39UzpnJZBJz5sxR1k18zwshxKVLl8S///5rcw8EBQWJbt26CZ1OJ9atW2dzDD799FOh0+lE06ZNxZkzZ6zm3b59W8yfP99qmuVZXLZsWfHDDz+I+Ph4IYT8vJg0aZLQ6XSibt26wmg02j3mST158kTodDpRo0YNq2O1bds2odPpRL169YROp7M6NwkJCaJ8+fKibNmyIi4uTpluuQZHjhxp9R0puWenT5+u7Fe3bt3E/fv3lXl79+4Vfn5+QqfTievXr6dovxLnx8/PTzRv3txqXctxS8vfKLPZLNq3b2/3Ob9lyxZRtmxZUaZMGbt/o+w9mxKz/A1Lut748eOV85T0Hr5//77N3+bXvV/JWbJkidDpdKJChQpiw4YNwmQyKfPCwsLEokWLxJMnT5Rp//zzj3J/b9y4UZkeFRUlPvvsM+VaSnztbdmyReh0OtG5c2e7eVi3bp3Q6XSiV69eVtMDAgLEkSNHbO6XS5cuiVatWgmdTieOHTtmNc9yPfv5+YmKFSuKPXv2KPMS58lyrx49etRm22l5Vji6NixiYmJE06ZNhU6nE//73/+Uv0dCCHHt2jXxzjvvCJ1OJ/766y9l+rlz54ROpxMNGjSwubeioqLE6tWrxb179+x+H1FWxmr2RABiY2Nx+vRpfPLJJ4iIiEChQoVsSt9+++03CCEwfvx4mxKATp06oWfPnoiJicGaNWuU6YcOHcLVq1eRI0cOTJkyBZ6ensq8Fi1aoH///jAYDMnmzTJknkYjV6SRJAlOTk7Yt28fTp8+jXLlymHixInInTu3sk7evHkxdepUuLm5YeXKlYiPjwcgV/c3m82oWbMmqlSpYvU9zs7OeOedd1C6dGll2u3btwEAXbt2RY4cOayWz58/P3r16pVs3i2OHDmilGZNmTLFKq/169fHZ599BgBYsGCB3eqPRqMREyZMQLFixZRpFStWRKdOnQAABw4cSFE+ErNUo27evLlSMlCzZk3kyZMH4eHhdre5ePFimEwmtGjRAt26dVNKBNzd3TFhwoTX9sbfcl569eoFd3d3q3klSpRA586d07ztHDlyYPz48fDw8AAAqFQqfPHFF3B2dsbly5fh6emJkSNHKsfMyckJX331FQDgv//+s9rW5cuXsXXrVhQoUAAzZ8606s3f09MTEydORL58+bBr1y67zVpexXlPicRV7C0s7eb/++8/PH361OG6RqMRgwcPRs2aNZVp+fPnxy+//AIA2LVrF4KDg+2u16VLF6VGBQB4eXlh8uTJcHZ2RmBgoMMxnrt06YIPPvhAuR41Gg00Gg2WL1+O6Oho+Pn5YfTo0co5U6lUGDhwIBo0aACDwWBTs6V06dJo2LChVYkZABQqVAg//fQTACi1WiwCAwOxZ88eODk5Yf78+ahQoYLV/CJFiuDjjz+2m/8SJUpg9OjRcHZ2BiA/44YMGYI8efLg4cOHuHLlit31ksqZMydKlCiBsLAwq5JXS8m75fstny35jo+PR/ny5a1K69ODWq3G5MmT4ePjo0xr3LixUlU/6f2SEiaTCVOmTEGJEiWUaZbjlpa/UUePHlX6DZk0aZLVc/6dd95Bly5dUt0kIDkPHjzA8uXLAQAzZ85E/fr1reb7+PhYdUybmfYrPj4es2fPBgCMGzcO7733nlXtlBw5cqB3797ImTOnMs1SIt+1a1flGQIAHh4emDRpEry8vBASEoItW7Yo8xo3bgw3NzecPn3abhMFy7KJnxUAULVqVdSsWRNqtdpqeunSpfHtt98CsL1vLUwmEz7//HPl2gSQovshLc+KlFi7di2CgoLQrFkzjBkzRvl7BAAlS5bE5MmTIUkSFi9erEy/c+cOAPm3VeL7A5CPd6dOnZAvX75U54Uos2MwT2+tmTNnKu20KlWqhC5duuDUqVOoW7cu/vjjD6s/TiEhIbhw4QJy5cpl9ccuMUubs8Q/FC1j1jdv3tyq+phF0qqE9rRr187udEsVxfbt2yuBfmLe3t4oV64cYmNjcf78eQBQ/pCdPXvWYTvcxCzL79mz56V+0B08eBCA3G7VXpXnLl26wMnJCSEhIbh586bNfD8/P6UaYmKWafZ+8CQnPj5eqYqXOGBTqVTKSxx7nZ1Z2o1/+OGHNvOcnZ3x/vvvpyofaWU5Lzt37kz34dLatGlj08QkW7ZsSrXRDh062DSFKF68OFxcXBAdHY2wsDBluqWNdMuWLa1+jFm4urqiVq1aEELgxIkTNvPT+7ynxIkTJ3D37l24urpaVQkvUaIE/Pz8YDQarfokSEqr1aJjx44200uXLo0qVapACKHcD0nZa7KSK1cutGjRAgAcrueoGrrlenXUFMZSFT1xfwgWer0emzdvxpgxY9C3b1907doVH374odJR5OXLl62W37t3LwC5F/iiRYva/T5H3n//fZsq+1qtVmmza+/lhyOWqvKJn8MBAQHw9PREp06d4OTkhOPHjyvzLNfdi6rYp0W9evWUJkuJWa7f1OyXRalSpVC2bFmb6Wn9G2V5odCyZUurINTCXh8DL+PAgQMwGAyoWLEiqlat+sLlM9N+nTp1CuHh4fD29rYKzB2JiYlR+qWwV13e1dVVaeKS+B50dXVV9jVpvxFPnz7F0aNH4eTkpDwXEouOjsbq1asxcuRI9OnTR7lvLU3Dkt63iaW0OUtSqX1WpMSuXbsAQHlxm1Tp0qVRoEABBAcHK/38WO61I0eO2O2fhOhNxTbz9NbKly+fEhSFhYXh9u3bkCQJOp0O+fPnt1r26tWrAICEhAS7gZxlHiCXPFhYSlAddRJUoEABeHh42O0EzCLpG2YLS2nVypUrrd7qJ2b5/ocPHwKQSz1atmyJHTt2oHnz5qhRowaqV6+OKlWqoGLFijYvBTp06ICFCxdi3bp1OHDgAOrVq4cqVaqgZs2aqRoz3ZKPkiVL2p3v4eGBfPny4c6dO7h9+7bNPjv6LsuPtJiYmBTnBZCDzJiYGHh7e9sMNda2bVv88ccf+PfffxEREaHUpoiMjMSTJ08AOD4njqant27dumHDhg2YPXs2Nm7ciLp166Jq1aqoUaOGVSlgWiR3rG/cuIHChQs7nH/v3j3ExsbCy8sLwPP7Zs+ePQ47FbS8VEp836QkL0Dqz3tKWErlLaVjibVt2xaXLl3Cxo0b7f44B+QflPZeXADy9XHy5EnlfkjM0ibU0XoA7K6XeH5SL7rvLP0bPH78GNHR0Uq+7927hz59+ijtzO2JiIiw+mx5CZe0RD4lHF1Tlr4FUtPJZbVq1bBy5UoEBAQo7aWvXbuGxo0bw9XVFeXLl8fZs2eh1+vh5OSU4vbyafGi6zctnXc66jfhZf9GObqGihYtCo1Gk26l85Z+YlJ6nWSm/bLkvXz58jYvn+yx1IRzcnJyeC1Y7s2k93bbtm2xefNmbNmyBf3791emb9++HUajEU2bNrUpILh48SIGDBig/L23J+l9a+Hl5WX3pceLpOVZkRKW8z5t2jTMnTvX7jKWF8cPHjxA3rx5UalSJVSoUAFnz55Fw4YNUbt2bVSrVg3VqlVD2bJl7fbHQ/QmYDBPb62k48xfv34dn3zyCRYtWoRs2bLh008/VeZFRUUBkN96Wzp3ciRxb9eWzvSSVoVOzN3dPdlg3l5HfJa8AM//6CXHUs0ekDvAK1myJNasWYODBw8qpX05c+bExx9/jN69eys/VHx8fLBq1SpMmzYN+/btw/r167F+/XoAcnXnUaNGOewoLjHLj9bkfizkypULd+7csRugJQ2qLFLyg8oeS6n7O++8Y7ONcuXKoWjRorh9+za2b9+OLl26WO0D4Hg/HHVslt78/Pzw119/YcaMGTh69ChWrVqFVatWQZIk1KlTB998802aXyw4ut4sP4QcVb20zE9cU8By39y5c0epAumIvV7i0/u8v4her8f27dsBWNfYsGjTpg0mT56Mc+fO4ebNm3YDq+SuAcs8e9d4jhw5HO5XcusBjo+T5Zp1lKfE02NiYpRgftSoUbh16xYqVKiAwYMHw8/PD56entBqtTAajShbtqxNEGR5HqWlqYmja85yPFJT+yRpyfyJEycghFBe2lWtWhUnTpxAYGAgKlasiFOnTkGj0aToOZZaL7p+01KrxtE20/o3ynKNWF7A2curl5cXHj16lOq82pPa6yQz7Vdq8265X3PmzOkwkLQ0OUt6b9epUwdeXl64cuUKrl+/rgT9llpBSZ9PJpMJQ4cOxcOHD9GgQQP069cPJUuWRPbs2aFWq3Hnzh00b97c4csLR9fVi6TlWZESlmN94cKFFy5r+X2jUqkwf/58zJw5E5s2bcLevXuVGkMFChTAoEGDUlQbkiirYTBP9EzJkiUxdepUdOrUCbNnz0bbtm2Vt+mWP3SVK1dWhpRLCcuP1ORKYNJaumjJ0+LFi1G7du0Ur+fs7IzBgwdj8ODBuHHjBk6cOIF///0X+/fvx8SJEwEAffv2VZYvUaIEpk+fDr1ej9OnTyMgIABbt27FmTNn0KdPH2zevNmq597k8ppcW2NLqXdyLz7Sw+PHj5UqjYsXL7Zqc5fUxo0blWA+8Y+dp0+f2m0uYNmHlLIXACeW3HVTsWJFLFy4EDExMTh16hSOHTuGLVu24ODBg+jduze2bNmS4b32Wo7Zjz/+6LC6ZGbyzz//KEMXvWhkgo0bN2LYsGE205O7xi3z7F3j4eHhMJvNdgP65NZLjpubG6KiovDkyRO7pd+Jr1fLth88eIBjx47B1dUV8+bNs+krI+lQWknXz+ihn3x8fFC4cGEEBQXh1q1bSpV6S5BfvXp1zJ07F8ePH4dWq0VsbCwqVKjwyp87r1pa/0ZZ1kvcPCYxs9n8wirLQgi7waq951dqr5OM3K+kUpt3y/JPnz51eIwsw88lvf40Gg1atGih1LwbOnQoQkNDcerUKbi7u6NRo0ZWywcGBuLOnTtK/yRJ27A7um9fRlqfFSnh5uaGyMhI7Nq1y2GNJXs8PT0xevRofPPNN7h8+TICAgKwZ88eHDt2DF9//TXc3NzQsmXLNOeLKDNim3miRPz9/dGqVSsYDAbMmjVLmW55K37z5k27Y5s6Ymk76qgDp3v37iVbKp8cS8lrSkrmk9tG586dMXfuXIwdOxaAPM6sPU5OTqhRowYGDRqELVu2oHLlyoiNjU22/bCF5Tg4Gg4oOjpa+cOf2va2qbVlyxaYTCY4OTkhd+7cDv8BchtJS7vW7NmzKyWZ9tr1JzfdEcvLHkcBYEqGBnJ3d0e9evUwYsQIbN++HYULF8aDBw+sOofLqOqFlvvmZa7R1HjZ/bTU2HB3d3d4XVh+sG7evNnuS5jQ0FCHL+gs1XTtXeMGg8Hh+U5uveS86L67du0aALl0MHEVe0Cuzp30xzng+FlmOddnz55NVR5fBUvgfuLECZw4cQLZsmWDn58fAKBSpUrQarU4fvy4UnqfkrbbFpm1qu7L/o1y9Oy6c+eOw05ak3tJGxUVZTeQTu11khH75YilWcq5c+dSlJfChQtDpVJBr9c77B/Bcm/au7fbtm0L4Hlp/JYtWyCEQNOmTW1qSFk6EC1btqxNIA+krd36i6T1WZESlt83lmdUakmSBD8/P/Ts2RNLly5Vmiok7iSR6E3BYJ4oCctDf/PmzcofyKJFiyrjp27YsCHF26pTpw4AuTMXe0H7unXr0pxPS6++q1atsltFObUqVqwIAMm2t7NQq9VKJ04pWb5evXoAgB07dtit1rhq1Sro9XoUKFDAYZvQ9GIJ2Pr3749Dhw45/Gepdpu4IzxLDYiVK1fabFev12Pt2rWpyouXlxeyZcuG+Ph4uz9aUvvDw9XVVRlfPfF5sfzwS9zc4nWwdCC3adMmhyVk6ell9jMsLEzpNGvOnDkOr4u9e/fC2dkZISEhdjvtMxgM+Pvvv22mX716FSdOnFCaQthj6eU7sadPn2LHjh0A4HA9R+rWrQsAypjYSf35559WywHPj+GTJ0/svqxYsGCB3W1ZzvWePXtS9BLqVbIE83v37sWlS5dQpUoVpcaDm5sbypQpgzNnzigdlCbtNyM5GXUvvUha/0ZZzv2OHTvs3qP2rkkLS42sc+fO2cxz9Oxq0KABtFotzpw5g5MnT74wfxmxX45UrlwZXl5eePDggcN+ahJzd3dX/o5Y7rXE4uPjleOU+B60qFKlCvLnz4+goCAEBgYqQX3SXuyB59elpaQ/MYPBgKVLl74wv6mV1mdF4nUd/Xax/L5ZunRpunTyaumjISW/V4iyGgbzREmULl0adevWhdFotPpjNGLECEiShB9++AFr1qyxaQcWHByMOXPmKL2wAnLw5+vri7CwMIwYMcKqet6ePXswb948aLXaNOWzWbNmqFixIm7evImBAwfatEnW6/XYt28fvv76a2XakSNH8Msvv9iU1MXExCj7mrin5KlTp2LNmjU21QqvXr2qtC0uU6bMC/Nas2ZNlCtXDnq9Hl988YVV9d6DBw9i5syZAIB+/fq90pKva9eu4eLFiwDwwt6ILaUiiYfV6dWrF1QqFbZv344VK1YoPzJiY2Px9ddfp7qjH0mSlB9xEyZMsCrRXb9+vcOXA2PHjsW2bduUPhksAgICcOTIEQDW58Xyo/v69evJVgNPb+XKlUOrVq0QHh6OPn36KMfewmQy4dixYxg+fDj0ev1Lf9/L7Oe2bdtgMBiQP3/+ZIM7Dw8PpYqrvREPNBoNZsyYYdVj+v3795WenZs3b263yrtlKDnLfQXIVe+//PJLJCQkwN/f32q4u5T48MMP4eHhgUuXLuGnn35SjrHZbMb8+fOxb98+aLVa9O7dW1mnZMmS8PT0xP379zFnzhzlGk9ISMCPP/5ocw4t/P390axZMyQkJKBfv34IDAy0mn/nzh0sXLgwVflPK0swv2/fPpjNZpvO7apVq4a4uDgcPnwYKpXKZpjO5OTMmRPu7u548uSJUmMis0jL36hatWqhTJkyiIuLw1dffWX1DNu2bRtWrFhhd7QUAMqwcr/99ptVEHngwAHMmjXL4SgrltEVBg8ebDNCw4MHD5S/Bxm1X444OzsrfemMHTtWKSm3iIiIwJIlS6yePf369QMArFixwupvSXR0NL766is8ffoUBQoUsBugS5KkjK4yY8YMXLp0CV5eXnZf6lWoUAEajQanTp2yeukRFRWFESNG2A3yX1ZanxXA884hEz8nE+vcuTMKFSqEY8eOYcSIETZBeExMDLZt24aff/5ZmbZp0ybMmjXLZpSTsLAw5WVKSn6vEGU1bDNPZMfHH3+MgwcPYu3atfj000+RJ08eNGjQAN9++y3Gjx+PMWPG4Oeff0bRokUhSRLu37+v/LEcN26csh2VSoWJEyeiR48e+Pfff1G/fn1lHOSQkBD06NED//zzD0JCQmzGhn0RlUqFGTNmYMCAATh8+DCaN2+OIkWKIEeOHIiJiVGqESYe0z0mJgaLFi3CokWLkDNnTuTPnx9GoxF37txBXFwcsmXLZhX8X7t2DXPnzsV3332HQoUKwdPTExEREcqLgxo1aqRoOBtJkvDrr7+iZ8+eOH78OBo2bIhSpUohOjpa2dZ7772ntE9/VSzBV6VKlV7YDq9169b4+eefcfv2bZw5cwYVK1aEv78/hg4diilTpmDcuHGYPXs2vL29cevWLRgMBnz66aeYNm1aqvI0ePBg7N+/HwcPHkTdunVRrFgxPHz4EI8ePcK4ceOsrieLM2fOYOXKldBoNChSpIgSXFhqkrz77rtWgV/OnDlRs2ZNHD16FE2bNkXJkiXh7OyM3LlzY+rUqanKb2qNHz8ekZGROHToENq3b4/8+fMjT548iIuLQ1BQkFLCaRmT+GW8zH5aro22bdu+8IXSu+++ix07dmDHjh349ttvlXG+Afnacnd3R48ePVC0aFG4ubnh6tWrMBqNKFSokDLec1I+Pj6oX78+hg4dqow/ff36dcTHxyNHjhyYOHFiql90+fj4YOLEiRgyZAj++OMPbNiwAYULF8a9e/fw5MkTqFQqfPvttyhdurSyjlarxZAhQ/DDDz9g2rRpWL58OXx8fHD79m3ExMTgf//7H8aMGWP3+8aPH4/Hjx/j9OnT6NSpEwoUKAAvLy/l+VigQAGr/jhelYIFCyJ//vxKNeCkL2eqV6+OBQsWQAiBMmXK2B021BFJktCyZUusXbsW7du3R6lSpZTq5vZKX1+ntPyNkiQJEydORPfu3XHgwAHUr18fJUuWVP5Gde3aFfv371eeLYn17dsXGzduxKVLl9CoUSOUKFECkZGRCAkJQf/+/bF161a76w0fPhzBwcHYu3cv+vbtC29vb/j4+ODRo0d48OABhBAYNGhQhu1Xcnr06IGbN29ixYoVGD58OH788UcULFgQT58+xf3792EymdC0aVOlk9RGjRqhf//+mDdvHkaMGIFff/0VuXLlws2bNxEbGwtPT0/89ttvDjsWbdu2LRYsWKA0m2rZsqXdlxB58uRBz549sWjRIowcORLTpk2Dl5cXbty4AZPJhNGjR9v9W/IyXuZZ0apVK+zbtw/jxo3D8uXLlWr633zzDfz8/ODu7o7ff/8d/fv3x5YtW7Bt2zYUK1YMHh4eiIiIQHBwMEwmk9WoCE+fPsX06dMxffp0+Pj4wNvbGwkJCcrfZx8fHwwZMiRdjwFRZsCSeSI7atWqBX9/fyQkJFh1kGYZEqxTp07ImTMnrl+/jjt37sDLywtt2rTBtGnTbMaFL126NNauXYt33nkHzs7OuHbtGtzd3fHdd99hzJgxSidBaemAydvbG6tWrcLYsWNRrVo1hIeH4+LFi4iJiUH58uUxePBgq+p1VapUwZgxY9CoUSO4ubnhxo0bCAkJQeHChfHxxx9j+/btViXzn3zyCfr376+MV3/p0iXEx8ejevXq+OWXX7Bo0aIUl24UKVIE69evR58+fZA/f35cu3YNT548QbVq1TBx4kT88ssvr7RU3mw2KyUjllL35Hh5eSml5olLYAcMGIDp06ejQoUKiIyMRHBwMKpWrYrly5enqoTPokSJEli2bBnq1asHSZJw69YtFCxYEHPnznU4FNPXX3+Nnj17KrU+Ll26BECuqjlnzhylI8PEfv31V3To0AEeHh64cOECjh8//lraN7u7u2PBggWYPHky6tati7i4OFy8eBFhYWHw9fVFv379sGbNGquA+GWkZT9v376tLJOS8aPr16+PHDlyICoqCv/884/VPEmSMHPmTAwePBhCCFy/fh1eXl748MMPsXr1arsdJ1qMHTsWo0ePhru7O65duwZXV1e0bdsW69atS/PoBE2aNMG6devQtm1bODk54fLlyxBCoFmzZli+fDk6d+5ss063bt0wadIk+Pn5ITw8HEFBQfD398e8efOS7cjQ09MTf/75J7777jtUrlwZkZGRuHbtGlxcXNCiRQuHLzJeBUs7eEu1+sSqVKmivDxNTXt5i9GjR6Nnz57InTs3rly5guPHjzssYXzd0vI3qlSpUvj777/Rpk0buLi4KH+jvv32W3z33XcOvytnzpxYsWIFWrZsCVdXV9y6dQuenp74+eefMXz4cIfrOTk5YdasWZg8eTJq1aoFvV6Py5cvQ6VSoUGDBvjll18ydL+SI0kSxo0bh3nz5qFRo0aQJAmXL1+G0WhEtWrVMHbsWHh7e1utM3z4cMydOxd16tRBbGwsrly5Ai8vL3Tp0gUbN25E+fLlHX5f6dKlrYaWtDfKhsVXX32Fb775BsWLF8ejR49w79491KpVS/n78iqk9VnRrl07jB49Gr6+vggKClLuocS1AEuUKIGNGzdi+PDhKFeuHB48eIBLly7BYDCgWrVqGDlyJKZMmaIs36JFC4wYMQJ16tSBWq3G1atX8fDhQ+h0OgwdOhRbtmyxGXaY6E0gifRojEJEaRIWFoaaNWsie/bsSmdM9OYJDg5G06ZNUbhwYezevTujs0OvwLFjx9CzZ09Ur149VSW0d+/eRZMmTVCgQAGbFwNEREREyWHJPFEGsnSA9yrGOKbMw1LakNFDxRERERHRm4PBPNErduXKFaxatcqqczMhBDZu3Ki0r37VbcUpY1k6ZkrcNpmIiIiI6GWwAzyiVyw8PBzfffcdvv/+e+TPnx85cuRAcHAwwsPDAci9tjZu3DhjM0mvxNy5c7Fu3TrcuXMHKpUKH3zwQUZniYiIiIjeECkO5l/HGMGU+Vh6L6e0y507N7p3747jx4/jwYMHuHfvHtzd3VG1alW89957aNasWaa8v3juX96VK1dw79496HQ69O3bF4ULF86U5zopnvvUi4qKAiCP6Zyac2w5ziaTKVNcGzz3by+e+7cXz/3bi+c+c/Py8nrhMinuAC8z/Mig18/Ly4vn/i3Fc//24rl/e/Hcv7147t9ePPdvL577zC0lwTzbzBMRERERERFlMQzmiYiIiIiIiLIYBvNEREREREREWQyDeSIiIiIiIqIshsE8ERERERERURbDYJ6IiIiIiIgoi2EwT0RERERERJTFMJgnIiIiIiIiymIYzBMRERERERFlMQzmiYiIiIiIiLIYBvNEREREREREWQyDeSIiIiIiIqIshsE8ERERERERURbDYJ6IiIiIiIgoi2EwT0RERERERJTFaDI6A0RERFmd2SwQFgY8fPTs30Pg4UOByCjAZAKEGTALwMUF8MwO5M0roUhhoIwf4OwsZXT2iYiIKAtiME9ERJRCsbECwXeBO0FAcLDAnSBLGtDrU7MlAQDQagH/sgJVKkuoUwsoVYqBPREREaUMg3kiIqIkoqMFrt8AbtwEgoLkoD0oSC51TymNBvD0BNRqQK0CIAHx8UBkpFxaDwAGA3D6DHD6jMCCRUDJEgId35fQsjmg0TCwJyIiIscYzBMR0VsvNFTgWABw4qTAlatAaGjK1vPxAYoUBgoXBvLnk+DjDXh7A955AC8vQKWyDchNJoGHD4HLV4CTpwVOnQKCguV5128AEyYKLP4D6N4VaN2S1fCJiIjIPgbzRET0VgoKEti6XWD/f8Ddu46Xc3EBChWUA/YihSUULiQH8AULAq6uqQ+01WoJ+fIB+fIBjRrK698LFdi5C9i4WeDxY+DBA+DXqQJL/wQGDwIaNQAkiUE9ERERPcdgnoiI3hpCCJw4CSxfKRBwwnZ+Dk+gnL/cdl1XCihRXC59t1fCnp7y55PQ+yOg24fAth3AsuUCofeBR4+B78YJ1KwBfDFUXo6IiIgIYDBPRERviWvXBGbOETh5ynp62TJAndoSqlcDdKVefeCeHCcnCe3eBdq0loP63+cJREQCR48BPXoJfNwH6NwpY/NIREREmQODeSIieqPp9QKL/xBYtgIwm+Vpzs7AO62A99tLKFIk8wXGGo2Ed9sA9esCs+cKbNsBJCQAs+YIHD4CjP4ayOuT+fJNREREr48qozNARET0qoTcExjwqcCfy+RAXq0COrQD/l4l4YuhqkwZyCeWI4eEb0apMOM3Cfnzy9NOnwF69RHYtUdkaN6IiIgoYzGYJyKiN9Kx4wJ9+wtcuy5/LlkCWDBPDuK9cmTuID6pShUlLFkgoU1r+XN0DPDDjwK/TDYjIYFBPRER0duIwTwREb1xdu4S+Oprgeho+XPnTsD8uRJKlcxaQXxibm4SRn2lwk//k+CZXZ62eQvw2ecC9+8zoCciInrbMJgnIqI3yvqNAv/7ScBkArRaYOy3EgZ/poJWm3UD+cTq15OweIGEMn7y58tXgL79BQJOMKAnIiJ6mzCYJyKiN8bGzQK/TpWDWjc34NeJEpo1eTOC+MS8vSXMnCahfTv5c0QkMPwrgTVrBYRgUE9ERPQ2YDBPRERvhL3/CEz6VQ5k3d2BaVMkVK705gXyFk5OEoYPVWHMNxKcnOQO/qbNEJj4q4DBwICeiIjoTcdgnoiIsrzAcwLjf5YDWFdXuUTer/SbG8gn1rK5hFnTJeTKJX/evAUYNkIgIoIBPRER0ZuMwTwREWVpDx4KfDNGQG+Qh54b/4ME/7JvRyBv4VdawoK5Ekr7yp/PnAU+GSQQGsqAnoiI6E3FYJ6IiLIso1Fg7PcC4RHy5xFfSKhe7e0K5C3y5JFL6Js0kj8HBQMDPxO4do0BPRER0ZuIwTwREWVZv88XOH9BTr/bFmjb5u0M5C2cnSWM/VZC5w/kz0+eAp8NEThxkgE9ERHRm4bBPBERZUkHDwusWCWnS5YAhgx6uwN5C5VKwuBPVRj0qXw8YmOBESMFdu1mQE9ERPQmYTBPRERZzv37zzu8c3MD/ve9BGdnBvOJdflAwrhvJWg0gNEI/DBeYPUaBvRERERvCgbzRESUpZjNAj/+LBAVJX8eOUJCoYIM5O1p2kTCrxMluLvLn6fPEvhrOQN6IiKiNwGDeSIiylI2bpZ7aweAtm2AJo0ZyCenSmUJM3+TkMNT/jx3nsCSpQzoiYiIsjoG80RElGXcvy8we64ciHp7A4M+YSCfEqVKSZg+VYKXl/x5wSKB+QvNEIJBPRERUVbFYJ6IiLIEIQR+mSwQFyd/HjlCgrs7g/mUKl5cLqHPlUv+/MefwF/LMzZPRERElHYM5omIKEvYshUIOCGnW7cCalRnIJ9aRYpImDlNQu7c8uff5wts2MjSeSIioqyIwTwREWV6j58IzJwjB525cwODP2Ugn1aFCkqYMklC9uzy519/E9izlwE9ERFRVsNgnoiIMr3ZcwRiYuT0iC8kZMvGYP5lFC8mYfIvElxdACGA//0kcPQYA3oiIqKshME8ERFlamfOCuzaI6fr1QHq1mYgnx7K+En4ebwErRYwmYDvvhe4cdOY0dkiIiKiFGIwT0REmZbRKDDlN7nE2MkJ+HwQA/n0VLWKhO9Gy8c0NhYYNCQKkZEsoSciIsoKGMwTEVGmtW49cPOWnO7ZXUK+fAzm01ujhhL69JKPa1CQGd99L2A0MqAnIiLK7BjMExFRpvTkicDCJXJQWSA/8GHnDM7QG6xXT6BhfTl94iQwaw6DeSIiosyOwTwREWVKc+c97/RuyGAJzs4slX9VVCoJo7+W4OurBgCsWQvsZg/3REREmRqDeSIiynQuXxHYvlNO16kN1K7FQP5Vc3WVMPO3bPB8NmTdpF8FQkIY0BMREWVWDOaJiChTEUJg5mw5iFSrgc8+YSD/uuTPr8Y3o553iDfufwIGAwN6IiKizIjBPBERZSoHDgJnzsrpDu2AwoUYzL9OdWpL6Pi+nL50GZi/iME8ERFRZsRgnoiIMg2DQWD2s87XsmUDen/EQD4jfNJfQskScnr5CuB4AAN6IiKizIbBPBERZRrrNgAh9+R0754SsmdnMJ8RnJ0lfP+dBBcX+fNPvwhERzOgJyIiykwYzBMRUaYQESGw+A85YCxYEGjfLmPz87YrUkTC4M/klymPHwNz5zOYJyIiykwYzBMRUaaweKlAdLSc/mygBK2WpfIZ7d02QMUKcnrDRiDwHAN6IiKizILBPBERZbigIIH1G+R0pYpA3ToZmRuykCQJX42Q4KSVP0+cLKDXM6AnIiLKDBjMExFRhpv9u4DJBEgSMOhTCZLEUvnMonAhCb2edUR4+w7w5zIG80RERJkBg3kiIspQJ08JHDwkp1u1AHx1DOQzm65dgBLF5fSfy4DbdxjQExERZTQG80RElGFMJoGZs+XA0MUF6NeXgXxmpNFIGPmlBEkCjEZg+kwBIRjQExERZSQG80RElGF27AKuXZfTXbtIyJOHwXxmVcZPQpt35PTxAODI0YzNDxER0dtOk9EZICKit1NsrMC8BXLpbu7cwIedMzhDWdTly5dx8OBBXL58GcHBwQgLC0NMTAzc3d1RpEgR1K5dGx06dICnp2eatn/q1CkcO3bs2fZDYEyIAEQsRozIhgrli6NhwwZ477334GIZlJ6IiIheCwbzRESUIVauBp48kdP9+0pwdWWpfFps2bIFf//9t/LZ2dkZzs7OiIyMxLlz53Du3DmsWrUKEydORPny5VO9/WXLluHQoUPKZ63WFQaDE8ymcJw+fQqnT5/CqlWrMHXqVBQpUiRd9omIiIhejME8ERG9do8fCyxfKZfKlyoJtGiewRnKwsqUKYPBgwejQoUKKFKkCLJlywYAiI2Nxb///osZM2YgPDwcI0eOxJo1a+Dh4ZGq7VerVg01atRAhQoVULBgQTg5uaFHL4HguxFwUu+C2TQb9+7dw8iRI7F8+XKoVGzBR0RE9DowmCciotdu/iKB+Hg5/dknEtRqlsqnVevWre1Od3NzwzvvvINcuXJh6NChCAsLw3///YdWrVqlavtdunSxmTboU2DUaE8YzJ1Q3l+LUycn4vbt2wgMDETFihXTshtERESUSgzmiYgo3X3yySc4ffo0+vbtiz59+mD16tXYvn07goODodG6IDraHyrNx6hTuxSqVpEQHx+P5cuXY8+ePbh37x6cnJxQrVo1fPLJJyhYsKDd7zCZTNi+fTt2796Nq1evIioqCh4eHvD19UWbNm3QtGlTu+PVh4WF4fDhwzh8+DBu3bqFhw8fwmAwIGfOnKhQoQI++OADlClTxu53zp8/HwsXLkSlSpUwZ84cBAQEYMWKFbh48SJiY2ORL18+NGvWDD169ICzs3O6HtO0KleunJJ+9OhRumyzTm2gahXgxEng3AX/dN8+ERERvRiDeSIiemWMRiOGDRuG48ePQ6vVQqPRICoyDMB/MOlPokXzmYiIKIDBgwfj6tWrSgAcGRmJvXv34tSpU1i8eDHy5s1rtd0nT57gq6++woULF5RpHh4eCA8Px7Fjx3Ds2DHs2rULP/30E7RardW6M2bMwLZt25TPbm5uMJlMCA0NRWhoKHbt2oUvvvgCHTt2THbf/vrrL8yaNUv5boPBgDt37mDBggU4ffo0pk+fDrVa/TKHL12cOXNGSTt6MZJakiThs4FA734CJuNZZXqhQoXSZftERET0YgzmiYjolVm3bh1UKhV++ukn1K9fH8dPqPDlV5dgMnwLiHtYuWIqdu3MiaioKEybNg3VqlUDAJw8eRLfffcdwsLCMHfuXIwbN07ZpsFgwJdffomLFy/C19cXAwYMQOXKleHi4oK4uDilnfh///2HWbNmYejQoVZ5yp8/P3r16oVGjRqhYMGCcHd3hxACwcHBWLlyJdatW4epU6eifPny0Ol0dvfr+vXrOHv2LLp3746uXbvCy8sLMTExWL58ORYuXIiTJ09i27ZtaNu27as6tMnS6/V4/PgxDh8+jHnz5gGQA+169eqly/bj4+Ph7PwQxYr8g2tXFgEAfH0ronTp0umyfSIiInoxBvNERPTKREVFYe7cuahYsSKMRoHZcwUklR/cPEYhNupznDt3Ds7Ozvjrr7+sSnWrVauGTz/9FOPHj8e///6LMWPGQKOR/2Rt3LgRFy9eRPHixTF79my4u7sr67m6uqJ169YoXrw4evfujbVr16Jnz57ImTOnsszHH39sk09JklC4cGF89dVXEEJg/fr1+Pvvv/HNN9843K9evXph4MCByjR3d3f069cPFy5cwNGjR7Fr1y6bYP7kyZP47LPP0nYwAYwZMwZt2rRxOL9+/frQ6/U20ytWrIhx48bZ1FJIjSdPnuCdd96xM0eCpKoHT6/Rad42ERERpR67nCUiolemQoUKSodoW7YBt2/L0z/qWRlOTk4AgEaNGtmtnl2jRg0AQEJCAoKDg5XpmzZtAgB06NDBKpBPrHTp0ihevDgMBgNOnjyZqjxbSq/Pnj3rcBmtVosePXrYndewYUMAcum9vfVy5syZ5n8vaodvWc7V1VWZVrVqVXz++ec2TRVSS6VS2c1HwYKNodJ8glNnsuP0GfFS30FEREQpx5J5IiJ6Zfz8/AAAsbECCxfLgZ6PD9DlAzX+Xu2JR48eKcsklbg0PTIyEgAQExOjBMnz5s3DokWLHH63ZZ379+/bzLtx4wbWr1+Ps2fP4t69e4iLi4PZbLZa5uHDhw63XaxYMYcvEry9va2+P7Hy5ctbtddPbxs2bFDST58+xfbt2/HHH3+gb9++6N27N/r375/mbXt5eSl5F0Lg0aNHWLduHZYvXw6Tfj9Umi/w+/x2mDMTdjseJCIiovTFYJ6IiF4ZS8D713KBsDB52oCPJTg7S0rncI6CYku1ekDuSA+Qq3pbgm57wbI98ZYx8J5Zu3YtpkyZApPJpEzz8PCAVquFJEkwGo2IjIxEXFzcC/fLHkupdeLtZ4ScOXOiW7duqFSpEvr164dFixahTJkyqFu37ktvW5IkeHt7Y+DAgShdujRGjRoFs3Eyzp0ri0OHdahbJx12gIiIiJLFYJ6IiF6pBw8FVq6W06V9gaZN0r6txKXnCxYsgL+/fzJL27p9+7YSyDdo0AA9evSATqdTqvwDQEBAAAYPHpz2TGYyZcqUQfny5XH69Gls2LAhXYL5xBo2bAgfn7x48OA+zKbNWLTkC9SpzdJ5IiKiV43BPBERvVLzFghY+mQb9KkElSrtQV7iqvc3btxIdTD/zz//wGQyoUiRIvjpp5/sDh33+PHjNOfvRQIDAzFq1Kg0rz9s2DA0a9Ys1evlyZMHAHD37t00f3dyvL3z4MGD+4AIwdVrwKHDYOk8ERHRK8ZgnoiIXpknT4Cdu+R0vbpAxQovV1qbPXt2FCtWDLdu3cLu3bvx3nvvpWr9Bw8eAABKlSrlcAz4gICAl8pjcgwGA54+fZrm9RMSEtK0XkhICIDkmweklRAC9+7dAwBoNG4QABYtESydJyIiesUYzBMR0StzPEDu9E6tBj4ZkD6BXbt27TB16lScOHECu3fvTrakOiIiAp6enspnDw8PAMDNmzchhLAJNi9fvozdu3enSz7tqVKlCo4ePZpu2zOZTFCpVMkGzQEBAbh48SIAoFKlSqnavtFotOq7wJ4tW7bgyZMnAIDq1Svh2AmwdJ6IiOg14NB0RET0yoQ+60i+/XtA4ULpE8y3b98eZcuWBQCMGzcOc+fOVUrcAbnDu5MnT2Ly5Mno2LGj1bq1atUCIAfzv/zyC8LDwwHIJd47duzAkCFD4Obmli75fB0ePHiA7t274++//0ZQUBCEEFbzli5diq+++gpCCGTPnh0ffvihzTbmz5+PmjVrombNmjbV8M+ePYv+/ftjy5YtCA0NtZoXFBSEWbNmYcKECQCAggUL4utR78DjWeH/oiXCKj9ERESUvlgyT0RE6S5xDOfhDvTqmX7VrZ2cnPDrr79izJgxOHHiBJYsWYIlS5bA3d0dKpUK0dHRShCZtCp91apV0aJFC+zcuRMbNmzAhg0bkC1bNsTGxsJkMqFgwYLo378/vvvuu3TL76t248YNTJ48GYA8AoCHhwcSEhKseuPPnz8/fv75Z+TKlSvV2w8MDERgYCAA+di7ubkhLi7Oqsp/qVKl8MsvvyB3bld80Elg0RLB0nkiIqJXjME8ERGlu2e1rgEAPXtIyJEjfdtO58iRAzNmzMB///2HHTt24MKFCwh7NvZdnjx5UKJECdSpUwf169e3WXfs2LHw9/fH5s2bcefOHZhMJhQtWhQNGjRAt27dcPny5XTN66uUJ08ejB8/HqdOncKFCxfw5MkThIeHQ6VSIW/evChZsiTq16+P5s2bw8XFJdXbL126NMaOHYtTp07h8uXLePLkCSIiIuDk5ISCBQvC19cXDRs2ROPGjZUXJ53eB1avAaJj2HaeiIjoVZJECuvAWX4k0dvFy8uL5/4txXP/9nrZcx8dLdClm0B4BJAvL7BsqQQnJwZzWUF63feLlsil8wAwYbyEunV4/jM7PvPfXjz3by+e+8zNy8vrhcuwzTwREaWrJUvlQB4ABvZnIP826vQ+2HaeiIjoFWMwT0RE6SYoSGDNWjldzh9o3Chj80MZI1s2CR90kl/iWNrOExERUfpiME9EROlmxmwBkwmQJGDIYIltpd9iLJ0nIiJ6tRjMExFRujhyVODIsyHUW7cCSvsykH+bsXSeiIjo1WIwT0REL81gEJg+Sy55dXMDBnzMQJ5YOk9ERPQqMZgnIqKXtnY9EBwsp3v1lJAzJ4N5Yuk8ERHRq8RgnoiIXsrTpwKL/5BLXAsWlEtjiSxYOk9ERPRqMJgnIqKXMn+hQEyMnP78MwlaLUvl6bls2SR06iinr14DDh3J2PwQERG9KRjMExFRml25KrBlm5yuUR2oVTNj80OZ0wcdJZbOExERpTMG80RElCZms8DUaQJCAGq1XCrPoejIHqvS+assnSciIkoPDOaJiChNtu8Ezl+Q0x3fB4oUYSBPjrF0noiIKH0xmCciolSLjBKYM1cOxnLnBvr2YiBPyWPpPBERUfpiME9ERKk2f6FAeIScHvSJBDc3BvP0Yp06SnBn6TwREVG6YDBPRESpcvmKwIaNcrpyJaBJ44zND2Ud2bNJ+ICl80REROmCwTwREaWY2Sww5bfnnd4NG8JO7yh1WDpPRESUPhjMExFRim3bDly8JKc7dwKKFWUgT6nD0nkiIqL0wWCeiIhSJDJSYM7vcilqntxAr54M5CltrErnFwuYzSydJyIiSi0G80RElCLzFghERMrpQZ+x0ztKO6vS+WvA/gMZmx8iIqKsiME8ERG90PkLAhs3y+kqlYHGDTM0O/QG6NxJQvbscnrBIgGjkaXzREREqcFgnoiIkmUwCEycLHd6p9UCw4ey0zt6eR4eErp3la+jO0HArt0ZnCEiIqIshsE8EREla8Uq4OYtOf1RDwmFCzOQp/TRoR2QK5ecXrREQK9n6TwREVFKMZgnIiKHgu8KLPlDDrCKFgW6fZix+aFXRwq7A9PRBZDCg17bd7q4SEpHivcfAJu3vravJiIiyvIYzBMRkV1CCEz6VUBvkD9/NVyCVstS+TeV5voeiKCT0Fx7vfXd27QG8uWV038sFYiLY+k8ERFRSjCYJyIiu3bsBE6dltPvtQXKl2Mg/0Yzxlv//5potRL69JavradhwNr1r/XriYiIsiwG80REZCMsXGDGbLmENFdOYGB/BvL06jRvChQtIqeXrRCIimLpPBER0YswmCciIhszZwlEPhtTfujnErJlYzBPr45aLaFfX/kai4oCVq5mME9ERPQiDOaJiMjK4SN67HzWbLpObaBhg4zND70d6tcDfHVyevUa4OlTBvRERETJYTBPRESK+HiBH36MAQC4ugJfcEx5ek0kScKAfvK1FhcPLF7KYJ6IiCg5DOaJiEix+A+B4LtmAED/jyX4eDOQp9enejUJVavI6U2bgKBgBvRERESOMJgnIiIAwLXrAitXyWm/0kCHdhmaHXpLfTpQfoFkMgPz5jOYJyIicoTBPBERwWQSmDhZwGQG1Gp5THm1mqXy9PrpSklo3lRO7zsAnL/AgJ6IiMgeBvNERIT1G4FLl+X0Rz1cUKoUA3nKOP36StBq5fTsuQJCMKAnIiJKisE8EdFb7sFDgd+fVWfOlw/4dKBbBueI3nb58kno0F5OB54DDh7K2PwQERFlRgzmiYjeYkIITPlNIC5O/vzlFxJcXVkqTxnvo+4SPDzk9Nx5AkYjS+eJiIgSYzBPRPQWO/AfcOiwnG7eVO5NnCgzyJ5dQs/u8vV4JwjYuj2DM0RERJTJMJgnInpLxcQITJ0ul3Zmzw4M/oyBPGUu77cHvL3l9KLFAnFxLJ0nIiKyYDBPRPSWmr9I4PFjOf3pQAleXgzmKXNxdpbQr698XT55Cqxak8EZIiIiykQYzBMRvYUuXxFYt15OVygPvNMqY/ND5EjzpkCJEnJ62QqBsDCWzhMREQEM5omI3jomk8CkXwXMZkCjAUZ8IUGSWCpPmZNaLeHTAfL1GRcHLP6DwTwRERHAYJ6I6K2zbgNw5aqc/rALUKwoA3nK3KpXA6pWkdMbNwNBwQzoiYiIGMwTEb1FHj0SmL/w+ZjyH3VnIE+ZnyRJ+HSgfK2aTMDv8xnMExERMZgnInqLTJshEBsrp4cPleDiwmCesgZdKQktmsnp/QeAwHMM6ImI6O3GYJ6I6C1x+IjAvgNyunEjoGYNBvKUtfTrK8FJK6dnzxUQggE9ERG9vRjMExG9BRISno8p7+4OfD6IgTxlPXnzSuj4vpw+fwHYtz9j80NERJSRGMwTEb0FVv8NhIbK6Y/7SMidi8E8ZU09uknInl1O/z5fwGBg6TwREb2dGMwTEb3hHj0SWPqnHPAUKwq0fy9j80P0MrJlk9Crh/wy6m6I3Ls9ERHR24jBPBHRG27ufIG4eDn9+SAJGg1L5Slra98OyJ9fTi9eIhAdzdJ5IiJ6+zCYJyJ6g52/ILBzl5yuVxeoVpWBPGV9Wq2EAf3kazkiEvhrOYN5IiJ6+zCYJyJ6Q5nNAtNmyEGOVgsM+oSBPL05GjcE/Pzk9Oq/gQcPGdATEdHbhcE8EdEbavce4NJlOd3lA6BAAQbz9OaQJEl5QaXXA/MXMpgnIqK3C4N5IqI3kMEgsGCRHNx4eck9gBO9aSqUl1CvjpzeuQu4do0BPRERvT0YzBMRvYE2bQZC78vpXj0luLkxmKc30ycDJKhVgBDA7N8ZzBMR0duDwTwR0RsmNlZgybOh6PLnB95tk8EZInqFCheW0LatnA44ARw7zoCeiIjeDgzmiYjeMKv/BsLC5PTHfSRotSyVpzdbn48kuLrK6dlzBUwmBvRERPTmYzBPRPQGCQsXWL5SDmRKlgCaNs7gDBG9BjlzSuj2ofzS6sZNYMeuDM4QERHRa8BgnojoDfLXMoHYWDk9oL8ElYql8vR26NwJyJVLTi9YKBAfz9J5IiJ6szGYJyJ6Qzx+IrB+o5yuWAGoWT1j80P0Orm6SujXR3559eix3NyEiIjoTcZgnojoDbF8hYBeL6f79ZUgSSyVp7dLq5ZA8WJy+q/lAmFhLJ0nIqI3F4N5IqI3wJMnAhs2yenKleTxt4neNmq1hE8Gytd+bCyw+A8G80RE9ObSZHQGiIiyNLMJmqs7oL6xF+r75yDFPgWEgHDzgnD3hil/ZZiK1oGpSO1kN6N6eAmaixuhDj4OVVQooI+BcPGEcPWC2bs0TAWrw+jbCnByt7v+ilXPS+V79UwSyOtjoA45BfXd41CHnoUUcRdSXDhgNgBad5hzFIapYFUYynWCyFnMfgaFGZqzK6G9sAGqpzcAsxEie34YSzSGvnp/wMXT/npxYXBf3BpSfDiMReshvsO8ZI9DRpBiHj87f+ehenwVUuxj+fiY9IDWFWYPH5jzlIapRGMYSzUHVOo0f5fmwnq47PwmxcvHtZsNU/FGaf6+9CRF3IXmxr9QPbwA1eNrkOLCnl1HRkDrBnP2/DB7+8GoawFTsfr2N2IyQHN1J1QPzkP98CKk6AeQ4iIAfTSgcYZwywVzzuIwFa0LQ5n3AOdsqc5nzepAlcrAyVPAxs1AtyaXUejpRqhDTkEVHgToYwAJEM7ZIXIUgalQNRj8O0J4FrS7Pc3lrdCeXQnVo8uAMQHCwxumonWhrzEQIlte+5kw6uH253tQhd2GKbcOcd3XAir+5CIiovQlCSFS9No6zDLOEb1VvLy8eO7fUjz3L6Z6cAEu27+C6unNZJczexZGbN+d9mca4uG8dxw0FzdBQvKP49jOf8FcoIrN9LAwgY5dBBIS5LbyM6dZV7pyXfoe1I+vJr8zAIRKA32tz+DR8mvrcy/McNn0OTQ39tpdz+xZGLEfrgDcctrMc97+FbSXNkNoXBH70WYIzwIvzMfrprm8FS7bRqRoWVOe0ohvNxsiW760fVcmDua1R2bBJToE8R4FYKj1me384/PhfHBKirZlLFQT8W2nAS7ZraZLMY/g/ruDQD8J4ZID8W1+g6lwjRQtn9iVqwJ9+wt87jcFvUougkpK/t4SKi30DUbCUKmb1XSnf8bD6cxf9tdx9UJsl2UQXrYvwJwOTYPTsbkQkgpxnZfBnL9iqvfhdeMz/+3Fc//24rnP3Ly8vF64DKvZExGlgepuAFxX93xhIJ8sQzxc13wE7cWNLwzkk7NitRzIA3ZK5QFAmFO0HclshPOhaTAd/8NquubKdiWQN3sWQmzX1YjpuwfGInUBAKqIIDgfnm6zPfWdQ9Be2gwA0NcenCkD+dRSP7oMl21fZnQ2Mj1N8FE4/zv+pbYhxYfDZfMQIC71PzR9dRJGtdyMPqUWvjCQBwDJbIDTv+OhCjmpTFPdO6ME8sIlB+I6LkJMv39hKNteXicuDM7//my7rSfXoT2xEABgqPBhlgjkiYgoa2KdLyKi1IoLg8vW4ZAMscokoXWDoVIPmApWhTl7fkjxkVBFhUIdfAxS2B27m3H+dzzU9wOtphmLNYChbHu5yq9KCykqFKpHl6C5uR+QbN+/hocLrF8vp8v5y9WLHTHlLQ+jbyuY8leCcHKH6skNOB2dA/XjK1bLmf+dDJRso3yf+uY+ZZ6+Wl+Y85YDACQ0HAXNH21slgEg1zjY8738vd5+MFTu6Thjr4Hq0RVoLm2CcPWCodrHVvOEWgtTwWowFq0Lc24dhHseCK0bVDGPoLm6HdqzK62WV4echBQRki4vJxLqfwljqRYO5wu3XC/9HRZSeBA0lzZD0sdA3+Cr1G9A4wJj0XowFakNc84SEO65ITTOUEXeg+b8Wmiv7rBe/Op2JDT/H6B2SpwLmHLrYCpSF6b8FeRj7ZoDUnwU1MHH4HRsrtV9JSVEQHNzP4xl26U6u+8WWg88sJ6mrzEQRl0LwGyCNnA1tOdWJ8qZgPbCeiQ8q/2iSXRNG8p1gqlwLQBAQqPR8nE0G6EOOgIYEwCNs7ygEHDZPRaSyQCzhw/0dYamOt9EREQpxWCeiCiVnE4sgirmkfJZuHgitttaq+BOADCjotzO3Q7pyQ1ozq+1mpbQ8BsYKvewXjCPDqbiDWCoMdDudv5eJxAXL6d7f2S/B3tzvgpIaDrOpoq+KVdJxBWpDbel78nt9C2iH0F6egsiVwk5r7FPnu9X9kT76Fno+f7EPrXattPRWVBFBENIaiQ0+99LtTNPKynqPjSXt0BzabPSzEBfqYfNcqZSzRFXqrnt9JzFYCpUHUiIhvbyFuttxz5Ol2BeuHq92hoLcWHQXNkO7aXNUIeeAQAYSzRJ06YMlXvYXp8ATM/auKtWPoT63illumQyQIqPhHDPrUwT7rkR13OjzTYEAHO+8hAunnDZM9ZqnpToXksNF4P1eo89asClzhDlc0LTcVAHHYEqIvj5d0U/fJ5OdN2bE58jJ3f5BUTMY0hmI6T4CAgPbwCAJnCVcgwSGo8BnD3SlHciIqKUYDBPRJQaZhO059ZYTUqo+4UckJkMkOLCIDTOgHN2IJmh4bSBq6yq1pvyV3oeKMWFQTIbIVxyAGqtw23ExQms2yCnS/sC1araXy6h+Y+O98c5G4zFG8Lp7AqryZI+Rsld4tJhKTLEblokai+venQF2pNLAACGSt1g9inr+PvTW0I0NNd2yQH83eOQUtjEIFl2upYxJ3qR8TKcjv0Op/9+hRQf8awTuQIwFaoOQ4XOdttip4gxAZob/8jH4PZBSGZDuuT1hZIca6F1S5eaBeYcaTvW5uwFrJrB3LrrjJIGAa322X0pSUlqDQAie/7n6UR5V0U8v9ahj5E7/oPcz4R41vmjFP1Q6VPAWKIJTCWbpinfREREKcVgnogoFVSPLsuBV2JaN7is6y9XqTfJXcoLlxwwFm8AffUBdnuIVwcfs/ps8vGH078/QXNlO1Sxj+VtqLQw5ysPQ8Vudkv4t24HIiPldNcP0z6uvL32+olLi00lGikl004BC2H2Lgvh6gXn/ROeL1O84bMVzXDe/R0ksxHmbPmgr/15mvKUKiYD1LcPQnNpEzQ3/oVkSrBdJFcJGHWtYCzTLtlNSZagzRgPVcxDaK7uhPbKVqtlDL6t7Xb2lxaq8ERNMBIioX4UCfWjS9CeWQZ9nSE2TQIcEmaog49Dc2kzNNd2QdJH2yxizl4ARl1LGNJQZd16Q0ZIUXL9dckQAykyFJqLG5SSfwtDxW7JvtCSYh4BRj1gll+Cqe8GwOnY7zZ5TmsHgIaK3aC5/Z/yuVL2QziyfD0qdWkOmI3QBq6SR2Z4RkgqGMp1Uj4bSzSC03E5P9pza+TmBV7F4HRkBiSzEQDkqvfPqtg7/zseUkIUhJM7Ehp/m6Y8ExERpQaDeSKiVFDZ6RXeeftXNgGxFB8O7cWN0FzdifiWv8CkS1SN22yC6sl1q+W1p/+y3YbZAHXISahDTsJwfS8SWv2iVFc3GgVWrpKXz58faFAvjTukj4H62h7r7y1e16pU0qhrCePlbdDc2AtVRDDclneyWt7sWRgJz4J27ellSj8ACU2+dTiUXnpQ3TsNzaXN0F7ZDik+3Ga+2bMwjL6tYPRtDXMeXYq26b7QcWmqkNQwlnn3tQRqktkI5/9+hdC6wVixq8PlLH0BaC5vhSr6gc18s7s3jLoW8jFIp47YpKgHyR8ntRMMlbpDXyf5FzkuW4dDfTfA4XxT/kqIbzXxeXv0VDIVb4D4Zv+D876fIBnioFGZUO/JaGDWaNs8O7kjvvmPVrVIzPkqQF+xO5zO/AUpPhyuf/e2XsfVCwmNvgYAqG/8C821XQAAfZ1hENl80pRnIiKi1GAwT0SUCpbqtVbTkumJXjLGw2X7CMR5/f08oEyItKn+/aLe7LVXtkJ4FoC+7jAAwL/7gfvPYrcPO0tQq9NQKm82wWXH10pNAECuDaBuliTYkVSIbzsN2sCV0FzYIFddNhsgsuWHsUQT6GvI48xLUffhdHgaAMCgaymXqCZEwSlgATTXdsvV8tVOMOfxdVjb4IUM8XAKmA/NpS1QRQTZ7lK2fM+D12cd9aUXQ8WuMFTvB2hdX2o7ZtecMJVsClPhmjDnLA5IEqSnt+AUsADqB+etlnU+9BuMpd8BnlXlttAGLLDqCyAx4eoFY6nmMPq2hqlgVbsdJ74qQqWBvsZAuVT+JcZVNxapDX2DkQ7Hfk/xdsp1hMhRGNL64XAxPra7jCm3L+LfnQ6Ro7DNPH3j0TDnqwBtoGWceT2ERx6YitZ7Ps68PgbO//xP3lbe8jBU/BAw6qE99Yf8kiX8DiCpYM5ZHAb/92Es3znZGgtEREQpxWCeiCg1nlWjTyqhzhAYyn0AANCeWw3nQ9OUeZLJAO2xOUhoM1X5bHfTBaogoclYmD0LQB16Fs47vrYqbdWeXAJ91T4QztmxfIUc/OfIAbRumYb9MMTBZdsIaG78o0wSkgoJLX6CU8FKQNJxZ1VqGCp2k4M0B5z/+Z/c1t45G/SNvgHiI+C2sqv18H0mvVLbQP/wIvT1hqcq21LsEzgdnW01zeyWWw5eS7eGOX/lVxYoOZ3+E9qLGxD/zlSYitZJ0zaMxRrIwXmSttrIrUNcyaZwXdXdqrq6lBAFza3/YPRrY7W483+/Wn0WztlhLNlEDuAL13ypQPplSGYjnA9PhzZwFeLfm5Xm/hI0dw5DvbQd9HWHyS9Q0sIQD+fd30F7eXOyi6kfX4HbkjbQ1x5s97uMfm1sjn9iToemQRUVCqHSyJ09moxwXdsH6kTD3AGA+sF5qB+ch+FuABJaT2ZAT0REL43jzBMRpYaTbe/UpgJV5d7m3XICbjlhqDEQpiQ9x2vuHFLSwkHV8/iWE2DOXQrQusFUuBb0tQdbzZdMeqjvBuDESeDas1r6HTtIcHZOXVAgxT6B6+qPrAN5lQYJLSckG7QkR311l7K9hHrDIdzzwPngVCWQNxWshpg+uxDXfh6E1g0A4BSwAKp7Z9L0fYnzbSrVNN0C+egvLsn/PjuO2J6bkFBrkJJfQA6uXbYMTdPY5wDkayRpIG+hUkNvJ5hUPbqU7CYFJPklge87ryWQF54Fnh+nT48ittvf0FfpBZHoe1XRD+Tj5ODlFwDEfbBU3sbg04jpuwfxTb+36lhQgoDzwSlQJ7p3UsP5wC9WgbxJ5YypF4aj876/MUO/Gvoan0A8q7UgmQ1wPjgF2tPLUvUdqvvnoD0jr2Oo0hvmPDpoT/2hBPKmXCUQ23MTYj9cCbN7HgCA9so2aK5sS9M+ERERJcZgnogoFcx22sKa8vrbTvOxniYlRAGGZ2PIOblDOGezmi9cPG2qFJt9bLcrxTzC8pVyqbyLC9D+vVRlH9LTW3Bd8SHUD849/26tG+LbzYHRr23qNmaREA3nf8cDAEz5K8NY7gNAmKG5sv35IvVGQOQoBFOxelbfk9qgRji5wfRsyDxALgnWnl0Jt1Xd4Ta/MZz2/wLV/XPJbCGFnLPBnLsUDLU+Q0KT76xmSfpoaC9tcbDiyxF2esmXEqJsppl8njchkCCgvbwZrus+hvvv9eG8ZxzUwcdtepd/JVw8YfYpC32DkdDX/MRqliriLtS3D754G1oXCM8CMJb/AHEdF0FI1sMYas+uTH2+EqKhCbQedcJYsz9u5u2DK5F+WLSzLC54D4axbHvr7zpu3QFfssxGubNHYYbZszD0NT8FAGgSDWNoqPkZzLlLwZyvAgyJhkVkME9EROmBwTwRUSqYfey0wzabXjhNqDRWHXklDfbtBl7PesxO7FGkGwJOyOl3WgGenikviVaFnITbyg+txtU2e/ggrvNfMBWtm+LtJOX832SoYh5CqLWIb/a93AY89imkhMjn35O7ZKJ0qed5Crudui9z9ULcR1vk0uDKHymlnQCgir4Pp5NL4Lb8A7gtbA6ng1Plds4vyeztZzNNSm2+U0iKuGszTSRpLw8Acd1WI6b3NuhrDLQuzY4LgzZwFVzXfAS3eQ3h9O9PUN07bXd4vfRm7zil9vwKz4JAkhddaTnWqvA7kIT1PWj2LoNPBkhQq+TDMWuugCmPdZ5VMY8AO/1i2KM9sRjqZ9dXQtOxgNZF3kbY8xEKzLkcXfeJRjEgIiJKI7aZJyJKBZHNByafclYl20nbxgKA+p71NHNunVUVcGPJptAEHVE+SwlRUD26AnMe30TbPWWz3W0nn89/v4ME19U9rXoEN5Rph4SWP9usp7myHc47RilD5wHPOv5qP1fuxCuNVPdOQxO4Wv7uqh9DWIKXpNXdEweTidNprBZv9ikLvU9Z6Ot/CXXQUblH9+t7IBli5XxFBMPp+Dw4HZ8Hc87iMOpawVC6NUTO4tYb0sdAin5gOz0R9c19thOfBW6JuS1oAlXkveebrvkZ9LUHKZ+lyHtwOjQN+jpDrMYzf75TJjgFzLeZbHLQ7lx4FYO+zhDo6wyBKuQUtJc2QXN1p9KzvyrmEZxO/wmn038+6xiwldwcIQ3t2KWYx886PczncBnNjX22edRYHyfV/fMw26nJosy/d9p2ZAKNbYeDzju+hvbiBuWzqWA1xH2wNNGGbH/eqB5eQuGaDdG2rcCGjcCJk8CTypdRwGZBtc26SUkRd5W+Gwx+78JUpHaimYmvafvXvWBzeSIiSgcM5omIUslQ5SOot41QPqsfXoTz7u+edYAnoD23BuqH1u2cjWXetf7s9y7MR2ZBFfdUmea8bTj09b6EyJ4fqtCzcDoy0/p7c5XGkpVyj/jVqwGFC0nAEbyQ9uQSOO2faNVjvilPaSS0/AUwm56Prf6MQBSgV714WDmTQa5mDAGzV1Hoawx8vg3XnBDOnpASIgDIQ/qZ81d6lr6mLGf2KvbiHUiOSg1T0TowFa2DBEMcNNf3QnNpE9RBR5SxwFVPb8Lp6Cw4HZ1lG2DHhcNtSRuYC1SGsXhDmH38YfbwhmQ2QYp+AM3VndCcX2u76wWrpz6vQsgB95VtMBVvCGOJJvIIByrNs97sF1q9JALkzv1Mxeq/cNPmApWRUKAyEhqNhvrWAWgvbYb65j5IpgT5GESFwunkIjidXOTwhU9yVE9vwmVtX5gK1YSpWH2YvP0g3HNBMuohRYbIwzA+G5otMVMh6+PksmUIoHaGsWRTmPJXgvAsAKHWQop5Ak3QEWhP/2VnG9VSlVdAvq6EkzskfYwyzen4PEDrigFta+DWERNq5tiHvPfXAYkCa3OOIjY1A+xx3jMOkjEewiUHEhqOsvlu9bN+DlSPr8kv8gConjy/7sXLXvdERERgME9ElGrG0u/AeHUnNNd3K9O059ZAe26N3eVNPv4wVPjQeqKzBxKafQ+XTZ8rQbb6yQ24bhhoZwvy2N27nb5DXJz8uUP7lBftaU//aTP0nfrRZbj9ab/BvRGApsVPNu2JbbYbsADqJ3JPfAlNvwc0iTp2kyQYSr8Dp7PLAci9r8c3/R6q8CCrNsXG0mnrcM9+hlyVnsel2CfQXN4mB/aJh3tLVPVfySqE0sN+ShgL1YSpWL00Z1MyG6G5vgea63uSXU5IKrm9fqIO+F5IrYWpZBOYSjYBEqLklxGXNkMdckIZDtFeG/wU5/vOQWjupKAdPABD2fbPa2okogq7ZbcGgj1mt9wwVO2TqnwCADROMFTqCadjc5RJkjEezvt/QT4Af9S0v5q+Wt8Xb/riJqVDy4QGIwFXL6v5Rr82SjDvdHQ2zDmLAfpYaE//qSxjSM/rnoiI3loM5omI0iC+9WQ47/wG2itbk13OWLgm4lv/arcHc1PJpkhoPUku3X5WPdwes2tOxLf6BfPGVgAA5PUBatV4ufy/LCnsNpyOyZ2FGcp2sCmBBQB9nSFQ3z0G9ZMbUIechPsf1gGMvsaAZKtcvwzhlguGyj1gqNwDUtgtaC9uguZy8ufqhduEBKNvayQ0+z5tY7ertRBqJ6umDg6/y8UT8U1/gKlUszTk9BnnbDCW6whjuY6Qou5Dc2mz1YuUV0WoNDBU+BD6+l++1HZMPv6Ibz0Jwi1XmtbX1/oMUtxTaANXvXBZodJAX2MgjOU6Jb9gXDic9v8CQH6pYyzbzmYRQ6XuUN/cD83d41A9vQm3v963nl+6LUy6FineDyIiIkcYzBMRpYXGCQnvTIax/AfQXFgHdchJuV2xEBDuuWDKWx5Gv3dhKt4w2XbhxtLvwFSoOrRnlkF9+yBU4XcBQ4zcm3rOEjAWbwhDuY44eTE7bt+RS9fbt5OgVmdso1vnPeMgmRJgds2JBEdBm0t2xHVZCaeA+dBc2wUpMgRQO8GcpzT0lbrDpGv5WvKauG05Yp9az8vmg7gOC6AOOQlV6Gmoou5DigsDEqIBtROEiyfMXkVhzl8RRl0ruVp8WvPh4Y2YgQehubkP6uDjUD26DFVkiPxdkiR/V25fmIrVhaFMO8BOx3dp/u5seWGo3g+G6v0gxT5J9fqmvOUQ994suQZDaCCk6Idy23Z9DKBxhnD1gtmrGEwFq8Lo2xoih22v/AAQ33Y61MHH5fsl/A6kuHBI8RHy/jt5QHgWhMmnLEwlmsBUtM7L7bRKjYSm42Ao1wmaixuhDj0LVXiQnGcJSEA2XH5UGCefVIVL9fZ4r5bjfhMsnA9MhCruKYTaWe70zh61E+Lfnw/tyT+gubxF7uxOkmDOVRIG//dhLN/55faLiIjoGUmIlHVxGxaWxjF1KUvz8vLiuX9L8dxnLt98a8aB/wAnJ2D9GilVvdinFs/920l7ZBZcokMQ71EAhlqfZXR2XjmTSaD3xwI3bwFubsCqZRK8vN7enul437+9eO7fXjz3mZuXl9cLl+HQdEREmdz9BwIH5Sa6aNo4dcPREZF9arWETwbK91JsLLD4j1c/fB8REVF6YjBPRJTJbdwsYH42DH1qOr4jouTVrA5UqSynN24GgoIZ0BMRUdbBYJ6IKBPT6wU2P+uzrIwfUNqXwTxRepEkCZ8+K503mYC58xjMExFR1sFgnogoE/t3HxAeLqffZ6k8Ubrz1Ulo8WzQgAP/ARcuMqAnIqKsgcE8EVEmtna9HFjkyAE0apiROSF6c/XrK0HzbHyfeQsYzBMRUdbAYJ6IKJO6fFng4iU53bYN4OTEknmiVyFvXgnvtZXTJ08Bp04zoCciosyPwTwRUSa1boMcUKhUQLt3GcgTvUo9u0twdpbT8xYIpHDkXiIiogzDYJ6IKBMKDxfYs1dO160D+HgzmCd6lXLlkvB+Bzl9/gJw5GjG5oeIiOhFGMwTEWVCW7cDeoOcZsd3RK9Hty4S3N3l9PyFAmYzS+eJiCjzYjBPRJTJmEwC659VsS9aBKhcKYMzRPSW8PSU0OUD+eXZtevAv/szOENERETJYDBPRJTJHDkK3H8gp9u3kyBJLJknel0+6Ah4ZpfTCxcJGI0snSciosyJwTwRUSZj6fjOzQ1o1SKDM0P0lnF3l9Ctq/wCLSgY2LU7gzNERETkAIN5IqJMJChI4HiAnG7ZHHBzY6k80ev2fnsgd245vWiJgF7P0nkiIsp8GMwTEWUi6zY+Dxo6sOM7ogzh7Czhox7y/Xf/AbB5awZniIiIyA4G80REmURsrMD2HXK6SmWgaBEG80QZpU1rIF9eOb30T4H4eJbOExFR5sJgnogok9i1G4iJkdMslSfKWFqthD695fvwyVNg3YaMzQ8REVFSDOaJiDIBIYTS8Z23N1CnVgZniIjQvKk8PCQA/LVcICaGpfNERJR5MJgnIsoEzpwFbt6S0+3elaDRsGSeKKOp1RL6Piudj4wE1q7P4AwRERElwmCeiCgTWLteLvHTaoG272RwZohI0aA+UKK4nF65mqXzRESUeTCYJyLKYI8eCfz3n5xu3Ajw8mKpPFFmoVJJ6P0RS+eJiCjzYTBPRJTBNm4WMJnldId2DOSJMpv69Vg6T0REmQ+DeSKiDGQwCGzaLKdL+wJl/DI2P0Rki6XzRESUGTGYJyLKQPsOAE/D5HSHdhIkiSXzRJkRS+eJiCizYTBPRJSB1j3r+M4zO9CkcQZnhogcYuk8ERFlNgzmiYgyyNVrAufOy+k27wDOziyVJ8rMWDpPRESZCYN5IqIMYimVlyR5bHkiytxYOk9ERJkJg3kiogwQGSmwe6+crlMbyJePwTxRVsDSeSIiyiwYzBMRZYDNW4GEBDn9fnsG8kRZhUoloVdPls4TEVHGYzBPRPSamUwC6zfIpXlFCgNVq2RwhogoVRrUB4oXk9MsnScioozCYJ6I6DU7dBi4/0BOd2jP4eiIshq2nSciosyAwTwR0Wu29lnHd+7uQKsWGZwZIkqTpKXzsbEsnScioteLwTwR0Wt085bAyVNyunVLwM2NpfJEWRFL54mIKKMxmCcieo0sw9EBchV7Isq6EpfOr1jF0nkiInq9GMwTEb0mUVECO3bJ6Zo1gEIFGcwTZWUsnScioozEYJ6I6DXZuh2Ij5fTHTswkCd6E7B0noiIMgqDeSKi18BkElj3bDi6ggWB6tUyOENElC5YOk9ERBmFwTwR0Wtw9Bhw756cfr+9BJWKJfNEbwqWzhMRUUZgME9E9BpYhqNzdZV7sSeiN4dKJaEXS+eJiOg1YzBPRPSK3bkjcDxATrduCbi7s1Se6E3TsD5QrKicZuk8ERG9DgzmiYhesVV/P/9R/z6HoyN6I6lUEnr3Yuk8ERG9PgzmiYheobBwgR075XTtmkDhwgzmid5UiUvnV7J0noiIXjEG80REr9D6DYBeL6e7dGYgT/QmS1w6H8HSeSIiesUYzBMRvSIJCQLrnnV8p9MBlf7f3n2HR1Etbhx/TzoJCSQU6Z3QBS9KUX9SVcByVSwogiCiIAgCgmKXCyJY6FURBXsDFQso6AULSJMiIFwE6RAgISSQfn5/DAmJtCRsstnd7+d58uTMzuzkLIezO++emTNN3FsfAAWP0XkAQGEhzANAAfl2kRR3zCl3udPIGEbmAW/H6DwAoLAQ5gGgAGRkWH3wkTMiV7as1La1e+sDoPAwOg8AKAyEeQAoAL8sl3bvdsp3dDYKCGBUHvAVjM4DAAoDYR4ACsAHHzojcaGh0k03uLkyAAodo/MAgIJGmAcAF1u33ur3dU755hul4sUZlQd8jZ+fUY/7GJ0HABQcwjwAuNg77zkjcIGBzsR3AHxTm1ZStWpOmdF5AICrEeYBwIW2brP6dblT7tRBKl2aMA/4Kj8/o57ZRuc/m+/e+gAAvAthHgBcaO67zsibv5/U9R6CPODrso/Ov/8Bo/MAANchzAOAi/z9t9WP/3XK7dtLFcoT5gFf98/Rea6dBwC4CmEeAFzk3fet7KlBt3sZlQdwSptWp2e2f/9Dq4QERucBABePMA8ALnDggNXC75xyq2uk6tUI8wAcfn5GvXo67wnx8dIHHxHmAQAXjzAPAC7w9lyr9HSn3I1ReQD/0OoaqU60U/7wIyk2lkAPALg4hHkAuEh79lh9/Y1TvrKlVLcuYR5ATsYYPdTbeW84mXT6FpYAAOQXYR4ALtLsOVbpGU75gfsJ8gDO7orLpSaNnfK8+dLBQwR6AED+EeYB4CLs/Nvqu++dcutrpOjahHkAZ5d9dD4lVXrrbcI8ACD/CPMAcBHefMsqI0MyRrq/J0EewPk1amh0ZUun/PU30q7dBHoAQP4Q5gEgn/633WrJD065fTupRnXCPIAL693Lea9Iz5BmvUmYBwDkD2EeAPLpjVMH4X5+Us/7CPIAcqd2LaP27Zzy4h+kbdsI9ACAvCPMA0A+rFtv9dPPTrnDdVKVyoR5ALnXq6eR/6mjsJmzCPMAgLwjzANAHmVkWE2e6hx8BwVJvZjBHkAeVa5k1KmTU/51ubRmLYEeAJA3hHkAyKPFP0ibtzjlu+6ULilLmAeQd/ffZxQc7JQnT7PKyCDQAwByjzAPAHmQnGw1Y6ZzwF2ypHTv3QR5APlTpozR3Xc55a1bpUXfu7c+AADPQpgHgDz4dJ504KBT7tXTKCyMMA8g/+7pYlQqyinPfN0qKYnReQBA7hDmASCX4uKs5sx1DrSrVpFuusHNFQLg8UJDjR44Ne/GoRjpo0/cXCEAgMcgzANALr3xplVColPu28coIIBReQAXr1NHqUZ1pzz3XaujRxmdBwBcGGEeAHJhy59Wn3/plJv+S7qqpXvrA8B7+Psb9evrfDl48qQ0azZhHgBwYYR5ALiAjAyr18ZbWSv5+0uDBhoZw6g8ANdp3syo2RVO+cuvpB07CfQAgPMjzAPABXz9rbRps1O+6w6pWlWCPADX69fXyM9PysiQpk4nzAMAzo8wDwDnEX/cavoM56C6dGmpR3eCPICCUbOGUacOTvnX5dJvKwn0AIBzI8wDwHm8Mcsq7phT7t/XKDSUMA+g4DzQy6hYiFOeMMkqLY1ADwA4O8I8AJzDps1W8z53yk0aS+3aurc+ALxf6VJG9506A+jvXdInn7m5QgCAIoswDwBnkZZmNeYVZ9K7gABpyCAmvQNQOO68XapUySm/+ZbVkSOMzgMAzkSYB4CzeP9Daft2p9ytq1S9GkEeQOEICjIa2N95zzlxQprxOmEeAHAmwjwA/MOePVaz33YOnqtUlrp1JcgDKFwtWxhd2dIpf/2ttPEPAj0AICfCPABkY63Vy69ZpaQ4y48PNQoKIswDKHwD+hkFBjrl8ROtMjII9ACA0wjzAJDNV99Iq9c45ZtvkhpfSpAH4B6VKhl1udMpb/lT+vob99YHAFC0EOYB4JT9+60mTnZGvkpFSX0fJMgDcK9uXY3KlHbK01+3On6c0XkAgIMwDwCSMjKsRr1kdeKEs/z4UKPwcMI8APcKDTXq19d5L4qLk2bNJswDAByEeQCQ9PGn0u/rnPJNN0pXtiTIAyga2rWVmjR2yp/Nl7b9j0APACDMA4D+2mE1Y6ZzcFyhgvTIwwR5AEWHMUaDBxr5+0kZGdJr462sJdADgK8jzAPwaampViNftEpJlYyRnnrCKDSUMA+gaKlRw+j2zk55w0bp20XurQ8AwP0I8wB82ttzrbZuc8p3d2H2egBF1/09jEpFOeWp05kMDwB8HWEegM/6Y5PV3Heccs0a0gM9CfIAiq6wMKN+py4Dio1lMjwA8HWEeQA+KSnJauRoq/QMKSBAevpJo6AgwjyAou3adv+YDG8bgR4AfBVhHoBPmjbDavdup9yrp1HtWgR5AEXfGZPhTbDKyCDQA4AvIswD8DkrV1l9Os8pN2oo3dPFvfUBgLyoUcPo9tud8oaN0kImwwMAn0SYB+BT4o9bvfiSM4oVEuLMXu/vz6g8AM9y/31GpUo55SlMhgcAPokwD8CnTJhoFXPYKffva1SpEkEegOcJCzPq19d5/4qLYzI8APBFhHkAPuOHH60WfueUmzeT/n2ze+sDABeDyfAAwLcR5gH4hMNHrF55zTnQDQ+Xhg8zMoZReQCeyxijwY8yGR4A+CrCPACvZ63V2JetjsU7y48NMipdmiAPwPPVqG50R7bJ8L5d6N76AAAKD2EegNdb8JX0y3Kn3K6t1K4tQR6A97i/x+nJ8KbOYDI8APAVhHkAXm3vPquJU5wD29KlpSGPEuQBeJfQUKP+D5+eDO+NNwnzAOALCPMAvFZ6utWo0VYnTzrLw4cZRUQQ5gF4n/ZtpcuaOOV5n0tbmQwPALweYR6A1/rwY2n9Bqd8y7+l5s0I8gC8kzFGgwYa+fufmgxvPJPhAYC3I8wD8Erb/7J6fZZzIFuxgtSvD0EegHerUd3ojs5OeeMfTIYHAN4uwN0VAABXS0mx+s8oq9RUyc9PeuYpo2LFCPNFwfr16/XJJ59o3bp1Onr0qEJDQ1W9enV16NBBN998s/z88vYd85gxYzRv3jxJUrly5TR//vyzbnfkyBFNnz5dP//8s+Lj41W+fHl17NhR3bt3V0DA2T8Kk5KSdO+99yohIUEffvihSpQokae6ZdeiRQtJUq9evdS7d+/zbjtixAh9/fXXZ309+/bt02233XbGc4KCghQWFqYSJUqoVq1aql+/vtq3b6+yZcue92/17dtXa9eu1WWXXaY3ujfM24tCkXR/D6Pvl1gdPuxMhnf11VJEOO9/AOCNGJkH4HVmv231v+1Oues9UsMGHMgWBTNmzNCDDz6oRYsW6eDBgwoJCdGJEyf0+++/66WXXlK/fv10MnOCg1xYvXr1OcN7dvHx8XrwwQf15Zdf6ujRowoMDNTu3bs1c+ZMPfvss+d83qxZs7Rnzx4NHDjwooJ8QQkLC1NUVJSioqIUGhqq48ePa+fOnfr+++81ceJE3XrrrXr22WcVFxfn7qqiEIWGGvXvm20yvFmcag8A3oowD8CrbNho9e77TrlWTen++wjyRcHnn3+u2bNnS5KuvfZaffHFF/ruu++0ZMkSPf/88woNDdXatWs1cuTIXO0vKSlJo0ePlr+/v+rVq3febT/44APt3btXtWvX1vz58/XDDz9oypQpCg0N1ZIlS7R69eoznrNt2za99957atasmTp27Jj3F1wIBg0apK+//lpff/21vv32W/30009asGCBRo8erZYtWyo9PV2LFi1St27dtG/fPndXF4WoXVvpX5c55flfMBkeAHgrwjwAr3HihNXIF60yMqTAQOf0+sBAwry7paena+bMmZKkOnXqaMSIEVmnfwcGBqpDhw4aPHiwJGnx4sX6/fffL7jP6dOna8+ePbr33ntVvXr1827722+/SZL69OmjcuXKSZKaNm2qm2++Ocf6TBkZGRo9erQCAgL0+OOP5/6FFgGlS5dWmzZtNG7cOI0cOVIBAQGKiYnRkCFDlJaW5u7qoZAwGR4A+AbCPACvMXWG1d5TA5C9exnVrEGQLwq2bNmiI0eOSJK6du0qY85slxtuuEFRUVGSpK+++uq8+9u4caM++ugjValSRT179rzg3888zbxixYo5Hq9cubIkKTY2NsfjH3/8sTZt2qRevXqd8RxP0r59e/Xt21eStGPHDn399ddurhEKU/VqRnfe7pQ3/iF9w2R4AOB1CPMAvMLyFVbzP3fKjS+V7rrDvfXBafv3788qV6tW7azbGGNUtWpVSdLy5cvPua+UlBSNHDlS1lo9/vjjCg4OvuDfz7zefe/evTke37NnjySpZMmSWY8dPHhQM2bMUK1atXTPPfdccN9F3e233571+gjzvqfnfUalSzvladOt4o8zOg8A3oQwD8DjxcdbjR7rHKQWKyY9+YSRvz+j8kVRRkbGOdelp6dLkmJiYhQfH3/WbWbNmqWdO3fqpptuUtOmTXP1N5s1aybJmYDv4MGDkqS1a9fq888/z7FeksaOHaukpCQNHz78nLPce5Lg4GBdfvnlkqQ//vhDycnJbq4RClNoqNEjD5+aDO+Ysm7XCQDwDp5/pALA57063urUWdwa0M+oYgWCfFFSvnz5rPL27dtVt27dM7ZJS0vTrl27spYPHz6siIiIHNv8+eefeueddxQVFaX+/fvn+u936dJF33zzjbZu3ap///vfKlasWNas+a1atcoKu999951+/vln3XHHHWrQoEGeXmNuvffee1m30juXxMREl/7NWrVq6fvvv1dqaqoOHTqUdXkBfEPbNtIXC6TVa6TPv5Bu7GRVJ5r3SADwBozMA/Bo3y+2WrzEKV/ZQrrxBvfWB2eqW7du1vXwc+fOPetEbPPnz89xC7V/Btq0tDSNGjVK6enpGjx48BlB/3xKlCih119/XZ06dVJkZKRSU1NVqVIlPfDAAxo1apQk6fjx4xo/frzKli2rPn36SJLWr1+vfv36qXXr1mrXrp2GDBmiHTt25PXl53Dy5EkdPXr0vD+uHj3P/m91rjMe4L2MMXp0AJPhAYA3YmQegMeKibF6dbxzUFoiQnp8qDnr5GpwL39/f/Xu3VtjxozRzp07NWTIEPXt21c1a9ZUfHy8Fi1apGnTpikgICAr6P+zHefMmaOtW7fqqquuUvv27fNchzJlypz3nvITJ07UkSNHNHbsWIWFhWndunXq37+/rLVq06aNkpOTtXTpUm3YsEGzZ8/O98R4vXr1Uu/evc+7zYgRI1x6fbu1BDdfV72a0V13WL33gfTHJunrb6UbO7m7VgCAi0WYB+CRrLUa84rV8ePO8mODjUqVIsgXVbfeeqv279+vOXPmaMWKFVqxYkWO9VFRUbr99tuzbmGXfTR5x44dmj17tkJDQzVs2DCX123t2rVasGCBWrdurWuuuUaSNGHCBKWmpuqFF17Q9ddfL0l68803NXPmTE2bNk0jR450eT0KyvHMTqLTkwHC9/TobvTd91Yxh6XpM6yuuVqKiOA9EwA8GafZA/BIC76Slp/Kg9e1l9q05qC0qHv44Yf1xhtv6KabblLNmjV1ySWXqG7durrvvvv03nvvKSgoSJIUFBSUdT94SXr55ZeVmpqqHj16KDw8XCdOnMjxkzlxnqSsx3J7T/WUlBS99NJLCg0N1ZAhQyRJR44c0aZNmxQZGalrr702a9u77rpLxhj98ssv553Ir6jZtm2bJOfftUyZMm6uDdwlNNSof/bJ8N7kjA0A8HSMzAPwOPv3W02c4hyIli4tPTqQIO8pGjZsqIYNG5513dq1ayU519hnBntJ2rdvnyRp6tSpmjp16jn3feDAAbVt21aS9Oijj6pLly4XrM/s2bP1999/a+jQoVlBN/NWeuXLl5ef3+nvvMPCwlSyZEnFxsYqNjZWpUqVuuD+3S05OVmrV6+WJDVo0CBXt/KD98o+Gd78z6UbOlrVrcP7JwB4KkbmAXiUjAznNnSnJiPX40ONIsI5GPV0Bw8ezLq/fKdOhXMx719//aV33nlHjRo10m233XbG+pSUlDMe87Rbu33yySdZEwvecAOzQ/o6Y4wGDXQmw7OWyfAAwNMxMg/Ao8ybL61xBnB10w1Sy+YEeU+Xlpam0aNHKz09XZUqVVKHDh1yrJ8/f/55n585YVy5cuUuuG0ma61Gjx4ta62GDx+eY8K9zFvp7d69WwkJCSpevLgk59r9EydOKDQ0VJGRkbl/gW6yePFiTZs2TZJUs2bNM/5d4ZuqVT09Gd6mzdLCRVJH/msAgEdiZB6Ax9izx2raTGcU6ZJLlHX9J4q+vXv3avr06dqyZUvW6HZ6errWrl2rfv36afny5QoODtazzz6rkJCQAq/Pp59+qg0bNujee+9VjRo1cqwrVaqU6tevr+TkZI0bN05JSUlKSEjQuHHjJElXXnlljtPvi5IjR47ohx9+0ODBg/XUU08pLS1NZcqU0SuvvKKAAL6/h6NHd6PMq0Smz7Q6cYLReQDwRHyyA/AI6elWo16ySkpylp983CgsjDDvKRITE/XWW2/prbfekuTMVp+YmJg1eV1UVJT+85//6NJLLy3wusTExGjatGmqXLmyevbsedZtBgwYoEceeURfffWVFi5cKGut0tPTFRERkXUfencbN25c1hwC1lolJCQoNTU1a72/v7+uvfZaDRo0iFnskUNoqFGfB6VRo62OHJXenmv15BPurhUAIK8I8wA8wocfSxs2OuXOt0pN/0WQ9yTly5dXr169tGbNGu3Zs0dxcXEKCwtTlSpV9H//93/q3Llz1unsBe2VV15RYmKixo4de84J4Zo0aaLJkydrxowZ2rRpk/z8/HTZZZepf//+qlSpUqHU80ISExOVmJgoSQoMDMyaoK9WrVpq0KCB2rdvz+z1OKfrr3UuW9q0WfroE6nrPemKCHd3rQAAeWGstbk6tyo2Nrag64IiKDIykrb3UUWp7XfstOrV2yolVapUUZr9hlGxYoT5glKU2h6FJ/DXKQpJ2Kuk4hWV2rKfu6uDQvDHJquHHnYOA1u3CtTIF9Iv8Ax4I97zfRdtX7TlZn6eonnRHwCckpZm9eJLTpA3RnryCYI8ALhCg/pGHa93yj/+N1UrfuPaeQDwJIR5AEXaex9Im7c45S53Spc2IsgDgKs89KBRsWJOeeJkq7Q0Aj0AeArCPIAia+ffVrPfdg4sq1WVHrifIA8ArlS6lFGP7s5769+7pM/mublCAIBcI8wDKJIyMqzGvGyVeur0+ieGGQUHE+YBwNXu6CxVqeIcEr75llVsHKPzAOAJCPMAiqT5X2Sbvf42qWEDgjwAFISgIKNhQ8IkSQmJ0sw3CPMA4AkI8wCKnIOHrKbNcA4my10iPdiLIA8ABal1q0A1u8IpL/hK+nMrgR4AijrCPIAixVqrV1+zOnnSWR46xCg0lDAPAAXJGKOB/Y38/SVrpfETrXJ592IAgJsQ5gEUKd8vkX5Z7pSvv05q3owgDwCFoWpVo9tvc8obNkqLl7i3PgCA8yPMAygy4uKsJkx0RoJKlpAeeZggDwCFqUd3o5IlnfLU6VYnTzI6DwBFFWEeQJExaapV3DGnPHCAUcmShHkAKEzh4UYPPuC89x6Kkd59nzAPAEUVYR5AkbB8hdXCRU75yhZS+7burQ8A+KobOkrRtZ3yex9I+/cT6AGgKCLMA3C7EyesXn7NOVgsVkwaMtjIGEblAcAd/P2NBj7ivAenpEhTphHmAaAoIswDcLuZs6wOHnTKfR40uqQsQR4A3KnxpUbtTp0h9eNSac1aAj0AFDWEeQButfEPq08/c8qNGkq3/tu99QEAOB7uYxQc7JQnTLJKSyPQA0BRQpgH4DapqVYvvWxlrRQYKD0x1MjPj1F5ACgKLilr1K2r8568/S/piwVurhAAIAfCPAC3mfuutHOnU76vm1HVqgR5AChK7r5LKl/OKb/xptWxY4zOA0BRQZgH4BZ/7bCa845zUFizhtT1bjdXCABwhuBgo359nS9a4+Ol6a8T5gGgqCDMAyh06elWY162SkuT/Pykx4caBQYyKg8ARVGra6TLmzrlLxdI69YT6AGgKCDMAyh0n82X/tjklO/oLNWvR5AHgKLKGKPHBhkFBTrLL79mlZpKoAcAdyPMAyhUBw5YzTx1mmb58tID9xPkAaCoq1TJ6L7uzvv1zp3S+x+6tz4AAMI8gEJkrdXLr1mdTHKWhw0xKlaMMA8AnuCeLlK1ak75rTlWe/YwOg8A7kSYB1Bovl0krfjNKXfqIF1xOUEeADxFYKDR0MHO+3ZKivTKOCtrCfQA4C6EeQCF4sgRq4mTnYO+qEip/8MEeQDwNI0vNbrpRqe8arX01dfurQ8A+DLCPIACZ63Vq+Otjh93locMMoqIIMwDgCd6+CGj0qWd8qSpVgcPMToPAO5AmAdQ4H74r7R0mVNu3UpqdQ1BHgA8VXi40bAhzvt4YqI09hVOtwcAdyDMAyhQcXFW4yY4B3kREdLggQR5APB0V7Y06nC9U17xm/T1t+6tDwD4IsI8gAI1cbJVbKxTHtjfKCqKMA8A3mBAf6NSpZzypMlWhzjdHgAKFWEeQIH5+RerRd875ZYtpOuudW99AACuExF+enb7hERp1EtWGRkEegAoLIR5AAUiIcHqldecg7qwMGnoYCNjGJUHAG9y9VWnT7dfvUb66BP31gcAfAlhHkCBGDfRKuawU364j1HZsgR5APBGgwYYlS/vlGe8brXtf4zOA0BhIMwDcLklP1otXOSUL28q3Xyje+sDACg4YWFGzzxp5OcnpaZKI0ZaJScT6AGgoBHmAbjU4cOnT68PD5eeeoLT6wHA213ayKj7vU55x05p2kzCPAAUNMI8AJex1urFMVbx8c7yY4ONypQhyAOAL+jR3ahePaf8yafS0mUEegAoSIR5AC7z2Tzpt5VO+br2Urs2BHkA8BUBAUbPP20UFuYsv/iS1d59BHoAKCiEeQAuse1/VlOmOQdtZctKgwYS5AHA11SsaPTE0NO3q3v2eauUFAI9ABQEwjyAi3bihNVzL1ilpEp+ftIzTxqFhxPmAcAXtWltdPttTvnPrcr6ohcA4FqEeQAXbdwEq127nXKP7kaXNSHIA4Ave7iPUb26TvnTedL3iwn0AOBqhHkAF+XbRVbfLHTKlzWR7uvm1uoAAIqAoCCjEc8ZFS/uLI8ea7VtG4EeAFyJMA8g3/7+2+rVU7ehK1lCeu5pI39/RuUBAFL58kbPP2NkjJScLA1/2io2jkAPAK5CmAeQL4mJVk8+Y3UyyVl+6kmj0qUJ8gCA01o0N3qot/PZcOCg9NwLVmlpBHoAcAXCPIA8y8iwGjna6u9dznK3e6WWzQnyAIAzdb1batfWKa9ZK02eSpgHAFcgzAPIsznvSMt+csrNm0kP9CTIAwDOzhij4cOMatdylj/5TPr0MwI9AFwswjyAPPl1hdWs2c5BWIUK0nPPcJ08AOD8QkKMRo80iop0lidMtvrpZwI9AFwMwjyAXNux0+r5EVbWSiEh0uiRRhHcTx4AkAvlyhmNHW0UEiJlZEjPjbDavIVADwD5RZgHkCuxcVbDhlslJjrLwx83qlmDIA8AyL26dY2ef9bIz8+Z4X7YcKt9+wn0AJAfhHkAF5SSYvXk01b79zvLvXoatWtDkAcA5N3VVxoNfMT5DImNlYY+bhV/nEAPAHlFmAdwXtZajXnZasNGZ7l9O6lHd/fWCQDg2TrfatTlTqf89y7pyaetkpMJ9ACQF4R5AOf15ltWC79zyg0bSMOHGRnDqDwA4OI83Meo9TVO+fd10vMjuAc9AOQFYR7AOc3/wmr220653CXSi/8xCg4myAMALp6fn9EzTxld2shZXvazNHqMVUYGgR4AcoMwD+CsFi9J0WvjnQOqEhHSay8bRUUR5AEArhMc7MxwHx3tLC/8TnptgpW1BHoAuBDCPIAzrFtvNfSJ48rIkIKDpTGjjapUIcgDAFyveHGjV8caVa3iLM//XJo+kzAPABdCmAeQw187rB5/0io5WfL3k/7zvFHDBgR5AEDBiSxpNP5Vo/LlneV335fmvkugB4DzIcwDyHLokNVjw6wSEpzlYUONrmxJkAcAFLwyZZxAX6qUszzjdauPPiHQA8C5EOYBSJJi46wGPWZ1KMZZHvhIMd3QkSAPACg8FSsYjXvFqESEszxxstWHHxPoAeBsCPMAdPy41eDHrP7e5SzfdovUu1cxt9YJAOCbalQ3GveqUcSpQD9pitV7HxDoAeCfCPOAjztxwmroE1bb/ucsX3+d9OgA7iUPAHCf6NpGE147PUI/dbrVO+8R6AEgO8I84MOSk62GP2218Q9nudU10vBhRn5+BHkAgHvVrmU0YZxRyRLO8vSZVnPeIdADQCbCPOCj0tKsnn3BavUaZ7l5M+m5p40CAgjyAICioVZNo4njjEqWdJZnvmE1+23uQw8AEmEe8ElpaVb/GWX18y/OcpPG0qgRRkFBBHkAQNFSo4bRpPFGUZHO8qzZVlOnE+gBgDAP+Ji0NKtRL1kt/sFZrltHGvOiUUgIQR4AUDRVr+YE+tKlneX3P5TGvmqVnk6gB+C7CPOAD8kM8t997yzXqim9OtYoLIwgDwAo2qpWNZo6yahiBWf5ywXSiJFWaWkEegC+iTAP+IizBfnxrxqVKEGQBwB4hgrljaZMMqpezVle/IP05NNWyckEegC+hzAP+ID09JxBvuapIF+yJEEeAOBZSpcymjzBqF49Z/mX5dKQYVaJiQR6AL6FMA94ubQ0q1Gjcwb5CQR5AIAHK1HCaMKrRpc1cZZ/XycNHGwVF0egB+A7CPOAF0tOdm4/t4ggDwDwMqGhRq+MMbrqSmd5y59S/4FWBw4S6AH4BsI84KVOnLAaNtxq6TJnuRZBHgDgZYKDjUaNMGrfzlne+bfUp5/V/7YT6AF4P8I84IWOHbMaONhq9RpnuVFDadJ4gjwAwPsEBBg9+5TRHZ2d5cOHpX4DrNasJdAD8G6EecDL7Npt1ae/1eYtznLLFtK4V4zCwwnyAADv5OdnNKC/0cN9nM+6xERnUrzFSwj0ALwXYR7wIqtWWz3Y12r3bme5fTtp9EijkBCCPADAuxljdE8Xo2eeNPL3l1JTpedGWH34MYEegHcizANeYv4XVkOGWiUkOMvd75WefcooIIAgDwDwHddf50yMV6yYszxpitW4CRlKSyPUA/AuhHnAwyUlWb04JkOvvGaVniEFBkrPPGn04AN+8vMjyAMAfM8VlxtNmWhUKspZ/nSe9MRT3IsegHcJcHcFAG9x7NgxLVu2TCtXrtSff/6pAwcOKD09XSVLllS9evXUqVMntW7dOt/7f/311zVr1qwLbvfCsx+pXdsq+f47AAAUZXPmzNHUqVOzlpcvX37W7aJrG82YJj0+3Gr7X9LyFdLDj1iNGS2Vu8To+PHjWrt2rbZu3Zr1c+DAAUlSr1691Lt370J5PQCQX4R5wEU6deqk9PT0rOXg4GAFBAQoJiZGMTExWrp0qVq2bKnRo0crJCQk338nICBAERERSk6WTpyQ7KlBhoBAqXiYVK8u3RoA4J3+/vvvXH2xnancJUZTJznXzi9fIW3/S3qwjxPot//vvxo5cmQB1hYAChZH/YCLpKenq1GjRrrhhhvUrFkzVahQQZK0b98+zZ49W19++aV+/fVXjR49Wi+88EK+/07duo1UstQULV8h+QdLxkjdukr39+D6eACA98rIyNCoUaOUnJysRo0aacOGDbl6XliY0UujpImTrT6bLx2NlfoPtOpwrRQZGak6deqodu3aio6O1vjx43XkyJGCfSEA4CKEecBFpkyZoqZNm57xeIUKFfTUU08pICBA8+bN08KFC9W3b1+VK1cuT/vPHIHfvEUyp3puqSjpySeMmjcjxAMAvNvHH3+s9evX6/rrr1elSpVyHeYl5170gx81qlLFauJkq+Rkaf6X16nrPZ300ANG/v7O5+iUKVMKqvoA4HJMgAe4yNmCfHY33XRTVnnLli152ve69VYLvnLSfOaZ/B2ul+a+RZAHAHi/ffv2afr06SpRooQeffTRfO/n9tuMxrxoVDxMMiZA770vDX3CKj6eifEAeB7CPFBIgoKCssoZGRm5es7uPVZPPpOhfgOsYg47jwUGSmNeNHp6uJ8iIgjyAADv9+KLL+rkyZMaOHCgIiMjL2pfLVsYvT7DqFo1Z/m3lVKvh6z+t51AD8CzcJo9UEjWrl2bVa5Zs+Z5t42Ls3prrtW8+adH4v39pbR0KbTYDk2Z3FVPDt8rPz8/lSlTRk2aNFHnzp1Vp06dAnwFAAAUvvnz52vVqlW64oor1KlTJ5fss3Ilo5lTpVEvWf13qbR/v9Snn+XAGIBHYWQeKAQJCQmaM2eOJKlJkyaqWrXqWbdLTrZ67wOrLl2tPvn0dJC//jrn1EBJOnYsTjt37lRwcLBSUlK0a9cuffHFF+rRo4emT59eKK8HAIDCcOjQIU2ePFnBwcF64oknXLrv0FCjkS8YPfiAkTFSUpIUF+esy3ZzGgAosvgCEihgGRkZeu655xQTE6OgoCANGTLkjG2stVq8RJrxutX+A6cfv6yJ1P9hozrRRt9+W1n9+/fXNddcowoVKiggIECpqalas2aNpk2bpi1btuitt95SeHi4unbtWngvEACAAjJmzBglJCSoX79+qlixosv3b4xR93ul2rWkEaOsYpOcx7/8yqpTJ6sqVbicDUDRRZgHCtirr76qn3/+WZI0dOhQ1a5dO8f69RusJk+12rT59GNVKksP9zW6qqVzoCFJHTp0OGPfgYGBat68uZo0aaK+fftq06ZNmjVrlv7973+rePHiBfeiAAAoYN98841+/vlnRUdH6+677y7Qv9WyhdHsN6Q77pBSU6SjR53r6IcOka5rT6AHUDRxmj1QgCZMmKBPP/1UkjR48OAcM9rv2WP19LMZeviR00G+ZElpyCCjObONrr7SZAX5CwkODlafPn0kSSdOnNDKlStd+joAAChMR48e1fjx4+Xv76/hw4crIKDgx5/KXWJUKur08smT0oiRVmNeztDJk0yOB6DoYWQeKCCTJk3S+++/L0l69NFHdeedd0qS4uOt3ppj9dl8KS3N2TYoULrrTqnr3UbFi+dvBKBRo0ZZ5X379l1U3QEAcKcpU6bo2LFjuu2221S1alWdOHEix/q0zA9QKWtdYGCgAgMDXfL3r21vtGqtFB8vffmV9Pt6q+eekurWZZQeQNFBmAcKwKRJk/Tuu+9KkgYOHKguXbooJcUJ8G/NsUpIOL3t9ddKvR8wKncJBwgAAEinv5T+7LPP9Nlnn51327Zt20qS7rrrLg0aNMglf79yJalfP6MRI63WrZd275Ye6mfVq6fU9W7J35/PbADuR5gHXGzixIl67733JEkDBgxQly5dtPgHq+kzrfbvP71dk8ZS/77GZd/yb9y4Matcvnx5l+wTAABfdUlZo4njpPc+kN540yo9XZr5htWK36Snh0vlyxPoAbgXYR5woexBfuDAgWrYqIv69LP6Y9PpbSpXlh5+yOjqq5Tra+KttefdNjU1VTNnzpQkFStWTFdccUX+XwQAAG42bdq0865//fXXNWvWLEnS8uXLC6we/v5G3bpKVzSVXhhltXu3tG691OMBq0f6STd0zP1nOQC4GhPgAS4yefLkrCDfo8dAbfrzLvXtfzrIl4iQBg0wmjvb6P+uPnNyu9dff10tWrRQixYtzrjmfe3aterfv7+++eYbHTp0KOvxtLQ0rVq1Sn369NGGDRskSffff7/Cw8ML8JUCAFD0ne9zNVNcXFyOH2udie6SkpJyPF6tWrLenGl0y83O8xITpZfGWg0ZZnXgIJPjAXAPRuYBFzhw4IDeeecdZ8H46a2350p27qllKSREykiVZr3h/HTt2jVP94K31mrVqlVatWqVJGf2+pCQECUmJmZNAuTn56du3bqpW7duLn1tAAB4q7Pd9lWS3n333ay5bySpV69e6t27tx4bbNSyhdXLr1kdPiz9tlLq3tPq4T7Sv29ilB5A4SLMAy6QmJhxesFmSDqabVlKOun8ZPrnrLwXUqtWLT3yyCPauHGjtm/frri4OCUkJCgkJETVq1dX48aNdcstt6hWrVoX90IAAMB5XXWlUaNG0uQpVl9/K504Ib3ymtUPP0rDHpMqViDQAygcxmaeT3QBsbGxBV0XFEGRkZG0/XmcPGn1+ZfSO+9axR07/fgVl0t9HjSqE+25H+i0ve+i7X1T4K9TFJKwV0nFKyq1ZT93VweFjH6fP7+usHr5FatDMc5yUJDUravRPV2k4GDPOAag7X0XbV+0RUZGXnAbRuaBfEhMdG4z9+FHOUN8nWgnxF9xuWd8gAMAgPxr2dxozmxpyjSrL7+SUlKkWbOtvl0oPTrQWQ8ABYUwD+RB/HGrjz+x+vhT5bhXfOXK0gM9jdq0lvz8+OAGAMBXFC9u9PhQow7XW702wWr7dmnvPmno41bX/J/VgH5G5cpxbADA9QjzQC7s/Nvq03lW334rnUw6/XiN6lL3e50Q7+/PBzUAAL6q8aVGs2ZIn82T3phtdeKEtHSZtHy51e2dre69xygigmMFAK5DmAfOITXV6pfl0udfWP22Mue66GipRzfnXvGMxAMAAEkKCDC68w6pbRtp8jSr7xdLKanSex9IXyyw6tZV6nyrFBLCsQOAi0eYB/5hx06rBV9bLVwkxcXlXNeiuXT7bUbNm3H7GQAAcHalSxs9/4zRbbdYTZthtWGjc3netBlW738odblTuu0WKTSUYwkA+UeYByTFxlr9uFT65lurTZtzrgsNlTpeL3W+1ahKFT50AQBA7lzayGjqJOmnn6XpM63+3uUMFEyfafXu+9Ltt1n9+2aj0qU4vgCQd4R5+Ky4OKulP0mLl1it/V3KyMi5vklj6YZORq2vkYoV40MWAADknTFG/3e1dGVLacmP0ttzrXbulI4fl2a/Lc1916pNa6vOtxo1qM+ZfwByjzAPnxIf7wT4JT9YrV4tpf8jwJcu7YzCd+poVLkSH6YAAMA1/P2Nrm0ntWvjTIw3912rP7dKaWnSd99L331vVb2a1LGDdN21YrQewAUR5uH1EhKslv3sBPiVq5wPzeyiIqXWraR2bY0aNWRCOwAAUHD8/Ixat5JaXSNt/EP65FPnUr/0dGnHTmnqdKvpM6VmV1h1vN6ZbDc4mGMTAGcizMMrxcVZ/fSLtHSp1crVUmpqzvUlSzgBvm0bo8aXcls5AABQuIxxBhEaNTSKibH6ZqH0zUKr3budS/+Wr5CWr7AKCZGaN7O65mqjK1tK4eEcswBwEObhNQ4dslr2k/TfZVa/rzvzGviICKnV/zkB/rImzu1jAAAA3K1MGaPu90rdukp/bHIm5F28REpIlJKSpP8ulf671MrfX/rXZVZXX2XUoplUsSLHMoAvI8zDo+3eY7V0mfMB989Z6CVnBP7qq6RWrYyuaEqABwAARZcxRg0bSA0bGA3ob/XrcmnpMqtffnWCfXq6tHKVtHKVlSRVqmjV7AqpWTOjfzXhVneAryHMw6MkJ1ut+V1ascJq+Qppz94ztylT2rkO7Zr/M7q0EQEeAAB4nuBg59r61q2MUlOdO+8sXeachXjkqLPNnr3Oz2fzrQICpEsbWV1xuXMGYt06HAMB3o4wjyLNWqs9e6UVvznXja1ZK6WknLldpYpOgG91jVHdOkxiBwAAvEdgoHFG4K8wGvyo1fbt0vLfpN9WWm3Y6Ezum5YmrVkrrVnrjNoXC5EaNbK6rAnhHvBWhHkUKdZa/b1L+v136ff1VuvWSTGHz9zO309q2FBq0dyZDKZGde7LCgAAvJ+fn1Ht2lLt2lK3rkYnTjiDHStWWv32m7R3n7PdySTpt5VO4JeccN+woVWD+lKD+kb160klSnDsBHgywjzcKiXF6n/bncle1q2z+n29FBd39m1LlZJaNJdaNDO6vCmzubqKtVbW2jMez8jIUMY/ZxGET6DtfZPzPuC8H9D+vqcw+70xhi/gXSg01Ll93dVXOf+mBw46EwGv/d05NX9ftnDvXG8vSaevuW/c+LiqVLaqUUOqWV0qU4YBEsBTGHu2o/iziI2NLei6oAiKjIx0Wdtba7V3r7Rps7RpszNh3bb/nXnbuEzh4VLjS6UmjY2aXibVqsWHS0F46aWXNHbsWHdXA4CbPfV/YapTyl9/HknXqGWJ7q4OvNiwYcP0xBNPuLsaPiMz3K9Za/XHH9Lfu86/ffHiUs0aUo0aUo3qRpUrOZczlinDrXy9jSuP8+F6kZGRF9yGkXkUmGPHrDZtkTZtcoL75i1SfPy5t4+MlJo0lppcatS4sXPqPNe+AwAA5F+5S4w6XCd1uM45poo/brV5szO48scmq61bjY7Gnh7bS0iQ1q13fjJH8CUpMFCqUN6qYkWpciXntniVKkoVK0qXlOV6fMAdCPNwiRMnrLb9T9q67dSo+6bT12ydTWCgVLuWVL++VL+uc91WxYqMvAMAABSkiHCj5s2k5s0kySgyMlLbtx/V9r+kv3ZI2/+y2rFD2rHTucd9ptRUZ1T/9Mj+6aDv7y+VL2+dcF9BqlDBOL/LS+XLS8WKcXwHFATCPPLEWqvYWCe0O+Hdatu2s98iLrtKlaQG9aT69Yzq1ZNq1ZSCgnhjBwAAcLeoKKOoKOmKyyXJOT5LT7c6cNC55t65BZ5zueSevdK+vVJKtssk09OlPXucH0fOq3ijIq0qVMgM+lKF8ubUb2dOJM7EBPKHMI8zZGQ4gT3msHQ8IVmbN1vt2m21e7e0a7d0/Pj5n18i4tSIez2jenWl+vWkiAjepAEAADyFv78zul6xQs6QLznHijGHlRXu9+y12rPHWd63z5lsL7ujsc7Pxj8yHzkd9oOCnNP3y5aVSkVJUVFSqVJGpaKcoB8VJUWWlMLCCP3APzEBnhew1io1VUpKlpJOOqdEJSVLJ7OVk046b6zJWY/bHI8nJTmzyMcclo4ccb5hzY3SpaXoWs7tUaJrO7dKKV+O0+U9yblms2dSFN9F2/umoOVTVSxxr06GVVRKi4fdXR0UssLs98xmX7S4uu2ttYqLcy633LdP2rdf2rfPat9+J+yf7ZbDueHnJ4UXl8IjpIhwKSLb7/BwZ+AoPNyZwC8sVCoeJoUVd36HhnJN/9nweV+0MQGem6WnWyUnS8kpTohOOfX7nOVsjyUnO89NSjodts/2czJJSk6S0gv4bjKRkVKVys6EJ1WqGNWsIUXXliIjeWP0dOc6qPLz85Ofn58bagR3o+19k/M+4Lwf0P6+h34PVzHGKDLSOXZs2CDr0az1yclWBw5khnxp76mgHxMjHT3q/JztuDYjQzoW7/yc3fnHJ0NCrMLCToX7U7/DwqTQYlJQsBQcLAUHSSEhJqscHCwFh5wuBwZKAQH/+O1/5uMBAcz8j8LhtWF+6TKr1WusMqxkM+T8zl4+9VvW+Z2RcWr9qXJamjM6nZaWrZzu/E5Py7k+c90/H8vt6LY7+PlJISFSSLAUUkwqFuJ8q1mmjFSmtFSmjFGZ0lLNmuEqWeI493QHAG8XEJLzNwAUgOBgo6pVpapVMx/JeYyZkWF1LN45U/ToUed33DFnFv7j8VL8cefuSPHHpeOnwv2JExf+u5kDYUeOXGjLXJ20fEF+fjYr4AcGSP4Bzu+AU8uBgdkeC3AmEcz+4+fn/A7IVs5al33brHUmx/NyrjvL8/yliIgUJZ20Zz7vH8/95/NyrPNzfjJzlHSqnO2fM9ePZ1+2WZtllZXLx7P+xKmFoCDnrg7eyCvD/LFjVk8/Z5VRwKPVBcnf/1TY/kfgDg6WihU79TvEeTwk2PkWMXP7YiHZnpvtseBs6wIDc3cqfGRkoGJjvfM/PwDgtLTa18ocjFTaJZe7uyoAfJifn1FkSec6edXMvubcx6NpaVbHT4X8hEQn3CckSImJUuIJKSHBKjHx1LpTvzOXk09dkpp5dqyrZGQ4Z9+mpLhun+eXny8hLjARlhfpcqdV/4e97+wjrwzzERFS61bSylWSn5GMn2TM6XLWY/rHcrZtAvxPf0uW/XdA5jdS2R/LLPvn3D4oyDlNJyhIOU/XOctjQdnLQVzXAwAoXLZkFflXbyzL9ZMAPExAwOlT+88ud8fV1tocl8JmXgabdGreqfR05xZ9qafO0k3LLGd/LC1zG6v0tGzbn2Wb7L8zz+rNyDhdTk93LjnIvpx9fUa2bXB++w+4uwYFwyvDvDFGI54jDAMAAADIHWNM1sCbC/bmip3kirX2rF8EZC6nneOLgNCwCMXGxuf5udm/SEhLd05nzzzhN/tvY7L9K5h/rMv2T2SyrzvXtpn7/se2WScaZ3s825+U5AyUtmh+kf/IRZRXhnkAAAAA8AXGGAXkI9VFRgZwOa2H874LBwAAAAAA8HKEeQAAAAAAPAxhHgAAAAAAD0OYBwAAAADAwxDmAQAAAADwMIR5AAAAAAA8DGEeAAAAAAAPQ5gHAAAAAMDDEOYBAAAAAPAwhHkAAAAAADwMYR4AAAAAAA9DmAcAAAAAwMMQ5gEAAAAA8DCEeQAAAAAAPAxhHgAAAAAAD0OYBwAAAADAwxhrrXV3JVA0HT9+XKtXr1bTpk0VHh7u7uqgENH2vou29120ve+i7X0Xbe+7aHvvwMg8zikhIUH//e9/lZCQ4O6qoJDR9r6LtvddtL3vou19F23vu2h770CYBwAAAADAwxDmAQAAAADwMIR5nFPx4sXVqlUrFS9e3N1VQSGj7X0Xbe+7aHvfRdv7Ltred9H23oEJ8AAAAAAA8DCMzAMAAAAA4GEI8wAAAAAAeBjCPAAAAAAAHoYwDwAAAACAhyHMAwAAAADgYQLcXQEUrD///FOLFy/WqlWrtHXrVsXFxSk4OFjVqlVTmzZt1K1bN5UoUSJf+z548KCmTp2qZcuWKSYmRuHh4WratKl69eqlJk2auPaFIM8Kou1XrFih7t27n3ebxo0b66OPPrqYquMi/fjjj1q6dKn++OMP7d+/X7GxsfL391e5cuXUrFkzde/eXbVq1crXvun3RVtBtD393nPt379fN9xwgxITEyVJixcvVqVKlfK8H/q957nYtqffe4ZJkyZp8uTJ592md+/eeuyxx/K8b/q9ZyDMe7Fdu3bp5ptvzlouW7as6tSpo5iYGG3cuFEbN27UBx98oFmzZqlOnTp52vemTZt03333KT4+XsWKFVPt2rUVExOjRYsWafHixfrPf/6jzp07u/olIZcKsu0lKSgoSA0bNjzrutq1a+e73nCNt956S7/++qsCAgJUpkwZRUdHKz4+Xrt379aOHTv06aefatSoUbrlllvytF/6fdFXUG0v0e890TPPPJMV5vKLfu+ZXNH2Ev3eU5QqVUpVq1Y967qKFSvmeX/0ew9i4bV27txpW7RoYSdNmmR37dqVY92qVatsmzZtbHR0tG3Xrp1NTk7O9X6TkpJs69atbXR0tO3Ro4eNjY211lqbkZFh58yZY6Ojo239+vXttm3bXPlykAcF1fbLly+30dHRtk2bNq6uMlxo3rx59qeffrInT57M8fiBAwdsv379bHR0tG3YsKHdu3dvrvdJv/cMBdH29HvP9Mknn9jo6Gjbv39/Gx0dbaOjo+3u3bvztA/6vWdyRdvT7z3DxIkTbXR0tH388cddtk/6vWfhmnkvVq5cOS1evFj9+/dX5cqVc6xr2rSpXn75ZUnS7t27tWzZslzv9+OPP9a+ffsUFham1157TSVLlpQkGWPUrVs33XjjjUpLS9OUKVNc9lqQNwXV9vAMt9xyi6666iqFhITkePySSy7Rq6++qoiICKWkpOjHH3/M9T7p956hINoenufQoUN66aWXVLFiRQ0YMCDf+6Hfex5XtT18F/3esxDmvVhwcLBCQ0PPub5p06YKDw+XJG3fvj3X+/3mm28kSR07dlRkZOQZ67t06SJJWrJkiU6ePJmXKsNFCqrt4fmCg4OzvuBJTk7O9fPo954vv20Pz/P8888rPj5eI0aMULFixfK9H/q953FV28N30e89C9fM+7D09HSlpaVJ0nmD3z+fs379eknSFVdccdZtGjdurMDAQCUlJWnz5s3617/+5ZoKw2Xy0/bZJSQk6Nlnn9Xu3bvl7++vSpUq6ZprrlGbNm1kjHF1deFCR48e1V9//SVJatSoUa6eQ7/3Dvlp++zo955hwYIFWrx4sW6++WZdffXV2rNnT772Q7/3PK5q++zo955hy5YtGjJkiGJiYhQaGqratWvr+uuvP+d8B+dCv/c8hHkf9t1332V9o9asWbNcPWffvn1KSUmRJFWpUuWs2wQFBal8+fLatWuXduzYQScvgvLT9tkdO3ZMH374YY7H3n//fTVq1EiTJk1S+fLlXVJPuM7Ro0e1YcMGjR8/XidPntSNN96oyy+/PFfPpd97totp++zo90Xf0aNHNXLkSEVGRmr48OEXtS/6vWdxZdtnR7/3DJs3b9bmzZuzln/44QfNnDlTt956q1544QUFBwfnaj/0e89DmPdRx44d05gxYyRJ7dq1U3R0dK6eFxcXl1U+323NMtfFx8fnv5IoEPlte0kKCQnRTTfdpBtvvFG1atVS2bJlFRsbqyVLlmj8+PHasGGD7r//fn3yyScKCwsrqJeAXPr+++/Vr1+/HI9VqlRJI0aM0J133pnr/dDvPY+r2l6i33uSESNGKDY2Vi+//LKioqIual/0e8/iyraX6PeeonTp0urZs6fat2+vqlWrqkSJEtq9e7fmzZunN998U/PmzVN6enrWXEkXQr/3PIR5H5SWlqZHH31U+/btU1RUlJ5//vlcPzf7dZZBQUHn3C7zG0CupSlaLqbtJefUqsaNG+d47JJLLtHdd9+tFi1aqHPnzvrrr7/0zjvv6KGHHnJhzZEfJUuW1L/+9S9Za3Xo0CEdOHBAe/fu1YIFC3T55ZerZs2audoP/d7zuKrtJfq9p/j+++/1zTff6Oqrr85xa9L8ot97Dle3vUS/9xR33333GY/VrFlTjz32mOrVq6fBgwfriy++0D333KPLLrvsgvuj33seJsDzMRkZGRo2bJh++eUXhYWFafr06Spbtmyun5/9NJ3M03DOJvPNgMlXio6LbfsLqV69etakKAsXLnTZfpF/l19+ud5//3198MEHWrJkiX788Ufddttt+u2333TnnXdq7969udoP/d7zuKrtL4R+XzQcO3ZMzz//vEJDQ/XCCy+4ZJ/0e89QEG1/IfR7z3DDDTdkzY+yaNGiXD2Hfu95CPM+xFqrp556Sl999ZVCQ0M1c+bMM751vZDsp9xkPxXnn44dOyZJioiIyFdd4VquaPvcaNq0qSRp586dLt83Ll7ZsmX14osv6qqrrlJCQoKmT5+eq+fR7z1ffts+N+j37jd27FjFxMRo4MCBqlSpkkv2Sb/3DAXR9rlBv/cMme20Y8eOXG1Pv/c8nGbvI6y1euaZZ/TZZ5+pWLFimj59er4mQKpYsaKCgoKUkpKiXbt2Zb1JZJeSkqL9+/dLcr69hXu5qu1zIzAwUJKyZspH0dS2bVv9/PPP2rhxY662p997j7y2fW7Q790vsz1nzJih119/Pce69PT0rPLtt98uf39/dezYUU8//fR590m/9wwF0fa5Qb/3DHltJ/q952Fk3ke88MIL+vjjjxUSEqJp06apefPm+dqPv79/1ik7K1euPOs269atU2pqqkJCQlSvXr181xmu4aq2z41t27ZJErPbFnGZH+rZD/TOh37vPfLa9rlBvy86jh49qsOHD+f4iY2NzVofGxurw4cPKyEh4YL7ot97Fle2fW7Q7z1DXtuJfu95GJn3ASNHjtT777+v4OBgTZ06VS1btryo/XXs2FGrV6/Wt99+q6FDhyoyMjLH+g8++ECS1Lp1a66lcTNXt/35JCQk6N1335UkXXXVVQX2d3BxrLVZ1zg2aNAg18+j33u+/Lb9+dDvi4bPP//8nOv27Nmjdu3aSZIWL16cp1Ox6fdFX0G1/fnQ7z3D5s2btWzZMkl5ayf6vWdhZN7LjR07VnPnzs0Kc7ntzGPGjFHbtm01aNCgM9bdcccdKl++vBITEzV48OCsa2qstZo7d64WLFiggICAM26LhMJVEG0/YMAALV269IzTtbZt26b7779fe/fuVVhYmHr16uWS14C827Bhg8aNG6e//vrrjHV79+7VoEGDtGbNGvn7+6tbt2451tPvPVtBtT393rvR730X/d6zbdu2Tc8884w2bdp0xroff/xRvXv3Vnp6uurXr6/rrrsux3r6vfdgZN6LrV27VrNmzZIkFS9eXFOmTNGUKVPOum2rVq3Up0+frOXY2Fjt3btXFStWPGPbkJAQTZo0ST179tQvv/yi1q1bq0aNGoqJidGhQ4fk5+en559/Pk/3L4drFVTb//LLL1q4cKGCg4NVpUoVhYaG6siRI9qzZ48k53ZYEyZMOOtzUThOnDih6dOna/r06SpZsqQqVKigwMBAHTlyRHv37pW1VqGhoRo1apTq16+f47n0e89WUG1Pv/du9HvfRb/3bGlpafroo4/00UcfKSIiQpUqVVJAQID27Nmjo0ePSpLq1KmjadOmyc8v5/gt/d57EOa9WPZbShw5ckRHjhw557ZVq1bN074bNWqkL7/8UtOmTdOyZcu0detWhYeHq3379nrggQdydS9LFJyCavvHHntMK1eu1JYtWxQTE6OEhAQVK1ZMjRo1UqtWrXTPPfeoVKlSF1V3XJy6devqmWee0W+//aY///xTu3fv1smTJ1W8eHE1btxYLVu2VJcuXVSuXLk875t+X7QVVNvT730b/d430e+LvooVK+rRRx/VunXrtH37du3atUvJyckKDw/XlVdeqQ4dOujWW2897/3iz4V+7zmMtda6uxIAAAAAACD3uGYeAAAAAAAPQ5gHAAAAAMDDEOYBAAAAAPAwhHkAAAAAADwMYR4AAAAAAA9DmAcAAAAAwMMQ5gEAAAAA8DCEeQAAAAAAPAxhHgAAAAAAD0OYBwAAAADAwxDmAQAAAADwMIR5AAAAAAA8DGEeAAAAAAAP8/8ZoXKW5eK81wAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -4808,7 +4777,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
@@ -4824,13 +4793,13 @@
       "pytensor: 2.31.7\n",
       "xarray  : 2025.7.0\n",
       "\n",
-      "matplotlib: 3.10.3\n",
+      "patsy     : 1.0.1\n",
+      "causalpy  : 0.4.2\n",
+      "arviz     : 0.21.0\n",
       "pymc      : 5.23.0\n",
       "numpy     : 2.3.1\n",
-      "arviz     : 0.21.0\n",
-      "causalpy  : 0.4.2\n",
-      "patsy     : 1.0.1\n",
       "pandas    : 2.3.1\n",
+      "matplotlib: 3.10.3\n",
       "\n",
       "Watermark: 2.5.0\n",
       "\n"

From ae81faa6c95d5674c6dd94c2f321f0977facf705 Mon Sep 17 00:00:00 2001
From: Nathaniel <NathanielF@users.noreply.github.com>
Date: Tue, 29 Jul 2025 14:48:12 +0100
Subject: [PATCH 31/31] address ben's final comments

Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
---
 docs/source/notebooks/inv_prop_latent.ipynb | 606 ++++++++++----------
 1 file changed, 295 insertions(+), 311 deletions(-)

diff --git a/docs/source/notebooks/inv_prop_latent.ipynb b/docs/source/notebooks/inv_prop_latent.ipynb
index 41f879cc..382fe7c3 100644
--- a/docs/source/notebooks/inv_prop_latent.ipynb
+++ b/docs/source/notebooks/inv_prop_latent.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -29,13 +29,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## The Pardox of Propensity Scores in Bayesian Inference\n",
+    "## The Paradox of Propensity Scores in Bayesian Inference\n",
     "\n",
     "In causal inference the role of the propensity score is often seen to be central. For instance, [we've seen](https://causalpy.readthedocs.io/en/latest/notebooks/inv_prop_pymc.html) how the {term}`propensity score<Propensity scores>` can be used with the `cp.InversePropensityWeighting` class to correct for a species of selection bias by re-weighting our outcome variable and calculating a causal contrast on the re-weighted scale. Additionally we can use the propensity score to visualise and diagnose problems of overlap or covariate balancing across treatment and control groups. \n",
     "\n",
     "These properties give the propensity score a large role to play in _design based_ approaches to causal inference. The focus there is on assessing aspects of the treatment allocation to ensure we have identifiability assurances for estimands of interest. What then is their role in model-based or analysis focused Bayesian methods?\n",
     "\n",
-    "When we use `cp.InversePropensityWeighting` to apply various re-weighting techniques we perform a two-step  manoeuvre: 1. we estimate the propensity score and 2. apply the inverse-weighting of the score to transform our outcome variable and assess causal contrasts. But being good Bayesians, we might wonder why go to all this trouble? Can we not simple estimate a full-bayesian model of treatment and outcome simultaneously?\n",
+    "When we use `cp.InversePropensityWeighting` to apply various re-weighting techniques we perform a two-step  manoeuvre: 1. we estimate the propensity score and 2. apply the inverse-weighting of the score to transform our outcome variable and assess causal contrasts. But being good Bayesians, we might wonder why go to all this trouble? Can we not simply estimate a full-bayesian model of treatment and outcome simultaneously?\n",
     "\n",
     "In this notebook we'll show why we should be careful attempting to model the joint-distribution of the propensity score and the outcome variable, but still make good use of the propensity score. \n",
     "\n",
@@ -70,8 +70,8 @@
     "We will first consider a simple simulated data set where we know the true values of the data generating process and then we'll demonstrate how to fit the joint distribution of the propensity score and the outcome in a single joint distribution using `PyMC`. To contrast this we'll show how to fit a two-stage version of the same model. In both models we assume independent priors between the regression for the treatment and the regression for the outcome variable. Nevertheless, we will show that the joint model exhibits a bias due to feedback when there is non-measured confounding i.e. when there is misspecified outcome model. \n",
     "\n",
     "- Model Specification\n",
-    "    - Joint Model\n",
-    "    - 2 Stage Model\n",
+    "    - `Specifying the Joint Model`\n",
+    "    - `Specifying the 2 Stage Model`\n",
     "- Application to Simulated Outcome\n",
     "- Application to Mosquito Net Data\n",
     "- Application to Lalonde Data\n",
@@ -89,7 +89,7 @@
   },
   {
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    "source": [
     "### Specifying the Joint Model\n",
     "\n",
-    "No we define a model context that fits our data simultaneously for treatment and outcome. We allow that the propensity score estimated in the treatment model is used in a non-parametric spline to flexibly inform the outcome variable. Note that we will allow for a richer model specification of the treatment than we do for the outcome model. This is to try and push the models to use the propensity score information to adjust for unmeasured confounding in the outcome model. "
+    "Now we define a model context that fits our data simultaneously for treatment and outcome. We allow that the propensity score estimated in the treatment model is used in a non-parametric spline to flexibly inform the outcome variable. Note that we will allow for a richer model specification of the treatment than we do for the outcome model. This is to try and push the models to use the propensity score information to adjust for unmeasured confounding in the outcome model. "
    ]
   },
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-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n"
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     "):\n",
     "    with pm.Model(coords=coords) as model_trt:\n",
     "        X_data_trt = pm.Data(\"X\", X_trt, dims=(\"obs\", \"betas_trt\"))\n",
-    "        T_data_ = pm.Data(\"T\", T_data, mutable=True, dims=\"obs\")\n",
+    "        T_data_ = pm.Data(\"T\", T_data, dims=\"obs\")\n",
     "\n",
     "        if noncentred:\n",
     "            mu_beta_trt, sigma_beta_trt = priors[\"beta_trt\"]\n",
@@ -909,7 +901,7 @@
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    "cell_type": "code",
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+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
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@@ -978,7 +970,7 @@
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    "cell_type": "code",
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+   "execution_count": 6,
    "metadata": {
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        "version_major": 2,
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-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 79 seconds.\n",
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n",
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-      "  warnings.warn(\n",
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       "Initializing NUTS using jitter+adapt_diag...\n",
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+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 18 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
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-    "Here the models fail to recover substantially similar and correct results, in particular the simple regression model is widely off. However the 2-stage models seem to perform better. This is interesting and demonstrates a key property of propensity scores in the Bayesian setting. Propensity scores are useful correctives within a regression context but we need to be careful how the model is specified.\n",
+    "Here the models fail to recover substantially similar and correct results, in particular the simple regression model is widely off. However the 2-stage models seem to perform better than the joint model specification. This is interesting and demonstrates a key property of propensity scores in the Bayesian setting. Propensity scores are useful correctives within a regression context but we need to be careful how the model is specified.\n",
     "\n",
     "### The Problem of Feedback\n",
     "The issue here is sometimes called Bayesian feedback or \"collider bias via the likelihood\" {cite:p}`GriffithCollider`, and it's a key issue when trying to build joint models for causal inference in the Bayesian paradigm. Because we have fit the outcome and the treatment models simultaneously, and this means that the outcome can influence the posterior distribution of the parameters $\\beta$ in the treatment model and it violates the idea of design-before-analysis. We have here an apparent example of a slight bias due to this effect.  The two stage modular approach seems to better recover the treatment effect reported in the literature and avoids the risk of collider bias i.e. in the modular implementation we are able to use the propensity score to adjust for accuracy and compensate for the missing variables `x2` and `x1`. \n",
@@ -1537,7 +1525,7 @@
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+       "<!-- sigma&#45;&gt;like -->\n",
+       "<g id=\"edge7\" class=\"edge\">\n",
+       "<title>sigma&#45;&gt;like</title>\n",
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@@ -1728,7 +1716,7 @@
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@@ -1759,7 +1747,7 @@
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-   "execution_count": 12,
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-     "execution_count": 12,
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@@ -1790,7 +1778,7 @@
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-   "execution_count": 13,
+   "execution_count": 12,
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@@ -1846,7 +1834,7 @@
   },
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-   "execution_count": 14,
+   "execution_count": 13,
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    "outputs": [
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@@ -1911,7 +1899,7 @@
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-   "execution_count": 15,
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@@ -1931,7 +1919,7 @@
   },
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-   "execution_count": 16,
+   "execution_count": 15,
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@@ -2249,7 +2237,7 @@
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@@ -2263,7 +2251,7 @@
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@@ -2307,9 +2295,7 @@
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-      "Sampling 4 chains for 2_000 tune and 1_000 draw iterations (8_000 + 4_000 draws total) took 16 seconds.\n",
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n",
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       "Sampling: [alpha_outcome, beta_ps, beta_std, like, nu, sigma]\n",
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@@ -2470,12 +2456,12 @@
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-   "execution_count": 22,
+   "execution_count": 21,
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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2506,7 +2492,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {
     "tags": [
      "hide-input"
@@ -2547,41 +2533,41 @@
        "      <th rowspan=\"5\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
        "      <td>-0.261</td>\n",
-       "      <td>0.051</td>\n",
+       "      <td>0.052</td>\n",
        "      <td>-0.358</td>\n",
        "      <td>-0.165</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[trt]</th>\n",
-       "      <td>-9.931</td>\n",
-       "      <td>0.263</td>\n",
-       "      <td>-10.423</td>\n",
-       "      <td>-9.450</td>\n",
+       "      <td>-9.933</td>\n",
+       "      <td>0.262</td>\n",
+       "      <td>-10.410</td>\n",
+       "      <td>-9.440</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[income]</th>\n",
-       "      <td>-10.106</td>\n",
-       "      <td>0.223</td>\n",
-       "      <td>-10.505</td>\n",
-       "      <td>-9.666</td>\n",
+       "      <td>-10.097</td>\n",
+       "      <td>0.221</td>\n",
+       "      <td>-10.503</td>\n",
+       "      <td>-9.680</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>-16.208</td>\n",
-       "      <td>0.636</td>\n",
-       "      <td>-17.372</td>\n",
-       "      <td>-14.960</td>\n",
+       "      <td>-16.194</td>\n",
+       "      <td>0.654</td>\n",
+       "      <td>-17.454</td>\n",
+       "      <td>-15.004</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>46.586</td>\n",
+       "      <td>46.580</td>\n",
        "      <td>0.397</td>\n",
-       "      <td>45.808</td>\n",
-       "      <td>47.293</td>\n",
+       "      <td>45.841</td>\n",
+       "      <td>47.317</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -2648,11 +2634,11 @@
       ],
       "text/plain": [
        "                                   mean     sd  hdi_3%  hdi_97%  r_hat\n",
-       "1-stage-model     alpha_trt      -0.261  0.051  -0.358   -0.165    1.0\n",
-       "                  beta_[trt]     -9.931  0.263 -10.423   -9.450    1.0\n",
-       "                  beta_[income] -10.106  0.223 -10.505   -9.666    1.0\n",
-       "                  beta_ps       -16.208  0.636 -17.372  -14.960    1.0\n",
-       "                  alpha_outcome  46.586  0.397  45.808   47.293    1.0\n",
+       "1-stage-model     alpha_trt      -0.261  0.052  -0.358   -0.165    1.0\n",
+       "                  beta_[trt]     -9.933  0.262 -10.410   -9.440    1.0\n",
+       "                  beta_[income] -10.097  0.221 -10.503   -9.680    1.0\n",
+       "                  beta_ps       -16.194  0.654 -17.454  -15.004    1.0\n",
+       "                  alpha_outcome  46.580  0.397  45.841   47.317    1.0\n",
        "2-stage-model     beta_[trt]    -10.053  0.316 -10.640   -9.475    1.0\n",
        "                  beta_[income] -10.593  0.192 -10.947  -10.232    1.0\n",
        "                  alpha_outcome  42.202  0.415  41.418   42.976    1.0\n",
@@ -2662,7 +2648,7 @@
        "                  alpha_outcome  37.832  0.216  37.439   38.255    1.0"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2694,7 +2680,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -2703,7 +2689,7 @@
        "array([0.181, 0.249, 0.31 , 0.369, 0.43 , 0.5  , 0.571, 0.643, 0.727])"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2723,7 +2709,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -2732,7 +2718,7 @@
        "array([0.239, 0.283, 0.317, 0.349, 0.379, 0.412, 0.449, 0.492, 0.556])"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2745,12 +2731,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -2781,7 +2767,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -2915,7 +2901,7 @@
        "4    289.7899   False  False  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2929,7 +2915,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -2941,7 +2927,7 @@
        "Name: re78, dtype: float64"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2959,7 +2945,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "metadata": {
     "tags": [
      "hide-output"
@@ -2978,7 +2964,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "19a72e7b6a874f1e8d1b7da9064c2528",
+       "model_id": "2f6936bc6f8f4bbd8c3f867511e7027c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -2993,6 +2979,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
+      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
+      "  return 0.5 * np.dot(x, v_out)\n",
       "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/step_methods/hmc/quadpotential.py:316: RuntimeWarning: overflow encountered in dot\n",
       "  return 0.5 * np.dot(x, v_out)\n"
      ]
@@ -3012,8 +3000,6 @@
      "output_type": "stream",
      "text": [
       "Sampling 4 chains for 5_000 tune and 1_000 draw iterations (20_000 + 4_000 draws total) took 6 seconds.\n",
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -3023,7 +3009,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "eb3c40ab89644c4f8b25d4364376c352",
+       "model_id": "4fc603f50a0c44cca30c12a5cfea446f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3048,7 +3034,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 12 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 13 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -3058,7 +3044,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3237631d1d8b47b0960447a236d408d4",
+       "model_id": "3cb4afa0b8f442ccb2a4239fda999500",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3092,7 +3078,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4d1312f9216f485282c96972d4143748",
+       "model_id": "50878c7b5c59437682a0e3c838998305",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3197,12 +3183,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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Acr8fp0+fLnZBqVy5MmxsbBAWFoadO3fi9OnT2LlzJ+zt7VW+H99//z18fHxQs2ZNODg4QCqVvuMdLDkNGjSAnp4enj9/Lr73cnnHWxgxYgT8/f2hra2NWrVqwcTEBK9evcLt27fh6+uLQYMGMZnXBAIRlQnz588XJBKJMH78+GLt7+3tLUgkEqFevXrC0aNHxeVv3rwRvv/+e0EikQidOnUS0tPTFfbr1KmTIJFIhPr16wtbt24VcnJyBEEQhKSkJGHgwIGCRCIRxowZIzRu3Fg4duyYuN+LFy+Ezp07CxKJRNi9e7fCMW/cuCHG0qxZM+H69eviuqioKKFXr16CRCIRJk6cqPQ6Dh8+LISHhyssy8rKEvbv3y/Uq1dP6Ny5sxij3OrVqwWJRCI4OzsLX375pRAdHS2uy8jIEARBECIiIsRr8DaJRCJIJBKhcePGwsGDBxWu3bBhwwSJRCL88MMPCvvk5OQIn332mSCRSIRRo0YJiYmJ4rrTp08LDRo0EOrXry9IJBIhIiJC6Zz5+emnnwSJRCL89NNPCstfvnwpNGvWTJBIJMKiRYuEzMxMMY6///5bfA8fPXqk8tqsXr1aYfnBgwfFfXr06CE8e/ZMXHf37l3xXBcvXlTYT/7efvPNN4V+TXlFRkYKJ0+eFFJSUhSWv3r1Spg4caIgkUiENWvWKO2Xt5xu2LBByM7OFgRBEKRSqTBt2jRBIpEIAwYMUNpPXvb79OkjvHjxQlx+7do1oWnTpuJ7dOPGjWK9nrdt375dkEgkQosWLYSsrKxC77dixQpBIpEITk5Owpw5c4R79+6Jr/Fd3lWu5Yp7zceMGSNIJBKhb9++Cp+pW7duCc2bN8/32u3Zs0eQSCSCm5ubwrrs7Gxh3bp1gkQiET755BPxs1kY8vc/7+cz7+to0KCBIJFIhDNnzgiC8L/r4uzsLDRp0kQ4f/68uL38Hvjw4UOhXr16gkQiETZt2iTeVzIzM4V58+YJEolEcHFxEWJiYhTO980334j3tylTpgipqamCIAiCTCYTduzYIa57+7N48eJFwcnJSWjZsqUYp5z8/ta0aVOl8xXn/rRgwQLxPvL2+/7kyRNh7969Csve9bmWnz8/gwYNEiQSiXD27FmldVKpVHB1dRUkEokQHByc7zHyunr1qnjOYcOGCT4+PkJaWlqh9h0/frwgkUgEd3d3wd/fX2Hd8+fPhU2bNiksW7JkiSCRSIR27doJgYGBCtt269ZNkEgkwuTJkxX2KUzZevnypeDq6io4OTkJ69evF+/XgiAIfn5+Qvv27QWJRCJ4e3sX6nUJwv/u5fnde8eNGydIJBJh7NixgiAIQnJysnDo0CEhISFBYbukpCSxfPz8889Kx5GXb2dnZ2H27NkK117++kriPl5SvzdSU1MFd3d3QSKRCAsXLhTevHkjrgsJCRF69uwpSCQSYdeuXSqv59vfjXktW7ZMkEgkwhdffCE8fPhQ4TrI7xF9+/ZV2Ef+WXJ2dhZat24t3LlzR1xX2Hue/D14V2xy8t8Mb98b5d/xb/+WkDt9+rQgkUiEXr16KdzfBUEQ4uLihO3btxf6c0fqxQ63RGVETEwMABS7Oba8Rv6rr75Cr169xOWmpqZYunQpLC0tERUVBU9PT5X7f/LJJxgxYoRYk21mZiY2y/bx8cGAAQMUpr2pWrUqRo0aBSC3Oa0q2dnZmDhxIlq1aiUuq1atGv744w8AwNmzZ8UmlXJffPGFOEqrnK6uLgYMGIAePXogIiIC/v7+Ks+no6ODVatWwcbGRlxWlNrR/v37KwyuZWpqipkzZ6p8jVevXkVwcDAsLCywYsUKmJubi+u6du2KMWPGICsrq9DnLsi///6LlJQUODs745dffhFrwLS1tTFu3Dh06NABWVlZCjXphZGdnY0lS5Yo1Cw0adIEAwYMAABcunSpxF4DkFtT1r17d6VByqytrfHnn39CT08Px48fz3f/du3aYcyYMWINn56eHmbNmgV9fX3cu3cPSUlJ4rZhYWE4f/48AOCPP/5QqH1p3bo1Jk2aVKLv0atXr7Bu3ToAwLBhw6CrW/jGb6NHj0b9+vUhCAL27t2LAQMGwMXFBYMHD8ayZctw//79YsdVnGv+7Nkz+Pj4QE9PDytXrlT4TDVv3hwzZ85Uee2kUik8PDygo6ODNWvWKLSU0NHRwXfffYeuXbvi5cuX4owd7yMuLg4//vgjpFIpzM3N0aZNG4X1OTk5mDRpEjp37iwuk9cWbtmyBdnZ2ejcuTNGjRol3vv09fUxZ84cODo64s2bN9izZ4/Kc5ubm2Px4sVijaWWlhaGDBmCTz/9FNnZ2di2bZvC9itXroQgCPjtt9+Uat8HDBiAoUOHIjU1Ff/995/K8xXl/iTvbjB8+HCl993BwQFffvmlynMUR79+/QBAoSmvnI+PDxITE9GgQYNCTx3Ypk0bMb7r169jzJgxaN68OXr16oU5c+bgwoULyMnJUdovICAA58+fh76+PjZt2oTGjRsrrK9Vq5b4nQUAKSkp4ns7d+5c1K9fX2Fb+ffU6dOnFWrc5d5VtrZt24bExEQMGzYMY8eOVWix0KxZM8yfPx9AbkuN9yUIArZv3y423+7evTsAoEKFCujTp49StyAzMzPMnj0bVatWxalTp5Cdna3yuI6Ojpg3b55CNwP563vf+3hJ/t44ePAgwsPD0aVLF/z6668Kg4TWqVMHy5Ytg5aWltLnsSDx8fHYvn07TE1N8ffffyt0gTI0NMTs2bPRsGFDBAYG4vbt20r75+TkYN68eWjatKm4rCi/R4DcLgBOTk5K/5XErB3y7hj9+vVTuL8DgJWVFYYNG6bUxYTKJjazJyojUlNTAaBYN8/U1FQxwR0yZIjSeiMjIwwcOFDsP9m/f3+lbVQty/vlpWq9vJ+mvL/v2/T09FTuV7duXbi4uMDPzw9XrlzB4MGDFdY/ffoUJ06cQHBwMJKSksQfG9HR0QBym1+qaqLbpk2b95p6TlWsTk5OMDAwwJs3bxQGNLt27RoA4NNPP1WaEgYA+vbtqzQn8Pu4evUqAOTbBHvo0KG4ePGiuF1hOTs7q+x6IV+W33v7PmQyGby9vXH16lVEREQgLS1NbCKqpaWF58+fIz09XeVnQf6QIS/53NOhoaGIiIgQH6xcuXIFgiCgRYsWKhOJ/v37Y9myZSWS0EulUvzwww9ITEyEs7MzRo8eXaT9TU1NsWfPHvz777/477//8PTpU6Snp+POnTu4c+cONm3ahM6dO2PJkiUwMzMrcnxFveby8u3q6qr0cA0Aevbsifnz5yMjI0Nhub+/P2JjY9GwYcN8x5lwc3PDmTNncOvWLXzxxRdFeh0bNmwQk1351HTyptgLFy5UOdp/7969VR5L/llRdc+UJ+Zz5szB1atXMXnyZKVt+vfvr/LH+VdffYWzZ8/iypUr4rKoqCg8ePAAFStWVEj+8nJzc8PWrVtx69YtleuLcn+SP7g6c+YMnJycPuhUZd27d8dvv/2GS5cuIT4+XqEftjzBL+o0lgsWLEC7du2wc+dO+Pn5ITs7G48fP8bjx4+xb98+ODo6Yvny5Qp9n728vAAAXbp0UWgqnR8/Pz+kp6ejWrVqKt+TRo0aoWnTprh79y6uXr2qcpyH/MrW2bNnAai+XwFA+/btoaenh7t37yI7O7tID/4ePnwofmdmZ2cjPDwciYmJAHIfJL891/z169dx4cIFPH/+HKmpqZDJZAByPz/p6ekICwtTOTZEQYPsvs99vCR/bxR0revWrQtbW1tERETg5cuXSolrfi5evAipVAo3NzeV+2hra6Njx464f/8+fH19lcYxqlChQr6f9cLKb2q6wnZrexf5a7p48SIGDBjAxF2DMZknKiPkT7jT09OLvG94eDhkMhn09fVV/vAGcp9QA/+rsXmbqh8qeX+UqVov/+EofxDxNhsbm3yn0nJwcICfn59SPBs2bMDKlSvFHxyq5K19zat27dr57lMY+Q3KZWVlhejoaKSlpYmvWR53flMD2trawtTUFCkpKe8Vk5z8fPL38W3yZPX169dISUkp9BRm+ZUX+Xuf33tbXMnJyRgzZgzu3r1b4Haqflzk9x5VrFgRoaGhSEtLE5fJr1l+5cLU1BRVqlR57wcWgiBg5syZ8PPzg7W1NTw8PFT2HS6IgYEBRowYgREjRiAmJgYBAQG4ffu22MfZy8sLEyZMEPuiF1ZxrnlB5dvAwAC1atVSGOwLAIKDgwHkJq9vP6STe/PmDYD/tUYqiufPn4ux6enpwdraGs2bN8e3336rcvBAS0tLlYN8JScnIz4+HgBUJjJAwffM/MqVfHnez6L8umRmZuZ7XeTjLeR3XYpyf/r6669x5MgRrFu3DkePHkW7du3QvHlztGzZ8r0eeKpiYmKCbt264dChQ/D09BRnY4iPj8elS5egp6dXrNHVP/30U3z66adISUlBQEAA/P39ceHCBQQEBCAkJAQjRoyAp6en+P4+e/YMAJRq5PMTGhoKIPf9yu9hR506dXD37l2VZSC/spWamioOPpbfoIBymZmZSExMzLffuiopKSnimADa2towMzODq6srvvjiC/Tt21d8LVKpFFOmTBFbJ+VH/iDgbfl9LoAPcx8v7u8N+Wdr1apVWL9+vco4EhISAOR+tgqbzMuPe+/evXw/s3FxceJx31arVq1CjRHxLoWZmq643N3dYWtriytXrqB9+/Zo3749mjdvDldX10K3oqGygck8URkh/4FVnMRC/uVmZWWV748S+Y+F/JIzVQPV5D2Wqi/kgmp73h7cTtW6vPHcunULK1asgI6ODqZNmwY3NzdUq1YNRkZG0NLSwl9//YX169fn2ywwvxG5Cyu//eW1E0KeAYbkD13eNae1iYlJiSXz8iQ1v2uad3lqamqhk/mCXnNJW7x4Me7evQt7e3tMnToVjRs3hqWlpZj8fvLJJ4iJicm3tjy/2gNV75H8mqn6wS1XqVKl907mFy5cCE9PT1hYWGDr1q0lMnNBlSpV0KVLF3Tp0gUzZszA8uXLsXXrVty8eRN+fn5wcXEp9LGKc80LW77fJk/U4+PjxWQ5P3kHCyzKaylKLW9+5TvvQ5/8PlMF3TOL8lmUX5e8iVh+8rsuRbk/OTs7Y9euXVizZg1u3LiBffv2Yd++fdDS0kLbtm0xa9asdyZrRdWvXz8cOnQIR44cEZN5T09PZGVloWvXru+cAaIgpqamaNOmDdq0aYPx48fj9OnTmDJlCuLi4rBv3z589913ACDeawvbcqUw9wdV31Ny+b0fee/5Bb3XAJRatxQk72jk77Jx40acP38e1tbWmD59Olq0aAFra2vxcz948GDcuXMn3+/Td9XUvu99vCR/b8iv94MHD/KNV64o11r+mZUPlPcuqj6z7/t75EMzNjbGv//+i1WrVuHMmTM4efIkTp48CSD3Idb06dPRqVMnNUdJhcFknqiMaNq0KXbv3l2sZnfyH9Xx8fEQBEHll97r168Vti0N7/oxL1+XNx55H7uRI0eqnDbs5cuXJRxh8cl/bORNCt5WkrXaxsbGePPmDeLi4lTWWshrCIDSfY+LIjs7WxwVeN26dUo1m9nZ2WI5LQnyH1PvKod5r1tx/PXXX9i9ezeMjY2xadMmhRH+S4quri5mzJiB48ePIzY2Fvfv3y90Ml/cay4v3+8qw+9KcD7//HMsW7asUDGqQ94f2nFxcahcubLSNgXdM/MrV3mXy/eVn69Zs2b59sEvaU2aNMGWLVuQmpqKO3fu4ObNm/D09MSVK1fEWu3idNlQpXnz5rCzs8ODBw8QHBwMiUQijmJf1Cb2BenWrRtOnTqF06dPIyAgQFwuv9bJycmFOk5R7g9Fuae+Peq7ukYDl3+fLl68GO3bt1daX9zv09K+jxfE2NgYycnJOHv2rMKo7SVxXAAYN24cpkyZUmLHLUtsbGywePFiLFy4EA8ePMDNmzdx5swZBAYG4vvvv8eePXsK3dKF1IcD4BGVER06dICxsTHi4uJw5syZIu1bs2ZNaGtrQyqVKg0oJ/fkyRMAKFRfwpISHR2dbzIgn7otbzzypol5B4zJKygoqGQDfA/yuN9uZiz34sWLEquVz3s++fv4tpCQEAC5tYmFrZUvjvfpexsfH4+0tDRYWFiobKIcEhKicmCr4pJfM3lz2relpqa+1wOizZs3Y/369TAwMMD69evRqFGjYh+rINra2qhWrRoAKExvVND7UdxrLh8QUd7U9G1SqVQcQCkvedN0eXksq8zMzMQa2fymkSzonilv1v02+fHyfhbl10U+j3lpMjExQfv27TF9+nScOnUKNWvWRExMTIkPbpl3ILzg4GA8ePAA1tbWKhPJ9yXvHpS35ld+jQuaNlFOXsafPn2a79SGxfnerFChgvhwKL/7dWl41/dpQkJCsbq5AKV/Hy+IvIVJUe85Bd07NeVelp+ifFfr6uqicePGGDNmDA4ePIiePXsiJycHBw8e/IARUklhMk9URpiZmYkDMf3+++8FNv318/MTm/CZmJiIX9iqmt9lZGSIg0a1a9euJMN+p6ysLBw4cEBpeXBwMG7fvi02+ZSTDyalqrb0ypUrZSqZl8d99uxZlUn7oUOHSvR88vdt9+7dKtfL3/cP/f7Km0cWtWlo3n1TUlJU7r958+b3C+4t8mtx69YtlT+q//vvv2IPfrdv3z4sXboUenp6WLVqldL89kVVUAuB5ORklYlFQe9Hca+5fFT4mzdviklBXidPnlR5vObNm8PS0hJBQUG4efPmO16R+snLh6p7piAI2LVrl8J2bztw4IDKeaPlNe957212dnaQSCRITEwUa6zVwcjISGw98urVq0LtU9jP/BdffAEdHR0cP35c/L4p7NzyeRWmtYy8r3bez4J8/vjz58+rHH3+bS4uLjAyMkJ0dLQ4eF5e9+/fx927d5W+pwpDPlvBP//8U6T9SpL8fVN1Pbdt21bshLu07+MFkV/rHTt25PtQRhX57438ynWHDh2gp6eHS5cu5TtuRllW0Ot7F3ltfGHvEaReTOaJypAJEyagadOmeP36NQYNGoQjR44o9cUKDQ3F/PnzMXToUIXmgfLRs/fs2aMwJUxKSgp+/PFHxMfHw9bWtlgDERWXrq4u1qxZA19fX3HZy5cv8dNPPwHI/RLO22Rc3nR448aNCi0MAgICMGvWrCJP6/IhtWnTBk5OTkhISMD06dMVmnaeP38eGzduLNHmlYMHD4apqSkePXqE33//XUwiZDIZNm3aJE4jNmLEiBI7pyry/uBPnjwpsE/028zMzODo6Ijs7GyF15CTk4ONGzfi5MmTJXrNatWqhc6dO0MQBPz0008KtfA3b96Eh4dHsc536tQpzJs3D9ra2vjjjz9KpF/h6NGjMW3aNFy/fl3pAcOjR48wfvx4pKamwtraWiG5tLKygomJCeLi4lTWMBf3mtvb26Njx47IysrCDz/8oFCL5+fnh8WLF6vcz8DAAJMmTQIATJ48GefOnVP6gR0cHIylS5fCz8+vCFeo5H377bfQ1dWFl5cXtm7dKtaYS6VS/PbbbwgODkaFChXyHfwqMTERs2bNErvaCIKA3bt34+zZs9DR0VH6LE6fPh1aWlpYsGAB/vvvP6W+yhEREfj777/F0bnfx9y5c3Hy5EmlAVVv3bqF69evA0C+sw28TV4Lnvc+rkrlypXRvn17xMbG4t9//wVQvCb269evx1dffQVPT0+lB6WvXr3CnDlzxIfBeWdDaNCgAbp06YLMzEyMHj1aoQk+kDsV15YtW8S/TU1Nxfd2wYIFePjwobguPDwcP//8M4Dc0frzG3wwP6NHj4aFhQUOHz6MxYsXKzX9T0xMxIEDB8SpLD8E+ffpkiVLxBZygiDgyJEj2Lp1a7G/T0v7Pl6QL7/8EjVq1MDNmzcxffp0pQQ0NTUVJ0+exOLFixWWy8u1vGvj26pUqYJhw4YhKysLI0eOVHo4KQgCAgICMHfu3HxbRKqT/PXdv39f5cDK27dvx/bt25W6RLx48UKshCnsPYLUi33micoQfX19bNmyBTNnzsSZM2fw008/Ye7cuahZsyYMDAzw6tUr8Ue1jY2Nwg+MTp06YcyYMdi4cSOmT5+O5cuXo2LFinj27BnS0tJgbm6OlStXqhx45kNp2rQpTExMMGTIENjZ2cHY2BjBwcHIzs5GjRo1lEb6/fLLL7Fnzx6Eh4eje/fusLe3R1ZWFkJDQ1GnTh306NGjyHPFfija2tr4888/MWTIEFy4cAGffPIJHBwckJCQgKioKAwZMgTe3t6Iiop67xFtgdwfFn/++ScmT56Mf/75B0eOHEHNmjXx4sULxMXFQVtbG7Nnz0bdunVL4NXlz8rKCq1atcKNGzfg7u6OOnXqwMDAAJUqVcJff/1V4P5Tp07F+PHjsW/fPpw5cwbVq1dHVFQUEhISMH78eBw9elRlTXBxzZ07F0FBQQgMDIS7uzscHR2RlpaG58+fo2PHjkhNTc13KrD8zJgxAzKZDKampti1a5dYg/u22bNnF/rHkEwmg6enJzw9PcWR4vX19fHq1Svxx6mZmRlWrlyp0CdXS0sL3bp1w8GDB9GnTx84OjqK6+U1zsW95vPnz8fgwYMREBCAzp07QyKRIC0tDaGhoXBzc8ObN29w69YtpfL91VdfITo6Ghs3bsSECRNgYWGBGjVqQCaTISoqShw9+31bM7wvZ2dn/PLLL1iwYAH++OMPbNmyBVWrVkVYWBiSk5Ohr6+PZcuW5TsN1Pjx4/H333/D29sb9vb2Cu/V1KlTlUbX79ChA2bPno3ffvsNv/76KxYvXgw7OztoaWnh5cuX4o/qefPmvfdr8/f3x969e6Grq4tatWqJD3zk73OvXr3QqlWrQh2re/fuCAkJwbhx4+Dk5CR2HVixYoXStenXrx98fHyQnZ1dpLnl89LS0oKfnx/8/Pygra2NmjVrwszMDPHx8Xj58iWys7Oho6ODn3/+GQ0aNFDY97fffsPr169x9+5dDBgwALa2trC0tBSvr62tLUaOHCluP3nyZLGvcJ8+fVCnTh3o6uqKTcXr1q2LOXPmFPk12NjYYN26dfj++++xfft27N69G/b29jAyMkJ8fDwiIyMhCAJ69OhR5GMX1sSJE3Ht2jV4e3vjk08+Qa1atRAbG4tXr16hd+/eiI6OLvABTX5K+z7+LiYmJtiwYQPGjBkDT09PnDx5Evb29jA1NUVSUhIiIiKQk5Oj1Pe7Xbt2MDc3h5+fHzp27IgaNWpAV1cX7du3F8fsmTJlCl69eoVjx45h6NChsLa2RtWqVcUujfKHJPJBH8uS+vXrw87OTvyus7e3h56eHurWrYtffvkFUVFR2LFjBxYvXgxbW1tUrFgRKSkpCAsLQ05ODiQSyQevHKCSwWSeqIwxMTHB6tWrcfv2bRw+fBi3b99GZGQksrKyYGlpiY4dO6JLly747LPPlBLzadOmoVmzZti5cycCAwPx+vVrVK5cGb169cK4ceNUzlf6IWlpacHDwwMbNmzAsWPH8OTJE1haWsLd3R2TJk1SGkXY1NQU//77L5YvX46LFy8iNDQUVapUwYgRIzBhwoQyk8jL1a1bFwcPHsTKlStx9epVhISEoFatWpgzZw6+/vpreHp6Aija4Enypo+qajY6d+6MQ4cOYePGjbhx4waCgoJQoUIFdOnSBSNHjsx3rIGStnz5cixfvhxXr17FgwcPkJ2dDVtb20Lt6+bmhk2bNmHt2rV49OgRQkND4ejoiFmzZqFXr144evRoicZapUoVHDhwAKtWrYKXlxeePHmCatWqYdKkSRgzZgy+/fbbIh9TXnNe0Mjk8tGQC2Pr1q24fPkyLl26hJCQELx69Qpv3ryBsbExGjdujHbt2uHrr79WOYL6L7/8AhMTE3h5eeHx48dKNfvFveY2Njb477//sHr1anh7eyMkJETh2g0aNAiA6vI9bdo0dOrUCbt374afnx+CgoJgYmKCKlWqoHPnzujatStat25d6OvzoXz11VdwcnLC1q1bcefOHQQFBYn32bFjx+Y7FSSQ26Xg33//xZo1a+Dv7w+pVIomTZpg1KhR6NKli8p9vv76a7Ro0QI7duzAjRs38OTJE+jr68PGxgatWrVCly5d0KFDh/d+XTNnzoSXlxf8/PwQHR2N8PBwVK5cWSxHRWlNMmbMGMhkMpw4cQJPnjwRa2JVjeDdqVMnWFpaIiEhodgD302dOhVt27bFpUuXcO/ePcTExCAqKgp6enqws7ND8+bNMXjwYJUPLs3NzbFz507s378fnp6eCAkJwevXr2FtbY2uXbuiT58+CtsbGhpiy5Yt2LNnD44ePSqOaeDg4IAePXpg+PDhxZ5/28XFBSdPnsQ///wDHx8fcQrZKlWqoH379ujUqZPYRPxDaNCgAXbv3o2VK1fi7t27CA0NRa1atTBmzBh8880375WAlvZ9vCAODg44evQo/v33X5w/fx5Pnz5FREQErK2t0aJFC3To0EHpWpuammLLli1YvXq1OPWhTCZT+C7T1dXF0qVL8dlnn2H//v24d+8eHj16BDMzM9jZ2aFp06bo2rWrOP5CWaKtrY0NGzZgxYoVuH37NgICAhS6VgwaNAjm5ua4ceMGwsPD8ejRI5ibm6Nhw4b4/PPP0b9//1Kt/KHi0xKK0sGEiKgQbt68iaFDhxZ6Cp2PUUJCAlq1agUzM7Mi1fyOGzcOFy5cwMiRI/Hjjz9+wAiJik8mk8HV1RVv3ryBr68vzM3N1R1SqRkyZAh8fX2xY8cOtbcuKGuSk5PRtm1bCIKAK1euvNeUdEREVDD2mSci+gDkA+AVtbZcPnp4Sc4BTVTSzp49izdv3qBOnTrlKpGndzt+/DikUik6d+7MRJ6IqBQwmSciKqbHjx9j3759CtPvCYKAo0ePYtWqVQAgNkUujO3btyMqKkrst0ekTq9fv8amTZuQkJCgsPzSpUuYO3cugKKVb/q4JSYmiiOZf/XVV2qOhoiofGCfeSKiYkpMTMScOXMwf/58VKtWDRYWFoiIiBAH+Pryyy/h5uZW4HFGjhyJx48fIzY2FgAwatQocZ5iInXJyMjAsmXLsHz5ctjY2KBSpUp4+fKlWE47duzIpI2wceNG+Pj4ICQkBMnJyWjXrh27HxARlRIm80RExVSnTh2MGjUKV69eRXR0NKKjo2FqaorWrVtj4MCBhR6pOCAgAFlZWahfvz6+/PJLfPnllx84cqKCVaxYERMmTMDly5cRGRmJoKAgGBoaolmzZujduzf69+9fIjM1kGZ79uwZ/Pz8YGFhgd69e2PmzJnqDomIqNzgAHhEREREREREGoZ95omIiIiIiIg0DJN5IiIiIiIiIg3DPvMEAEqjFRNpCnNzcyQlJak7DCrHUlNTUaNGDQBAREQETExMSu3cLP9UXrHsU3nG8l8+WFpaFrgNa+aJSKNpa/M2RuUXyz+VVyz7VJ6x/JMcSwIRERERERGRhmEyT0RERERERKRhmMwTERERERERaRgm80REREREREQahsk8ERERERERkYZhMk9ERERERESkYZjMExEREREREWkYJvNEREREREREGobJPBEREREREZGGYTJPREREREREpGGYzBMRERERERFpGCbzRERERERERBqGyTwRERERERGRhmEyT0RERERERKRhmMwTERERERERaRgm80REREREREQahsk8ERERERFppO+++w6tWrVSdxgKWrVqhe+++07dYdD/8/T0RKtWreDp6anuUEqcrroDICIiIiIiAoCMjAzs3bsX3t7eiIiIQE5ODszNzVGtWjU0btwYvXr1QvXq1dUdptp4enpi0aJFCssMDAxQuXJltGzZEiNGjEDFihXVFB2VNibzBADIycmBTCZTdxhERZaVlYWsrCx1h0HlWN7yV9rlkeWfyiuW/Y9TWloaxo8fj6dPn6J69er49NNPYWpqilevXiE0NBQ7duyAjY0NqlSpIu7zyy+/ICMjo8yVB0EQPkhMOTk5AAAXFxc0atQIAJCUlAQ/Pz8cOHAAly5dwubNm2FpaVni59ZUbdu2xa5du1CxYsUyV07eF5N5AgBERUVBKpWqOwyiIktMTERSUpK6w6ByLD09Xfx3REQEjIyMSu3cLP9UXrHsf5wOHz6Mp0+fokOHDhg1ahS0tLQU1r969QrZ2dkICwtT2lfVMnXKyMj4IDHFxcUBABwcHNC5c2dx+RdffIHly5fj3r172LZtG/r161fi59Z0cXFx4vXTBJUrVy5wGybzBACQSqXQ0dGBjo6OukMhKhIDAwPo6+urOwwqx+S1JACgr69fquWR5Z/KK5b9j9OzZ88AAD179oSBgYHSelXN6+fNm4eHDx9i//794jIfHx+sW7cO48ePh6mpKQ4dOoTw8HCYmJigU6dOGDhwILS1tXH58mUcP34cUVFRMDMzQ/fu3dGrVy+F4+/fvx8HDhzA3LlzER0djZMnTyImJgZmZmZo3749+vfvr7IsamtrKy3Pzs7G6dOncfnyZbx48QJaWlqws7NDr1690Lx580JdI11dXfH/bx/fzc0N9+7dQ1hYmNK6pKQkHD58GH5+foiLi4ORkRGcnZ0xcOBA1KxZU+k8Dx8+xL59+/Ds2TPo6emhYcOGGDJkCDw8PJSud95rFBsbi1OnTiEqKgp16tTBvHnzAOQ++D5+/Dhu3LiBmJgY6OnpwdHREf369UPdunUVzp2QkIAjR47g7t27iIuLg76+PqysrODs7IyvvvoKxsbGAHJbcsiP+fr1a2hra8PS0hISiQQDBw5EpUqVACiWh44dOyqc6/Hjxzh06BCCg4MhlUphbW2NNm3aoHfv3kplcODAgahXrx6mTp2KXbt24c6dO0hPT4ednR2++uor1K9fv1DvYWHk/W3xLkzmSaSjowM9PT11h0FUJHp6eiy3pFZ5m+zp6uqWanlk+afyqjyWfUEQkJmToe4w8mWgY6hUk15UFSpUAADExsbC0dGxUPvIz5m3PMgrp27duoV79+7B1dUVzs7O8PPzw6FDh6CtrQ1TU1Ps378frq6uqF+/Pm7cuIFdu3ahUqVK6NChg9KxTpw4gcDAQLRr1w4tWrSAn58fjhw5grCwMMyePVvptWtpaSnElJWVhd9//x2BgYGoXbs23N3dkZ2dDT8/P/z5558YPXo0evToUeDrlcejra2t9BmQr3v7uyg6OhqzZ89GfHw8mjRpglatWiEpKQnXr19HQEAA5s+fD4lEIm7v7++PRYsWQUdHB23btoWlpSUCAwMxd+5cmJiY5Hu9PT09cf/+fbi6uqJJkyZibvHmzRv8+uuviIiIQL169dC0aVOkpaXB19cX8+fPx4wZM9CyZUsAQGZmJubMmYNXr16JsWZnZyMmJgY+Pj7o168fzM3NIQgCfv/9dwQHB6Nu3bpo1qwZtLW18erVK/j6+qJz586oWrWqQnxv5zrXr1/H8uXLoauri7Zt28Lc3BwBAQE4cOAA7t+/j4ULFypd47S0NMyePRvGxsbo0KEDkpKScOXKFfz2229YtmwZatWqVeB7WJKYzBMRERERlWGCIGDhjREISbyn7lDyJbFsgl9bbn2vhL5Nmza4dOkS1q5diydPnqBJkyaoXbs2TE1Ni3W8u3fv4vfffxcfDAwePBjfffcdjh8/DmNjYyxfvhw2NjYAcpupf/fddzhy5IhCMi8XEBCApUuXirXYX3/9NRYuXIi7d+/i4sWLSjW+b9u3bx8CAwMxaNAgDBw4ULxO6enpmDNnDrZt24ZWrVrBysqqWK81JycHXl5eAABnZ2eFdatXr0ZiYiLmzJmDJk2aiMv79++PGTNmYN26dVi5cqV4nHXr1uWWuYULFZL8NWvWwNvbO98YHjx4gD///FMpod28eTMiIiIwYcIEha4BiYmJ4vmbNm0KfX19BAQEICYmBp9//jm+/fZbheOkp6eLLRPCw8MRHByMli1b4ueff1bYLisrC9nZ2e+8Xunp6Vi7di20tbWxZMkS2NnZAcj9rK1cuRKXLl3CkSNHMGDAAIX9nj9/jm7dumH06NHQ1s6dGK5hw4ZYu3YtTp48WeqzGHBqOiIiIiKiMu59a701QcuWLTF06FDIZDIcPnwYc+fOxZAhQ/Ddd99h48aNePHiRZGO98knnyjU8BsZGaF58+bIzMxE165dxUQeACpVqgRnZ2eEh4erbOLcoUMHheboOjo6+OabbwAAFy5ceGccMpkMZ86cQdWqVRUSeXlMAwcORHZ2Nm7cuFHo1xYQEIC9e/di79692LRpEyZPnoy7d+9CIpGgW7du4nbPnj1DUFAQOnXqpJDIA4CtrS26dOmCsLAwsX//o0ePEBsbixYtWigk8kDuwxB5AqtKly5dlBL55ORkXLlyBY0aNVJI5AHAwsICX3zxBZKTk3HvnuKDKlVdF4yMjJRqylV1x9DT0ytw/JqbN28iNTUVnTt3FhN5IPdzNmTIEOjo6Kh8cGFoaIihQ4cqXIdOnTpBR0cHT548eec5PwTWzBMRERERlWFaWlr4teXWj76ZPQD06dMH3bp1w507d/D48WM8efIEISEhOHXqFLy8vDBt2jS4uroW6lj29vZKy+SjvOe3TiaTITExUWl6t3r16iltX6dOHejr6yM0NPSdcURFRSElJQWWlpbYt2+f0nr5YI6RkZHvPE5eAQEBCAgIUFjm5OSEBQsWKCTCwcHBAHL7oe/du1dlbPL/16pVC8+fPwcApX7sQO4DD2tra8TExKiMSVXXiJCQEMhkMkilUpXnj46OFs/fokUL1KtXD5aWljh06BCeP38OFxcXODs7o1atWgrlq3r16qhVqxYuXbqE169fw9XVFfXq1UPt2rULNQaYfHyGBg0aqHydNjY2iIqKQnp6usKDgapVqyo9KNDR0YGFhQVSU1MLPG9JYzJPRERERFTGaWlpwVC39GbLUCcjIyO0bdsWbdu2BQCkpqZi165dOH36NNauXYumTZsWaswE+UBpeckTvXetU1Uzb25urvIc5ubmiI+Pf2ccKSkpAHJnPFGVzMtlZma+8zh5ffPNN+jXrx9kMhlevXqFffv2iQO9/fDDD+J2b968AQD4+fnBz88v3+NlZOQ+KJLP0GJmZqZyO3Nz83yTeQsLC6Vl8tceFBSEoKCgfM8vf+0mJiZYsmQJ9uzZg9u3b4sxV6xYEf369UP37t0B5L5XCxYswN69e3Hjxg1s375djLtHjx7o37//O5N6+evM7321sLBAVFQU0tLSFJJ3VeUGyB3DQB3TfDOZJyIiIiKiMsvExARjxoyBn58fYmNjER4eDgcHh1KNIb+pEJOSkvJN8OTk61u3bo0ff/yxROPS1taGjY0NJk2ahFevXuHixYto3bq1OKCc/NyFHWBPnrgmJyerXP+uKSFVtcyQn793794YPnx4gecHcqdkmzx5MnJychAeHg5/f3+cOHECGzduhKmpKdq3bw8gN3EfM2YMRo8ejcjISNy/fx8nT57E3r17oaur+87p+eSvM7/Xk5iYqBB/WcU+80REREREVKZpaWmp7B9dWh4+fKi07MmTJ5BKpSqb7OdVvXp1GBsb48mTJwUOzFZcWlpaGDVqFLS0tLBz506xdYG86fvjx48LdRx5/3FVteivX7/G69evixRXnTp1oKWlVejz56WjowN7e3v06dMHU6dOBQD4+voqbaelpYUaNWqgR48e4lR4qrbLq3bt2gCAwMBApXVxcXGIiYlBlSpVCux7r25M5omIiIiISO3OnDmDkJAQleuuX7+OqKgomJiYqJwX/UO7ePEiwsPDxb9zcnKwa9cuALkDoL2Ljo4OunbtitjYWGzfvl1lQh8WFibWBheXvb09XF1dERUVhcuXLwMAJBIJJBIJLl++jCtXrijtI5PJFBJaZ2dnWFtb49atW2J/e7k9e/YUev5zOUtLS7Rt2xZBQUE4fPgwBEFQ2iY4OFhsZh8WFoZXr14pbSO/NvLxAGJiYhAREVHgdvlxdXWFsbExvL29Fd5XQRCwa9cuZGdnw83NrVCvUZ3YzJ6IiIiIiNTuzp07WL9+PapWrYq6devCysoKGRkZCA0NxcOHD6GtrY2xY8cWqr98SWvUqBF++ukntGvXDhUqVICfnx/Cw8PRtGlTlVPZvW3w4MF49uwZTpw4AT8/P9SvXx9mZmaIj49HWFgYnj9/jiVLlqjsd14UgwYNgq+vL/bv34/27dtDR0cHU6dOxezZs7F8+XIcP34cDg4O0NfXR2xsLB4/fozk5GTs378fQO6Dh7Fjx2Lx4sWYPXs22rVrBwsLCzx48ADx8fGws7MTR74vrDFjxiAqKgo7duzAxYsX4eTkBGNjY7x+/RpPnz5FdHQ0tm7dCgMDAwQEBGD79u2oW7cubG1tUaFCBcTExODWrVvQ19cXuwrIr1edOnVQs2ZNWFpaIi4uDr6+vtDW1kbv3r3fGZOxsTHGjx+PFStW4KeffkLbtm1hZmaG+/fv48mTJ3B0dMQXX3xRrPegNDGZJyIiIiIitRs6dCjq1q2Le/fu4eHDh0hISAAAWFlZoVOnTujZs2ep95WX6927N1q0aAFPT0+8fPkSZmZm6Nu3r9JUc/nR09PD7Nmz4eXlhQsXLuD69evIysqChYUFqlevjq5duypN61YcdnZ2aNWqFa5fv44LFy7A3d0dVapUwYoVK3Ds2DHcvHkTXl5e0NbWhqWlJerXr4/WrVsrHMPFxQVz587Fnj17cOXKFejr66NRo0aYPn06Fi5cWOSm5xUqVMDixYtx8uRJXL16FZcuXYJMJoOlpSXs7OwwcOBAccC9Jk2aoEePHnj48CFu3LiBjIwMWFlZoV27dvjiiy9Qo0YNAICDgwP69u2LwMBA+Pn5ITU1FZaWlmjcuDG++OILpWn1VGnbti0sLS1x8OBB3LhxA5mZmahcuTIGDBiAvn37Fli7XxZoCaraOlC5I3/apY4nnUTvw8LC4r2bpRG9j7S0NLRo0QJA7r20NAfLYfmn8opln0rL3r17sW/fPixcuFDlNGbqoK7yn56ejuHDh6NWrVr4888/S/385UlWVhYaN25c4HbsM09EREREREQAcqepk0/dJpeTk4Pt27dDKpWKI+WT+rGZPREREREREQEAoqOjMWvWLDRp0gRVqlRBeno6Hj16hIiICNSoUQM9e/ZUd4j0/5jMExEREREREYDcMQratGmDBw8e4O7du8jJyYG1tTV69+6NAQMGwNDQUN0h0v9jMk9ERKRCRKQOXr7UhY1NNmpUL9pUPERE9HEYNGgQBg0apO4wSpW5uTkmTpyo7jCoEJjMExFRmZCUXPBowKXhTYoWNm02x8NH/xvFtp6zFKNHJaGCqfKYsenp/4s7+Y0WsrI/3OswN+OYtURERJSLyTwRkQbIyFB3BB/eqLGV1R0CAEBbGzAxARbM00LjhsC9+8DS5fqYNsMaMpny9jJZqvjv7ydZQ1vb5IPFtnNbjMLf6Rnlo2wUBlt9EhFRecNknohIAwwZUUXdIZQbMhkwY5oW3Drm1rC7dQQEAZg7X/214qrLAcsGAPy3J6bgjYiIiD4inJqOiIjoLY0bKv7dpJF64iAiIiLKD2vmiYg0wNvNqz9GZan1wb37uTXycv4BagtFwdvlwNzCAkmJieoJhoiIiNSKyTwRkQYoD/2BN294pe4QAAArVlpgxV96EARtNGmUm8j/tVKGes5ZmPpDotL26elp6OyW+++1q2NhZJSqtE1JebscGBkCmeWgbBAREZEyJvNERFQmlJWR2qf9kIhVHhaYO/9/o9k3apiFyRMSYaYiRj3d/y0zqyDA2LhsvA4iIiL6uDGZJyIiysPMTMDsWQmcZ56IiIjKNCbzREREKtSonsMknoiIiMosjmZPREREREREpGFYM09ERERERGWCj48PHj16hKdPnyIsLAzZ2dmYOHEi3NzcinysR48e4fjx43j8+DGSk5NhYGAACwsL1K5dG02aNFE4pre3N9asWVPscxGpA5N5IiIiIiIqE/7991/ExsbCzMwMlpaWiI2NLdZxvL294eHhAR0dHTRr1gxVq1aFVCpFTEwM/Pz88PDhQybtpPGYzBMRERERUZnw/fffo2rVqqhcuTIOHjyIXbt2FfkYmZmZ2Lx5M4yMjPD777+jVq1aCuuzs7MRGBhYUiETqQ2TeSIiIiIiKhMaN2783scICwtDeno6XF1dlRJ5ANDV1UWTJk3Ev1evXo0LFy4AANasWYM1a9aI6w4fPgwAePr0Kby8vBAYGIi4uDhkZ2fDxsYGn3zyCXr37g1dXeW0KjAwEHv27MHTp0+hp6eHxo0bY/jw4Vi5ciUePHggHltOEAR4eXnBy8sLYWFhyMnJQY0aNdCtWze4u7u/93Whj0+Rk/mbN29i6NChmDBhAiZOnPghYip1P//8s8KHad68eRg8eLAaIyoZ2dnZqF+/vsKyx48fqykaIiIiIio2QYBWToa6o8iXoGMIaGmpOwwAQIUKFQAAr169gkwmg7b2u8f8btmyJVJTU+Hr6wtXV1fY29srbXP27Fncvn0b9erVg4uLCzIzMxEYGIhdu3bhyZMn+OmnnxS29/f3x6JFi6Cjo4O2bdvC0tISgYGBmDVrFkxMTJSOLwgCVq5ciUuXLqFatWpo37499PT04O/vj7Vr1yIyMhLDhw8v/kWhj1KZq5mX913x9vYu9XMPHToUZmZmaNCggcJyJycnuLq6YufOnaUeU0GGDBkCX19flUm6trY2JkyYACD3qWJUVFRph0dERERE70sQUP38JBi9fqDuSPKVXqkBIt1XlYmE3sbGBrVr18azZ88wZ84cuLm5wdHREdWqVYOOjo7S9nmT+ZYtW6rsS9+vXz+MGTNGYX9BELB27Vp4eXnh0aNHcHZ2BgDk5ORg3bp1EAQBCxcuhEQiEfdZs2aNyjzn3LlzuHTpEtzd3TFu3DjxPFlZWVi6dCmOHj2K9u3bw8HB4b2vD308ylwyr07Dhg1D9erV1R1GidHW1hZbT/j6+jKZJyIiItJY6k+SNYWWlhZmzJghNmd/8CD3IYiBgQGcnJzQoUMHdOjQQWVin5/KlSurPE/37t3h5eWFgIAAMZl/9OgRYmNj0bJlS4VEHgAGDx4MHx8fyGQyheWnTp2CoaEhRo8erRCXnp4evv76a9y6dQuXL19mMk8KmMwTERG9g37Sc+i9iUJWBVtIze3UHQ4RlUdaWoh0X8Vm9kVgY2ODJUuWIDQ0FPfu3cOTJ08QFBSEgIAABAQE4MKFC5gzZw709PQKdbysrCycPHkSV65cQVRUFDIyMiAIgrg+Pj5e/Pfz588BAHXr1lU6TqVKlWBtbY2YmBhxWWZmJsLCwmBlZYVDhw4p7ZOdnQ0AiIyMLFSsVH68VzJ/69YtrFq1Cg8ePICenh7at2+PGTNmwMbGRmG7uLg4bNiwARcuXEB0dDRMTEzg6uqKiRMnik+rIiMj0blzZ3EfJycn8d/y/vlSqRT79u2Dj48Pnjx5gri4OFSoUAEuLi4YP3486tWr9z4vR4l8fAAgt2Y7b0yLFy9G3759cejQIcycOROLFy+GlZUVNm7ciEePHsHS0lJsQiOVSrF7924cO3YMoaGh0NLSgrOzM0aOHKnwmgEgNDQU//33H65fv44XL14gLS0N1apVQ5cuXfDdd98p9LHJG0/ef/fp0wdLliwp0WtBRFQadDIS1R2CSDszGVVu/wWjV/fEZemVGyOm+RTIDMzEZTqZ6Xn+nQQdbWmpxJdjaFEq5yGiMkJLC4Kukbqj0Dj29vYKfeADAwOxcuVKBAYG4tSpU+jVq1ehjrN06VLcunUL1apVQ9u2bWFubg5dXV2kpqbC09MTWVlZ4rbp6bnfC2ZmZiqPZW5urpDMp6SkQBAExMXFYd++ffnGkJmZWahYqfwodjLv7++PDRs2oGPHjhgyZAgePHgAT09P+Pn54cCBA6hUqRIAIDw8HEOGDEFMTAzatm0Ld3d3xMXF4ezZs7hy5Qq2b9+Oxo0bw8zMDBMmTMA///wDILfJu5yrqysAICkpCb///juaN2+ODh06wMzMDBEREfD29salS5ewa9cuNGrU6H2uhwJbW1tMmDABHh4esLW1RZ8+fcR18mY0cqdPn8bVq1fRsWNHfPXVV0hNTQWQm8iPHDkSvr6+qFevHvr374+srCxcvHgR48ePx+zZs/HNN9+Ixzl37hwOHjyIli1bwtXVFTKZDPfu3cOmTZtw69Yt7Nq1S3yCOGHCBLEvvLxvvKrYiKjs08pOL3ijcqD24b7qDkEkaGkD+hWQ/tlfkNm6QDvKD4bn5qLWqW+hJfyveWSq9H81M/bHvoKJfunUTD0ZcALIMmDZ+X9McoioMBo0aIDBgwfDw8MD9+/fL1QyHxISglu3bqFp06b45ZdfFJrBP378GJ6engrbGxnl3o+Sk5NVHi8pKUnhb2NjYwCAg4MDli1bVqTXQ+VbsZP5K1euYNGiRRgwYIC4zMPDA2vWrMGKFSvw+++/AwB+/PFHvH79Glu2bEHbtm3Fbb/77jv069cPv/76K44fPw4zMzNMnDhRHFVe1Uj55ubm8PHxQZUqVRSWh4SEYODAgfjrr7+wbdu24r4kJdWrV8fEiRPFZP5do/dfunQJW7duRZs2bRSWr127Fr6+vpg4cSK+//57aP1/86OUlBQMGzYMS5YsQZcuXcTX1Lt3bwwfPhz6+voKx5Ff27xPECdOnCj2hf9YZhYgKq/q/NdT3SHQW7QEGdK7zEOOpBsAIEfSDZmCAMMTU9UcWS55mbFWcxxlRcjg0h84l4g0k6GhodIy+Yj3b/dlB4CXL18CAFxcXJT62T98+FBpezs7OwBAUFCQ0rrXr1/j9evXCsuMjIxQvXp1REZGIjU1VeVo90SqvHuehnewt7dH//79FZaNGjUKVlZWOHHiBKRSKR4+fIi7d+/iiy++UEjk5fsPHDgQwcHBCA4OLtQ59fX1lRJ5AHB0dETLli1x69YthSYupcnd3V0pkZfJZNizZw9q1aqlkMgDgKmpKb7//ntkZWXh3Llz4vIqVaooJfIAxNr769evf6BXQEREb5PZuij8nVO9uZoiISKiwoqJicHJkyfF5u55ZWRkiDXpeVuzmpqaAsjtHvw2a+vcx6aPHj1SWB4eHq6yj7uzszOsra1x69YtpTxnz549yMnJUdqnZ8+eyMzMxNq1a5GRoTw2QkxMDF69eqW0nMq3YtfMN2vWTCE5BXKfctWvXx+XL1/G8+fP4e/vDyD3CdSaNWuUjvHs2TPx/2+P9JifR48eYfPmzfDz88Pr16+VkveEhASVo01+aKqa94eGhiIpKQmVK1eGh4eH0nr5QBny6wDkTnFx8OBBHD58GCEhIXjz5o3CE0J+iIk+Tk8GnFB3CGVCWWuhoB3lJ9bMA4BO5G01RqPoyYATMDe3QFJSorpDISIqMefOnROT5rCwMHFZYGAggNxp5Fq2bPnOY6SlpWHTpk34559/4OzsjJo1a0JfXx9xcXG4ffs2UlJS4ODggJ49//ed4+TkBH19fRw/fhxpaWlif/d+/frB0dERjo6OuHr1KhISEiCRSPD69Wv4+vrCxcVFqbJNR0cHY8eOxeLFizF79my0a9cOFhYWePDgAeLj42FnZye+NrmuXbsiODgYFy5cQFBQEBo3bgxLS0skJSUhMjISISEhmDJlilryHCq7ip3MV6xYUeVyeV/5N2/eiP1BfHx84OPjk++xVD01U+XOnTtiX/q2bdvCzs4OxsbG0NLSwvnz5xEUFASptHQGHnqbquuRmJgIILcbQEhISL775n39ixYtwq5du1C1alW4ubnB2tparKn38PBQ2+sjog+L/X1zPeujXMOhLlWvzoeB1wJIBQE51ZtDJ/I29L0XIr1yY0S3nStul5aeDvzpDgAI7fUvjI1K570UdI0APSMIuhwQiYg+Ho8ePcKFCxcUlgUFBYlN1itXrlxgMl+9enX8+OOP8Pf3R3BwMC5evIiUlBQYGxujRo0aaNWqFbp166bQGrZChQr48ccfsXfvXpw+fVr8zd2vXz/o6Ojgl19+wc6dO3H37l08efIEVatWxfDhw9GsWTOVLWddXFwwd+5c7NmzB1euXIG+vj4aNWqE6dOnY+HChWK/ejktLS1MmjQJLi4uOHfuHG7fvo2MjAyYm5ujatWqGDZsGBo3blysa0ofr2In86qaoAAQ+4BUqFBBbK7y9iBvxbV+/XpIpVL8+++/cHFRbPoobwWgLm+3UgD+11yna9euWL16dYHHiIuLw+7du+Hk5IR9+/YpfMhjY2NV1u4TEX1MytII7S/azUPVa7/BOE8f+TSb5ohu8wtkBubishzZ/34M5hiYI8fQuFTjJCL6mEyaNAmTJk16r2Po6emhdevWaN26dZH2c3FxUcox5MzNzRUGnM5LPubX2xo2bIiGDRsqLEtPT8fLly9Rq1Ytlfu0bdtWqXsyUX6KnczfuXMHgiAoJLEZGRl48OABDA0NYWdnJ/b3uHv3bqGTeW1t7Xz7vYeHh8PCwkLpQ5aenq5y8ImSoq2trbJvS0EcHBxgamqKwMBAZGVlFTiPZUREBARBQJs2bZSe1t2+rbppp3ywjpycHKUBOYiIqPhkBuaI6vQn55knIqIik89Dn/c3fU5ODrZv3w6pVFpg6wKiwij2AHihoaE4cOCAwrLNmzcjPj4ePXv2FJuSNG7cGCdOnMDJkyeVjiGTyeDr66uwzNzcHAkJCSrnUbS1tUVSUpJCk/WcnBz88ccfYv/zD8Hc3FwcxbIodHV1MXjwYERFReGPP/5Q+ZAiODhYbOVQrVo1ALkPP/L2k3/58iWWL1+eb2zybYiIqORJze2QWr0tE3kiIiq06OhofPvtt/jjjz+wfft2/P3335gyZQrOnj2LGjVqKPTXJyquYtfMt2vXDvPnz8fFixdRu3ZtPHjwAFeuXEHVqlUxder/miQuX74cw4YNw5QpU/DPP/+gfv36MDAwwIsXL+Dv74/4+Hjcv39f3L5Vq1YIDAzEuHHj4OLiAn19fTRr1gzNmzfHN998gytXruCrr75C9+7doa+vD19fX8TExMDV1VXpwUBJadWqFU6dOoVJkybB2dkZOjo66NChA5ycnArcd9KkSXj48CF27tyJixcvokWLFrCyskJMTAyCg4MRFBSEffv2oWLFiqhcuTK6du2KM2fOoF+/fmjVqhXi4uLg4+ODVq1aISIiQmVsZ86cweTJk9GhQwcYGBhAIpGgY8eOH+BKEBERERFRQaysrNCmTRs8ePAAd+/eRU5ODqytrdG7d28MGDBA5fR4REVV7GS+SZMmGDduHFauXIkdO3ZAT08PPXv2xIwZM8RB8ACgRo0aOHz4MLZt2wYvLy8cPHgQ2traqFy5Mpo3b45u3bopHHf8+PFITk7GhQsXcOPGDchkMkyYMAHNmzdHp06dsHr1amzYsAHHjh2DoaEhWrVqhbVr12Lt2rXFvwoF+OWXXwAAN27cwLlz5yCTyVCpUqVCJfP6+vrYtGkTDhw4gCNHjuDMmTOQSqWoVKkSHBwcMGjQIIWR/BcvXgxbW1ucOXMGu3btQrVq1TB8+HCMHj0aZ86cUTr+wIEDERUVhZMnT2L9+vXIzs5Gnz59mMwTEREREamJubk5Jk6cqO4w6COnJQiCoO4g1O3nn3/G4cOH4eXlherVq6s7nA9iyJAh8PX1xePHj1Wuv3XrFvT19Qvs109U1lhYWIgzRxCpQ1paGlq0aAEg915qbFx6A+Cx/FN5xbJP5RnL/8cvKyurULMXFLvP/Meoc+fOcHJywp49e9QdSonIzs6Gk5MTnJycPlgXBCIiIiIiIip9xW5m/zFxd3eHra2t+HeDBg3UGE3J0dbWzncKDSIiIiIiItJcH2UyHxkZme98j3lVqFABw4cPh7u7O9zd3UshstKlra3NvjpEREREREQfoY8ymY+KioKHh0eB29na2mL48OEfPiAiIiIiIiKiEvRRJvMtW7bMd6A3IiKiwoh68xQxaRGoYlwDthUc1B0OERERkYKPMpknIiLNk5wZr+4QAAAp0iRse/gbguL9xGV1rVwwot4vMNU3V9o+XZou/vuNNAHZOhkfND4zA6sPenwiIiLSDEzmiYjUJCM7veCNypHvvTurOwQAgLaWNkz0zDC700Y0rNIK92NuYOXVHzHzan/IBJnS9jmZ/5vhdYpPT+gYaH3Q+DZ1uSb+OyNbv1yXI0NdI3WHQEREpDZM5omI1GT0uTbqDoFUkAky/ND2T3Sw7wUA6GDfC4IgYJHPWDVHlovl5n92dr+r7hCIiIjUhsk8ERHRWxpWaaXwdyOb1mqKhIio/IiLi8O1a9fg5+eHqKgoJCYmwtTUFHXr1kWfPn0gkUiKdLxHjx7h+PHjePz4MZKTk2FgYAALCwvUrl0bTZo0gZubm7itt7c31qxZg4kTJyosJyrLmMwTEalJ3ubSVLZqnO/H3BBr5gEg4OV1NUajKG+5sbAwR2JikhqjISIqOSdOnMDhw4dhY2ODxo0bw9zcHNHR0bh58yZ8fX0xdepUtG3btlDH8vb2hoeHB3R0dNCsWTNUrVoVUqkUMTEx8PPzw8OHD5m0k8ZjMk9EpCbs76torZuXukMAAKzx/xGrr82EIAhoZNMaAS+vY831Wahr1RwTm/yhtH16ejrc8CkA4K+OJ2Bk9GHf17zlxlDXGIa60g96PiKi0uLo6IjffvsN9erVU1j+8OFDzJ07F+vXr4erqyv09PTeeZzMzExs3rwZRkZG+P3331GrVi2F9dnZ2QgMDCzx+IlKG5N5IiIqE8rKKO2Tmi7FunuzFPrIN6jUCuMb/44K+pZK2+vmpIn/rqBvCWMD41KJk4joY9O6teouTfXq1UODBg3g7++PsLAw1KlT553HCQsLQ3p6OlxdXZUSeQDQ1dVFkyZNxL9Xr16NCxcuAADWrFmDNWvWiOsOHz4MAHj69Cm8vLwQGBiIuLg4ZGdnw8bGBp988gl69+4NXV3ltCowMBB79uzB06dPoaenh8aNG2P48OFYuXIlHjx4IB5bThAEeHl5wcvLC2FhYcjJyUGNGjXQrVs3uLu7v/M1U/nEZJ6IiCiPCvqW+KnF35xnnoioDNHR0VH4/7tUqFABAPDq1SvIZDJoa2u/c/uWLVsiNTUVvr6+cHV1hb29vdI2Z8+exe3bt1GvXj24uLggMzMTgYGB2LVrF548eYKffvpJYXt/f38sWrQIOjo6aNu2LSwtLREYGIhZs2bBxMRE6fiCIGDlypW4dOkSqlWrhvbt20NPTw/+/v5Yu3YtIiMjMXz48AJfO5UvTOaJiIhUsK3gwCSeiMoMQQAyM9UdRf4MDACtDzQzZ2xsLAICAmBpaYmaNWsWuL2NjQ1q166NZ8+eYc6cOXBzc4OjoyOqVaum8mFA3mS+ZcuWKvvS9+vXD2PGjFHYXxAErF27Fl5eXnj06BGcnZ0BADk5OVi3bh0EQcDChQsVBu5bs2YNvL29lY5/7tw5XLp0Ce7u7hg3bpx4nqysLCxduhRHjx5F+/bt4eDA7yX6HybzRERERERlmCAAs+dZ4nGwvrpDyZeTkxQL5yaUeEKfnZ2NlStXIisrC0OHDi1UzbyWlhZmzJghNmd/8OABAMDAwABOTk7o0KEDOnToUKhjyVWuXFnlebp37w4vLy8EBASIyfyjR48QGxuLli1bKo3AP3jwYPj4+EAmkyksP3XqFAwNDTF69GiFuPT09PD111/j1q1buHz5MpN5UsBknoiIiIiorPtAtd5lmUwmg4eHBx4+fIguXbqgY8eOhd7XxsYGS5YsQWhoKO7du4cnT54gKCgIAQEBCAgIwIULFzBnzpwCB9OTy8rKwsmTJ3HlyhVERUUhIyMDgiCI6+Pj48V/P3/+HABQt25dpeNUqlQJ1tbWiImJEZdlZmYiLCwMVlZWOHTokNI+2dnZAIDIyMhCxUrlB5N5IiIiIqIyTEsLWDg3oVw1sxcEAevWrcPFixfRoUMHjBs3rljHsbe3V+gDHxgYiJUrVyIwMBCnTp1Cr1693rH3/yxduhS3bt1CtWrV0LZtW5ibm0NXVxepqanw9PREVlaWuG16ejoAwMzMTOWxzM3NFZL5lJQUCIKAuLg47Nu3L98YMstyASC1YDJPRERERFTGaWkBhobqjqJ0yGQyrF27Ft7e3mjfvj0mTpxY4CB2hdWgQQMMHjwYHh4euH//fqGS+ZCQENy6dQtNmzbFL7/8otAM/vHjx/D09FTYXj5FaXJyssrjJSUlKfxtbJw7C4qDgwOWLVtWpNdD5VvJfCqIiIiIiIjeU95Evl27dpg8eXKR+rYXhqGKpyLyhwVv92UHgJcvXwIAXFxclGJ5+PCh0vZ2dnYAgKCgIKV1r1+/xuvXrxWWGRkZoXr16oiMjERqamrhXgQRmMwTEREREVEZkDeRb9OmDX744YdiJfIxMTE4efKk2Nw9r4yMDLEmXT5gHQCYmpoCAOLi4pT2sba2BpA7sF1e4eHhKvu4Ozs7w9raGrdu3UJwcLDCuj179iAnJ0dpn549eyIzMxNr165FRkaGytf06tUrpeVUvrGZPRERERERqd3+/fvh7e0NQ0NDVKtWDf/995/SNi1btlQ5D3xeaWlp2LRpE/755x84OzujZs2a0NfXR1xcHG7fvo2UlBQ4ODigZ8+e4j5OTk7Q19fH8ePHkZaWJvZ379evHxwdHeHo6IirV68iISEBEokEr1+/hq+vL1xcXHD9+nWF8+vo6GDs2LFYvHgxZs+ejXbt2sHCwgIPHjxAfHw87OzsEBYWprBP165dERwcjAsXLiAoKAiNGzeGpaUlkpKSEBkZiZCQEEyZMkXlqPpUfjGZJyIiIiIitZPXPGdkZODAgQMqt6lcuXKByXz16tXx448/wt/fH8HBwbh48SJSUlJgbGyMGjVqoFWrVujWrRv09f831V+FChXw448/Yu/evTh9+jSkUimA3GReR0cHv/zyC3bu3Im7d+/iyZMnqFq1KoYPH45mzZopJfNAbpP8uXPnYs+ePbhy5Qr09fXRqFEjTJ8+HQsXLhT71ctpaWlh0qRJcHFxwblz53D79m1kZGTA3NwcVatWxbBhw9C4ceMiXU/6+GkJeedUoHLr1q1b0NfXL/T0HERlhYWFBRITE9UdBpVjaWlpaNGiBYDce6l8IKPSwPJP5RXLPmmq9PR0DB8+HLVq1cKff/5ZrGOw/H/8srKyCvXwhn3miYiIiIiISlBGRoZSn/2cnBxs374dUqkULVu2VFNk9DFhM3siIiIiIqISFB0djVmzZqFJkyaoUqUK0tPT8ejRI0RERKBGjRoK/fWJiovJPBERERERUQmysrJCmzZt8ODBA9y9exc5OTmwtrZG7969MWDAAJXT4xEVFZN5EqmaJoOorMvKykJWVpa6w6ByLDs7W+HfpVkeWf6pvGLZp7LO2NgY48aNy3f9+5Rflv+PX2HzMibzBADQ19eHVCplQk8aJzMzUxxxlkgd8pY/qVRarDmRi4vln8orln0qz1j+SY7JPAEAbG1tIZPJ1B0GUZFZWloiISFB3WFQOZaamir+u0aNGjAxMSm1c7P8U3nFsk/lGcs/yTGZJwCAjo5OqdYmEZUUPT09TqlIapW3/JV2eWT5p/KKZZ/KM5Z/kuPUdEREREREREQahsk8ERERERERkYZhMk9ERERERESkYZjMExEREREREWkYJvNEREREREREGobJPBEREREREZGGYTJPREREREREpGGYzBMRERERERFpGCbzRERERERERBqGyTwRERERERGRhmEyT0RERERERKRhmMwTERERERERaRgm80REREREREQaRlfdARBR2RH6XEBUFGBrC9jbaak7HCIiIiIiygeTeaIyJiFRKPVzJiULWLYc8L/3v2VNGguYPg0wNyvdpN7Sgg8RiIiIiIgKwmSeNE56euknu6Xp8y9K//VpawMmJsCCeVpo3BC4dx9YulzA0OGATFa68Zw7VbTtDQwEjSoTRkZ8WEFERERE74/JPGmcLt01J3HTFDIZMGOaFtw65iaabh0BQQDmzi/9a1309zf+g8TxoVzxYTJPRERERO+PA+AREQCgcUPFv5s0Uk8cRERERERUMNbMk8Y5d+rjrtlUV8uDe/dza+Tl/APUEkaR318LC0skJiZ8oGiIiIiIiMomJvOkcT72PsfHj5T+OWfPFbBipQBByK2R9w8A/loloEljYOH80r3eRX1/jY21kJn5cZcJIiIiIqK3MZknKmPUMZr7ovnA/EWCQh/5Fs2Bub9qwYKjyxMRERERlTlM5okIFhZa+GuZFueZJyIiIiLSEEzmiUhkb6cFezt1R0FERERERAXhaPZEREREREREGobJPBEREREREZGGYTJPREREREREpGGYzBMRERERERFpmBJP5g8dOgQnJyfxvylTppT0KYpFHtehQ4fUHUqp+uSTTxTej8jISHWHRERERERERO/pg41m37lzZzg7O8PR0fFDnYIKYcSIEUhJScH58+cRFBSk7nCIiIiIiIioBHywZN7d3R19+/b9UIenQhoxYgQAICoqisk8ERERERHRR4LzzBMRtOKeQDsxHDKLmhAq1lF3OEREREREVIBSTeaHDBkCX19fPHjwABs2bMDBgwfx6tUr2NraYujQofj666+V9klPT8fmzZtx4sQJREVFwcjICE2aNMG4cePQrFkzpe0TExOxYsUKnD9/HqmpqahTpw7GjRv3zriCgoKwYcMG3Lp1C4mJibC2toabmxsmTJgAS0tLpe337t2LnTt3Ijw8HFZWVujZsycmT56MRo0awdXVFTt37lR6zffv38fff/8NT09PvHjxAuPGjcPEiRMBABEREVi/fj2uXr2K169fw8LCAu3atcPEiRNha2urdP6ibk8aJC2+dM+XngjD83OhG3VbXJRt2xwZ7vMBI4vSjQUAjK1K/5xERERERBpILTXzU6dORUBAAD755BNoa2vj1KlTWLBgAfT09DBw4EBxO6lUiuHDh8Pf3x/169fHsGHDEBcXh1OnTuHq1av466+/8Omnn4rbp6enY8iQIQgODkbTpk3RokULREdHY8qUKWjbtq3KWLy8vPDDDz9AR0cHbm5usLGxwdOnT7Fr1y5cuXIF+/fvh7m5ubj9qlWrsG7dOlhbW+PLL7+Ejo4OTp8+jWfPnr3zNU+YMAFBQUFo164dzM3NUaNGDQDAvXv3MHLkSKSnp6NTp06oWbMmoqKicPz4cVy6dAn79u0Tty3O9h+NrDR1R1AqTNerLqcfiqClDehXQPpnf0Fm6wLtKD8YnpsLkx2fQ0uQlWosAJAy0a/I+whSfc0oH3rG6o6AiIiIiD4iaknmX758CU9PT5iamgIAhg4dis8//xxbt25VSOY3bdoEf39/fP7551i6dCm0tLQAAMOGDcOAAQPw66+/ok2bNuJxNm/ejODgYAwcOBALFy4Uj/PFF19g5MiRSnEkJCTgxx9/hJWVFfbs2YNq1aqJ6zw9PTFt2jSsXr0as2fPBgCEhoZiw4YNqFatGg4dOiTW2k+aNAlffvnlO1/zq1evcOzYMVhYWIjLsrKyMGXKFMhkMhw8eBB169YV192+fRtDhw7Fb7/9hvXr1xdr+4+J6RoXdYfwUdISZEjvMg85km4AgBxJN2QKAgxPTFVLPMV5n7MBmJZ8KCUuZeojdYdARERERB8RtcwzP3XqVDEBB4DatWujWbNmCA0NRUpKirj88OHD0NPTw/Tp08VEHgDq1q2LPn36ICkpCV5eXuLyI0eOQE9PD5MmTVI4X7t27dC6dWulOI4ePYqUlBRMnTpVIZEHgM8++wz169fHiRMnxGUnTpxATk4ORowYodD83sTEBN999907X/PEiRMVEnkA8PHxQVRUFEaNGqWQmANA8+bN0blzZ1y8eFG8JkXdnqgwZLaKCXRO9eZqioSIiIiIiApLLTXz9evXV1pWpUoVAMCbN29gamqKlJQUREREwMHBATY2Nkrbt2zZEvv27UNQUBB69+6NlJQUREZGok6dOrC2tlbavnnz5rh+/brCMn9/fwC5TdfDw8OV9snMzERCQgLi4+NhZWUljgbftGlTpW1VLcurUaNGSsvk53/27BnWrFmjtD42NhYymQyhoaFo2LBhkbf/mBSn+bUmUkcLBO0oP7FmHgB0Im+/Y+sPqzjvs4WFBRITE0s+GCIiIiKiMkwtyXyFChWUlunq5oaSk5MDAGLtcsWKFVUeo1KlSgByk/+821tZqR5AS9VxkpKSAAC7d+9+Z7zp6ekFnkMeT35UrZef//jx44U6f1G3/6iUk/7GKeOulur5DI9PhoHXQkgFATnVm0Mn8jb0vRchu3oLZHy2slRjAVCs91lL3wTQk36AYIiIiIiIyq4yOzWdvBl+XFycyvXy5fLt5P+Pj1c9Griq48j3OX78OCQSSaFjio+PVxo1/vXr1+/cN283gbePt379enTq1KnQ5y/s9qSBSnk094xeq2F4crpCH/nsWm2Q0WMZYKQ8kwMREREREZUNaukzXximpqaoUaMGwsPDERMTo7Te19cXAMS+46ampqhevTrCwsIQGxurtP3t28pNh+VN3+XN1wsiP9fdu3eV1qlaVpCinr+o2xMVyMgSGf22IHXYcaT3XovUYceR0W8LE3kiIiIiojKuzCbzQO4o9FlZWVi+fDkEQRCXBwcH49ChQ6hQoQLc3d3F5b1790ZWVhZWr16tcJwrV64o9ZcHgH79+sHExAR//fUXQkJClNanp6crJM49evSAtrY2tm/fjoSEBHF5WlpasUaQd3d3R7Vq1bBt2zbcunVLaX1WVpbCQ4iibk9UWELFOshxcINQsY66QyEiIiIiokIos83sAWD06NG4ePEijh49iqdPn6J169aIj4/HqVOnkJ2djT/++ENhVPxRo0bh3Llz2L9/P0JCQsR55k+fPo2OHTvCx8dH4fhWVlZYsWIFJk+ejN69e6N9+/aoXbs2MjMz8eLFC/j6+qJp06bYsmULgNxR98eMGYP169fj888/R7du3aCrq4uzZ89CIpEgODhYZXP6/Ojr62PVqlUYPXo0vvnmG7Ru3RqOjo4AgOjoaNy+fRsWFhY4ffp0sbYnIiIiIiKij1OZTuYNDAzwzz//YNOmTTh58iS2b98OIyMjNG/eHGPHjkXz5opTaBkbG2Pnzp1YsWIFzp07h4cPH6JOnTr466+/8ObNG6VkHgA6duyIw4cPY8uWLbh+/TquXr0KY2NjVKlSBX379kWvXr0Utp8yZQqqVKmCXbt2Ye/evahYsSJ69OiBYcOG4cKFCwoPFwqjUaNGOHbsGDZv3oxLly7Bz88P+vr6qFKlCtzd3dGzZ8/32p6IiIiIiIg+PlpC3vbrJeDQoUOYOXMmFi9ejL59+5bkocu0a9euYcSIERg1ahRmzJih7nCU/Pzzzzh8+DC8vLxQvXp1pfV5uw0QaRJLS0uWX1Kr1NRU1KhRAwAQEREBExOTUjs3yz+VVyz7VJ6x/JcPlpYFj2H1wfrMz5w5E05OTpgyZcqHOoVaxMfHi9PnySUnJ2P58uUAoNCHvyz45JNP4OTkhMOHD6s7FCIiIiIiIiohJd7M3tnZGRMmTBD/lvfp/lgcO3YMW7duRatWrVC5cmXExsbi8uXLiIuLQ9++fdG0aVN1h6hgxIgRSElJEf82MzNTYzRERERERERUEj5IMu/s7FzShy0zmjVrhps3b+LatWtISkqCjo4OateujfHjx+Orr75Sd3hKRowYoe4QiIiIiIiIqISV6QHwyqJGjRrh77//VncYREREREREVI4xmSciUVjCY0S9eQ7bCnaoZemk7nCIiIiIiCgfTOaJyqDE9Neler7kzASsvDoDATE3xGWNqrTCD22Xwsyg4JE0S5KFUaVSPR8RERERkSZiMk8aKz0rVd0hfDD99zQo1fNpa2nDRM8MszttRMMqrXA/5gZWXv0Row53gEyQlWosx4c8LdL2hln6GlUWjPRKb9oyIiIiIvp4MZknjfX5Tgd1h/DRkAky/ND2T3Sw7wUA6GDfC4IgYJHP2FKP5WN/X89/+1LdIRARERHRR+CDzTNPRJqlYZVWCn83smmtpkiIiIiIiKggrJknjVXU5tiaRB210/djbog18wAQ8PJ6qccAFP19tbS0REJCwgeKhoiIiIiobGIyTxrrY+57fGBwYKmeb4H3KKy+PhOCIKCRTWsEvLyONTdmoZFNa8zptKlUYynq+2qkZ4IMPekHioaIiIiIqGxiMk9UBpX2iO5zO2/B7z7jFfrIu1TrgFkd18HcsGKpxkJERERERAVjMk9EMDesiD+67eM880REREREGoLJPBGJalk6MYknIiIiItIAHM2eiIiIiIiISMMwmSciIiIiIiLSMEzmiYiIiIiIiDQMk3kiIiIiIiIiDcNknoiIiIiIiEjDMJknIiIiIiIi0jBM5omIiIiIiIg0DJN5IiIiIiIiIg3DZJ6IiIiIiIhIwzCZJyIiIiIiItIwTOaJiIiIiIiINAyTeSIiIiIiIiINw2SeiIiIiIiISMPoqjsAKhtycnIgk8nUHQZRkWVlZSErK0vdYVA5lrf8lXZ5ZPmn8opln8ozln+SYzJPAICoqChIpVJ1h0FUZImJiUhKSlJ3GFSOpaeni/+OiIiAkZFRqZ2b5Z/KK5Z9Ks9Y/suHypUrF7gNk3kCAEilUujo6EBHR0fdoRAViYGBAfT19dUdBpVjOTk54r/19fVLtTyy/FN5xbJP5RnL/8cv72+Ld2EyTyIdHR3o6empOwyiItHT02O5JbXK29RRV1e3VMsjyz+VVyz7VJ6x/JMcB8AjIiIiIiIi0jBM5omIiIiIiIg0DJN5IiIiIiIiIg3DZJ6IiIiIiIhIwzCZJyIiIiIiItIwTOaJiIiIiIiINAyTeSIiIiIiIiINw2SeiIiIiIiISMMwmSciIiIiIiLSMEzmiYiIiIiIiDQMk3kiIiIiIiIiDcNknoiIiIiIiEjD6Ko7ACIiIiIiVSIidfDypS5sbLJRo3qOusMhIipTmMwTERERkZKkZC21nftNihY2bTbHw0f64rJ6zlKMHpWECqYCgNKLz9xMKJXzEBEVFZN5IiIioiLIyFB3BKVj1NjKaju3tjZgYgIsmKeFxg2Be/eBpcv1MW2GNWQy+ValE9/ObTGlcp6yxNBQ3REQUWEwmSciIiIqgiEjqqg7hI+eTAbMmKYFt465te9uHQFBAObOL/1a8vL4fv+3p/w9wCDSRBwAj4iIiIjKnMYNFf9u0kg9cRARlVWsmSciIiIqgvLS7FrdNdL37ufWyMv5B6gnjvLyfhOR5mEyT0RERFQE5aU/8eYNr9R27hUrLbDiLz0IgjaaNMpN5P9aKUM95yxM/SER5mbmSEpOKpVYysv7TUSah8k8ERERESlR5yju035IxCoPC8yd/7/R7Bs1zMLkCYkwMxNgYQEAHGWeiMo3JvNEREREVKaYmQmYPSuB88wTEb0Dk3kiIiIiKpNqVM9hEk9ElA+OZk9ERERERESkYZjMExEREREREWkYJvNEREREREREGobJPBEREREREZGGYTJPREREREREpGHKXDJ/6NAhODk5if9NmTJF3SGVCCcnJwwZMuSDHX/NmjVwcnLCzZs3xWVhYWEK19LNze2DnZ+IiIiIiIhKT5mdmq5z585wdnaGo6OjukPRWObm5pgwYQIA4J9//lFzNERERERERFRSymwy7+7ujr59+6o7jBJz8uRJGBkZleo5LSwsMHHiRADA4cOHS/XcRERERO9LP+k59N5EIauCLaTmduoOh4ioTCmzyfzHxsHBQd0hEBERERWJTkaiWs6rnZmMKrf/gtGre+Ky9MqNEdN8CmQGZtBKF6CTkVQqseQYWpTKeYiIikqjkvkhQ4bA19cX9+/fh4eHB44dO4b4+HjUqVMH06dPR5s2bZCSkoKVK1fizJkzSExMRL169fDrr7+iYcOGCse6ceMGjh49ijt37uDVq1cAAHt7e3z55Zf48ssvlc7t5OQEV1dXLFu2DH/99RcuX76MuLg4sfn60KFDMWHCBLRr1w4eHh64d+8e3rx5g8ePHyvsv3PnToXjSqVS7N69G8eOHUNoaCi0tLTg7OyMkSNHonPnzkpxREdHY+nSpbhy5QqysrJQv359TJ48uUSuLxERESnSyk5XdwhqVfuwelpJClragH4FpH/2F2S2LtCO8oPhubmodepbaAkyAEClUorlyYATpXSmskHQLd2WpERUfBqVzMv98MMPCA4OhpubGzIyMnD8+HGMHTsWe/fuxZw5cyCVStG1a1ckJCTg5MmTGDVqFLy8vGBqaioeY9OmTQgPD0fjxo1hY2OD5ORkXLlyBXPmzEFoaCh+/vlnpfMmJibiyy+/hLm5Obp3746srCyYmpoiJSUFAHD37l1s2LABLVu2xMCBAxEdHf3O1yGVSjFy5Ej4+vqiXr166N+/P7KysnDx4kWMHz8es2fPxjfffCNu/+rVK3z55ZeIiYlBu3btUL9+fTx9+hQjRoxAy5YtS+jqEhERkVyd/3qqO4RySUuQIb3LPORIugEAciTdkCkIMDwxtdRjKW9lIGSwt7pDIKJC0shkPiEhAceOHYOxsTEAoF27dpgyZQqGDx+ONm3aYPny5dDVzX1pdevWxbJly3DgwAEMHz5cPMa8efNQo0YNheNmZ2djzJgx2LFjB4YOHYpq1aoprA8ODkbfvn2xaNEi6OjoiMvlI8hfvXoVv/32G/r371+o17F27Vr4+vpi4sSJ+P7776GlpQUASElJwbBhw7BkyRJ06dIFVapUAQCsWLECMTEx+OGHH/Ddd9+Jx9m3bx/mzJlTqHMSERERaQKZrYvC3znVm6spEiKiskkjk/kpU6aIiTwAdO3aFXp6ekhOTsZPP/0kJvIA8Nlnn2HZsmUICgpSOMbbiTwA6OrqYtCgQbh69Spu3ryJPn36KKzX09PDjBkzFBL5vOS164Uhk8mwZ88e1KpVSyGRBwBTU1N8//33+O6773Du3Dl88803kEqlOHnyJCpWrIhvv/1W4VgDBgzA1q1b8fz580Kdm4iIiAqnvDWxfps6a6W1o/zEmnkA0Im8rZY4ynsZIKKySyOT+Xr16in8raOjAysrK6SnpyvVpltbWwMAYmJiFJanpKRg69atOH/+PCIiIpCWlqawXt6PPq/q1avDysoq37je7pf/LqGhoUhKSkLlypXh4eGhtD4+Ph4A8OzZM3H7zMxMtGrVCgYGBgrbamtro1mzZkzmiYiISlh57z/8rM8htZy36tX5MPBaAKkgIKd6c+hE3oa+90KkV26M6LZzYWZujuSk0hkAr7yXASIquzQymc/b911OV1cXFSpUULkcyG1CLyeVSjF06FA8ePAA9erVQ69evWBhYQFdXV1ERUXh8OHDkEqlSseqVOndQ60UtD6vxMREAEBISAhCQkLy3S49PXfgnTdv3gAAKlasqHK7/JYTERERFZe6RnJ/0W4eql77DcZ5+sin2TRHdJtfIDMwh2BkgZxMrXccgYjo46eRyfz78vLywoMHDzBgwAAsWrRIYd2JEyfynZM9b1P44qzPS/5AomvXrli9enWB28sfVMTFxalcn99yIiIiIk0jMzBHVKc/Oc88EdE7lMtkPiIiAgDg5uamtO727dLpj+Xg4ABTU1MEBgYiKysLenp679ze3t4eBgYGCAwMRGZmpkJTe5lMhjt37nzokImIiIhKldTcjkk8EVE+tNUdgDrI+9X7+fkpLPf19cV///1XKjHo6upi8ODBiIqKwh9//IGsrCylbYKDg8Uad319fXTv3h1xcXHYunWrwnb//fcf+8sTERERERGVI+WyZr5Tp06wtbXF5s2bERISAkdHR4SGhsLHxwfu7u44c+ZMqcQxadIkPHz4EDt37sTFixfRokULWFlZISYmBsHBwQgKCsK+ffvE/vDTpk3D9evXsXLlSvj5+aFevXp4+vQpLl68iHbt2uHKlSulEjcRERERERGpV7msmTcxMcE///yDrl274v79+9i9ezdevXqFZcuW4euvvy61OPT19bFp0yYsWLAAlSpVwpkzZ/DPP//g9u3bsLa2xrx58yCRSMTtK1eujL1796JHjx64d+8eduzYgcTERGzbtg1NmjQptbiJiIiIiIhIvbQEQRDUHURehw4dwsyZM7F48WL07dtX3eF8NOTjA3h7e6tcf+vWLejr6xfYd5+orLGwsBBnhyBSh7S0NLRo0QJA7r3U2Ni41M7N8k/lFcs+lWcs/x+/rKwsNG7cuMDtymzN/MyZM+Hk5IQpU6aoOxSNFRYWBicnJzg5OSEqKkrd4RAREREREVEJKXN95p2dnTFhwgTxb0dHRzVGo9nMzc0VrqV8ejsiIiIiIiLSbGUymXd2dlZ3GB8FCwsLTJw4Ud1hEBERERERUQkrs83siYiIiIiIiEi1MlczT0RERETlW9Sbp4hJi0AV4xqwreCg7nCIiMokJvNEREREpCA5M14t502RJmHbw98QFO8nLqtr5YIR9X6Bqb65uEwrIwfJmUmlEpOZgVWpnIeIqKiYzBMRERHlIyM7Xd0hqMX33p3Vcl5tLW2Y6JlhdqeNaFilFe7H3MDKqz9i5tX+kAkytcS0qcs1tZy3NBnqGqk7BCIqBibzRERERPkYfa6NukMoV2SCDD+0/RMd7HsBADrY94IgCFjkM1ZtMZWHMrCz+111h0BExcAB8IiIiIiozGhYpZXC341sWqspEiKiso0180RERET5KA9NrFVRZ230/ZgbYs08AAS8vK62WIDyWwaIqOxjMk9ERESUj/Lal3itm5dazrvG/0esvjYTgiCgkU1rBLy8jjXXZ6GuVXNMbPKHuJ25uTmSkkpnALzyWgaIqOxjMk9ERERECtQ1gvukpkux7t4shT7yDSq1wvjGv6OCvqW4zNzQAkKGjjpCJCIqM5jMExEREVGZUEHfEj+1+JvzzBMRFQKTeSIiIiIqU2wrODCJJyIqAEezJyIiIiIiItIwTOaJiIiIiIiINAyTeSIiIiIiIiINw2SeiIiIiIiISMMwmSciIiIiIiLSMEzmiYiIiIiIiDQMk3kiIiIiIiIiDcNknoiIiIiIiEjDMJknIiIiIiIi0jBM5omIiIiIiIg0DJN5IiIiIiIiIg3DZJ6IiIiIiIhIwzCZJyIiIiIiItIwTOaJiIiIiIiINAyTeSIiIiIiIiINw2SeiIiIiIiISMMwmSciIiIiIiLSMEzmiYiIiIiIiDQMk3kiIiIiIiIiDcNknoiIiIiIiEjDMJknIiIiIiIi0jBM5omIiIiIiIg0DJN5IiIiIiIiIg3DZJ6IiIiIiIhIw+iqOwAqO3JyctQdAlGRZWVlISsrS91hUDmWnZ2t8O/SLI8s/1ResexTecby//ErbF7GZJ4AAPr6+pBKpUzoSeNkZmZCKpWqOwwqx/KWP6lUCh0dnVI7N8s/lVcs+1SesfyTHJN5AgDY2tpCJpOpOwyiIrO0tERCQoK6w6ByLDU1Vfx3jRo1YGJiUmrnZvmn8opln8ozln+SYzJPAAAdHZ1SrU0iKil6enrQ09NTdxhUjuUtf6VdHln+qbxi2afyjOWf5DgAHhEREREREZGGYTJPREREREREpGGYzBMRERERERFpGCbzRERERERERBqGyTwRERERERGRhmEyT0RERERERKRhmMwTERERERERaRgm80REREREREQahsk8ERERERERkYZhMk9ERERERESkYZjMExEREREREWkYJvNEREREREREGobJPBEREREREZGGYTJPREREREREpGGYzBMRERERERFpGCbzRERERERERBqGyTwRERERERGRhmEyT0RERERERKRhmMwTERERERERaRgm80REREREREQahsk8ERERERERkYZhMk9ERERERESkYZjMExEREREREWkYJvNEREREREREGkZX3QEQERERERFR+RX6XEBUFGBrC9jbaak7HI3BZJ6IiIiIiIg+iIREId91SckCli0H/O/9b1mTxgKmTwPMzVQn9ZYWTPblmMwTERERERGRgvT0/JPwovj8i/yPo60NmJgAC+ZpoXFD4N59YOlyAUOHAzKZ6v3OnSqRsGBkpPkPBZjMExERERERkYIu3UsmmX8XmQyYMU0Lbh1zE2u3joAgAHPn53/ukorrio/mJ/McAI+IiIiIiIjUonFDxb+bNFJPHJqINfNERERERESk4Nypkqm5Lqgm/d793Bp5Of+Adx+vpOL6GDCZJyIiIiIiIgUl1af8+JH8182eK2DFSgGCkFsj7x8A/LVKQJPGwML5qs//MfR1LylM5omIiIiIiOiDeNfo84vmA/MXCQp95Fs0B+b+qgULjlpfICbzREREREREVOosLLTw1zItzjNfTEzmiYiIiIiISG3s7bRgb6fuKDQPR7MnIiIiIiIi0jBM5omIiIiIiIg0DJN5IiIiIiIiIg3DZJ6IiIiIiIhIwzCZJyIiIiIiItIwTOaLycnJCUOGDFF3GERERERERFQOMZknIiIiIiIi0jCcZ76YTp48CSMjI3WHQUREREREROUQk/licnBwUHcIREREREREGk8r7gm0E8Mhs6gJoWIddYejMZjMq3DmzBns3LkTT58+RUpKCqysrFCnTh0MHjwY7u7uAHL7zLu6umLnzp0K+0ZGRmLZsmW4du0asrKyUL9+fUyePBk3btyAh4cHduzYgZYtWwIAbt68iaFDh2LChAlo27Yt/vrrLwQGBsLAwADdunXDzz//DENDQ1y6dAnr1q1DUFAQjI2N0adPH0ydOhU6Ojried+8eYM9e/bg0qVLeP78ORITE2FhYYE2bdpgwoQJqFmzZuldQCIiIiIiIgBIi89/XXoiDM/PhW7UbXFRtm1zZLjPB4wsVO9jbFWy8WkwJvNv+ffffzF//nxYW1ujS5cusLCwQGxsLAICAnD+/HkxmVclJiYGgwYNQmxsLDp06IC6desiNDQU3377rZjAq3Lv3j1s2rQJ7dq1w6BBg3Dz5k3s2bMHKSkp6Ny5M37++We4ubmhcePG8PHxwebNm2FqaorvvvtOPMbTp0+xevVqtGzZEl26dIGRkRGePXsGT09PXLx4EYcOHYKtrW2JXisiIiIiIvoIZaWV2KFM17fNd52gpQ3oV0D6Z39BZusC7Sg/GJ6bC5Mdn0NLkKncJ2Wi3/sFpGf8fvuXIUzm33LgwAHo6enh2LFjsLJSfOqTkJDwzn2XLVuG2NhY/Pjjjxg5cqS4/NChQ5g5c2a++12+fBlr164VHxRkZWWhX79+8PT0xJUrV7Bz5040atQIADBx4kR8+umn2L59O0aPHg1d3dy30MHBAVeuXIGFhYXCsW/cuIERI0bg77//xqJFiwp9HYiIiIiIqHwyXeNSKufREmRI7zIPOZJuAIAcSTdkCgIMT0z9YLGlTH30XvuXJRzNXgU9PT0xSc7L0tIy332kUilOnz6NSpUqKU1Z16dPH9SuXTvffV1dXRVq/PX09NC1a1cIgoBOnTqJiTwAmJqaomPHjkhMTMTLly/F5RUqVFBK5AGgVatWqFOnDq5du5bv+YmIiIiIiNRBZquYnOdUb66mSDQPa+bf0q1bNyxfvhyfffYZevbsCVdXV7i4uMDMzOyd+z179gxSqRQNGjSAvr6+wjotLS00adIEz549U7lvvXr1lJZVrlwZAODs7Ky0ztraGkBus/7q1auLy2/evIl//vkHAQEBSEhIQHZ2trhOT0/vnfETEREREREBJdCUPY+CatK1o/zEmnkA0Im8/Y6tSzY2Tcdk/i2jR4+GpaUl9uzZg23btmHr1q3Q1dXFJ598glmzZqFGjRoq90tJSQEApab5cpUqVcr3nKampkrL5IPbqVonbzWQN1k/deoUpkyZAmNjY7Rr1w62trYwMjKClpYWDh8+jKioqHzPT0REREREJCrBfuUp467mu87w+GQYeC2EVBCQU705dCJvQ997EbKrt0DGZys/eGyajsn8W7S0tDBgwAAMGDAACQkJ8PPzg6enJ06dOoWwsDAcP35cYRR5OXnSHR+verTG169ff9C4PTw8YGBggEOHDsHOzk5h3YkTJz7ouYmIiIiIiFR6x+jzGb1Ww/DkdIU+8tm12iCjxzLAKP8uzpSLyfw7WFpawt3dHe7u7khISMCNGzcQFhamsv977dq1oa+vjwcPHkAqlSo0tRcEAffu3fugsYaHh8PR0VEpkY+JiUFERMQHPTcREREREVGRGVkio98WzjNfTBwA7y2XL19WaL4O5I4un5SUBAAwNDRUuZ++vj66du2K2NhYpbnnjxw5gqdPn36YgP9ftWrVEBYWptACIDMzE/PmzVN6PURERERERGWFULEOchzcmMgXEWvm3zJlyhQYGhrCxcUF1apVQ3Z2Nq5du4YnT56gR48eqFatWr77Tps2DdevX8eff/6JmzdvwtnZGaGhobhw4QLat2+Py5cvQ1v7wzw/GTJkCBYuXIgvvvgC3bp1E+MWBAF169ZFUFDQBzkvERERERERlT7WzL9l6tSpaNiwIe7fv4/du3fj2LFjMDExwYIFC7B06dJ37lu1alXs3bsX3bp1w507d/DPP/8gLi4OW7duRa1atQCoHtCuJHz99deYP38+LCwssH//fpw/fx4tWrTA3r17CxyJn4iIiIiIiDSLliAIgrqDKA8GDx4Mf39/3L59GyYmJv/X3v3HVF33fRx/gZx1CSgXiVg6fvgLByqSF4qGzS4vBqZIZqBcuitbuUpNJ5upt3Xfzbu0brWhgGlSOXctGrNwUa5JrplkgjRzXCRgJD/yqvw1EegAHsb3/qP7nJsTBypAT9/j87GdKZ/P58j7sPdXzut8f7m7nG6uX7/u7hKAPgkMDKR/4VY//fST404n33333W39P57+x52K3sedjP6/MwQG/voFANkzP8AuX77cbaywsFBnzpzR/fff/4cM8gAAAAAAc+Gc+QG2YMECRUZGaty4cfL29lZlZaVOnz4tPz8/bdiwwd3lAQAAAAA8AGF+gKWnp+vTTz9VRUWFWltbFRgYqOTkZK1atUpjx451d3kAAAAAAA9AmB9gGRkZysjIcHcZAAAAAAAPRpgHAAAAALhN/fVq/bu5TqOGhCsscIK7yzENwjwAAAAA4JZobL3a41xT+3XtOvmcyi+VOMaiR8zQuvgdGnqX66u5/3lw0IDXaFaEeQAAAACAS622n/r1/NR3J/U45+3lLT/LUP3nX/dr8ogZ+telEu06uUErDs9Wp9Hp8jkf/uPbftVjN9hi/ruMEeYBAAAAAC4t+Oetu4h3p9GpdfHbNXt0iiRp9ugUGYahl48/fcvrOfbEjwPy77gT95kHAAAAALjF5BEznL6OvmemmyoxH/bMAwAAAABc6u9h7b+2J/1fl0oce+YlqfzHU7e0Hk9CmAcAAAAAuNTfc8vf+3tFj3P//ekKZZ36DxmGoeh7Zqr8x1PKLtms6Htm6r/+mntL6vEkhHkAAAAAwC3R29XnX/zbW9p2fJXTOfJ/GTlbmx98XQF/GnY7yjM1wjwAAAAA4LYL+NMw/c/cfO4z30eEeQAAAACA24QFTiDE9wFXswcAAAAAwGQI8wAAAAAAmAxhHgAAAAAAkyHMAwAAAABgMoR5AAAAAABMhjAPAAAAAIDJEOYBAAAAADAZwjwAAAAAACZDmAcAAAAAwGQI8wAAAAAAmAxhHgAAAAAAkyHMAwAAAABgMoR5AAAAAABMhjAPAAAAAIDJEOYBAAAAADAZL8MwDHcXAQAAAAAAfjv2zAMAAAAAYDKEeQAAAAAATIYwDwAAAACAyRDmAQAAAAAwGcI8AAAAAAAmQ5gHAAAAAMBkfNxdAAD8XuXl5crOztbZs2dls9k0btw4LV++XAsWLHB3aYCTS5cu6eOPP9aJEyd04cIFXb16VQEBAZo6dapWrFihKVOmdHtOS0uLsrOzVVRUpCtXrmj48OFKTEzUmjVr5O/v7/L7fPjhhzp48KBqampksVgUExOjtWvXavLkyS7X19XVKTMzU6WlpbJarQoLC9OSJUu0dOlSeXvzOT9ujdzcXO3cuVOSlJ+fr5iYmG5r6H94mk8++UR5eXk6d+6cWltbFRQUpJiYGD333HO69957HevoffQF95kHYCqlpaV68sknZbFYNH/+fA0ZMkRFRUW6ePGiMjIy9Mwzz7i7RMBh586dys3NVWhoqKZNm6Zhw4apvr5ex44dk2EYeu211zRv3jzHeqvVqqVLl6qyslLx8fGKiopSVVWViouLFRkZqby8PPn6+jp9j3379ikzM1MjR45UUlKSrFarjhw5ovb2dr311luKi4tzWl9TU6P09HS1tbVp7ty5GjFihE6cOKHz589r8eLFeumll27LzwZ3lm+//VYLFy6Uj4+PrFaryzBP/8OTGIahF198Ufn5+QoNDdWsWbPk5+eny5cvq6ysTDt27FBsbKwkeh/9YACASdhsNiMhIcGYNGmS8fXXXzvGm5ubjfnz5xtRUVFGbW2t+woEfuHo0aNGWVlZt/GysjJj4sSJxvTp04329nbH+O7du42IiAhj+/btTuvt47t373Yar62tNaKioozExESjqanJMX7+/HljypQpRkJCgmGz2Zyes2zZMiMiIsI4fvy4Y+zmzZvG8uXLjYiICOPUqVP9es3AL3V0dBiPPvqokZqaaqxfv96IiIgwvvrqq27r6H94koMHDxoRERHGli1bjI6Ojm7zXXuT3kdfcTwFANMoKSlRQ0ODkpOTFRUV5Rj39/fXqlWr1NHRoYKCAjdWCDhLTEx07HnpKjY2VnFxcWpsbFR1dbWkn/fiHDp0SL6+vlq9erXT+qeffloBAQF67733ZHQ5oK6goEAdHR1auXKlhgwZ4hgfP368Hn74YTU0NKikpMQxXltbq7KyMsXFxWn27NmOcYvFooyMDEnSoUOHBubFA/8nNzdXVVVV2rZtmwYNGuRyDf0PT9LW1qY9e/YoJCREmzdvdtn3Pj4/n+1M76M/CPMATOP06dOSpFmzZnWbi4+Pd1oD/NHZ38jZ/6yrq9Ply5c1derUbodT3nXXXYqNjdWlS5dUX1/vGLf3u73/u3rggQckSWVlZd3Wu9qGoqOjNXToULYhDKjz588rJydHK1eu1Pjx43tcR//Dk5w8eVKNjY1KSEhQZ2enioqKtH//fr377rtOPSzR++gfLoAHwDTq6uokSWFhYd3mAgICFBgY2O2XJPBH9P333+uLL77Q8OHDFRERIUmO3g0PD3f5HHvf19fXO9bU1dXJ19dXw4cP73G9fbvp+ndX25CXl5dCQ0NVUVGh1tZWDR48uC8vDXDo6OjQpk2bNHbsWD311FO9rqX/4UkqKiokSYMGDVJKSopqa2sdc97e3nr88ce1ceNGSfQ++oc98wBMo6WlRZKcDinryt/fX83NzbezJOB3s9ls2rBhg27evKn169c7Dr+0925PVy22j3ft8ZaWll63B/uaruul3rehX34PoK/27dun6upqbdu2TRaLpde19D88ybVr1yRJBw4ckL+/vw4dOqQzZ87onXfeUXh4uN5++23l5eVJovfRP4R5AABuk87OTm3evFllZWVavHixFi5c6O6SgFuiqqpK+/bt0xNPPKGJEye6uxzgtrKf326xWLRnzx5FR0fLz89PsbGxysrKkre3tw4cOODmKuEJCPMATOPXPjnu7ZNqwN0Mw9ALL7ygwsJCpaSkaMuWLU7z9t7tujelK1d7Vno7GsW+vuvent+yDf3yOUBfbNy4USEhIVqzZs1vWk//w5PYe2jSpEkaMWKE09z48eMVEhKihoYGNTU10fvoF8I8ANOwnyvm6rz4Gzdu6Pr16y7PBwPczb5H/v3331dycrJeffVVeXs7/wp2dZ5jV/a+79rj4eHhslqtunLlSo/ru56H2ds2ZBiGGhoaFBwc3O0iTMDvVVVVpQsXLmjy5MmaMGGC43H48GFJ0pIlSzRhwgQdO3ZMEv0PzzJmzBhJPR/Wbh9va2uj99EvhHkApjFt2jRJ0ueff95t7uTJk5Kk6dOn39aagF/T2dmp559/XgUFBZo3b562b9/u8jZF4eHhCg4O1pkzZ2S1Wp3m2tvb9eWXXyo4ONjpDZ19m7D3f1fFxcVOa6T/3z5cbUPl5eVqampiG8KASE1Ndfmwh4o5c+YoNTVVo0aNkkT/w7PExcVJki5cuNBtzmazqaGhQb6+vrr77rvpffQLYR6AacycOVMhISH66KOPVFlZ6RhvaWnR66+/Lh8fHz3yyCNurBBw1jXIz507Vzt27OjxPtteXl5KS0uT1WrVnj17nObeeOMN3bhxQ2lpafLy8nKML1q0SD4+Ptq7d6/T4ZPffPONPvjgA4WGhmrGjBmO8dGjR2vatGkqLS3VZ5995hi32WzatWuXJCktLW0gXjrucFu3bnX5uO+++yT9fP/srVu3KjIyUhL9D88SGhqqWbNmqb6+vtv92/fv36+mpiYlJCTIx8eH3ke/eBn2KzQAgAmUlJRoxYoVslgsSk5Olr+/v4qKinTx4kWtW7dOK1eudHeJgEN2drZycnLk6+urxx57zHFP+a4SEhIcgcZqtWrp0qWqrKxUfHy8Jk6cqKqqKp04cUKRkZHKy8vrdhjk3r17tWvXLo0cOVJJSUmyWq06cuSI2tvb9eabbzq9oZOkmpoapaenq62tTQ899JCCg4NVXFys6upqpaWl6eWXX751PxDc8TZt2qTDhw8rPz9fMTExTnP0PzxJQ0OD0tPTde3aNT344IMaM2aMzp07p5KSEo0aNUr5+fmOW8vR++grwjwA0ykvL1dWVpbOnj0rm82mcePGafny5UpJSXF3aYATe3DpzSuvvKJFixY5vm5ublZOTo6OHj2qq1evKigoSElJSXr22Wd7PP+ysLBQBw8eVE1NjSwWi2JiYrR27VpFR0e7XF9bW6vMzEyVlpbKarUqLCxMS5Ys0bJly7qdyw8MpN7CvET/w7P88MMPysrKUnFxsRobGxUUFKQ5c+Zo9erVGjZsmNNaeh99QZgHAAAAAMBk+AgGAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMkQ5gEAAAAAMBnCPAAAAAAAJkOYBwAAAADAZAjzAAAAAACYDGEeAAAAAACTIcwDAAAAAGAyhHkAAAAAAEyGMA8AAAAAgMn8LwlyWjfFhWTUAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3226,7 +3212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "metadata": {
     "tags": [
      "hide-input"
@@ -3266,58 +3252,58 @@
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">1-stage-model</th>\n",
        "      <th>alpha_trt</th>\n",
-       "      <td>-1.361</td>\n",
-       "      <td>0.139</td>\n",
-       "      <td>-1.611</td>\n",
-       "      <td>-1.085</td>\n",
+       "      <td>-1.360</td>\n",
+       "      <td>0.136</td>\n",
+       "      <td>-1.607</td>\n",
+       "      <td>-1.096</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[treat]</th>\n",
-       "      <td>1592.521</td>\n",
-       "      <td>585.065</td>\n",
-       "      <td>451.033</td>\n",
-       "      <td>2635.694</td>\n",
+       "      <td>1596.367</td>\n",
+       "      <td>592.252</td>\n",
+       "      <td>522.004</td>\n",
+       "      <td>2698.841</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[nodegree]</th>\n",
-       "      <td>-456.112</td>\n",
-       "      <td>491.911</td>\n",
-       "      <td>-1373.904</td>\n",
-       "      <td>462.734</td>\n",
+       "      <td>-478.468</td>\n",
+       "      <td>494.181</td>\n",
+       "      <td>-1411.118</td>\n",
+       "      <td>431.650</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_[married]</th>\n",
-       "      <td>3940.202</td>\n",
-       "      <td>512.239</td>\n",
-       "      <td>2959.725</td>\n",
-       "      <td>4871.510</td>\n",
+       "      <td>3941.883</td>\n",
+       "      <td>521.193</td>\n",
+       "      <td>2935.781</td>\n",
+       "      <td>4905.149</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>beta_ps</th>\n",
-       "      <td>0.714</td>\n",
-       "      <td>29.863</td>\n",
-       "      <td>-56.989</td>\n",
-       "      <td>57.170</td>\n",
+       "      <td>1.515</td>\n",
+       "      <td>30.782</td>\n",
+       "      <td>-59.159</td>\n",
+       "      <td>56.783</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>alpha_outcome</th>\n",
-       "      <td>4316.138</td>\n",
-       "      <td>377.346</td>\n",
-       "      <td>3650.349</td>\n",
-       "      <td>5084.753</td>\n",
+       "      <td>4318.250</td>\n",
+       "      <td>369.288</td>\n",
+       "      <td>3624.124</td>\n",
+       "      <td>5022.575</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>6569.967</td>\n",
-       "      <td>150.008</td>\n",
-       "      <td>6304.689</td>\n",
-       "      <td>6862.834</td>\n",
+       "      <td>6567.379</td>\n",
+       "      <td>152.789</td>\n",
+       "      <td>6262.905</td>\n",
+       "      <td>6837.376</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -3416,13 +3402,13 @@
       ],
       "text/plain": [
        "                                       mean       sd    hdi_3%   hdi_97%  \\\n",
-       "1-stage-model     alpha_trt          -1.361    0.139    -1.611    -1.085   \n",
-       "                  beta_[treat]     1592.521  585.065   451.033  2635.694   \n",
-       "                  beta_[nodegree]  -456.112  491.911 -1373.904   462.734   \n",
-       "                  beta_[married]   3940.202  512.239  2959.725  4871.510   \n",
-       "                  beta_ps             0.714   29.863   -56.989    57.170   \n",
-       "                  alpha_outcome    4316.138  377.346  3650.349  5084.753   \n",
-       "                  sigma            6569.967  150.008  6304.689  6862.834   \n",
+       "1-stage-model     alpha_trt          -1.360    0.136    -1.607    -1.096   \n",
+       "                  beta_[treat]     1596.367  592.252   522.004  2698.841   \n",
+       "                  beta_[nodegree]  -478.468  494.181 -1411.118   431.650   \n",
+       "                  beta_[married]   3941.883  521.193  2935.781  4905.149   \n",
+       "                  beta_ps             1.515   30.782   -59.159    56.783   \n",
+       "                  alpha_outcome    4318.250  369.288  3624.124  5022.575   \n",
+       "                  sigma            6567.379  152.789  6262.905  6837.376   \n",
        "2-stage-model     beta_[treat]     1588.023  560.154   606.842  2705.402   \n",
        "                  beta_[nodegree]  -459.243  493.565 -1378.890   456.611   \n",
        "                  beta_[married]   3938.877  513.101  2988.612  4920.545   \n",
@@ -3456,7 +3442,7 @@
        "                  sigma              1.0  "
       ]
      },
-     "execution_count": 31,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3490,12 +3476,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x400 with 1 Axes>"
       ]
@@ -3526,7 +3512,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -3617,7 +3603,7 @@
        "4   40     0    0              20        19   4.989251"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3629,7 +3615,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "metadata": {
     "tags": [
      "hide-output"
@@ -3648,7 +3634,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "3439c2f49e164092872630d725a3b5b9",
+       "model_id": "3fc469410746442c8563b91bac34d174",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3673,9 +3659,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 58 seconds.\n",
-      "/Users/nathanielforde/mambaforge/envs/CausalPy/lib/python3.13/site-packages/pymc/data.py:384: FutureWarning: Data is now always mutable. Specifying the `mutable` kwarg will raise an error in a future release\n",
-      "  warnings.warn(\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 56 seconds.\n",
       "Sampling: [alpha_trt, beta_trt_std, t_pred]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -3685,7 +3669,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c97a34db1f0847f09fc196cf326aa869",
+       "model_id": "cf458ef84a9c4f789969455961520ee7",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3710,7 +3694,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 38 seconds.\n",
+      "Sampling 4 chains for 2_000 tune and 2_000 draw iterations (8_000 + 8_000 draws total) took 40 seconds.\n",
       "Sampling: [alpha_outcome, beta_ps, beta_ps_spline, beta_std, like, sigma]\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
@@ -3720,7 +3704,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "70a42cc0a7bd4bcba86322a84d9d7f1b",
+       "model_id": "4ac5c095af1c4b91b4f7647195e0bac1",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3754,7 +3738,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "88c612e911b348cab2326f116eb6060a",
+       "model_id": "dad8c22d444345e2b4e6b916e6d44ea2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -3885,7 +3869,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -3916,12 +3900,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Here we see the model specifications start to come apart slightly. "
+    "Here we see the model specifications start to come apart slightly, although the effect of feedback seems to primarily influence the impact of age on the outcome rather than the treatment estimate. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 35,
    "metadata": {
     "tags": [
      "hide-input"
@@ -4241,7 +4225,7 @@
        "                  alpha_outcome            1.0  "
       ]
      },
-     "execution_count": 36,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4265,7 +4249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -4294,7 +4278,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 37,
    "metadata": {
     "tags": [
      "hide-output"
@@ -4316,10 +4300,10 @@
     {
      "data": {
       "text/plain": [
-       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x1773117f0>"
+       "<causalpy.experiments.inverse_propensity_weighting.InversePropensityWeighting at 0x29d4acd70>"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4363,7 +4347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -4400,7 +4384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 39,
    "metadata": {
     "tags": [
      "hide-output"
@@ -4439,7 +4423,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -4709,7 +4693,7 @@
        "beta_[trt]              40864.0   30723.0    1.0  "
       ]
      },
-     "execution_count": 41,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4720,7 +4704,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -4777,14 +4761,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: Sat Jul 19 2025\n",
+      "Last updated: Tue Jul 29 2025\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.13.5\n",
@@ -4793,13 +4777,13 @@
       "pytensor: 2.31.7\n",
       "xarray  : 2025.7.0\n",
       "\n",
-      "patsy     : 1.0.1\n",
-      "causalpy  : 0.4.2\n",
+      "matplotlib: 3.10.3\n",
       "arviz     : 0.21.0\n",
+      "pandas    : 2.3.1\n",
+      "causalpy  : 0.4.2\n",
+      "patsy     : 1.0.1\n",
       "pymc      : 5.23.0\n",
       "numpy     : 2.3.1\n",
-      "pandas    : 2.3.1\n",
-      "matplotlib: 3.10.3\n",
       "\n",
       "Watermark: 2.5.0\n",
       "\n"