diff --git a/myst.yml b/myst.yml
index 842a87e3..25887842 100644
--- a/myst.yml
+++ b/myst.yml
@@ -17,9 +17,6 @@ project:
       children:
         - file: notebooks/xbatcher_dataloading.ipynb
         - file: notebooks/xbatcher_reconstruction.ipynb
-    - title: Testing model inference
-      children:
-        - file: notebooks/inference-testing.ipynb
     - title: Example with topography data
       children:
         - file: notebooks/autoencoder.ipynb
diff --git a/notebooks/autoencoder.ipynb b/notebooks/autoencoder.ipynb
index 134c8e5c..e9d92890 100644
--- a/notebooks/autoencoder.ipynb
+++ b/notebooks/autoencoder.ipynb
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -59,8 +59,6 @@
     "if os.name == 'nt':\n",
     "    import osgeo\n",
     "\n",
-    "from importlib import reload\n",
-    "\n",
     "# DL stuff\n",
     "import matplotlib.pyplot as plt\n",
     "import torch\n",
@@ -99,534 +97,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "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",
-       "<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",
-       ":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 (band: 1, y: 3600, x: 3600)&gt; Size: 104MB\n",
-       "array([[[0.23102867, 0.23608769, 0.23988196, ..., 0.10581788,\n",
-       "         0.10961214, 0.11298482],\n",
-       "        [0.23229342, 0.2386172 , 0.24283305, ..., 0.11045531,\n",
-       "         0.11340641, 0.1163575 ],\n",
-       "        [0.23102867, 0.23819562, 0.24325464, ..., 0.11467116,\n",
-       "         0.1163575 , 0.11804384],\n",
-       "        ...,\n",
-       "        [0.00252951, 0.00252951, 0.00252951, ..., 0.03752108,\n",
-       "         0.03625632, 0.03752108],\n",
-       "        [0.00252951, 0.00252951, 0.00252951, ..., 0.03625632,\n",
-       "         0.03499157, 0.03878583],\n",
-       "        [0.0029511 , 0.0029511 , 0.0029511 , ..., 0.03667791,\n",
-       "         0.03625632, 0.04005059]]], shape=(1, 3600, 3600))\n",
-       "Coordinates:\n",
-       "  * band         (band) int64 8B 1\n",
-       "  * x            (x) float64 29kB -124.0 -124.0 -124.0 ... -123.0 -123.0 -123.0\n",
-       "  * y            (y) float64 29kB 48.0 48.0 48.0 48.0 ... 47.0 47.0 47.0 47.0\n",
-       "    spatial_ref  int64 8B 0</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 1</li><li><span class='xr-has-index'>y</span>: 3600</li><li><span class='xr-has-index'>x</span>: 3600</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-201f167f-4ba5-4042-8874-ee60008fef8b' class='xr-array-in' type='checkbox' checked><label for='section-201f167f-4ba5-4042-8874-ee60008fef8b' 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>0.231 0.2361 0.2399 0.2437 0.2462 ... 0.0371 0.03668 0.03626 0.04005</span></div><div class='xr-array-data'><pre>array([[[0.23102867, 0.23608769, 0.23988196, ..., 0.10581788,\n",
-       "         0.10961214, 0.11298482],\n",
-       "        [0.23229342, 0.2386172 , 0.24283305, ..., 0.11045531,\n",
-       "         0.11340641, 0.1163575 ],\n",
-       "        [0.23102867, 0.23819562, 0.24325464, ..., 0.11467116,\n",
-       "         0.1163575 , 0.11804384],\n",
-       "        ...,\n",
-       "        [0.00252951, 0.00252951, 0.00252951, ..., 0.03752108,\n",
-       "         0.03625632, 0.03752108],\n",
-       "        [0.00252951, 0.00252951, 0.00252951, ..., 0.03625632,\n",
-       "         0.03499157, 0.03878583],\n",
-       "        [0.0029511 , 0.0029511 , 0.0029511 , ..., 0.03667791,\n",
-       "         0.03625632, 0.04005059]]], shape=(1, 3600, 3600))</pre></div></div></li><li class='xr-section-item'><input id='section-b8d5be01-5d29-4cea-90d5-cc083eeb199a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b8d5be01-5d29-4cea-90d5-cc083eeb199a' class='xr-section-summary' >Coordinates: <span>(4)</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'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-b35b7054-09b8-4160-914c-db0b080b4caf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b35b7054-09b8-4160-914c-db0b080b4caf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a74d0521-4913-4c29-ae1b-db517fb1670e' class='xr-var-data-in' type='checkbox'><label for='data-a74d0521-4913-4c29-ae1b-db517fb1670e' 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([1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-124.0 -124.0 ... -123.0 -123.0</div><input id='attrs-9f0c5402-7e39-427c-8bc3-b2ce56c01c0b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f0c5402-7e39-427c-8bc3-b2ce56c01c0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-934c9a6d-fbd7-4a37-ba48-ccb8f514d08a' class='xr-var-data-in' type='checkbox'><label for='data-934c9a6d-fbd7-4a37-ba48-ccb8f514d08a' 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([-124.      , -123.999722, -123.999444, ..., -123.000833, -123.000556,\n",
-       "       -123.000278], shape=(3600,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.0 48.0 48.0 ... 47.0 47.0 47.0</div><input id='attrs-a4a87a29-62f0-4335-8309-f1fbaa3d8522' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4a87a29-62f0-4335-8309-f1fbaa3d8522' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d58bcce0-4377-4a45-bc6c-9e66aa7ac173' class='xr-var-data-in' type='checkbox'><label for='data-d58bcce0-4377-4a45-bc6c-9e66aa7ac173' 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([48.      , 47.999722, 47.999444, ..., 47.000833, 47.000556, 47.000278],\n",
-       "      shape=(3600,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-059518fb-bb60-4d0d-b2c3-eb47c0db3d66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-059518fb-bb60-4d0d-b2c3-eb47c0db3d66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11886686-5c45-4772-b843-c7fcae28abaf' class='xr-var-data-in' type='checkbox'><label for='data-11886686-5c45-4772-b843-c7fcae28abaf' 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'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-124.000138888889 0.000277777777777778 0.0 48.0001388888889 0.0 -0.000277777777777778</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-85a1622b-923c-4985-8127-fbcdab9c2a88' class='xr-section-summary-in' type='checkbox'  ><label for='section-85a1622b-923c-4985-8127-fbcdab9c2a88' class='xr-section-summary' >Indexes: <span>(3)</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>band</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4b442541-2f11-437f-b618-e88f1824e34f' class='xr-index-data-in' type='checkbox'/><label for='index-4b442541-2f11-437f-b618-e88f1824e34f' 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([1], dtype=&#x27;int64&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ce3d03f8-11af-47a8-b520-03b0b7365d7a' class='xr-index-data-in' type='checkbox'/><label for='index-ce3d03f8-11af-47a8-b520-03b0b7365d7a' 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([-124.00000000000011, -123.99972222222233, -123.99944444444456,\n",
-       "       -123.99916666666678,   -123.998888888889, -123.99861111111123,\n",
-       "       -123.99833333333345, -123.99805555555567,  -123.9977777777779,\n",
-       "       -123.99750000000012,\n",
-       "       ...\n",
-       "        -123.0027777777779, -123.00250000000011, -123.00222222222233,\n",
-       "       -123.00194444444456, -123.00166666666678,   -123.001388888889,\n",
-       "       -123.00111111111123, -123.00083333333345, -123.00055555555566,\n",
-       "        -123.0002777777779],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=3600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-df0b067b-bdfd-40c4-8560-6f5ed004735d' class='xr-index-data-in' type='checkbox'/><label for='index-df0b067b-bdfd-40c4-8560-6f5ed004735d' 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([ 48.00000000000001,  47.99972222222223,  47.99944444444445,\n",
-       "       47.999166666666675,   47.9988888888889,  47.99861111111112,\n",
-       "        47.99833333333334,  47.99805555555556, 47.997777777777785,\n",
-       "        47.99750000000001,\n",
-       "       ...\n",
-       "        47.00277777777779, 47.002500000000005,  47.00222222222223,\n",
-       "        47.00194444444445,  47.00166666666667,   47.0013888888889,\n",
-       "       47.001111111111115,  47.00083333333334, 47.000555555555565,\n",
-       "        47.00027777777778],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=3600))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ede42601-2477-4e1b-b1da-02df23bc93a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ede42601-2477-4e1b-b1da-02df23bc93a3' 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 (band: 1, y: 3600, x: 3600)> Size: 104MB\n",
-       "array([[[0.23102867, 0.23608769, 0.23988196, ..., 0.10581788,\n",
-       "         0.10961214, 0.11298482],\n",
-       "        [0.23229342, 0.2386172 , 0.24283305, ..., 0.11045531,\n",
-       "         0.11340641, 0.1163575 ],\n",
-       "        [0.23102867, 0.23819562, 0.24325464, ..., 0.11467116,\n",
-       "         0.1163575 , 0.11804384],\n",
-       "        ...,\n",
-       "        [0.00252951, 0.00252951, 0.00252951, ..., 0.03752108,\n",
-       "         0.03625632, 0.03752108],\n",
-       "        [0.00252951, 0.00252951, 0.00252951, ..., 0.03625632,\n",
-       "         0.03499157, 0.03878583],\n",
-       "        [0.0029511 , 0.0029511 , 0.0029511 , ..., 0.03667791,\n",
-       "         0.03625632, 0.04005059]]], shape=(1, 3600, 3600))\n",
-       "Coordinates:\n",
-       "  * band         (band) int64 8B 1\n",
-       "  * x            (x) float64 29kB -124.0 -124.0 -124.0 ... -123.0 -123.0 -123.0\n",
-       "  * y            (y) float64 29kB 48.0 48.0 48.0 48.0 ... 47.0 47.0 47.0 47.0\n",
-       "    spatial_ref  int64 8B 0"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Rasterio adds a blank edge. Trim these out.\n",
     "dem = rioxarray.open_rasterio(\"../ASTGTMV003_N47W124_dem.tif\")\n",
@@ -644,30 +117,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.image.AxesImage at 0x28841e3ec10>"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dem.isel(band=0).plot.imshow(cmap=\"terrain\")"
    ]
@@ -682,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -701,17 +153,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Input tensor shape: torch.Size([16, 1, 32, 32])\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "X = next(iter(loader))\n",
     "\n",
@@ -724,91 +168,12 @@
    "source": [
     "## Model setup\n",
     "\n",
-    "Here we instantiate the autoencoder class and verify that the output shape is what we expect. Autoencoders compress input data to a latent space and then reconstruct the input from the compressed representation. Usually, we are interested in the compressed result, but during training we are trying to recreate the input exactly. Therefore, the output tensor should match the shape of the input tensor.\n",
-    "\n",
-    "Input tensor:\n",
-    "\n",
-    "<svg width=\"177\" height=\"167\" style=\"stroke:rgb(0,0,0);stroke-width:1\"> <!-- Horizontal lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"27\" y2=\"17\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"10\" y1=\"100\" x2=\"27\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"100\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon points=\"10.0,0.0 27.578209484906253,17.578209484906253 27.578209484906253,117.57820948490625 10.0,100.0\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Horizontal lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"110\" y2=\"0\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"127\" y2=\"17\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"27\" y2=\"17\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"110\" y1=\"0\" x2=\"127\" y2=\"17\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon points=\"10.0,0.0 110.0,0.0 127.57820948490625,17.578209484906253 27.578209484906253,17.578209484906253\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Horizontal lines -->\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"127\" y2=\"17\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"27\" y1=\"117\" x2=\"127\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"117\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"127\" y1=\"17\" x2=\"127\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon\n",
-    "        points=\"27.578209484906253,17.578209484906253 127.57820948490625,17.578209484906253 127.57820948490625,117.57820948490625 27.578209484906253,117.57820948490625\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Text --> <text x=\"77.578209\" y=\"137.578209\" font-size=\"1.0rem\"\n",
-    "        font-weight=\"100\" text-anchor=\"middle\">x: 32</text> <text x=\"147.578209\" y=\"67.578209\" font-size=\"1.0rem\"\n",
-    "        font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,147.578209,67.578209)\">y: 32</text> <text x=\"8.789105\"\n",
-    "        y=\"128.789105\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\"\n",
-    "        transform=\"rotate(45,8.789105,128.789105)\">band: 1</text>\n",
-    "</svg>\n",
-    "\n",
-    "Output tensor:\n",
-    "\n",
-    "<svg width=\"177\" height=\"167\" style=\"stroke:rgb(0,0,0);stroke-width:1\"> <!-- Horizontal lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"27\" y2=\"17\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"10\" y1=\"100\" x2=\"27\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"100\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon points=\"10.0,0.0 27.578209484906253,17.578209484906253 27.578209484906253,117.57820948490625 10.0,100.0\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Horizontal lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"110\" y2=\"0\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"127\" y2=\"17\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"27\" y2=\"17\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"110\" y1=\"0\" x2=\"127\" y2=\"17\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon points=\"10.0,0.0 110.0,0.0 127.57820948490625,17.578209484906253 27.578209484906253,17.578209484906253\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Horizontal lines -->\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"127\" y2=\"17\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"27\" y1=\"117\" x2=\"127\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"117\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"127\" y1=\"17\" x2=\"127\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon\n",
-    "        points=\"27.578209484906253,17.578209484906253 127.57820948490625,17.578209484906253 127.57820948490625,117.57820948490625 27.578209484906253,117.57820948490625\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Text --> <text x=\"77.578209\" y=\"137.578209\" font-size=\"1.0rem\"\n",
-    "        font-weight=\"100\" text-anchor=\"middle\">x: 32</text> <text x=\"147.578209\" y=\"67.578209\" font-size=\"1.0rem\"\n",
-    "        font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,147.578209,67.578209)\">y: 32</text> <text x=\"8.789105\"\n",
-    "        y=\"128.789105\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\"\n",
-    "        transform=\"rotate(45,8.789105,128.789105)\">band: 1</text>\n",
-    "</svg>"
+    "Here we instantiate the autoencoder class and verify that the output shape is what we expect. Autoencoders compress input data to a latent space and then reconstruct the input from the compressed representation. Usually, we are interested in the compressed result, but during training we are trying to recreate the input exactly. Therefore, the output tensor should match the shape of the input tensor.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'<svg width=\"153\" height=\"143\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >  <!-- Horizontal lines -->  <line x1=\"10\" y1=\"0\" x2=\"68\" y2=\"58\" style=\"stroke-width:2\" />  <line x1=\"10\" y1=\"35\" x2=\"68\" y2=\"93\" style=\"stroke-width:2\" />  <!-- Vertical lines -->  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"35\" style=\"stroke-width:2\" />  <line x1=\"68\" y1=\"58\" x2=\"68\" y2=\"93\" style=\"stroke-width:2\" />  <!-- Colored Rectangle -->  <polygon points=\"10.0,0.0 68.82352941176471,58.82352941176471 68.82352941176471,93.8317713259397 10.0,35.00824191417499\" style=\"fill:#ECB172A0;stroke-width:0\"/>  <!-- Horizontal lines -->  <line x1=\"10\" y1=\"0\" x2=\"45\" y2=\"0\" style=\"stroke-width:2\" />  <line x1=\"68\" y1=\"58\" x2=\"103\" y2=\"58\" style=\"stroke-width:2\" />  <!-- Vertical lines -->  <line x1=\"10\" y1=\"0\" x2=\"68\" y2=\"58\" style=\"stroke-width:2\" />  <line x1=\"45\" y1=\"0\" x2=\"103\" y2=\"58\" style=\"stroke-width:2\" />  <!-- Colored Rectangle -->  <polygon points=\"10.0,0.0 45.00824191417499,0.0 103.8317713259397,58.82352941176471 68.82352941176471,58.82352941176471\" style=\"fill:#ECB172A0;stroke-width:0\"/>  <!-- Horizontal lines -->  <line x1=\"68\" y1=\"58\" x2=\"103\" y2=\"58\" style=\"stroke-width:2\" />  <line x1=\"68\" y1=\"93\" x2=\"103\" y2=\"93\" style=\"stroke-width:2\" />  <!-- Vertical lines -->  <line x1=\"68\" y1=\"58\" x2=\"68\" y2=\"93\" style=\"stroke-width:2\" />  <line x1=\"103\" y1=\"58\" x2=\"103\" y2=\"93\" style=\"stroke-width:2\" />  <!-- Colored Rectangle -->  <polygon points=\"68.82352941176471,58.82352941176471 103.8317713259397,58.82352941176471 103.8317713259397,93.8317713259397 68.82352941176471,93.8317713259397\" style=\"fill:#ECB172A0;stroke-width:0\"/>  <!-- Text -->  <text x=\"86.327650\" y=\"113.831771\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >10</text>  <text x=\"123.831771\" y=\"76.327650\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,123.831771,76.327650)\">10</text>  <text x=\"29.411765\" y=\"84.420007\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,29.411765,84.420007)\">50</text></svg>'"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import dask.array.svg as svg\n",
-    "from IPython.display import HTML \n",
-    "\n",
-    "svg.svg(((50,), (10,), (10,)), size=100).replace(\"\\n\", \"\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -818,17 +183,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "torch.Size([16, 1, 32, 32])\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "out = m(X)\n",
     "print(out.shape)\n",
@@ -898,27 +255,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<All keys matched successfully>"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "m.load_state_dict(torch.load(\"../autoencoder.torch\", weights_only=True))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -933,20 +279,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 8 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, axes = plt.subplots(2, n_examples)\n",
     "\n",
@@ -976,24 +311,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "  0%|          | 0/3136 [00:00<?, ?it/s]"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 3136/3136 [00:51<00:00, 60.50it/s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "dem_reconst = functions.predict_on_array(\n",
     "    dataset=ds,\n",
@@ -1001,36 +321,16 @@
     "    output_tensor_dim=dict(band=1, y=32, x=32),\n",
     "    new_dim=[],\n",
     "    core_dim=[\"band\"],\n",
-    "    resample_dim=[\"x\", \"y\"]\n",
+    "    resample_dim=[\"x\", \"y\"],\n",
+    "    progress_bar=False\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.image.AxesImage at 0x2882ac1c690>"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dem_reconst.isel(band=0).plot.imshow(cmap=\"terrain\")"
    ]
@@ -1044,20 +344,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "err = (dem_reconst - dem)\n",
     "err.isel(band=0).plot.imshow()\n",
@@ -1066,20 +355,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "err.plot.hist()\n",
     "plt.show()"
@@ -1103,17 +381,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Input shape: torch.Size([16, 1, 32, 32])\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "bgen_no_overlap = xbatcher.BatchGenerator(\n",
     "    dem.isel(x=slice(8, -8), y=slice(8, -8)),\n",
@@ -1142,17 +412,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Output shape: torch.Size([16, 1, 1, 64])\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "def infer_with_encoder(x):\n",
     "    return m.encoder(x)[:, None, None, :]\n",
@@ -1165,80 +427,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To be clear, we started with the usual x/y/band tensor from the input dataset.\n",
-    "\n",
-    "<svg width=\"177\" height=\"167\" style=\"stroke:rgb(0,0,0);stroke-width:1\"> <!-- Horizontal lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"27\" y2=\"17\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"10\" y1=\"100\" x2=\"27\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"100\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon points=\"10.0,0.0 27.578209484906253,17.578209484906253 27.578209484906253,117.57820948490625 10.0,100.0\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Horizontal lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"110\" y2=\"0\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"127\" y2=\"17\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"27\" y2=\"17\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"110\" y1=\"0\" x2=\"127\" y2=\"17\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon points=\"10.0,0.0 110.0,0.0 127.57820948490625,17.578209484906253 27.578209484906253,17.578209484906253\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Horizontal lines -->\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"127\" y2=\"17\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"27\" y1=\"117\" x2=\"127\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"27\" y1=\"17\" x2=\"27\" y2=\"117\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"127\" y1=\"17\" x2=\"127\" y2=\"117\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon\n",
-    "        points=\"27.578209484906253,17.578209484906253 127.57820948490625,17.578209484906253 127.57820948490625,117.57820948490625 27.578209484906253,117.57820948490625\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Text --> <text x=\"77.578209\" y=\"137.578209\" font-size=\"1.0rem\"\n",
-    "        font-weight=\"100\" text-anchor=\"middle\">x: 32</text> <text x=\"147.578209\" y=\"67.578209\" font-size=\"1.0rem\"\n",
-    "        font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,147.578209,67.578209)\">y: 32</text> <text x=\"8.789105\"\n",
-    "        y=\"128.789105\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\"\n",
-    "        transform=\"rotate(45,8.789105,128.789105)\">band: 1</text>\n",
-    "</svg>\n",
-    "\n",
-    "...and end up with a tensor that has singleton x/y dimensions and a new, 64-element channel dimension.\n",
-    "\n",
-    "<svg width=\"141\" height=\"131\" style=\"stroke:rgb(0,0,0);stroke-width:1\"> <!-- Horizontal lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"68\" y2=\"58\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"10\" y1=\"23\" x2=\"68\" y2=\"81\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"23\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"68\" y1=\"58\" x2=\"68\" y2=\"81\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon\n",
-    "        points=\"10.0,0.0 68.82352941176471,58.82352941176471 68.82352941176471,81.8863520766876 10.0,23.062822664922887\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Horizontal lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"33\" y2=\"0\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"68\" y1=\"58\" x2=\"91\" y2=\"58\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"10\" y1=\"0\" x2=\"68\" y2=\"58\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"33\" y1=\"0\" x2=\"91\" y2=\"58\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon\n",
-    "        points=\"10.0,0.0 33.06282266492289,0.0 91.8863520766876,58.82352941176471 68.82352941176471,58.82352941176471\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Horizontal lines -->\n",
-    "    <line x1=\"68\" y1=\"58\" x2=\"91\" y2=\"58\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"68\" y1=\"81\" x2=\"91\" y2=\"81\" style=\"stroke-width:2\" /> <!-- Vertical lines -->\n",
-    "    <line x1=\"68\" y1=\"58\" x2=\"68\" y2=\"81\" style=\"stroke-width:2\" />\n",
-    "    <line x1=\"91\" y1=\"58\" x2=\"91\" y2=\"81\" style=\"stroke-width:2\" /> <!-- Colored Rectangle -->\n",
-    "    <polygon\n",
-    "        points=\"68.82352941176471,58.82352941176471 91.8863520766876,58.82352941176471 91.8863520766876,81.8863520766876 68.82352941176471,81.8863520766876\"\n",
-    "        style=\"fill:#ECB172A0;stroke-width:0\" /> <!-- Text --> <text x=\"80.354941\" y=\"101.886352\" font-size=\"1.0rem\"\n",
-    "        font-weight=\"100\" text-anchor=\"middle\">y: 1</text> <text x=\"111.886352\" y=\"70.354941\" font-size=\"1.0rem\"\n",
-    "        font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,111.886352,70.354941)\">x: 1</text> <text x=\"29.411765\"\n",
-    "        y=\"72.474587\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\"\n",
-    "        transform=\"rotate(45,29.411765,72.474587)\">channel: 64</text>\n",
-    "</svg>\n",
+    "To be clear, we started with the usual x/y/band tensor from the input dataset, and end up with a tensor that has singleton x/y dimensions and a new, 64-element channel dimension.\n",
     "\n",
     "We can go through the same process as before to see how we put together the `predict_on_array` call. Both the `x` and `y` dimensions change size and are used by the batch generator, so they go in `resample_dims`. The remaining dimension, `channel`, is a new dimension and goes in the `new_dim` list."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|██████████| 784/784 [00:10<00:00, 75.65it/s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "latent_dim_cube = functions.predict_on_array(\n",
     "    dataset=ds_no_overlap,\n",
@@ -1246,660 +444,16 @@
     "    output_tensor_dim=dict(y=1, x=1, channel=64),\n",
     "    new_dim=[\"channel\"],\n",
     "    core_dim=[],\n",
-    "    resample_dim=[\"x\", \"y\"]\n",
+    "    resample_dim=[\"x\", \"y\"],\n",
+    "    progress_bar=False\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "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",
-       "<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",
-       ":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 (y: 112, x: 112, channel: 64)&gt; Size: 6MB\n",
-       "array([[[-2.98959292e-01,  1.64430934e-01,  1.15438255e-02, ...,\n",
-       "         -8.08710732e-03,  3.30118317e-02, -5.46855937e-04],\n",
-       "        [-2.24567760e-03,  9.47532182e-02, -3.34303832e-02, ...,\n",
-       "         -6.48077535e-03,  8.64085204e-04, -1.95042637e-02],\n",
-       "        [-2.29584158e-02, -1.93482539e-01, -2.64102204e-02, ...,\n",
-       "         -5.21691757e-02, -2.33358999e-03, -1.43376856e-03],\n",
-       "        ...,\n",
-       "        [-7.14939087e-01,  3.34519677e-02, -1.22026729e-01, ...,\n",
-       "         -4.24666117e-02,  1.09958167e-01, -2.81837341e-02],\n",
-       "        [-1.44703043e+00, -6.82025516e-03, -1.32837495e-01, ...,\n",
-       "          1.01037129e-01,  1.24011525e-01,  2.93925781e-02],\n",
-       "        [-1.88280569e+00,  1.58894039e-01,  1.94406669e-01, ...,\n",
-       "          2.02963516e-01, -1.02580176e-01, -2.27122382e-02]],\n",
-       "\n",
-       "       [[-3.11284028e-01,  4.57395907e-02, -5.93765944e-02, ...,\n",
-       "          9.89407912e-02,  6.95664992e-03, -2.08061733e-02],\n",
-       "        [-8.16732126e-02,  2.07674481e-01,  5.54563779e-02, ...,\n",
-       "         -3.88096709e-02,  3.14765790e-02, -7.57243798e-04],\n",
-       "        [-1.09194994e-01, -5.78870165e-03,  8.61930280e-02, ...,\n",
-       "          2.35724309e-02,  4.35084485e-02,  6.65596484e-04],\n",
-       "...\n",
-       "         -1.84319850e-01,  5.72853962e-02,  1.05324888e-01],\n",
-       "        [-2.57522762e+00,  4.06043765e-01,  2.18213096e-01, ...,\n",
-       "          2.16262191e-01,  2.44147664e-01, -2.79635558e-02],\n",
-       "        [-4.53882925e+00, -3.61320565e-01,  9.88348282e-02, ...,\n",
-       "         -9.99270161e-02, -1.89315409e-01,  7.27320120e-02]],\n",
-       "\n",
-       "       [[-5.32383745e+00, -2.59905275e-01, -9.42536151e-02, ...,\n",
-       "         -1.14359197e-01, -7.32243057e-02, -1.17779599e-01],\n",
-       "        [-4.61458548e+00, -3.59844762e-01,  1.96055190e-01, ...,\n",
-       "         -9.51545225e-02, -2.07306574e-01, -1.21820868e-01],\n",
-       "        [-4.43024026e+00, -1.50307160e-01, -2.68508102e-01, ...,\n",
-       "          2.49489361e-02, -2.64294322e-01, -1.70129536e-02],\n",
-       "        ...,\n",
-       "        [-1.79788969e+00, -4.62374302e-01,  3.78449074e-02, ...,\n",
-       "         -1.45970427e-01, -1.10146726e-01, -3.16941288e-02],\n",
-       "        [-1.89689242e+00,  1.96203432e-01,  1.83354633e-02, ...,\n",
-       "         -1.92172321e-01,  7.78421414e-02, -5.74109845e-02],\n",
-       "        [-4.11928259e+00, -7.79838400e-01, -1.65173175e-01, ...,\n",
-       "          1.25174990e-01, -2.02087485e-01, -2.00104178e-02]]],\n",
-       "      shape=(112, 112, 64))\n",
-       "Coordinates:\n",
-       "  * y        (y) float64 896B 48.0 47.99 47.98 47.97 ... 47.04 47.03 47.02 47.01\n",
-       "  * x        (x) float64 896B -124.0 -124.0 -124.0 ... -123.0 -123.0 -123.0\n",
-       "Dimensions without coordinates: channel</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 112</li><li><span class='xr-has-index'>x</span>: 112</li><li><span>channel</span>: 64</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-61b7de07-fa0c-4fe5-b88a-43151ee202f5' class='xr-array-in' type='checkbox' checked><label for='section-61b7de07-fa0c-4fe5-b88a-43151ee202f5' 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>-0.299 0.1644 0.01154 0.05633 ... 4.882 0.1252 -0.2021 -0.02001</span></div><div class='xr-array-data'><pre>array([[[-2.98959292e-01,  1.64430934e-01,  1.15438255e-02, ...,\n",
-       "         -8.08710732e-03,  3.30118317e-02, -5.46855937e-04],\n",
-       "        [-2.24567760e-03,  9.47532182e-02, -3.34303832e-02, ...,\n",
-       "         -6.48077535e-03,  8.64085204e-04, -1.95042637e-02],\n",
-       "        [-2.29584158e-02, -1.93482539e-01, -2.64102204e-02, ...,\n",
-       "         -5.21691757e-02, -2.33358999e-03, -1.43376856e-03],\n",
-       "        ...,\n",
-       "        [-7.14939087e-01,  3.34519677e-02, -1.22026729e-01, ...,\n",
-       "         -4.24666117e-02,  1.09958167e-01, -2.81837341e-02],\n",
-       "        [-1.44703043e+00, -6.82025516e-03, -1.32837495e-01, ...,\n",
-       "          1.01037129e-01,  1.24011525e-01,  2.93925781e-02],\n",
-       "        [-1.88280569e+00,  1.58894039e-01,  1.94406669e-01, ...,\n",
-       "          2.02963516e-01, -1.02580176e-01, -2.27122382e-02]],\n",
-       "\n",
-       "       [[-3.11284028e-01,  4.57395907e-02, -5.93765944e-02, ...,\n",
-       "          9.89407912e-02,  6.95664992e-03, -2.08061733e-02],\n",
-       "        [-8.16732126e-02,  2.07674481e-01,  5.54563779e-02, ...,\n",
-       "         -3.88096709e-02,  3.14765790e-02, -7.57243798e-04],\n",
-       "        [-1.09194994e-01, -5.78870165e-03,  8.61930280e-02, ...,\n",
-       "          2.35724309e-02,  4.35084485e-02,  6.65596484e-04],\n",
-       "...\n",
-       "         -1.84319850e-01,  5.72853962e-02,  1.05324888e-01],\n",
-       "        [-2.57522762e+00,  4.06043765e-01,  2.18213096e-01, ...,\n",
-       "          2.16262191e-01,  2.44147664e-01, -2.79635558e-02],\n",
-       "        [-4.53882925e+00, -3.61320565e-01,  9.88348282e-02, ...,\n",
-       "         -9.99270161e-02, -1.89315409e-01,  7.27320120e-02]],\n",
-       "\n",
-       "       [[-5.32383745e+00, -2.59905275e-01, -9.42536151e-02, ...,\n",
-       "         -1.14359197e-01, -7.32243057e-02, -1.17779599e-01],\n",
-       "        [-4.61458548e+00, -3.59844762e-01,  1.96055190e-01, ...,\n",
-       "         -9.51545225e-02, -2.07306574e-01, -1.21820868e-01],\n",
-       "        [-4.43024026e+00, -1.50307160e-01, -2.68508102e-01, ...,\n",
-       "          2.49489361e-02, -2.64294322e-01, -1.70129536e-02],\n",
-       "        ...,\n",
-       "        [-1.79788969e+00, -4.62374302e-01,  3.78449074e-02, ...,\n",
-       "         -1.45970427e-01, -1.10146726e-01, -3.16941288e-02],\n",
-       "        [-1.89689242e+00,  1.96203432e-01,  1.83354633e-02, ...,\n",
-       "         -1.92172321e-01,  7.78421414e-02, -5.74109845e-02],\n",
-       "        [-4.11928259e+00, -7.79838400e-01, -1.65173175e-01, ...,\n",
-       "          1.25174990e-01, -2.02087485e-01, -2.00104178e-02]]],\n",
-       "      shape=(112, 112, 64))</pre></div></div></li><li class='xr-section-item'><input id='section-9896036e-5fdd-43ad-925f-d0cc3c3d2d99' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9896036e-5fdd-43ad-925f-d0cc3c3d2d99' class='xr-section-summary' >Coordinates: <span>(2)</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'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.0 47.99 47.98 ... 47.02 47.01</div><input id='attrs-84406b73-a15a-47c9-bc12-fb477f6679c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84406b73-a15a-47c9-bc12-fb477f6679c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bec3280b-31af-44c6-a56f-a961a2c2d9af' class='xr-var-data-in' type='checkbox'><label for='data-bec3280b-31af-44c6-a56f-a961a2c2d9af' 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([47.997778, 47.988889, 47.98    , 47.971111, 47.962222, 47.953333,\n",
-       "       47.944444, 47.935556, 47.926667, 47.917778, 47.908889, 47.9     ,\n",
-       "       47.891111, 47.882222, 47.873333, 47.864444, 47.855556, 47.846667,\n",
-       "       47.837778, 47.828889, 47.82    , 47.811111, 47.802222, 47.793333,\n",
-       "       47.784444, 47.775556, 47.766667, 47.757778, 47.748889, 47.74    ,\n",
-       "       47.731111, 47.722222, 47.713333, 47.704444, 47.695556, 47.686667,\n",
-       "       47.677778, 47.668889, 47.66    , 47.651111, 47.642222, 47.633333,\n",
-       "       47.624444, 47.615556, 47.606667, 47.597778, 47.588889, 47.58    ,\n",
-       "       47.571111, 47.562222, 47.553333, 47.544444, 47.535556, 47.526667,\n",
-       "       47.517778, 47.508889, 47.5     , 47.491111, 47.482222, 47.473333,\n",
-       "       47.464444, 47.455556, 47.446667, 47.437778, 47.428889, 47.42    ,\n",
-       "       47.411111, 47.402222, 47.393333, 47.384444, 47.375556, 47.366667,\n",
-       "       47.357778, 47.348889, 47.34    , 47.331111, 47.322222, 47.313333,\n",
-       "       47.304444, 47.295556, 47.286667, 47.277778, 47.268889, 47.26    ,\n",
-       "       47.251111, 47.242222, 47.233333, 47.224444, 47.215556, 47.206667,\n",
-       "       47.197778, 47.188889, 47.18    , 47.171111, 47.162222, 47.153333,\n",
-       "       47.144444, 47.135556, 47.126667, 47.117778, 47.108889, 47.1     ,\n",
-       "       47.091111, 47.082222, 47.073333, 47.064444, 47.055556, 47.046667,\n",
-       "       47.037778, 47.028889, 47.02    , 47.011111])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-124.0 -124.0 ... -123.0 -123.0</div><input id='attrs-d5610350-5f67-4897-a42b-b96a0efd75ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5610350-5f67-4897-a42b-b96a0efd75ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-149e050e-66bc-4684-b570-aa6f1bdd257b' class='xr-var-data-in' type='checkbox'><label for='data-149e050e-66bc-4684-b570-aa6f1bdd257b' 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([-123.997778, -123.988889, -123.98    , -123.971111, -123.962222,\n",
-       "       -123.953333, -123.944444, -123.935556, -123.926667, -123.917778,\n",
-       "       -123.908889, -123.9     , -123.891111, -123.882222, -123.873333,\n",
-       "       -123.864444, -123.855556, -123.846667, -123.837778, -123.828889,\n",
-       "       -123.82    , -123.811111, -123.802222, -123.793333, -123.784444,\n",
-       "       -123.775556, -123.766667, -123.757778, -123.748889, -123.74    ,\n",
-       "       -123.731111, -123.722222, -123.713333, -123.704444, -123.695556,\n",
-       "       -123.686667, -123.677778, -123.668889, -123.66    , -123.651111,\n",
-       "       -123.642222, -123.633333, -123.624444, -123.615556, -123.606667,\n",
-       "       -123.597778, -123.588889, -123.58    , -123.571111, -123.562222,\n",
-       "       -123.553333, -123.544444, -123.535556, -123.526667, -123.517778,\n",
-       "       -123.508889, -123.5     , -123.491111, -123.482222, -123.473333,\n",
-       "       -123.464444, -123.455556, -123.446667, -123.437778, -123.428889,\n",
-       "       -123.42    , -123.411111, -123.402222, -123.393333, -123.384444,\n",
-       "       -123.375556, -123.366667, -123.357778, -123.348889, -123.34    ,\n",
-       "       -123.331111, -123.322222, -123.313333, -123.304444, -123.295556,\n",
-       "       -123.286667, -123.277778, -123.268889, -123.26    , -123.251111,\n",
-       "       -123.242222, -123.233333, -123.224444, -123.215556, -123.206667,\n",
-       "       -123.197778, -123.188889, -123.18    , -123.171111, -123.162222,\n",
-       "       -123.153333, -123.144444, -123.135556, -123.126667, -123.117778,\n",
-       "       -123.108889, -123.1     , -123.091111, -123.082222, -123.073333,\n",
-       "       -123.064444, -123.055556, -123.046667, -123.037778, -123.028889,\n",
-       "       -123.02    , -123.011111])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8252ebf-13a8-47b7-9f7e-f66007b18c02' class='xr-section-summary-in' type='checkbox'  ><label for='section-d8252ebf-13a8-47b7-9f7e-f66007b18c02' class='xr-section-summary' >Indexes: <span>(2)</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>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7777e751-d375-426f-b632-a0d0baf009b1' class='xr-index-data-in' type='checkbox'/><label for='index-7777e751-d375-426f-b632-a0d0baf009b1' 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([47.997777777777785, 47.988888888888894, 47.980000000000004,\n",
-       "        47.97111111111112,  47.96222222222223,  47.95333333333334,\n",
-       "        47.94444444444445,  47.93555555555556,  47.92666666666668,\n",
-       "       47.917777777777786,\n",
-       "       ...\n",
-       "        47.09111111111112,  47.08222222222223,  47.07333333333334,\n",
-       "       47.064444444444455, 47.055555555555564, 47.046666666666674,\n",
-       "       47.037777777777784,  47.02888888888889,  47.02000000000001,\n",
-       "        47.01111111111112],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=112))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d8781282-09de-46f7-a274-9100d75a628c' class='xr-index-data-in' type='checkbox'/><label for='index-d8781282-09de-46f7-a274-9100d75a628c' 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([ -123.9977777777779, -123.98888888888901, -123.98000000000012,\n",
-       "       -123.97111111111123, -123.96222222222234, -123.95333333333345,\n",
-       "       -123.94444444444457, -123.93555555555568, -123.92666666666679,\n",
-       "        -123.9177777777779,\n",
-       "       ...\n",
-       "       -123.09111111111122, -123.08222222222233, -123.07333333333344,\n",
-       "       -123.06444444444455, -123.05555555555566, -123.04666666666678,\n",
-       "       -123.03777777777789,   -123.028888888889, -123.02000000000011,\n",
-       "       -123.01111111111122],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=112))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e554528-2522-49ae-a11b-222323e889fa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e554528-2522-49ae-a11b-222323e889fa' 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 (y: 112, x: 112, channel: 64)> Size: 6MB\n",
-       "array([[[-2.98959292e-01,  1.64430934e-01,  1.15438255e-02, ...,\n",
-       "         -8.08710732e-03,  3.30118317e-02, -5.46855937e-04],\n",
-       "        [-2.24567760e-03,  9.47532182e-02, -3.34303832e-02, ...,\n",
-       "         -6.48077535e-03,  8.64085204e-04, -1.95042637e-02],\n",
-       "        [-2.29584158e-02, -1.93482539e-01, -2.64102204e-02, ...,\n",
-       "         -5.21691757e-02, -2.33358999e-03, -1.43376856e-03],\n",
-       "        ...,\n",
-       "        [-7.14939087e-01,  3.34519677e-02, -1.22026729e-01, ...,\n",
-       "         -4.24666117e-02,  1.09958167e-01, -2.81837341e-02],\n",
-       "        [-1.44703043e+00, -6.82025516e-03, -1.32837495e-01, ...,\n",
-       "          1.01037129e-01,  1.24011525e-01,  2.93925781e-02],\n",
-       "        [-1.88280569e+00,  1.58894039e-01,  1.94406669e-01, ...,\n",
-       "          2.02963516e-01, -1.02580176e-01, -2.27122382e-02]],\n",
-       "\n",
-       "       [[-3.11284028e-01,  4.57395907e-02, -5.93765944e-02, ...,\n",
-       "          9.89407912e-02,  6.95664992e-03, -2.08061733e-02],\n",
-       "        [-8.16732126e-02,  2.07674481e-01,  5.54563779e-02, ...,\n",
-       "         -3.88096709e-02,  3.14765790e-02, -7.57243798e-04],\n",
-       "        [-1.09194994e-01, -5.78870165e-03,  8.61930280e-02, ...,\n",
-       "          2.35724309e-02,  4.35084485e-02,  6.65596484e-04],\n",
-       "...\n",
-       "         -1.84319850e-01,  5.72853962e-02,  1.05324888e-01],\n",
-       "        [-2.57522762e+00,  4.06043765e-01,  2.18213096e-01, ...,\n",
-       "          2.16262191e-01,  2.44147664e-01, -2.79635558e-02],\n",
-       "        [-4.53882925e+00, -3.61320565e-01,  9.88348282e-02, ...,\n",
-       "         -9.99270161e-02, -1.89315409e-01,  7.27320120e-02]],\n",
-       "\n",
-       "       [[-5.32383745e+00, -2.59905275e-01, -9.42536151e-02, ...,\n",
-       "         -1.14359197e-01, -7.32243057e-02, -1.17779599e-01],\n",
-       "        [-4.61458548e+00, -3.59844762e-01,  1.96055190e-01, ...,\n",
-       "         -9.51545225e-02, -2.07306574e-01, -1.21820868e-01],\n",
-       "        [-4.43024026e+00, -1.50307160e-01, -2.68508102e-01, ...,\n",
-       "          2.49489361e-02, -2.64294322e-01, -1.70129536e-02],\n",
-       "        ...,\n",
-       "        [-1.79788969e+00, -4.62374302e-01,  3.78449074e-02, ...,\n",
-       "         -1.45970427e-01, -1.10146726e-01, -3.16941288e-02],\n",
-       "        [-1.89689242e+00,  1.96203432e-01,  1.83354633e-02, ...,\n",
-       "         -1.92172321e-01,  7.78421414e-02, -5.74109845e-02],\n",
-       "        [-4.11928259e+00, -7.79838400e-01, -1.65173175e-01, ...,\n",
-       "          1.25174990e-01, -2.02087485e-01, -2.00104178e-02]]],\n",
-       "      shape=(112, 112, 64))\n",
-       "Coordinates:\n",
-       "  * y        (y) float64 896B 48.0 47.99 47.98 47.97 ... 47.04 47.03 47.02 47.01\n",
-       "  * x        (x) float64 896B -124.0 -124.0 -124.0 ... -123.0 -123.0 -123.0\n",
-       "Dimensions without coordinates: channel"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "latent_dim_cube"
    ]
@@ -1915,30 +469,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.image.AxesImage at 0x2882b3bbc50>"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi8AAAG1CAYAAAAxwRT8AAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjUsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvWftoOwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAztRJREFUeJzs/XucHnV5Po7fM/Mc9tnzZjfZbJINCedDCGpQDFCVgnigaD9aq0hRWtS2YAv40VpEK7RCPh9PxZaP/or1QL9qY61arKiN1gIiKOEQOQcCCVmSbDbZ7PnwHGbm98fC877ua/JMEjanJ97X65VXZvY9h/e85z2zs/d1X9ftxXEci8FgMBgMBkOdwD/UHTAYDAaDwWDYF9jHi8FgMBgMhrqCfbwYDAaDwWCoK9jHi8FgMBgMhrqCfbwYDAaDwWCoK9jHi8FgMBgMhrqCfbwYDAaDwWCoK9jHi8FgMBgMhrqCfbwYDAaDwWCoK9jHi8FgMBgMhrrCYfPxsmrVKvE8T6666qrqz8bHx+WDH/ygLFq0SAqFgpx00knypS99aY/H+u53vysnn3yy5PN5Ofnkk+X73//+Aey5wWAwGAyGg4nD4uNl7dq1csstt8jy5cvVz6+++mr5yU9+It/4xjfkiSeekKuvvlr+4i/+Qm677baax7r33nvlne98p1xyySXym9/8Ri655BL5wz/8Q/n1r399oC/DYDAYDAbDQYB3qAszjo+Pyyte8Qr54he/KJ/61KfkZS97mdx0000iIrJs2TJ55zvfKZ/4xCeq269YsULe/OY3y9/93d/t9njvfOc7ZXR0VH784x9Xf/bGN75ROjo65F//9V/3qk9RFMnWrVulpaVFPM976RdnMBgMhiMecRzL2NiYLFiwQHz/wMUEpqenpVQqzfo4uVxOGhoa9kOPDh0yh7oDV1xxhVxwwQVy3nnnyac+9SnVdvbZZ8sPfvAD+ZM/+RNZsGCB3HHHHfLUU0/JF77whZrHu/fee+Xqq69WP3vDG95Q/SDaHYrFohSLxer6li1b5OSTT35pF2QwGAyG30r09fXJokWLDsixp6enpbPQLJMSzvpY8+fPl40bN9b1B8wh/XhZvXq1PPjgg7J27drdtv/DP/yDvP/975dFixZJJpMR3/fln//5n+Xss8+uecz+/n7p7u5WP+vu7pb+/v6a+6xatUquv/76xM+feeIRaWlpERGROLOXNznUX8VepexW4ki1xdl8zcP4xXE4CH3J03GifLM7vZ9TbZlwGjakIBscJ84VdBucs6RPJznP/cCj641onEqhOycdRgqBi2px+G+q4n6S8XX0C1fx+CIicEgJaL8MBdHgFMLxNTxqFsdQRGI/5bFJafOnRl3fBjeqtnDnVrXuHX2aa2ueV/McfG9CCKRyTHW6AveN+taQrf3XYs6vHX3k+zYBHRov65csnF6ygT5mFs4R0VFD2K9A+7Xmg5p9C+KKWsdn0QvLemPYFp8nEdH3NKJj4rMY0i+VmGc87pjyTHPbXh6T3yeqbxW63r3ti4h4MVxXWPuvfo/GBo/Lzwy+N7ySfr688lR1OSq0666lvDP3CfSerAl69mXTw+4QDY3V5dGJSVn6hj+q/r44ECiVSjIpoVwsCyU3i4yPkkTyzf4tUiqV7OPlpaCvr0+uvPJKWbNmTc0B/Id/+Af51a9+JT/4wQ/kqKOOkrvuuksuv/xy6enpkfPOO6/msZnqieM4lf655ppr5EMf+lB1fXR0VHp7e6WlpUVaW1tnjvGSP15gPfHxUvuY/jT0d08fLw3ugUl+vMB6RC8+9fHSqNsO8cdL9rD6eNFj+pI/XrLuqEGxSbWFU3r8PXgJhi2tNc+xLx8v2ZSPl8J++njxoUNeSf8yL0Nfcy/14yUzm48X+IXJHy/wixefJxHZh48X+uV90D9e9LOnP15SqIY9fbxEB/rjhdrKbr+ooD8k096Z+4RgLz9eKlm93uSeU7/QJIyDkWZQEF9yaXNkDwgOaaLI/sMh+3h54IEHZGBgQFasWFH9WRiGctddd8nNN98sIyMj8rGPfUy+//3vywUXXCAiIsuXL5d169bJZz/72ZofL/Pnz09EWQYGBhLRGEQ+n5d8PvlFH3u+xC9OkpSHFh9SvzSlmmLfvVwTLxd42fHLNM64/qiXh0ji5eIXJ9xKg57U+DFBv+clg58TKS/lIND9juF6+VHldfyAiCjyw/1RfYP9pir6evEXHf0OVPslDk/jlkn75ZLy4vcrY24l7SVCbRjdipvmqLbouSd03zBKUJqk47gXaI4/iOGljNErEf3BwB99uN5Ag4qb8nhP073Bc7Q3BNTmxiOM+aPT7cffSp7aTrfhvPXoPqV9oPBHJj5v6nkicIQSnwVJ+cWa+MXOgD8s4mDvX8te2sdMWt+wjT9W6CMM75Qn9EsfP1C4A3jN/CzgOj9DcG/8qSF9yGCu3jbtGVY70nZlF1HheeJVXFvio6t7sWsbHdy7c+9nBJ6nnpd93l+83dys+sMhUxude+658sgjj8i6deuq/04//XS5+OKLZd26dRKGoZTL5UTyUxAEEvFEBKxcuVJ++tOfqp+tWbNGzjzzzANyHQaDwWAwHCz43sxH/Ev9lxJIrSscsshLS0uLLFu2TP2sqalJOjs7qz9/7WtfKx/5yEekUCjIUUcdJXfeeaf8y7/8i3z+85+v7vOe97xHFi5cKKtWrRIRkSuvvFJe85rXyP/9v/9X3vrWt8ptt90mP/vZz+Tuu+8+eBdnMBgMBoPhgOGQq43SsHr1arnmmmvk4osvll27dslRRx0lN9xwg/zZn/1ZdZvNmzer6MyZZ54pq1evlo9//OPyiU98Qo455hj59re/LWecccahuASDwWAwGPYb9gttdATgkPu8HI4YHR2VtrY22b5tazVhFxPMEjwo8KcJbhe5ZuaWYb9EIloaJ12m7PwwTdEEeRZ0jkoKa4jpKZzLifkReSG+OCUHoxjph0Yrimp2JYEm6BDnbiDyvm7j5GJMsIwzmsvn/AkEb6v2S0ng9Eoul4LzKryyzmsJtzo1krdUmzfGoIZJSy4txUS5wvBXXmL+UTHU95cFbGkh6UKmdq4UIpHXgmOaSCaFe8h5LPyc7u1x6BlOS7pXoPNFkJuUEPrRrl5KG45HIsdlb5OC03KzWGSQdsyUpP8E9jIfhXNO/KkRdzqa35ibNLMzzCnKDYzxF3zK9XuVIv0AtqWx8ach3w3u9+jYuHSe/CoZGRmp/s7Y33jx99KVmaMkP4uE3WIcyRcqzx3Qvh4MHBYOuwaDwWAwGAx7i8OaNjIYDAaDweBgtNEM7OMlDXG029BnglIAaWOc4h+QkEvupSSS90ulLSh0ioZPuCwiks07nwL2scEzlmkIcJV9ZdJoA7bkyAdIR+hgOVJKAcUHcdO8V1tGHnu6byFJvpV9B8XqgxTfkzTfD0UV7YvPB1McTS5czmHtqLHD7YZhbNE0YS7NE4NUfGEKb4RS9QSlkwL250FZdY5uKg43KbwlBLoxH9SmhvgKEvcU7kfimUoLw+/l852wG1BUM/kvketRCEHwkDo+Cg8g+/EEnutbji8hhSZL85VJzSPI0vWjVJ3PARRTQrZe4xgiWqrsT+q2qEVbXkTQn4T/Uso1qnvD/cFtSRofFtpgxfUtjPaTed5e4EXV0Evef/915ZDCaCODwWAwGAx1BYu8GAwGg8FQJzDaaAb28ZIGP+PC+UgVUcg9NeScpmJAioNpgxQVRYJyCGq7c8aeC3smVEqoeCEqLANKCT5/ENd2sWX1T5lj94BsCsfUAjFwdthF+iHwdRDUh6BonsLRlVhvi31rZprIq01HqF6nqRjYGRndjrM6HM3UkIfhaaKGMgMb3HHm9OpzYBif7jfOjYD63Zip/SoI4X7vKVyNlA/THzgaY1Q6IJ9SKgLpJ6aUEOz2y+UhCrDK9A8q73jK5nDa7K2jq4iaG5mIqWaiNOGw/Mzg2hRxuJpGYmtiaGN6E55ppGlEdvM+SyuHkeKw64cwp+kcqLaL8tpmP8rBOlPr+6LYxH7vC4WrOpNCt2HfgoNHxngyO8rkyPh0MdrIYDAYDAZDncEiLwaDwWAw1AmMNpqBfbwYDAaDwVAnMLXRDOzjJQ0glcZKvokK08BfM++LUuIMTbhUSWKaOybLPFEumsZPE5AjTlTkhUrG/Jz4Ke6/WTp/HsatRPRxCYh+zpXx4S+LiEygS5AT0ECS22bIlanQ9OYcDJTrslQbu8oe1AW4kT5VfEYenLn8VIk132OUlhKVH8NxMyNbVVtl5zbXlY55+pAdC3ffFxGJMMeGc5xgNBLzpKxzdbJZJxnNkPwec1dy9AZFx1/OXcF8kJBck1FSn6M3elafQkLIY+J0K+wOz0U8B+dp4TnLdMascnjV50ukUqQYneOuPE9juDfFij5JHucp/crKY74d3SevOE49gHvOOShpcugUGXXY3AUn5Orrbn6jK/VMX2tLktOqYTMiuGaWzadXAMc8IrimlNy+/Y2Zj5fZRF6ODFjOi8FgMBgMhrqCRV4MBoPBYKgTGG00A/t4SYFXLlaleEqCnOLkGJCs1Ucpb6JoIoRrSTqJRQw5xO5xmHVvi3SluINWyAEUqYJEv1FmyQfiECyEoLmYWA4opZCGFKmhMEXlyO67EyAlTdJEurfITnAUFiWpbWQNrCTu7HYMY8ymtbjqsTNxngpDYsg90rJqlLWz5NeDcHyYa1ZtwY5nqstRe48+/+SQ1AI6+ibayIEUQ/fe9Khqy8BYBURV5ICOYRn3ONyL0WmmKd1+zQmLWQ2U3Pt0w5HSYmdgpJF2Tun5zXMK4cPTwfOUgVJxdh/G579A9FIafYBUFPdTyd8TNDjZNpTAmZtpnLxzgo6zmtJRNg1M6aS6hINNBFkK+BODdH49x/XGe1mMkgt64txMo5A8tKg4eJ8ElrA7A6ONDAaDwWAw1BUs8mIwGAwGQ53AnyVtdKRELOzjZW+B4XkOJSKNEGjFgaKbmN6B/Vi1ggXowpgoHc7cT3EHTZvkSGuw+iJOUTul1PCTDFNaGNZNKQ4X0JgWcLxJYSJZF6JNc1xlp9JJcictg1ogRwPQkHHXEcS1lUFcmBKj+hN0PlTU5OnGJKgCdC5lmhIpJg6/g/qH52Jl3rFut6HNqi1snltdTqWJiO7hop14ziBL1Ay6zNL9LqW8igpwL1gJhHQIC3ZGWN6GfaE5hTQSnyOEA2NfdretOibW96P7zWF/XK3QvG0M3Hop5VdPzuPrRZmWbsugMy0qKUV0cVERiRpapBaU+owlVDk3V4pebZqI3z0ZuA6PKR3uKzwnrO5TikmeHEhxEW2GVCzPSzQ09phuO0gw2mgGR8pHmMFgMBgMht8SWOTFYDAYDIY6gamNZmAfL3sJf2rErXCYEYyTuBgfhjk5whxgtjqFR5EKSlI6pAaA43LoGAuXcfG/AOgBjrBj5JofFFzna5qKODzuln2ilNQ5UuiXaWJtGuDyWVGEl8HhdwYWY+QtG9FRMEXtxKZho1BwkA30MNSboIk4BormX2wMh/eRDQtBnZFQdPhuLlY6j9bHLDqVXGZYG98hbcAmYbmE2sNd4xQX6QQTt0KsDc2QYuH9poEbZCUQUoOlon72+PYj/cN+arum3A8as7Vf762kPGuCOZQnF0pUQmV4EnHYH+8j/2KC68hH/O5BZUztZz9hBJdiUMnUTCXlXZD6GwSuKUfnnwxrF/tMOySrj3COJ64D5yZTPEiNpRR/zFHfKrG7DlQMMn18IGEfLzMw2shgMBgMBsNu8aUvfUmWL18ura2t0traKitXrpQf//jH1fY4juW6666TBQsWSKFQkNe97nXy2GOPHfB+2ceLwWAwGAx1ghcTdmfzb1+waNEi+T//5//I/fffL/fff7/87u/+rrz1rW+tfqB8+tOfls9//vNy8803y9q1a2X+/Pny+te/XsbGxvZw5NnBPl4MBoPBYKgTBOKoo5f0bx/Pd+GFF8qb3/xmOf744+X444+XG264QZqbm+VXv/qVxHEsN910k1x77bXytre9TZYtWya33nqrTE5Oyre+9a0DcflVWM5LCrzSmHgvphcAt4yFwxgR8cVexfHO7Byq5NckI0Z5rlcmvpa3hTybmL+qgRNmySPm8WSxMJ+ITEPeAee1+DW2E0lysWFKebQAcgJYyYiH5bwSTEJhp1Qs4sh/YTSTdBflq1w4Dse4QjlGGbg3OeLLMQdiZFrnYLRAvkQpYRus50YeXUbpHCpfgST2WBxPOTiLHtNKoHMH8k1QXDTPRTqdqyo78YaUV8OOv2pbSEKJs3q7LDwnGep3Y8pbCl1zqZ6japtZd+fH+yQicnynOyfLn3VBydp5LZxjg/k4E3oqSJak2iHkUuTT8qHYwRpcjDlXBe9/SHNYXSLnRqUUjRwnb4JcirMs2gEk5N+QH8RPdyy181gSQEsBug6UMifmZYoruTonufRmIDcR3wsHryzjzDtvNlLpF9+Zo6PaATufz0s+X7vwpYhIGIbyne98RyYmJmTlypWyceNG6e/vl/PPP18d57Wvfa3cc8898qd/+qcvuZ97gkVeDAaDwWD4LUNvb6+0tbVV/61atarmto888og0NzdLPp+XP/uzP5Pvf//7cvLJJ0t/f7+IiHR3d6vtu7u7q20HChZ5MRgMBoOhTjBrtdEL+/b19Ulra2v152lRlxNOOEHWrVsnw8PD8t3vflfe+973yp133llt9ygSFMdx4mf7G/bxkoK4oVXiwszNTbic4nZYqJCLGKaE0VG+5xd1wTMVHk47hmiqKGporbkdu6HmgEbyIWwvIoIBaL4GlHG30lPENBJSBZNl3dYMOsQS80bYFwrxY1ifC95hMTx+dtIeJpRuimiqIKS+DZVcW2tOtyFVxGORARqDaYsi0Uih714kWZ+pMbecSytwxyH3LMxTGoup2IX/C0w/wDmYNlJyXEI2Rf4+RJRaA0iwqQylog1ZKt0Mj2Ux4vurxxgveWhKnx8pnma6Nw0wx/me4lwcJ78BpEq4aCT/8kHn3oSsGh20yeFYOdDSO2qyghRq7edr13S6xLwhU5s22zFZqdmGEvfuJt03HKqEvQNSoUSZVgJ9/YiAKB50CefitRHMTXbQLmfd/E/cCyyYCpd7MD1rZ+2w+8K+L6qH9ga5XE6OPXbGofv000+XtWvXyhe+8AX56Ec/KiIi/f390tPjir0ODAwkojH7G0YbGQwGg8Fg2GvEcSzFYlGWLl0q8+fPl5/+9KfVtlKpJHfeeaeceeaZB7QPFnkxGAwGg6FOsL9oo73Fxz72MXnTm94kvb29MjY2JqtXr5Y77rhDfvKTn4jneXLVVVfJjTfeKMcdd5wcd9xxcuONN0pjY6O8+93vfumd3AvYx0sK4iDnKBMMOxI1hFQRF+vyoFBeojAhbkvh4BgonUSomBUHGMpMKdoYE/1RwaJmPp0ftvXiJJ/5IjiMniiyBj9oy9emZoKYnIlTaLqCB9vSdiiG4Gc04QYMG0+TMgWVUHxN28bdfRvKaLVFD/AYOaLJ0IF1tMjnk5pgigkphgoVvMtgHVAqsBdACJzD6EjNTNI4NcJBY1asTQyqdbyqDFElXoC0lW5DiiWk+YYR8l1kt4wUT4EcbpvJHtUDV91RvzbFw/ME53iR1DZbx9xc6G7WhTA7C25uMGnDDsvYdXRxFRGZAr6X6YJGOA6fA39JjRKlha8CPuYwjfFEGahYOse8ptrPqQd0ECu41L3igo4wT3ie8rPI7x91DhibpNsyLPOvQWjjQphZoNADeH8H0cEr0ri/aKO9xfbt2+WSSy6Rbdu2SVtbmyxfvlx+8pOfyOtf/3oREfmrv/ormZqakssvv1yGhobkjDPOkDVr1khLS+2CnvsD9vFiMBgMBoNht/jKV76S2u55nlx33XVy3XXXHZwOvQD7eDEYDAaDoU7ge17C32pf9z8SYB8vBoPBYDDUCbzAE4/5s33Z3z5ejnwEw1skCF9woU1xZFQcLcuaIQeFK/JK4Jx62R0z7Xwlum3ZTG2ptqoAnTJpk1WNa+eVIPPN0lVmoFEqzVJKlR9E1xugJJdzfHA/zutAeSRVPM7ktAgXK90WGvR9Q46+TIT5wha37RTpz5/cOVVdbmvQORD5Su3xxzwWEZ3nEtAY4zAmcqzUfCOpMuY4cZoBzI3ENIlr58pEecqBATfeiO8pzHF2m8Y0lxGqDj2nweWOhJT/MwwyX79Qe5xERCbhXvEl4i3m3wuYDzNe1n3DPBeWQ2NeC/eFHWdBcaxcokVEUEWfJ5doZZOQ4vDLcv9BOGFzTudtceVslEqzMTQ+320pFbcZnLeHUJWyOb+QtsV5y67VJWjj60fk+PmCzK2Qcl5wjIMUmbrhwMNG3GAwGAyGOoEfeOLPIvJitJHBYDAYDIaDi8AXz09hAvaEFMPCeoJ9vKQgzjc56gHD3BTyVHQQhQ9V6J5Di3gcduZNoY0SFA8iZT+O4iqKKawdxg1Gtui+wXUE7OJKD5VXmoK22tfvkcMvho69si4+iMeJuEgmnJ+PyffNh3U+DgrH80Q/NUMYvZTT1BCG4Kc5jA1UFFIhIrsrKui2LfCwwV9O2RSaskIh72mgTdi1F8Pq0yTxzkJfMzy/qYhiDIUhvUpRtSG9GpBTau3ZJ9I/4Vo7aTCa4fLZ4XZOQY8xOjWzdBcpTaYJ/RT/VDwmF1RESwFSWKv7K6KpMqaf8Bz87ONRmIrCv7Cn6J6OTKMzrj4o0z8oa2aaGM/JBVSx+KKE/J6oLYdGJtZn6lFqgyMKg1PuGpmWxTFN+1WeCWs7SOM7U73nDjA83xNvFkYv3kH1Az5wMIddg8FgMBgMdQWLvBgMBoPBUCfwA0/8WURe0iKJ9QT7eElBHOQdJYQqllyH3hBCoolieOi+Oz2qmjCsHozv0PuVXLjyxeKQLwIVHTP9dNRFzE690MbUlF8cg85QyHvS9dXPc6k82C7U6gvJpqitslzwL7/bZRGtvoqzC2ofM60wITsak8QmRtqIClqiioeLD+J9y+U13ZTLu/5MkroIaY0Rctjl/DtdfFIHy/G9xaFyfKD5FdUAoXN2FEaGi1VhSGkkwu/MvXu1abtY3FjxuxfpCD4HFhXcNl5WbRj+Z0XJKKmWCsqNV5+jf6IEbXq80Rl5bqN+ZeJxQqJthuD8k6RK4/PnUxQ9gVLN6DakakZL+noHJtxYtTfofi9qc88bU5gN1Le0X3V5P410gT25uCvsxmODBR2ZwmKgwojHFOcUOzOHcbDb7UT0/A/IeRznLdaMjPNcTPPAwfNnl/PipSiv6glGGxkMBoPBYKgrWOTFYDAYDIY6gdFGM7CPF4PBYDAY6gReYGojEft4SUWczSekoCKSkNwqnr+sJXPBlkfdbkOU1wIImcOEPAefcl6iCZ07E4Mbrt86R7ft2l7znHGjc0f1mtp1W3tPdbnC7r8oc2TXYHbDTeFXo4aUqqMwpiwz1RV46Ziwno9J5pgYY8fDE+0uldjlCuUpjwedYr3iuGpD2Wchox8vdpVNA3aHcwKQ2udKyiFUJGbpLEqA2bW3CZxbeSz08fUx2e05H2jpOEJVWKfcsBzI0XOUu4A5CNSkcoe4GnIn5adMTbnnhPN6MCeEcydQuswSc8wdYvkzbst5LMn8DLfM0mW8jzumdV4LbtoQcK6QO/8Eych7W9194hwXlpHjPec2zEnJpPxOnKzUnos8T3GKJZ1x9Ukw56dCOW14jxvJJwKrkbNdPt7iTMzu3m69DHJ/fg8ZDjzs48VgMBgMhjrBTORlFgm7cvCSiw8k7OPFYDAYDIY6geW8zMA+XtIQRwl5sYiIPzWi1jMjW6vLUVHTRuH2PrdfS3vNU3kNWnIbz1nojtFI0uyWeXpfDK2SG6437yh3nDmLa54/UakPKBaWXyu3THbNZck1jB+PGxY9Y3fOCPbjUH0pJayM4fiESzGth57reyVxfnQO1YfJ44sjp913saibT5RSHijIYqwloBPE1WAon181OBxM8aCr63RYOxzfnKkdjk84OOP9JslrIlqOY8xzIQvSeHYGTpFYIxEV+pqm1MX/9Fxkug2pmzjWo4qUCzvcIq3BQ4NS9Ukq2rhz0kmVF7QQ9UgHQhovpjmN1BTTXVtG3b3ZPKLfPa/ocbRsC0mO8Xnjfk+x3TMgVbrM70q8pymFKQen9PlbYPxZfl6hGYfU2I5JTfGgrJ1/YY/D3GhOWI+7bSuenlMe6KOz4PydLR88h13DDOzjxWAwGAyGOoHneeLNojCjF1nkxWAwGAwGw0GEH/jizyLnxY9f+r6HE+zjJQX+9Kj42Zkwpd//dPXncUmHtYv9m6vL2cXHq7agc3512WvR9E+Ud2HdqNBeux/ohCsilbaFah2dZKPcsXpfoGoyO5/Vx+k62i2z+606vu5P6LkQOAeR+bGI4CdeTjv1BpELeTfSHwNTniMLmFIpQSg5R3+BNCPHsAdKqwgSAXYnRaqKFS4YAk+8BoBuC6igo1dyYeYMjTcrPjB0T5FzKcF4jJJTbwe4pSboNqAKBotMt7l1DvEXgOLBaxAR8UPteBuDSi6mA2FBz8S9gL6FoqkhpOny1DdUrTRR+J+v/7kR99zOnVPbNZrpJnQYbsnpGd8KFAdTOm0pCqZyyNRQynXAcYukGmI6CrF5xKm7Tp6r5xv2dfO4Vn5lg9rjmFT/ODBNy/MWgfO2nagoHKqxEivtSG2UQnGNwzOdT1GwMXBOFWg7VBVNBwVY1s/BgcSspdLxkRF5OTI+wQwGg8FgMPzWwCIvBoPBYDDUCSzyMgP7eElB9MidEjXNhAZVOJwMtoKOuW6lTSuBsDBiRGZvcc4pjDwKv6OBW8JEiVQsEdATka/DyB4cp0KGcsEuR3dJmy5+GMMx2YApzbSKQ/XqmIFWLaGpFauN8DiaqNDKIA6x42H2NLlVkTUaYwwrc4h/EGgEDlqjwqHgaSoKi00GpMzg82eUwRkpLmDXDiqqhxQL3wo8BattcL9Uvy0y+otJ/YPmc14U1myLc/ruKDqArncSLpjHqRkOU6RERKa/eqEY4abhomqbA/eN5/AoGMMxTTkEzwJTGqhaYiXMnIK+b0hNMaWB/WEq5omdrkhrlMLT8HOKYjM2xctnap+fr9GrsSyi59E40T/qdtOMQ3XfNL18qL6kMp9rbyCaEpb5viH4mmodQ0QkA098ENSmDA8kLOdlBkfGVRgMBoPBYPitgUVeDAaDwWCoF8ySNhKjjQwGg8FgMBxM+J4n/ix8XnzmU+sU9vGSAi+XFy/3Qp4G8PfZXi2HjlpdnkvUoIsooiQU82ZEROUPRBntsOuBq2lMklt/WkunPSiGyMX/KpBnwm1RS7c75sSg7hvIs72GNtWUAZdJoeKDlRTr6TJx8qMgSeUHyvPScgncODaSBFLx7FQ/k/nySLXpc4xAngO72CK/3UU5Jyong6TamHYwRX3jd1EDnCOiv7KKoesb5xIEeTceeZ/k0MCTcx4TOgN7ZSpoCYgzJM2la1Q9LU7othQXUix2mWZ9znNoGNLP2klHzcUnUeU7v0UXkBwil1cEOtA+M6Rz0zAfqqdF5/80Zt3cSDjjjum8uaEpd9wmktGHKQU1jwfJ91O7pmq2MbCIJBf3LGRry4r5ecPuUFqNkvuzwnoIHoAsjQ26AReyuo0dfvF5SxjlYl4Z/8KGdyYWW5xpi3a7HcOHiwqmxmpuZzgwsI8Xg8FgMBjqBF7gz64wY3RkpLrax4vBYDAYDHWCWRdmtPIARz68XEOVNvKWnlb9eQWccUVEBGiUPRUDVE0YuqTwZMzusKqN6ScoMEjhWZymFZJRZ7MQ1g3mqjYssuZVtKzUn3auvXy9OS7iqM6nw+oYni55um9pIWeUco6XWXLslvtGdYi/iQruocyaH+cMHChDw41F/DganRZGxzaW407RjcPrz9OLCmk0DvnrbWuHyrNEDcUk41dtML9DKlTHBS3zWHAxq++Nh07RNN9VMUaaUwHMW5amx0AU9rMcmXhCLPhXoBc4OuBWiJpqB2qQaTqUQzcSb6Gk+HS/W2guzmtyNBbLmhG7JmvTVr/cuEu1dTfNh+1q0x9tNE4ezUWWKyOwqGHtUp9JZ148J8vGcfx5TNMKNXIBVUSGKNRSCHOB31lwygQVBcsxzOEon3JywwGBfbwYDAaDwVAnmLVJnUVeDAaDwWAwHExYzssM7OMlBdH4iETxjCrA3/ib6s+zXT1quwq403pE9yinXKaGIFyZRjEwvIBuGyiTMoGmXzDKnfN0yDvt/EFcge30MeNGV2ASVVEzP0ihyciZuJJ15y9RgTUMHfNQTJWhwCCpRPpGHf3AjqNcnO24TqfGwGOKaFXLgmY93uhIWgxrO+XGce1jsqtp4NcOzbMaoxn25bC2Qsq9iUjBpsAUEsxb7iXTOCHE3H06jo80KY1NHGIbFePLu/EPaNzwCsv00Gwb1xQLUjXs6KxoHDoO3uJ5TXouIP3HiiKkf5jumMMVJj1HnTBLg8dhtQ0WF33vCl2wVe+nzzcJ+20c1iqlnmZN73bDNae50bLBLw4x06tII20dq32f+JhMt6YVisT7kXBmBhXTvrx7kU6vAIVa8Q7er1I/SFfk7XH/2rUs6wpHxieYwWAwGAyG3xocNh8vq1atEs/z5Kqrrqr+zPO83f77zGc+k3qsm266SU444QQpFArS29srV199tUxP1/auMBgMBoOhHuD53qz/HQk4LGijtWvXyi233CLLly9XP9+2bZta//GPfyyXXXaZvP3tb695rG9+85vy13/91/LVr35VzjzzTHnqqafk0ksvFRGRv//7v9/vfTcYDAaD4WDB92dZmDE8bGIWs8Ih/3gZHx+Xiy++WL785S/Lpz71KdU2f/58tX7bbbfJOeecI0cffXTN4917771y1llnybvf/W4REVmyZIlcdNFFct999+1z37JLTpJsy0xuQGXTE9WflzbsUNsFnQNuhWTMubbO6nLYQhWnIefEo4rPWIGav5OLvpb25QRyaShfIAe5KyXRuSvIwxco5wKl2pyDgP0Zj/QUaqC8EqzCynLcEvDuW8kOF8/BuQRp7tZFyJ3ZMqqjbSNTmlvvH3cS8POPmaP7BkQ4y7GLkGdToOsdmXbnQCdg7vck2/YSMLeAq1pDAWTxS7rmNsqahfKf8Ch8el1hW7eV4DXBuRtpst4GPhDkTnFldmU3QNJVD6uop+TqJJxaSY48UoR8hZTr4LySxpT8CJS0l0KSrYOMfbJEzsDT+gbMbaydO4Ny+IAUubhtM1UL7p9wc/HJnXqeoFS5q1G7Dfc06/W9rZjMf9DjXOH5jsfkyvA4/mwTwOOf9u5T7y3KqcM8rgy7kudqzzGvRn5hJpH9ZTjQOOSfYFdccYVccMEFct5556Vut337drn99tvlsssuS93u7LPPlgceeKD6sfLss8/Kj370I7ngggtq7lMsFmV0dFT9MxgMBoPhcMOLUunZ/DsScEgjL6tXr5YHH3xQ1q5du8dtb731VmlpaZG3ve1tqdu9613vkh07dsjZZ58tcRxLpVKRP//zP5e//uu/rrnPqlWr5Prrr9/n/hsMBoPBcDAxa6n0LPY9nHDIPl76+vrkyiuvlDVr1khDQ21X1hfx1a9+VS6++OI9bnvHHXfIDTfcIF/84hfljDPOkA0bNsiVV14pPT098olPfGK3+1xzzTXyoQ99qLo+Ojoqvb29ErbOl7BlRursnwzy4LJ2nFVyYZKnRpMu5O2Xn9dt065wXdChKbIo5wo1Mt2SJ4oJHXCDcU1pKWqquUu3QQg+pDLp6JxaSkREwX2XWqYoPIv0B3/wo3S4mySoY2CXyaFiVEfObdT7zW10hTGnKjr8y+6oz4FEdGBC01bo7DlK1p2dBXdOLhzX3qBD7rrfIJ2tzbaIiAi+X9jhFGW+wR4KJSLS/t7Ce8NSXZSj8hgyVYB0AMtcfSx4R/2MU1yio6y7j3miyfIgt8/4JKNmKhTb6AakucjitgmpOPxgaFrPISWbpz1ZujsK48q0VS7ldw1KpUdLep4Oghsvu+g259w600QMvP8h0VY4HzqoSCnSeFNEG6G7Nl8ejneaNFtEZBzyN5qz5P4MQ85pHsrtuqznVHYC3qEpjule5Byj/UkrzHiwccg+Xh544AEZGBiQFStWVH8WhqHcddddcvPNN0uxWJQgmHkYfvGLX8j69evl29/+9h6P+4lPfEIuueQSed/73iciIqeeeqpMTEzIBz7wAbn22mvF95Nvgnw+L/l8PvFzg8FgMBgOJ3i+L95ufo/ty/5HAg7ZVZx77rnyyCOPyLp166r/Tj/9dLn44otl3bp11Q8XEZGvfOUrsmLFCjnttNNSjjiDycnJxAdKEAQSx3HCNMxgMBgMhnqCH/iz/rcvWLVqlbzyla+UlpYWmTdvnvz+7/++rF+/Xm0Tx7Fcd911smDBAikUCvK6171OHnvssf152QkcsshLS0uLLFu2TP2sqalJOjs71c9HR0flO9/5jnzuc5/b7XHe8573yMKFC2XVqlUiInLhhRfK5z//eXn5y19epY0+8YlPyFve8hb1QbQ3iDMFibMvuLBC5npU6Kixh4gXakWL1zDslksTqg2nUDyi6R6/wYUy42m9n9fcpk9agQJhzZ2qCYsoBuTwG4IzsGQ1NYWF5HiSFAIMh2swVYCqDnajxdAtq3baUiLZRajNwQXvkIpi9cdoUV//ZNnFwPl5RoVHW153RjmHUt8wxJ7jkDdQBV6KakVE0zis9piAEPwIUXrNOfeDRhpTXTRSdwBpwwzTe7DcQI10S5UDaiIvEP+o4EKBKc7MOG8CnqeRo2l9Ulfx+PtAVUQ0v3CeThDFge7LrIzB+dZM/A4W8OT5xX3De8xO3AIqIqbGUNDGfetpJkoRgFe4ZUxT3Y1Z/Z7ke663decs08OPcyNLA4CU1rJ5tYuCMko84QDM/CkFXaSv0QMKM85yYUYoNsnKN6QtIzdOcUDquSMId955p1xxxRXyyle+UiqVilx77bVy/vnny+OPPy5NTTPpDZ/+9Kfl85//vHz961+X448/Xj71qU/J61//elm/fr20tLTs4QwvDYdcKr0nrF69WuI4losuumi37Zs3b1aRlo9//OPieZ58/OMfly1btsjcuXPlwgsvlBtuuOFgddlgMBgMhgODWSbsJr6k94Cf/OQnav1rX/uazJs3Tx544AF5zWteI3Ecy0033STXXnttVVBz6623Snd3t3zrW9+SP/3TP33pfU3BYfXxcscddyR+9oEPfEA+8IEP7PU+mUxGPvnJT8onP/nJ/dw7g8FgMBgOLTx/lmqjF/7YZ0uQvc39HBmZiebPmTPjjbVx40bp7++X888/Xx3rta99rdxzzz0H7OPlyMjcMRgMBoPhtwAvJuzO5p+ISG9vr7S1tVX/vZh6kYY4juVDH/qQnH322dX0jv7+fhER6e7uVtt2d3dX2w4EDqvIy+EGLyyKV5nhjaPmua6Bq/UCYqr47EGeQ9Soc2VUZd2KdoNVvHcLVYMm3juGPICYZNQosw5GdbmFYGSrW8H8F0KuQtLwaffFzjJuP1tQ6wG054VcdCHvISan3hjyFzgHIIwd11ymXBGkvVnGfFKX7tvS9tp/ZeBhk/kwkMtA6QCYysD5PyWVj6MbOT1mDCSo80lGnub+i5LfFs7rgFNy7jqej3M3MD+D90tLI/NI1ozgSuWq4jWlNaDD8Di5qLblYJ5QWyXSg4qt7BTMVcURcwruIjn/CCXPXOFbbUl9i0kqjd2JqUJxBlyysdr7TH/c9QeUN4R94zmMY8r5Zpx/tWOytms0Spl5TJ/a5d5pXA368R3OQqKrUc8FHO8wqi2xFtEuzmmu0aGvz4E5Tnm6F5XA5bkk/rrH9x3c0zhffw67fX190trqrCX2JurywQ9+UB5++GG5++67E20ejWMcx4mf7U/Yx4vBYDAYDHWCGZO6fROf6P1nhAqtra3q42VP+Iu/+Av5wQ9+IHfddZcsWrSo+vMXy/j09/dLT09P9ecDAwOJaMz+hNFGBoPBYDDUCV502J3Nv31BHMfywQ9+UL73ve/Jz3/+c1m6dKlqX7p0qcyfP19++tOfVn9WKpXkzjvvlDPPPHO/XPPuYJGXFET5ZokaZmReKgTOtE1QW5KITqJeeUo1RQUnefaooGOUqR0O94paOh0Hjh+ImMaBvobUT39isLqsKCTqd5TTdEvUWvtr2psa0esgD4/BNVhEpAwF0JhG8WA9jPR4Y+R4gsL9KOtMkwqLiDSiAys7vkptaBqLXgQQ5vbpmGmvjB2Tmg7ACPwUaUAb4RozNG/QfXeM4uj5oDbdhUPFfcHieEyb+BQWzqAkNa4dSuc5jVeY5to7Rg6/SBvkPXpOiH4JQWZbpPmG7/Ncgn7Z/flEktQgAs/BDtYTZW1Vi3Qc/25py7vryMSass6WHP2SoWffYx4LACbRMs1FC2mmtrY6OoFZAHT43UVO1DsnXV9P6NTP/mnd7i/+tN+lLP9mpBUGHYLil2nzdpKeL7xGdkLG7kQwTuERHAe44oor5Fvf+pbcdttt0tLSUs1jaWtrk0KhIJ7nyVVXXSU33nijHHfccXLcccfJjTfeKI2NjdUCyQcC9vFiMBgMBkOdwPf93TrF78v++4IvfelLIiLyute9Tv38a1/7mlx66aUiIvJXf/VXMjU1JZdffrkMDQ3JGWecIWvWrDlgHi8i9vFiMBgMBkPd4GAXZtwbZ3rP8+S6666T66677iX2at9hHy8p8Ivj4k/PhA2jvAt7ehVya2S3UACqcRJOjghSKSnHUT4+F99D91+aZx5QRTGFw6OcS7pKKDUg4z4QCsenqa3y+ks7rpGdLyKSwQKP9EBNQiibHU8xlMxhZXSOrdBgcOgY4bHaC5VQCQdON/5J+sG1lSgcrYtU6jZWfGDXEwn7MI4ZuhcB3G8OZeMZWVyDYXRWGzWnhO55LvA82t/gQn1q+PkZoq4gxTBa1I2ocGHgvWGWAufmJM3TFhhHfv3z3MTr4rmAzrUeqWaCPKzTvchXUp5TeC6badgKmb1PBkX6ibotL+t2tDCrlPD6+XdjMaVIJtN2eD94bnCBS4Q6TEIJBsUXaT98T3jwrLMKzHDgYR8vBoPBYDDUCQ525OVwhX28GAwGg8FQJ/C8WVaVTqkjVk+wj5cUxF4g8QtqDkUNcWicDbcQXGQNgCF2pnSQNmJDL15H9UumrI3BFG3D54DzlwNNjWCoukBf6jHTVrozNZumyDQMj1omMyo0RmsskEkb9s3TCocQFCasWvHBXE+EimjS2KCCK1EoD9c9beyENAKHw9H8iykspgqmsRgh8UYhBrPpvmEBugzRjWigmOG5gC9DVreVNKWWBmXSSOoXnON+pfYx2exMMUN0T0dA4ZIn2ojZLhxznht4nO5GfZxt426ezKG5iDQGm+L1T7jx5/vNpm2okuMCh0h3pSmxAk+7EubBwI8LE/rTY9XlmBRr2YiUUNDO7x6kKVuJpkFDOX4W5oHxIo8NrjXQc8E0Th6uy6uQCSYoHdkw0S+OSS1ETa64bYjmpELmmWWgkCq6IK/hwMM+XgwGg8FgqBMYbTQD+3gxGAwGg6FOYB8vM7CPF4PBYDAY6gR+4Is/iw+Q2ex7OME+XlKQGd0mmXiGG40zLrcgzmhuOa4AD0wutjFKrCl3wiu7godxQ4qZD+eYkCRSOfyyOjBNuopF3agpgjwLlgNn/Np5JWlI2AXAvpzzgfJsLmLXVBqt2ZaFkzCX75e0MzFK0NHtWIQk7pQfgvkaeb/2RQV+bS6fx1ToOAHkTwxO6XmDOTBted23YuzmZmOWioSW9zJ3hecM5JIk8p04VwjW+RIxrSnHrtQwpwOWA8NxyiQ6xkKUPKb5lDwTloMPTrk8jy3jOn+hE/Jc2H24M6VoI66z/LdC9xvTXFrpnmJfOVcGT5km6+X7FuH7hqXCnPME635Ju4RL7J4pzvwLoBAtS+iVuzUX9EtJKA3AFVxEJBjb7lam9fPtZcEmgh3MwdLBn9au4NFjruhguGOLasv9ztvddi2QD7MvL0LDfoF9vBgMBoPBUCfwfG92aqMj5EPLPl4MBoPBYKgTWM7LDOzjJQVhy3wJW18ozDg1XP15RC6yXqUIO5EkEYqTcYhdyffyunAZhnK58KNHIWB1nBQJbFo4NmHiCvQLO1emfbiPl2vTVCz5Rckz0y/o3OpTIUqv6IrRSb5Zt8F+iWvi4osQ1hZ2I02hP0KQJ2fIxhWvY4qGAl1F8/QCyQjTAW5bdhjG47CsFh2HYzqm+muNpOkoca4QbaNk83zziQ7Ark5RwT+kPHIpJq4J+gN+wIUgkZoZmtYSX3bNLcC98agDOIwjVGBwwy5Hv2SJGsKxYfdXdCZuzdH9ZRm3Ghu6bzjGse6brmhJ8xvfG3SfSjHOb6bX6P2C/Wa6D47LtGRmdJtbYdk+uFajbFuE3K5Zpp+ha8y7Ao/qeRb9nk64ZKMrOcmhvbaF1eUGpKVEZOg7/1RdbjraVVeOJolOMxxw2MeLwWAwGAx1Aou8zMA+XgwGg8FgqBOYw+4M7OMlBbHvHHbj1u7qzz2iMeJsofZBUpQaPqp2KHQaZ8C5NcUZl9sTmfMQOg1zmmLBoyacK1PUAKjq8KitkVRDSHFwODyCcHWR6A8M8iaKJgKlFRHdFgU6dKzAKgpQf0UNrboN6Cd+SEqeC51PRnxNtd1QkX7jSq08NkhVtZIyRh2H+oa0DZ8/ArorZNpCwKWZqLAI5tckqWYaif7B62JlDBbNTCi4UNHCzsiwXMjwTHWtTPdsGtZU4FFt4I5KhTGLQHFxcVOt7tKzAYsxLmzRKkS8fu42z+kYnKG5oCS6RvO7AJ/FgOZUBE91gdyHY9iPlVBFmlV56HyOfmmq4p9Z/X7JAqWbcKmG60BHWxFNC3t0Teh8PbNee2zUOrXhJWdYIQouwvxub3vXFW5l63p3jHHt4Gs48LCPF4PBYDAY6gReEIgf7H3l793tfyTAPl4MBoPBYKgTWM7LDI6MqzAYDAaDwfBbA4u8pMCrTIlXnhmiKAMOrJRngbkszO2qPBfiXaNc7VwZJY9kV1M+B/C+UYN2ikUZdyYknj2tOnRKGzqXJrl7dsqFvhR1DoIH8sWAE9AgfSFRsRXHhiSY6BpcjFieqq8pE6BcVKittswUVa8s3UXHV66ArPOIKHeAzo/5EnycNKdelJ+PkHS4vaF2uDgLbrxc8RndcNlavEj5GXiNPP7Y1RK74YKDNT9DWC26xOlekLvSSGWkJ0li/vyYm0fzqHJ0Dq6L0lqkA8YtcU8hH4T/EsRN+f5WqBo5ppmwNQHuyvJzzM+ZoJOgbJ7Pj7lqETvsCsNtW4o4Vwjk/5TY40NOm+fpQcX+hJTXkgX5M1sB8BijizVXIy/DSUqhfhaw4vUU7dcCz0JMcwrHKj7hNe7co7pi/YGERV5mYB8vBoPBYDDUCTx/lmqjWex7OME+XgwGg8FgqBNY5GUG9vGSAq9cFK88I83LgDw6zuqQr6Jf2OWSnXPx+OjqGjA1BNLRKS1/ZhdfDLOzjFsdMiRnYOgrSxCR1vBCTdv4k0NuheXHE0NqXRrg+qlwWox0EP014BWczBKLYoqIROCkibJG7k+ejjlJ5qTjsJ7P6NCx3rS25JdphAaQirPkGCk1pkYy7PALiKBIpIimTtjPGCmHDHVuBDgelhxjWL0ho+d3LiGkrw1NG5Jrco1+zmxamyadgvA/F/dEiXmFwv+teSrMCafkwoxpFA9SNXz+5izQL7pJXT27JDP9g2jjfsMyj9s4TAamX6Yr2EbOxCk22Uy/ZVOoGZxHLPdX9CM5OmfQ4ZZcsnH8uZ98j5lWQiCl1MQFLWG9wA9xCipgNxEk7rjhYMI+XgwGg8FgqBN4vje7yIsVZjQYDAaDwXAwYTkvM7CPlxREDa0SFV4ozAjUSUxhddXmU8i3VLtgF27r0Xb++A63MqyLg4Ujg/o4rMZBZBwdFBNt4wHl4rdpl0ukcTy6pjgi/gXRuUivY3Z+6zzqGzieMt0F1FjUoOmuqOAUVRVSMWAUmbU1IVFcqI5IuMGmFD/EiD/TL0oJRGobFCaFMRUNpMJxWOTOC7loJDiAUtQc6YnmhPoGlEDEjcwF9Q1fLx6TFTydBT3+o0BjcKHCAlBqiT/+4JRk+KruBV6DiMhwEekufdAmun5UyWViUqkBAlaX5dx4c99wbPyUNh6LCs0NVKlNpRQ3HSO5FR42x0owuMdMheGbPzFOfCEwcbNxUTfhe4vnKW5HRRtjoIoyE/p9lkUHbVJkZqgorj4o0bT4finXdulm9WYahYlO0Ph7gN/fhgMP+3gxGAwGg6FO4PlB4g/Kfd3/SIB9vBgMBoPBUC/wg5l/s9n/CMCRQX4ZDAaDwWD4rYFFXtLgZ6qcp5ZD628+xRB7KW3ErXplx5MGOzeptmjSVZkOhwb0MYuav83MX+y61t6ltx0HmTXltXg5l2fBeSx+3nHNYaFdtWGuSpQjKTg78+5tchjIn2cOjHpgPW4oHc9S/lERKtuyHJVlplgtmNWSGeD98ym5BJwfMg1tnOdQCl1/OMcmARw3qnqLa3ycDPxVxZWrC6CGj+La5+d+42FYYjxe0vMG8yeCxHjXPKWSWGfofueUjQA5zMLfX5zj0+LpHAwl46ZcqQochzNOwhBzbigfBi5qnPJRULocUo5LPkiZi/TITEGeD7vYYh5RgSq64/3n6u84VJxT5U9T/gZInhMO4lkn44/5XQD3LWzpVk04jLnEs+/OwTmDwWi/WvfKUM2ZK0c/90R1OdN7nO73pKtcXXz0XtU2NeDsHoaf2aLaGue5vlamXf7PWLF2vs9+h+/v/Xu11v5HAOzjxWAwGAyGOoEXBLOqDH2kVJU+Mj7BDAaDwWAw/NbAIi97CwyXxvTNh2FtcpJE2Z1f0nJgdKoNB3U4NC5BqDZD7rcEv8NJkCtzlujGOe78HlFDStbNIVeUGXLxQwg7xkFth9sE6BxqW94PY+fkoqsoPC7iV3IF0gIo8CaSdOdEViPBaEB/vOK4aso1uONyOD7ngZSS2vLiJO0eX2+K+jxNyunTvcnBWMXk2owUR6IQJUiH+X43phSpDDNEv8AYs/lpKd79diJaVsyS34YAHHb1IRVVxLRRoooj0KRTNACTZXcDUkxbEy62SBsybYPXkeZoK0KUGo1xC1BFodR2DWb6R82xMsvtoa8sMeaETrAmiMjtWsmjmTKH53Q8Rf7NPBk+7REXwaVnCiXXCVq+3dk2hBUt8Q58Z0WRe80f6PPDc9NG1+SDrLv0xP3V5fzklIh8Uw4KLGFXROzjxWAwGAyG+oHvz/Lj5cggXOzjxWAwGAyGOoE57M7APl7SEEcupArhw5jcUBXFEFHoFhRFXv8G1Vbc8HB1ORwfU22NrzrXHZ4cdP0ChVKLcA4Kj6ILZJxJUQIx3YVFG1lBBGORcO5kaigFgV87dB1COharVNQpuW9wb3g/1gPg3y7snOqBGiWgwnEB0H0ehbU9LKhJrsFY/DKmYovsFIxKqTylpmWx43z9ai4S3YSKHqkNpgZKcJMjoi1yNMZ4F0uV2socLuIXQN+4iOF4CjWDDsdM7/EY4y0OPFZpuXV2LcZTTtGQtoL6ihVEilIhqtmjQpyqr/wMwXEy5BQraSpIbGNKDQ/v52q2idC4UZsXpLgPA22XeBZhTjXyFIb+lOgF08AUMozVtGh6HdV1MT3DMbp2E02aKPYKQHWlf/bRbnl0TET+d839DPsf9vFiMBgMBkO9wJtlzotnOS8Gg8FgMBgOJixhV0RMKm0wGAwGg6HOYJGXvQTKjL1pnZ+CEr1gTFeAjsdcfkTxyQdUm9/oeNfc0oWqrfTsY67t2OX6mMTXRx0L3PlHt+m+Ie+dkERCG8scVa4MccCwn5ctUBsdBzjxmM6BdHZM39FpclVsypAfKp6Pj8FyVeThE6k76PLJFa/xGKPb6QeQK0S5I2l5DRnOHcGx4SQMEHZXaNxK4OTKORgZdCNlqTb2J1f7tRDSoHIeEfaGu40OtHMa9F9/mHPSmqc2lAOXJlWbNwUV3bPabZnHGN2PWaqNTsUJ91uYY818o2LUuNO44dzXLVIko7CQE0YAOThOpoGeRciHKXm6DfOmmrO6b3hNrOLeNa11+3mVq0T5V7DKc2MEKn5z7koXVCPnCueYx8S5UbHoZwpPmfhLHMbNq0xzqzsm5cPoE7BNBDzf+KwfROM3S9idgX28GAwGg8FQLzDaSESMNjIYDAaDwVBnsMhLCjIjWyQTvRBSnBqruV044lwX4ybt6opFFctjWspZmOuooqBzvmrLLljqjkGFEb1QS6ejQsdulxleUV9DDM6ZXgo1kiZ/5mOydNevwNgQjRKkuHzicSKUNYpIMULHUXKx9YDCS5ERz6zD6cidFCk1piOCEeeGHFFRuQjGlGXkiqpIsAT6B1jgkIs/jhRBRk00BobZAy4xiM7IJI8NQarNdxtpA/ZJTUhZ8fx0IKSGmKrwMaxPsn0PnKljKsQZ5RxtybSJT2OMfWXpLlIVTDdOhiDHpv2yME/4ZYp0CBepZGdmlJWTGlwVMcxwx1OeTdx0slLb4TZDA8W0mQ99ZbqtpIpW1qaG2JkYpepcMBWvl+cJU1O4L1NM+Lwn7B7QUmB6VDXx+1W14TwNMV1gfDdbHyCYSZ2IWOTFYDAYDIa6wYuFGWfzb19x1113yYUXXigLFiwQz/PkP/7jP1R7HMdy3XXXyYIFC6RQKMjrXvc6eeyxx3Z/sP0E+3gxGAwGg8FQExMTE3LaaafJzTffvNv2T3/60/L5z39ebr75Zlm7dq3Mnz9fXv/618vYWG3GYrYw2igFpcd/JaXGmbA0utxi0UQRkfE+RyPk22tnrheOPUmt+0Ax+Xmt2glbXLFFplsiCp2jqy7SFiJUrI3VLxhyZtUQbkdqI+UOmtP7saLIi50jpVcm91+gYxL7wTlYYVIA5VdI11uK3JTOpRWJFNn7sPLUiG6CkG2w4xndNu9Y18aunhCuTUT/qWsoPkkU9cvUbgvA4dljN1Yc4xQX3SIpXxqz2G99PhINKcqB6Qc8qs/qD7zfFLZXyjdWhsB9YhPZKboOZC58Gjfclu8NqnaYUmoGh93Iq00NMb0WEY2CtEqOnoUCdIjZxiiF7sNzJpywATxuTFshHcNiK1S3+Z4+yTSMWxspyHCMuX5mihlwkjaD9xs7BaOCMSCqBN+LCSdmfPZZoQlzERWocfkgJsH6/uyon5ew75ve9CZ505vetNu2OI7lpptukmuvvVbe9ra3iYjIrbfeKt3d3fKtb31L/vRP//Sl9zUFFnkxGAwGg6Fe8KLaaDb/RGR0dFT9KxaLezjx7rFx40bp7++X888/v/qzfD4vr33ta+Wee+7ZL5e8O9jHi8FgMBgMdQLPD2b9T0Skt7dX2traqv9WrVr1kvrT3z/DPHR3d6ufd3d3V9sOBIw2SsHokxskfsEUKg7B8Glhl9puzjnui9PL6OJgqDYKOnv0CVrdcSot+sarIn5ptI2IRFgckEyVlGomR9+qSJXsQ3EyRbdQQcGE2R0WtOTzg4mUsNoHQrlMKfmgDmD6wQ8cHRLStzlHnJX6iMLDGC6OiZqKYaziBq0uyw5urC5HRMX5zXPdCl2vX5pS64qeoXuRDWrfG5w3fC8ioFx4KBoSg+Owa9pdbzL8r/dDpoYNBAM0d6TrV+ZfVOxSzWE2ngPaIq6wokWfAumPKVLf4KY+XZOiTYhuwt6wogZpm7GiNn6bU9DPTWMWVDN0DqRV0s7B14vXkWAekTGmRr5GpVoj+ikPxoc5Klibz8N9EwI8XzmmMeAdxsVFY5r7uB7wnII2ps2CNAUl0K1IDYmI+Eghw/n88YOoNtpP6Ovrk9ZW9/7K5/MpW+8ZrKCL4zjxs/0J+3gxGAwGg6Fe4M0y5+WFD7fW1lb18fJSMX/+jM1Hf3+/9PS4P9AHBgYS0Zj9CaONDAaDwWCoE+wv2mh/YenSpTJ//nz56U9/Wv1ZqVSSO++8U84888z9ei6ERV4MBoPBYDDUxPj4uGzYsKG6vnHjRlm3bp3MmTNHFi9eLFdddZXceOONctxxx8lxxx0nN954ozQ2Nsq73/3uA9Yn+3hJQZALJHihSF22xeVgZLt1EcXKVpfnwM6H6JwbU66K4tknBlVbDBLksKlTtUUk7cPj1C7hJ8nCjEoqrflqtS3zw7DO+TcJKSty1pwPg4dM4aBZnurB9fP5vbQ/KrjIGoDdWXHgOJcgI+iyqWW9lfZF1WWfJNbepofc8rwlqg2l8SLpRRwTTsHqJG5brvUXpullAXwn0Ck1kVdBMnaVr1Ah9QLmP5HcP4b5x3kNqtt8TTA5CqTxTVxujPkh+kJQ8pyovQjLHudmQV9ZDo25JM05KsTIjrMw4Uo04bGgZUOG8wrc8hSdH12a+XwoDY+5niTlvHCeEQKfW5bms1WAArgosxWCyqnj9xLncSn9vZ43OOKqKKlIKu2i3mF0v0N4v/uTruhunKntyrvfcQgcdu+//34555xzqusf+tCHRETkve99r3z961+Xv/qrv5KpqSm5/PLLZWhoSM444wxZs2aNtLS01DrkrGEfLwaDwWAw1AsOgc/L6173ut1Ut3fwPE+uu+46ue666156v/YRlvNiMBgMBoOhrmCRlxS0LDtNWptm6Bsv11BzO6/gpJ1Bm6Z40I2VixaqcPTksD4mSoCff0KfsOc4tRoBrcTCNHQrjcgNF7dNuLGqwoTk8Iu0DZ0vQc2gWyXJsb3YnTOiEDOGgxMFBlPCyorWYJqMxj+tAJyS+bJcM1Ob4lCg8wXtIKfk+03yYAlg/OkcUyAPLqQUo8vQ9aMba1JWC31JFLB0clGvqMPvPhf7zNR+TtKccpHxSPkDLwGkinieVGIu+OcOzA63CI/df5Gq4MKjRXdPGwLdFsFYsPx4sqz7uqvo5liiwKDujF6D1WayIkDaqqQVv4IsVp4qaPLpSykFJv00ejmFMlZUEb8XiRbXjSS/TzkHvmBjujdeiqOz5zm6U1kPiIhXdpYGuF9aMcf9jZdanwj3PxJgHy8Gg8FgMNQLwCX3Je9/BMA+XgwGg8FgqBfYx4uIHEYfL6tWrZKPfexjcuWVV8pNN90kIknHvhfx6U9/Wj7ykY/UPNbw8LBce+218r3vfU+GhoZk6dKl8rnPfU7e/OY371Ofgq4eCZpfCOdDkpNXoJA3OKdWODwK2epRXmdeexC6jlvn12yTNq1uCoaeU+sqdJ8oJOZC1z7TAdDXREHHaMKtsBIKHV+5oCGHgLH4IjsFQ8gXw+8iWlGUdMqF9QTFkeKaS/emARxfw8YO1VYM0VVV9xuP4hPdpsPKpEzJAt0WEL3G4wZUUYWuv+ADbcY0Ai4T3ZWX2morrwj3m/bzYZwiGqeoQc8bTbFQGB9oQ1RqzOwW4IreL6jtsIsuqjGNU0TSJKRjGnIpqhUG3JtSTIqmjKP7EkUy8dycXUjVB/OgIhqnSoVIMYU03bFoZs5jNaE7Jr9K0VE5USSU5m0DU8pqW0eXBGPb9fnh3eOVyIEWxhTfnyJEBfMzzMqkDN5/OgW4Vsf0C9srTUhNoGvv2IBq8qedgrC04eHqcmVCO2QbDjwOi4+XtWvXyi233CLLly9XP9+2bZta//GPfyyXXXaZvP3tb695rFKpJK9//etl3rx58u///u+yaNEi6evrO6CSLYPBYDAYDgY83xdvFmqj2ex7OOGQf7yMj4/LxRdfLF/+8pflU5/6lGp70Xb4Rdx2221yzjnnyNFHH13zeF/96ldl165dcs8990g2O5NsddRRR+3/jhsMBoPBcLDhzZI2SjXDqh8c8k+wK664Qi644AI577zzUrfbvn273H777XLZZZelbveDH/xAVq5cKVdccYV0d3fLsmXL5MYbb5QwDGvuUywWE+XBDQaDwWAwHJ44pJGX1atXy4MPPihr167d47a33nqrtLS0yNve9rbU7Z599ln5+c9/LhdffLH86Ec/kqefflquuOIKqVQq8jd/8ze73WfVqlVy/fXXJ34ezz1K4hfoJiVXTXGcZTlymhttBFw+y4iVjJr42cqcJYm+1uobVkVNSKXhnHwOdPXlvqU51SZcdFPGTUmXfZJRA+8esPwWK1lzzgs6vHIbj3+DoxI5PySn7g1VgAbnXHbRjXdsdvs1kOSzzUUSOceGKymreZOwTXZt7HDrT4HrJ8u4UbZe4Qq8taXZmOcSkdvzPiFw5494nuIyS5Vx/pHEuggyXnbU5TwPPCPf7wyOI+VmYc4VG3XhaoUSZyZhnfNYOMcGZc0sle5pdnLdhDPvXhbtZUdhTM8J4to5TiIiwaij77nKMubxJWTyeI95Tg1udcvPPKzasguPqS6Xe0/Tx+QcO3TqZUsF3I3y9vgeK4AbL+fqhEMuByaacH/kRpO184L2Ozwv+TtoX/c/AnDIIi99fX1y5ZVXyje+8Q1paKjtDfEivvrVr8rFF1+8x22jKJJ58+bJLbfcIitWrJB3vetdcu2118qXvvSlmvtcc801MjIyUv3X19e3z9djMBgMBsMBh+fP/t8RgEMWeXnggQdkYGBAVqxYUf1ZGIZy1113yc033yzFYlGCF8x0fvGLX8j69evl29/+9h6P29PTI9lstrqviMhJJ50k/f39UiqVJJdLfnHn83nJ5/OJnxsMBoPBYDj8cMg+Xs4991x55JFH1M/++I//WE488UT56Ec/qj4+vvKVr8iKFSvktNNO48MkcNZZZ8m3vvUtiaJI/Beyqp966inp6enZ7YdLGqJ8m6MWUlxdUb6H8ryZNhd2ZIdXyToaJ+EqiSF+Crl6HLoGOTKGUUVE4qB26Da14BpSLpSdHmdA8svus9xXkFkmiqzhmPLYpMihkcbxyrr4H0sidV/0vUEZZKVzid4Wzsn31AdZMdJEIiKCNF03OSGjHD3FbZnPnyEZOUrjvQq5gwLlErZ06/MjNZXmDMy0IN8bAPc7TXKMUubEXUJLAaIfyjAVcjQXwnjvQ+B55FhSalvyc4HOvT650Y4CHTRCrrlI1eQDpm30Okqlw6g2NZSL6X6X4V7RfcMzNBDdg/OEnyEG0oZxjpywYU7xM6zeIdw3LGBKfSvf9wO32+P3qbYMUEoiIsHcBW5bllwj9UrnEJRRZ+kPV3iHxlP62YvLbp72/dc91eXx0sFz2I09P/XdvTf7Hwk4ZFfR0tIiy5YtU/+ampqks7NTli1bVt1udHRUvvOd78j73ve+3R7nPe95j1xzzTXV9T//8z+XwcFBufLKK+Wpp56S22+/XW688Ua54oorDvg1GQwGg8FwQGG0kYgcBlLpPWH16tUSx7FcdNFFu23fvHlzNcIiItLb2ytr1qyRq6++WpYvXy4LFy6UK6+8Uj760Y8erC4bDAaDwWA4gPDitDrXv6UYHR2VtrY2GXzkbmlteSFMiooiCk9iyDvplOqUAly8K05zFU2hTRL0C4ZHSRmDIeEEpYIKE6YGUgoqKoorRe3DSChzkDYjFUlCcYL7pdAYaeDik0phlSjqBlQB9VtGd1YXoxGtYvB7T6guMxWl5sYenEMVNTRICeRAFcUcDu92YXV2w0XaLM5pdVMZ3H9LJNtBhoP/ZuNCfVOV2m6wSI2kgZUxqLDhNuUqy2o2Oq5yceZnCh2dPT2/SkDjFCu1XXtZxIF9TSuEyWAFWVrRP1U4MOGuXZsaVM80P7M0jlg0Na0QaxqFzAomgec7ILdlRSEO71RNSNvMtO9wy0VN7+aWnOT6llJYV/JahYlUEbroiogU+/ury49+/a7q8kSlIm+6/z4ZGRmR1tbW2ueaBV78vbQLfy+9lOOMjcucU88+oH09GDjsIy8Gg8FgMBhegO8nS2/s6/5HAOzjxWAwGAyGOoEl7M7gyLgKg8FgMBgMvzWwyEsaJoZEvBmONRobrv44mKs56TjveEOuzoz8cUwOt5i7keCL0/Ij2B0V81MoBwIry6a63zJSqjNjDgi61M40klwS8wz4/MDJc85HBXIwMiHlv2B/WJqNsnVy1fRH+tV6NAnVkil3JYT1TM8SffpplyuT6dVy6DLkubDDrwe8vzetS1BET2lJaFhy15w96iTVFrfOc8fhv6IgP0JVGxeq3kt9y4KkPyuEtNwokua3Qg5KlNd5Bmky6iAC+XuUpmOu3cR94fwMzB1RuSIiat4mC0C7I5XI7hjzg0hFLcWodlsLVZXG3BHOVVHrnGMG859MfFWuEF9TPgv3Mc0xW8iagN49Km+MJO6qcji/s+Cayl26Vh2ew2vt0W2Ut5bpcXkulfW1ndqjaaoijXljQ7pydDQ+7DbbpXNuMM9lw3r3jpiKa5ef2e+YrWLoCIm82MeLwWAwGAz1Avt4ERGjjQwGg8FgMNQZLPKSgnD+iRK2ztAiyp11fIfazp8GKS1RE1icD+klEXJ2TJEjs/w5KU9GGoWk2g3o6krF8PC4qaF6pj8c5eGluFOKiPgQVvbIqVZJpSlUHqRYoGLo2Od7AVRRuO051VaGcLCISAyVxmMKa2cXH+/2e36DasufeqbbL6udkTNDz7u2gU36/HAcv0nPBZR1iohUWl0Rx0peU3NeBRxR6d4oN9SU4odcxDDI1S5EifTiVERS5RTZOkulJ8GBtkCy6QqQVZmEG61b3qeScuzqWkl3kq1uR/uVY2cxkE3TOBPy2dpSaaZ4sinjiMa9UzSoBThuMaxNm+UyTFM52iRBQ6f8ZZ6QX+O2TD8BjRSTbF8dgt9nuM5UM9lEYH8yJ56h2qb+59+ryw3LXqXaVIFFSAkQEdn50OPV5Xv+6Vf6mDypDwUs8iIi9vFiMBgMBkPdIPa8WaqNrKq0wWAwGAwGw0GHRV5SEEwOSRDMhFexAFnYtlBth861rPCIIOSecHgF91tW7WCmPrexO6oq1MihcuxPmjNtQkWC6gdNDUUtTrXCRd2YxsF9w+YufY4UF1t02PXJgTPsd3RQZUifr7LT0XZ+TitKIiqeFrS2u+W2Tr3t2FDNtvJTD8H5tum2Cdfv5le9RrXlT3PrIbk0l7NaiRal0IZKNUP3BkPCTA2h2odpDASr0EqxOyaLZPgcaYbdLTkszEjhd/xLkq4XC2GmOSEnaAumI2COM/2B11GJtRM1nrFE14csAjMzsTqmbssQ/ZRG6SEdxO7HTTDF8yRpwnvFrr3q+WYqhhV8OK4J5WNtB29UV3rksIvzNqGQxDlN442FbkVEvO3Puk1L+v3qN7jr+ovTdW27i1/t3uFbNuj3S0uDmyeHBU3EMNpIROzjxWAwGAyG+oHnJWtR7Ov+RwCOjE8wg8FgMBgMvzWwyEsKwsYOCZteUBulhMMx7MnqEwyzqoKGov22YqYNmqDYYlGHSmMywovQ7I6pqci1IfXFfePii8ImXghUJ3ABRQpJBpO73Ono+lEZFPWtV22j65zhVEyh20yTCwdHZd3vXIs7R7b3eNVW3rZRrUcTTjUVk4mV10jme3j+TmeclX/Z76q2PJoSkmlXBcLobPZWoWKAKgCfRumR8SFTDuow3u6XZ44J85SLiwLfxHSHxFyMD+YiUwxlrTbb2/2QNuW+eSm0kaKbRD9HAVNxqIYJ9H0rohEd/dWKiiKmzLyUv3ATaq+UP4bxnM252nSTKlIpopV/Pqt2XGG/hCotzRSTj4OFZ4n+ibBgbErhWTYzVGpCooy9MplZgplkZdsm1bb207dVl//qqjNVW/vxvdXl+Y/q98Ld/6qLMdaCKry5bzq42cFoIxGxjxeDwWAwGOoGVttoBvbxYjAYDAZDvcCbZVXpI+Tj5ci4CoPBYDAYDL81sMhLCrw4rua6KBlg2pcrfxFjkTHixPGYnA+APL/P8meSJ3ux2zdRcA7464BlzJifwS6uILFmB06Ug0fDuqhZSG6VIfDg0RP3q7bta9dVlysTOncmLNcuFhdOu/7k25tVWxbyYbxN2u24NKpzIJoXOrly4jgdLpcke9SJ+vxdS9wyOYeGkLvC6Sch5I54xJHnKHekAo9mhu4/Fv/kHKc4V7vYZka5sereZSCXpEJtAeS5TFEbO+wGKbJaznlCoONsyCMHqz6dH+XBibHgZ6HBuRpzYcwAnLE9yiPKwLPBsmLVObqHoefuBee4JFKHYLlCFSwxH2aKNNfDFfd8teW1VLkRXkWcf4X9SeT/8H0LaufUqcKzNN743mC7B8yxSxR7hPdkzA7eLKNvaa8uB6X5qm3l5z5YXR6+Xxdt3H7fE9Xl/nXbZW9RgPl25p++uro8ViyJfPbpvT7OrGA5LyJiHy8Gg8FgMNQP7ONFRIw2MhgMBoPBUGewyEsKgrF+CWRGXhmhlJmKH0qKPBZDqTGr6VAuSPJnLU+k86VIST1y0lTnJwdMLJoYDG2ueY5wyzOqqYTyxJ2amkFXS0Z5TEu+p3YMV5dR4iwi0tTpXG1jKvbYefZZ1WWvQcu/g+7Frt/b6ZqOX6lWUXYZpRQ/1AJQUfcDCzGKiAQwxlGTduYNgDYhZkCmIro3EDoPUhxPmYrBKZZwsYVz5oUoDnHnyHt0xTD+GZZ4E/1VEqTNiOLB86VIhXM04onCgdgGrslMMSQk37DOf7XFQEewo7E/DPeYjhlCAU2Wasd5N6ZpVJCISASy2xJtOwGVGVtzep4UMm6dZexIPeq99PlDn4qixrUp2zTqj9896ATNRTFxjNEyYeYk8O7ZsVU1RZPk1AuuutGUpoUnNrnn/5n/fFC1DT/naMPto7ULdna36jl1ykUvry53nnZCdTk7SXTagYRFXkTEPl4MBoPBYKgbWGHGGRwZn2AGg8FgMBh+a2CRlxREhVaJCkmn1YgUJl4JlEIpheMwjJrYlhVFQBuwM24iOx/3TaGYEueHjP94RCuRIlANVQZ18cGhdY+502W1wiDfoVU7Ox92lFNLb7dqQ6po4Tv+QPctA3RX76m6bymOqwIF4DwqYBmRGiLOuvvIxeiQGuSiciFQfGn3hkPlAdB0HtGEWQrdI3PAFJMqHEhtIcybRuIKMFSfGDdAwsUWl4kaYB9mpBVKkf4LbyrFqRaLCMbkNhzn4F4QpZNGYySLCLrQPlOoErj7GAvdUyyuSufP7NxQXa7M047OSM3kiSditRHe40aq8IhjxdQQHpZpQlQGxUx1wz0O2GG3XLsQKDtqozM4O+yiozE/C/gOjXP6neEVHaUTdMxTbSEXcYT1THevamvtcGrCjoc19b3xsZ1SC21ZNzeOf8tJqm3+68FRG5SlmYna7tH7HUYbiYh9vBgMBoPBUD+wwowiYrSRwWAwGAyGOoN9vBgMBoPBUC94kTaazb+XgC9+8YuydOlSaWhokBUrVsgvfvGL/Xxh+wajjVIQ5VqqElol+yOHW+UeyTw75pUwt4w8sKezB6IcSI5jlrzSeljb1TQYcw643pR2Fa1AleWInHFHHndVnsc2awfKhk5wKg30+QapQmtUcn3zc3q69f75la4vc5aotjjj8gzS8jMSFYghl8Tn/IgM5bVg1duwthw3JndQH7h8PibmYCTyDPDU1O9sScvIK5QHgOD8CXVcrEBeobmIeVQFLWnHmZlQ9Fdq504k3JfBxTmfIekyONySUaxMQz5Mwa9dGptlvVhwPMeFixOOu9D3bO1KxvxyV/e/pHMb4um+6nLwrHZxlcWnuUPCtYskrx9vqU95JSonxa/toJywdIacDK7OrBy1E9W4dY6Xjzlf/O5RB63dxvkwMuCqzXsNOm8pngYLA3ovReN63YPnj2XUHuQ1DT69S7WxHB3R2uXyeBa89nR9THgvY1/i6YOX83IoCjN++9vflquuukq++MUvyllnnSX/9E//JG9605vk8ccfl8WLF+/5AAcA+3wVl156qdx1110Hoi8Gg8FgMBjScAgiL5///Oflsssuk/e9731y0kknyU033SS9vb3ypS996QBc4N5hn69ibGxMzj//fDnuuOPkxhtvlC1bthyIfhkMBoPBYDhAGB0dVf+Kxd2b9ZVKJXnggQfk/PPPVz8///zz5Z577jkYXd0t9pk2+u53vyuDg4PyjW98Q77+9a/LJz/5STnvvPPksssuk7e+9a2SzbJ4sn7hTw2Ln5kJqWLIm+WC+AWYMACCsKZX1lJlpCo8liBCmNWbGtbnoyKOMgWFEil0WnreSTlLO3QRxdFNTgI9NaDPUZ5wE7k8pcPKU4OOmggoVo+FEUVEjr3qL9xKuy6cVgF30jSKhSO86ACa5r4ak1SaZeQYus+wVBr/OmFKCeW5FCpXBe/4mFFtCpH7pmSvqfJ76huMY4KmLIKj8tSIais3OLqN3WBD8MZtJMoqYvdfGBufJOb43ATkRB3AcYts8AvLDaxwjvAZSqE0RPQ4svsu3tOU8Y4LdE/nLnV9GdSOzsHm37iVjh7V5rOjNtBW6HwtoulllngriT/TXVhgMuTirnA+fp/wnCrB+Sv0DgNLA+G+KZdw9vh1iIa1bDlGqTbRTWOPPabWm45e4k6R1wU1n/3296vLQ88O1zw/o6ED5maG7BXgmiY3Ovn15FRtl979jRmTupeuGHpx395eLS3/5Cc/Kdddd11i+507d0oYhtLdra0uuru7pb+/P7H9wcJLIs46OzvlyiuvlIceekjuu+8+OfbYY+WSSy6RBQsWyNVXXy1PP32QqmsaDAaDwfBbhDie/T8Rkb6+PhkZGan+u+aaa1LP69EHUxzHiZ8dTMxKbbRt2zZZs2aNrFmzRoIgkDe/+c3y2GOPycknnyx///d/v7/6aDAYDAaDYT+itbVV/cvn87vdrqurS4IgSERZBgYGEtGYg4l9po3K5bL84Ac/kK997WuyZs0aWb58uVx99dVy8cUXS0vLTAb76tWr5c///M/l6quv3u8dPpjwi2Pi52Y+UzEg7VGY1QudwiLhFplS/A/DwwmHWyh+KDkdYi+P6kJm4ZDbd3qHzqqfHnT0wNhmTRshggYdDs80uCtm2siHEH/vOS9XbbmFR+m+9S6vLifcUJFGIfoB1SdZ/riHkP90oMPRDaG7N0xFcTHADFAOTHEohQ3dUyx2mSg4h4UZSWGC/WZFCUONB1NT8DcH0y94iQklFrgB8/Vm0NWU+w1IU8mIaAfemByN/VGnWvNI7RMDjdJAhThRNVOJiW7CoqisSiOnWnT41QSD6GKA9DddJartcCvNzsWVacrguYdc2w5NKfmZ2vQ662Bq62JE0TF+gWhSfL8wbYPUY6zPEJPDLp7Do8KQ6t3EdBsUTWS6KY1Giqddv6MJPU9bTjlFrT9y079Wl5ka2jKg6bdamEPXdOyF8E6juTjxxCPV5dGNjnYfK9amr/c3ojiWKE6dFXvcf1+Qy+VkxYoV8tOf/lT+1//6X9Wf//SnP5W3vvWtL7kfs8U+f7z09PRIFEVy0UUXyX333Scve9nLEtu84Q1vkPb29v3QPYPBYDAYDC8ilj180O7F/vuKD33oQ3LJJZfI6aefLitXrpRbbrlFNm/eLH/2Z382i57MDvv88fL3f//38o53vEMaGhpqbtPR0SEbN26s2W4wGAwGg6E+8M53vlMGBwflb//2b2Xbtm2ybNky+dGPfiRHHXXUnnc+QNjnj5dLLrnkQPTDYDAYDAbDHhDFSQXmvu7/UnD55ZfL5Zdf/tJPvJ9hDrspKK1/QEqNM+y4B7kV0ZTmUqchkSnDuSOtjssPx8m5EqJX2YXHqLYYJM/lzU+ptq2/fESt+1l3GysT6bkUtRBO1+Zsj33rq9V6tsdJ7LLH6ZyXsG2h3hnygzhXCJ1LlTOsiBSUc62epqUInHE5Ax7yXHxyQ82MbdJ9g7wSrhQuKpeCJKDooksOu0qCyvL3oLZrMLvBqvwByiXwIQeE83iK8INGn3JHUqTC6KoaUs4LniMb1r4mEcpr4pybps7qcjCqk/8i6FtEMuKS587BmRIhVKDmqsqlFOU0j5sP45GhytlqpMosOYb5zdfbA1WmWTZf1ufAyvTshB2r3BGq+Axzk3OM1PizbB4kyCy7jVp1Jec473K+EvJ3tHtgR2voa1yk+Q05MIlranC5O960HqfpzTqiv+tp5xy8dVBvmwa8/y9/3xk1txu49yG1PrTB5W1lC25mTJANxoFEHMcSzyLnZTb7Hk6w2kYGg8FgMBjqChZ5MRgMBoOhTnCoaKPDDfbxkoJ4elLiF0Lvafc71+JC5RGFlYs7nay5NKbDms0Lncxy9IFfq7ahp1zBt8qkDrl6vg6YYfHDfUEIfW2c267aOpc559DCK16jz9ftKK6QnUqz5BWAlAuHriEEXWqaq9oy6KJLYfw8usiSVNiDsfA4NE8F6EKUuVK/MZSORTlFRGIIx1c8ff0ZdFTmcDjKLrmAJ8vvkY7gcDxKrlmeCxLkEj3e+cjNIx6bNGl2DAHaSkAFHVkqLbXhoXNsmsMwzalcjPettvstI0edieG5YYpHUu5N2jkSdCMA73+iKCjvF+G8pecd5kKwq0+1qUKFZKGA9AtSTyKinWNzeu57O0nWDXLomAss4riRpYPfCPRj6xzVVnz0V9XlyU36fE99777q8is+8Seq7aH/9zO1vrdU0SvOXaLWe3/XFc3MNup+b/7vB6rL+XZtk1DocCL7ha9xxxidKop856d71Zf9gSPk+2NWsI8Xg8FgMBjqBBZ5mYHlvBgMBoPBYKgrWOQlDZlsNbwatDmlBLtFZnqWVJfLfbqu0/gWFxJtO26xaisNO1WBn9O3onFee3U5JCoqDnUYe3rQHYdpK0T3q05S60g/NZ60XLVlul1fww6tIMKQe0jKEJ8K/iFCUJuIaJfVhIrFR2pIh9xR8eDR+fD8TLdEdH5UETH9JLDOpAEeN1F8EfudTSmoSJQSKq9ERBXSS7RhX4pa+RaMORdlr7lLdw1oG4+UWOhwy5ROJqo9pzxyY0VqiGk6wWtOoWISbdAfdr9Fh99EkUoqRohFUpPqGxhvpnhSXHzVNTKFmqIYY3UdtntEzcRZR1VUuo9XbV6Xexd5zz+q95tOcZgF1+ioWVO20qCfaUX30XOCrs0MnOP+iFaXIY21Y51+Z255wtFfUx/6omrb/DypnVKwoNPR+R0nLFBtqNCc6Neu5KgYbZyn6b2GTkeF+TlHvfkVotMOIExtNAP7eDEYDAaDoU4QSfIPqn3d/0iA0UYGg8FgMBjqChZ5MRgMBoOhThDHM/9ms/+RAPt4SUFp5w4pFWZkhFl0eiSpcrhjS3W5PKFzCSrTrupwcddwzXOxw21p1J2Pc146T1mq1tuOcTkpxWHNpaMc22ukqtZ5x6VjTo+ISNzkpI0x5bVEKNWdHFJt7CQa5dw5OCchTUrqTwzudjsRnbuRAObjtPbovtB1qHwFys/wi7XPkXZNmPfAOR+YA8EVtmPOiQiimm0+SMcTYwrr2UHtRhpB7gTn0WBeRVrOCedqJPIzQLrN70iswM25SsHAhuqyTzllXqPLzwgoHyPO1q6xxjJmJY/mfBhVZTlFxk73Is44mXFiLMDxNsprya3QuqpiLllqK+52u5nzu+v32nTuSjTk8kw8ruJcqZ3HFFPfKjCOfI17K/EOB3XOiw8y7o4TdX2cuQ+7vK2NG4dr9pPBrskNHe7e/OT/3aPazjhvSXV5gqpP95zu+sN5iuEkPHvwPvWkdpXw/Q1TG83AaCODwWAwGAx1BYu8GAwGg8FQJzC10Qzs4yUFcRhVZckYLkSZnYiWJ+c6tTw1DzTO8FPaHROPU6aCilODbr/mnnbVxsdpXerokbZlp+iLQFdRpmZa3HHjuUtUG8qKkcIREYmzjbvdTmQ3NAaEktNCzv400QjjO935OORddOHoqENLIKM8hHLJGTdBBWEIHmkTIYddCNuLiPhTSHeROykWvEu0QRE7foGwrBjD8SmOr2mF8sJG7WoatThaISLJKxeRVECqhOZQRDQh3n+Wn6uCllRE0APJbTC+Q+8Hx8ECkiIiMu7mJkuDPaaf5joKICGbx3sV0PMN1JRHdJOShjNtok5ArsVU/BLvR/IZAtoqhdJLyLjxucno8ca5gM+zyJ4KPOp5i88UuzZHw47+SZwfCs9u+qkuNDsxsPcFFhcvcs976yI9povOPrG6vKyVrhHsJlD+zPCo30Gzo9RwfNn1/EDC1EYzMNrIYDAYDAZDXcEiLwaDwWAw1AlimaXaaL/15NDCPl5SUB6flNILzokFCC1ygUV0uA03blNtSCmhgogRNOjwe67Jrbcs7tbHJIfdpmOPqy7H7Hiah3A0F05rbnf7ETWCCFv0+bFQIquNYnLcROomQXHgdim0BYe1ozZw/E0LozNtU2JaARxAiVKKUhxn09xhw7RCfejimtLvmb6CqoHGOEGdAKKCO3/Y1lNzu0SxR6R4UhRUMTsKp7joJgtTAqVGVCDeq7Rih3GO6b3aLraJubndqa/isYdUG7pkC/etsb12v0k1ptqQbuLfNqzaQkUX0Z04FxIqNXSJZioO2lBZKCJSyda+36kKOi52Cuvx5Khqi0YcpReOaOp55GnnPD49pJ/9gQk6P6Atq8d/wQo3x496yzmqDRWU0ZR+vhOFKhFAAcXT+nrx/VqBVILKVO335/5GFMcSzeLrZTb7Hk6wjxeDwWAwGOoEscwuenJkfLpYzovBYDAYDIY6g0VeUrDz4WdlOjsTio3AAamho3aomM3mhjdBocBA6Q8k3+pC5Y1d+jsSjedKozrkyTTS5MZnqsuFxUt0hyB0HPRoMyg0cYtJbYOha1bbqNA9hSAT5mOgHEkok4BGinZoBZUHJlYxFRhMAyozWP2RUJGQaV1NkMIGixpyIUocKzRsm9kYqAEqjMhAMzgef0W/eHpOqXPs4foVkLaLSBmDKham0HidixricUCpw9QI0k9syqfmJitqUujOhBHfUa74aMAU5oSjmMKhAdUU9T1VXc4e+zK9H6rkStQXnMOsyprQlJYUXF9ZNZSmKFLmemySB7RdOKLngg80il/Q8zQOax+H50YECq9oQtNG5efde4kLxm6+44nq8r4Y0S1/56lqfcG5K2v2Td1HovtQRcQU0tSWrdXlhk4qPAsKzclNjvoqTR9M2shM6kTs48VgMBgMhvrBLMsDHCm8kdFGBoPBYDAY6goWeTEYDAaDoU4QSSzRLMIns9n3cIJ9vKRgeOOIlDMzQ9TQ4aSFjfO0I2MATrlRSXO781/RW12OiZNFV0Y/p29F88LaeR5+g5Y8Z1odLxuRXDG3YIlro5wTVUSR8ww84NK5iB1cB+dceCk5EZzngZLMiHj2AHj4kPuG/LVPcmiQEbNrb8JVFaWs7I4K+QPemHZ8VXklnLuBMksh2Ti6kbI8tcgy7hTpOIwVFtAUIVk557hgzklKEUEukqmPUVvGKqJzMlgqrXI3WNab5igMY8wFDrGvfL4oIdt35wg5xwvnxrxjVVsGJNfRzs2qrQJ5HZlFx6i2IOv6xm7DlfknUN9gHpH8HMeD5d9eCSTXZJOA7xu2UEAZc9Sgc/g8klUjOB8ICyxWoECtiLaQKA7rHKMdj++UvUFvj77fHcf3qnWUgCeucbx2cVUsmFuhPEV03+VCuyMPuwKiIxvdWIyX6T1wAGFVpWdgtJHBYDAYDIa6gkVeDAaDwWCoE5jaaAb28ZKChWculZb8TOgXpcuVSR3SR8fbkCSBQcGFjrONOhxbmNfujkH7qWO0tqt1lvahcy66SoqIeJ2L3DnIqVYXJtT0i6reRWF8dKplOXCwa4NaF3T1HSUJKrhXogRRRCRsmee2a9ByxRjpEJaO4vGJRkg4rmIonwvnAa3hD2oZdzzHzYWI5biwzrJxweJ7CYk10UTlFHoG6IiE3DvF/VdLbnUTUmwhS9qRxmDqs1TbmZjpJ3QxThT/g/sYsTMyxLkT9B7QLQkqiu8pusqyMzBKjonerMxxBR19cv/NwvNV/PWPdNtCRyMF3UR3TJJTL9JhJKtWbsxcGBLvKb0X/E5XtJQl1vHg89XlaGxYtSWk8kAx+o16vvf/yF0zFyfc8bCj2PrXbVdtO6dT3ndARR/3lmWqrdCjbSKmn3+uujy6Sbubt8M7OyQ6Hym1bKOm9MIsFIwNyLUZUgR8sL7wI7IsOIAw2mgGRhsZDAaDwWCoKxw2Hy+rVq0Sz/Pkqquuqv7M87zd/vvMZz6zV8dcvXq1eJ4nv//7v39gOm0wGAwGw0HEi2qj2fw7EnBY0EZr166VW265RZYvX65+vm2bDgP++Mc/lssuu0ze/va37/GYzz33nHz4wx+W3/md33nJ/SqPT0nphXBjwyIXOh64+9dqO3Rh7DxlqWpDOoiz2rEtQ4UZg3anIkktIiY6rJvpXqzaQhXGJ2oI1hOOrxiOJmoC6Zdgp6aJYi7GBxRHZdsm3QaUUgZC3CIiIdBRiUJ1SBWQ2skHGoPVRuxyijRDwsUWFS7dWkXib3cKE69Vq8Iw4M4UB9NWujNE96AaKKfvm7oOpkbgnvoTuhhe2n5R3tEB6IosolVaTAV5VCQSi29ykU61X5nmm1+bCoxRiZS6HxW3LJMzNCrfUpRQHhVNxKNyYcaoeW51Of/q31NtxXt+UF0O5mt3a1Z7YfHNtHFL3G9QF7LDrQfut+wwG42ho7C+30HHXLWO+0bjw6qp6+UnV5eHn3hGtbUsbK8u33+nVmllU1iWo09y861ruVZ+heN6vu16zBXbbFqo+x00uGchaNSU+fSOXa6NaHkPxpHp/F1POLptCgpKTlRq02D7G0YbzeCQR17Gx8fl4osvli9/+cvS0aH55Pnz56t/t912m5xzzjly9NFHpx4zDEO5+OKL5frrr9/jtgaDwWAw1AterCo9m39HAg75x8sVV1whF1xwgZx33nmp223fvl1uv/12ueyyy/Z4zL/927+VuXPn7tW2IiLFYlFGR0fVP4PBYDAYDIcnDilttHr1annwwQdl7dq1e9z21ltvlZaWFnnb296Wut0vf/lL+cpXviLr1q3b636sWrVKrr/++r3e3mAwGAyGQ4Ewmvk3m/2PBByyj5e+vj658sorZc2aNdJAjrG7w1e/+lW5+OKLU7cdGxuTP/qjP5Ivf/nL0tW195WIr7nmGvnQhz5UXR8dHZXe3l7Jz2mRhhek0tt+9otq+/i2YbU/yufQbVdES/IKndqZFxE0k3MoyIgTXH5GS0Kzi4+vLkftPaoNpcyJfAF07iTpLuaOsFQZXVbjPF3TpM4XiAZd3pLf3K7PgS667P6bBjh/kJZHQuBcApU7w/lAmPNDeR7xIid5zwxpLj/YuckdIpviVLsnYK5Qi5aHxpCfknDDhXvK9025BpcnVZug/J3cYLH6Nzsos1ReSadJcispTrFhm8t5Ckb79W6QcxHnyA0Wr4Pcf/meYg5SIucE81worwSfjSin7Q6w4jU7+uaXvbq6XNn0hGoL5i5U6/hMe1M68hunVG7G9wu7a2Ouikc5L6U+yNsiOXDQOV8fB8eKjoNoXaL3e+r7D1WX03Jcuhr0O/P59S4fpfCtO1Tb0b/3SrVemOtSDVqOWaLaMFewuGtYtQWQY1gc0BYOUzvctk/82/2qrfcsl7u08OxTqstj00WRO38pBwOzpX6OFNrokH28PPDAAzIwMCArVqyo/iwMQ7nrrrvk5ptvlmKxKEEw86D84he/kPXr18u3v/3t1GM+88wzsmnTJrnwwgurP4teeLgzmYysX79ejjnmmMR++Xxe8vl84ucGg8FgMBgOPxyyj5dzzz1XHnnkEfWzP/7jP5YTTzxRPvrRj1Y/XEREvvKVr8iKFSvktNNOSz3miSeemDjmxz/+cRkbG5MvfOEL0tvbW2NPg8FgMBgOf0RxLKFFXg7dx0tLS4ssW6bdE5uamqSzs1P9fHR0VL7zne/I5z73ud0e5z3veY8sXLhQVq1aJQ0NDYljtre3i4gkfr43CKfKVX4QqaGO47WsN9cK1ExQOwd68NGNar0dioyVt+tCZXichvkpYVwRiScgrM9uuEgVpchqw45Fqi0CqoClq8GIK8AW7XxetWHBNxERD4q+xRUqXrbAySBjcqpF6XbCObWCRSOJKgAJaNSlZeMxOwwrV1UujAjH5QKHsB8f0ytCv6nYJIaxEy7JXXr81X1kF2GUDkdcUBMkvzRPcL94D/QPwic5tGpj+geckRPybyzEyS6+IFUPW/V8T5PGSxmoKCpumSi+iJJ7uv6wzdGtCRdfktEjsoPumeb7XQZrAKZMi4/fp4+Dbrw9WlaNzw1LldEd12/SFG4MxQJ9ct5GKwafCjGmWjPQM1wacvd/bLN20c237l00m912jz7WUUGnXPGHqm34N/qP01wrvF+430C3j27Uthv4ft22dpNqmxp0z3D3qfNUW3nCnePJ7zjLjIMplZ4pDzCbj5f92JlDiMPC5yUNq1evljiO5aKLLtpt++bNm8X3D7loymAwGAwGw0HCYfXxcscddyR+9oEPfEA+8IEP7NM+iK9//euz65TBYDAYDIcJTG00g8Pq4+VwRlOPC7ti6FBEK4y4DZ1zkSYSIWoIwrgiIqVhUA5Q+D/o0KFM7+iX1ey3V3JqDFWYTjSlxLQJ0gExqRgw6hhzAUFSQqHihkPXSFuhokVEVHG6RNgeaBSkiUREvDbnshnx9U7TdUB7gm5Dh11SuKD6xBsnF1ukhui++a1wj1lBxoUZ4RqDMR2OR8qDC0N6ENbnYypFV5CihErQiykFLAv6FaIonjSnWD4lzIWYaTqguzIjW2v2jSklps18cA5GZ1wR7QycANJ2RFMiTcZzOHPCq9wKFYLME8VTBjVSYt6AKs9vJboNXKq33KYLQ3IxQsSiN58DHaUimUw3ApgaC8E1/Jdfuke1BS+xVuEjoDaa/ov/n2obHdFzugQcyM6S7tvxXe65XfgqTfVP7oSisET1L339CdXlbJN+h/zma44q2j7q3ktTce0x298wtdEMjG8xGAwGg8GwX3DDDTfImWeeKY2NjdWcU8bmzZvlwgsvlKamJunq6pK//Mu/lFKptNtta8EiLwaDwWAw1AnCWaqNZrPv3qBUKsk73vEOWblypXzlK19Jnj8M5YILLpC5c+fK3XffLYODg/Le975X4jiWf/zHf9zr89jHi8FgMBgMdYJIZqcYOtApLy+61dfKN12zZo08/vjj0tfXJwsWzNB5n/vc5+TSSy+VG264QVpba5u5IuzjJQVxFFUdLD3IUUhIYMHlMt+unXIn+3VOBCLTVIDtdqk2PE5xpz5G67KV+kDohsuSV8ytYOkqykWpyi5KgOOSdqBEeWa4Y4tqy/Qs0ecAPp0lmWoUU3IwEtWRUQLbqfOIwuefdPstILdjzsFAF12WI/vg4jv4nD5OSl4Ljo1XIPdZ+IvH47Eg6XBUcHLRhIxbVVnW+UBhE0hgyTU5bYxVjg9VEceqzlxx2iPprHKZDSu0LcwxkiPHjXC9NXspUmnTuQsCDsP+GPWtpN2evUk3HsyXYw5Mwn0Y5wlJrHGM2Zk4zkKF711kKUCy3swCV42+tOFh1RZOuv7kjzpOnwOOE1Em5pyTnOS6sJDGDectuw2TazO6+k4936faUB6d8/WdGym/tDyQJkiW2To4mbKlRmtG35v+YTc2/WueVW3Y1zPerf3D0PriN1+9V7XtHHNz+IRT3ZyZqFRE7tmw132dDcIolnAWXy8v7ss1/A6WWeu9994ry5Ytq364iIi84Q1vkGKxKA888ICcc845KXs7WM6LwWAwGAy/Zejt7ZW2trbqv1WrVh2U8/b390t3ty550tHRIblcTvr7+2vslYR9vBgMBoPBUCeIX1AbvdR/8QsR4L6+PhkZGan+u+aaa2qe87rrrhPP81L/3X///TX3Z3hsNvnCde3u57VgtFEKpneNSiY3Q3tMDrjwcNsxuvjh+PMuXN3QqUPuSA01zddy6KgM4XgqzIgSSJZGcwE2P4O3kaiRCN1oKVT/3KOubfEpqg1lthygDIccjeS3tOu+kBwaaZS4jYq6AaXlTQ2rprjB8Z5xlovhQXj++cdUW4Dnn9AyanbqlSx8uzMdAFSNF+h+Y8g/LupilzFQI36mXbWFIOv223ThUHQUFhHxkIJIc9hNkVizMzBKiVk2j/uxa7ECUUEJ6TTeKxpTpKPYtVfTL1QIM60QZY3jiyQl9pWek6rLwbh2tPb717vjzNP1zxT9liL/TtBUeG8KWtIu5JQbF922yiZBRBoWOadodKwW0fNt3ss1pTQ1CMdJM/JMKbYoIhJNunuF1g8i9A6j3zshvDheqmwaqRkRkaZ5evxDcFh+4m5NaU2FtakVlFX//P9bp9pQft2R1eP22g+cUV2e+ypHN41OTovc86ua59ufCGM9ti9lfxGR1tbWvc4v+eAHPyjvete7UrdZsmTJXh1r/vz58utf/1r9bGhoSMrlciIikwb7eDEYDAaDwVATXV1d0tXVtecN9wIrV66UG264QbZt2yY9PTOBgDVr1kg+n1eFmvcE+3gxGAwGg6FOcLib1G3evFl27dolmzdvljAMZd26dSIicuyxx0pzc7Ocf/75cvLJJ8sll1win/nMZ2TXrl3y4Q9/WN7//vfvdSRIxD5eUtHY3SFN+ZkwKWaghyWtsCjMc0oJVhthWHWCFEVII0WTOqs+2wLqC3LA9Bt06DQadiFwb1KHrtV2I7WVT/60VqaUt7qCc+MPP6jaGrrdF7gH/RQRqUAxOhFNf7HjaYwuukQxoOKDqQKkNbw5pKJAumtaj2nA1NR07Vg27otqMhEdukcKTYSul9xQUVETpjncimiFS0YrAJCOSKNKEsoztR2ry4DCIwUT0iFRo77fXsqLkFVSSE1FDdTvlKKJSHkkFFTotky0YJzydktcBzxjTJvhXIy2akVJtORUt912rWjxmuEaS3pM2Sl3+uG7q8ujm3QRQXSxbT5F033RlBvj4We08g8VklxQURpS6Lcpvm/uOONbNN02uN6pjUqkgGmDOcU0B25bIE6pAVRDPafrIpVYiFFEZHJguLp84kr9nGJhyGyTfoYWnOXuW1jWVChSY4lil0gLNzkq0D+Iv0r3l9roQOFv/uZv5NZbb62uv/zlLxcRkf/5n/+R173udRIEgdx+++1y+eWXy1lnnSWFQkHe/e53y2c/+9l9Oo99vBgMBoPBYNgv+PrXv77HmoKLFy+WH/7wh7M6j328GAwGg8FQJzjcaaODBft4SYEX+NXiiaVRF0qNyQyqoQPUEEwxQNGv1hO0GiCadscMiArCgofT63+j2tioCk2kgs75qg2VSn6Hztyffuiu6nJlUIeqK7tceDhICTHHZLbFBn6o/uE2LIaXKDAIBSUl20htoMwZ1WFsNI1LhHyJflG0FStsIqDfiO4KYay8NKUGFeOLUlQzXBiSzdDU+cHQDgtoioj4W6HAHxn4RS1oxEbFLiEcHtM1+bCtT/M7oWgCqiom2gpppMyApl9i6FvYpuewMlBMU17xPWRqrgLzJs2wkRVVeJxjX6maxr/7/6rLTae9SrXFg86zgp8TLoY4+vTm6vL2BzertlP+xBUKnHjycdVWHHbzlN9LmQYodsnPqSrgSYVHyUARaeo5p79ctVWm3dzoX0cFRAHTFd23ZqCGWInUfap7Z807/UTV5jXq90QHzMeFNc+epN69PKg5iSZTlDHfN0BlwNF0lana2+1v7C+1Ub3DfF4MBoPBYDDUFSzyYjAYDAZDncBooxnYx4vBYDAYDHWCKIolmoViaDb7Hk6wj5cUxGFU5ZFRDl2Z0G6oWBCtoVFLGf2c41pDkioj78oF/mJwtVROmSISNOv8lNwS5xzKbpl43NJT63TfoHDg5CbNszd0unyRTCvl48AxOY+F80NQdunP1TkYmKOA+S8zO0IuA+RxiIiUN7n13PGag5esy0+IgvS8EnR5TZOHSqs2Z/IhXyAa0zknyuGX5bFQYDLOkVMq54fEkHfB/Ub33yIVbWwEqT7dCyxcyA67WOyR80qw2CKPIfdNSZ5DkudiXgnL/SHnyR/VuRN+2T1vYat2t1byaM4T4jwikJUnpOJ8XdgG+UmcN9V6/h9Ulzf+/WdU29AGN94+y4E79PgHWTfmYUnft7uu+XZ1OdesczfQcXZ8m7ZJOOkPX1Fd3vXEJtXW9cqXVZcTeR2U8+LBM8XWAEPrt1aX+ZeidtitbUvQeayWredbYbz5/TKp3xPYHpHkWRXT5VxElN/n9JhifiPK1NNQnC7ueaP9hGiWOS9HyLeL5bwYDAaDwWCoL1jkxWAwGAyGOoHlvMzAPl5SkG9rkfwLMuEC0CiVJgq5pxQ9i8CNF2XTItpVlyWoGA5tWarplkzPkprnQ4dXEZEQ5Jq8X/m5J6vLLIdGN+CWY7TkODM3RZRITp5YmLGy+UnVllkMMkiSFZce/Hl1ObtEyyWzp73WrZS1iy7KnznE75PDrnJ5zVPhPKAgEgX3QK6JknYGh+P9URdyj5t0qFyINkOqxqeijeiGHBJtJXOXuHOQPFQV6SzRuAGNxUUy0RmZZdQJ+itAp1o9F4LB59x2BT2ngnFHsfBcCJtB4s/ut0hxRTp0zwU9FVWUKFoJ95uk0ujGy20xFNBc9HvnqbYlJzhZdfFXP1Jtm27/pVr3c64/rb16LjZ2uevY/MvnVdvIdncfs0RNPXzrfdVlppt++aV7XJuv9zvlrSeo9Z6Vrmjr5p9pt+2tD7j3C1MZIfySRNdcEZHj3nRsdXnxW87RO8I7hOl0Rgzv14lt5GDeM6dmG0q8mVJCiXmZUgRQjl4ac2M/Tq7rBxJhHKuxfSn7Hwkw2shgMBgMBkNdwSIvBoPBYDDUCUxtNAP7eElBrr1J8oV84ud+Vg9brsOFlUtDQ7x5FdkGXbSxBJRKjiilCmS5B+ScGT37mFrPzEuhcSDMz4UZkf6Z3qHDqs29zuU0IGfeTPdi189tG1Wb36YLzqGTKLvRxmPunNy33AoIwbOKRBUtbKjZ5o/rY4aTWrUlhXa3G7uqIh1RpNAx0EHs4ovX4TWRazCuDGnFGB9HgGJKuPiiogrmkIhI4Pe5Y7JrM/Tba5mj2gTGiukuVFQFnVrtI1lSf8D9iAc1xYGzmEO+YddStx8VWFSqIXbYRdXIhL7fCRdd6FvEDsdIKdF8C0D9FOf1M+xNDrvtTjlbnw9os4bTf1c1HXeUpkIViCopwfN+zFv1poOPuedv66/0s4h0yNxl+r5V1jiH46cHtGJt5N+1i2/bbeury4UmujeAfE7P08mie6ZO/F8nq7b5r3IKSZ5v4bijaZmSL0/S3Cy5c2SJzkf3Yabsm3rce6o8UfuYuRb9DJUn3bugdYkbU28vVUn7A6HM0mF3v/Xk0MJoI4PBYDAYDHUFi7wYDAaDwVAnMLXRDOzjxWAwGAyGOoGpjWZgHy97CXS5bZzbrtomn3f5C7lWqoAMnG04qeWpGZAnM++a73Kc7OiG51Qbn6My7bjuhsVLVVsMzrGVXTtUmwf5GYWebtWGuSoxyZ9LTz3k+nLKGaot7Nd9RcdZzs9Q7rQs64WckBjkvyIi3pCr5srSbOUwTLJxr3ORWleVmynPAd13Y3IcDbdtcm0sh26H/CCWjYM7qN+uXXsjqpwt6Lg7pXN1ys9DRWbOh+mA3IaK7hs6pcYTw7oNckA4/8hvaZdaiCd038Idzv2YK5ynIRh2uToxjUWEzrjlEdXmVUDymkuRRovOx/HKdN+gOjfntWBejUfSfMm4VyjOmZkfuDaPfmHgvRBJOjWrU3T11Gybd6Z7vua+mtymsXI0PQuL3uzkyWeP6vs9PajH+InV91aX0dFXRKSxS68jMCekZfE81YY5fZVdw6oNJcgMn3JXQshPKY3p3B10LfYC/ZxgXgtfL76Xgwad81ga3X3fSsWDl/NimIF9vBgMBoPBUCeIolhCUxvZx4vBYDAYDPWCcJYfL7PZ93CCfbykIC5XJHoh3IjhyqGn+9R2TfNd6DZRRBFCl/l2HY5mZ0dEcacL5bIEEEOeIjrMWRnYottARs0FyLBYW0BtbceA/Jpok9ypZ1WXY6Zbek9S6+V1/+P6PT4semMXys0dfYpqwjB3xEUEIRzOheJQxi0UmmfHXZTSsjw3Qnk03Scs4hgTNeEhjcRUGFI8VLQxRrdfIVdbcqNV+xFt5QHFFA5qOXbQ4UL30ZCmEKNpKKDZSG7DuB3fwxQkio0Woa9EISI15eWooOXYTrdMcxEdjuPtWirM4x80unHkeeNBkVKmzfBVH3NhwFYnOQ96iLKFZyPs14VPcbxnfgAFBqlIaDztqAp2dEaJvUfX64HMN1F4FGXzRCk1dOvjnPb+c6vLO9Y9rdo6Tjyqupwhl+4QCiWiY7eIdqoNcvrXEBa+zTQRZUvvPizGGJOlRGkqhX6C93KaVDqgYo/4Pq/AfpXiQXTYtY8XETGptMFgMBgMhjqDRV4MBoPBYKgThNHsoidh7YB/XcE+XlJQGpuSUnkmnOsr+keH1TFcyaFTL4VuapzrnHk5dInAImIiIlkKpWJRRQ6rekAPDD72bM1zMKWFRRwzFA4Ptz5TXWZHXQ7ro+KEKQ5s47C2N/8Yt92opj9UcUBW28D5PaIt/ClSdFTIVRfPAcuorhLRlF6uvTalw31DhQnTFkFOU1pxHo5LhQqRGpv41U/1OYACYJUQUj77Qv+EQKP4haaabSIifrM7p0cutlgklF2DcTwCKvyJ86bCdBP2J6UQpYhIZTtQN6QEi0mNUrNvLbqgpgfzLdzyjGqLwNE5LuvzednaTrXcb6SKWDUTI/1E9A8/b6otreBhCp3d0KnpzaEnn6uxpUi2pbFmm4Z+Z6Az7uTAsGpLo9r53RulvJfHt7j3YlROeQ/Q+bS6ydFS0wezMKPRRiJitJHBYDAYDIY6g0VeDAaDwWCoE1jkZQb28WIwGAwGQ53AfF5mYB8vKSh0d0jjC1Wly8BvclVp5EwrVF0U3XC5QqkPEsFcoPlhPAdzsg1zdUXgNE5857r10KZZwgy4RyauCXILoiad14CS0DjQXHLpqfvVegUkopn5i1WbB1WPvTxVh4aqynGrdueMCy7vwOcKyCAP9udo1+Bwx1Z9fjin36hzVzxYT1SO3uaqDOeOXa77jRLnou5bCHkmLEdGOayIiKDLLMnRUWZbWP5q1Vbe5Bxuud9qvBvIpRlcg70UqXQix4gQDbtcAp6LKOVNSLwhP6ZCuSN4Tpb1xqrCts5p4grYOIoROQOXNz8ltYDjmJAxg1Se73ecIkeOi2HNbfkc+PyXIR9ERL8LEnljKXk8EeRo8HshDY3z9bunodONzTTZRJRGXX84pw/l0bwf5qdw3/B8Ivq9zMBxK9E7tAmug/NqtPxan390s5N8Dz/nnHknwiOlVnP9wD5eDAaDwWCoE4TxLGkjq21kMBgMBoPhYMJyXmZgHy97CZQSc3GuNLfG4pAL8471bVdtGLrk/VB+3blMS5WxUJyIlhYWKayM7r8ByQUxPJvp0kX0MOTMst7yVudkiq6tIpomEhHJLj7eHZOkrGnuoCh5jndp12Af6I+IxgLdUdmNlOG3QXFEXz8KquAfHQdD2dOP3qfacr1O4p2Qo6bIU9m51Wt2c8OLSR4KFATvh3JhplGQmmGaqjjsjhN06GOi/JmPycU2kf4I087PzsRwTSyjRvdbvt4Q12kOJegnaEfZtohI0AEFNUkeq+TnRP+wVLzWfgymzRTFxBRq2T3TOZIfl4Yd5cIUCzrA8rOvtk3UNqXjABUeEi2O7z4+hwBtVJnU11uB6ZdpTBknMiUZ7yOLAT4nAJ1yeWzQCZ2vCbHjce1EPTXkrsMPPOjnkfFBUE+wjxeDwWAwGOoEFnmZgX28GAwGg8FQJ6hEsQSz+ACp2MfLkY84jKphyxDCl6womhpw4fHGHu04i+F4Lqg4usmFrgtz22v2Y/gZTZvsfPR5td40z1FarBpCtC9epNZzx7/M9fNxTX9giD8cHVZteP0FclzNn3S6Ps5cUBiN6JBvGlA1lKCmdkIbOfxKGxRbJPUFO87GUy4cz1RFBA6s6AQsIhJucHQEuy1Xdrh7xftFE0TxAFgZI+NQyI6catHFeOrhX6o2VD8xbYEKG1YUtZzuim2y8gaVSeXniYohZLrgOpjSS7l+dLyNicdQRQyZ0oG+xURTJQD7JtQ/4IDLLsKo4mHXZnUMdu0FaozdhhPKIFBNsWoJnzd+vlG1w9QzUiWsWCwNOt6mqUcriPg4uM40TjRKBR8Budammm1Ib3PfwpR+ezSnSqOuiGOQ088wUv18TdODbi6WJvR92/W0e/Z2Dmh6ta3F3ad8l3sOs6EnBwsWeZmBOewaDAaDwWCoK1jkxWAwGAyGOoGZ1M3APl5SEJcrEmVmQpFpoVM0ouMCYCEYwXWcdJRq2/WYU+2wUVNx1J2Pw5r5Vl3ELy3jfnrQGSkN3KsLDJbWOMqh4/he1TYJVNjc05fp80ENRzZ3Y6rGA6ooYUyGRmmsMJnnxioa3anPATRCTCH+0oaHXT9RQSJatSIiEoDaiRVVSmFDRQxxvCf7tdqk5aST3H4pShRW6TCt4KHxIKtPgP6IqCAcHpeN6HC/sYe0mWDLqadVl/k+jT/6m+pyoVdTj1yoUKmIuIgehPxRMSZCRSPpmvxGdx3RtO6bCh0zTTWpQ/4hUBDZptr0TzhNcxgoJr6naqxI7YT0D99fxvQOR1Xw85xGBSOlxEqkMih8mLLOFGAOk0kbK3PwHZIGNN0UESnBO40VTGg2x2offNdyX3g9gDlWntLXGIVQGJPUQBGsb3tAK88GJlx/lr1aFwmd3OnmVMsCR716KcUd9zfCOJ6VV8uR4vNitJHBYDAYDIa6gkVeDAaDwWCoE1jC7gzs48VgMBgMhjqBfbzMwD5eUjC+bad4+RluGLnW4Q39tXaR4qiWknad5KSj07t0Xgty28z7ouxv7lItFWbgcWLKM8g2Ojkf8twiIl3LnRssy7/nHevaIs4BAP6e80FYAhpADgTmToiINC9/hdRCCJLj7NGn6LahHbtdnukbOszqviWKCkKOhJeSg8Ey5jycc7xPz4WxJ1xhxIY5VEQOchAKi3SOEbvRZiBfha8D3WGD1nbVVupz8y9o1xJYlAA3Ha1dmzFXBaX/Ijqni/NY0G2Zz8HSYc5XqQXOawjHUdKu2+KU3CA/p3NQMOclnC6qtgDzVRKSZ1in8+O8SeR0YdFIKgTJEuBsk+s7P4uYr8J5JYi0/RiYV8I5NXz/8ZyFzjZ9zil3Tn6/jG50juLNC7WlAfYtS7k6eI9DGifOKSxC/mEbFY0c3+Jy5TgfZnybm1PH/d7xqq3tEfd8VWi/9qPc9bcscucLimRTbDjgsI8Xg8FgMBjqBBZ5mYF9vBgMBoPBUCcI40hCVvLt4/5HAuzjJQWb73xamoKZIUKpX1O3phhGnqstJRx61tEIvSu17A4l1xy6bT/O0QqlMU3FcGFIpI04rI4hX26b2jFcXcbwr4gOa49u3KbamsBFuOnoJbov5Cq76+67q8sojxQRGfjZf1eXG+dpyW3T8Se4vm3dpNryJ66oLrMz8OTzrq+F+V2qjWXcSMewBBavAwtIimgXWyHaKMQQfwM53IKr6NTzfaotP6dd9xUoCHamxb5xoUJFXRD9kaDNABNPrXd9AWdSES1VLg5oSTnTlDFcI0t+kRpFmoTBVEEAzwa3KTPelAJ7IiLlMffcNC7QVCzKqvm++eBGnCi2qQ6i20rgPstUGNNG+Pzzc8r71kJpTL8XUOLMVgwoqw6I7mkgagj7OkWyaaR/isO6P/n2JmjTBWOVa/AuGht4L/Jc5DmF82iKJN9hyR2H39EbN7ptN4OjrojI0ae6uTExQJQ5FGP0AneMibLRRiIimzZtkr/7u7+Tn//859Lf3y8LFiyQP/qjP5Jrr71Wcjl37zZv3ixXXHGF/PznP5dCoSDvfve75bOf/azaZk+wjxeDwWAwGOoEh7NJ3ZNPPilRFMk//dM/ybHHHiuPPvqovP/975eJiQn57Gc/KyIiYRjKBRdcIHPnzpW7775bBgcH5b3vfa/EcSz/+I//uNfnso8Xg8FgMBjqBGEUi78fcl5GR3U0Lp/PSz6f390ue403vvGN8sY3vrG6fvTRR8v69evlS1/6UvXjZc2aNfL4449LX1+fLFiwQEREPve5z8mll14qN9xwg7S2tu722Az7eElBW2+bNL8Qzk0L3R574anV5aSKwKl9xjZvV20YKu698DzVpgrHMd2z4Qm1judgl8+R9ZuqyyUqooZUTUOjDpXngMZoIUdhDAFv/e97VRuHeTtPO7G6vOXnmuJBtRM71UaPPeaW6fxtoCphJZI/4JRAo8/oApZzzlyp1nGMmRpCpQiqe3i/gOi+waec+iYgZUimsTZVwvc4nnYUgBdougfdgHE7EZHiruHqcr5Lqy9QwVWemFJtOG+RJhLRah++ppCdW1FBR21pzxAXzqt1zIBeWUhbpRUmFNGqFlQpMRKqKKCDuKAljj87A+NYsRIooZqCOc79jqej3W4nIjIBzw3TyUjvcgFRpJR4DvPcQLqP329p7t64LW+H7wmmtEojTgkWZPW9YFXmxICbmw/euVm15XxH8RQCXThxXpPrT6ZBX/8YKJEaofiiiEiu2e3nwzH96OAVZqxEIt6sqkrP/N/bqxWPn/zkJ+W6666bRc92j5GREZkzx72L7r33Xlm2bFn1w0VE5A1veIMUi0V54IEH5Jxzztmr49rHi8FgMBgMv2Xo6+tTUY7ZRl12h2eeeUb+8R//UT73uc9Vf9bf3y/d3d1qu46ODsnlctLfX9uGhGHlAQwGg8FgqBO8KJWezT8RkdbWVvUv7ePluuuuE8/zUv/df7+ul7Z161Z54xvfKO94xzvkfe97n2rzvGSkKo7j3f68FizyYjAYDAZDnWB/5bzsCz74wQ/Ku971rtRtlixZUl3eunWrnHPOObJy5Uq55ZZb1Hbz58+XX//61+pnQ0NDUi6XExGZNNjHSwpG+kak8oJUGp0VC106rwN5WJYE5lqcXLBnpc7PCKDi9OCv9VcryhUb5urchYbF2h0VXU+5knA75GcUKSSHnHSuvXaSVPOy09R621yQfJNUdueP/kOvP/S468uxWiqOUm10wxQRaYc8HnbVVLJmkqeidDPfQfeJ3HiDTpdLEpJUGp2C/ZZ23QaOw81QRVpE5zZwjlPjfJeDwLLxRHVmyMlgp1rsT8RusJATkZmrx7v03NPVZc4dwPyUyef1PGla7I4zsl476rLkGfMX2HEV8x44PyMhgcb9UiTQFchz4bwKzs+IxK2XqE3lB7HEHMDVoaPycHWZJdbovsxzmCtAc18RGRhjfr/gcTkfBnNXOI+meaGruM7zFJ2g+bg8xnOOcXOjTFJtzOl7/hdPqzbMVeo8QVd/R3nyhru1pcBIWV/jHHAiL1O15O68O/9Rr1mszx/W9joJy7VzjHB9fLvr50Tl4FWVPhTo6uqSrq6uPW8oIlu2bJFzzjlHVqxYIV/72tfEp/yulStXyg033CDbtm2Tnp4Z9/I1a9ZIPp+XFStW7O6Qu4V9vBgMBoPBUCc4FJGXvcXWrVvlda97nSxevFg++9nPyo4d7g/G+fNn/KnOP/98Ofnkk+WSSy6Rz3zmM7Jr1y758Ic/LO9///v3WmkkYh8vBoPBYDDUDQ5nn5c1a9bIhg0bZMOGDbJo0SLVFr8QGQuCQG6//Xa5/PLL5ayzzlImdfuCw+bjZdWqVfKxj31MrrzySrnppptEZPdJPSIin/70p+UjH/nIbtu+/OUvy7/8y7/Io48+KiIiK1askBtvvFFe9apX7XOfWha0VqXSGEqc2qlDt9NDLlwalojGKLuwZ//9G1Rb21GORmhdoov/YTi+NKylhGG/pliwcF7+qONU2+QmJx9sefnpqg0pFy6aiGF9/7mtqq39FeAM3KYLrrUsWaDW/eb26vLIo4+rNgxrd79K0y87H3YFBiskge2EEHvT0bWL7yVknEQxoeQ4HB1WbdkeJyPkgnvqOORa27bs5Ory+JY7VRtKZ5W8XUgaLyJR0Y3N5GYt+W461m3LfUO5cEJS3wbKAqIRkI6YJhdVLjCJyKQ45TKUwy7RJjFQDuw2jfefHX3TpLoc8sfj8nHKI+4ZSxRJRal2SVNqKCtnug0pzJiuKaDnxgeqKrvoGNWGUv3KxHrVNgquskzLDj3l3j1cpHFym3OVbT9eS2bnLtT0wES/27ZCMmq8N+zSjePY2qul2gOPuL/I+R4ufp0rlDj35GHd751k99DlaPml1LZrg+v3c3dpGXXncZqmRZTG3b0ojupryjW7983QVvfMTKY5L/8W4dJLL5VLL710j9stXrxYfvjDH87qXIeF2mjt2rVyyy23yPLly9XPt23bpv599atfFc/z5O1vf3vNY91xxx1y0UUXyf/8z//IvffeK4sXL5bzzz9ftmzZUnMfg8FgMBjqAftLbVTvOOSRl/Hxcbn44ovly1/+snzqU59SbS9yZC/itttuk3POOUeOPvromsf75je/qda//OUvy7//+7/Lf//3f8t73vOe/ddxg8FgMBgOMuI4lngWHyBxbB8v+wVXXHGFXHDBBXLeeeclPl4Q27dvl9tvv11uvfXWfTr+5OSklMtl5fDHKBaLUiw6V8cXbZOzhUCyL9JGQAdxKDHf6sKeU4M64x5Dl62LdPgdXSYnyGEWVSvsWlugonLjQOtEoQ4rI6VU2fKMavMaXMiVQ7dl6E+hoAu1Vba7EGxA4dLymKbUAnArRUpFRGRq86bq8sADut9ZcKP1WzXFMP68CzlzobgMKLgiuqbB3zyp1nOt7vpRfSEiEkOhNZ+pEd+to2utiEhl1PWnZ+Uy1bb9PkebsdtuMFePI9IKTcfq60D6jVVLSDf6RA0hNYWFCEW042vbMaRSAkqn9Tit2hj8jb5vsSqqp6kC7BsrU9BFOQrp+YL5z2obr1Rb5cGOu/hM8bilqX0UbUlzIRwZlVpAhY9PzsQRFdREh+XShoeprXZBzflAt2YXLlFtHb/7pprHnNrmFEY8TkgTiYgUYKyKNKdGN7lCqOwajKqlyZ2abip0OtqUaToP7jfTRNmCHscdjzvqd3pIX0e+1b0Luk7QNB3emyCn+420UZDTY4/ze86xjnoaL1dEbtPPguHA4pB+vKxevVoefPBBWbt27R63vfXWW6WlpUXe9ra37dM5/vqv/1oWLlwo5513Xs1tVq1aJddff/0+HddgMBgMhoONKIpnlXR7IBN2DyYOWc5LX1+fXHnllfKNb3xDGhr2nPT31a9+VS6++OK92vZFfPrTn5Z//dd/le9973up+11zzTUyMjJS/dfX11dzW4PBYDAYDhXiOJ71vyMBhyzy8sADD8jAwIAypQnDUO666y65+eabpVgsSvBCQbpf/OIXsn79evn2t7+918f/7Gc/KzfeeKP87Gc/SyQCM/ZHNU2DwWAwGA404miWOS9HSOTlkH28nHvuufLII4+on/3xH/+xnHjiifLRj360+uEiIvKVr3xFVqxYIaeddhofZrf4zGc+I5/61Kfkv/7rv+T000/f8w41ML5tQuLMzBB1HO34zZBcHjEHJtuk8xPCktt29HnNj8fhBthO5zw0dLhIUftSnY/h57ap9a6XneDOQZWUK9MulwfzQUQ0X12Y167bNjpOPMFlA0feThLfbIvOz8E8i9EndM7JM//5YHW5aV6Tassf647TQVJOdIPFaxDRuTssueUckMa57dVldhltWeLmXzSq85ECcq5FDD/jcmB43FCSilW7Z7Ylbh0k0FxVGnOHdtyrKVe8x5zLkIdx4zwDnCfjW7QTMY5/CapWi4h0HKfvzXbIXeKcF+xPmsNpQsZM+TEIzGNht18+jtqPxqYAFda5OjSiRH1BJ2xGUwe8M8Z1jktIOUeBum86PwQl7pw7g0BbAhHtzJxZqOXXbce6P+hKzz6m2irDOucF85H4ORl5zj0bKH8WEWld5O7/3FO1FQRWtJ/Ypp+vnY+6yDfnsTR163dhx9HOToNzAycH3Pt2cqceb6wOPb6N83Fcjt2Ox/U1IbAa9UR4ZDvsHo44ZB8vLS0tsmyZTmhsamqSzs5O9fPR0VH5zne+o6pSIt7znvfIwoULZdWqVSIyQxV94hOfkG9961uyZMmSapXK5uZmaW5u3u0xDAaDwWCoB1jOywwOC5+XNKxevVriOJaLLrpot+2bN2+WbdvcX99f/OIXpVQqyR/8wR9IT09P9d++uvcZDAaDwXC4IY5m/+9IwCGXSiPuuOOOxM8+8IEPyAc+8IG93mfTpk37rT9e4IkXzIQl0aGx4+h2td3YNhcSRnmeiEhzj4v2DG8cVm2VaRfWRXppps2FIYeeGVBtnq+dh7GoIcr8RESaul3oNi1Uz5iCcK23STuHojyTZZzRtA6PY1Eupm16X+vorpbFupooSldZHrv9/qdgPx1GVoXqiDZoP1EXtMQwewsldKOrMUqqRbTjKYf/0ZmY6Y7Ol7vCnEGn9jBCt18REb/JUQWlLc+ptgBcXRNU4Eb3Id+1XFMFSFUx/YNjnJBY50EaPqipz0TBQZC1s1MvjyMiBKqGrwnptwJRA0gNstyeaQRFKRL9Uhp1klwuYojXWCG6bWpgaLfHF9GyeQbeQxERv9E9pzmiYvE4PN7YH/85TcsiZetlyIkanlt2d8526WcR52IXjQ3OsWPfqtu2/lKnBSCQKpoa1M/3+Da3PoeccMe36fk3AcURO47WEQWUQLcf1a7aiqPu/dbco+lNpPCZzsZno6nb3cOGUlnkQTEcRBxWHy8Gg8FgMBhqY7aKIVMbGQwGg8FgOKiwnJcZ2MfLXqLrROfQi1nmIiJhCYqzkcNucRTVPnq/8pSjRjhUj+HQDLlKxqGefJjVjyFXEZGGNheCnx4pqjakpnY9rTP+Ue0UkGoHFQfsDNw0XztZFppd31h9M97nqJKpHcOqDQtVchi/85Ql1eWO01+u2rwM0kZawRUXtXJh/ClHPzUt0c6xk/0bq8usYhkFRVFxSNNkSJvMp2KTqCAqbdQhfqbG0EU5OW6Otuq/X7smN81zVAkrQxoXuyqvhaWaUsK7hkUxRUR2PugKPKa574qINM51YX5UXoloZQ7SLSIiQcHdN77fSI1M7tD7IcXExU1ZbYW0aXFIjzeC7/ckOM4WQKEmoudtC9FU6DCbJUdloXta2QWFCps1jZFpB3dwmtO5FtcfVhth0VRWs0Xjrt/hiH6GpzfpArJjm9dVl5kKRWpu66/1vFEU+qi+Fwh8D4mINHU7qobpdH6HHnWuo54HH9fzDd1x41DT6agQxXediC6YO7xRF8GtwDsbKfpSikOz4cDAPl4MBoPBYKgTmM/LDOzjxWAwGAyGesEsP17kCPl4Oeyl0gaDwWAwGAwIi7ykoOOYTmnOzUgMF/7uK6s/59wJrMLK+QKYL8L5MMjfsoy50OW4ZHaKZXdUlBUvOlPLgXc+4aSzuSYtl2w7yuUn8PmxmmtpQp9vEqTCmGMhIjK8Qcuqu093+3IOBubgdC7sUm0bf+Kq4C54tb4mdBSe2qjHu2GRy12JK7rfDMxfGHxIu4xilensAn3+POSnjHBex5zWmm1NcEyWvGI+iohINOEkoSiFFxEZ63Pj2P3yJXo/rM5MPPzwYy7Hh2XEeP9bl+rcEZXjRO67maaCWs+1uJwfdFEVEQnBxZelyrkWl+dQHNZ5RHNPd6aVw09QZXTIHWFnYD4H5sck8logBycq6/wIdL+tTOpnH6+X85YycA6W7QctemwE2qMpXUnZL7ixYVlzNDbslif0uOHVV6j6Ocqfs0t1tXc+x9SAOwe634qIoL9w+1Kd74Yyas5pi0OXu8Pzu3G+y/EZeUY7aDMmYN/mHu123Aiu4QO/0XYDaFMhwnPBSdOnh7T7bttR7hzr/8vlxU1SLtKBRBTH4s1CMRSZ2shgMBgMBsPBRBzPMufFPl4MBoPBYDAcTFjC7gzs4yUFXS87TloLMyFjdCRlp9DmXueWGpV0qB6pg55XHafasBgeh/iRKuJwdENnq1pHSShvi6FclqDito0kAR15bhj6pkOijV0gDd+pQ9woTxQRGX7KhZmLJJecGAB3zGP19eeaHcXFNBm62k6T46sXuMKUDUuOVW0j69apdaQOskR/5LvcuE0+/YRqw/3mvkzfU5TyhnRPUWbK91uTSCK7nnRhbqRURPT955B7M9BvzQs1/TMEx2T5NVIlBaJ75r3cXeOm/3pAtXUtO0qtT8P8Z5oQ5zTPYRxTllHvfOjx6jK776JUn6m4ll7tFIv3lGX0rac5yX1lkKgKoHTKY/r5wnvKY6rcnomWjct6TueOPkVqgd2X1XHwOoiaqmzb5PrWoOcQSqfjce0EHBLFhDQlWi+IaGdspExFRHxwEW458zzqm6NcWrYwpePGhukmfr8iHcfvif77n60uDz6t51QLOJ9z8UekXqeo7Te/cfeiAZzOp+KDRxsZZmAfLwaDwWAw1AmiSMSblUndfuzMIYR9vBgMBoPBUCew8gAzsI+XFGz9xcMymp2hL+ac5FQsHJ7e+bBzS+WQe+/5Z1SXOeSc63Qh/nB0WLWNgfssu9ayGgJpBW7DEGwidA1KCVZDNHY5GiXfrkPOWEgtS+6/TBuhqoWpEnTg3PVUf802LoaHNFlTzxzVtv1+V5zPI+VXO7nDIpjGGPyNu6dtpL5B9cmGb/5CtXWe4JxxWdGC/eYQO98bLPDICq65y536ac5rNG2DdBOH0dEdd8dDT6u2eac7BRdTcYgFK7VrMJ5PRLsKI90goucYzwWkV7Mtumgh9sfr1NRMAe4bzxM+BxY4DIh+QjVO0KGLfaKKJ5zepdpCoDGYlsV+8/PV2qsdjlFdhnSPiFb/FHdqN1xFYVPxRanAu4AcdkNwe2aH3dEN+p6iOzA/J/h8szNw7tjlbqVtnmrLwjUFnfr5isYcxcNzceej1Dd4/2xZq+kudOfFIo0i2sW3oUPPN3y/R/RcPvP/rasuH3eye39PVCoiv9bOxIYDC/t4MRgMBoOhThBHM/9ms/+RAPt4MRgMBoOhThBF8SxzXow2OuLRc+ayqtooAMMrv0HTAfNelaIUSFHGoOFX+/G6MCCbiCF2PaFDp53LHI2QMLCDsGeuU9M/PpiBcfFFVE6UyZgLs/OzZHzHFBMa+PE5/MBl6xepaCQa+LGKo/8+p/7hwm0Lz3b3gqkYHlO8j6PPPK/amnocVceqGaR/mDbDsDoeQ0Qk3+UoLjY6HNusFSXY1woVGESFDdMRaCiWuKeBow6ayBTw+TsfqS63HztftXUc11tdfurff6na5hyvt8V7w/QqFmYsT2jzL7xenDMi2kyQxwLVLoWEKZ0+P1JxBaKNsOBhZUDTD3i/mYrC62jo0LQJ0lhYsFNEZPQ3D6l1pBEzc4i2mnaqvIYFmvpEtREa1omIeFlQO5X0uBVBPcnvk47je9W6B/MYlZUiIgEUfww6dRsi2qwVe8o0j57viWc3VZe3/VrTmwOPaXUdPn+qEKSI5HvcOtLgIkkVkT6mu2999+q5kHWvLHl+vZunB9OkzjAD+3gxGAwGg6FOYD4vM7CPF4PBYDAY6gT28TIDK8xoMBgMBoOhrmCRlxSUxyelVJnhMn2QQRYolwC5bS7MOOckJ2UtjWk3WnQLHXzsWdWWb3f8uU8STCx4JqKLxVWmdM4L5kRw7gbKTNk1mNcRWLTwiX+7X7V1HKtdTScHXJ7P2FYtFUeH3cZOnROA+Sosz8S8g5bF7TX7WZiv8zqEeOmpfsefo9uxiMjI/Y7r5oKalSl3/nyrzqvAvvF4Y84FFo0TSV4jIlHwD3I5WI6NOSBc0BPBeUSY58L5N+r4i9rV+tgWnZ+C9y1D+UCNIPnnvmGey/QQFzBl/2GHIXBw7lmpc89GN/Xz5lVwEcd2yPPItnC+mXu+ypRzg/khCSuAY3TBQwS72AZzXS6L39Ku2vx2kBmXaudqlJ/TeSXh0I4aW+r8q6MuOUu1sfuvl3f5IpjjIqIl3pxXU97sCoGOPL5etW37tWsbfV7nArZD8cPJnTo3quPodrVe6HDzv3Wxft6nd7njTlNOHe7H5xh61q1v2q7f2U2Qp9c1z72zJsJQRD8KBwxWmHEG9vFiMBgMBkOdwGijGdjHi8FgMBgMdQKrKj0D+3hJwdjzO0RyM1LgzlOcHBklpyLaHZQlkdvufay6zOFvdDwVoi2QcigQpfDM7Vpm2XG0CwEjbSCi5bJI94iITILkNlHQEcLhHCof3egK1805VjvcblurZZdj29xxu07UIWcs8MgulzlwWWV5LBZ4bOjUUmGkUaZ36Dju9KAuQJeBYowsMcdQ9uROTWPMf5mjWNrItbftBDdPoikdcsYicyEVmGPKAfuK1KOIyMP/fGd1efFrjlZtSMeUxnS/kW5k2ggRhzGtuzGet+IE1bbxR5o2xJdqU4+mX7bf72SvXcu0NUCBCoMilDSdaDKk39iKIA41TYhSbT7OJNBWeZoLuG2O3H/xuWk++VTVlumGa8wS9UUUZjzpbAuiinbJRgm0R065KKNGJ14RkfyJK6Az2tIgnnZzIy5q2iSYr+ebAI00/divax6Hn7dn/tMV8USKWESkDaiheafo91LrEvd8Fbr0Mfl5K4Ldw+Q2vS3KnDcT/TNacXO6l+jNcWjD4osiIieudOdHO4dCuSKimTHDAYZ9vBgMBoPBUCeIo3hWRnNGGxkMBoPBYDiosMKMM7CPlxSM9Q1JvBvFBju3Ih3ExeGa5jtaZd4Zy1UbFlnjom6o+GCn1AWv1lRB41xXDBLdV0W0aoldTZE6YKdWbCuN6pBrZdqFtbuWaTfOAoTmRUSe/ZGjuBL0yysWuWuggpaovmEFFzrzoqOsiC5Sme/QtMUkbRuVndqoPKFpO3QmPv5/vVy1IR3Rdsrxug0UF6zaacUCjxT+Lw1rygPvGxdRfOVfvbW6vOHf71Rt+VZHHbCj8NSAK3gXEk2FxT+bF2p6b2zzjt1uJ5J0GPbg3jAVl2t2z8nwM1v1cYCa4f26odgjtzUtdmF8r4EUcwP6HEg/MU3VOF/fD4TX6O5FaXSzakO6L67ovgnQOFFBPxeZo3SByygP6sKSft68ipubMc2bACifaHxYtaHah5VAcYoj7PT636j1YaDFdz6qnajHtgLdVdbvkDKo8paeqxWSSGlmGjXdhXOD333P/OeDaj0CivO5J/W77+hTnUrr7LP0e6o04e7VBFFKuWZHsSG1LSIy0uee09bF7t0elTTVZzjwsI8Xg8FgMBjqBKY2moF9vBgMBoPBUCeIoljECjOaw67BYDAYDIb6gkVeUtD7mpOl5QUX3MkdQzW3wxyYgHJHRje7vIqmHu2qiWBuFyWZQ8/o3Inuly/R59jkpMvsXDoMDqTs4joJ0t0FZ2mZZxqQy+YcBJbnHnOhk2vec+OPVVtx1HH5x16g3VHR8ZZlvU/8dGN1+fRLXlFzv3hQ34vhjZoTR0kwO+XOf4WTuTZTBWZ1vl26yu0EyDVZNo95LpNb9T0NSEaP+Rksz0WZ7YIzde7E1nucy6rKsRGREHh5lhV3nuLyqFgaP7LR9XXjf62TNGDF8SCn79v8V7i8g/Ftw6qta7nLXeHKxSNPuzyTlt55qi0cdzkXWXKmDRr1uKE8necpPjec0zb68IbqMlomiIj4BZdn42XoHj7t8r38Zt036dDX4YPkGeXPIiLhoHMK5srRGXDmRZdeEZEYcl6mtmm3Z6wkze+FbJOuwBzBuB39e69UbTiP2k/T75BwxD1vLKPG8UYLARGdq4b5fCIiW9bqd2hx1L1/jluh53vrInddU0M63y8q1875wfzD0njtvC1894UHMecljsLUnKW92f9IgEVeDAaDwWCoE7z48TKbfwcSb3nLW2Tx4sXS0NAgPT09cskll8jWrTp5fvPmzXLhhRdKU1OTdHV1yV/+5V9KqVSqccTdwz5eDAaDwWAw7Becc8458m//9m+yfv16+e53vyvPPPOM/MEf/EG1PQxDueCCC2RiYkLuvvtuWb16tXz3u9+V//2///c+nceLjxTR937E6OiotLW1ySNXXyQt+ZkwIbpzMlWy4zeOxmicV7vAHhfj87NOkpcp6JAzUiVT5AzLYVZ0zi0Ojak2pA7YYRaviSXeuC3LY5/63n3V5QVn6DA6h9XxuEhviYis//4j1eWFr9Ih35HnwGH2WH1+BDtusnMq4snvaHfQpnku5N+ySIen8ZqZfkHJ8a4ntaMw3ou247SLLBa885v0PAk6NVVS2vhkdXl8i6amdjzs5tvSN+kwPvaHXZPx3jTM1c7ISEWha6mIplGe+5mW0XJYPcg5aqylp0W1tSx2VAnfNyyiyG1ItzH9UOh1cvtivy7EyMVF8b4NPrZRtS1+6+uryyw5DicdxcRj2jDH3cf8MZr6LG9xEn88hkiSCkWrAizgKaJpHZbfIzXJ9xQdd7NLTlRtPsrK85omijP6GfIikNWH9Nex7+ifaFj3DQtKcpuiwiY0hbnhX//LHSPQDreN80hyjo7aRIVigc9ck36/ot1DpkG7D2MhVi4Yi+7e+K4fL5XlFf/8HzIyMiKtrbV/B8wGL/5eWnjRP4mfK+x5hxqISlOy5V//9ID2FfGDH/xAfv/3f1+KxaJks1n58Y9/LL/3e78nfX19smDBAhERWb16tVx66aUyMDCw132ynBeDwWAwGOoEcRgmSl/s6/4iMx9DiHw+L/l8flZ9Y+zatUu++c1vyplnninZF/5Yv/fee2XZsmXVDxcRkTe84Q1SLBblgQcekHPOOWevjm20kcFgMBgMdYI4nmXOSzzz8dLb2yttbW3Vf6tWrdpvffzoRz8qTU1N0tnZKZs3b5bbbrut2tbf3y/d3boGX0dHh+RyOemn6GkaLPKSgtLIhBRzM2FSzEBH91MRHT7c/hudmNR9mvu63P7QJtWGDo1cfBDVJ+y+y86pqogjUVMDD7hqYR0n6oJrQYozMIbHmbaYu8zRKE095MbaR+FhyMLftnaTakN3VqSJRLSiiWkEP+f242KXODaPfv1/VFtlSrvKVqbdOtNNeI60v3Lm0JhuvdepfVhBhPeJC2g2jg6rdXTALU9S4TxQ8exYp913MYy++a5Nqg1dZZliQEoF+yki0gj3uGVhu2rb+bjeNiy5sZoY0BTLvNNdUUemP1DRxbQVgpVAQYuj+/Kk9CsN6nmLtCU/J7vud8qgoae0oqXtGDffGzr0s4803bw5usDgeJ97EfMzO0nPFNK9GZqLqIxiZ2B8NxR3Das2VKmVNz2p2pCmzPSSS3SgaRTx3Dm8oqa0ys856jcc2iEvBay8O/Gq97sVSi5l919UxrXTe2IKaCSmzPEdHlJR3NalAWyn79v9X/jv6vLOIXfvJ+tQwdPX16comrSoy3XXXSfXX3996vHWrl0rp59+uoiIfOQjH5HLLrtMnnvuObn++uvlPe95j/zwhz8Uz5uhAV/8HxHH8W5/Xgv28WIwGAwGQ51gf0mlW1tb9zq/5IMf/KC8613vSt1myZIl1eWuri7p6uqS448/Xk466STp7e2VX/3qV7Jy5UqZP3++/PrXOv9waGhIyuVyIiKTBvt4MRgMBoOhTnAofF5e/Bh5Sed7QRNULM5EuFauXCk33HCDbNu2TXp6ZqKaa9askXw+LytWrKh5HIZ9vBgMBoPBYJg17rvvPrnvvvvk7LPPlo6ODnn22Wflb/7mb+SYY46RlStXiojI+eefLyeffLJccskl8pnPfEZ27dolH/7wh+X973//Pqmf7OMlBWNbRqpVpVEezZK8ll4X6ioOa3fMAHIn2pfqL9fHvv1wdfmkP1im2jAHgx1PhzfopKZCl+NlWYLZDI6kk1RxGivi7nxUS34RmMcgIjIGHDW7yHYcr6u3br/f5dw0d2vp6uB6J3udHtG888ved1Z1ue0ELb+efN7lLkwOaOdjHLeOo3Vex7M/e1Zqge8pylUrXI07cJz4pp8+qtryrY435twRzHPhY+7cpu9NANJ55vIx72PTf69XbUvPd467J19EMuonwKmWcm4wdyIg2f7zdz5WXcYqviK6Oq+IvsdL36z/ioqUw61+TnCdrQjaYU41n6QdhcMxd/+HHn5CtSUk1wCuRo7j0dCp81ow/4urpqOkniXW6JqNuWcz++m5iVLpiCp++0FtXQWeg/O/lBzfr32MeFTPPb9Znz8advk5U4/ep9owH46ruOe73DVuv0fnquA9ZVfwcp9zBs4drd+LTa99i1qvbHbj6p/4atUmP761ulggF2F0wm5aqHOV0GF4+32P6/3AFXwOPOsNUShS24R9v+JwdtgtFAryve99Tz75yU/KxMSE9PT0yBvf+EZZvXp1NacmCAK5/fbb5fLLL5ezzjpLCoWCvPvd75bPfvaz+3Qu+3gxGAwGg6FOEEfRLD9eoj1v9BJx6qmnys9//vM9brd48WL54Q9/OKtzmVTaYDAYDAZDXcEiLykY7x+XOJgZIgyXdxyrqRKUS+bbmRpx1AEWIhQRmSi7L+Cx53XMER1fWUaNEl8RHY7nkDvKdZl+QoqJqSHsa2OXvt6uk53MkkPzAw9p6e7gekcxlSd08bJsk5NkFjq0PDQqu21HN2hKCykOpqkwPN9ObfGaZ9S6B+6dXPyweZELJQ8+qt1YUWaLNJGISGnc9ZtllqMbHd3F0myWw+da3DzCELeISOsSJ9195Ud1WH3Lz11Yf+NaTaNgEbt8u75PKHnvJ0n74NPu/C0L9DW94orz1TrKejf910OqbckbXl5dZvk9jn9lUs9THH+e35Upt85y/77/fkCtR2HtvzjRJXvOSYtUG7r/sowbXbI9kuMOP+Mk1zy/2EUX5dH4PIuITALFlaGiiThvcq2alg7a3D3lv9SRUio/r5+L8oC2e1DvCaK0kDZOXBO8e3rO+x3VFpeg8OjR2pk4HHLvjGhksGabiHbnzUzqd2jTq51rclzR755GHI8O7aDtlxyF2UJUe+8K9+777zsdDTsdH7hoBiOKwoSEfJ/3PwJgHy8Gg8FgMNQJDuecl4MJo40MBoPBYDDUFSzyspdAGoWLs+180oUW552ivwexsFimQQ/3UcscNTG+TR8TaSMsBiYiMkxutD1nHFddLpOKZRwcb7c/rEOuEwMuzNu6SCssFr7aOccy/RKmFFtkqgQpp4Ft+vxHvcadY9E5r1BtHhSOYxUJhqcDUirMfZkbi/779H7dp2pVwfZHnCMoq6ZQKdTYo5Uhz4HCB6kvEZE5x7lQ/QA5KjfNc2PDzsTs4ouKogo5gCLlNLaxT7UtOHt5dbn9WE3pYRHBO675rmrrPM7Nt+HntPIqBsqU6b0yUTwTEGafu1wXptz1hKP/wpIOs+M1sdoGxwqvQUQ/i+yiyjQROiwzTYeKPT4/9q2B1EZIB2388VrdBsUAme5iGgmpQH6mGhrcNbOiKNfpqCIucDi1xdE/TBm3LHHO31gwVEQk13u01EJDx7yabaxoGr/vLtdEdE9uiVONlTbp51QgodTL6OcrmKvndAbW4yn9DhWgirxW/bxFuxwVWPnNnaotCzQWzzdU0537Wje/x8sVkRQ14/6ERV5mYB8vBoPBYDDUC8JQYn8WHyCzKOp4OME+XgwGg8FgqBPE8ewSdl8szFjvsI+XFBTHypLxZ0KYHUe3V38+sV1n1c87RdMRiCyEjlsWtau27etceHjHs8OqDWmc0ee1wiEmozA0apsc0KHj/nWO/sBrEBFZcq4ryNZ5ijaCQ2z71WNqPdvowuhMtzz5Xa0w2djn+r78VQtUG1IjbKA3PbSpujz3zFeptrEnXJh5w39qRUnv7+gic4iEogcoH1ZKzFtRu4ggGrMxFTj35Y62mreCCmp2udB1cae+Xi6wiLQC9xtVJAWiODI9S6rLLRTif+57P6kus2EgUkVMDbUvba8uYzFNEZHikA7VN8519BP7SfTf7xQ9rYs0/bLjUafM4QKac05y9OL0Lj2/kQ4pzOtQbagYExF55nY3N1lBN7XTXUdpVFOvqCAc36KLD7K5IaJlsRv/XKse7zT6i6lQBJ+/camjeHz6hdZ6glN3IQ0roumYuEmPW5wjRVNJj4dqC4FyIsVN8+lnV5fDHbrYJVJFmS6t9skudbRN1KbNFH1SFHlwzeXNT6k2VCb5bZo2wsKUuZO1mSOa8rGCDd8L4b3OwC4sazWT4cDDPl4MBoPBYKgTxFE0u8jLATSpO5iwjxeDwWAwGOoE8Sx9Xo6UhF2TShsMBoPBYKgrWOQlBQ3tOWl4wWE3BDfcuct07ga6Y7IbbgY4UyzSKCIyBvLoJnJq3fzL56vLJ7z1RNU2PVTbyXJyp26bGnb9Oel0ndcS5Bzv/fwdOlel+1VOyjjnxKNU29ov/Hd1md1+Gb/zjpOryw1UHA0LsgUkAW2GYml9//kz1YYurvNO1feiY5nLedm5Wu83tlXnDjX3OHlsWi6FT/ftpD88vbq87dc6V+Wxf7m7uszuu6f8CTh+Uuh2/qt0wUFEdp6+xspOJ/PkQpzxtBsbv1VLvI/6wwvdduFtqu3pH2+AY3qqDeX+3afrnKKhp7RUG3On+J6e/N7zqst9a36t2tqOcnkXXcuPUW0oW+eipF3LnFw1Tik+KCLS88ol1eXNd+j7hg7TnBuGxVbZGRn72tBd2+E2HNK5Klvv0s8bPhtciBFdfLuO1/Jzv8X1NVis7008x8mIvSLlzeW0pUEa4rzLl4k9GuPA3WOvot99vu+eG7+dxqbb2S+UNz2p2srPuXwYL6Pdf5nwwCgCy6rzy1a67Rr09XrT7t07de9PVBvmuXCuUt/P7q8utyyGnKqizo05kJihjV469WO0kcFgMBgMhoMKo41mYLSRwWAwGAyGuoJFXlLQsqBVml+gNiYGXOg43zqstguG3TBy4TKkdLjg3Ml/eFp1eaJfF9/bsMbJSlHGKSLSOE/TL4hnQBotItJeAGroFzpUHuSC6vKyP7tQtQ0+5OTRHMYeGXMh0o52HUY//i0nq3WUqzLFgbRCP8mxe846tbq88LyVqq044CSQ+XlaDvybf/iP6jKHR1ke2/eAoyCw2KSIyDDQIeyojMUoT3inLji39ZePVJcHHtEUx/CT7p6yBJOpuckdw9VldKYVEZn7cqAH/EC1RVNunpa3a3kqUmNM6Sg32LL+yyzf6u7xxDYt8fZJ1os00vSgpirQGZrvRftSRysMExU18IhziuXiprnm2hQay/ixr/NfoZ1ahzY4eSw+FyIiOx53bVx4tbDQUXpeTj8Lg/e6Ipns9ssOyziuU4N6vvWc4eS5PjnF+gXXH69JvxcUVeTTqx4kznGDdtdOUEO4Lx9H7aivMWzprtkWwDnyJ2srBIwqcEFFvsaoAST3TKGW3VzxJodVW7nPyaq9rH4WsoG7/yxNxxSBsc2ubfwgSqUt8jID+3gxGAwGg6FOEEWh8rfZVxwpHy9GGxkMBoPBYKgrWOQlBWNbRyV6QW3UfaoLgVamdYhweOtwdbllgc5qR3pgcqd2qhx61rlFLn3DctU2/iOXZf/rn21SbT3kcrrsopdVl+dSOD7Iue/TnldqamLeSufAiTSRiEhDhwslV6Y0xbHoBKdiGdygHS+fvl0XWZv/MkeHMd2Fyg2kiUS0y+jIExtUW/NCRzHE0xOqrQmcY5EKERHZ/EtNR7R1u7F66ge63wtf6Vw/25Zqamr9d52r7xYqknnS2U5FcdTvapUYuvi2LNbOoUFru1qPtjiqgimGHQ+5kDcXzRx4wPWtab5WG6ESi+meZ9e4MR4hB+nS/2yqLjd2afdVVlSNgFMvUyWlSffc8LxBIIUkIjLnOLfe0qvHrTjsqBF2u33uDq1U4SKaCFRUTQ1ptRW6XbPbMc4/LiCKijVWKbHyDl2yC536HYLFToMO7RrsNQLlQwUWJePucRzoZ0E545Y1FcdUZJx11+yV9dxQdFCoKfNg2lHYMdFNUWNHzTbx8Hyaao8Dva1XdOMfZ/K0rbvfUQcVdGxsry7nSIkVZd0cb5jUz/f0v3y1urzjEeeQPlFJV13uT8RhJOLNIvISmtrIYDAYDAbDQYTVNpqBfbwYDAaDwVAniKNwdpEXy3kxGAwGg8FgOPiwyEsK4jCWWGYqOGOeS0OnlhaiOydWAxbRcs041LK7gUfceuembartle9wlVXXfkfno8x/meb9H/+3h6vLXqD5+jh0/DVW5xURCUeHq8uY4yIi8tg37q0ud51Isk7IiWjq1DkQc0/uom0dJ92yUOdgzH2Vk4qPPvWsatt+v5N1Tw1p3hulrEter3OFFqx0TrXoxCsi0rFNc9vTcFzOR+pf5+TY6HYsIhJFrqr3aW84WrWhA21Y0jw45q6EJJWe7tey6kzB5SiMbNRzA92Ht4E0W0SkCfKBvEDnLvT91z3VZc7BQFfZ6d9ouT1Wko7Kmi/f+oie0wiaijIF1dAL1Lj9YTfe2x7QY6GhKwdjHgtXvJ4e0bkc+JxyNXB8buYu01WO8RnmnJft97nKwlyZHLdtXaqPOXD/+prbcj5MphXlwPqeehmdy6KAuSQkVY5yTVILrGTxoJIzy6oxP8Uv62dISa45rwVtDEiqjLkqQrk6KPEWEfHwHFu0U683T7/v1OnhOhJ5PKMu30ya21VT97mvdV2BZ3isWBa5Ww4KLPIyA/t4MRgMBoOhTmAfLzOwj5fdII5n/kKcDN1NbgATonJJq40mwZguorYs1LxgI6NJmETjtB/+JTZJk22cjPCw3fOoLg38gTM6pf8SRVOv4rRumwDlQAP1ewLOF8Bf0yIiBerbFGThjxX1cQpg2jdGkQi8xmnK5Pc9d86x6drXVEo5pohIEY7LY1yG9TK1YeSF72kj9Af/0hcRyWbdX80R1ULxYz2O2D5GcyOG6+J5g/tlRM8F3DaT0X/Bj6eMhYR4v3VTYltAIvIC4xbTPK1E7r5F+1B7JRO6/bKhPmaR+paB9gx124Ox4jHFZ5gjL5Vi7fcCbpunZy/teS/T3MjDc5KZ0FGCIKvVdrrj7p6y2ijO1DZVS3iIoKFdihebP6XN9VTkhc8PEaS4FFObi7wk+hLRcwM1iuJxinwVoC2rjxNn3YUEY9TvSTemXqx/RZYnXHQJ32cv3s+YnuMDgrAsszpLePAM9Q4kvPigjHZ94fnnn5fe3t49b2gwGAwGwwvo6+uTRYsWHZBjT09Py9KlS6W/P41W3TvMnz9fNm7cKA0NDXve+DCFfbzsBlEUyfr16+Xkk0+Wvr4+aW2tbcdv2D1GR0elt7fXxu8lwsbvpcPGbnaw8dt3xHEsY2P///buPyTKO44D+PtOzLvmef2ws3lEtKwsSko3S1cLpa1GglH0R5kV1FW0wRhbwZrMFuUoxmZFRJBzzIis9UdUYiUaFV726zzyTCPLmD9q0g+LatP0sz+Gh+appz53jw/3fsHzh9/n8ft8vm84+Nzz3N3zEpGRkdD38XTzwfjnn3/Q0jL4J1gPGzZM040LwNtGHun1elit//+oUVhYGF/Ag8D8Bof5DRyzGxzm1z9ms7nvgwbJYDBovulQCr8qTURERJrC5oWIiIg0hc1LD0JCQpCZmYmQkJC+D6ZumN/gML+BY3aDw/xIC/iBXSIiItIUXnkhIiIiTWHzQkRERJrC5oWIiIg0hc0LERERaUrANC+7du1CYmIihg8fjhEjRnTb73Q6sWLFCowbNw5GoxFTp07F3r17e5zv3r17MJlMHud617Nnz5Ceng6z2Qyz2Yz09HQ8f/584ItRgRL5VVdXIykpCRERETAYDPjggw+QkZGB1tben7Vx9+5dpKamIjw8HGFhYfj4449RUlKi5PJ8Ss3sAODs2bOYPXs2jEYjwsPDsXTpUqWW5hdq5wcA//77L2bOnAmdTofy8nIFVuU/auVXW1uLdevWYcKECTAajZg4cSIyMzMV+YVYooD5hd2WlhYsX74cCQkJyMnJ6bb/5s2bGDNmDI4cOYJx48ahtLQUGzZsQFBQEL788ssux7a2tmLFihWYN28eSktL+zz3ypUrUVdXh8LCQgDAhg0bkJ6ejtOnTyuzOD9QIr/g4GCsXr0asbGxGDFiBJxOJ2w2G9rb25GVldXjuRcvXozJkyejuLgYRqMR2dnZSElJQU1NDcaOHeuzNStFzexOnjwJm82GrKwsJCcnQ0Rw+/Ztn63VF9TMr8PWrVsRGRkJp9Op+Pp8Ta38qqqq0N7ejkOHDiEqKgoVFRWw2Wx49eoVfv75Z5+umQKABJjc3Fwxm81eHbt582ZJSkrqNr5161ZZtWqVV3NVVlYKALl69ap7zG63CwCpqqrqT+lDghL5dfb111/L3Llze9zf1NQkAOTSpUvusRcvXggAKSoq8qqOocLf2bW2torVapXDhw/3p8why9/5dSgoKJDo6GhxuVwCQBwOh1c1DDVq5dfZnj17ZMKECf36HyJPAua20UA0Nzdj1KhRXcaKi4tx4sQJHDhwwKs57HY7zGYzZs+e7R6bM2cOzGazV1dttMxTfp3du3cPhYWFmD9/fo/HjB49GlOnTsUff/yBV69e4e3btzh06BAiIiIQFxfni7KHBCWyu3XrFurr66HX6zFr1iy8//77+Pzzz+FyuXxR8pCiRH4A8PjxY9hsNuTl5WH48OFKlzlkKZVff+cl8hablx7Y7XYcP34cGzdudI89efIEa9euxe+//+71A8sePXoEi8XSbdxisSjyaPOhylN+HRITE2EwGDBp0iTMmzcPO3bs6HEenU6HCxcuwOFwwGQywWAw4Ndff0VhYaFXnzfSIqWyu3//PgBg+/btyMjIwJkzZzBy5EjMnz8fT58+9Vn9alMqPxHB2rVrsWnTJnz44Ye+LHlIUSq/d9XU1GD//v3YtGmTkuVSgNJ087J9+3bodLpetxs3bvR7XpfLhdTUVPzwww/49NNP3eM2mw0rV67EJ5980q/5dDpdtzER8TjuT/7Or0N+fj5u3bqFo0eP4uzZs73e/xYRbN68GRaLBZcvX8a1a9eQmpqKlJQUNDY29rs2pWghu/b2dgDA999/j2XLliEuLg65ubnQ6XQ4ceJEv2tTkhby279/P168eIHvvvuu33X4mhby66yhoQGLFi3C8uXLsX79+n7XRdSNyretBqWpqUnu3LnT6/bmzZsu/9PXfV+XyyUWi0W2bdvWbZ/ZbJagoCD3ptfrBYAEBQVJTk6Ox/lycnI8ns9sNstvv/3Wr/Uqzd/5eZKXlydGo1Hevn3rcX9RUZHo9Xppbm7uMh4VFSU//fSTV+fwBS1kV1xcLADk8uXLXcbj4+O9PoevaCG/1NRU0ev1XV7zHa/31atXe71WX9BCfh3q6+tl8uTJkp6eLm1tbV7NTdQXTX/bKDw8HOHh4YrN53K5kJycjDVr1mDXrl3d9tvtdrS1tbn/PnXqFHbv3o3S0lJYrVaPcyYkJKC5uRnXrl1DfHw8AKCsrAzNzc1ITExUrPaB8Hd+nogIWltbIT08Yuv169cAAL2+60VCvV7vvrKgBi1kFxcXh5CQEFRXV2Pu3LkA/v+mXG1tLcaPH69Y7QOhhfz27duHnTt3uv9uaGjAwoULkZ+f3+UzbGrQQn4AUF9fj6SkJPdVv3dfx0QDpl7f5F8PHz4Uh8MhP/74o4SGhorD4RCHwyEvX74UEZGKigoZM2aMpKWlSWNjo3v7+++/e5zT0zuZsrIymTJlitTV1bnHFi1aJDExMWK328Vut8uMGTMkJSXFJ+v0FSXyO3LkiOTn50tlZaXU1NTI8ePHxWq1SlpamvuYd/NramqS0aNHy9KlS6W8vFyqq6vl22+/leDgYCkvL/dvCAOkVnYiIl999ZVYrVY5d+6cVFVVybp168RiscjTp0/9F8AgqZlfZw8ePNDkt43Uyq++vl6ioqIkOTlZ6urqusxNNFgB07ysWbNGAHTbSkpKREQkMzPT4/7x48f3OKen5qWkpEQAyIMHD9xjT548kbS0NDGZTGIymSQtLU2ePXum+Bp9SYn8jh07JrGxsRIaGirvvfeeTJs2TbKysrpc3vaU3/Xr1+Wzzz6TUaNGiclkkjlz5khBQYGfVj54ambX0tIi33zzjVgsFjGZTLJgwQKpqKjw08qVoWZ+nWm1eVErv9zcXI/zBtB7ZvIhnUgv1/yIiIiIhhjegCQiIiJNYfNCREREmsLmhYiIiDSFzQsRERFpCpsXIiIi0hQ2L0RERKQpbF6IiIhIU9i8EBERkaaweSEiIiJNYfNCREREmsLmhYiIiDSFzQsR9aqpqQljx45FVlaWe6ysrAzDhg3D+fPnVayMiAIVH8xIRH0qKCjAkiVLUFpaiujoaMyaNQuLFy9Gdna22qURUQBi80JEXvniiy9QVFSEjz76CE6nE9evX4fBYFC7LCIKQGxeiMgrb968wfTp0/HXX3/hxo0biImJUbskIgpQ/MwLEXnl/v37aGhoQHt7Ox4+fKh2OUQUwHjlhYj61NLSgvj4eMycORPR0dH45ZdfcPv2bURERKhdGhEFIDYvRNSnLVu24M8//4TT6URoaCiSkpJgMplw5swZtUsjogDE20ZE1KuLFy8iOzsbeXl5CAsLg16vR15eHq5cuYKDBw+qXR4RBSBeeSEiIiJN4ZUXIiIi0hQ2L0RERKQpbF6IiIhIU9i8EBERkaaweSEiIiJNYfNCREREmsLmhYiIiDSFzQsRERFpCpsXIiIi0hQ2L0RERKQpbF6IiIhIU/4DusJTZQ9Vh/sAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "latent_dim_cube.sum(dim=\"channel\").plot.imshow()"
    ]
@@ -1952,512 +485,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "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",
-       "<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",
-       ":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 (channel: 64)&gt; Size: 512B\n",
-       "array([ 3.05193448,  0.07984048, -0.19406716,  0.23198933, -0.28311083,\n",
-       "        0.06425693, -0.41277254,  0.10719062,  0.21293048,  0.18220075,\n",
-       "        0.02312008,  0.26989496, -3.81439401,  0.01594482,  0.21865739,\n",
-       "        2.11210263, -0.34720822, -0.01163836,  0.0337085 , -0.14257216,\n",
-       "       -2.99752761, -0.09423765,  0.09816827, -1.24537382, -2.30954931,\n",
-       "       -0.71140406,  0.2917199 , -0.0769781 , -0.03020979, -0.22612203,\n",
-       "       -2.74899594,  0.38115255, -0.82641506, -0.48060534,  0.07423552,\n",
-       "       -0.33775832,  0.22184855,  0.06239392,  1.01446021,  0.05642529,\n",
-       "        0.01650721,  1.78647155,  0.32631236, -0.45510718,  0.24257852,\n",
-       "        0.43398264, -0.04324041,  0.19464324,  0.64706841, -0.03532742,\n",
-       "       -0.28180135, -4.13436094,  3.57349098, -1.55306568, -4.02541322,\n",
-       "       -0.01129879, -0.14259338,  0.12843601, -0.26321372, -0.1023512 ,\n",
-       "       -3.86097112,  0.10304318,  0.17730129,  0.16089438])\n",
-       "Coordinates:\n",
-       "    y        float64 8B 47.8\n",
-       "    x        float64 8B -123.7\n",
-       "Dimensions without coordinates: channel</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'></div><ul class='xr-dim-list'><li><span>channel</span>: 64</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-58d52057-4b83-4f2d-8979-99df574e8ff0' class='xr-array-in' type='checkbox' checked><label for='section-58d52057-4b83-4f2d-8979-99df574e8ff0' 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>3.052 0.07984 -0.1941 0.232 -0.2831 ... -3.861 0.103 0.1773 0.1609</span></div><div class='xr-array-data'><pre>array([ 3.05193448,  0.07984048, -0.19406716,  0.23198933, -0.28311083,\n",
-       "        0.06425693, -0.41277254,  0.10719062,  0.21293048,  0.18220075,\n",
-       "        0.02312008,  0.26989496, -3.81439401,  0.01594482,  0.21865739,\n",
-       "        2.11210263, -0.34720822, -0.01163836,  0.0337085 , -0.14257216,\n",
-       "       -2.99752761, -0.09423765,  0.09816827, -1.24537382, -2.30954931,\n",
-       "       -0.71140406,  0.2917199 , -0.0769781 , -0.03020979, -0.22612203,\n",
-       "       -2.74899594,  0.38115255, -0.82641506, -0.48060534,  0.07423552,\n",
-       "       -0.33775832,  0.22184855,  0.06239392,  1.01446021,  0.05642529,\n",
-       "        0.01650721,  1.78647155,  0.32631236, -0.45510718,  0.24257852,\n",
-       "        0.43398264, -0.04324041,  0.19464324,  0.64706841, -0.03532742,\n",
-       "       -0.28180135, -4.13436094,  3.57349098, -1.55306568, -4.02541322,\n",
-       "       -0.01129879, -0.14259338,  0.12843601, -0.26321372, -0.1023512 ,\n",
-       "       -3.86097112,  0.10304318,  0.17730129,  0.16089438])</pre></div></div></li><li class='xr-section-item'><input id='section-a8c54edd-0c5f-4fce-a078-2d71ec2f8c2d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8c54edd-0c5f-4fce-a078-2d71ec2f8c2d' class='xr-section-summary' >Coordinates: <span>(2)</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>y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.8</div><input id='attrs-6dd1bd6e-800b-44c2-988a-028e046e2e68' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6dd1bd6e-800b-44c2-988a-028e046e2e68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bd1e1b7-2f88-48ba-9d8b-f619136fb37c' class='xr-var-data-in' type='checkbox'><label for='data-9bd1e1b7-2f88-48ba-9d8b-f619136fb37c' 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(47.80222222)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-123.7</div><input id='attrs-f85a01b8-2760-4bb0-8e2a-c2519a8be817' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f85a01b8-2760-4bb0-8e2a-c2519a8be817' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f49e218b-a970-4ed8-94cb-1d91cc06980f' class='xr-var-data-in' type='checkbox'><label for='data-f49e218b-a970-4ed8-94cb-1d91cc06980f' 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(-123.70444444)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6631f3aa-6fea-4861-9e73-e1b79e0f6172' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6631f3aa-6fea-4861-9e73-e1b79e0f6172' 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-fe622e93-095e-443f-8f9a-3c0516f125d0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe622e93-095e-443f-8f9a-3c0516f125d0' 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 (channel: 64)> Size: 512B\n",
-       "array([ 3.05193448,  0.07984048, -0.19406716,  0.23198933, -0.28311083,\n",
-       "        0.06425693, -0.41277254,  0.10719062,  0.21293048,  0.18220075,\n",
-       "        0.02312008,  0.26989496, -3.81439401,  0.01594482,  0.21865739,\n",
-       "        2.11210263, -0.34720822, -0.01163836,  0.0337085 , -0.14257216,\n",
-       "       -2.99752761, -0.09423765,  0.09816827, -1.24537382, -2.30954931,\n",
-       "       -0.71140406,  0.2917199 , -0.0769781 , -0.03020979, -0.22612203,\n",
-       "       -2.74899594,  0.38115255, -0.82641506, -0.48060534,  0.07423552,\n",
-       "       -0.33775832,  0.22184855,  0.06239392,  1.01446021,  0.05642529,\n",
-       "        0.01650721,  1.78647155,  0.32631236, -0.45510718,  0.24257852,\n",
-       "        0.43398264, -0.04324041,  0.19464324,  0.64706841, -0.03532742,\n",
-       "       -0.28180135, -4.13436094,  3.57349098, -1.55306568, -4.02541322,\n",
-       "       -0.01129879, -0.14259338,  0.12843601, -0.26321372, -0.1023512 ,\n",
-       "       -3.86097112,  0.10304318,  0.17730129,  0.16089438])\n",
-       "Coordinates:\n",
-       "    y        float64 8B 47.8\n",
-       "    x        float64 8B -123.7\n",
-       "Dimensions without coordinates: channel"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "olympus = dict(x=-123.7066, y=47.7998)\n",
     "olympus_latent = latent_dim_cube.sel(**olympus, method=\"nearest\")\n",
@@ -2466,7 +496,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2476,7 +506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2492,20 +522,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "olympus_similarity.plot.imshow()\n",
     "plt.scatter(olympus[\"x\"], olympus[\"y\"], marker=\"*\", c=\"purple\", edgecolor=\"black\", s=200)\n",
@@ -2522,22 +541,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": null,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "grisdale = dict(y=47.356625678465925, x=-123.61183314426664)\n",
     "grisdale_latent = latent_dim_cube.sel(**grisdale, method=\"nearest\")\n",
@@ -2553,6 +561,7 @@
     "\n",
     "grisdale_similarity.plot.imshow()\n",
     "plt.scatter(grisdale[\"x\"], grisdale[\"y\"], marker=\"*\", c=\"purple\", edgecolor=\"black\", s=200)\n",
+    "plt.title(\"Cosine similarity with Grisdale, WA\")\n",
     "plt.show()"
    ]
   },
diff --git a/notebooks/functions.py b/notebooks/functions.py
index 47f08dd9..83e79008 100644
--- a/notebooks/functions.py
+++ b/notebooks/functions.py
@@ -112,7 +112,8 @@ def predict_on_array(
     core_dim: list[str],
     resample_dim: list[str],
     resample_mode: Literal["centers", "edges"]="edges",
-    batch_size: int=16
+    batch_size: int=16,
+    progress_bar: bool=True
 ) -> xr.DataArray:
     '''
     Generate predictions from a PyTorch model and reassemble predictions
@@ -153,6 +154,9 @@ def predict_on_array(
     ``resample_mode`` (``"edges"|"centers"``): Whether to treat coordinates on the input
     array as pixel edges or centers.
 
+    ``progress_bar`` (``bool``): Whether to show a progress bar while iterating 
+    over ``dataset``.
+
     Notes
     -----
     The output array size is determined by the axes in ``output_tensor_dim`` according
@@ -209,7 +213,7 @@ def predict_on_array(
     loader = torch.utils.data.DataLoader(dataset, batch_size=batch_size)
 
     # Iterate over each batch
-    for i, batch in tqdm(enumerate(loader), total=len(loader)):
+    for i, batch in tqdm(enumerate(loader), total=len(loader), disable=not progress_bar):
         input_tensor = batch[0] if isinstance(batch, (list, tuple)) else batch
         out_batch = model(input_tensor).detach().numpy()
 
@@ -247,4 +251,4 @@ def predict_on_array(
         )
     )
 
-    return output_da
\ No newline at end of file
+    return output_da
diff --git a/notebooks/inference-testing.ipynb b/notebooks/inference-testing.ipynb
index 56000811..71a3e603 100644
--- a/notebooks/inference-testing.ipynb
+++ b/notebooks/inference-testing.ipynb
@@ -23,7 +23,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -45,17 +45,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Overwriting test_get_array_size.py\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%%writefile test_get_array_size.py\n",
     "import torch\n",
@@ -69,17 +61,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Appending to test_get_array_size.py\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%%writefile -a test_get_array_size.py\n",
     "\n",
@@ -175,17 +159,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Appending to test_get_array_size.py\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%%writefile -a test_get_array_size.py\n",
     "\n",
@@ -212,33 +188,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[1m============================= test session starts ==============================\u001b[0m\n",
-      "platform darwin -- Python 3.13.5, pytest-8.4.1, pluggy-1.6.0 -- /Users/nkalauni/miniconda3/envs/cookbook-dev/bin/python3.13\n",
-      "cachedir: .pytest_cache\n",
-      "rootdir: /Users/nkalauni/Documents/Cline/xbatcher-deep-learning/notebooks\n",
-      "plugins: anyio-4.10.0\n",
-      "collected 8 items                                                              \u001b[0m\u001b[1m\n",
-      "\n",
-      "test_get_array_size.py::test_get_output_array_size_scenarios[Resampling only: Downsample x, Upsample y-output_tensor_dim0-new_dim0-core_dim0-resample_dim0-expected_output0] \u001b[32mPASSED\u001b[0m\u001b[32m [ 12%]\u001b[0m\n",
-      "test_get_array_size.py::test_get_output_array_size_scenarios[New dimensions only: Add a 'channel' dimension-output_tensor_dim1-new_dim1-core_dim1-resample_dim1-expected_output1] \u001b[32mPASSED\u001b[0m\u001b[32m [ 25%]\u001b[0m\n",
-      "test_get_array_size.py::test_get_output_array_size_scenarios[Mixed: Resample x, add new channel dimension and keep t as core-output_tensor_dim2-new_dim2-core_dim2-resample_dim2-expected_output2] \u001b[32mPASSED\u001b[0m\u001b[32m [ 37%]\u001b[0m\n",
-      "test_get_array_size.py::test_get_output_array_size_scenarios[Identity resampling (ratio=1)-output_tensor_dim3-new_dim3-core_dim3-resample_dim3-expected_output3] \u001b[32mPASSED\u001b[0m\u001b[32m [ 50%]\u001b[0m\n",
-      "test_get_array_size.py::test_get_output_array_size_scenarios[Core dims only: 't' is a core dim-output_tensor_dim4-new_dim4-core_dim4-resample_dim4-expected_output4] \u001b[32mPASSED\u001b[0m\u001b[32m [ 62%]\u001b[0m\n",
-      "test_get_array_size.py::test_get_output_array_size_raises_error_on_mismatched_core_dim \u001b[32mPASSED\u001b[0m\u001b[32m [ 75%]\u001b[0m\n",
-      "test_get_array_size.py::test_get_output_array_size_raises_error_on_unspecified_dim \u001b[32mPASSED\u001b[0m\u001b[32m [ 87%]\u001b[0m\n",
-      "test_get_array_size.py::test_get_resample_factor_raises_error_on_invalid_ratio \u001b[32mPASSED\u001b[0m\u001b[32m [100%]\u001b[0m\n",
-      "\n",
-      "\u001b[32m============================== \u001b[32m\u001b[1m8 passed\u001b[0m\u001b[32m in 1.00s\u001b[0m\u001b[32m ===============================\u001b[0m\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "!pytest -v test_get_array_size.py"
    ]
@@ -252,17 +204,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Overwriting test_predict_on_array.py\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%%writefile test_predict_on_array.py\n",
     "import xarray as xr\n",
@@ -279,7 +223,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -296,20 +240,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([0., 1., 2., 3., 4.])"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "input_tensor = torch.arange(125).reshape((5, 5, 5)).to(torch.float32)\n",
     "input_tensor[0,0,:]"
@@ -317,20 +250,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "torch.Size([5, 10, 5])"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "model = ExpandAlongAxis(1, 2)\n",
     "model(input_tensor).shape"
@@ -338,17 +260,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Appending to test_predict_on_array.py\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%%writefile -a test_predict_on_array.py\n",
     "\n",
@@ -365,7 +279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -384,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -393,568 +307,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "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",
-       "<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",
-       ":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 (x: 20, y: 10)&gt; Size: 2kB\n",
-       "array([[  0.,   1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.],\n",
-       "       [ 10.,  11.,  12.,  13.,  14.,  15.,  16.,  17.,  18.,  19.],\n",
-       "       [ 20.,  21.,  22.,  23.,  24.,  25.,  26.,  27.,  28.,  29.],\n",
-       "       [ 30.,  31.,  32.,  33.,  34.,  35.,  36.,  37.,  38.,  39.],\n",
-       "       [ 40.,  41.,  42.,  43.,  44.,  45.,  46.,  47.,  48.,  49.],\n",
-       "       [ 50.,  51.,  52.,  53.,  54.,  55.,  56.,  57.,  58.,  59.],\n",
-       "       [ 60.,  61.,  62.,  63.,  64.,  65.,  66.,  67.,  68.,  69.],\n",
-       "       [ 70.,  71.,  72.,  73.,  74.,  75.,  76.,  77.,  78.,  79.],\n",
-       "       [ 80.,  81.,  82.,  83.,  84.,  85.,  86.,  87.,  88.,  89.],\n",
-       "       [ 90.,  91.,  92.,  93.,  94.,  95.,  96.,  97.,  98.,  99.],\n",
-       "       [100., 101., 102., 103., 104., 105., 106., 107., 108., 109.],\n",
-       "       [110., 111., 112., 113., 114., 115., 116., 117., 118., 119.],\n",
-       "       [120., 121., 122., 123., 124., 125., 126., 127., 128., 129.],\n",
-       "       [130., 131., 132., 133., 134., 135., 136., 137., 138., 139.],\n",
-       "       [140., 141., 142., 143., 144., 145., 146., 147., 148., 149.],\n",
-       "       [150., 151., 152., 153., 154., 155., 156., 157., 158., 159.],\n",
-       "       [160., 161., 162., 163., 164., 165., 166., 167., 168., 169.],\n",
-       "       [170., 171., 172., 173., 174., 175., 176., 177., 178., 179.],\n",
-       "       [180., 181., 182., 183., 184., 185., 186., 187., 188., 189.],\n",
-       "       [190., 191., 192., 193., 194., 195., 196., 197., 198., 199.]])\n",
-       "Coordinates:\n",
-       "  * x        (x) int64 160B 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19\n",
-       "  * y        (y) int64 80B 0 1 2 3 4 5 6 7 8 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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 20</li><li><span class='xr-has-index'>y</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-54c787b3-d754-4f1a-842e-14386c9257fd' class='xr-array-in' type='checkbox' checked><label for='section-54c787b3-d754-4f1a-842e-14386c9257fd' 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 1.0 2.0 3.0 4.0 5.0 6.0 ... 194.0 195.0 196.0 197.0 198.0 199.0</span></div><div class='xr-array-data'><pre>array([[  0.,   1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.],\n",
-       "       [ 10.,  11.,  12.,  13.,  14.,  15.,  16.,  17.,  18.,  19.],\n",
-       "       [ 20.,  21.,  22.,  23.,  24.,  25.,  26.,  27.,  28.,  29.],\n",
-       "       [ 30.,  31.,  32.,  33.,  34.,  35.,  36.,  37.,  38.,  39.],\n",
-       "       [ 40.,  41.,  42.,  43.,  44.,  45.,  46.,  47.,  48.,  49.],\n",
-       "       [ 50.,  51.,  52.,  53.,  54.,  55.,  56.,  57.,  58.,  59.],\n",
-       "       [ 60.,  61.,  62.,  63.,  64.,  65.,  66.,  67.,  68.,  69.],\n",
-       "       [ 70.,  71.,  72.,  73.,  74.,  75.,  76.,  77.,  78.,  79.],\n",
-       "       [ 80.,  81.,  82.,  83.,  84.,  85.,  86.,  87.,  88.,  89.],\n",
-       "       [ 90.,  91.,  92.,  93.,  94.,  95.,  96.,  97.,  98.,  99.],\n",
-       "       [100., 101., 102., 103., 104., 105., 106., 107., 108., 109.],\n",
-       "       [110., 111., 112., 113., 114., 115., 116., 117., 118., 119.],\n",
-       "       [120., 121., 122., 123., 124., 125., 126., 127., 128., 129.],\n",
-       "       [130., 131., 132., 133., 134., 135., 136., 137., 138., 139.],\n",
-       "       [140., 141., 142., 143., 144., 145., 146., 147., 148., 149.],\n",
-       "       [150., 151., 152., 153., 154., 155., 156., 157., 158., 159.],\n",
-       "       [160., 161., 162., 163., 164., 165., 166., 167., 168., 169.],\n",
-       "       [170., 171., 172., 173., 174., 175., 176., 177., 178., 179.],\n",
-       "       [180., 181., 182., 183., 184., 185., 186., 187., 188., 189.],\n",
-       "       [190., 191., 192., 193., 194., 195., 196., 197., 198., 199.]])</pre></div></div></li><li class='xr-section-item'><input id='section-1125f5db-6713-4af6-ab45-347a8559f0bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1125f5db-6713-4af6-ab45-347a8559f0bb' class='xr-section-summary' >Coordinates: <span>(2)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 14 15 16 17 18 19</div><input id='attrs-6950af22-b3ea-42ab-9bd7-60d873fa5e70' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6950af22-b3ea-42ab-9bd7-60d873fa5e70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df0beec6-cf56-42d7-b8f3-e80b01a371c8' class='xr-var-data-in' type='checkbox'><label for='data-df0beec6-cf56-42d7-b8f3-e80b01a371c8' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-c3e9af30-ebac-4002-9b87-8e639ebf3bd0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c3e9af30-ebac-4002-9b87-8e639ebf3bd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aad63b8f-eb76-4e0e-b69d-b7a87c013ede' class='xr-var-data-in' type='checkbox'><label for='data-aad63b8f-eb76-4e0e-b69d-b7a87c013ede' 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, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a85abbd7-0375-4b25-9b40-5fe06ec0c1f1' class='xr-section-summary-in' type='checkbox'  ><label for='section-a85abbd7-0375-4b25-9b40-5fe06ec0c1f1' class='xr-section-summary' >Indexes: <span>(2)</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>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0e70c499-df79-456a-8792-81812d5a863e' class='xr-index-data-in' type='checkbox'/><label for='index-0e70c499-df79-456a-8792-81812d5a863e' 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, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f8eef14d-cc6a-4163-83e0-59c71b6a12b7' class='xr-index-data-in' type='checkbox'/><label for='index-f8eef14d-cc6a-4163-83e0-59c71b6a12b7' 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, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-407405ff-fc30-4c2a-98ea-988cde6c1897' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-407405ff-fc30-4c2a-98ea-988cde6c1897' 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 (x: 20, y: 10)> Size: 2kB\n",
-       "array([[  0.,   1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.],\n",
-       "       [ 10.,  11.,  12.,  13.,  14.,  15.,  16.,  17.,  18.,  19.],\n",
-       "       [ 20.,  21.,  22.,  23.,  24.,  25.,  26.,  27.,  28.,  29.],\n",
-       "       [ 30.,  31.,  32.,  33.,  34.,  35.,  36.,  37.,  38.,  39.],\n",
-       "       [ 40.,  41.,  42.,  43.,  44.,  45.,  46.,  47.,  48.,  49.],\n",
-       "       [ 50.,  51.,  52.,  53.,  54.,  55.,  56.,  57.,  58.,  59.],\n",
-       "       [ 60.,  61.,  62.,  63.,  64.,  65.,  66.,  67.,  68.,  69.],\n",
-       "       [ 70.,  71.,  72.,  73.,  74.,  75.,  76.,  77.,  78.,  79.],\n",
-       "       [ 80.,  81.,  82.,  83.,  84.,  85.,  86.,  87.,  88.,  89.],\n",
-       "       [ 90.,  91.,  92.,  93.,  94.,  95.,  96.,  97.,  98.,  99.],\n",
-       "       [100., 101., 102., 103., 104., 105., 106., 107., 108., 109.],\n",
-       "       [110., 111., 112., 113., 114., 115., 116., 117., 118., 119.],\n",
-       "       [120., 121., 122., 123., 124., 125., 126., 127., 128., 129.],\n",
-       "       [130., 131., 132., 133., 134., 135., 136., 137., 138., 139.],\n",
-       "       [140., 141., 142., 143., 144., 145., 146., 147., 148., 149.],\n",
-       "       [150., 151., 152., 153., 154., 155., 156., 157., 158., 159.],\n",
-       "       [160., 161., 162., 163., 164., 165., 166., 167., 168., 169.],\n",
-       "       [170., 171., 172., 173., 174., 175., 176., 177., 178., 179.],\n",
-       "       [180., 181., 182., 183., 184., 185., 186., 187., 188., 189.],\n",
-       "       [190., 191., 192., 193., 194., 195., 196., 197., 198., 199.]])\n",
-       "Coordinates:\n",
-       "  * x        (x) int64 160B 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19\n",
-       "  * y        (y) int64 80B 0 1 2 3 4 5 6 7 8 9"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[ 3.,  4.,  5.,  6.,  7.],\n",
-       "        [13., 14., 15., 16., 17.],\n",
-       "        [23., 24., 25., 26., 27.],\n",
-       "        [33., 34., 35., 36., 37.],\n",
-       "        [43., 44., 45., 46., 47.],\n",
-       "        [53., 54., 55., 56., 57.],\n",
-       "        [63., 64., 65., 66., 67.],\n",
-       "        [73., 74., 75., 76., 77.],\n",
-       "        [83., 84., 85., 86., 87.],\n",
-       "        [93., 94., 95., 96., 97.]], dtype=torch.float64)"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds[1]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -966,47 +337,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "torch.Size([10, 5])"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds[0].shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "torch.Size([10, 10])"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "model(ds[0]).shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1021,22 +370,15 @@
     "    core_dim=core_dim,\n",
     "    resample_dim=resample_dim,\n",
     "    batch_size=4\n",
+    "    progress_bar=False\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Appending to test_predict_on_array.py\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%%writefile -a test_predict_on_array.py\n",
     "\n",
@@ -1052,17 +394,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Appending to test_predict_on_array.py\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%%writefile -a test_predict_on_array.py\n",
     "\n",
@@ -1119,7 +453,8 @@
     "    # --- Run the function under test ---\n",
     "    result_da = predict_on_array(\n",
     "        dataset=dataset, model=model, output_tensor_dim=output_tensor_dim,\n",
-    "        new_dim=new_dim, core_dim=core_dim, resample_dim=resample_dim, batch_size=4\n",
+    "        new_dim=new_dim, core_dim=core_dim, resample_dim=resample_dim, batch_size=4,\n",
+    "        progress_bar=False\n",
     "    )\n",
     "\n",
     "    # --- Manually calculate the expected result ---\n",
@@ -1151,42 +486,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[1m============================= test session starts ==============================\u001b[0m\n",
-      "platform darwin -- Python 3.13.5, pytest-8.4.1, pluggy-1.6.0 -- /Users/nkalauni/miniconda3/envs/cookbook-dev/bin/python3.13\n",
-      "cachedir: .pytest_cache\n",
-      "rootdir: /Users/nkalauni/Documents/Cline/xbatcher-deep-learning/notebooks\n",
-      "plugins: anyio-4.10.0\n",
-      "collected 7 items                                                              \u001b[0m\u001b[1m\n",
-      "\n",
-      "test_predict_on_array.py::test_resample_coordinate[2.0-edges-expected0] \u001b[32mPASSED\u001b[0m\u001b[32m [ 14%]\u001b[0m\n",
-      "test_predict_on_array.py::test_resample_coordinate[0.5-edges-expected1] \u001b[32mPASSED\u001b[0m\u001b[32m [ 28%]\u001b[0m\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model0-output_tensor_dim0-new_dim0-core_dim0-resample_dim0-<lambda>] \u001b[32mPASSED\u001b[0m\u001b[32m [ 42%]\u001b[0m\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model1-output_tensor_dim1-new_dim1-core_dim1-resample_dim1-<lambda>] \u001b[32mPASSED\u001b[0m\u001b[33m [ 57%]\u001b[0m\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model2-output_tensor_dim2-new_dim2-core_dim2-resample_dim2-<lambda>] \u001b[32mPASSED\u001b[0m\u001b[33m [ 71%]\u001b[0m\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model3-output_tensor_dim3-new_dim3-core_dim3-resample_dim3-<lambda>] \u001b[32mPASSED\u001b[0m\u001b[33m [ 85%]\u001b[0m\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model4-output_tensor_dim4-new_dim4-core_dim4-resample_dim4-<lambda>] \u001b[32mPASSED\u001b[0m\u001b[33m [100%]\u001b[0m\n",
-      "\n",
-      "\u001b[33m=============================== warnings summary ===============================\u001b[0m\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model0-output_tensor_dim0-new_dim0-core_dim0-resample_dim0-<lambda>]\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model1-output_tensor_dim1-new_dim1-core_dim1-resample_dim1-<lambda>]\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model2-output_tensor_dim2-new_dim2-core_dim2-resample_dim2-<lambda>]\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model3-output_tensor_dim3-new_dim3-core_dim3-resample_dim3-<lambda>]\n",
-      "test_predict_on_array.py::test_predict_on_array_all_models[model4-output_tensor_dim4-new_dim4-core_dim4-resample_dim4-<lambda>]\n",
-      "  /Users/nkalauni/Documents/Cline/xbatcher-deep-learning/notebooks/test_predict_on_array.py:108: RuntimeWarning: invalid value encountered in divide\n",
-      "    expected_avg_data = expected_sum.data / expected_count.data\n",
-      "\n",
-      "-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n",
-      "\u001b[33m======================== \u001b[32m7 passed\u001b[0m, \u001b[33m\u001b[1m5 warnings\u001b[0m\u001b[33m in 1.25s\u001b[0m\u001b[33m =========================\u001b[0m\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "!pytest -v test_predict_on_array.py"
    ]
diff --git a/notebooks/test_predict_on_array.py b/notebooks/test_predict_on_array.py
index 8f45aa4f..36d4e453 100644
--- a/notebooks/test_predict_on_array.py
+++ b/notebooks/test_predict_on_array.py
@@ -81,7 +81,8 @@ def test_predict_on_array_all_models(
     # --- Run the function under test ---
     result_da = predict_on_array(
         dataset=dataset, model=model, output_tensor_dim=output_tensor_dim,
-        new_dim=new_dim, core_dim=core_dim, resample_dim=resample_dim, batch_size=4
+        new_dim=new_dim, core_dim=core_dim, resample_dim=resample_dim, batch_size=4,
+        progress_bar=False
     )
 
     # --- Manually calculate the expected result ---
diff --git a/notebooks/xbatcher_dataloading.ipynb b/notebooks/xbatcher_dataloading.ipynb
index c6d63682..533c104d 100644
--- a/notebooks/xbatcher_dataloading.ipynb
+++ b/notebooks/xbatcher_dataloading.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Dataloading from Xarray Datasets"
+    "# Loading Batches from Xarray Objects"
    ]
   },
   {
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,589 +63,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "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",
-       "<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",
-       ":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.Dataset&gt; Size: 8MB\n",
-       "Dimensions:        (x: 100, y: 100, time: 50)\n",
-       "Coordinates:\n",
-       "  * x              (x) int64 800B 0 1 2 3 4 5 6 7 8 ... 92 93 94 95 96 97 98 99\n",
-       "  * y              (y) int64 800B 0 1 2 3 4 5 6 7 8 ... 92 93 94 95 96 97 98 99\n",
-       "  * time           (time) int64 400B 0 1 2 3 4 5 6 7 ... 42 43 44 45 46 47 48 49\n",
-       "Data variables:\n",
-       "    temperature    (x, y, time) float64 4MB 0.2468 0.6908 ... 0.3448 0.01941\n",
-       "    precipitation  (x, y, time) float64 4MB 0.5433 0.4288 ... 0.6866 0.9147</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-afa2eb7b-3a3f-49bd-88bd-1d2ab2f79c9f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-afa2eb7b-3a3f-49bd-88bd-1d2ab2f79c9f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 100</li><li><span class='xr-has-index'>y</span>: 100</li><li><span class='xr-has-index'>time</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-092aa8d2-e488-4a1d-a584-1b69129294ad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-092aa8d2-e488-4a1d-a584-1b69129294ad' class='xr-section-summary' >Coordinates: <span>(3)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-849419e8-42b0-4015-85de-ce2c98dc7310' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-849419e8-42b0-4015-85de-ce2c98dc7310' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39f22e39-c2b0-431c-a7f3-3285126f1830' class='xr-var-data-in' type='checkbox'><label for='data-39f22e39-c2b0-431c-a7f3-3285126f1830' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
-       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
-       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
-       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 94 95 96 97 98 99</div><input id='attrs-b9697f0f-f0f6-4cec-80d5-679fc2668242' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9697f0f-f0f6-4cec-80d5-679fc2668242' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19f23877-0dbb-4800-bf78-413bdfe71d18' class='xr-var-data-in' type='checkbox'><label for='data-19f23877-0dbb-4800-bf78-413bdfe71d18' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
-       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
-       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
-       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 44 45 46 47 48 49</div><input id='attrs-de7abf86-4c58-40d8-8ab0-140389370cc1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de7abf86-4c58-40d8-8ab0-140389370cc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77799f88-2e24-4d09-a895-64a37fe519c1' class='xr-var-data-in' type='checkbox'><label for='data-77799f88-2e24-4d09-a895-64a37fe519c1' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dae0412a-4f50-48c2-a22e-db7ca93a635a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dae0412a-4f50-48c2-a22e-db7ca93a635a' class='xr-section-summary' >Data variables: <span>(2)</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>temperature</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2468 0.6908 ... 0.3448 0.01941</div><input id='attrs-e2414490-93bd-47cb-87b0-a8ad47d95a7c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2414490-93bd-47cb-87b0-a8ad47d95a7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad0f69a0-b848-4742-a617-c880157de148' class='xr-var-data-in' type='checkbox'><label for='data-ad0f69a0-b848-4742-a617-c880157de148' 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([[[0.24682844, 0.69081672, 0.96720518, ..., 0.11240097,\n",
-       "         0.10044192, 0.79644151],\n",
-       "        [0.24038281, 0.96328713, 0.22170606, ..., 0.03169398,\n",
-       "         0.30235132, 0.80048727],\n",
-       "        [0.68637747, 0.74371269, 0.61625334, ..., 0.06145135,\n",
-       "         0.10378815, 0.41320861],\n",
-       "        ...,\n",
-       "        [0.62789774, 0.68249844, 0.09742769, ..., 0.43677362,\n",
-       "         0.04308352, 0.48304198],\n",
-       "        [0.31257937, 0.99055853, 0.16095043, ..., 0.11258956,\n",
-       "         0.07932776, 0.47219532],\n",
-       "        [0.49259431, 0.56424401, 0.26274848, ..., 0.02672255,\n",
-       "         0.10793175, 0.76343296]],\n",
-       "\n",
-       "       [[0.408265  , 0.43346643, 0.42964684, ..., 0.8495542 ,\n",
-       "         0.2739301 , 0.42147242],\n",
-       "        [0.68451605, 0.42944393, 0.56167681, ..., 0.8026271 ,\n",
-       "         0.07303068, 0.60130509],\n",
-       "        [0.38409908, 0.83891951, 0.37150232, ..., 0.29054855,\n",
-       "         0.32179097, 0.65845029],\n",
-       "...\n",
-       "        [0.4582601 , 0.63286992, 0.32984255, ..., 0.7064393 ,\n",
-       "         0.96404642, 0.84140133],\n",
-       "        [0.70751285, 0.56010978, 0.49893696, ..., 0.89053538,\n",
-       "         0.77034926, 0.77318189],\n",
-       "        [0.21451231, 0.60671338, 0.52036337, ..., 0.0819301 ,\n",
-       "         0.48516041, 0.89691409]],\n",
-       "\n",
-       "       [[0.1995598 , 0.89555329, 0.4269744 , ..., 0.15983214,\n",
-       "         0.72913718, 0.42771607],\n",
-       "        [0.79729517, 0.35953374, 0.4914779 , ..., 0.09123152,\n",
-       "         0.59308855, 0.30817687],\n",
-       "        [0.00919964, 0.54279487, 0.51433615, ..., 0.99735164,\n",
-       "         0.12455589, 0.92141403],\n",
-       "        ...,\n",
-       "        [0.5114754 , 0.50516184, 0.40327286, ..., 0.92657089,\n",
-       "         0.87330179, 0.831875  ],\n",
-       "        [0.85522406, 0.71766681, 0.78917871, ..., 0.4671241 ,\n",
-       "         0.06728586, 0.5333065 ],\n",
-       "        [0.25502245, 0.27682212, 0.39466372, ..., 0.71647191,\n",
-       "         0.34482995, 0.01940666]]], shape=(100, 100, 50))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5433 0.4288 ... 0.6866 0.9147</div><input id='attrs-806dddb4-11ff-4736-b7ec-72f345eaf745' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-806dddb4-11ff-4736-b7ec-72f345eaf745' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81c6e4bd-42e9-4b4c-8a80-fb8c0e8aabd0' class='xr-var-data-in' type='checkbox'><label for='data-81c6e4bd-42e9-4b4c-8a80-fb8c0e8aabd0' 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([[[5.43322940e-01, 4.28848627e-01, 2.58539098e-01, ...,\n",
-       "         4.45742641e-01, 6.59232678e-01, 4.96870075e-01],\n",
-       "        [6.53856537e-01, 2.13171983e-01, 5.04724751e-01, ...,\n",
-       "         6.59940979e-02, 5.23032262e-01, 2.55608922e-01],\n",
-       "        [9.06341608e-01, 1.52072415e-01, 1.57412421e-01, ...,\n",
-       "         1.78701060e-01, 4.91048859e-01, 6.83085059e-01],\n",
-       "        ...,\n",
-       "        [7.45343187e-01, 5.85710376e-01, 7.43167657e-02, ...,\n",
-       "         1.63549718e-01, 1.95753934e-01, 6.40499648e-01],\n",
-       "        [9.05566136e-01, 8.82630934e-01, 3.61467661e-01, ...,\n",
-       "         2.66032981e-01, 9.55562750e-01, 4.87526707e-01],\n",
-       "        [6.86004851e-01, 5.25201145e-01, 9.90193954e-01, ...,\n",
-       "         6.65504743e-01, 9.40865779e-01, 9.13697102e-01]],\n",
-       "\n",
-       "       [[8.70350167e-01, 1.24085631e-01, 2.05498564e-01, ...,\n",
-       "         9.86119137e-01, 3.90210044e-01, 8.18746208e-01],\n",
-       "        [6.87771593e-01, 4.40985859e-01, 7.80818666e-04, ...,\n",
-       "         6.43305664e-01, 8.89576600e-01, 6.05014723e-01],\n",
-       "        [9.36427286e-01, 1.81821483e-01, 1.21009549e-01, ...,\n",
-       "         1.93691597e-01, 7.17055651e-01, 4.23530205e-02],\n",
-       "...\n",
-       "         1.76776392e-02, 1.30946490e-01, 8.57256723e-01],\n",
-       "        [4.90694337e-01, 5.16088132e-01, 2.72746609e-02, ...,\n",
-       "         7.62623728e-01, 5.26074274e-01, 1.56755722e-01],\n",
-       "        [7.69221094e-01, 9.04355254e-01, 3.55326016e-01, ...,\n",
-       "         4.52413075e-01, 9.61854691e-01, 8.96263971e-01]],\n",
-       "\n",
-       "       [[6.20549314e-01, 3.74103317e-02, 3.59868421e-01, ...,\n",
-       "         4.51970362e-01, 2.59123450e-01, 4.10651785e-01],\n",
-       "        [8.26266741e-01, 2.62870893e-01, 6.64254114e-01, ...,\n",
-       "         4.47420295e-01, 2.51699375e-01, 2.32401448e-01],\n",
-       "        [3.36306995e-01, 2.93774721e-01, 2.47505336e-01, ...,\n",
-       "         4.94752194e-01, 7.07949760e-01, 2.53846432e-01],\n",
-       "        ...,\n",
-       "        [9.57818167e-01, 9.18740303e-01, 8.96296551e-01, ...,\n",
-       "         5.24288464e-02, 1.70480612e-01, 8.80031190e-01],\n",
-       "        [3.91610634e-01, 6.26419337e-01, 9.46641241e-03, ...,\n",
-       "         2.99272392e-01, 5.62618717e-01, 4.31124397e-01],\n",
-       "        [9.59534955e-01, 3.35319252e-01, 2.12749006e-01, ...,\n",
-       "         8.51636054e-01, 6.86613760e-01, 9.14679736e-01]]],\n",
-       "      shape=(100, 100, 50))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bca20498-71df-4c72-bc0f-1dd0b4b9461f' class='xr-section-summary-in' type='checkbox'  ><label for='section-bca20498-71df-4c72-bc0f-1dd0b4b9461f' class='xr-section-summary' >Indexes: <span>(3)</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>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2b0849a2-2dc1-4675-a944-a69cb8067578' class='xr-index-data-in' type='checkbox'/><label for='index-2b0849a2-2dc1-4675-a944-a69cb8067578' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
-       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
-       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
-       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d3e86c4d-6e03-4e47-bed3-e2f34cda1184' class='xr-index-data-in' type='checkbox'/><label for='index-d3e86c4d-6e03-4e47-bed3-e2f34cda1184' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,\n",
-       "       54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,\n",
-       "       72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89,\n",
-       "       90, 91, 92, 93, 94, 95, 96, 97, 98, 99],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-eb3c4853-cfe6-451a-8e46-7d8faa26fd16' class='xr-index-data-in' type='checkbox'/><label for='index-eb3c4853-cfe6-451a-8e46-7d8faa26fd16' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8882e1d2-80c4-4c80-b773-9c41fe8bea01' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8882e1d2-80c4-4c80-b773-9c41fe8bea01' 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.Dataset> Size: 8MB\n",
-       "Dimensions:        (x: 100, y: 100, time: 50)\n",
-       "Coordinates:\n",
-       "  * x              (x) int64 800B 0 1 2 3 4 5 6 7 8 ... 92 93 94 95 96 97 98 99\n",
-       "  * y              (y) int64 800B 0 1 2 3 4 5 6 7 8 ... 92 93 94 95 96 97 98 99\n",
-       "  * time           (time) int64 400B 0 1 2 3 4 5 6 7 ... 42 43 44 45 46 47 48 49\n",
-       "Data variables:\n",
-       "    temperature    (x, y, time) float64 4MB 0.2468 0.6908 ... 0.3448 0.01941\n",
-       "    precipitation  (x, y, time) float64 4MB 0.5433 0.4288 ... 0.6866 0.9147"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ds = xr.Dataset(\n",
     "    {\n",
@@ -679,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -697,567 +117,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "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",
-       "<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",
-       ":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.Dataset&gt; Size: 81kB\n",
-       "Dimensions:        (x: 10, y: 10, time: 50)\n",
-       "Coordinates:\n",
-       "  * x              (x) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "  * y              (y) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "  * time           (time) int64 400B 0 1 2 3 4 5 6 7 ... 42 43 44 45 46 47 48 49\n",
-       "Data variables:\n",
-       "    temperature    (x, y, time) float64 40kB 0.6357 0.8989 ... 0.7347 0.4043\n",
-       "    precipitation  (x, y, time) float64 40kB 0.05915 0.2899 ... 0.1648 0.06016</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-00971f7f-b764-462d-a033-557657a7b7e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-00971f7f-b764-462d-a033-557657a7b7e4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 10</li><li><span class='xr-has-index'>y</span>: 10</li><li><span class='xr-has-index'>time</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-644eeb38-a470-4806-91bf-3b9c95c2dc37' class='xr-section-summary-in' type='checkbox'  checked><label for='section-644eeb38-a470-4806-91bf-3b9c95c2dc37' class='xr-section-summary' >Coordinates: <span>(3)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-02b306de-cb4b-4963-baa1-272898761434' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02b306de-cb4b-4963-baa1-272898761434' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9af7b04a-994b-4401-99ae-bb5ed28b9d61' class='xr-var-data-in' type='checkbox'><label for='data-9af7b04a-994b-4401-99ae-bb5ed28b9d61' 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, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-b8196984-2126-4b12-8e18-635af13f19f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8196984-2126-4b12-8e18-635af13f19f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-887fc836-cbc5-4346-a822-dc26f5458b44' class='xr-var-data-in' type='checkbox'><label for='data-887fc836-cbc5-4346-a822-dc26f5458b44' 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, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 44 45 46 47 48 49</div><input id='attrs-1cfbc5fb-039c-46d2-927c-246f9296341f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1cfbc5fb-039c-46d2-927c-246f9296341f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d51dc39-50b6-4195-80f6-2a22c308e796' class='xr-var-data-in' type='checkbox'><label for='data-3d51dc39-50b6-4195-80f6-2a22c308e796' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8bf4406a-2a33-450f-88e7-995396d98b40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8bf4406a-2a33-450f-88e7-995396d98b40' class='xr-section-summary' >Data variables: <span>(2)</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>temperature</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6357 0.8989 ... 0.7347 0.4043</div><input id='attrs-b771a18a-5eac-4b59-be0d-2461624cc97d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b771a18a-5eac-4b59-be0d-2461624cc97d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-422f6939-6f19-4904-85f4-d575f4017b77' class='xr-var-data-in' type='checkbox'><label for='data-422f6939-6f19-4904-85f4-d575f4017b77' 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([[[0.63565455, 0.89887518, 0.81646879, ..., 0.78962751,\n",
-       "         0.6614516 , 0.52116413],\n",
-       "        [0.43127692, 0.91873569, 0.22462149, ..., 0.62198077,\n",
-       "         0.19307222, 0.57353738],\n",
-       "        [0.42704762, 0.12995448, 0.95211919, ..., 0.04199263,\n",
-       "         0.97855591, 0.82073587],\n",
-       "        ...,\n",
-       "        [0.51234315, 0.27875474, 0.70777659, ..., 0.8323501 ,\n",
-       "         0.05389681, 0.35300497],\n",
-       "        [0.0878044 , 0.10958909, 0.06338096, ..., 0.9776639 ,\n",
-       "         0.04244528, 0.47115623],\n",
-       "        [0.82056462, 0.26487027, 0.45940871, ..., 0.60839961,\n",
-       "         0.64630264, 0.3806642 ]],\n",
-       "\n",
-       "       [[0.84802505, 0.1145808 , 0.78832276, ..., 0.21859745,\n",
-       "         0.49410021, 0.72855391],\n",
-       "        [0.3328862 , 0.40824109, 0.24351075, ..., 0.59518464,\n",
-       "         0.99079218, 0.15278323],\n",
-       "        [0.98736821, 0.27835847, 0.34764326, ..., 0.21199744,\n",
-       "         0.33017424, 0.18014188],\n",
-       "...\n",
-       "        [0.64513228, 0.95997326, 0.93574633, ..., 0.20225859,\n",
-       "         0.20451669, 0.17821575],\n",
-       "        [0.49258946, 0.58140603, 0.83918436, ..., 0.95578676,\n",
-       "         0.49816906, 0.76993061],\n",
-       "        [0.98449982, 0.53862994, 0.63462726, ..., 0.08967598,\n",
-       "         0.24851078, 0.19866891]],\n",
-       "\n",
-       "       [[0.7464254 , 0.65930254, 0.32258785, ..., 0.44485772,\n",
-       "         0.4781749 , 0.48571647],\n",
-       "        [0.66366199, 0.43927405, 0.75152892, ..., 0.7427711 ,\n",
-       "         0.98302449, 0.94710525],\n",
-       "        [0.94584752, 0.66621029, 0.84733361, ..., 0.1911734 ,\n",
-       "         0.54840679, 0.58593981],\n",
-       "        ...,\n",
-       "        [0.00863211, 0.82926667, 0.42378902, ..., 0.93725128,\n",
-       "         0.38387613, 0.4430049 ],\n",
-       "        [0.74127861, 0.03295644, 0.22819606, ..., 0.62798414,\n",
-       "         0.96604213, 0.20800703],\n",
-       "        [0.05782585, 0.75147235, 0.92902935, ..., 0.42102117,\n",
-       "         0.73473588, 0.40432076]]], shape=(10, 10, 50))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.05915 0.2899 ... 0.1648 0.06016</div><input id='attrs-b088ed6e-c92a-4b9d-ab86-c7230678c005' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b088ed6e-c92a-4b9d-ab86-c7230678c005' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94e5c643-434e-4ee9-8723-a5db68a112e7' class='xr-var-data-in' type='checkbox'><label for='data-94e5c643-434e-4ee9-8723-a5db68a112e7' 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([[[0.05914964, 0.28988801, 0.64750414, ..., 0.08682353,\n",
-       "         0.91395542, 0.77776599],\n",
-       "        [0.01258337, 0.24944056, 0.2953123 , ..., 0.12859035,\n",
-       "         0.48030284, 0.66729221],\n",
-       "        [0.74565651, 0.69746562, 0.27159418, ..., 0.72169112,\n",
-       "         0.34697806, 0.41594107],\n",
-       "        ...,\n",
-       "        [0.51194151, 0.29965223, 0.99007743, ..., 0.54946877,\n",
-       "         0.39794322, 0.14200844],\n",
-       "        [0.19649853, 0.27879333, 0.58421569, ..., 0.96151102,\n",
-       "         0.7242996 , 0.24093129],\n",
-       "        [0.02498301, 0.36891632, 0.86329668, ..., 0.79437823,\n",
-       "         0.94045452, 0.65192752]],\n",
-       "\n",
-       "       [[0.43013735, 0.92817674, 0.07921616, ..., 0.13043865,\n",
-       "         0.33724679, 0.49683084],\n",
-       "        [0.53135874, 0.84170502, 0.0998087 , ..., 0.18336338,\n",
-       "         0.82905684, 0.91827121],\n",
-       "        [0.95776581, 0.49067849, 0.71957675, ..., 0.98148173,\n",
-       "         0.57225563, 0.20675619],\n",
-       "...\n",
-       "        [0.27864433, 0.18746638, 0.14409247, ..., 0.22645355,\n",
-       "         0.58451599, 0.73585107],\n",
-       "        [0.10349763, 0.15298515, 0.69948053, ..., 0.76768489,\n",
-       "         0.41563281, 0.16777153],\n",
-       "        [0.18679984, 0.57728626, 0.04678927, ..., 0.05365911,\n",
-       "         0.16061096, 0.54839559]],\n",
-       "\n",
-       "       [[0.38783092, 0.27216786, 0.96622681, ..., 0.05019342,\n",
-       "         0.15893745, 0.582206  ],\n",
-       "        [0.68966468, 0.8422615 , 0.26745176, ..., 0.01352329,\n",
-       "         0.8734107 , 0.6236444 ],\n",
-       "        [0.68949505, 0.81464641, 0.13347509, ..., 0.4617928 ,\n",
-       "         0.31744073, 0.0448504 ],\n",
-       "        ...,\n",
-       "        [0.58097705, 0.01771976, 0.36932121, ..., 0.84396867,\n",
-       "         0.52316895, 0.60507053],\n",
-       "        [0.05415984, 0.09119594, 0.38483387, ..., 0.72156318,\n",
-       "         0.65670778, 0.59768043],\n",
-       "        [0.41245077, 0.67757972, 0.78567932, ..., 0.31459039,\n",
-       "         0.1647562 , 0.06015959]]], shape=(10, 10, 50))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d0d4d7a-b794-4cf0-8fd1-5aab14c7c241' class='xr-section-summary-in' type='checkbox'  ><label for='section-9d0d4d7a-b794-4cf0-8fd1-5aab14c7c241' class='xr-section-summary' >Indexes: <span>(3)</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>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2155acad-2f1f-4c28-a1c6-fcf762b44622' class='xr-index-data-in' type='checkbox'/><label for='index-2155acad-2f1f-4c28-a1c6-fcf762b44622' 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, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-328315ec-de00-4258-8af5-db9cfd1228c4' class='xr-index-data-in' type='checkbox'/><label for='index-328315ec-de00-4258-8af5-db9cfd1228c4' 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, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c1d125e0-d051-4ae3-b7f6-19afc47d573a' class='xr-index-data-in' type='checkbox'/><label for='index-c1d125e0-d051-4ae3-b7f6-19afc47d573a' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a811f1f-c5f8-4fb3-8f4e-14fc03fee530' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a811f1f-c5f8-4fb3-8f4e-14fc03fee530' 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.Dataset> Size: 81kB\n",
-       "Dimensions:        (x: 10, y: 10, time: 50)\n",
-       "Coordinates:\n",
-       "  * x              (x) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "  * y              (y) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "  * time           (time) int64 400B 0 1 2 3 4 5 6 7 ... 42 43 44 45 46 47 48 49\n",
-       "Data variables:\n",
-       "    temperature    (x, y, time) float64 40kB 0.6357 0.8989 ... 0.7347 0.4043\n",
-       "    precipitation  (x, y, time) float64 40kB 0.05915 0.2899 ... 0.1648 0.06016"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "first_batch = next(iter(bgen))\n",
     "first_batch"
@@ -1305,17 +167,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The BatchGenerator contains 100 batches.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(f\"The BatchGenerator contains {len(bgen)} batches.\")"
    ]
@@ -1331,567 +185,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "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",
-       "<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",
-       ":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.Dataset&gt; Size: 81kB\n",
-       "Dimensions:        (x: 10, y: 10, time: 50)\n",
-       "Coordinates:\n",
-       "  * x              (x) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "  * y              (y) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "  * time           (time) int64 400B 0 1 2 3 4 5 6 7 ... 42 43 44 45 46 47 48 49\n",
-       "Data variables:\n",
-       "    temperature    (x, y, time) float64 40kB 0.6357 0.8989 ... 0.7347 0.4043\n",
-       "    precipitation  (x, y, time) float64 40kB 0.05915 0.2899 ... 0.1648 0.06016</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-eeec5101-9925-4d72-8cdb-da1e7e3c59db' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eeec5101-9925-4d72-8cdb-da1e7e3c59db' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 10</li><li><span class='xr-has-index'>y</span>: 10</li><li><span class='xr-has-index'>time</span>: 50</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1eae09f9-fe29-4941-a9d7-c39cba4d49a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1eae09f9-fe29-4941-a9d7-c39cba4d49a0' class='xr-section-summary' >Coordinates: <span>(3)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-8c6548e5-a32f-4de8-9c27-eeb75e508d90' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c6548e5-a32f-4de8-9c27-eeb75e508d90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dc96f7a-cf4e-4517-88d2-70c91bb60cb5' class='xr-var-data-in' type='checkbox'><label for='data-4dc96f7a-cf4e-4517-88d2-70c91bb60cb5' 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, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-adebf773-bc81-4a16-ac51-4bae5277473d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-adebf773-bc81-4a16-ac51-4bae5277473d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f76700ae-15a5-408e-9c53-1357316ee7aa' class='xr-var-data-in' type='checkbox'><label for='data-f76700ae-15a5-408e-9c53-1357316ee7aa' 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, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 44 45 46 47 48 49</div><input id='attrs-5d0767a5-3d67-4796-ab46-0f8bfd0a888e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d0767a5-3d67-4796-ab46-0f8bfd0a888e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-210264d5-16a9-4796-8453-ceec74df0897' class='xr-var-data-in' type='checkbox'><label for='data-210264d5-16a9-4796-8453-ceec74df0897' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-164b3d75-0eff-4df2-b692-8afa9e7b666b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-164b3d75-0eff-4df2-b692-8afa9e7b666b' class='xr-section-summary' >Data variables: <span>(2)</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>temperature</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.6357 0.8989 ... 0.7347 0.4043</div><input id='attrs-dea34363-0aba-4fde-b53e-7048710c0c5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dea34363-0aba-4fde-b53e-7048710c0c5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbf1a124-9721-4be3-8246-6c9ff5f70a56' class='xr-var-data-in' type='checkbox'><label for='data-cbf1a124-9721-4be3-8246-6c9ff5f70a56' 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([[[0.63565455, 0.89887518, 0.81646879, ..., 0.78962751,\n",
-       "         0.6614516 , 0.52116413],\n",
-       "        [0.43127692, 0.91873569, 0.22462149, ..., 0.62198077,\n",
-       "         0.19307222, 0.57353738],\n",
-       "        [0.42704762, 0.12995448, 0.95211919, ..., 0.04199263,\n",
-       "         0.97855591, 0.82073587],\n",
-       "        ...,\n",
-       "        [0.51234315, 0.27875474, 0.70777659, ..., 0.8323501 ,\n",
-       "         0.05389681, 0.35300497],\n",
-       "        [0.0878044 , 0.10958909, 0.06338096, ..., 0.9776639 ,\n",
-       "         0.04244528, 0.47115623],\n",
-       "        [0.82056462, 0.26487027, 0.45940871, ..., 0.60839961,\n",
-       "         0.64630264, 0.3806642 ]],\n",
-       "\n",
-       "       [[0.84802505, 0.1145808 , 0.78832276, ..., 0.21859745,\n",
-       "         0.49410021, 0.72855391],\n",
-       "        [0.3328862 , 0.40824109, 0.24351075, ..., 0.59518464,\n",
-       "         0.99079218, 0.15278323],\n",
-       "        [0.98736821, 0.27835847, 0.34764326, ..., 0.21199744,\n",
-       "         0.33017424, 0.18014188],\n",
-       "...\n",
-       "        [0.64513228, 0.95997326, 0.93574633, ..., 0.20225859,\n",
-       "         0.20451669, 0.17821575],\n",
-       "        [0.49258946, 0.58140603, 0.83918436, ..., 0.95578676,\n",
-       "         0.49816906, 0.76993061],\n",
-       "        [0.98449982, 0.53862994, 0.63462726, ..., 0.08967598,\n",
-       "         0.24851078, 0.19866891]],\n",
-       "\n",
-       "       [[0.7464254 , 0.65930254, 0.32258785, ..., 0.44485772,\n",
-       "         0.4781749 , 0.48571647],\n",
-       "        [0.66366199, 0.43927405, 0.75152892, ..., 0.7427711 ,\n",
-       "         0.98302449, 0.94710525],\n",
-       "        [0.94584752, 0.66621029, 0.84733361, ..., 0.1911734 ,\n",
-       "         0.54840679, 0.58593981],\n",
-       "        ...,\n",
-       "        [0.00863211, 0.82926667, 0.42378902, ..., 0.93725128,\n",
-       "         0.38387613, 0.4430049 ],\n",
-       "        [0.74127861, 0.03295644, 0.22819606, ..., 0.62798414,\n",
-       "         0.96604213, 0.20800703],\n",
-       "        [0.05782585, 0.75147235, 0.92902935, ..., 0.42102117,\n",
-       "         0.73473588, 0.40432076]]], shape=(10, 10, 50))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation</span></div><div class='xr-var-dims'>(x, y, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.05915 0.2899 ... 0.1648 0.06016</div><input id='attrs-53d365d0-a559-4c6a-aa14-eb80f3ff2026' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-53d365d0-a559-4c6a-aa14-eb80f3ff2026' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb54ba3a-4441-4437-9785-1e8ffbd4e976' class='xr-var-data-in' type='checkbox'><label for='data-cb54ba3a-4441-4437-9785-1e8ffbd4e976' 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([[[0.05914964, 0.28988801, 0.64750414, ..., 0.08682353,\n",
-       "         0.91395542, 0.77776599],\n",
-       "        [0.01258337, 0.24944056, 0.2953123 , ..., 0.12859035,\n",
-       "         0.48030284, 0.66729221],\n",
-       "        [0.74565651, 0.69746562, 0.27159418, ..., 0.72169112,\n",
-       "         0.34697806, 0.41594107],\n",
-       "        ...,\n",
-       "        [0.51194151, 0.29965223, 0.99007743, ..., 0.54946877,\n",
-       "         0.39794322, 0.14200844],\n",
-       "        [0.19649853, 0.27879333, 0.58421569, ..., 0.96151102,\n",
-       "         0.7242996 , 0.24093129],\n",
-       "        [0.02498301, 0.36891632, 0.86329668, ..., 0.79437823,\n",
-       "         0.94045452, 0.65192752]],\n",
-       "\n",
-       "       [[0.43013735, 0.92817674, 0.07921616, ..., 0.13043865,\n",
-       "         0.33724679, 0.49683084],\n",
-       "        [0.53135874, 0.84170502, 0.0998087 , ..., 0.18336338,\n",
-       "         0.82905684, 0.91827121],\n",
-       "        [0.95776581, 0.49067849, 0.71957675, ..., 0.98148173,\n",
-       "         0.57225563, 0.20675619],\n",
-       "...\n",
-       "        [0.27864433, 0.18746638, 0.14409247, ..., 0.22645355,\n",
-       "         0.58451599, 0.73585107],\n",
-       "        [0.10349763, 0.15298515, 0.69948053, ..., 0.76768489,\n",
-       "         0.41563281, 0.16777153],\n",
-       "        [0.18679984, 0.57728626, 0.04678927, ..., 0.05365911,\n",
-       "         0.16061096, 0.54839559]],\n",
-       "\n",
-       "       [[0.38783092, 0.27216786, 0.96622681, ..., 0.05019342,\n",
-       "         0.15893745, 0.582206  ],\n",
-       "        [0.68966468, 0.8422615 , 0.26745176, ..., 0.01352329,\n",
-       "         0.8734107 , 0.6236444 ],\n",
-       "        [0.68949505, 0.81464641, 0.13347509, ..., 0.4617928 ,\n",
-       "         0.31744073, 0.0448504 ],\n",
-       "        ...,\n",
-       "        [0.58097705, 0.01771976, 0.36932121, ..., 0.84396867,\n",
-       "         0.52316895, 0.60507053],\n",
-       "        [0.05415984, 0.09119594, 0.38483387, ..., 0.72156318,\n",
-       "         0.65670778, 0.59768043],\n",
-       "        [0.41245077, 0.67757972, 0.78567932, ..., 0.31459039,\n",
-       "         0.1647562 , 0.06015959]]], shape=(10, 10, 50))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c18f8ca1-9274-4160-9b92-85bfa6c36f91' class='xr-section-summary-in' type='checkbox'  ><label for='section-c18f8ca1-9274-4160-9b92-85bfa6c36f91' class='xr-section-summary' >Indexes: <span>(3)</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>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-941a8640-152d-44b4-a721-f530dd8a8c33' class='xr-index-data-in' type='checkbox'/><label for='index-941a8640-152d-44b4-a721-f530dd8a8c33' 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, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-8f7da920-3fb2-4fa8-80c5-3407ab88ad63' class='xr-index-data-in' type='checkbox'/><label for='index-8f7da920-3fb2-4fa8-80c5-3407ab88ad63' 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, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-18901a2f-3a52-4109-994c-467e091c8c77' class='xr-index-data-in' type='checkbox'/><label for='index-18901a2f-3a52-4109-994c-467e091c8c77' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae70df22-79c5-4851-bf76-087ef0761b97' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ae70df22-79c5-4851-bf76-087ef0761b97' 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.Dataset> Size: 81kB\n",
-       "Dimensions:        (x: 10, y: 10, time: 50)\n",
-       "Coordinates:\n",
-       "  * x              (x) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "  * y              (y) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
-       "  * time           (time) int64 400B 0 1 2 3 4 5 6 7 ... 42 43 44 45 46 47 48 49\n",
-       "Data variables:\n",
-       "    temperature    (x, y, time) float64 40kB 0.6357 0.8989 ... 0.7347 0.4043\n",
-       "    precipitation  (x, y, time) float64 40kB 0.05915 0.2899 ... 0.1648 0.06016"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "bgen_overlap = xbatcher.BatchGenerator(\n",
     "    ds, \n",
@@ -1911,21 +207,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Batch 1 y-coords: [0 1 2 3 4 5 6 7 8 9], Batch 1 x-coords: [0 1 2 3 4 5 6 7 8 9]\n",
-      "Batch 2 y-coords: [ 8  9 10 11 12 13 14 15 16 17], Batch 2 x-coords: [0 1 2 3 4 5 6 7 8 9]\n",
-      "Batch 3 y-coords: [16 17 18 19 20 21 22 23 24 25], Batch 3 x-coords: [0 1 2 3 4 5 6 7 8 9]\n",
-      "Batch 13 y-coords: [0 1 2 3 4 5 6 7 8 9], Batch 13 x-coords: [ 8  9 10 11 12 13 14 15 16 17]\n",
-      "Batch 14 y-coords: [ 8  9 10 11 12 13 14 15 16 17], Batch 11 x-coords: [ 8  9 10 11 12 13 14 15 16 17]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(f\"Batch 1 y-coords: {bgen_overlap[0].y.values}, Batch 1 x-coords: {bgen_overlap[0].x.values}\")\n",
     "print(f\"Batch 2 y-coords: {bgen_overlap[1].y.values}, Batch 2 x-coords: {bgen_overlap[1].x.values}\")\n",
@@ -1966,18 +250,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(10, 10, 50)"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "bgen[0].temperature.shape\n",
     "bgen[0].precipitation.shape"
@@ -1985,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2011,7 +284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2027,20 +300,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "torch.Size([4, 2, 10, 10, 50])"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "torch_batch = next(iter(dataloader))\n",
     "torch_batch.shape"
diff --git a/notebooks/xbatcher_reconstruction.ipynb b/notebooks/xbatcher_reconstruction.ipynb
index 87ef45fb..f5a34109 100644
--- a/notebooks/xbatcher_reconstruction.ipynb
+++ b/notebooks/xbatcher_reconstruction.ipynb
@@ -33,6 +33,7 @@
     "| Concepts | Importance | Notes |\n",
     "| --- | --- | --- |\n",
     "| [Intro to Xarray](https://tutorial.xarray.dev/overview/xarray-in-45-min.html) | Necessary | Array indexing |\n",
+    "| [Loading Batches from Xarray](https://projectpythia.org/xbatcher-deep-learning/notebooks/xbatcher-dataloading/) | Helpful | PyTorch DataLoader API |\n",
     "| [PyTorch fundamentals](https://docs.pytorch.org/tutorials/beginner/basics/intro.html) | Helpful | Model training loop |"
    ]
   },
@@ -45,18 +46,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import xarray as xr\n",
     "import numpy as np\n",
-    "import torch\n",
     "import xbatcher\n",
     "from xbatcher.loaders.torch import MapDataset\n",
-    "from typing import Literal\n",
     "\n",
-    "from dummy_models import ExpandAlongAxis"
+    "from dummy_models import ExpandAlongAxis\n",
+    "\n",
+    "from functions import predict_on_array"
    ]
   },
   {
@@ -70,520 +71,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "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",
-       "<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",
-       ":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 (x: 50, y: 40)&gt; Size: 8kB\n",
-       "array([[0.94426095, 0.7027894 , 0.02029528, ..., 0.16328041, 0.5883387 ,\n",
-       "        0.8879921 ],\n",
-       "       [0.6830533 , 0.8331848 , 0.44004276, ..., 0.6508039 , 0.8455495 ,\n",
-       "        0.66443324],\n",
-       "       [0.36509654, 0.9623709 , 0.44621307, ..., 0.66530186, 0.31605566,\n",
-       "        0.9226282 ],\n",
-       "       ...,\n",
-       "       [0.2908776 , 0.3381197 , 0.7494014 , ..., 0.19071114, 0.10994843,\n",
-       "        0.17150152],\n",
-       "       [0.6378889 , 0.95425236, 0.51718473, ..., 0.52702767, 0.9290716 ,\n",
-       "        0.819217  ],\n",
-       "       [0.59220934, 0.6537968 , 0.06189981, ..., 0.75576884, 0.0942427 ,\n",
-       "        0.36704108]], shape=(50, 40), dtype=float32)\n",
-       "Coordinates:\n",
-       "  * x        (x) int64 400B 0 1 2 3 4 5 6 7 8 9 ... 41 42 43 44 45 46 47 48 49\n",
-       "  * y        (y) int64 320B 0 1 2 3 4 5 6 7 8 9 ... 31 32 33 34 35 36 37 38 39</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 50</li><li><span class='xr-has-index'>y</span>: 40</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-caab9e04-65ed-43bd-bd2f-e1b90d78ca48' class='xr-array-in' type='checkbox' checked><label for='section-caab9e04-65ed-43bd-bd2f-e1b90d78ca48' 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>0.9443 0.7028 0.0203 0.5112 0.9855 ... 0.3735 0.7558 0.09424 0.367</span></div><div class='xr-array-data'><pre>array([[0.94426095, 0.7027894 , 0.02029528, ..., 0.16328041, 0.5883387 ,\n",
-       "        0.8879921 ],\n",
-       "       [0.6830533 , 0.8331848 , 0.44004276, ..., 0.6508039 , 0.8455495 ,\n",
-       "        0.66443324],\n",
-       "       [0.36509654, 0.9623709 , 0.44621307, ..., 0.66530186, 0.31605566,\n",
-       "        0.9226282 ],\n",
-       "       ...,\n",
-       "       [0.2908776 , 0.3381197 , 0.7494014 , ..., 0.19071114, 0.10994843,\n",
-       "        0.17150152],\n",
-       "       [0.6378889 , 0.95425236, 0.51718473, ..., 0.52702767, 0.9290716 ,\n",
-       "        0.819217  ],\n",
-       "       [0.59220934, 0.6537968 , 0.06189981, ..., 0.75576884, 0.0942427 ,\n",
-       "        0.36704108]], shape=(50, 40), dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e9ebde4d-c493-4194-8dce-7304751fa670' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9ebde4d-c493-4194-8dce-7304751fa670' class='xr-section-summary' >Coordinates: <span>(2)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 44 45 46 47 48 49</div><input id='attrs-151b56ee-cd52-4e23-bdfc-ffaa4187d3cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-151b56ee-cd52-4e23-bdfc-ffaa4187d3cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5efa17d7-9589-43e4-ad9f-ad0044ec9604' class='xr-var-data-in' type='checkbox'><label for='data-5efa17d7-9589-43e4-ad9f-ad0044ec9604' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 34 35 36 37 38 39</div><input id='attrs-5e688708-3b62-4dd6-ab8a-2fc7548ed20d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e688708-3b62-4dd6-ab8a-2fc7548ed20d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6f9a508-5b8f-4614-a619-0c7915c76cc3' class='xr-var-data-in' type='checkbox'><label for='data-c6f9a508-5b8f-4614-a619-0c7915c76cc3' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aeb6ec4e-9a1d-4784-be93-b4a5742d82d1' class='xr-section-summary-in' type='checkbox'  ><label for='section-aeb6ec4e-9a1d-4784-be93-b4a5742d82d1' class='xr-section-summary' >Indexes: <span>(2)</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>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-3011dd00-0525-433c-9347-4066935d02a2' class='xr-index-data-in' type='checkbox'/><label for='index-3011dd00-0525-433c-9347-4066935d02a2' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-383133a9-b8f0-4d4b-93ba-7f8abc80918b' class='xr-index-data-in' type='checkbox'/><label for='index-383133a9-b8f0-4d4b-93ba-7f8abc80918b' 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,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
-       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
-       "       36, 37, 38, 39],\n",
-       "      dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe466bdb-e94e-401e-80b4-de864b4151e5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe466bdb-e94e-401e-80b4-de864b4151e5' 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 (x: 50, y: 40)> Size: 8kB\n",
-       "array([[0.94426095, 0.7027894 , 0.02029528, ..., 0.16328041, 0.5883387 ,\n",
-       "        0.8879921 ],\n",
-       "       [0.6830533 , 0.8331848 , 0.44004276, ..., 0.6508039 , 0.8455495 ,\n",
-       "        0.66443324],\n",
-       "       [0.36509654, 0.9623709 , 0.44621307, ..., 0.66530186, 0.31605566,\n",
-       "        0.9226282 ],\n",
-       "       ...,\n",
-       "       [0.2908776 , 0.3381197 , 0.7494014 , ..., 0.19071114, 0.10994843,\n",
-       "        0.17150152],\n",
-       "       [0.6378889 , 0.95425236, 0.51718473, ..., 0.52702767, 0.9290716 ,\n",
-       "        0.819217  ],\n",
-       "       [0.59220934, 0.6537968 , 0.06189981, ..., 0.75576884, 0.0942427 ,\n",
-       "        0.36704108]], shape=(50, 40), dtype=float32)\n",
-       "Coordinates:\n",
-       "  * x        (x) int64 400B 0 1 2 3 4 5 6 7 8 9 ... 41 42 43 44 45 46 47 48 49\n",
-       "  * y        (y) int64 320B 0 1 2 3 4 5 6 7 8 9 ... 31 32 33 34 35 36 37 38 39"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "da = xr.DataArray(\n",
     "    data=np.random.rand(50, 40).astype(np.float32),\n",
@@ -602,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -618,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -626,247 +116,6 @@
     "model = ExpandAlongAxis(ax=1, n_repeats=2)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## The `predict_on_array` Function\n",
-    "\n",
-    "The `predict_on_array` function (from `functions.py`) is designed to take batches from a `BatchGenerator`, pass them through a model, and reassemble the outputs. The following sections will break down this function and its helpers."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def _get_resample_factor(\n",
-    "    bgen: xbatcher.BatchGenerator,\n",
-    "    output_tensor_dim: dict[str, int],\n",
-    "    resample_dim: list[str]\n",
-    "):\n",
-    "    resample_factor = {}\n",
-    "    for dim in resample_dim:\n",
-    "        r = output_tensor_dim[dim] / bgen.input_dims[dim]\n",
-    "        is_int = (r == int(r))\n",
-    "        is_inv_int = (1/r == int(1/r)) if r != 0 else False\n",
-    "        assert is_int or is_inv_int, f\"Resample ratio for dim '{dim}' must be an integer or its inverse.\"\n",
-    "        resample_factor[dim] = r\n",
-    "\n",
-    "    return resample_factor"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### `_get_resample_factor`\n",
-    "\n",
-    "This helper function calculates the resampling factor for each dimension. For example, if input batches have `x=10` and the model outputs tensors with `x=20`, the resampling factor for `x` is 2. This is used to determine the dimensions of the final reconstructed array."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def _get_output_array_size(\n",
-    "    bgen: xbatcher.BatchGenerator,\n",
-    "    output_tensor_dim: dict[str, int],\n",
-    "    new_dim: list[str],\n",
-    "    core_dim: list[str],\n",
-    "    resample_dim: list[str]\n",
-    "):\n",
-    "    resample_factor = _get_resample_factor(bgen, output_tensor_dim, resample_dim)\n",
-    "    output_size = {}\n",
-    "    for key, size in output_tensor_dim.items():\n",
-    "        if key in new_dim:\n",
-    "            output_size[key] = output_tensor_dim[key]\n",
-    "        elif key in core_dim:\n",
-    "            if output_tensor_dim[key] != bgen.ds.sizes[key]:\n",
-    "                raise ValueError(\n",
-    "                    f\"Axis {key} is a core dim, but the tensor size\"\n",
-    "                    f\"({output_tensor_dim[key]}) does not equal the \"\n",
-    "                    f\"source data array size ({bgen.ds.sizes[key]}).\"\n",
-    "                )\n",
-    "            output_size[key] = bgen.ds.sizes[key]\n",
-    "        elif key in resample_dim:\n",
-    "            temp_output_size = bgen.ds.sizes[key] * resample_factor[key]\n",
-    "            assert temp_output_size.is_integer(), f\"Resampling for dim '{key}' results in non-integer size.\"\n",
-    "            output_size[key] = int(temp_output_size)\n",
-    "        else:\n",
-    "            raise ValueError(f\"Axis {key} must be specified in one of new_dim, core_dim, or resample_dim\") \n",
-    "    return output_size"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### `_get_output_array_size`\n",
-    "\n",
-    "This function determines the final size of the reconstructed array. It uses the resampling factor and also considers `new_dim` (dimensions that are new in the output) and `core_dim` (dimensions that are not batched over and remain unchanged)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def _resample_coordinate(\n",
-    "    coord: xr.DataArray,\n",
-    "    factor: float,\n",
-    "    mode: Literal[\"centers\", \"edges\"]=\"edges\"\n",
-    ") -> np.ndarray:\n",
-    "    assert len(coord.shape) == 1 and coord.shape[0] > 1\n",
-    "    assert (coord.shape[0] * factor).is_integer()\n",
-    "    old_step = (coord.data[1] - coord.data[0])\n",
-    "    offset = 0 if mode == \"edges\" else old_step / 2\n",
-    "    new_step = old_step / factor\n",
-    "    coord = coord - offset\n",
-    "    new_coord_end = coord.max().item() + old_step\n",
-    "    return np.arange(coord.min().item(), new_coord_end, step=new_step) + offset"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### `_resample_coordinate`\n",
-    "\n",
-    "If the size of a dimension is changed, its coordinates must also be updated. This function handles the resampling of coordinates."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def _get_output_array_coordinates(\n",
-    "    src_da: xr.DataArray,\n",
-    "    output_array_dim: list[str],\n",
-    "    resample_factor: dict[str, int],\n",
-    "    resample_mode: Literal[\"centers\", \"edges\"]=\"edges\"\n",
-    ") -> dict[str, np.ndarray]:\n",
-    "    output_coords = {}\n",
-    "    for dim in output_array_dim:\n",
-    "        if dim in src_da.coords and dim in resample_factor:\n",
-    "            output_coords[dim] = _resample_coordinate(src_da[dim], resample_factor[dim], resample_mode)\n",
-    "        elif dim in src_da.coords:\n",
-    "            output_coords[dim] = src_da[dim].copy(deep=True).data\n",
-    "        else:\n",
-    "            continue\n",
-    "    return output_coords"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### `_get_output_array_coordinates`\n",
-    "\n",
-    "This function generates a dictionary of the new coordinates for the output array."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def predict_on_array(\n",
-    "    dataset: MapDataset,\n",
-    "    model: torch.nn.Module,\n",
-    "    output_tensor_dim: dict[str, int],\n",
-    "    new_dim: list[str],\n",
-    "    core_dim: list[str],\n",
-    "    resample_dim: list[str],\n",
-    "    resample_mode: Literal[\"centers\", \"edges\"]=\"edges\",\n",
-    "    batch_size: int=16\n",
-    ") -> xr.DataArray:\n",
-    "    s_new = set(new_dim)\n",
-    "    s_core = set(core_dim)\n",
-    "    s_resample = set(resample_dim)\n",
-    "\n",
-    "    if s_new & s_core or s_new & s_resample or s_core & s_resample:\n",
-    "        raise ValueError(\"new_dim, core_dim, and resample_dim must be disjoint sets.\")\n",
-    "\n",
-    "    bgen = dataset.X_generator\n",
-    "\n",
-    "    resample_factor = _get_resample_factor(\n",
-    "        bgen,\n",
-    "        output_tensor_dim, \n",
-    "        resample_dim\n",
-    "    )\n",
-    "    \n",
-    "    output_size = _get_output_array_size(\n",
-    "        bgen,\n",
-    "        output_tensor_dim,\n",
-    "        new_dim,\n",
-    "        core_dim,\n",
-    "        resample_dim\n",
-    "    )\n",
-    "            \n",
-    "    output_da = xr.DataArray(\n",
-    "        data=np.zeros(tuple(output_size.values())),\n",
-    "        dims=tuple(output_size.keys()),\n",
-    "    )\n",
-    "    output_n = xr.full_like(output_da, 0)\n",
-    "    \n",
-    "    loader = torch.utils.data.DataLoader(dataset, batch_size=batch_size)\n",
-    "\n",
-    "    for i, batch in enumerate(loader):\n",
-    "        input_tensor = batch[0] if isinstance(batch, (list, tuple)) else batch\n",
-    "        out_batch = model(input_tensor).detach().numpy()\n",
-    "\n",
-    "        for ib in range(out_batch.shape[0]):\n",
-    "            global_index = (i * batch_size) + ib\n",
-    "            old_indexer = bgen._batch_selectors.selectors[global_index][0]\n",
-    "            new_indexer = {}\n",
-    "            for key in old_indexer:\n",
-    "                if key in resample_dim:\n",
-    "                    new_indexer[key] = slice(\n",
-    "                        int(old_indexer[key].start * resample_factor[key]),\n",
-    "                        int(old_indexer[key].stop * resample_factor[key])\n",
-    "                    )\n",
-    "\n",
-    "            output_da.loc[new_indexer] += out_batch[ib, ...]\n",
-    "            output_n.loc[new_indexer] += 1\n",
-    "\n",
-    "    output_da = output_da / output_n\n",
-    "\n",
-    "    output_da = output_da.assign_coords(\n",
-    "        _get_output_array_coordinates(\n",
-    "            dataset.X_generator.ds, \n",
-    "            list(output_tensor_dim.keys()), \n",
-    "            resample_factor, \n",
-    "            resample_mode\n",
-    "        )\n",
-    "    )\n",
-    "\n",
-    "    return output_da"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### `predict_on_array` Internals\n",
-    "\n",
-    "The key steps of this function are as follows:\n",
-    "\n",
-    "1.  **Initialization**: An empty `DataArray` (`output_da`) is created with the final dimensions, along with a corresponding `DataArray` (`output_n`) to track the number of predictions for each element (for averaging in case of overlaps).\n",
-    "2.  **Iteration**: The function iterates through the `DataLoader`.\n",
-    "3.  **The Internal API**: The core of the reconstruction is `bgen._batch_selectors.selectors[global_index]`. This internal attribute of the `BatchGenerator` stores the slice objects for each batch, providing a map from the batch to the original `DataArray`'s coordinate space.\n",
-    "4.  **Disclaimer**: Accessing internal attributes such as `_batch_selectors` is not part of the public API and may change in future versions of `xbatcher`.\n",
-    "5.  **Rescaling and Placing**: The resampling factor is used to scale the slices, and `.loc` is used to place the model's output into the correct location in `output_da`.\n",
-    "6.  **Averaging and Coordinates**: Finally, the predictions are averaged (if there were overlaps) and the new coordinates are assigned."
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -893,533 +142,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "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",
-       "<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",
-       ":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 (x: 100, y: 40)&gt; Size: 32kB\n",
-       "array([[0.94426095, 0.70278943, 0.02029528, ..., 0.16328041, 0.58833867,\n",
-       "        0.88799208],\n",
-       "       [0.94426095, 0.70278943, 0.02029528, ..., 0.16328041, 0.58833867,\n",
-       "        0.88799208],\n",
-       "       [0.68305331, 0.83318478, 0.44004276, ..., 0.65080392, 0.84554952,\n",
-       "        0.66443324],\n",
-       "       ...,\n",
-       "       [0.63788891, 0.95425236, 0.51718473, ..., 0.52702767, 0.92907161,\n",
-       "        0.81921703],\n",
-       "       [0.59220934, 0.65379679, 0.06189981, ..., 0.75576884, 0.0942427 ,\n",
-       "        0.36704108],\n",
-       "       [0.59220934, 0.65379679, 0.06189981, ..., 0.75576884, 0.0942427 ,\n",
-       "        0.36704108]], shape=(100, 40))\n",
-       "Coordinates:\n",
-       "  * x        (x) float64 800B 0.0 0.5 1.0 1.5 2.0 ... 47.5 48.0 48.5 49.0 49.5\n",
-       "  * y        (y) float64 320B 0.0 1.0 2.0 3.0 4.0 ... 35.0 36.0 37.0 38.0 39.0</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 100</li><li><span class='xr-has-index'>y</span>: 40</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6a1ba5be-d547-4595-8493-6a5f1227ebbb' class='xr-array-in' type='checkbox' checked><label for='section-6a1ba5be-d547-4595-8493-6a5f1227ebbb' 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>0.9443 0.7028 0.0203 0.5112 0.9855 ... 0.3735 0.7558 0.09424 0.367</span></div><div class='xr-array-data'><pre>array([[0.94426095, 0.70278943, 0.02029528, ..., 0.16328041, 0.58833867,\n",
-       "        0.88799208],\n",
-       "       [0.94426095, 0.70278943, 0.02029528, ..., 0.16328041, 0.58833867,\n",
-       "        0.88799208],\n",
-       "       [0.68305331, 0.83318478, 0.44004276, ..., 0.65080392, 0.84554952,\n",
-       "        0.66443324],\n",
-       "       ...,\n",
-       "       [0.63788891, 0.95425236, 0.51718473, ..., 0.52702767, 0.92907161,\n",
-       "        0.81921703],\n",
-       "       [0.59220934, 0.65379679, 0.06189981, ..., 0.75576884, 0.0942427 ,\n",
-       "        0.36704108],\n",
-       "       [0.59220934, 0.65379679, 0.06189981, ..., 0.75576884, 0.0942427 ,\n",
-       "        0.36704108]], shape=(100, 40))</pre></div></div></li><li class='xr-section-item'><input id='section-80d9b674-02b7-41b9-b9c0-53ae7476970e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80d9b674-02b7-41b9-b9c0-53ae7476970e' class='xr-section-summary' >Coordinates: <span>(2)</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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.5 1.0 1.5 ... 48.5 49.0 49.5</div><input id='attrs-837017ef-d509-4188-ad03-6584499738bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-837017ef-d509-4188-ad03-6584499738bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffd99cbe-edf5-4d0f-b96f-14cd2d9415fd' class='xr-var-data-in' type='checkbox'><label for='data-ffd99cbe-edf5-4d0f-b96f-14cd2d9415fd' 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. ,  0.5,  1. ,  1.5,  2. ,  2.5,  3. ,  3.5,  4. ,  4.5,  5. ,  5.5,\n",
-       "        6. ,  6.5,  7. ,  7.5,  8. ,  8.5,  9. ,  9.5, 10. , 10.5, 11. , 11.5,\n",
-       "       12. , 12.5, 13. , 13.5, 14. , 14.5, 15. , 15.5, 16. , 16.5, 17. , 17.5,\n",
-       "       18. , 18.5, 19. , 19.5, 20. , 20.5, 21. , 21.5, 22. , 22.5, 23. , 23.5,\n",
-       "       24. , 24.5, 25. , 25.5, 26. , 26.5, 27. , 27.5, 28. , 28.5, 29. , 29.5,\n",
-       "       30. , 30.5, 31. , 31.5, 32. , 32.5, 33. , 33.5, 34. , 34.5, 35. , 35.5,\n",
-       "       36. , 36.5, 37. , 37.5, 38. , 38.5, 39. , 39.5, 40. , 40.5, 41. , 41.5,\n",
-       "       42. , 42.5, 43. , 43.5, 44. , 44.5, 45. , 45.5, 46. , 46.5, 47. , 47.5,\n",
-       "       48. , 48.5, 49. , 49.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 37.0 38.0 39.0</div><input id='attrs-9be7b674-e691-45cd-8542-559ecddc227b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9be7b674-e691-45cd-8542-559ecddc227b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e53cd559-ec8d-4f3b-8288-4971d3f89ef6' class='xr-var-data-in' type='checkbox'><label for='data-e53cd559-ec8d-4f3b-8288-4971d3f89ef6' 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.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
-       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
-       "       28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-24bbf0d1-2b8d-41f0-855c-1211c2e97c20' class='xr-section-summary-in' type='checkbox'  ><label for='section-24bbf0d1-2b8d-41f0-855c-1211c2e97c20' class='xr-section-summary' >Indexes: <span>(2)</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>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1e154b89-e069-4046-9356-e9f8f9ac3391' class='xr-index-data-in' type='checkbox'/><label for='index-1e154b89-e069-4046-9356-e9f8f9ac3391' 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([ 0.0,  0.5,  1.0,  1.5,  2.0,  2.5,  3.0,  3.5,  4.0,  4.5,  5.0,  5.5,\n",
-       "        6.0,  6.5,  7.0,  7.5,  8.0,  8.5,  9.0,  9.5, 10.0, 10.5, 11.0, 11.5,\n",
-       "       12.0, 12.5, 13.0, 13.5, 14.0, 14.5, 15.0, 15.5, 16.0, 16.5, 17.0, 17.5,\n",
-       "       18.0, 18.5, 19.0, 19.5, 20.0, 20.5, 21.0, 21.5, 22.0, 22.5, 23.0, 23.5,\n",
-       "       24.0, 24.5, 25.0, 25.5, 26.0, 26.5, 27.0, 27.5, 28.0, 28.5, 29.0, 29.5,\n",
-       "       30.0, 30.5, 31.0, 31.5, 32.0, 32.5, 33.0, 33.5, 34.0, 34.5, 35.0, 35.5,\n",
-       "       36.0, 36.5, 37.0, 37.5, 38.0, 38.5, 39.0, 39.5, 40.0, 40.5, 41.0, 41.5,\n",
-       "       42.0, 42.5, 43.0, 43.5, 44.0, 44.5, 45.0, 45.5, 46.0, 46.5, 47.0, 47.5,\n",
-       "       48.0, 48.5, 49.0, 49.5],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-38aa4ed8-15f1-419c-8220-13b957bfa33d' class='xr-index-data-in' type='checkbox'/><label for='index-38aa4ed8-15f1-419c-8220-13b957bfa33d' 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([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
-       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
-       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0,\n",
-       "       36.0, 37.0, 38.0, 39.0],\n",
-       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07fa6aa5-a0e1-4b54-b0da-aab26089855a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-07fa6aa5-a0e1-4b54-b0da-aab26089855a' 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 (x: 100, y: 40)> Size: 32kB\n",
-       "array([[0.94426095, 0.70278943, 0.02029528, ..., 0.16328041, 0.58833867,\n",
-       "        0.88799208],\n",
-       "       [0.94426095, 0.70278943, 0.02029528, ..., 0.16328041, 0.58833867,\n",
-       "        0.88799208],\n",
-       "       [0.68305331, 0.83318478, 0.44004276, ..., 0.65080392, 0.84554952,\n",
-       "        0.66443324],\n",
-       "       ...,\n",
-       "       [0.63788891, 0.95425236, 0.51718473, ..., 0.52702767, 0.92907161,\n",
-       "        0.81921703],\n",
-       "       [0.59220934, 0.65379679, 0.06189981, ..., 0.75576884, 0.0942427 ,\n",
-       "        0.36704108],\n",
-       "       [0.59220934, 0.65379679, 0.06189981, ..., 0.75576884, 0.0942427 ,\n",
-       "        0.36704108]], shape=(100, 40))\n",
-       "Coordinates:\n",
-       "  * x        (x) float64 800B 0.0 0.5 1.0 1.5 2.0 ... 47.5 48.0 48.5 49.0 49.5\n",
-       "  * y        (y) float64 320B 0.0 1.0 2.0 3.0 4.0 ... 35.0 36.0 37.0 38.0 39.0"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "map_dataset = MapDataset(bgen)\n",
     "reconstructed_da = predict_on_array(\n",
@@ -1429,7 +154,8 @@
     "    new_dim=[],\n",
     "    core_dim=[],\n",
     "    resample_dim=[\"x\", \"y\"],\n",
-    "    batch_size=4\n",
+    "    batch_size=4,\n",
+    "    progress_bar=False\n",
     ")\n",
     "reconstructed_da"
    ]
@@ -1443,18 +169,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Original shape: (50, 40)\n",
-      "Reconstructed shape: (100, 40)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(f\"Original shape: {da.shape}\")\n",
     "print(f\"Reconstructed shape: {reconstructed_da.shape}\")"
@@ -1464,7 +181,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The reconstructed array has twice the number of elements in the `x` dimension, as expected. This concludes the demonstration of reconstructing an `xarray.Dataset` from model outputs using `xbatcher`."
+    "The reconstructed array has twice the number of elements in the `x` dimension, as expected."
    ]
   }
  ],