diff --git a/notebooks/source/bayesian_regression.ipynb b/notebooks/source/bayesian_regression.ipynb
index b3d2ce985..438a0fae2 100644
--- a/notebooks/source/bayesian_regression.ipynb
+++ b/notebooks/source/bayesian_regression.ipynb
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -1082,7 +1082,7 @@
        "49               0        0.000000  "
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1102,12 +1102,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1080x1080 with 42 Axes>"
       ]
@@ -1134,12 +1134,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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MqXT1MPPrj9l/zah9sxb40+l02Aq+EF+1ePVlZrRMB03TRjvEBU/iidl6YxXfYGifK6lLHv/9T1Zw98UtbNQMrOYTuO38Gdx09dHUrHK5jLm5uRAMgyG+ajnO13LcCVdN09FiKcNWvYJUNhe2hmfENxjaN6d1yOO//8kK7vrCJew2TeSTEew2Tdz1hUu4/8nKkWMXFxdDMAyO+KpllG/bcrDT2M+/1yHoA0Bmbj5sBV+IbzC0D/w6lGW+++IW4hFCKh4Bkfs9HiHcfXHryLG1Wi0Ew+CIr1oGfZkZDcPGZs3AdsNAy7JDNBuO0WyGreAL8Q1G+M3pY9Ah8G/UDOSTB98jkzHCRu3oIhu6L7xxGPFVi2EYnsoh64Jlzdb9Fd9gaN/i1yGPfzWfQMc6+A/bsRir+aOV9k5jnvk0mSXflmkjWVjCuodyyLqgS565V8Q3GNoHfh3y+G87fwamw2ibDpjd76bDuO38mSPHnqY88zDQ3dd2GNX2fnXM0pbevofRJc/cK+IbDO0Dvw7pnDddXcBbXnoVFjJx1DoOFjJxvOWlVw3N6rlc0w11QUdfNxXT7g/WVjv71THjST3S97wivmrRxVf7Pv5xBdymyU1XF4YG+sPIQiFq0cnXtB00DBst0xk5ySoaC7+r0g/iqxZdfMNvTh+DbeuX+TCOSuVoiqfOiK8/nG5mzlbdwGbdQN2wx86sbTdmKwtJfNWii6/2gX+zaeOt9zw2NGdeR5aWhi4kpi3i642O5da9X6+6dXO8VsfMFmZr/QDxVYsuvtoH/mQEYydM6UbYLVK/iO9oegO1G7UOSg0DTdP/Qiftuh4tPK+Ir1p08dU+8BN47IQp3dAhC8kP4nuQ3kDtdsPAeneg9iRVMW1bj5IjXhFftejiq/3gbofd96ZRE6Z0Y5byzAHx7dEbqJ10zRxd8ra9Ir5q0cVX+xZ/kty+1FETpoZx/5MVvPWex/CGjzw89fEB3fPMD3OafYcN1E56kpUuedteEV+16OKrfYvfZho7YeowvYJq8QgdKKj2lpfCUzrmSclmj1/vUidU+nqtaOqHSfh2rF4apn3CpcmPJ5HKKH6GySK+atHFV/sWv80YO2HqMH4KqqkgGo1O5XkmhSpfPxVN/RDUd/hArXp0mIDoB/FViy6+2rf4lzNR3Pmdz/F8vJ+CaiqoVqsoFr2lbKloEfvFj68fBt+AASAVJ8B0cPfFrRNdox9fZka727oPa3GTdrOOdH66f9OTIL5q0cXX89sPESWJ6LeJ6B+JqNLd9gNE9BZ1ev6LtPkpqKaC5WVvgzeqWsR+8errl42agWTs4KzrSbwBe/E1bQd7LRPrNQM7TTPUFa1y87O1foD4qkUXXz+fO34fwHUA/iXQ/5T8MIA3T1pqkK1qy9cArZ+CairY3d31dFzYXVI9vPr6RdUb8CjfaQzUBqFZ3QtbwRfiqxZdfP0E/tcC+HFm/lsADgAw81MArlQh1iNC/iZw+SmopgL2GGxUtYj94tXXL6regA/7Wg67rXufM2qnhar7qwrxVYsuvn76+I3DxxPRMoCdiRodflKOuP3EPvqHvRZUU4HXrpPVfAK7TdPt++4yzS6pHqq6etw3YEx8DKPn27Ec1Du2lqtYDZKdXwhbwRfiqxZdfP20+O8G8H4iuhYAiOgsgLsAfESFWI9EN49/ViZwbW5uejou7C6pHl59g3DT1QXc+arn4AOvewHufNVzThz0mRmXnt7AVt1ASdOlCw9TL2+HreAL8VWLLr5+Av+vAHgCwNcBzAN4DMDTAH5z8lr72HBbxGG0hoOQy+U8HRd2l1QPr75hsp+KacCJp7TrzhlHMj1b8zrEVy26+Hru6mFmA8AvAPiFbhfPNk+jw4oRWmtYNWF2Sc0CLdNG03DQtqaTcy8IpwU/6ZxvJKLzAMDMJWZmIrqeiN6gTg+IEIfWGg5CvV4PW8EXuvkeXrqwdSjod1qN0NyCIL5qEd9g+Bnc/S0ALzy07UkAHwfwgYkZHWI5n8ad3+F9AlfYrKyshK3gCx18/Uy0yhVna/0A8VWL+B6ll9Y8rlPJT+CfA1A9tK0Ct79/LET0XgA/BGCLma/rbrsTwA/DzRZ6HMC/YuYjSa6WpUcZU6+USiVcffXVYWt4Jkxf23Fz7xvHrGI1SGNvF/Nnzio2mxziq5bT6MvdOSubdbM/b2X/u4mG4SY9vPOG0Y/hJ/A/AuCfA/jTgW2vBfAND+e+D24G0B8NbPsMgLczs0VEvwPg7QB+2YePluiyRrBXwvBtWw4aAVMx5f6qRXzV4tWXmVE3bGwNBPfN2n6Ab5onS3DwE/h/GcAniejH4LbQnw3gAoBXHnciM99HRNcc2vbpgV+/COBHhwrGtC8ndICFBT3ydL0yLV+HGS3TQe2EC5tk5o79gKkV4quWWfZlZtR6s81rxoEgv3WC4J6IEs7kEgDaI4/xE1W/AOAFcEs2XA3gfgA/z8xPBrI7yE8A+JNhO2ZthahSqYRz586FreEZ1b6Ww6h3LDQMx/eyhcOo7+2guKJ0svhEEV+16O7LzKh17H4wX9vcQZVT/d9bJwzuZ3IJrOQSWMnF+7/Pp2OIEGHr8UdGnu8p8BNRFEAdwDwzvzOQ6ejHfgcAC8CHhu3f29vDzTffjFgsBtu2ceutt+KOO+7AxsYGstksotEoqtUqlpeXsbu7C2bG8vIyNjc3+znq9XodKysrKJVKICIsLCygVCphbm4Otm2j0WhgdXUVGxsbiMfjKBQK2N7eRqFQgGEYaLVa/f2JRAL5fB47OzsoFototVpot9v9/bZto1qtolwuY3FxEbVaDYZh9Pen02kkEglUKhUsLS2hUqnANM3+/mlfU7vdxvr6+thrSqVSSKfTvq6p1TGQKS5he2sTiVQGkUgE7WYduflFNKt7YGZk5xdQL2/3c5s7rQZyxSU09nZBRMjMzaO+t4NUJgfHcWC0m4gnUihvPoVoNIZULo9GpYxUNg/bMmF22sgvLKO2W0IslkAik0Gzuod0rgDTaMMyOvv7E0nEEym06hVk5uZhNJuwLKO/P55MIRqLo92oIVsool2vwbat/n6v12R1OjCNzthr6j2mDtdERChvPnXiv9O0rokdB6169cR/p5Nck2Ua2K230IzP4Vubu9jtEHYNwkatjZ02o20dbvB4m4iaiABncnEsJoHFFOGqxQJyTgNn57MopmOuc/+a2sjOZ1Avb6FtHT9XgLym4hPR1wC8gpmf9nTC0fOvAfCJ3uBud9ubAPwMgAvM3Bx23uc+9zm+7rrrhu3Sku3tbSwtzU6mwSR9e4XS6oYN+wTdOeNoVMrIFiZfRloV4quWafkyMyptqz+genBQ1UQnYAXYZCzSb62vDLTgz+TiKKRiJxrD2Hr8kQcuXLhw47B9frp6PgTgE0T0BwAuYb9CJ5j5f/qVIqJb4I4bfPeooA8Atq3/tPxBGo3GTAX+Sfiatls3p2lOpjtnHEa7OVOBSXzVMknfw8G9H9i7g6odO9hrOxWL9IP5HHVwbnWxH+DnktFQBqj9BP5e+eVfP7SdATxz3IlE9GEA3wNgiYguAfg1uFk8SQCf6V74F5n5Zw6f67cef9icpsXL25aDeseaar17XRar9or4qsWvr9MN7r2AfjjIGwGDezoWwZn8fmt9ZaAFnx8I7pZpIBYPv/SMn5IN1wZ9EmZ+/ZDN7/Fy7nGDuzqsYjXIxsbGTA3uBvFtGjZqHRumM/2aObXdktaDeYcRX7UM83WYsdey+sF8q24O/HyC4B6P9IP5geCeTyCf8NZy1+X++sqVJKIYgJfCrcF/CcDfMrPSGVbjbmbYC6sPY9Y+ofjxbRj2idMxT0o0OlvpveKrBocZ5ZaFf6oy6vXygQlMW3UDZsDXaKYb3FfyiQNZM2dyceQ8Bvdx6HJ/PVsQ0fMA/CWANNxSDVcDaBPRDzOzl0lcgRi3uLaqdV1PQqGgfz2hQY7zZWY0J5B/PylSuXzYCr4Q3+A4zNhtWkNmp7oBfv/1WPP1uNlE9ED6Y39QNZ9ALjE63kyCadzfi+s1fOrRXfzgIr591DF+3n7+E4D/AuB3e1U5iegXu9u/90SmYxhXsiHshdWHsb29jWxWj9KrXtje3sbDu9aR7rIXXzWHpumg2rGUZegEoVEpI5HKhK3hGfEdjxvczaEDqqWGGbixkUtE97tj8gksZ/db8aqD+zhU39+L6zV88CubiBEQIYwMnn4C/wsBfP+hUsz/AcA7gkp6YVyLX5dVrAaZtRb/uhHDf3pwv7tsp2HgD//mSfzLF63i21f1q9WfyurTIvWC+LrBfadpDp2hetLgvpyJYLWQOZISmQ0xuI9D9evhU4/uIkZAMj6+8LKfwP80gO8GMJi6+bLudmWMm2dw2/kzuOsLlwDTQTJG6Fgcet1+w9B/lbBBvvhPO4hHYkjECDYD0Sgh4jD+29/vaBn4bWu2ZnKfFl/bGQjuhwZUS3UDAcdTkU9GB2anun3tvd8ziSjqezvIzS8Ge/AQUP16KDVMZBPHj0P4Cfy/AuDjRPQJAGsAzgF4FYDbAxl6xBmTOaJqXdeT0Gq1QntuvzAz2OwgQrEDra5EjFBq6BmwzM7o+iM6cjn52g5juzkwgam2P4FpuxE8uM/1gnv+4GDqmVwCmfj4lvvldH8nwXI2jr2WiWR8fPD3k875cSK6AcC/AHAFgIcA/Cozf/NEpsdwXNaJbqtYzUIevzVQDnndzqJjOQc+GhoWYzmrZ3bS5Z5nHjbp+aVufvvRAdWdhhk4uBdSUazkElge0npPHxPcxzFr91e17y3PXcAHv7IJHFMDyE9WzwuZ+asA/t1J5fwwa0XadM3jH7XYyQ9eSXjPNwGYDhIxgmExLHZfQDqiSx60V3T0tRzGduNgd0yv9b7dMBF0dsZ8Kraf455PDOS8J5CK+Vne2zs63t9xqPY9fzaP2+H29TtsjIzvfrp6PkNEJQB/DOBDzPxPJ5X0QiSi5gWjikRiMgPLk5qY1mvdN0csdnJFMYfbX5TCpx7dRalhYjkbxy3PXcD5s3oOSsZi4c969ENYvpbDKDX2B1MHJzBtN8zAhTWGBfdegE8qCu7jkNfDUc6fzeP82Ty2Hn/k6yM9fDzeKoBbALwewNeI6GG4bwJ/wsxbJ1MdTZDAH+Zs3nzeX8Ac5grgxBPTWqbtaSnDRCaD84tZbQP9YRKZ2UmNBNT6mraD7YZ5oFhYr2tm5wTBvZiOHSkYdibE4D4OeT0Ew08fvw3gHgD3EFEawKvh1u/5Xbg1d5Tgd+nFsGfz7uzs9EsnH8co13Q8EmhiWn8pQ9N7dcxmda9fmnYWOG2+pu1gq2Ee6I7pteB3mxMM7nk35z3e2MbKFVcF9p02p+31MCl8zx8mohTc9XN/DMCNAD43aalBtpo23nrPYzh/NouL641jW/Fhz+YtFr1XChzleqnSwbn5g++l4yamdSwHdcNG27R9B4J0Tp+BcS9cjr6G7aA0dP1UA7tNK1BwJwALmdiQcr8JLOfiSESHt9zbsdla0epyfD1MAz+Du68E8OMAfgTu+rsfAfBmZt5Q5AYAiEeApyptPLRRRzETw3wqNrYVH/Zs3larhbm5OU/HjnIF3Ilo4yamOcxoGjYahnOiYmmm0UYqq1++/ihm1dewnSMFw3ot+N1WsHJXI4N7PoEz2TjiI4K7F99ZQXyD4afF/7sAPgzgRcz8uCKfI0TAaJgOQEDDcFBM09hWfG82r80Oyi0Lps2IEnBFQVlv1AHabe95uqNmHl81l0DL4qET0wzbXah8UrXvLaNz4seYJjr7dizHHVCtG9iquQH+qd0ado0yyicI7ouZeDfH/eDs1OWAwX0cOt/fYYhvMPz08T9fpcgoOhxxgzcAcyCJeFQr/rbzZ/B7930L1bYFIvcfx3KActPE/U9WlHf3+MnjHzXz+Kdf4vax9gZ9V3Jx/MgLlnFNMY2t+mQ/uUgetD86lnMgQ2awBX+i4J6NHxlQXcknsJSZfHAfR9j31y/iG4yxgZ+I3sHMv939+TdHHcfMvzppsR5JchCPxmDYjET0+Jo8N11dwHwq2k1fBGJRwnwqilgkMpV+fj95/MfNPP5frpxDvTvRymGGYU++/r3kQR+lbTn7swHHsjkAACAASURBVFPrB1MiK+1gwT1CwFImfmCGaq+I2FI2gVhk+qswDUNeD2rRxfe4Fv/g8P7VKkVG4YCQjUdgWA6yiQiY+diaPE2TcfV88kDtbGaeSj9/KpXydfywmccnGaz1SywxnS6wSTEp35ZpHygWNhjoK+1gy31GCFjKHuyOyaOFa1eXsZiNaxPcx3FaXw/TQhffsYGfmd888OudcIuyLQDYBfB5Zn5YoRsAd+bxlYUUXvE8N6vnW3vtfr/93Rfd6QOj+vnDqNqZTqcDnddLxWya9lTr3scT/t6owsaPrxvc3fz2A8G9ZqDaCRbcowQsZfdb64Mt+MXM0eDebtSRys7OJKPL+fWgA7r4HtvHT26z+T0A3gjgKbjVOK8EcAURfQDAT/C4Epon5Ewmiju/8zkA9vPecwlCMkYjs3vCrNpZLpc9Z/XYjltGoWXa6FiO8tb9MFr1ihZZBl457NvsBvetujlQNMz9fpLgvpxzM2POHJqdupiJI+qj5T7r91d3xDcYXgZ3fwruQunfycxf7m0kohfDzfL5aQD/WYkdgFhsX9Frjn6YVTsXF0eXiGVmdGxGx3LQsRwlffZ+yczpn7fdNOx+0bD1MmFn7el+cK+dILifOVA0bH92qt/gPo5ZuL+DiK9adPH1EvjfAODnBoM+ADDzl4noFwC8HQoD/1atg/fd8xhuO3/GV45+WFU7a7XagZm7zIyW6aBlOmhb6vvs/WI0m1rMJGwY9sEJTAMDqnUjWHCPRQjL2cNdMvF+cI+ccP1UL+hyf70ivmrRxddL4H8+gM+O2PdZAB+YnM5RosT9Lp1MnI6d2BQ2hmH0K2H2Av4k8u1VYVnTWzim3rGOLLHX66Y5SXA/c2j91F6gX8jEphLcxzHN+zsJxFctuvh6CfxRZh66mjEz14hIaZJxzSRsN01k4xEgHnNnqWq04hbgVkI0bQemzUgUFvF0taNxqD/IJPOKmd0B6mHrp27VDXciXgDiEeqnPy5nolidS/cHVIvp8IP7OHTJ2/aK+KpFF18vgT9ORN8Ld55J0McITCbmwHIIe203sL71e85pseKWYbut+eahgmjlrU0t8nS94jevmJlR63XLHFo/datuoBkwuCei1G+1D85QXcklMD8Q3MubT6G44r0eUtjokrftFfFViy6+XoL2FoD3HrNfGZZDMLu9AL3ugDtf9RyVTzmU3sBs27TRspyR1S/jST3StbwyzJeZUevs97kfXkO1dcLgvpI7OIFpJZ9AIeWt5X453F+dEV+16OJ7bOBn5mum4DGSwaXebMbUSiwbtgPDcmA6DNN2v7z01Udjei5ZeBhmRrVj41tVB5W9vQMlf7fqBlrH1PEfRSJKR/LbeyUI5lOxA5PqgjAr97eH+KpFfIOhtJtmEiQjB4NtPEJKSi/YjlsSoW06aFvO0NWqvNBu1JDOecvjV00vuPfWUD1Y9tdEJ2BwT8YiOJM9urzeSi6OwgSC+zh0ur9eEF+1iG8wphL4iei9cGv4bzHzdd1tCwD+BMA1AJ4A8C+YuXz43JZzMIhMosQys9uCN2wHRvf7pGbLZgvT7X9mZlTa+9kykwruqVjkwOzUXgt+JZfAXDKqNLiPY9r396SIr1rENxjTavG/D8BdAP5oYNvbAPwVM7+TiN7W/f2XD594KG3fc/qm7TBsx836sbo/28z97aqybtr1GhKpyS6v5vSCe20/oA8GeMMOdjUEIBdjdDiCF16Rw7ev5vpdM/kQg/s4VNxflYivWsQ3GFMJ/Mx8HxFdc2jzq+HOCAaA9wO4F0MCf+RQiDZsB695wRKa3YqVNgOOw3AYbmBnhuMgtNx52w5WvdFhxl7LGshvP1hfJmhwT8ci/bIDZ3JxPHCpho5lI5OIIkLAC3Mt3L+XQLVt4+Zrwp1VeHG9duyi70Hvb1iIr1rENxhh9vGvMPM6ADDzOhENTcav16p48j++HS3Hbf3f8NrX4srv+1k8/sQTSKQyiEQiaDfryM0volndAzMjO7+Aenm7P0Ou02ogV1xCY28XRITM3DzqeztIZXJwHAdGu4n8wjJquyVEozGkcnk0KmWksnnYlgmz0+7vj8USSGQyaFb3kM4VYBptWEanvz8SiaLdqKNVryAzNw+j2YRlGcgvLKOys4UmEtjpEJ4u11FxEtiotFBq2thpu59OgpCOEVZycRTjDlbnUlhKRzEfM3HN2TPg+g5isXj/mtY2DCxkgULMwDdbKcSJcV3ewKWmhfLmU0OvKZZIIp5IDb2m2m4J8WQK0Vgc7UYN2UIR7XoNtm3193v5Oz2x28Kjl7ZhGQm8pGjCsNv4xNfbSDYSeMbKQv/vlMnPo7z51In/TtO4JgBwbBum0ZnKa28S1xRPpFDefEqb/6fjrikajaFVr5747zSta3JsG7Xy9lRee+MghfXVDj6R2+L/xEAf/x4zzw/sLzPzkQ6wP/vkZ/jdj8aQiUewkkvil77HW637sNjZuATMrRyYuDSYEhl0LCGbiB6sCDkwoJpNeO+Wede9a9hrmUh26x1dn23i/r0U5tPxUO/tYS8A6JjOES83jz/8PGiviK9axHc0W48/8sCFCxduHLYvzBb/JhGd7bb2z2LUfACKoJiKwWLglucuTNdwBA4zdpvWkUyZ3pflDJ3ofCy5RBQr3cWwV3KDC3YkkEtEJ+J+y3MX8MGvbAKmg0SMUOpEtLi3pYaJbOLgm1ciRig1zIPbNOgf9YP4qkV8gxFm4P84gDcBeGf3+18MO8hmYD49vL9XJQ4zdprmfn/7QOu91Ajecu8F997SeoOt9+yEgvs4zp/N43ag35eeyMRx+4tWpnpvh7GcjXdb/PvB37AYy9mDec+RyPSWIZwE4qsW8Q3GtNI5Pwx3IHeJiC4B+DW4Af9PiegnAXwLwG3Dzo2Tuq4o2xkM7gezZUp1AwHHU5FPRg9MXBosP5CZQnA/jvNn8/1A7370DDfoA0c/iRgWD/0k0m7Wkc5Pv0RHUMRXLeIbjGll9bx+xK4Lx51rcAR7LRMf/Mombgd8t0wHg/vmgX53E9uN4MF97kBw3y/5uxBnzOX0+Djnhdz86PUDpsnhTyKjsnqm5UsgRAhHKlQxu1/oZo2Ne/kQXF86UuZK33qturwevCK+wdB+5m4iwu6An+ngU4/uDg38lsPYaZhD+txPHtxX8gnEI4Stuom25WApE8crnreAF4+YOVwpbQAeA7+X9EXVNKt7KCyv+jonQm5Q7NXW6f1MA9sAd3JZhAjRyMHjubuvl1fQ+/O8/NoiXnZtEcw48lg9NvdKKM7v3yPm/SB6OE+h9xjU/Tk64MgD57vHus9F3evxO4fhcJJE7/xLl7Zx5ZnhabK9c3jAfdCr9/7S3zZ4zqjjcfA+HL7OQcveFQ5ee6lcxdxcbvh5h59z4En40Bvh4b8FDzlmEu9+tVoFyVSw5U6DcNJcmFa1gsTy9HxHoX3g7/2LxqPARs3AxfX6kXK/200TQSfeFlKx/T73QwOqqVgEF9dr+OBXNhGLAAuZKNqWjbu/XkIyFhkapL1mSfUfl4Bsgk70qcYvESJEiRCNAM0IkE/G9oM33CAJHAwIBCASIUQDBMVJEo9gwmMhk7mWUfdk3Oth8P4e1QjnHleihLmU9mGhj1WJ4Io5PRYw94JTjeDKwnR8N8fs0/4vXDEJa+VO//f/8PknfT/GfCq2v/pS9mhwH8enHt1FjNBPM0x2l3sc9ekjO+8tO8bv446D4AbxXkCP0H6QjhAh0m1xR7ut70FyV6wiNUP/6MvLetQz94r4qkV8g6H9f7zXj1bFdOxQjrubNbOcTSB5THAfh9c0wx718ranPF0vjxsd6CaJdgP4YDCPErr7g7cONzc3ce6c3nMjBhFftYivWnTx1T7wDxKLEJ69mD4wmLqSO3lwH4fXNMMeXtfTXM7GUWlbSMbcfmcC0LEZV8wlsJpPTq1LZXB94FlAfNUivmrRxVf7wB+PMOJRQiEZBSMy9dmlXtMMD9NrrUcjhFj3K9JtoUeJcPsNq7jrC5dgO9xfRtJm4MeuX0EsEl4fuiAIlz96zCYYQyrqZn/sNm2k49MPiOfP5nH7i1Ywn46jYTDm03G84UWruOHKOSRjEWTiUcwlYyim41jOJhC3O7hyLomzc0mcySWwmHFr1GcTUaTjUSSiEUQjhJuuLuAtL70KC5k4ah0HC5k43vLSq6a+jGS9Xp/q850U8VWL+KpFF1/tW/xNi2A53RyHKdUVAtBvqUeJcPM1Rbz82iJi0QjikaMDpIOcXV3x3EVz09WFUNYLHmRlZSXU5/eL+KpFfNWii6/2Lf50dD/Y77XsiT42gRCPRJCOR5HvttrPZBO4Yi6Js/kklrMJLHRb7LlkDKlYZGzQB4BSqTRRR9WIr1rEVy3iGwztW/wAIR4FbAcIspYUgZCMUX8iUS8TJh6NKOlL13HxknGIr1rEVy3iGwztA3/H6fbwMDwFagIQj0aQjEWQikWQiNJUb/bCgh4VRL0ivmoRX7WIbzC07+pJRbg/m7Rp2njXvWu4uL5f9jhKhHQsikIqhuVuN82ZXAKFVAzJWGRiQf/+Jyt46z2P4Q0feRhvvecx3P9kZehxunyU84r4qkV81SK+wdA+8NuIwO62+hdSMVTbFv74q5t4YreFs3k3e2YxG0c+OdlAP8j9T1Zw1xcuYbdpIp+MYLdp4q4vXBoa/Ofm5ib+/CoRX7WIr1rENxjad/U4zHBAKKYiKGTcSVNt08FfPLKN77q2iPufrODui1vYqBlYzSdw2/kzE8+UufviFuIRQqpbXiHVLa9w98WtI89l25MdgFaN+KpFfNUivsHQvsUfJ0Y8AtQMB/WOu1BxMkbYqBm+WuInYaNmIBk7+Emi53CYRqMx0edWjfiqRXzVIr7B0D7wt5wI0C2nu9d23y07FmM1nzjQEidyv8cjhLsvDl/FMSir+QQ61sE5BD2HI8eu+itxHDbiqxbxVYv4BkP7wJ+NcX/xC9N20DYdmA7jtvNnfLXET8Jt58/AdBht0wEzH3A4zMbGxkSfWzXiqxbxVYv4BkP7wA8QzuTi3UU06EBpAz8t8ZPgp7xCPD68eJuuiK9axFct4hsM7Qd3TXbLJhSHBNvbzp/BXV+4BJhOv9DZqJb4SfFaXqFQCH89TT9M03cSA/Fyf9UivmrRxVf7Fn+cRrewdSl0Nsj29nZozx2EaflOaiBe7q9axFctuvhq3+JfzCZx53c8Z+R+HQqdDaLLO7pXpuXrJyV2HHJ/1SK+atHFV/sW/3q1g1v/6CI+8ODTYat4wjAmO7Csmmn5TmogXu6vWsRXLbr4ah/4YxFGy7Lxx1/ZnIng32q1wlbwxbR8JzUQL/dXLeKrFl18tQ/8LbtbRZOAP39Ij/6xceiSp+uVafn6SYkdh9xftYivWnTx1T7wp6NuMeYo3CJtuqNLnq5XpuU7qYF4ub9qEV+16OKr/eCuw26/sA0gE4+GK+OBRGKycwhUM01frwPx49I+5f6qRXzVootv6C1+IvrfiOhhInqIiD5MRKnB/aYDWA4DDLz2uqWwND2Tz+fDVvCFbr7HpX3q5nsc4qsW8Q1GqIGfiK4E8HMAbmTm6+D26Lxu8JhkhGF319y9uN6YeAG2SbOzsxO2gi908z2u/pJuvschvmoR32CE3uKH292UJqIYgAyAA6k7Hcft6rEY+MfdppLqm5OkWCyGreAL3XyPS/vUzfc4xFct4huMUAM/Mz8F4HcBfAvAOoAKM3968Jiom9ADAGgYjpLqm5NEl3Qtr+jme1zap26+xyG+ahHfYIQ6uEtERQCvBnAtgD0AdxPR7cz8wd4xVmMP3/qPv4KWAyQjwNnvfxWqN74Wa2tryGaziEajqFarWF5exu7uLpgZy8vL2NzcRC6XAwDU63WsrKygVCq5hd4WFlAqlTA3NwfbttFoNLC6uoqNjQ3E43EUCgVsb2+jUCjAMAy0Wq3+/kQigXw+j52dHRSLRbRaLbTb7f7+RqOBdDqNcrmMxcVF1Go1GIbR359Op5FIJFCpVLC0tIRKpQLTNPv7p31Nm5ubcBxn7DWlUqmpXdOPPn8ef/PIGkCETSuJq+JtrCOGH3lWDmtra7BtG2trayf+O03rmjY3N1EoFKby2pvENZXLZbTbbW3+n467pkajgWQyqc3/03HXtLm5CQBTee2Njb3MfOxBqiCi2wDcwsw/2f39jQBewsw/2zvmA3/5P/gP/979YEIArioksZCJ485XjS7jECadTgfJZDJsDc/o6Dsuq0dH33GIr1rEdzQPPvjgAxcuXLhx2L6w0zm/BeAlRJQB0AJwAcDfDR6Qje6/MRFwZNLPNJZe9MPGxgbOnTsX2vP7RUffcWmfOvqOQ3zVIr7BCLuP/0sAPgrgQQBf7/r8l8FjLN4f6ItEcGDSz7SWXvRDKpU6/iCNEF+1iK9axDcYoWf1MPOvMfPzmPk6Zn4DM3cG9ztwszqiESAVix5oCU5r6UU/pNPp0J47COKrFvFVi/gGI/TAfxyJCMNhBsHN8BlkWksv+qFcLof23EEQX7WIr1rENxjaB/6OTYhFIphPxXDNwsF3y2ktveiHxcXF0J47COKrFvFVi/gGQ/vAH48AjsOwhlRynFTFx0lSq9VCe+4giK9axFct4hsM7QN/BG6LnoiO7NNx6UVdFlrwiviqRXzVIr7BCDud81gsiuIZxRTaI5bp023pRV3qbXtFfNUivmoR32Bo3+JPkluPP+xBW6/oUm/bK+KrFvFVi/gGQ/vA73Qr9YQ9aOsVXdK1vCK+ahFftYhvMPQP/AwtBm29ostCC14RX7WIr1rENxjaB/4osRaDtl6pVPQtGT0M8VWL+KpFfIOh/eDuUi6FO79Dz4Jsw1ha0n+VsEHEVy3iqxbxDYb2LX7b1n+B9UF0eUf3iviqRXzVIr7B0D7wh1k2OgimaYat4AvxVYv4qkV8g6F94I/H42Er+EKXPF2viK9axFct4hsM7QO/Lu+QXtElT9cr4qsW8VWL+AZD+8AfjUbDVvBFNpsNW8EX4qsW8VWL+AZD+8C/UTPw1nseC3VxFT/M2huV+KpFfNUivsHQPvAnIqzFylpeqVarYSv4QnzVIr5qEd9gaB/46xZhu2nCsp1QV9byyvLyctgKvhBftYivWsQ3GNoH/lSEYTkO9toWnththa1zLLu7u2Er+EJ81SK+ahHfYGgf+ImACBEYgD0DKf2zNu9AfNUivmoR32BoH/hbNsFhAAzEDy+6qyG6fJTziviqRXzVIr7B0D7wp6MOYhFCMRPDM+ZTYescy+bmZtgKvhBftYivWsQ3GNoHftMhOA7DdjATZZlzuVzYCr4QX7WIr1rENxjaB/4euvSNCYIgzDraB/5UFHhGMYV8MjYT6Zz1ej1sBV+Ir1rEVy3iGwztA3/dIlyqdGDZzkysubuyshK2gi/EVy3iqxbxDYb2gT8dcWA5DrYaJjJx/bN6SqVS2Aq+EF+1iK9axDcYoQd+Iponoo8S0d8T0TeI6DsH9zMI6C64DtI/8NMMOA4ivmoRX7WIbzB0WHrxDwB8ipl/lIgSADKDO9sOIRYhzGdiaBpOOIY+WFhYCFvBF+KrFvFVi/gGI9QWPxHNAXg5gPcAADMbzLw3eEwuxriqkEQsEsFqXo8V6sehy0c5r4ivWsRXLeIbjLBb/M8EUALw/xHR9QAeAPDzzNzoHdCoVvDZ3/pZtB3CQiqKdz/6z3HHHXdgY2MD2WwW0WgU1WoVy8vL2N3dBTNjeXkZm5ub/ZzZer2OlZUVlEolEBEWFhZQKpUwNzcH27bRaDSwurqKjY0NxONxFAoFbG9vo1AowDAMtFqt/v5EIoF8Po+dnR0Ui0W0Wi202+3+ftu2Ua1WUS6Xsbi4iFqtBsMw+vvT6TQSiQQqlQqWlpZQqVRgmmZ//7Svqd1uY319few1pVIppNNpLa4pnU5jbW3txH+naV1Tu91Gu92eymtvEtcUiUSwtramzf/TcdfkOA729va0+X867pra7TY2Nzen8tobB4WZH09ENwL4IoCbmflLRPQHAKrM/G97x3z0v/0Vf2onj9vOn8FNVxdCc/XK9vY2lpaWwtbwjPiqRXzVIr6jefDBBx+4cOHCjcP2hT24ewnAJWb+Uvf3jwK4YfCApXQUd77qOTMR9AGg0Wgcf5BGiK9axFct4huMUAM/M28AeJKIntvddAHAI4PHyGLrahFftYivWsQ3GGG3+AHg3wD4EBFdBPBCAP9+cKcstq4W8VWL+KpFfIMReuBn5q8y843MfJ6ZX8PM5cH9e3t7o07Vko997GNhK/hCfNUivmoR32CEHviPY9YC/5/92Z+FreAL8VWL+KpFfIOhfeCftaqclmWFreAL8VWL+KpFfIMRajqnFz75yU/Wksnko2F7eGV3d3dpYWFhO2wPr4ivWsRXLeI7lnMXLlwYuuSX9oFfEARBmCzad/UIgiAIk0UCvyAIwilD68BPRLcQ0aNE9A9E9LawfYZBRE8Q0deJ6KtE9HfdbQtE9Bkieqz7vRii33uJaIuIHhrYNtKPiN7evd+PEtEPauL760T0VPcef5WIXqmDLxFdTUR/3S0n/jAR/Xx3u5b3d4yvrvc3RUT3E9HXur6/0d2u6/0d5avf/WVmLb8ARAE8DreQWwLA1wA8P2yvIZ5PAFg6tO1dAN7W/fltAH4nRL+Xwy2D8dBxfgCe373PSQDXdu9/VAPfXwfwi0OODdUXwFkAN3R/zgP4ZtdJy/s7xlfX+0sAct2f4wC+BOAlGt/fUb7a3V+dW/w3AfgHZv5HZjYAfATAq0N28sqrAby/+/P7AbwmLBFmvg/A7qHNo/xeDeAjzNxh5n8C8A9w/w5TY4TvKEL1ZeZ1Zn6w+3MNwDcAXAlN7+8Y31GE7cvM3FukNt79Yuh7f0f5jiI0X50D/5UAnhz4/RLGv0jDggF8mogeIKKf6m5bYeZ1wP1nA3AmNLvhjPLT+Z6/hYgudruCeh/ttfElomsAvAhuK0/7+3vIF9D0/hJRlIi+CmALwGfYLeio7f0d4Qtodn91DvzD1ijTMff0Zma+AcArANxBRC8PW+gE6HrP/28Az4Jby2kdwO91t2vhS0Q5AP8VwC8wc3XcoUO26eCr7f1lZpuZXwjgKgA3EdF1Yw7X1Ve7+6tz4L8E4OqB368C8HRILiNh5qe737cA/Dncj2qbRHQWALrft8IzHMooPy3vOTNvdv+hHAD/L/Y/DofuS0RxuEH0Q8zcm4+v7f0d5qvz/e3B7sp89wK4BRrf3x6DvjreX50D/5cBPIeIriV3Ld7XAfh4yE4HIKIsEeV7PwP4AQAPwfV8U/ewNwH4i3AMRzLK7+MAXkdESSK6FsBzANwfgt8Bev/kXV4L9x4DIfsSEcFdNvQbzPzugV1a3t9Rvhrf32Uimu/+nAbwfQD+Hvre36G+Wt7faY14B/kC8Eq4mQePA3hH2D5D/J4Jd1T+awAe7jkCWATwVwAe635fCNHxw3A/XppwWxg/Oc4PwDu69/tRAK/QxPcDAL4O4CLcf5azOvgC+C64H80vAvhq9+uVut7fMb663t/zAL7S9XoIwK92t+t6f0f5and/pWSDIAjCKUPnrh5BEARBARL4BUEQThkS+AVBEE4ZEvgFQRBOGRL4BUEQThkS+IVTARG9mYg2iahORItEdHO3umOdiF5DRPcS0b8O21MQpoEEfkFbuiVrP3lo22Mjtr1uzOPEAbwbwA8wc46ZdwD8JoC7ur9/zKcXE9GzD237dSL6oJ/HEYSwkMAv6Mx9AG4moigAENEq3IqHNxza9uzusaNYAZCCO8mux7lDvwvCqUECv6AzX4Yb6F/Y/f3lAP4a7izHwW2PA/jB7gIjNSL6RyL6aQAgom/rHg8Ae0T0P4mot87DX3a7epKHn5iIfqL7eGUi+u9EdM6POBG9lIi+TESV7veXDux7goi+b+D3/qeF7mIeHySiHSLa65670t1XIKL3ENF6d2GPfzfwBvhsIvps9/m2iehP/PgKpwsJ/IK2sLsOw5fgBnd0v38OwOcPbbsPbqGuHwIwB+BfAfh9IrqBmb8J4AXdY+eZ+Z8x87MAfAvAD3e7ejqDz0tErwHwKwBuBbDcfc4Pe/UmogUA9wD4Q7jlBd4N4B4iWvRw+psAFOAW71oE8DMAWt197wdgwf2E8yK4taF64xK/BeDTAIpwi339X159hdOHBH5Bdz6L/SD/MrhB+HOHtn2Wme9h5sfZ5bNwg+DLAj7nTwP4P5n5G8xsAfj3AF54qNX/YLdFvkdEe3BXgurxKgCPMfMHmNli5g/DLS72wx6e24Qb8J/NbkXHB5i52m31vwJuKeUGu9Vgfx9u8cLeeecAXMHMbWb+fMBrF04BEvgF3bkPwHd1F69YZubHAHwBwEu7264DcB8RvYKIvkhEu91A/EoASwGf8xyAPxgI6rtwa6cPLpJxAzPP974AvHNg3xUA1g495hq8LbLxAQD/HcBHiOhpInpXd3D6HNxur/UBr/8H+4uQ/FLX8X5y13v9CV9XLJwqYmELCMIx/C3cro+fAvA3ANBtAT/d3fZ09+thAG8E8BfMbBLRxzB8oQsvPAngt5n5QwHPfxpuoB7kGQA+1f25ASAzsG+19wMzmwB+A8BvkLtK1ifhjlF8EkAH7vrO1uEnZOYNAP8rABDRdwH4H0R0HzP/Q8BrEC5jpMUvaA0ztwD8HYD/HW4XT4/Pd7fdByABd8HqEgCLiF4Bt/87KP8ZwNuJ6AVAf1D1Nh/nfxLAtxHRjxNRjIh+DO7C2p/o7v8q3DrscSK6EcCP9k4kou8lom/vDtpW4Xbh2OwuMfhpAL9HRHNEFCGiZxHRd3fPu42Iruo+TBlu+WU76A0QLm8k8AuzwGfhdmkM9lt/rrvtPnYXDv85AH8KN+j9OE6waA8z/zmA34Hb3VKFW1v9FT7O34E70Px/UKuukAAAAJFJREFUANiB2w3zQ8y83T3k38Jdiq8Mt3X/xwOnrwL4KNyg/w24196bH/BGuG9yj3TP/SiA3iIfLwbwJSKqw732n2d3AW9BOILU4xcEQThlSItfEAThlCGBXxAE4ZQhgV8QBOGUIYFfEAThlCGBXxAE4ZQhgV8QBOGUIYFfEAThlCGBXxAE4ZQhgV8QBOGU8f8DKDx142Lej68AAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1176,7 +1176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1200,7 +1200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1240,14 +1240,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "sample: 100%|██████████| 3000/3000 [00:06<00:00, 487.44it/s, 3 steps of size 7.35e-01. acc. prob=0.92]\n"
+      "sample: 100%|██████████| 3000/3000 [00:05<00:00, 586.89it/s, 3 steps of size 8.35e-01. acc. prob=0.90]\n"
      ]
     },
     {
@@ -1256,9 +1256,9 @@
      "text": [
       "\n",
       "                mean       std    median      5.0%     95.0%     n_eff     r_hat\n",
-      "         a     -0.00      0.11     -0.00     -0.20      0.17   1737.87      1.00\n",
-      "        bM      0.35      0.13      0.35      0.14      0.56   1812.08      1.00\n",
-      "     sigma      0.95      0.10      0.94      0.78      1.09   1951.25      1.00\n",
+      "         a      0.00      0.11      0.00     -0.19      0.18   1988.63      1.00\n",
+      "        bM      0.35      0.13      0.34      0.15      0.59   2089.49      1.00\n",
+      "     sigma      0.95      0.10      0.94      0.77      1.10   2389.61      1.00\n",
       "\n",
       "Number of divergences: 0\n"
      ]
@@ -1296,12 +1296,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
@@ -1351,7 +1351,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1383,27 +1383,27 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Alabama</td>\n",
-       "      <td>-0.016397</td>\n",
+       "      <td>-0.007245</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Alaska</td>\n",
-       "      <td>0.577286</td>\n",
+       "      <td>0.580710</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>Arizona</td>\n",
-       "      <td>0.010056</td>\n",
+       "      <td>0.014173</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>Arkansas</td>\n",
-       "      <td>0.585147</td>\n",
+       "      <td>0.582068</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>California</td>\n",
-       "      <td>-0.092986</td>\n",
+       "      <td>-0.088889</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1411,14 +1411,14 @@
       ],
       "text/plain": [
        "     Location  Mean Predictions\n",
-       "0     Alabama         -0.016397\n",
-       "1      Alaska          0.577286\n",
-       "2     Arizona          0.010056\n",
-       "3    Arkansas          0.585147\n",
-       "4  California         -0.092986"
+       "0     Alabama         -0.007245\n",
+       "1      Alaska          0.580710\n",
+       "2     Arizona          0.014173\n",
+       "3    Arkansas          0.582068\n",
+       "4  California         -0.088889"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1445,7 +1445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1473,7 +1473,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1505,27 +1505,27 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Alabama</td>\n",
-       "      <td>-0.016397</td>\n",
+       "      <td>-0.007245</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Alaska</td>\n",
-       "      <td>0.577286</td>\n",
+       "      <td>0.580710</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>Arizona</td>\n",
-       "      <td>0.010056</td>\n",
+       "      <td>0.014173</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>Arkansas</td>\n",
-       "      <td>0.585147</td>\n",
+       "      <td>0.582068</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>California</td>\n",
-       "      <td>-0.092986</td>\n",
+       "      <td>-0.088889</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1533,14 +1533,14 @@
       ],
       "text/plain": [
        "     Location  Mean Predictions\n",
-       "0     Alabama         -0.016397\n",
-       "1      Alaska          0.577286\n",
-       "2     Arizona          0.010056\n",
-       "3    Arkansas          0.585147\n",
-       "4  California         -0.092986"
+       "0     Alabama         -0.007245\n",
+       "1      Alaska          0.580710\n",
+       "2     Arizona          0.014173\n",
+       "3    Arkansas          0.582068\n",
+       "4  California         -0.088889"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1558,12 +1558,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
@@ -1600,7 +1600,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1626,14 +1626,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Log posterior predictive density: -66.70353698730469\n"
+      "Log posterior predictive density: -66.70132446289062\n"
      ]
     }
    ],
@@ -1660,14 +1660,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "sample: 100%|██████████| 3000/3000 [00:05<00:00, 534.66it/s, 7 steps of size 7.99e-01. acc. prob=0.92]\n"
+      "sample: 100%|██████████| 3000/3000 [00:04<00:00, 600.50it/s, 7 steps of size 7.46e-01. acc. prob=0.92] "
      ]
     },
     {
@@ -1676,12 +1676,19 @@
      "text": [
       "\n",
       "                mean       std    median      5.0%     95.0%     n_eff     r_hat\n",
-      "         a     -0.00      0.10     -0.00     -0.17      0.16   1897.70      1.00\n",
-      "        bA     -0.56      0.11     -0.56     -0.74     -0.38   1827.11      1.00\n",
-      "     sigma      0.82      0.09      0.81      0.67      0.95   1813.78      1.00\n",
+      "         a     -0.00      0.10     -0.00     -0.15      0.17   2168.44      1.00\n",
+      "        bA     -0.57      0.11     -0.57     -0.76     -0.39   1620.33      1.00\n",
+      "     sigma      0.82      0.08      0.81      0.70      0.97   1725.40      1.00\n",
       "\n",
       "Number of divergences: 0\n"
      ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
     }
    ],
    "source": [
@@ -1694,12 +1701,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
@@ -1721,12 +1728,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
@@ -1751,14 +1758,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Log posterior predictive density: -59.22672653198242\n"
+      "Log posterior predictive density: -59.235015869140625\n"
      ]
     }
    ],
@@ -1782,14 +1789,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "sample: 100%|██████████| 3000/3000 [00:06<00:00, 472.77it/s, 3 steps of size 6.11e-01. acc. prob=0.89]\n"
+      "sample: 100%|██████████| 3000/3000 [00:05<00:00, 542.93it/s, 7 steps of size 5.02e-01. acc. prob=0.93]"
      ]
     },
     {
@@ -1798,13 +1805,20 @@
      "text": [
       "\n",
       "                mean       std    median      5.0%     95.0%     n_eff     r_hat\n",
-      "         a     -0.00      0.10      0.00     -0.16      0.15   1946.02      1.00\n",
-      "        bA     -0.61      0.16     -0.61     -0.87     -0.35   1480.89      1.00\n",
-      "        bM     -0.06      0.16     -0.07     -0.33      0.21   1416.08      1.00\n",
-      "     sigma      0.83      0.09      0.82      0.69      0.96   1559.51      1.00\n",
+      "         a      0.00      0.10     -0.00     -0.17      0.17   2004.19      1.00\n",
+      "        bA     -0.61      0.16     -0.62     -0.88     -0.37   1389.71      1.00\n",
+      "        bM     -0.07      0.16     -0.07     -0.31      0.20   1293.55      1.00\n",
+      "     sigma      0.83      0.09      0.82      0.68      0.96   1436.51      1.00\n",
       "\n",
       "Number of divergences: 0\n"
      ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
     }
    ],
    "source": [
@@ -1818,14 +1832,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Log posterior predictive density: -59.12065505981445\n"
+      "Log posterior predictive density: -59.08576583862305\n"
      ]
     }
    ],
@@ -1852,12 +1866,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x1152 with 2 Axes>"
       ]
@@ -1932,7 +1946,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1950,7 +1964,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1960,14 +1974,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "sample: 100%|██████████| 4000/4000 [00:10<00:00, 379.65it/s, 15 steps of size 2.93e-01. acc. prob=0.92] \n"
+      "sample: 100%|██████████| 4000/4000 [00:06<00:00, 585.33it/s, 15 steps of size 3.22e-01. acc. prob=0.90] \n"
      ]
     },
     {
@@ -1976,60 +1990,60 @@
      "text": [
       "\n",
       "                      mean       std    median      5.0%     95.0%     n_eff     r_hat\n",
-      "               a     -0.06      0.10     -0.06     -0.22      0.10   3966.50      1.00\n",
-      "              bA     -0.61      0.16     -0.61     -0.87     -0.36   2557.72      1.00\n",
-      "              bM      0.05      0.17      0.05     -0.23      0.31   2492.16      1.00\n",
-      " divorce_rate[0]      1.15      0.37      1.15      0.54      1.75   3605.29      1.00\n",
-      " divorce_rate[1]      0.69      0.54      0.69     -0.16      1.64   5458.77      1.00\n",
-      " divorce_rate[2]      0.42      0.33      0.42     -0.09      0.97   5768.17      1.00\n",
-      " divorce_rate[3]      1.41      0.46      1.40      0.68      2.18   4829.59      1.00\n",
-      " divorce_rate[4]     -0.90      0.13     -0.90     -1.13     -0.70   7228.24      1.00\n",
-      " divorce_rate[5]      0.65      0.40      0.64     -0.02      1.28   6164.41      1.00\n",
-      " divorce_rate[6]     -1.36      0.35     -1.36     -1.98     -0.80   6419.94      1.00\n",
-      " divorce_rate[7]     -0.34      0.49     -0.33     -1.14      0.45   5691.21      1.00\n",
-      " divorce_rate[8]     -1.89      0.58     -1.89     -2.77     -0.88   3791.78      1.00\n",
-      " divorce_rate[9]     -0.62      0.17     -0.61     -0.90     -0.35   6524.70      1.00\n",
-      "divorce_rate[10]      0.76      0.29      0.76      0.26      1.22   6696.11      1.00\n",
-      "divorce_rate[11]     -0.56      0.49     -0.55     -1.38      0.23   4890.48      1.00\n",
-      "divorce_rate[12]      0.19      0.50      0.20     -0.68      0.96   2576.29      1.00\n",
-      "divorce_rate[13]     -0.87      0.23     -0.87     -1.22     -0.48   8447.07      1.00\n",
-      "divorce_rate[14]      0.55      0.30      0.55      0.07      1.05   5253.27      1.00\n",
-      "divorce_rate[15]      0.28      0.39      0.28     -0.34      0.94   7013.39      1.00\n",
-      "divorce_rate[16]      0.50      0.43      0.50     -0.21      1.21   8324.40      1.00\n",
-      "divorce_rate[17]      1.25      0.35      1.25      0.71      1.86   4808.26      1.00\n",
-      "divorce_rate[18]      0.43      0.39      0.43     -0.27      1.01   6052.16      1.00\n",
-      "divorce_rate[19]      0.39      0.55      0.36     -0.47      1.32   3211.61      1.00\n",
-      "divorce_rate[20]     -0.56      0.33     -0.56     -1.13     -0.06   6399.09      1.00\n",
-      "divorce_rate[21]     -1.11      0.27     -1.11     -1.54     -0.67   5767.24      1.00\n",
-      "divorce_rate[22]     -0.27      0.26     -0.27     -0.68      0.15   6910.95      1.00\n",
-      "divorce_rate[23]     -1.00      0.31     -1.00     -1.53     -0.50   5810.23      1.00\n",
-      "divorce_rate[24]      0.43      0.41      0.43     -0.22      1.12   6717.94      1.00\n",
-      "divorce_rate[25]     -0.03      0.31     -0.03     -0.53      0.49   6905.40      1.00\n",
-      "divorce_rate[26]     -0.03      0.51     -0.02     -0.89      0.77   6514.63      1.00\n",
-      "divorce_rate[27]     -0.15      0.39     -0.14     -0.78      0.50   4559.53      1.00\n",
-      "divorce_rate[28]     -0.26      0.50     -0.28     -1.05      0.62   5159.18      1.00\n",
-      "divorce_rate[29]     -1.80      0.25     -1.80     -2.19     -1.38   6357.90      1.00\n",
-      "divorce_rate[30]      0.17      0.42      0.17     -0.49      0.85   5562.08      1.00\n",
-      "divorce_rate[31]     -1.66      0.16     -1.66     -1.93     -1.41   7311.42      1.00\n",
-      "divorce_rate[32]      0.11      0.24      0.11     -0.30      0.49   6410.47      1.00\n",
-      "divorce_rate[33]     -0.05      0.50     -0.05     -0.80      0.83   4267.04      1.00\n",
-      "divorce_rate[34]     -0.13      0.23     -0.13     -0.47      0.27   6629.46      1.00\n",
-      "divorce_rate[35]      1.27      0.40      1.27      0.65      1.94   4871.94      1.00\n",
-      "divorce_rate[36]      0.22      0.35      0.22     -0.34      0.83   5629.33      1.00\n",
-      "divorce_rate[37]     -1.02      0.22     -1.02     -1.40     -0.68   6758.30      1.00\n",
-      "divorce_rate[38]     -0.92      0.53     -0.93     -1.80     -0.07   5132.88      1.00\n",
-      "divorce_rate[39]     -0.68      0.32     -0.66     -1.16     -0.12   6307.37      1.00\n",
-      "divorce_rate[40]      0.25      0.56      0.24     -0.73      1.11   6443.72      1.00\n",
-      "divorce_rate[41]      0.74      0.34      0.74      0.16      1.28   7850.45      1.00\n",
-      "divorce_rate[42]      0.20      0.18      0.20     -0.10      0.50   6700.29      1.00\n",
-      "divorce_rate[43]      0.80      0.45      0.81      0.04      1.53   3717.15      1.00\n",
-      "divorce_rate[44]     -0.41      0.53     -0.42     -1.32      0.41   4688.78      1.00\n",
-      "divorce_rate[45]     -0.39      0.25     -0.39     -0.81     -0.00   6562.05      1.00\n",
-      "divorce_rate[46]      0.13      0.31      0.12     -0.34      0.67   6398.53      1.00\n",
-      "divorce_rate[47]      0.56      0.45      0.57     -0.22      1.30   5244.04      1.00\n",
-      "divorce_rate[48]     -0.63      0.27     -0.63     -1.10     -0.20   7119.43      1.00\n",
-      "divorce_rate[49]      0.86      0.60      0.88     -0.11      1.83   4082.14      1.00\n",
-      "           sigma      0.58      0.11      0.58      0.40      0.76   1188.92      1.00\n",
+      "               a     -0.06      0.09     -0.06     -0.21      0.09   3771.30      1.00\n",
+      "              bA     -0.61      0.16     -0.61     -0.88     -0.35   2574.87      1.00\n",
+      "              bM      0.06      0.17      0.06     -0.21      0.34   2869.46      1.00\n",
+      " divorce_rate[0]      1.15      0.37      1.15      0.58      1.81   4475.97      1.00\n",
+      " divorce_rate[1]      0.68      0.56      0.68     -0.24      1.60   4975.35      1.00\n",
+      " divorce_rate[2]      0.43      0.34      0.42     -0.12      1.00   5832.31      1.00\n",
+      " divorce_rate[3]      1.42      0.47      1.40      0.68      2.22   5078.12      1.00\n",
+      " divorce_rate[4]     -0.90      0.13     -0.90     -1.12     -0.69   7521.69      1.00\n",
+      " divorce_rate[5]      0.65      0.40      0.64      0.02      1.31   6972.44      1.00\n",
+      " divorce_rate[6]     -1.36      0.35     -1.36     -1.97     -0.80   8344.79      1.00\n",
+      " divorce_rate[7]     -0.33      0.48     -0.32     -1.10      0.44   5769.41      1.00\n",
+      " divorce_rate[8]     -1.88      0.62     -1.88     -2.85     -0.84   4311.04      1.00\n",
+      " divorce_rate[9]     -0.62      0.17     -0.62     -0.89     -0.33   6566.37      1.00\n",
+      "divorce_rate[10]      0.76      0.28      0.76      0.30      1.24   5851.69      1.00\n",
+      "divorce_rate[11]     -0.55      0.47     -0.56     -1.29      0.26   4623.73      1.00\n",
+      "divorce_rate[12]      0.19      0.52      0.21     -0.67      1.02   3162.35      1.00\n",
+      "divorce_rate[13]     -0.87      0.23     -0.87     -1.26     -0.51   6062.70      1.00\n",
+      "divorce_rate[14]      0.55      0.30      0.55      0.06      1.06   5585.20      1.00\n",
+      "divorce_rate[15]      0.29      0.38      0.29     -0.34      0.90   6493.99      1.00\n",
+      "divorce_rate[16]      0.51      0.43      0.51     -0.24      1.18   5507.54      1.00\n",
+      "divorce_rate[17]      1.25      0.35      1.25      0.67      1.81   5705.65      1.00\n",
+      "divorce_rate[18]      0.43      0.38      0.42     -0.16      1.09   6855.74      1.00\n",
+      "divorce_rate[19]      0.39      0.56      0.38     -0.51      1.29   3379.85      1.00\n",
+      "divorce_rate[20]     -0.55      0.32     -0.55     -1.09     -0.04   6465.34      1.00\n",
+      "divorce_rate[21]     -1.10      0.26     -1.10     -1.49     -0.64   5761.77      1.00\n",
+      "divorce_rate[22]     -0.28      0.27     -0.28     -0.71      0.15   6791.50      1.00\n",
+      "divorce_rate[23]     -0.99      0.30     -1.00     -1.46     -0.47   6119.95      1.00\n",
+      "divorce_rate[24]      0.42      0.42      0.41     -0.25      1.10   7012.54      1.00\n",
+      "divorce_rate[25]     -0.03      0.31     -0.03     -0.54      0.48   8150.67      1.00\n",
+      "divorce_rate[26]     -0.02      0.50     -0.02     -0.81      0.80   5094.78      1.00\n",
+      "divorce_rate[27]     -0.15      0.38     -0.15     -0.73      0.49   5685.80      1.00\n",
+      "divorce_rate[28]     -0.26      0.51     -0.26     -1.14      0.53   5625.43      1.00\n",
+      "divorce_rate[29]     -1.79      0.24     -1.79     -2.19     -1.41   5660.96      1.00\n",
+      "divorce_rate[30]      0.18      0.43      0.18     -0.59      0.85   6728.98      1.00\n",
+      "divorce_rate[31]     -1.66      0.16     -1.66     -1.93     -1.39   7253.36      1.00\n",
+      "divorce_rate[32]      0.12      0.24      0.12     -0.29      0.49   7119.58      1.00\n",
+      "divorce_rate[33]     -0.04      0.53     -0.02     -0.88      0.85   4423.73      1.00\n",
+      "divorce_rate[34]     -0.13      0.22     -0.14     -0.50      0.23   9042.88      1.00\n",
+      "divorce_rate[35]      1.27      0.42      1.27      0.56      1.95   6401.60      1.00\n",
+      "divorce_rate[36]      0.23      0.36      0.22     -0.34      0.82   7531.13      1.00\n",
+      "divorce_rate[37]     -1.02      0.23     -1.02     -1.39     -0.66   6609.03      1.00\n",
+      "divorce_rate[38]     -0.93      0.54     -0.94     -1.83     -0.09   4191.70      1.00\n",
+      "divorce_rate[39]     -0.68      0.32     -0.67     -1.22     -0.16   6154.90      1.00\n",
+      "divorce_rate[40]      0.25      0.55      0.25     -0.67      1.14   5781.95      1.00\n",
+      "divorce_rate[41]      0.73      0.35      0.73      0.18      1.32   7035.57      1.00\n",
+      "divorce_rate[42]      0.20      0.18      0.19     -0.09      0.50   8015.43      1.00\n",
+      "divorce_rate[43]      0.81      0.43      0.82      0.10      1.50   4487.80      1.00\n",
+      "divorce_rate[44]     -0.41      0.53     -0.43     -1.33      0.39   6289.48      1.00\n",
+      "divorce_rate[45]     -0.39      0.25     -0.38     -0.77      0.05   6562.95      1.00\n",
+      "divorce_rate[46]      0.13      0.31      0.13     -0.33      0.67   7730.43      1.00\n",
+      "divorce_rate[47]      0.56      0.47      0.56     -0.18      1.36   7594.65      1.00\n",
+      "divorce_rate[48]     -0.63      0.28     -0.64     -1.07     -0.17   7567.57      1.00\n",
+      "divorce_rate[49]      0.86      0.60      0.89     -0.14      1.80   4293.00      1.00\n",
+      "           sigma      0.58      0.11      0.58      0.41      0.77   1048.47      1.00\n",
       "\n",
       "Number of divergences: 0\n"
      ]
@@ -2057,7 +2071,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2070,12 +2084,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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BhnPKF/JoqUQ6nSafzyNNTTQ1NVEsFGhubuavX/tnALzvyx8jn8/T1NSEiFAsFmfWPVWdeX5TUwoRyvPTFIoFAJqbmynk8zSlUgCUikWa02kKhfL8VDOFQp5UKoUqlErFJ2sSARRVkPJ3of9/VUBAKqcB1DkfBURnv2bV8496z/JnsPI1AabHPbdi3pvQ2lkkO56aeezN15o1Ldapf7jE8V3l8ssaHRmlf1hR1ZnX9P3qdSppaVl9SqVSFAqF8nylVLluSROpVJM3v7mZUqk077pXLJZQLVWsW0+ue5OTk4yMjMz6vNX7eQoDUdWFlwrqzUQmVHWliPwYuBY4EbgN2KGqrxSRNwK/oapXzPUad911l5500knRFBwQ2WyW1tboDyRGgVW3c667B4DbLj095krCIci+7XnDO8kODTO1b3DW8Y5UppXMhl5a1/Ww7Yt/F8h77dixg9HR0VmxrmNjY3R3d/PhD394ZprV9RKW7nb33XfvOfvss38jyFriOo33ZuDDeLuvzOPSedtBY9nNMkH27SkvfyEArWt7SGVaEbzBo3Vtz6z5QdDX18f4+DhjY2OUSiXGxsYYHx+nr69v1nKW10uX3OIaQD4L/LWq/jSm948Ul067CxrLbpYJsm/rLzqXlVs205ROk9nQS/uJm8ls6KUpnWblls2sv+jcwN5r27Zt7Ny5k+7ubgYHB+nu7mbnzp1s27Zt1nKW10uX3GK5DkRV9wEfm2N29TGQy1T1BxGUFRouBcAEjWU3ywTZt1SmlZM/9K7IrgPZtm3bUQNGNZbXS5fcIh1AVPWoozmqegdwR/n/nwc+H2VNUTA2NsZxxx0XdxmhYNnNMkH3LZVp5YTXn88Jrz8/sNdcDpbXS5fckivRI6CnpyfuEkLDqtu5W1fPnIFjEat987Hs55Jbci+sCBgbG4u7hNCw6rb9zI28bqs79xwKGqt987Hs55JbMoBEQD6fj7uE0EjcGhPLbmDbzyW3ZBdWBLh0//6gser24PAR8ulVCy/YoFjtm49lP5fcki2QCHDpvO2gsep2xU0PsP3rj8RdRmhY7ZuPZT+X3JIBJALa29vjLiE0LLtZxnrfLPu55JbswoqAVPn+Ohax7NaI1JvLYb1vlv1ccottC0RELijng5xUfrxZRH5WMf/NInK3iHTFVWNQjI+Px11CaFh2azQWk8uxmL7Vk7/hGpbXS5fc4tyF1QfcCby2eoaIvB54K3COqrqTnrJE1qxZE3cJoWHZrdFYTC5HvX2rN3/DNSyvly65xbILS0RWAi8CXoJ3Y8WrKuZdDLwbOFtVh+OoL2hGR0dZsWJF3GUsi7nyM3L5HC1pd26tUIulZWrcAkBm9/pgiwmRxeRy1JuXUW/+hmvc8cmXOr9e1uKFt312wWVc+j6J6xjI+cA3VPVBERkVkecCo8Am4BPA6apa81SDRswDmZqaYmBgoKHzQHK5bM38AlUln8/PmV8QZXbGXJkMqrro7IwnmSOPo+r59WZn1D1/CdkZ9eRyzGRm1JkH0j9cYn2X/5vw6Cznb/hTwnRaTMZJ5WsWCwVKqVTs695i80AmJibq+o4oFovHXh7IzJuK3AJco6rfEpG3ASfg5YPcjjeQ/IuqXl3ruY2YBzI9PU1bm82rmq26PTh8hFw2yynHN84huMXkctTbt3rzN1zD6noJS3czkQciIquBlwLXiUg/cCXwGrw/LI4A5wJ/IiKvi7q2sNi/f3/cJYSGVbctPSvoKLhzsLIeFpPLUW/f6s3fcA2r6yW45RbHQfSLgC+q6iZV3ayqJwCPABsAVPUg8ArgAyLyWzHUFziu5BeHQeLmDovJ5ajXrd78DddotN4tBpfc4jgG0gd8sGravwN/4T9Q1UdE5HeAr4vIhar6wygLTEi4+vt7yWaneffLVsddSt2ElctRT/5GwrFJ5AOIqp5VY9rHgY9XTfsJcHxEZYXKxMQEq1c3zhfRYrDqdusDI4B3OmAjUW8uh9W++Vj2c8ktuZVJBKxduzbuEkLDsptlrPfNsp9LbskAEgEHDx6Mu4TQsOxmGet9s+znklsygESAzL6wwBSW3SxjvW+W/VxySwaQCOju7o67hNCw7GYZ632z7OeSWzKARIBLm5xBY9nNMtb7ZtnPJbfkdu4R0NnZGXcJoWHV7RmrMxSLxbjLCA2rffOx7OeSWzKARIDlLyKrbp+84CSGh929l2e9uR9zPt9o33ws+7nkFvsuLBEpisi9IvIzEflPETmuPH1WPkgjMzk5GXcJoZG4RU+t3I9Dvx7grl3X8g/PP493/tn2BW+37qpbUFj2c8kt9gEEmFLV01T1FLwbKV4ed0FBs27durhLCI3ELXqqcz/GH/g1h/sfo5QvsCYPnT8bWDCzw1W3oLDs55Kba7uw7gKeE3cRQTM0NMSmTZviLmPRzJUBUkkul6WlZWm3yIiaxeSCnDnm5YF8f9V5YZWzZKpzP4pFSCukpnJMtxbYtO8AA/L4vJkdbapOnQ46F9/59CuW9DwX18t6sj7qwaXvE2cGEBFJAWcDn5lvuUbMAykWiw2ZB5LLZRfML1BwPg/Ez2SozPZo5DyQbFXux2RTgfZSM00lb4dCS76ZjorMjlo1+26uOM01P1/Iz7nueetWqfa6VypRKhWdWfdSqSYGBgbm/I7IZDIcOnSoru+II0eOMDAwcOzmgcwqQKQI/BTYDOzBi7Etishm4GvlXVszNGIeyOTkJO3t7XGXEQpW3c657h4Abrv09JgrOZrq3I98Lud9aaVTTLW3ks2kuePUdfNmdljtm49lv6W6mcgDqcGUqp6Gl0bYgsFjIC6fzbNcLLu5SnXuR6q5mXyTcKQlBars7WpbMLPDet8s+7nk5sIAAoCqjgFvA3aIiLthy0ugMs3NGpbdXKU696Nz69Po2Hw8TelmDqZh/JRNC2Z2WO+bZT+X3Jw5BgKgqveIyE+A1wLfj7ueoMjlcnGXEBqW3VylVu5H19M2sfUtfXVfB2K9b5b9XHKLfQBR1ZVVj19V8fAUDDA1NRV3CaFh2c1l6s39mAvrfbPs55Jb7APIsYBL520HjVW3t59xAoV8Ie4yQsNq33ws+7nk5swxEMsMDQ3FXUJoWHU776QeTuvMxl1GaFjtm49lP5fckgEkAlpaWuIuITQSt8bEshvY9nPJLRlAIqCjoyPuEkLDqtst9w9z1/5S3GWEhtW++Vj2c8ktGUAiYGRkJO4SQsOq28fufJRP/fhA3GWEhtW++Vj2c8ktGUAioKurK+4SQsOym2Ws982yn0tuyQASAS6ddhc0lt0sY71vlv1ccovlNF4RuQD4CvBMVb2/fN+rXwIP4N3O5MfAm1Q1H0d9QTM9PR13CaFh2c0llhsgVY31vln2c8ktrutA+oA78a44v6o87WFVPa18V95vARcD/xJPecHi0nnbQWPZzRX8AKmJB/tnpmWHhnn0+ps59MP7OPlD71r0IBJE3/bs2cMNN9zA3r172bhxI319ffPePiVKLK+XLrlFvgtLRFYCLwLehDeAzEJVi8CPgOMjLi00XDpvO2gsu7lCdYDU5K/6mdo3SCmfZ+LBfh6/8dZFv+Zy+7Znzx527drF6Ogovb29jI6OLhhiFSWW10uX3OLYAjkf+IaqPigioyLyXLwkQgBEpA14PvD2GGoLhba2trhLCI0w3OoJsgqdi98KQGb3+pgLOTpACqB0+Ai57CgruguMfOFutrRdtqjX3IoiP1p6oNTuL+XpmlCOywuMwPQvTyBXyHP1JX/MZZtOXfLrLhc/tCn5zEVDHANIH3BN+f//Wn58LfB0EbkXOBG4UVXvq/XkRgyUKpVKDRkoNZ+TH4DT2trK4OBgoE5+yE8YoT6FQmHBkKzm5mbe8y8f5bf+9NvAPOFJEYUvTVcFSLV2FsmOp2Yee/N1wZCsWYFSCsjSA6X6h0scXz4ZqBxbRZsIg9MTlEqlyPpUHSh14MCBmXVv5cqVDfd5quc7YnJy8tgMlBKR1cA+4ADeepcq//ubwH+q6iki0gvcAVypqjdXv0YjBkoNDAw4E0EZNIlb+FQHSPmkMq1kNvTSuq6HbV/8u0W95nLdduzYwejo6Kxbi4+Njc0bYhUlrvQuDJbqZiFQ6iLgi6q6SVU3q+oJwCPABn8BVR0E3g3sjLi20Fi9enXcJYRG4hY+1QFSgjd4tK7tmTV/MSzXra+vj/HxccbGxiiVSoyNjS0YYhUlrvQuDFxyi3oA6QO+WjXt34G/qJp2E7BCRM6MpKqQOXz4cNwlhIZVt8u+ej/bv/5I3GUARwdItZ+4mcyGXprSaVZu2cz6i85d9Gsut2/btm1j586ddHd3Mzg4SHd394IhVlFidb0Et9wiPQaiqmfVmPZx4ONV0xSI70hcwLgUABM0Vt0eGnHnYq1aAVLLvQ4kiL5t27bNmQGjGqvrJbjlluSBRIBL520HjWU3l1hugFQ11vtm2c8lt+RWJhHg0nnbQWPZzTLW+2bZzyW3ZACJgEwmE3cJoWHZzTLW+2bZzyW3ZACJAJcCYILGsptlrPfNsp9LbskAEgFjY2NxlxAalt0sY71vlv1ccksOokdAT09P3CWEhlW3c7eunrkC3iJW++Zj2c8lt2QLJAJc+oshaKy6bT9zI6/b6s49h4LGat98LPu55BbrFsgcuSBfU9VT4qwraPJ5E7EmNUnclkfQOR/1YrlvYNvPJbe4d2HVygUxh0vnbQeNVbcHh4+QT69aeMFlEEbOR70spW8u539UY3W9BLfcYtuFtVAuiCVcOm87aKy6XXHTA6HfyiSMnI96WWzfXM//qMbqegluucW5BTJvLogl2tvb4y4hNOJwiyQvpJwHUvleZ7/5G4G+RRg5H/PxnU+/Yub/hUKBx5rr//h/cuAn5PI5ppvT+IGq9eZ/+BkdUZJ85qIhzgFkrlyQeWnEPJBCoWA2DySdTgeeB7KQU7FYCD1nwke1RD6fp6mpCdBA80DqzvlYIC9krpqq5+fz+ZnsDC9zRRERisXizOdJVWd+J01NKUSgWCyyPztJV6qFYqlIU1MTpVKJTFMTQ9MT5HLZeXNbKrMrosrOGBkZIZPJNNznqZ7viCeeeGLW+x8zeSAzb1pHLshcz03yQNzCqts5190DwG2Xnh7ae4SR81Evi+2b6/kf1VhdL+HYzgPxWTAXxBJr1qyJu4TQsOwWNmHkfNTLYvvmev5HNZbXS5fc4hpA5ssF2Soi+yp+fi/68oJldNTkoR3AtlvYhJHzUS+L7Zvr+R/VWF4vXXKL5RhIvbkgVohjN2FUWHYLmzByPuplKX1zOf+jGsvrpUtucV8Hckzg0iZn0Fh1+8T5W8llswsvuEyCzvmoF6t987Hs55JbciuTCNi/f3/cJYSGVbctPSvoKIzHXUZoWO2bj2U/l9ySASQCwjyNLm4St8bEshvY9nPJLRlAEhJqcPX39/Lpe0biLiMhwWmSASQCJiYm4i4hNKy63frACLf3T8ZdRmhY7ZuPZT+X3JIBJALWrl0bdwmhYdnNMtb7ZtnPJbdkAImAgwcPxl1CaFh2s4z1vln2c8kt0tN4RUSBj6rqn5cf7wBWqupVInIVMKGqH65Yvh/4DVUdjrLOoBH/RkYGsewWBXHlgVjvm2U/l9yivg4kC1woIrsafVBYDN3d3XGXEBqW3cKmVh7IoV8P8PCuezjwoU+w96XP5jWv//1QLt6z3jfLfi65Rb0LqwD8E7A94veNFZc2OYPGslvYVOeBjD/waw73P0YpX2BNHjp/NhBa5ob1vln2c8ktjivRrwXuE5FatxndLiK/X/F4fUQ1hUpnZ2fcJczLcvI1isUCj6XivaFB0DkdAFuaPgYomd3nBf7aPtV5IMUipBVSUzmmWwts2neAAXmc3e//Lmdckg70vU9C4UfB7wqpzByJk+Wsl3HklywGl75PIv/kq+q4iHwReBswVTX76hrHQGbRiHkg2WyW8fFxZ/NACoX8krMzEKFUejJnws/OqDdnornZz6aA5uZmCvk8TSkvJ6NULM6bM+HngajqUdkXsLzsjOs63jYT6jFn3kfAeSCTTQVWlJppKnk7BlryzXRmlP5hxX/F5TgdXbMeVdNynXL53Jx9CiO3pVgs1Vz3/PdayirrCjEAACAASURBVLo3MjLidB7IwYMHGR8fP/byQERkQlVXikg3cDfwuXINdR9ET/JA3CJxWzrVeSD5XM77Qk2nmGpvJZtJc8ep60LJ3LDcN7Dtd8zngajqKPBveHno5lm3bl3cJYRG4rZ0qvNAUs3N5JuEIy0pUGVvV1tomRuW+wa2/Vxyi/M6kI8APTG+f2QMDQ3FXUJoWHU757p7eNX1vwj1ParzQDq3Po2OzcfTlG7mYBrGT9kUWuaG1b75WPZzyS3SYyCqurLi//uBFRWPr6qx/OZICguZdDrYA6AuYdktbGrlgXQ9bRNb39IX+nUg1vtm2c8ltyQPJAIqc6StYdktCuLKA7HeN8t+LrkltzKJgOFhu9dMWnazjPW+WfZzyS0ZQCLApb8Ygsaym2Ws982yn0tuyQASAblcLu4SQsOym2Ws982yn0tuyQASAVNT1ddL2sGym2Ws982yn0tuyUH0CHDpvO2gser29jNOoJAvxF1GaFjtm49lP5fcki2QCHDpvO2gsep23kk9nNaZjbuM0LDaNx/Lfi65JVsgEdDS0hJ3CaGRuC2OuPI/qrHcN7Dt55Jb5AOIiGzAuyPvs/C2gL4GXAm8ENihqq8sL/d+4HnA76hqQ/8p2NHREXcJoWHV7Zb7h8lOl7iwN7jXrJX/kR0a5tHrb+bQD+/j5A+9K9RBZM+ePdxwww3s3buX9evX8/rXvz6Uq9xdwOp6CW65RboLS7wora8AN6nqicAWYCXwN1XLvQd4EXB+ow8eACMjI3GXEBpW3T5256N86scHAn3N6vyPyV/1M7VvkFI+z8SD/Tx+462Bvl8le/bsYdeuXYyOjtLb28vQ0FBoWSMuYHW9BLfcot4CeSkwraqfA1DVoohsBx4B/gtARP4c+G3gt1TVndMNlkFXV1fcJYRGGG7LySdZLHNnidwCQGZ3cJE01fkfAKXDR8hlR1nRXWDkC3ezpe2ywN6vkt1fytM1oRyXFxgB+eXx5ApFrr7kj7ls06mhvKdPHPkayWcuGqIeQE4GZv3JU84H2Qs8A2+rYyuwTVUnar1AI+aBTE1N1X2v/zjyQJaTXwAwOTkZqJOf0VBvHshyciZAa2ZnVKyhgeWBZKvyP1o7i2THUzOPs+Ne3XPlecx6/UXmgfQPl1jf5S0jQKlYItPUxND0BLlcNtTcloGBgcizMx5//HE2bdrUcJ+ner4jBgcHOXTo0DGZB/J2YJOqvqNq+r3AZ4A3AF3Au1X1xlqvkeSBuIVVt3OuuweA2y49PbDXrM7/8EllWsls6KV1XQ/bvlgrqHP57Nixg9HR0ZmrmCcmJigWi6FkjbiA1fUSju08kJ8DswREpBM4AXgY2I+3++pqEXlJxLWFhkvnbQeNZbegqc7/ELzBo3Vtz6z5YdDX18f4+DhjY2OUSiVyuVxoWSMuYHm9dMkt6gHkO8AKEXkDgIik8HJBPg8cAVDVB4ELgX8WkdMiri8UXDpvO2gsuwVNdf5H+4mbyWzopSmdZuWWzay/6NzQ3nvbtm3s3LmT7u5uBgcHyWQyoWWNuIDl9dIlt6jzQFRELgA+KSJ/hTeAfR34C+AFFcv9r4j8IXCziLxEVR+Oss6gaWtri7uE0LDsFjS18j+ivA5k27ZtMwPG/v37Wbt2bajvFyeW10uX3CK/DkRVHwVeVWPWHeUff7nbgI3RVBUumUwm7hJCw6rbbZeezvj4eOCvG1f+RzVW++Zj2c8lt+RWJhHgn61kkcStMbHsBrb9XHJLBpAIWL16ddwlhEbi1phYdgPbfi65JQNIBBw+fDjuEkLDqttlX72f7V9/JO4yQsNq33ws+7nkltxMMQJcCoAJGqtuD42YuAnCnFjtm49lP5fcki2QCHDpvO2gsexmGet9s+znklsygESAS+dtB41lN8tY75tlP5fckl1YEeDSaXdBY9ktaFzJAgH7fbPs55JbHHkg64Br8LI+skA/8GdAGvh7YAPe/d6+CLxfo7xZV0i4FAATNJbdgiSOLJDK/I+NGzfS19c3cyGh9b5Z9nPJLY48kK8Cd6jq01X1WXhXoa8FbgY+qKpbgFPxAqbCubd1xIyNjcVdQmhYdguSqLNAqvM/RkdHZ+V/WO+bZT+X3KLeAnkJkFfVT/kTVPVeEXkT8N/lq89R1SMicgXelenXRlxj4PT09MRdQmgE7RZlFohPrUyQV6XfCiiZ3ecF8h5RZ4FU539M//IEcoX8TP5HqVTksaZUYO83F3FkgUDymYuKqAeQU6jKAylTKyfkYRFZKSKdqjpzT4lGzAOZnJwklUqZzAMplUq0tbUF5pTLZevOmQgiDySdTqOqR2VrXLni4zOhHkHkgdSTBVKZPbLcPBA//6M8CaVERpoYnDqMaolsLke6uRkRKed9hJMHMjw8HEt2xr59+3jqU5/acJ+ner4j9u7dy4oVK47JPJC3AU9V1e1V068GHlHVj1dNPwRsVNWZK2eSPBC3SNzqI+oskOr8D/B2ffj5H5b7Bsl6WQsreSC17h9dKyfkacBE5eDRqLh03nbQWHV7cPgIE+lVCy9YJ1FngVTnf4yNjc3K/7DaNx/Lfi65RT2A3A60isib/Qki8jzgV8AZIvKy8rQM8HEgnHi2iHHpvO2gsep2xU0PBHork6izQKrzP7q7u2flf1jtm49lP5fc4soDuUZE3g1M8+RpvK8G/l5ErgVSwPXAJ6KsLyza29vjLiE0LLsFSRxZIJX5H9VY75tlP5fc4sgDeRy4eI7ZZ0VYSmSkUuGf7RIXlt2CxpUsELDfN8t+LrkltzKJgDCCiVzBsptlrPfNsp9LbskAEgFr1qyJu4TQsOxmGet9s+znklsygETA6Oho3CWEhmU3y1jvm2U/l9ySASQCDNzOa04su1nGet8s+7nkltyNNwJc2uQMGqtunzh/K7lsduEFGxSrffOx7OeSW7IFEgH79++Pu4TQsOq2pWcFHQV3DlYGjdW++Vj2c8kt2QKJgDDvRRM3iVt9uJQFArb7Brb9XHKLZQARkfcAlwBFoAS8BfhboBcvI6QF+Dbwl6r6RBw1JhzbXP39vWSz07z7ZauX/VpzZYE88I838O1Pfo7b1rdw/FM3zcrrSEhoBCLfhSUiLwBeCTxXVZ8DvAx4tDz7deVpz8EbSP4j6vrCYGJiIu4SQsOq260PjHB7/2Qgr1UrC+Rw/6Psf3yQ1pHDbMs2H5XXETZW++Zj2c8ltzi2QHqBYVXNAqjqMID496v2puVE5J3AQyJyqqr+JIY6l0VlrkVJSzwmNg83nf3mW+FHsvCCDcctAGR2r1/2K9XKAilkYaWUyEqBtQ8Nsz81SOqIsvv93+WMS9LLfs+FOAltmL5959OvWPRzGvEzV292ytq1a0OupH7iGEBuA94rIg/i7ab6sqp+t3ohVS2KyE+Ak4CZAaRR8kBUS14ORVMTpWIRESnXXEK1VJG50BR6JkOQ2Rm+U1NTE8VCoZxLoQtnYywiO2PR85eZnTHX88uvsmyn6RpZINOjKVLlHQAt+WZA6cwo/cM6855BOx1dszZEn3K5bM11b77PUy6Xo7W1taE+TwMDA3XlgfT397Ny5cpjLw9k5k1FUsCZeAmFbwHeDbwR2KGqP65Y7j+AL6nql/1pjZgHsm/fPjZs2BB3GaFg1e2c6+4B4LZLT1/2a9XKAsnncuSbhGxHG9lMmntevHVWXkfYWO2bj2W/pbpZyAMBvK0LVb1DVd8HXAH8bvUy5UHm2cAvo64vaLq7u+MuITQsuwVFrSyQ5vYMk2mhWChyoHfVUXkdYWO9b5b9XHKL4yD6VhE5sWLSacBA1TJpYBfwqKreF2V9YXDw4MG4SwgNy25BUSsLpGPzCaxd30t2dQd7WgtH5XWEjfW+WfZzyS2OYyAr8XI/jgMKwEPAHwM3Av8iIlmgFe/4yKtjqC9wOjs74y4hNKy6PWN1hmKxGMhrzZUFcsLLf4eXXHQufxjDdSBW++Zj2c8ltzjyQPYAtfI7z4q4lMgI6ovIRay6ffKCkxgeHg7s9VzKAgG7ffOx7OeSW2Od59agTE4Gcz2BiyRujYllN7Dt55JbMoBEwLp16+IuITQSt8bEshvY9nPJLRlAImBoaCjuEkLDqts5193Dq67/RdxlhIbVvvlY9nPJLRlAIiCdDv/K4riw7GYZ632z7OeSWzKARMCqVaviLiE0LLtZxnrfLPu55JYMIBEQ5Nk8rmHZzTLW+2bZzyW3JA8kAlz6iyFoLLsFhWtZIGC/b5b9XHKLfAARkTuAXar6zYppfwX0ATlgIzBW/hlW1ZdFXWPQ5HK5uEsIDctuy2HPnj3ccMMNPPbIAOc8nuOEVBsrVrQDXhbIo9ffzKEf3sfJH3pXLIOI9b5Z9nPJLY5dWDcAr62adh7wFlU9DbgZuFJVT7MweABMTU3FXUJoWHZbKnv27GHXrl2Mjo6yLdtM68hh9j8+yOH+R5n8VT9T+wYp5fNMPNjP4zfeGkuN1vtm2c8ltzh2Yd0IvF9EWlU1KyKbgfXAnTHUEglRn7ddmUUSNhpQ7sLZb/5GANUEx5WZVwBKZvc3F1y2mt1fytM1oRyXF9Y+1EtzsZnWbDOF6RwtKSgdPkIuO8qK7gIjX7ibLW2XBS+wAGHmgSwlvyNoFrte1pvF4QIuXQcSx61MRkTkR8Ar8BIHX4uXCVLXfeUbJQ/En9/W1sbY2Bitra113et/bGyMfD6/6Hv9Vzrl8rkI80CUpqbUsjNOFHUqD+RVLbfOvPFi80D6h0us7/KW8bI+IKVNlNTLAsmOp2ayQbLj3u8/Cqeo8kBKpVIk616QeSDT09OxfkdkMhkOHTpU13fEI488QkdHxzGdB/L7wHmq2ici9wJ/pKp3l+d9Hviaqt5Y67mNmAcyODhIb29v3GWEQuJ2NDt27GB0dJRVq1Zx+vceoHUqT+vhadIlJd3SAnj3xsps6KV1XQ/bvvh3QZe+IJb7Brb9lupmJg8EuAk4W0SeC2T8wcMqHR0dcZcQGlbdbrl/mLv2l5b03L6+PsbHxxkbG+NA7yqKhSKTaaG5PYPgDR6ta3uAJ7NCosZq33ws+7nkFleg1ARwB/BZvIPqphkZGYm7hNCw6vaxOx/lUz8+sKTnbtu2jZ07d9Ld3c2e1gLZ1R2sXd9Lx+YTaD9xM5kNvTSl06zcspn1F50bcOX1YbVvPpb9XHKL8zqQG4CvcPQZWebo6uqKu4TQsOy2HLZt2zYTDuXidSDW+2bZzyW32AYQVf0q3vG46ulvjL6acJmamnIqBCZILLsFhWtZIGC/b5b9XHJLbmUSAdPT03GXEBqW3SxjvW+W/VxySwaQCHDpvO2gsexmGet9s+znklsygESAS/fvDxrLbpax3jfLfi65JQNIBLS1tcVdQmhYdrOM9b5Z9nPJLbkbbwRkMpm4SwgNq263XXo64+PjcZcRGlb75mPZzyW3ZAskAg4dOhR3CaGRuDUmlt3Atp9LbskAEgGrV6+Ou4TQSNwaE8tuYNvPJbdId2GJd/e2f1bV15cfNwODwA9V9ZUishb4DHACkAb6VfW3o6wxDA4fPhzqDc3ixKrbZV+9n3w+z6cvfvayXsfFiwjBbt98LPu55Bb1MZBJ4BQRyajqFPBy4LGK+X8NfEtVPwYgIs+JuL5QcCkAJmisuj00svzMheJUlp9f+bdMPNg/M22xYVJ+MNXevXvZuHEjfX19M1e4LwerffOx7OeSWxy7sG7FC5ACL4Ww8l5YvcA+/4Gq3hdhXaHh0nnbQWPZbbk8fuOtTDzYTymfZ2rf4KLDpCqDqXp7exkdHWXXrl3s2bNn2bVZ75tlP5fc4jgL61+B94rI14Dn4N1Q8czyvGuBL4vIFcC3gc+p6uMx1BgoQ0NDbNq0Ke4yQmEhtyjDreqh/uCqWwDI7F6/5Pca+cJTaBpLMT3aTCnn3bVnMWFSlcFUjMBqIHVE2f3+73LGJelF1VId8pTLZWlpiWcXWhThTcfyZy5K4giUuq+cQtgHfL1q3jdF5Gl4YVPnAveIyCmqetBfphEDpQAGBgYiC5SKMgBHRBgcHJzTqVQq1h3q09zcTCGfpymVAqBULNKcTlMolOcHEJLlhzctFL5UsVYuOlDKnz897nn44VHVYVLe/DlevxxMdXw5mMovqSOj9A8rqrqoQCmvD0+GL/mhT4sN/gqiT5OTk6GHL01OTjI5Odlwn6d6viOmp6cZGBg49gKlRGRCVVeKyHuBtwNn4f1htUNVX1lj+a/hbYX8uz+tEQOlnnjiCY477ri4ywgFq27nXHcP4F0PslT2vOGdZIeGmdo3SHEqOzO93jCpymAqn7GxMbq7u/nwhz+85LrAbt98LPst1c1SoNRngb9W1Z9WThSRl4rIivL/O4CnA3tjqC9QxsbG4i4hNCy7LRc/LKp1bQ+pTOuiw6Qqg6lKpRJjY2OMj4/T19e37Nqs982yn0tucQVK7fPPtKpiG/BjEbkPuAu4TlX/N9rqgqenpyfuEkLDqtu5W1fz8qevWnjBeVh/0bms3LKZpnSazIbeRYdJVQZTDQ4O0t3dzc6dOwM5C8tq33ws+7nkFukxEFU9amecqt6Bl06Iqn4I+FCUNUXB2NgY7e3tcZcRClbdtp+5kccfX975G6lMKyd/6F3Lug6kMpgqSKz2zceyn0tuyb2wIiCfz8ddQmgkbvPjYpgU2O4b2PZzyS0ZQCLApfO2g8aq24PDR8inl7cLy2Ws9s3Hsp9Lbsm9sCLApfv3B41VtytueoDtX38k7jJCw2rffCz7ueSWDCAR4Mr+yjCw7GYZ632z7OeSWzKARECqfMGVRSy7WcZ63yz7ueSWDCARYDmYyLKbZaz3zbKfS27JABIBa9asibuE0LDsZhnrfbPs55JbLAOIiExU/P+3ReRXIvIGEblLxLsrkIikROReEZn/ct0GYHR0NO4SQsOyWxAUp7I8ev1N7HnDO7nrFW9izxveyaPX3zTr1iZxYL1vlv1ccov1NF4RORv4e+AcVX1YRH4beBNwHfBW4H9V9Qdx1hgEUd5vLGosuy2XIPJAwuK+++7jmmuuCTxnxBUsr5cuucW2C0tEzgQ+DZynqg+XJ28HdorIycAVwLviqi9IXNrkDBqrbp84fysfPXfzsl5juXkgYbFnzx6uu+66UHJGXMHqegluucW1BdIK/Adwlqre709U1UERuQbvPlhvU1V3ttWWwf79+525f3/QROkWRbaInxdyKpRv/S7zP2EelpsHshiq8z7m45MDPyGXm2I63cZ0eVqukOfqS/6YyzadWvM5UWR4BEnymYuGuAaQPPADvN1Vb6+ady3wQVX9fK0nNmIeSFNTk9k8kFQqNW8eSJBOfobFcvJACoUCqeZmSqUSWjm/qYmmpqq8ECDOPJBaGSVzzS+WinM6FQuF8ufFywPZn52kqylNSUsIUFJlRaqJoekJcrlszTyQI0eOOLfuzfd5mpqaMpsHksvljs08kJk39Q6iPwUvdfBrqvqB6vm1brwIjZkHMjIywurVq+MuIxSsul39/b1ks9O8+2Vblvway80DCYsdO3YwODjIU57ylJlpQeWMuILV9RKW7mYpDwRVPQK8EnidiLwprjqiYGJiYuGFGhSrbrc+MMLt/ZPLeo3l5oGERV9fH2NjY6HkjLiC1fUS3HKL9TqQ8jGOVwB/KSKvjrOWMFm7dm3cJYSGZbflstw8kLDYtm0b73nPe0LJGXEFy+ulS26xHAOp3D2lqo8CT51rvgUOHjzICSecEHcZoWDZbbkEkQcSFhs2bDCzu6oWltdLl9yS27lHwHLO5HEdy25B4GoeiPW+WfZzyS25lUkEdHd3x11CaFh2s4z1vln2c8ktGUAi4ODBg3GXEBqW3SxjvW+W/VxyS3ZhRUBnZ2fcJYSGVbdnrM5QLBbjLiM0rPbNx7KfS27JABIBlr+IrLp98oKTGB4ejruM0LDaNx/Lfi65JbuwImBycnnXE7hM4taYWHYD234uuSUDSASsW7cu7hJCI3FrTCy7gW0/l9zivBvvnJdTishPROSGKOsJk6GhobhLCA2rbudcdw+vuv4Xi36eq/kf1Vjtm49lP5fcnDsGIiLPxBvYXiwi7arqzvbaEkmn03GXEBqW3RZLmPkfe/bs4YYbbggsv8N63yz7ueTm4i6sS4DrgduA34m5lkBYtWpV3CWEhmW3xRJW/seePXvYtWtXoPkd1vtm2c8lN+e2QIDXAC8HtuKFSjX8rqzh4WHa29vjLiMUluIWRa7HXPh5HwtzCwCZ3evrfu2w8j92fylP14RyXF5gBFYDqSPK7vd/lzMu8f4aXUweCEAul6WlJZhbqbiYFZJ85qLBqQFERJ4HHFTVARHZB3xWRLpU9ZC/TCPmgaTTabN5IC0tLYvOAykUCjM5E83NaQrFAgDNzc0U8nmaUl6ORqlYpDmdplAoz081LzsPZFbexwLZGx7154FkF8j/yI6njsobqSfvo3+4xPFdfjXetI6M0j+sM/UtJg8knU5TUqVQ8H5vXh+8z5Oq1swDma9PAwMDzmVnTE9Pm80DKRQKx3YeCNTO/BCRjwJ/ABwuT+oG3qGq1/nLNGIeyIEDB2ZlL1jCqts5190DwG2Xnl73c8LK/9ixYwejo6Ozdl0sN7/Dat98LPst1c1UHkg1ItIE/B7wHFXdrKqbgVcDDR9SMDU1FXcJoWHZbbGElf/R19fH+Ph4oPkd1vtm2c8ltzh3Ya0o76by+SjwmKo+VjHte8CzRKRXVQejLS84XDpvO2isur39jBMo5AuLes76i87l0A/vY+LBfjIbemfNW07+x7Zt29i5c+ess7Auv/zyZZ2FZbVvPpb9XHKLbQBR1VpbPx+tWqYI9NZYrqEYGhpi06ZNcZcRClbdzjuph4GBgUU9J8z8j23btgUa+GS1bz6W/Vxyc+ogulVaWlriLiE0ErfZuJr/UY3lvoFtP5fcnDkGYpmOjo64SwgNq2633D/MXftLcZcRGlb75mPZzyW3ZACJgJGRkbhLCA2rbh+781E+9eMDcZcRGlb75mPZzyW3ZACJgK6urrhLCA3Lbpax3jfLfi65JQNIBLh02l3QWHazjPW+WfZzyS0ZQCJgeno67hJCw7KbZaz3zbKfS27JABIBLp23HTSW3SxjvW+W/VxySwaQCHDp/v1BY9mtXholA6QS632z7OeSW+TXgYjIWuBq4P8Ch4Ac8Heq+tXy/I8BFwEnqKqJ8yjb2triLiE0LLvVQ5gZIEFTmSmyZs0a/uiP/ijQixNdwvJ66ZJbpFsgIiLATcD3VPVpqroNeC2woTy/CbgAeBR4cZS1hUkmk4m7hNCw6nbbpadz48VPX3C5sDJAgqY6U2R8fHzZmSIuY3W9BLfcot4CeSmQU9VP+RNUdQD4+/LDlwA/A76MdxPFOyKuLxQOHTpEZ2dn3GWEQlxuQWeK1MoJaVNFZt/b/SjCygBZbL7HQnzlOd10dnbO3NHXjxm44YYbTG6FJJ+5aIh6ADkZuHue+X14AVL/AXxARNKqmq9coBHzQNra2szmgWQymUXngQThVCgUlpQHUigUSDU3H5WdoeisbI4nQw7mzwNZTAbIUc9n7jyQXC67bKfKPJBf//rX9PT0MDExQSaTmckAefjhhxkYGGjIdW++z1MulzObB1IqlY7NPBAReRvwVFXdXn58LXAG3nGQFwH9wFZVPSwiXwE+o6q3VL5GI+aBDA4O0tvb8PeErIlVt8u+ej/5fJ5PX/zseZcLKwMkaKozRY4cOUI+n19WpojLWF0vYeluFvJAfg4813+gqpcDZwNrgFcAq4Cfikg/3sDS8FkgALlcLu4SQsOq20MjUwyML3w797AyQIImjEwRl7G6XoJbblEPILcDbSLypxXTVpT/7QMurQiTeipwjoisoMFx6bztoLHsVg/rLzqXlVs205ROk9nQS/uJm8ls6KUpnV5WBkjQ+Jki3d3dDA4Osn79enbu3Gny+AfYXi9dcov0GIiqqoicD1wtIu8EDgKTwPvwTu19S8WykyJyJ/AqvIPqDYtL9+8PGstu9RBmBkjQVGaKDAwMmO6b5fXSJbfIrwMpJwu+tsasL9RY9sLwKwofl067CxrLbvXSKBkglVjvm2U/l9ySK9EjwKUAmKCx7GYZ632z7OeSWzKARMDY2FjcJYSGZTfLWO+bZT+X3JJI2wjo6emJu4TQsOp27tbVFAoLn4XVqFjtm49lP5fcki2QCHDpL4agseq2/cyNvG6rO/ccChqrffOx7OeSWzKAREA+n194oQYlcWtMLLuBbT+X3JJdWBHg0nnbQWPV7cHhI+TTq+IuIzSs9s3Hsp9LbskWSAS4dP/+oLHqdsVND7D964/Mu0wj5oD4WO2bj2U/l9xi2QIRkQuArwDPVNX7ReRy4M1VdZ0MPEtVfxlHjUHS3t4edwmhYdltPpabA1KZzbFx40b6+voivSrcet8s+7nkFtcWSB9wJ+ULClX1WlU9zf8Bbgb+xcLgAZBKpeIuITQsu83HcnJAqrM5RkdHI8/msN43y34uucWRSLgS7867L8EbKK6qmv9i4GIqbrrY6IyPj9PV1RV3GaGwXLegcz3mo1bmx9x4N4HO7F5fc+5yckB2fylP14RyXF5gBFYDqSPK7vd/lzMuSR+1fNDZIODdLr6l5egtpBfe9tnA3ysOks9cNMSxC+t84Buq+qCIjIrIc1X1bgAROQ74HPAGVR2v9eRGzAPJZDJm80Da29uXlQdSKpUoFL3rLZqbmynk8zSV/8IqFYs0p9Mz12M0p5opFPLlbAwWnQdSme3h53mIeBkcyNHZHB6180CmF8gBmR5PHZUx4j+/f7jE+i6vBvHKoDOj9A/rTHZIZU25XHbZeSDe56WEqjdfVSkUvN+bnw1SLBaXlDPhYnZGPp83mweiqsdmHgiAiNwCXKOq3yrng5ygqleW590APKiq75vr+Y2YHVlQnAAAIABJREFUB7Jv3z42bNgQdxmhYNXtnOvuAbxo21osJwekOpsDvHP7o8zmsNo3H8t+S3Vr+DwQEVmNF2t7XTnz40rgNeLxB8Bm4P9FWVMURD1IR4llt/lYTg6IC9kc1vtm2c8lt6h3YV0EfFFVZ27bLiLfBV4M/A3wYlU1d/+INWvWxF1CaFh1+8T5W8ll5z4dd/1F53Loh/cx8WA/mQ2z0+EWygHxszkqz8K6/PLLIz0Ly2rffCz7ueQW9QDSB3ywatq/A28E2oGvyOwd0G9V1e9HU1p47N+/35n79weNVbctPSsYGDgI1D5YudwckMpsjjiw2jcfy34uuUUdKHVWjWkfL//3D6OsJUrCPIgVN8eyWyPmgPhY7hvY9nPJLbkSPSGhBld/fy+fvmck7jISEpwmGUAiYGJiIu4SQsOq260PjHB7/2TcZYSG1b75WPZzyS0ZQCJg7dq1cZcQGpbdLGO9b5b9XHJLBpAIOHjwYNwlhIZlN8tY75tlP5fckgEkAqrOLDOFZTfLWO+bZT+X3JIBJAK6u7vjLiE0LLtZxnrfLPu55JYMIBHg0iZn0Fh2W4hGzgOx3jfLfi65RXodSPlWJt8pP1wHFAH/t3Eq8FFV/fPysjuAlap6VZQ1hkFnZ2fcJYSGVbdnrM5QLBbnnL/cPJBK4sgGsdo3H8t+LrlFugWiqiMVmR+fAq6ueJwFLhSRnihrioL5vogaHatun7zgJP7mrLnPdllOHkglcWWDWO2bj2U/l9xcykQvAP8EbAfeE3MtgTI5OUlPj7lxEQjGLapMkMXlgcAG1TkPWC4nD6SSerJBosgDsZID4pN85qLBpQEE4FrgPhGpfR9sGjMPpL293WweSEdHx7LyQNasWUMunwPcygN58n6nweeBVL6+nw3y5LtVZIOUnx9KHgjMygOxlp1h0cn/PInIsZsHMvPGIlcBE6r64fLjCVVdKSJ/DeSBKWocA2nEPJCBgQFnbn4WNFbdwswDqSSubBCrffOx7LdUt4bPA6mTa4A34d2d1wTp9NExpVaw7DYfy8kDqSSubBDrfbPs55KbcwOIqo4C/4Y3iJig8q9La1h2m4/1F53Lyi2baUqnyWzopf3EzWQ29NKUTi+YB1KJnw3S3d3N4OAg3d3d7Ny5M/SzsKz3zbKfS26uHQPx+QhwRdxFBMXw8DDt7WY2qGZh2W0+lpsHUkkc2SDW+2bZzyW32AaQ6mMbqrqy4v/7gRVR1xQWLv3FEDSW3RaikfNArPfNsp9Lbs7twrJILpeLu4TQsOxmGet9s+znklsygETA1NRU3CWEhmU3y1jvm2U/l9xcPQZiinXr1sVdQmhYdXv7GSdQyBfiLiM0rPbNx7KfS27JFkgEDA0NxV1CaFh1O++kHk7rdP+miEvFat98LPu55JYMIBHQ0tISdwmhkbg1JpbdwLafS27JABIBHR0dcZcQGlbdbrl/mLv2l+IuIzSs9s3Hsp9LbskxkAgYGRkJ9X40cWLV7WN3PgrAhacdX3N+cSobyDUgcWG1bz6W/Vxyi30AqbgH1mbgEeBtqvr35XmfAH6sqp+Pr8Ll09XVtfBCDYplt7kIMgukkihzQaz3zbKfS26u7cI6ALxdRNzZyRcALp12FzSW3eYiqCyQSqLOBbHeN8t+LrnFvgVSxUHgv4E/AD4dcy2BMT09HXcJoRGmW1g5IfXlgtwCQGb3+qPmBJUFUomfCzJ530b832iukOfqS/6YyzaduqjXqkV13ofldRJs+7nk5toAAvBB4FYRqZlwk+SBuOEUZB7IXE65XDbQPBA/OwN0wTyQJzk6DyS7QBZItpwFAke/ZnUeiD+/f7jE8V0wXirS1NREqVQiI8L+7EQgeSATExOz1r1isciBAwcaet1L8kCO4TyQmQJmHwP5mqqeIiJfBL4FPJ+qYyBJHohbWHWbLw8kqCyQSqLOBbHaNx/LfkkeyMJ8AHgX7ta3KNra2uIuITQsu81FUFkglUSdC2K9b5b9XHJz8gtaVe8HfgG8Mu5agiCTycRdQmhYdbvt0tO58eKn15wXVBZIJVHngljtm49lP5fcXDwG4vM3wD1xFxEEhw4dorOzM+4yQuFYdAsyC6SSKHNBLPcNbPu55Bb7AOLngKhqP3BKxfSf4OgW0mJZvXp13CWExrHq1shZIGC7b2DbzyU3E1/QrnP48OG4SwgNq26XffV+tn/9kbjLCA2rffOx7OeSW+xbIMcCLgXABI1Vt4dG3LlYKwys9s3Hsp9LbskWSAS4dP/+oLHsZhnrfbPs55JbMoBEgEv37w8ay26Wsd43y34uuSUDSAS4dNpd0Fh2s4z1vln2c8ktGUAiwKUAmKCx7GYZ632z7OeSW3IQPQLGxsY47rjj4i4jFCy7zUWjZ4GA/b5Z9nPJLfIBREQ2ANcCz8LbAvoacCXwQuA/gF8DGbz7Yu2Iur4w6OnpibuE0LDqdu7W1TM3caxksVkgUWZ8LAarffOx7OeSW6S7sEREgK8AN6nqicAWYCXeVecA31fV04HTgVeKyIuirC8sxsbG4i4hNKy6bT9zI6/bevQ9hxaTBRJ1xsdisNo3H8t+LrlFvQXyUmBaVT8HoKpFEdmOl0T4X/5CqjolIvcCtfNEG4x8Ph93CaGxWLewMj7mor7sj9o8TRWZfW/3RWWB+Bkfx+UFRmA1kDqi7H7/dznjknTddXzn069YssNc5HJZ+ltq726rzg5pRJLPXDREPYCcDMz680tVx0VkL/AMf5qIdAEnAt+rfoEkD8QNp6XmgeRyWZqaUohAsVikuTlNoVjO+2huppDP05Ty8jZKxeKy80D8PI/qvI+F8kDuLz4DFE5qfmhWnsf0Alkg3nwvDcTP+Ci/PAAdGaV/WBfOC6moKYg8EO/zUkLVm69AoeD93rw+eJ8nVSWbzTbEupfkgRxjeSAi8nZgk6q+o2r6vcBngPcDA8BW4IOq+r7q10jyQNzCqttceSCLyQKJOuNjMVjtm49lv2M5D+TnwCwBEekETgAexjsG8hzg2cCfishpEdcXCu3t7XGXEBqW3WqxmCyQqDM+FoP1vln2c8kt6gHkO8AKEXkDgIikgI8AnweO+Aup6oPALrxQqYYnVd4lYxHLbrVYTBZI1Bkfi8F63yz7ueQW6TEQVVURuQD4pIj8Fd4A9nXgL4AXVC3+KWCHiDxVVRv6tqjj4+N0dXXFXUYoWHarxWKzQKLM+FgM1vtm2c8lt8ivA1HVR4FX1Zh1R/nHX24KI2dhrVmzJu4SQsOy21w0ehYI2O+bZT+X3JJbmUTA6Oho3CWEhmU3y1jvm2U/l9ySASQCojzTLWosu1nGet8s+7nkltwLKwJc2uQMGqtunzh/K7lsduEFGxSrffOx7OeSW7IFEgH79++Pu4TQsOq2pWcFHYXxuMsIDat987Hs55JbMoBEQJhXgsZN4taYWHYD234uuSUDSEJCDa7+/l4+fc9I3GUkJDhNMoBEwMTERNwlhIZVt1sfGOH2/sm4ywgNq33zseznklskB9FF5GpgQFWvKT/+JvCoql5afvwR4B3ASar6QMXzrgEeV9W/i6LOsFi7dm3cJYSGZbdKLIRIVWK9b5b9XHKLagvkB3iBUYhIE9CDd2denxcC3wBe608oL3cR8OWIagyNgwcPxl1CaFh28/FDpB69/mayQ8NoSTn06wHu2nUt//D883jnn213IuNjMVjvm2U/l9yiGkD+m/IAgjdw/Aw4LCJdItIKPBPvvlevrXjOi4F+VR2IqMbQqM6UsIRlN5/qEKnxB37N4f7HKOULrMlD588GnAmKqhfrfbPs55JbJLuwVPVxESmIyEa8geQuvNuUvAAYA+5T1ftEpCQip6rqT/AGkxuiqC9suru74y4BCCfMqVQqsbcpuL9DlhMAFSy3AJDZvf6oEKliEdIKqakc060FNu07wIA8vuigqDBZKIQq6L4thTCDq1z5zIWBS25RXkjob4W8EPgo3gDyQrwB5AflZW4AXisiPwdeDby3+kUaMVBqbGyM1tbW2AOlVEvzhi8tJahIVWlqSs0EFeXzeZqammoGFT05f+5AKVU9Olyp3Pt6wpfqnb9QoNST6FEhUpNNBVaUmmkqeV/ALflmOv2gqHL9C9YcslMul503UCqbnSadTi+5T0EEfz3xxBOhhS/t3buXpz/96SYDpR555BE6OjqOrUApEbkcLyjqDOB5wCpgNzAOfFZV/1NEng7cBlwObFfV36p+nUYMlDp06JAzd88MGqtul331forFIv940clHhUjlczlv0E2nmGpvJZtJc8ep65wIiqoXq33zsey3VLdGD5T6b+CVwKiqFlV1FDgObzfWXQCq+jAwAnwQI7uvwPsLzipW3T55wUn8zVne2S7VIVKp5mbyTcKRlhSosrerzZmgqHqx2jcfy34uuUU5gPwU7+yr/6maNqaqwxXTbgBOAr4aYW2hMjlp93qCY8GtOkSqc+vT6Nh8PE3pZg6mYfyUTc4ERdWL5b6BbT+X3CLNRA+CRtyFlc1maW1tvGsF6uFYcbN2HYjlvoFtv6W6hbELK7kbbwQMDQ2xadOmuMsIBatu51x3DwC3XXo6YCNEqhKrffOx7OeSW3IrkwhIp904tTMMLLtZxnrfLPu55JYMIBGwatWquEsIDctulrHeN8t+LrklA0gEDA8PL7xQg2LZzTLW+2bZzyW3ZACJAJf+Yggay26Wsd43y34uuSUDSATkcrm4SwgNy26Wsd43y34uuSUDSARMTU3FXUJoWHazjPW+WfZzyS2y03hFRIGPquqflx/vAFaq6lUichXwPuBEVX2oPH873j2znqeqP46qzjBYt25d3CWEhlW3t59xAoV8YeaxtetArPbNx7KfS25RboFkgQtFpGeO+T9l9u3cLwJ+EXpVETA0NBR3CaFh1e28k3o4rTML1M4DyQ4N8+j1N/O9N72Td/7Zdi6++GJ27NjRMLd0t9o3H8t+LrlFOYAUgH8Cts8x/ya8O/AiIk/Du0uvO8kpy6ClpSXuEkLjWHCrzgOZ/FW/9+/4OPt+dC+dPxugt7eX0dHRhskFsdw3sO3nklvUV6JfC9wnIrUiaseBR0XkFLyB5MvAH0ZZXFh0dHTEXcKSqCc/pFQq8khTKoJqos0KuTn3CkB5Wss3j8oDASgdPsLU+AjN6QKb9h1irP37rAZSR/5/9t48PM67vPf+3LNIGm2OJXmNtxCICQmQVC1t8iY0lBMghRbSpudE9IRylQDnAKUEnFC3PZBy6DGQQOC8QCllC2kxJXlJSAHThENDA8lhEQlZCnZILNmO5UWSMyPJ0qz3+8fMKCNZsmekZ/k9t+dzXb6seZ5Z7o/vZ/zTs/2+GlguyKkyP06G133zM9tjKUT1O1cPLrkFOoCoakZEvgy8E1joTNBXKR/GeiXwchYYQJp5IME55XLZOvNAns2ZWG4eyMlyJkADywO5afrPAPj9lu+ckAfS2l0km4kjxRjxFojlE1QTPrqquSCVx37mgeTz+bpzW07MA8l6mgcyMzPjVHaG5TyQoaGh0zIPZFJVO0WkB/gZ8MXK51dPok9S3kP5JfBTVf1DEbkP2FZ7Ej2KkylmMhm6u7vDLsMXrLrVzoU1Pw+kykypwGRrgkJXGw+9dCsA6XQ6ErkgVvtWxbLfUt2ingcCQCUH5GvAmxZYN005G/1vg67LT1y67M5rLLtVmZ8HIpQnV0ytW02xVGTfyjZKpRLpdDoyuSDW+2bZzyW3sGbj/SjwjoVWqOpXA67Fd2ZmZsIuwTcsu1VZf9UVHPvRI0zuGSK1Yd2cdRuecyaPro4xcvBpNm3axNvf/vZI5IJY75tlP5fcAhtAVLWz5ufDQHvN4xsXec1lvhcWAC5dt+01lt2qxFOtnHfTexe9D+RlzftAnMOyn0tuzTyQAHBp/n6vsexWSzMPJFpY9nPJrTmVSQC0tbWFXYJvWHazjPW+WfZzya25BxIAqVQq7BJ8w6rbPddeSCaTCbsM37DatyqW/Vxya+6BBMCxY8fCLsE3mm7RxLIb2PZzya05gARAb29v2CX4RtMtmlh2A9t+Lrk1B5AAmJiYCLsE37Dq9rY7f8l1394bdhm+YbVvVSz7ueTWPAcSAC4FwHiNVbdfjblzs5YfWO1bFct+LrkFnQfyj6p6TeVxAhgBfqSqr6l53jeA1ap6UVC1+Y1L1217jWU3sJcDUsV63yz7ueQW5CGsKeB8EaleQnA58HTtE0TkDODXgDNE5KwAa/MVl+bv9xrLbol8bjYH5NhTw+zft49fPPAjHtzxKf79TTfMmRcraljuG9j2c8kt6HMgu4BXV34eAHbOW/+HwL/w7Ky8JnDpsjuvsex27sM/ZnLPEFOZDBNDT9OePk5XTinlCxz48cM8+NG/D7vEJWO5b2DbzyW3oM+BfBV4n4h8E3gR8AXg0pr1A8DfAIeBO4AdAdfnCy4FwHiNn2715JE0QmN5It/iObsfIzb1c6ZH4iSLMUQgUSjSXioxlSww9E+f4/KtH6r7HZeT37EQy8ngsLxNgm0/l9yCzgN5RES2UB4ovl27TkTWAM8FfqCqKiIFETlfVR+rfV5U80DS6XTk8kDqyS+ovtYPp1wuOycPJBFPUCjkicfjqJZDkWazL0SIx+PlbIx4HFWlVJuNITFq80ROlQcC0DGRgRhIZfDIJgu05hPESjFiAoXj8TnvCSfP+ygUCydknCzHaWRkZMk5E/v27SOXy0V62ztVHkgymTTlVO3TgQMHSKfTp20eyPuAPwcuA3op5328RkTeCfxPoHqXTDfwaVX969r3iWIeyNTUFB0dHWGX4QtW3W65fx9n7vgwGwrTjO7+FbF8cXaUKCViTLYmKHaluGbwWyFXujSs9q2KZb+lupnIA6F82OoDqvrovOUDwKtUdYuqbgH6MXIeJJ1Oh12Cb1h1u+7STZx7xUsASK1bTT4mgFKMxzjeEqdYKnLWla8Mt8hlYLVvVSz7ueQWRqDUAVX9RO2yymGtTcD/rXneXiAjIr8ZaIE+kM/nwy7BNyy7db7iYjrP2UJHdzddW87k+Ip2JlqEWDLBhpdcwEXveWvYJS4Zy30D234uuYWSB1Kz7D7gvsrDMxdY/2v+VhUMLl237TVW3faMHifftWpODkhHZ2fzPpCIYNnPJbfmnegB4NL8/V5j1e0dd+0GyrPyWsoBqWK1b1Us+7nk1pwLKwCsnswD226Wsd43y34uuTUHkACIx+Nhl+Ablt0sY71vlv1ccmsOIAFgOZjIsptlrPfNsp9Lbs0BJABWrVoVdgm+YdnNMtb7ZtnPJbfmABIA4+PjYZfgG5bdLGO9b5b9XHJrDiABENTd/mFg2c0y1vtm2c8lt+ZlvAHg0i6n11h1++TrtpJNZ9h/213mskDAbt+qWPZzyS2wPRARURG5reZxQkSOVmbmRUTeWHn8kIg8ISL/KiIXB1Wfnxw+fDjsEnzDqtvZHXEmP3gL+2+7m+yhUaYmJ3nypw/x/b+5hS//zn/mpw88GHaJy8Jq36pY9nPJzalAKeCfVfVCVX0e8CHg6yJyboA1+oKfs2GGjVW3g3fsIr9vhFI+z8TQfqafOkDLxAwt8QStYxPcecMHGBwcDLvMJWO1b1Us+7nkFvQhrGqg1B08Gyh16UJPVNV/E5HPAm8BrguswiaB4nXmBzSa+7EwP/rCb5LIzND9zDiFaUEUksUisaksM60Fzj5c4PYPvopLXp9c8md4nQ9SZTk5IU2aNIJrgVLz+RkwZ8a6qOaBTE5Oms0Dqf5ZilOpVKJQrGRjJBIU8nlilRullpqdUU3j0JPkfZwqD2Qy0wbaSkf+GCWFfLJAa6GcBQLQUYozNFqikTyQ+etz+dyyM07i8Vh5fSJBqVRCSyWy2ewpcyaefvppisVipLe9k32fnn766dnvnhWnap9GRkaYnJw8bfNAfgp8CngecA/P5oG8Efh1VX1HzWuuBN6iqldUl0UxD2RmZoa2trawy/AFq26fuuytdGTSbJxJM5OeKF/5IkIpEWO6o5XJhPCLV7yIm2++OexSl4TVvlWx7LdUNyt5IHcDN3NiHvpCXAj8wt9y/Ofo0aNhl+AbVt2e2no+AK1r+kh0pFCgEBNm2pIUC0We6o4zMDAQbpHLwGrfqlj2c8ktjMt4vwCkVfVREblssSeJyG9TPv/xsqAK8wupHr8wiFW3X1zwEs4cfpJYKUPXlo0cPz7F+Pg4uVyO/KozuPIjf0F/f3/YZS4Zq32rYtnPJbfABxBVPQB8YpHV/0VELgHagb3AH6pq5PdAenp6wi7BN6y6FZItfPe1A/xR5whH7n0AOSKsfM5mM/eBWO1bFct+Lrk5Eyilql8CvhRUPUFy9OhRZ+bv9xrLboVki8ksELDdN7Dt55Jb8070AOju7g67BN+w6vbc3hTFYjHsMnzDat+qWPZzya05gASA5f+IrLp9+srnMzo6GnYZvmG1b1Us+7nk1pxMMQCmpqbCLsE3mm7RxLIb2PZzya05gATA2rVrwy7BN5pu0cSyG9j2c8mtOYAEwKFDh8IuwTesur3icw/xe7f9R9hl+IbVvlWx7OeSW3MACYBkcunzJbmOZTfLWO+bZT+X3Jon0QNgxYoVYZfgG1bdEvkc5z78Ywb/fae5LBCw27cqlv1ccgtkABGRW4BhVf145fG/AvtV9drK448CT6vqx0TkOmAHsEZV00HU5zejo6N0dHSEXYYvWHQrTmf5T9/YSc+RQ2T72gHIHhpl/21386td/8au1TGGDj7Npk2bGBgYiOQd6Rb7VotlP5fcgjqE9QBwMYCIxIA+4Lya9RcDP6z8PAD8BLgyoNp8x6XfGLzGotvBO3bRc+QQ8WKB6QMjTD0xVP47k+HAjx+m+7Fh1q1bx/j4ODt27IhkLojFvtVi2c8lt6AOYf0QuKXy83nAY8A6EVkJHAfOBR4SkbOBTuB64C8xcmd6LpcLuwTfWK6bi3kgY7euBp5Px0SaUn4CgNLEcaYzYySSBTYfOEa64356gfhx5fYPfr+hXBAXckAsb5Ng288lt0AGEFU9KCIFEdlEeW/jQeBM4CIgDTyiqjkRqYZM3Q9sFZHVqnqk9r2imgcyPT1tNg+kWCyaygPJZsqfn8jnAWjtLpLNxJFijFgLtOQTaOUzulPK0Kie+JmV7XWhPJCSlhp2qicP5PDhww3lTACR3vZO9n2q1m/JqdqnI0eOzHn/0yUP5J+AfwGuAD5GeQC5mPIA0quqfyEijwFXquoTIvIx4ElV/VTt+0QxDySbzdLaGv0Trwth0W3wDTdwZOgQHDpMvDKIAMyUCky2Jih0tfHQS7cCkE6n6enpiVwuiMW+1WLZb6luUc8DqZ4HeSHlQ1j/l/IeyMXAD0XkRZRDpu4VkSHgasrnQyKPS9dte41Ft9WXX8yKtgRtq1cST7UiQDzVSmrdaoqlIvtWtlEqlUin02QymUjmgljsWy2W/VxyC3IA+SHwGmBcVYuqOg6cQXkQeZDyYHGjqm6p/FkPnCkibkw7uQxaWlrCLsE3LLqtv+oKOs/ZQiyZJLVhHR3P21L+u7ubDS+5gMz5mxkZGaGnp4ft27dH8iosi32rxbKfS25B3gfyKOWrr74yb1mnqo6KyNWUD2/VciflPZEPB1OiP3R1dYVdgm9YdIunWtn/5jdR+Na9bPjlf5xwH8jLDNwHYrFvtVj2c8ktyDyQItA9b9kba34+a4HXvNv/yvxnbGzM1xNZYWLV7RM/OQKrX8w9f/nGsEvxBat9q2LZzyW35lQmAbBy5cqwS/ANy26Wsd43y34uuTUHkACYnp4OuwTfsOxmGet9s+znkltzAAmAmZmZsEvwDctulrHeN8t+Lrk1B5AAcGn+fq+x7GYZ632z7OeSW3MACQCXrtv2GstulrHeN8t+Lrk1B5AAaGtrC7sE37DsZhnrfbPs55JbMw8kAFKpVNgl+IZVt11//AKevO1OBt9gMw/Eat+qWPZzyS3QAUREipRvHkwCBeBW4OOqWqqsfwlwM7CG8nx0PwDeqarHg6zTa44dO0Z3d/epnxhBou42ODjIzp072bdv32y+xwUvOJ/Hr/8w44/tpqWlPFhU80CO/egRzrvpvZEfRKLet1Nh2c8lt6D3QKZV9QIAEVlN+a70FcD7RWQNcDtwtao+KCIC/CHQRXnK98jS29sbdgm+EWW3wcFBduzYQXd395x8j3dd8FJie4aIKUwfGKE0nSWWaqV1TR+Te4Y4eMcuNl7zurDLXxZR7ls9WPZzyS20Q1iqekRE3gL8RERuBN4O3KqqD1bWK3BHWPV5ycTExJw7R/3IwAiDl7/5O7ShCBJ2KUvi9q/kWTmpnJEXGGM232Pon/aQaH8OqWMZ2vPl311KE8fJZcdp7ykwduvPOKftbeEWv0wW6ptfOSVhcNatf+vM3dpeM///kzAJ9RyIqj5VSShcDZxP+ZDWSYliHkh1fv9n5/rPzmY6xGIxRIRisTjrpKo16+OIUFmf9Dw7o56ciVKphNauj8WIxWJUowBUdE62Rm32xULZGwuuZ+HsjLrWL5D3car1CgyNljhz5dz370opejzOTKqN9vwzwLN5IMV8+Y2zmXg5D8RBp8UyTuavRwGZm2GSz+cis+0VC4XK96WEaumE71P1+2wxD2RsbGzO+tMiDwRARCZVtXPesmeArcDfUd4D+cbJ3qOZB+IWUXbbtm0b4+PjcyJC0+k0L/v5YYraRfczY3RqcXZdPNVKasM6Wtf20f/lj4RRsmdEuW/1YNnvdM0DOQEReQ5QBI4AjwPRmxe7Dly6bttrouw2MDBAJpMhnU7Pyfc468pXAjDVtWJOHkjrmj6gnBcSdaLct3qw7OeSW2gDiIisAj4DfLJyvuOTwJ+IyG/WPOe/iog7t10uEZcuu/OaKLv19/ezfft2enp65uR7XPSetzK+ei3FeGJOHkgsmaRX9E+yAAAgAElEQVTznC2sv2p+6kD0iHLf6sGyn0tuQZ8DSYnIwzx7Ge9tlONtUdXDlUyQmytXaJWAfwe+HnCNnuNSAIzXRN2tv79/wUCo7752gHMf/jEvnN5v8j6QqPftVFj2c8kt0AFEVeOnWP8gcGlA5QRGOp3mjDPOCLsMX7DqVki28OhvXEL/tReGXYovWO1bFct+Lrk170QPgL6+vrBL8A2rblds7Z29qsgiVvtWxbKfS27NubACIJ1Oh12Cb1h1u+7STfzxVnfmHPIaq32rYtnPJbfmABIA+Xw+7BJ8o+kWTSy7gW0/l9yah7ACwKX5+73Gqtue0ePkkytO/cSIYrVvVSz7ueTW3AMJAJeu2/Yaq27vuGs31317b9hl+IbVvlWx7OeSW8MDiIhsFJHf8qMYq3R0dIRdgm9YdrOM9b5Z9nPJre5DWCKyCdgJXEB5Jp1OEbkKeJWqXutTfSaIx0969XKksehWnM7ywp/8gOfsfowH7yiYuwcEbPatFst+Lrk1sgfy98C3KE+vXj2Lcy9web1vICIbROQbIvKEiDwpIp8QkRYRuUxEvjnvuV+qDFCRJ5PJhF2Cb1hyGxwc5IZ3Xcff/ear2Xrv10mNHkJLOpsF8vj1H6Y4nQ27TE+w1LeFsOznklsjA8hLgA9Vwp/KE3uqpinneZySSr7H14G7VPV5wDlAJ/C3DVUcQVatWhV2Cb5hxW02G+SxYVblIVYs0jV+lMzup8qZIPn8bBaIBaz0bTEs+7nk1shVWIeB5wJ7qgtE5AXAvjpf/zvAjKp+EUBViyJyHbAX+LcG6ogc4+PjtLe3h12GLwTpttwclZe/+TuLrqtmg2w+sB7JJzij0E5SoZifIT4x03AWyHKzNS6+5wvLev2psLxNgm0/l9waGUBuBr4pIjuAhIgMAH8JfKjO158HDNYuUNWMiOyjPDBdWpknq8omYM5hLYhmHsj09DTDw8N1zfUftfyCfD7PyMhIIE6lUmlZOROgi2ZnVLNBWvLlr0SyEqgxFSvQQmI2C2QmEy+/z7zXz8/ryOVzwNKzM4aHh33NmTh27BgtLS2R3vZO9n06duwYK1euNOVU26disRi9PBAReR3wFmAz5T2Pv1fVu+p87Z8Dm1X13fOWPwx8Hnilqr6mZvmXgG+q6pxUwijmgczMzNDWZvOuZitu1WyQy35+iNbpPK2TWeKFIjERki0tprJAwE7fFsOy31LdQs0DEZHfVNW7VPV3VfU8Vb1CVe8SkZfU+RaPA3OKF5FuYCPwZP0lR4/Dhw+HXYJvWHGrZoPsW9kGqsy0xinEIJ5ImMsCATt9WwzLfi65NXIS/d5Fli9+YHku/wdoF5E3AIhIHPgo8CXgeAN1RA5X8ov9wIpbNRskc/5mjiYhlkzQvnEd3VufYy4LBOz0bTEs+7nkdspzIJXMcin/KFL5ucrZlHM9TomqqohcCXxaRP4H5cHr25TPo1zUaOFNmnhNNRukOJ3lyzv+Cf3JT+nWrMn7QJo08YJ6TqIXqJxz5MTBokQDl+Gq6n7g9xZYdV/lT+1z31jv+7rO5OQkvb29YZfhCxbd4qlWdm66EDZdyD1G80As9q0Wy34uudUzgJxFea/j+8BLa5YrcFRVp/0ozBJr1qwJuwTfsOxmGet9s+znktspz4Go6rCqDqnq5srP1T/7moNHfRw9ejTsEnzDsptlrPfNsp9Lbg1N5y4ivw/8NtBHzbkQVX2Dx3WZQkRO/aSIYtnNMtb7ZtnPJbdGLuN9P+X5sGLAHwFjwCuBZ/wpzQ49PT1hl+Ablt0sY71vlv1ccmvkMt4/BS5X1euAXOXv3wO2+FGYJVza5fQay26Wsd43y34uuTVyCOsMVX2s8nNORJKq+mMR+W0/CrNEd3d32CX4hlW35/amKBaLYZfhG1b7VsWyn0tujQwgT4rIear6OPAY8N9F5BhwzJ/S7GD5PyKrbp++8vmMjo6GXYZvWO1bFct+Lrk1MoD8NVC9+PgvgK9Qno797Y18oIgo8DFVfU/l8TagU1VvrDx+A3ADlZsXgS+o6s2NfIZrTE1N0dfXF3YZvmDNrTid5eAduzhy7wNMHBiha8M6kzcRWuvbfCz7ueRW9wCiqt+u+fnHlGfQXQpZ4A9EZIeqzvkVT0SuAN4FvEJVD4pIG3DNEj/HGdauXRt2Cb5hxW1wcJB/vu0f2fS9R1ldKM++mkqlZsOkjv3oEc676b1mBhErfVsMy34uuTVyFdb4IsuPNPiZBeCzwHULrNsObFPVgwCqOqOq/9Dg+zvHoUOHwi7BNyy4zQ+TKuULHHtqP2O/sBkmBTb6djIs+7nk1sghrOT8BSKSBJYS0Psp4BERmT8v9vnMywyxQDJ5wj+dGfxyW254VC0nC5KCE8OkUtkEqgm0VKQ0cazhMClYfqBULX6ES1neJsG2n0tu9UymeD/laUvaROTf563eADzQ6IdWgqS+DLwTaOhu9igGSsXjcbOBUu3t7b4EShWKhbrDl04VKKWqIOUTagsFSg2NllhfEyYVK8UoImQE2mE2TCqbKb/vQoFUXgdK1ToNDw97HlR0/Phxjhw5Eult72Tfp+PHjzM1NWXKqdqnXC7H8PBwNAKlRORPKj9+BvhvNauUcszt91Q1X/cHikyqaqeI9AA/A75YqePGymD1flX93mKvj2Kg1PDwMJs3bw67DF+w4DY/TCo1lUVzBRAh1dpqLkwKbPTtZFj2W6pbWIFSj1E+rHShqt4K7KJ8B/p7gCuBJZ1VVNVx4GvAm2oW7wA+IiJrAUSkVUTeuZT3d4kVK1aEXYJvWHCbHyZ1vCVOTkBicZNhUmCjbyfDsp9LbvUMIB8H1qrqLyuPPws8r/L3+cByfiX7KOV5tYDZK70+BXxXRB6nPHA1NF+Xi+RyubBL8A0LbguFSU30rGJ89XqTYVJgo28nw7KfS271/Od8LnA/gIicAbwaOE9V94jI3ZTPgdR3ZhFQ1c6anw9TPsxcu/6LlA9rmWF62u6kxVbcasOkDt6xi7s/v4uOiQyta/tM3gdipW+LYdnPJbd6BpAEUB3yfgsYUdU9UA6IqgwqTU6CS9dte401t3iqlY3XvI4tv3EJhXyB/hfa8qtirW/zseznkls9h7Aepzz7LsDVwHerK0TkTCDtQ12mcOm6ba+x6vbq5/dxQXc27DJ8w2rfqlj2c8mtnj2Q9wL/IiKfAYrAJTXr/gvwQz8Ks0RLS0vYJfhG0y2aWHYD234uuZ1yAFHVH4jIJuAcYI+qTtSs/hbwVb+Ks0JXV1fYJfiGVbdv/XKU7EyJP1gXdiX+YLVvVSz7ueRW11QmqjqhqoPzBg9UdXd12pEmizM2NhZ2Cb5h1e0TP9jPZ37a6Cw90cFq36pY9nPJrZFAqSZLZOXKlWGX4BuW3SxjvW+W/Vxyaw4gAeDSZXdeY9nNMtb7ZtnPJbdQbtKrTmdS+fl3gU8ALwdSlHPXz6B8h/v9qvqWMGr0kpmZmbBL8A1rbtX7QF77j+X7QAb/faPJ+0Cs9W0+lv1ccgv1Lm8ReTnw/1LO/9gnIv8K3KKq36isf2GY9XmFS9dte40lt+J0lsev/zCTe4ZIjY6RO57hFw8c5MmfPsSqXf/GSz//ETODiKW+LYRlP5fcQjuEJSKXAv8AvFpVn6wsXgccqD5HVR8Nozavcem6ba+x5Hbwjl1M7hliKpOha/woa6azdOWUUr7AgR8/zIMf/fuwS/QMS31bCMt+LrmFtQfSCnwDuKxmji2AW4DvicgDwD3AF1X1mTAK9JK2trawS6ibRnM48oU8Tye8zyc4VYaHH4zduppYOs70SJwWTQBCopCjvVRiKllg6J8+x+VbPxRoTV7mitTSaN/8yCTxkyh95xrFJbewBpA85Tm03gT8eXWhqn6xchjrVcBrgbeKyItVdfaW4CjmgZRKpcjkgeRyWURixOOxcrZGIkGpVEIr2Rr5fB6JxYjFYhQLBSQWI5/Po/rs+lgshohQLBZn+6SqNevjiFBZn6RQrGRjzMnO0LnZHczN86DmZ1VOyPs41fr5eR5IOe8DQIoxYlIilyyQyCeIlWLEBQrH688DOWXNdTqVSsUFM07KeSH196nch9Jsn4rFIgJ19+n48ePOfJ/qzc7o7OwM/fvkRx7I1NRUdPJAfPlQkUlgNeVpUb6pqv9rkec9BvyJqs6mFDbzQNzCktvgG24ge2iU0d2/IpYvlv93RyglYky2Jih2pbhm8Fthl+kJlvq2EJb9opYH4guqehx4DfDHIvImABF5VSUml0omSC/wdFg1ekVvb2/YJfiGJbdq3kdq3WryMUEVivEYx1viFEtFzrrylSFX6B2W+rYQlv1ccgv1PpBKqNSrgL8WkdcCrwAeE5GfA/8KXK+q7pwxWiITExOnflJEseS2/qor6DxnCx3d3Uz1ruJIqoWJFiGWTLDhJRdw0XveGnaJnmGpbwth2c8lt1DOgczLBNkPnFV5+A3g3WHU5CcuBcB4jSW3eKqV8256Lwfv2MVDn99FR6KNc8+zeR+Ipb4thGU/l9win/YXBVy6bttrrLlV80C+kS0fY77n2gtDrsgfrPVtPpb9XHJrTmUSAC5dt+01lt0sY71vlv1ccmsOIAGQSqXCLsE3LLtZxnrfLPu55NYcQALApQAYr7HsZhnrfbPs55JbcwAJgHTabuqvZTfLWO+bZT+X3Jon0QOgr68v7BJ8w6rbFVt7KRQKYZfhG1b7VsWyn0tuzT2QAHDpNwavsep23aWb+OOt7sw55DVW+1bFsp9LbqHtgYiIAv+oqtdUHieAEeBHqvoaEXkj8Ouq+o6wavSKfD4fdgm+Yc2tmgdy5N4HmDgwwsiGdSbvA7HWt/lY9nPJLcxDWFPA+SKSUtVp4HIMTFuyEC5dt+01UXMbHBxk586d7Nu3j02bNjEwMEB/fz8wNw9kplBCVcgeGmX/bXdz7EePcN5N7zUziEStb41i2c8lt7APYe0CXl35eQDYGWItvuHSddteEyW3wcFBduzYwfj4OOvWrWN8fJwdO3YwOFieq7OaB1LK53lm6GmmfrWP6QMjlPJ5JvcMcfCOXSEbeEeU+rYULPu55Bb2SfSvAu8TkW8CLwK+AFwabkne09HREXYJvuGVW6M5JPUwP1Pk9q/kWTmpnJEXGCvP1Bk/rtz+we9zyeuTs3kgM+MJkvnytfaliWPksuO09xQYu/VnnNP2tro/348sD69yOSxvk2DbzyW3UAcQVX1ERLZQ3vv4dj2viWIeSKFQiEweSKP5BclkkpGRkWU75fK5eXkgUCoWSSSTs1dDJeIJCoV8JRujnJXxbDaGEI/H52RnzGZ3VLI1hkZLrF9Z2fYq21N3ShkaVRSdzQMp5svhHFOdXbRNzsw+zmYaywPxw6k2B2I5ORNjY2OUSqVIb3sn+z6NjY2RSqVMOVX79Mwzz8z5/NMuDwTKmSCq2iki76McKnUZ5V8Kt53sJHozD8QtouS2bds2xsfHWbFixeyydDpNT08PN99882weyPSBEY5PTAPQmogRT7WS2rCO1rV99H/5I2GV7ylR6ttSsOzXzAOZyxeAD1jJP1+IVatWhV2Cb0TJbWBggEwmQzqdplQqkU6nyWQyDAwMAM/mgbSu6SOfTKKUJ1dsXdM3Z70FotS3pWDZzyW30AcQVT2gqp8Iuw4/GR8fD7sE34iSW39/P9u3b6enp4eRkRF6enrYvn377FVY1TyQWDJJ5oxexletJbVhHbFkks5ztrD+qitCNvCOKPVtKVj2c8kttHMgtZkgNcvuA+6r/Pwl4EtB1uQXYR0mDIKoufX3988OGPM5IQ9kIkPr2j6T94FErW+NYtnPJbewr8I6LXBpl9NrrLlV80Auv+IV5LJZzj9zZdgl+YK1vs3Hsp9LbqEfwjodOHz4cNgl+IZVt3P62ukqZMIuwzes9q2KZT+X3JoDSAD4eRld2DTdoollN7Dt55JbcwBp0mQBbrl/H//w0FjYZTRp4jTNASQAJicnwy7BN6y67do9xveGpsIuwzes9q2KZT+X3JoDSACsWbMm7BJ8w7KbZaz3zbKfS27NASQAjh49GnYJvmHZzTLW+2bZzyW35mW8ASDViZIMYs2tmgfy2n8s3wcy+O8bTd4HYq1v87Hs55Jb6ANIdU6smsfXATuANarqTvTWMujp6Qm7BN+w5PbTBx7k0fd8iOTRZ0iWYpTau83mgVjq20JY9nPJzcVDWAPAT4Arwy7EK1za5fQaK26Dg4PcecMHaB2boCWeYGU2R+/YUSaG9pvMA7HSt8Ww7OeSW+h7ILWIyNlAJ3A98JcYmcqku7s77BJ84YFX/CnFYoGn48FsRvPzPbzk9q/kOefwOhKlBG3ZBGjZqTA5QW5fZkl5II3gR3bIyTj3nz8a6OcFjdXvHLjl5tQAwrOphPcDW0VktaoeqX1CFPNAstksmUzGXB5ILpcFEUqlPKql2RyLWCyGiFAsFmf7pKo16+OIUFmfpFCsZGOcIjsDdOHsjUreh7BINscC6+fneQyNlriwVP7cWCmGUCKbLCD5xJLzQOAkNc1bXywW6soDKZVKNetjxOOx8vpEglKphNauj8WIxWIUC4VKH0qzfTp06BD5fD6y296psjOq72XJqdqno0ePkslkTu88kNkCas6BiMhjwJWq+oSIfAx4UlU/Vfv8Zh6IW1hx27ZtG+fe8widBSU1lSVWKKGqxERoW9HVzAOJGJb9mnkgCyAiLwKeB9wrIkPA1ZT3SCLP2rVrwy7BN6y4DQwM8FR3nGKhyExbkkKsvMuQ6EiZzAOx0rfFsOznkpszAwjlweJGVd1S+bMeOFNEIv9rxKFDh8IuwTesuPX393PlR95HtreLXLHAkWSCoz19dG3ZaDIPxErfFsOyn0tuLp0DuRqY/w29s7L8w8GX4x3JZDLsEnzDktuvX3wRF37vaxy8Yxd3f34XLYbzQCz1bSEs+7nkFvoAUj3/oapnLbDu3cFX5D21GdzWsOZWzQP5Rra843vPtReGXJE/WOvbfCz7ueTm0iEss4yOjoZdgm9YdrOM9b5Z9nPJrTmABIBLvzF4jWU3y1jvm2U/l9yaA0gA5HK5sEvwDctulrHeN8t+Lrk1B5AAmJ6eDrsE37DsZhnrfbPs55Jb6CfRTwdcum7ba6y6/fklGynkC6d+YkSx2rcqlv1ccmvugQSAS9dte41Vt1c/v48LurNhl+EbVvtWxbKfS27NPZAAaGlpCbsE37DkVs0COXLvA+SOjKHdHcR+73fM3QMCtvq2EJb9XHILZQARkbXAx4HfALLAEPAuVd1jMQ+kq6sr7BJ8ww+3wcFBdu7cyb59+9i0aRMDAwP09/d7/jm1FKezPH79h5ncMwRAeqZAaWocDGaBgO1tEmz7ueQW+CEsKcdp3Qncp6pnq+oLKE/dXg36NZcHMjY2FnYJvuG12+DgIDt27GB8fJx169YxPj7Ojh07GBwc9PRz5nPwjl1M7hmilM8zfWCE/N59ZJ8+bDILBGxvk2DbzyW3MPZAXgbkVfUz1QWq+jDYzQNZuXJl2CX4htduO3fupLu7e/Za9+rfO3furHsv5IFX/Gldz6vNFxm7dTWxdJyZ8QSlnCC0kcznye3bc0IWSL3ZHRff84W6nhcGlrdJsO3nklsYA8j5wGK/TprMA5menq57rv+o5RcATE1Neea0e/du1q9fz8zMDIVCgVQqRSwWY8+ePRw/frwup3K2Rh3ZGdVsD4WZTDkLpJr9MdXZRcfkxJwskGoeSalUrCvjZP/+/c70af62d+DAAfr6+iK97Z3s+3Tw4EE2b95syqnap5GREY4dO3Z65oGIyDuBs1T1ugXWNfNAIobXbtu2bWN8fHzO3bbpdJqenh5uvvlmzz5nPoNvuIHsoVGmD4xQnM6SLZQAaO9KmcsCAdvbJNj2O93zQB4HTjgW0cwDiSZeuw0MDJDJZEin05RKJdLpNJlMhoEBfzeFatZH65o+4qlWFMgnkyazQMD2Ngm2/VxyC2MA+R7QKiJvri4Qkd8APkEzDyRyeO3W39/P9u3b6enpYWRkhJ6eHrZv3+77VVjrr7qCznO2EEsmSW1Yx/iqtWTO6DWZBQK2t0mw7eeSW+DnQFRVReRK4OMi8hfADOXLeC8D/vu8p5vIA2lrawu7BN/ww62/v9/3AWM+8VQr59303tn7QBjbz1RXNxuvucLkfSCWt0mw7eeSWyj3gajqQeA/1/E8E3kgqVQq7BJ8w5JbNQtk4zWvox/IZDJ0d3eHXZYvWOrbQlj2c8mtOZVJAFSvVrJI0y2aWHYD234uuTUHkADo7e0NuwTfaLpFE8tuYNvPJbfmABIAExMTYZfgG1bd3nbnL7nu23vDLsM3rPatimU/l9yakykGgEsBMF5j1e1XY+5kLviB1b5VseznkltzDyQAXLpu22ssu1nGet8s+7nk1hxAAsCl67a9xrKbZaz3zbKfS27NQ1gB4NJld15jya02D+T1j5fvA9nfavM+EEt9WwjLfi65BT6AiEgv8H8qD9cCReAo0EV5j6hfVcdFZCXwM+AyVR0Ouk4vcSkAxmtcd6s3W2R+HgiqdGTS7DeaB+J635aLZT+X3AI/hKWqY6p6gapeAHwGuKXy+Gzg74APVZ76IeCzUR88oDwZoFVcdmskW2R+HkjP0UN0PzNmNg/E5b55gWU/l9xcO4R1CzAoIu8CLgH+LOR6PKGvry/sEnwjbLeTZX98evjn5PI5ZhJJZoAzz91P/Lhy+we/zyWvT8557vw8kARJEvnignkg86k3HwTcyQgJu29+Y9nPJTenBhBVzYvI9cB3gFeo6gnXq0UxD2Rqaop4PG4yD6RUKtHW1haak2qpkvchxOPxct5HPI6qMjI9warWdoqlIoIASldKGRpVFAVl0TyQzu4Zspn4gnkgIqAw+/pcLrtgHghAIpGgkM8Ti5fff3h42Imcib1797J69epIb3sn+z4dOHCAs846y5RTtU/79u2jvb399MwDmfPhIjcCk6p6c82yj1OeJ+smVb1l/muaeSBu4bJbI9ki8/NAAFRLJNqbeSBRxLLf6Z4HsigicgFwOfBbwHUisi7kkjzBpeu2vcZlt0ayRRbKA5G2tmYeSESx7OeSmzMDiIgI5ZPo71LVfcBNgH8RdAHi0nXbXuOyWyPZIvPzQEZWruZg+xnNPJCIYtnPJTeXzoG8GdinqvdWHn8aeKOI/Laqfj/EupZNR0dH2CX4hutu9WaLnG55IK73bblY9nPJLdQBRFVvrPn5s8Bnax4XWSD6NorEKydQLWLJrTYPZPvnHgLg7ddcGHJV/mCpbwth2c8lN2cOYVkmk8mEXYJvWHazjPW+WfZzya05gATAqlWrwi7BNyy7WcZ63yz7ueTWHEACYHx8POwSfMOym2Ws982yn0tuzQEkAMK818ZvLLtZxnrfLPu55ObSVVhmcWmX02usun3ydVvJZbNhl+EbVvtWxbKfS27NPZAAOHz4cNgl+IZVt3P62ukquHOy0mus9q2KZT+X3Jp7IAHg51w0YWPFrTYLJHdkjJbVvbRf9GKKb1xr7h4QsNO3xbDs55JbGHkgCnxMVd9TebwN6AQeAP4GuFhVVUTiwCDwNlV9IOg6mwRPvdkdXnNCFgiw71cH0ScOkH/8SXNZIE2aeEUYh7CywB+IyJw5iVX1HmAYeFNl0Z8BP7EweExOToZdgm945dZIdofXzM8CmXpiCD10mKnjOZNZIGB7mwTbfi65hXEIq0D5jvPrgL+at+464Aci8iDwDuAlAdfmC2vWrAm7BN/wym3nzp10d3fPzpxb/Xvnzp0n3Qs5WR7IQrz8zd85Ydn8LBCAJG10TKSJtexdNAukkRwQcCcLBGxvk2DbzyW3sM6BfAp4RETmzI+tqiOV6dwfBN6pqidc8BzFPJBMJkNLS4vJPJB8Pk9HR8eynXbv3s3mzZuZnJwkkShvlrFYjKGhIfbv37+kPJBSqUQymaysjxGPx1DVE/I85meBtHYXmclAIp8Hquu1so0+mweSy2Vn37+ePJCxsTFnciaeeOIJ1qxZE+lt72Tfp/379/Oc5zzHlFO1T0NDQ3R2dp6eeSAiMqmqnSLyASAPTAOd1XmxRCQGTKjqgjOGRTEP5MCBA2zYsCHsMnzBK7dGsju8ZqEskGyhRD6ZZO1zN5rLAgHb2yTY9luqm7U8kI9TPt8xZ6BQ1RLVX/eM0NPTE3YJvuGVWyPZHV4zPwtEgHwyyVTXijnrLWF5mwTbfi65hTaAVA5PfY1nT5qb5ejRo2GX4BteuTWS3eE187NAOp63hcwZvRTjCZNZIGB7mwTbfi65hX0fyEcpnyw3TXd3d9gl+IaXbvVmd3jN/CyQ3JEx6O1h5LwXct6OPzV5Ca/lbRJs+7nkFvgAoqqdNT8fBtpP9hwLFIvFsEvwDStutVkgABcBo6OjJgcPsNO3xbDs55JbcyqTAJiamgq7BN9oukUTy25g288lt+YAEgBr164NuwTfaLpFE8tuYNvPJbfmABIAhw4dCrsE37Dq9orPPcTv3fYfYZfhG1b7VsWyn0tuzQEkAJLJZNgl+IZlN8tY75tlP5fcmgNIANTeHGcNy26Wsd43y34uuTUHkAAYHR0NuwTfsOxmGet9s+znkltzAAkAl35j8BrLbpax3jfLfi65hXojoYgUgUdrFr0O2AJsU9XXhFKUD+RyubBL8A0rbvMDpV47k+CpredT/OMXmLwXxErfFsOyn0tuYd+JPq2qF9QuEJEt4ZTiH9PT02GX4Bt+uwURMrVQoFRHJs0Lf/JDHr/+mMlAKcvbJNj2c8mteQgrAFy6bttr/HQLKmRqoUCpNVPPsLpVzAZKWd4mwbafS25h74GkROThys97VfXKUKvxiUOHDrF58+awy/AFP91OFTLlRZgULBwolSgcJ144RqxQMBkoZXmbBNt+LrmFPYCccAjrVKvrZNkAACAASURBVEQxUKpUKjE8PGwyUEpVGRkZ8cWpNmRKRGhtbSUWi/Hkk08yOjo6J9CpnkAp0DmBUCcLlMpm4rOPLQZKTU5OcuTIkUhveyf7Pk1OTjI1NWXKqdqn6elphoeHT89AqTkfXgmXmrfsMk5yEj2KgVKTk5O+NjFM/HQLKmRqoUCpYkmhtYUVW840GShleZsE235LdbMWKHXaMDY2FnYJvuGnW1AhUwsFSk3HE4ymuuast4TlbRJs+7nk5uoA8nIROVDz56KwC1oOK1euDLsE3/DTLaiQqdMxUMryNgm2/VxyC/UcyEK5H6p6H5AKvhr/mJ6edioExkv8dgsiZGqhQKmp7hU8tfV8rrnpLeYu4QXb2yTY9nPJLeyT6KcFMzMzYZfgG1bc5gdKvf9zD80ut4iVvi2GZT+X3Fw9hGUKl67b9hrLbpax3jfLfi65NQeQAHBp/n6vsexmGet9s+znkltzAAmAtra2sEvwDctulrHeN8t+Lrk1z4EEQCpl6pqAOVh1u+faC8lkMmGX4RtW+1bFsp9Lbs09kAA4duxY2CX4RtMtmlh2A9t+Lrk1B5AA6O3tDbsE32i6RRPLbmDbzyW3QAcQEblPRF45b9m7ROTTlZ+vE5EZEXEnMcUDJiYmwi7BN6y4Faez7L/tLgbfcAMPvupNfOnyt/G//+rW2alNrGGlb4th2c8lt6DPgewErgb+tWbZ1cD1lZ8HgJ8AVwJfCrQyH3EpAMZrXHVrJEdkoTwQxsZZf//9PH79mMk8EFf75hWW/VxyC/oQ1h3Aa0SkFWbDo9YDPxCRs4FO4K8pDyRmcOm6ba9x0a3RHJGF8kC6nxkjXiw080AiimU/l9wC3QNR1TER+THwKuAblPc+/llVVUQGKO+h3A9sFZHVqnokyPr8wqX5+73GS7dG8z0W4+6Of2HlpHJGXmAMeoH4ceX2D36fS16fPOH5C+WBJGmjYyJNrGXvonkgC9FoRshi+J0dYnmbBNt+LrmFcRlv9TBWdQCp/q9xNXClqpZE5OvAHwGfmv/iKOaBAGbzQETEszyQkpZmszMASsUiiWSSQqGSrRFPUCjkK3kfUCoVF8wDGZoucebKcmaHUP67K6UMjSqqWlceyEwGEvk8sHgeSPX11WVQzghZLA+kEafh4WFfcyampqZM54FMTU2ZzQOZmZk5ffNARKQTeIryXshOVd0qIi+ifO5jpPK0FuApVb1k/uujmAfyzDPPcMYZZ4Rdhi+46NZojshCeSDZQol8Msna5240mQfiYt+8xLLfUt1M5IGo6iRwH/AFynsjUD7ncaOqbqn8WQ+cKSJu7Kctk3Q6HXYJvuGiW6M5IgvlgeSTSaa6VsxZbwkX++Yllv1ccgvrPpCdwIuBr1YeXw3cOe85d1aWR56+vr6wS/ANF90azRFZKA9E1q6ho73VbB6Ii33zEst+LrmFMpWJqt5J+fB09fFZCzzn3YEW5SPpdJqOjo6wy/AFV90ayRFZKA9k03PX0/Ib5/GCa682dwkvuNs3r7Ds55Jbcy6sAMhXTsZaxIrb/DwQKF/4YHHwADt9WwzLfi65NQeQAHDpum2vseq2Z/Q4+aSpCRHmYLVvVSz7ueTWnAsrAFyav99rrLq9467dXPftvWGX4RtW+1bFsp9Lbs0BJABcOV7pB5bdLGO9b5b9XHJrDiABEK/cRGYRy26Wsd43y34uuTUHkACwHExk2c0y1vtm2c8lt+YAEgCrVq0KuwTfsOxmGet9s+znkpszV2GJyKSqdlZm6P2mqp4fckmeMT4+Tnt7e9hl+IIFt+J0ds49IC2re3lhaiO/uOAlYZfmGxb6djIs+7nk5swAYpmg5xsLkiDdGsn4qJeFskCyh0Z54eg+zhx+kuIbLzB5L4jlbRJs+7nk1jyEFQAu7XJ6TVBujWZ81MtCWSDTB0bY1Jngxdlxk1kgYHubBNt+Lrk190AC4PDhw87M3+81frrV5oN8evjn5PI5ZhJJZirLcoU8t7z+Lbxt84tPeO3L3/yduj5joSyQ0sRx4tlxOnoKjN36SF1ZIMvJAfE7+2MhLG+TYNvPJbfIDSBRzAOJxWJm80Di8bhneSDznXK57Gx2xsjMJKtaUhRLRWIiKNAmwuHsFLlcdk4eSPkyR302u6MSDCKcmOeRXSALJJuJzz7OZuKzGSIs8Prq+xcKBUSgWCw2nAcyPDwceM7E9PS06TyQ6elps3kguVzu9M0DWYx6T6JHMQ9kbGyM3t7esMvwhaDcGs34qJeFskAAcokkub5eNj9vg7ksELC9TYJtv6W6mcgDOR2ZnJwMuwTfCMqt0YyPelkoCySeauVYexeZbMlkFgjY3ibBtp9Lbq4OIFtF5EDNnz8Ku6DlsGbNmrBL8I2g3BrN+KiXhbJAUhvWUYwnGF+91mQWCNjeJsG2n0tuzpwDUdXOyt9DQDLcarzl6NGjbNy4MewyfCFIt0YyPuploSyQltW9PHpW+T6Qdxu8hBdsb5Ng288lN2cGEMuIyKmfFFEsuC2UBbL9cw+FWJH/WOjbybDs55Kbq4ewTNHT0xN2Cb5h2c0y1vtm2c8lt+YAEgBHjx4NuwTfsOxmGet9s+znklvzEFYAdHd3h12Cb1h1e25vimKxGHYZvmG1b1Us+7nk1hxAAsDyf0RW3T595fMZHR0NuwzfsNq3Kpb9XHJrHsIKgKmpqbBL8I2mWzSx7Aa2/Vxyaw4gAbB27dqwS/CNpls0sewGtv1ccmsewgqAQ4cOOTP5mddE3W2hLJDVl1/MWyfXUUi2cM+1F4Zdoi9EvW+nwrKfS26hDCAiUgQerXz+L4A/UdXjlXVXAl8HzlXVX4ZRn9ckk6bui5yDF25+5HzUw2JZIPtvu5v/FOvmu69d3jQpLmN5mwTbfi65hXUIa1pVL6hMmJgD/lvNugHgB8DVoVTmA7UTAFpjuW5+5XzUw2JZIKV8np4jhzj34R/7XkNYWN4mwbafS24uHMK6H3gRgIh0Av8P8DLgbuDG8MryjtHRUTo6OsIuwxeW67Zz5066u7tnvxTVv3fu3El/f/+cTJBGqCcPZLEskFx2HFacxXN2P0bq9vWnfJ+lZoGEkQNSxfI2Cbb9XHILdQARkQRwBVD9tr8O+I6q7hGRcRH5NVX9We1ropgHkkwmzeaBtLS0LCsPZO/evfT09DA5OUkqlWJ6eppkMsmvfvUrhoeHKWlpTnZGoZAnHo+jCqVSkWQyST6fX1IeyMwpskA6JjJz3gcWzgPJ5bLEYvGG80AOHDgQWs7EzMyM6TyQmZkZs3kghULh9M4DqTkHAuU9kPeoak5EvgV8XFXvFZF3AhtV9fra10YxD+TIkSOsXr067DJ8YblufuV81MNiWSDxVCv721Yw1b2Ct9/3977WEBaWt0mw7bdUN0t5INVzIBeo6p9VBo9e4HeAz4nIEHA98F/EpZnDlsj09HTYJfjGct38yvmoh8WyQFrX9AHw1NYFM81MYHmbBNt+Lrm5dB/IVcCXVXWzqm5R1Y3AXuCSkOtaNi5dt+01y3XzK+ejHhbLAoklk6w+/2xe+ubf972GsLC8TYJtP5fcXDiJXmUA+NC8Zf8f8HrKh7kii0vXbXuNF25+5HzUw2JZIKsvv5jfvOoKDhw5FHhNQWF5mwTbfi65hTKAVMOj5i27bIFl/zuQgnympaUl7BJ8I+puC2WBVIm628mw7Aa2/Vxyc+kQllm6urrCLsE3rLp965ejPHi4FHYZvmG1b1Us+7nk1hxAAmBsbCzsEnzDqtsnfrCfz/z0SNhl+IbVvlWx7OeSW3MACYCVK1eGXYJvWHazjPW+WfZzya05gASAS5fdeY1lN8tY75tlP5fcmgNIAMzMzIRdgm9YdrOM9b5Z9nPJrTmABIBL1217jWU3y1jvm2U/l9xcug/ELC5dt+01UXdbLA8kkS/ngVgl6n07FZb9XHILbAAREQX+UVWvqTxOACPAj1T1NZVlrwM+ALQAeeB/qOpdQdXoF21tbWGX4BuuuC0lU+R0zgNxpW9+YdnPJbcgD2FNAeeLSKry+HLg6epKEXkxcDPwWlV9PvD7wM0i8qIAa/SFVCp16idFFBfclpopcrI8kN8qZfh4fG9ABsHjQt/8xLKfS25BH8LaBbwauIPy1CU7gUsr67YB/0tV9wKo6l4R2UF5UsVrAq7TU44dO0Z3d3fYZfjCQm5LzfBohNq8j9u/kmflpHJGXmAMeoH4ceX2D36fS16/eHrbyfJA2nsKHP/aIKmV715yjUvNCWmEpWaKWN4mwbafS25BDyBfBd4nIt+kHCL1BZ4dQM6jvAdSy0+Bt9cuiGIeSFtbm9k8kFQqdUIeSKFQzucoZ2OU+6Sqs9kdS8nOgLl5ILU5HUOjJdZXLo2vRH/QnVKGRnX2eUvJA5nJJKgnD2Sx9bl8riGnU2WcqCqlUqlmfYzJyckl5UzkcjnTeSC5XM5sHkipVDr98kBEZFJVO0Xkp8CngOcB9wDbVPU1IvIQ5Wz0R2pecwHweVWdPZgdxTyQkZER1q1bF3YZvuCC21IzRU6WB3K08wyOd6/gT7/7GV9rDwsX+uYnlv2W6mYlD+RuynsaO+ctfxyYL/drwH8EUZSf5HK5sEvwDRfclpopcrI8kJmC8vjZ5wVQfTi40Dc/seznklsYA8gXgA+o6qPzlt8MbBeRLQCVv/8S+GiAtfmCS9dte40LbkvNFDlZHsj46rX84oKXBGQQPC70zU8s+7nkFvh9IKp6APjEAssfFpH3Av8iIknKl/HeoKoPB12j17h03bbXuOK2lEyRk+WBfHCyeR9IlLHs55JbYAPIIhkg9wH31Tz+OvD1oGoKCpcuu/OaqLstlgdS+NxDIVUUDFHv26mw7OeSW3MqkwBwKQDGayy7WcZ63yz7ueTWHEACIJ1Oh12Cb1h2s4z1vln2c8mtORdWAPT19YVdgm9Ydbtia+/svRoWsdq3Kpb9XHJr7oEEgEu/MXiNVbfrLt3EH291Z84hr7HatyqW/Vxyaw4gAZDP58MuwTeabtHEshvY9nPJrXkIKwBcum7ba6y67Rk9Tj654tRPjChW+1bFsp9Lbs09kAA4dOhQ2CX4RlTditNZ9t92F4NvuIEHX/UmBt9wA/tvu2t2SpN33LWb675tdzbeqPatXiz7ueQW+B6IiBSBR4EkUABuBT6uqiURuQz4BlD7zd2mqt8Nuk4v6ejoCLsE34ii208feJBH3/MhkkefoaWlhZ6eHrSk7L/tbo796BHOu+m9YZfoO1HsWyNY9nPJLYxDWNOqegGAiKwGvgKsAN5fWX9/NWDKCvHKTKwWiZrb4OAgd97wAc4by5KIJ2iZmGH6mQMUO9vpOHMtk3uGOHjHLsCNO339Imp9axTLfi65hXoORFWPiMhbgJ+IyI1h1uInmUyGlStXLvn1QeRrLJVcLktLS+sJy2vzOlzi9q/kOefwOhKlBG3ZBPFSDFUoTE6Q25ehvafA2K0/g6u/CEDq9vUhVzwXrzJGFuubHyw1s2Q5LPc75zIuuYV+El1VnxKRGLC6suhSEamd/+oPVfXJ6oMo5oGkUqll5YEUi4VlZWcsJWciHo+V1ycSlEoltHZ9LEYsFqNYKBCLxcnn86iWavI+YtTmaNSTnQFz8zoaWr9A3sdi64dGS1xYKv+bxUrlU4C5ZIFkPjGbA5LN1P6Gt/Q8ED+ccrnskvpU/r6UZvukqoHktqgyJ7siqOyMfD5vNg9EVU+/PJDZD6zkgsxb9gywFTiXSj7IYq+PYh7IgQMH2LBhQ9hl+ELU3LZt28a59zxCZ0FJTWWJFUqgiojQtqKL1IZ1tK7tY/tLy1PB33PthSFX7A9R61ujWPZbqpuVPJA5iMhzgCJwJOxa/CLoQTpIouY2MDDAU91xioUiM21JCjFBgURHitY15Tt8qzkhlola3xrFsp9LbqEewhKRVcBngE+qqkp1P90Yq1atCrsE34iaW39/P/qR9/Hoez5E6egz0NVGT08P7e3lK1s6z9nC+quu4JNTRXLZ7CneLbpErW+NYtnPJbcw9kBSIvKwiDwOfJdyrO3f1Ky/tLK++ueqEGr0lMOHD4ddgm9E0e3XL76IN3zva/z2+6/j7F+/kI7OTlrX9rHxmt/nvJveSzzVyjl97XQVMmGX6htR7FsjWPZzyS2MQKlFr0Gr5IOYu/3Xz5NYYRNVt8VyQGqJqls9WHYD234uuYV+DqRJExe55f59/MNDY2GX0aSJ0zQHkACYnJwMuwTfsOq2a/cY3xuaCrsM37DatyqW/Vxyaw4gAbBmzZqwS/ANy26Wsd43y34uuTUHkAA4evRo2CX4hmU3y1jvm2U/l9yaA0gAWL08GWy7WcZ63yz7ueTWHEACoKenJ+wSfMOym2Ws982yn0tuzQEkAFza5fSaKLqdKgvkdCCKfWsEy34uuYVyJ7qI3AIMq+rHK4//FdivqtdWHn8UeBr4U1U9P4wavaS7uzvsEnzDC7fBwUF27tzJvn372LRpEwMDA/T393tQ3YkUp7M8fv2HmdwzNLsse2h0ThZIPNXKc3tTFItFX2pwAcvbJNj2c8ktrD2QB4CLASoz8fYB59Wsvxj4YQh1+YLl/4iW6zY4OMiOHTsYHx9n3bp1jI+Ps2PHDgYHBz2qcC4H79jF5J4hSvk80wdGmHpiiOkDI5Ty+ZosEPj0lc/nby9z52oXr7G8TYJtP5fcwpoL64fALZWfzwMeA9aJyErgOOVZeY+FVJvnTE1N0dfXF3YZvlCv22KZJp8e/jm5fI6ZRJKZyrJcIc8tr38Lb9v84pO+51IyR8ZuXU0sHWdmPEEpVz4ZWZo4Ti47PpsFck7b2wDYUJmltx68yumoxc8cDcvbJNj2c8ktlAFEVQ+KSEFENlHe23gQOBO4CEgDjwC5hV4bxTyQjo6OZeWBuOhUzS/o6upiZGTklE61ORa1OROHs1OsjLdQLBWJxWKUSiVSsRiHZibJ5bInzZlQ1YbzQGYqWR/V7I/W7iLZTHz2cXm98ux8p/XlgRQKBU+yM2pzWw4ePOhbzkSxWOTIkSOR3vZO9n2qfq4lp2qfROT0zQOZ/WCRfwL+BbgC+BjlAeRiygNIL+VZer85/xxIFPNAhoeH2bzZZkTqct22bdvG+Pg4K1Y8OwVaOp2mp6eHm2++2YsS5zD4hhvIHhpl+sDInJPm8VTrbBZI/5c/wis+9xBgNw/E8jYJtv2W6mYtD6R6HuSFlA9h/V/KeyCmzn8AJJPJsEvwjeW6DQwMkMlkSKfTlEol0uk0mUyGgYEBjyqcSzXro3VNH/FUK0J58DidskDA9jYJtv1ccgtzAPkh8BpgXFWLqjoOnEF5EHkwxLo8p/a3a2ss162/v5/t27fT09PDyMgIPT09bN++3bersNZfdQWd52whlkyS2rCOjudtIbVhHbFkcjYL5HTA8jYJtv1ccgszUOpRyldffWXesk5VHRURd+YsXiajo6N0dHSEXYYveOHW39/v24Axn3iqlfNuei8H79jFkXsfIHdkjJbVvay+/GLWX3UF8VRrIHWEjeVtEmz7ueQW2gCiqkWge96yN9b8PARE/h4QcOs3Bq+Jols9WSDWiWLfGsGyn0tuzTvRAyCXW/CCMhNYdrOM9b5Z9nPJrTmABMD09HTYJfiGZTfLWO+bZT+X3MI8B3LasHbt2rBL8A2rbn9+yUYK+ULYZfiG1b5VseznkltzDyQADh06FHYJvmHV7dXP7+OCbruTK1rtWxXLfi65NQeQAGhpaQm7BN9oukUTy25g288lt+YAEgBdXV1hl+AbVt2+9ctRHjxcCrsM37DatyqW/Vxya54DCYCxsTFf56MJkyi5Faezdd//8Ykf7AfgDy44M4xSfSdKfVsKlv1ccgt9ABERBT6mqu+pPN5G+WbCG0XkRmBSVb2fFClAVq5cGXYJi7LcLA6X3WqpNwfkdCEqfVsqlv1ccnPhEFYW+AMRcWN+Yh9w6bK7WrzI4nDVbT715oCcLkSlb0vFsp9LbqHvgQAF4LPAdcBfhVyLL8zMzJz6SSGwc+dOuru7Z+9srf69c+fOuvdCluu2WE5IPTSSB9JIDkiZbwGQun39nPdZbu6HnxkfjeDqNukVlv1ccnNhAAH4FPCIiHzkVE9s5oF457R79242bNjA9PQ0xWKRVCpFLBbjiSeeYHJy0tM8kMWcSqXSkrMzGskDqTsHpOb1lXeZsyyXy85ue6q6YMbJyfJAhoeHnciZaOaBRM+pmQeyUAEik6raKSIfAPLANCc5B9LMA/EOL7I4XHWbT705IFWaeSDRxrJfMw9kYT4OvAlwY5pJD2lrawu7hAXxIovDVbf5NHNA5hKVvi0Vy34uuTkzgFTyQL5GeRAxRSqVCruEBfEii8NVt/k0mgNyz7UXcsd/Pjukav0nKn1bKpb9XHJz5RxIlY8C76h5nKB8lVakOXbsGN3d3ad+YggsN4vDZbdalpIDEhW3pWDZDWz7ueQW+gCiqp01Px8G2mtWn0c5+jbS9Pb2hl2Cb0TJrdEckCi5NYplN7Dt55KbM4ew5iMijwIl4J6wa1kuExMTYZfgG1bd3nbnL7nu23vDLsM3rPatimU/l9xC3wNZDFV9Ydg1eIVLATBeY9XtV2Pu3KzlB1b7VsWyn0tuzu6BWMKl+fu9xrKbZaz3zbKfS27NASQAXJq/32ssu1nGet8s+7nk1hxAAsCly+68xrKbZaz3zbKfS27NASQAXAqA8RrLbpax3jfLfi65NQeQAEin02GX4BuW3SxjvW+W/VxyC+UqLBH5K+D1QJHypbpvBX4G/E/gDynfPHgceL+qRn6e7b4+szPVR8KtkSCpKlds7Z2dxNEiUejbcrDs55Jb4AOIiFwEvAb4NVXNVnJAWigPHuuA8yvL1wC/HXR9fpBOp+noMDfFF9CY23LDq5bCUoOkrrt0EwcPHvS1tjCxvE2CbT+X3MI4hLUOGFXVLICqjgLPAG8G/qxm+WFV/VoI9XlOPp8PuwTfqNfNi/CqpbCcIKlm36KLZT+X3MI4hHUP8D4R2QN8F/hn4BiwT1UzIdTjOy5dt+01a9eurSsU6tPDPyeXzzGTSFKNw8kV8tzy+rfwts0vXvA1jQRGLUbjQVJldhefi6CkfvxkXZ+z3KCpxfArgMryNgm2/VxyC3wAUdVJEekHLgVeRnkA+V/1vj6KgVLpdJrW1lbnAqW8CMDJ5XLk83lUSzXhSjFEpBKuVO7TyPQEq1rbKZaKiAgCtIlwODtFLl++s3Z++NJsYFSl9ycLjFosUCp7iiCpbCaOqp7w+msnPwHA/St+d+HPBKj5/EKhUFeg1KlCskql4uy/o4gwNTXlS1DR7t27Wbt2baS3vZN9n/bt28fZZ59tyqnap71799LV1dUMlAIQkason0T/NWCLqp50opcoBkqNjo46deLLS+p18yK8aik0GiRVxXqglOVtEmz7LdXNRKCUiGwVkefVLLoA2A18HvjfItJSed46EfmvQdfnB/HKb58WqdfNi/CqpdAMkloYy9sk2PZzyS2Mk+idwK0i8h8i8gjwAuBG4K+Bo8B/iMhjwF2Vx5EnkzF5ageo382L8Kql0GiQ1OmC5W0SbPu55BbGOZBBYLFf+26o/DHFqlWrwi7BNxpxW2541VJYSpDU6YDlbRJs+7nk5ux07pYYHx+nvb391E+MIFFwazRI6nQgCn1bDpb9XHJrTmUSAGFfqOAnlt0sY71vlv1ccmvugQSAS7ucXmPV7ZOv20oumz31EyOK1b5VseznkltzDyQADh8+HHYJvmHV7Zy+droK7pys9Bqrfati2c8lt+YAEgB+3sgTNk23aGLZDWz7ueTWHECaNFmAW+7fxz88NBZ2GU2aOE1zAAmAycnJsEvwDatuu3aP8b2hqbDL8A2rfati2c8lt9BPoovIpKp21jx+I/DrqvoOEbkRmFRV/+a6CIA1a9aEXYJvuO62lCyQ0wHX+7ZcLPu55Bb6AHI6cPToUTZu3Bh2Gb7gols1d+TpvcO84mCOjfE22tvL+Qn1ZIGcDrjYNy+x7OeSW/MQVgBIdSpXg7jmVps70p9N0Do2weGDI0wM7W8oC8Q6rvXNayz7ueTmwh5ISkQernncA9wdVjF+0NPT4/l71pPBEQSlUol9sWd/D/Eiw2M53P6VPCsnlTPywppfrSNRTNCaTVCYydESry8LpMy3AEjdvj6Quv3KE1mM+X1bCL+ySILAj++cK/z/7Z15mFxFuf8/35mskASySQAFBAQUlHDjBsoVBLlwccMFjSuul+uG/Iwo4sVcN1RQXHGBCyhKEBQQQWRTFhUBAyHsoJAASiBDQvbM+v7+qOrMmU53T0/P2bpSn+eZZ06f9f2equ46S9X7LZO2MjQgG8xsduVD5R1IvZWjH4jTNGADo/KZ6OzspK+vzy83BgYGEss76OzscMvHjGFgYABLLu/ooKOjg/6+PsyMjo7OTX4gFQ8PqO+dUXM5Dfw+hlue8ANZ0jXAjlPd8nG9rnp3WgcDtrkXyMbVnYDV9RPxR2nKD2S0mvr7+zItJ/d9GdhUTt3dGxk7duxmvi1mtmn7rq6uUn6foh9I9AMZDGCEL9Hb0Q9k5cqVTJ06tegwMqFs2pK+I/vd+ADjN/Qyfs1Gxg4YY8eNA4b3AgH4yCX309/fz4/fsnee4edG2cotbULW16q2IPxAtkT6+/uLDiEzyqYt6Tvy1Pbb0N/Xz7qxYszWE0fkBXLGUXvxlYPK09slbcpWbmkTsr4yaYsNSA6sWxfueIKyaUv6jiwc30f39Mlst8P2TN7lOSP2AimbtjQJWRuEra9M2gp/hDVS2vERVnd3N+PHh9ldtOzaRjMOpOzaRkPI2iBsfa1qy+IRVhleogfPsmXL2HnnnYsOIxPKrq1VL5DQPdHLXm6jJWR9ZdIWH2HlwNixY4sOITNC1hYyoZdbyPrKpC02SYxQVwAAIABJREFUIDmwzTbbFB1CZoSsLWRCL7eQ9ZVJW2xAcqCrq6voEDIjZG0hE3q5hayvTNpiA5IDZbpiSJuQtYVM6OUWsr4yaYsNSA709PQUHUJmhKwtZEIvt5D1lUlbbEByYMOGDUWHkBkhawuZ0MstZH1l0pZbN15JBvzczN7tP48BngBuMbPX+hQmZwOzzWyxX+du4LVmtiSvOLNg1qxZRYeQGWXVNlofkONe+Rz6evtyiLQYylpuaRGyvjJpy/MOZB2wj6SJ/vNrgH9WrfM4cFKOMeXCsmXLig6hIQsXLmTevHkcffTRzJs3j4ULFza9bRm19W/o5p5Pf53HzruM7mVd2IBt8gG559Nfp39D97D7OHKvGcyeMvx67UoZyy1NQtZXJm15P8K6EjjST88FFlQtvxzYW9KeuUaVMeN8Er8ykvTP2H777VmxYgWnnHJK041IGbX961dXsvbBJQz09rLh8Sda9gEpo7a0CFkbhK2vTNryHol+AXCypMuBF+EeWR2YWD4AfAP4HPDenGPLjMmTJxcdQl0WLFjAlClTNvXsqPxfsGABc+bMGXb7yZMnZ+ZN0qq3yNM/fRYdqzrZuGIMAz0uj3rzPiCOy3oOB4xdx121aV5Wnh1F+G6UuU6mQcj6yqQt1wbEzBZL2gV39/G7OqudD5wk6bm1FkY/kHQ1/eMf/2DmzJmsXbuWiRMnsmHDBsaMGcPDDz/M0qVLh/Uv6Onpobe3d5PPRG9vLx0dHQ19Jjo6OpHwy8fS1+89TMaMGeJxUvEWGYkfiBl0r3bbV3w/qn1Auld3YtgQP49qP5BTN3wcgNeP+/2mef39faPWVMu3ZenSpbn7TDz88MPMmjWr0LoX/UBa8wNZsmTJlucHUvH9kHQycBxwEDAdmJd4iV7xAfkw8G/AK6l6id6OyRRXr17NlClTig6jJkn/jAqrVq1i2rRpnHbaaQ22dJRR28L3nED3si42PP7EkPcdzfiAVAg9F1YZyy1NQtbXqrZQ/EDOBr5oZnc1WOdc4FBgZi4RZUyZut1Vk/TPGBgYYNWqVaxevZq5c+c2tX0ZtVV8PsZvN4POieNH5AOypVDGckuTkPWVSVvuDYiZPW5m3xlmnR7gu8Cz8okqWzZu3Fh0CHVJ+mc88cQTTJs2jRNPPLGp9x9QTm07vOUIJu2xCx1jxzLx2duP2AdkS6CM5ZYmIesrk7boB5ID0Zsgf0Y7DiT0R1hlLbe0CFlf9APZwihT/v60Kau2Vn1AthTKWm5pEbK+MmmLqUxyYMKECUWHkBkhawuZ0MstZH1l0hbvQHJg4sSJw6/UpoSq7eoP7sfq1auLDiMzQi23CiHrK5O2eAeSAytXriw6hMyI2tqTkLVB2PrKpC02IDkwffr0okPIjKitPQlZG4Str0zaYgOSA2vWrCk6hMwIVdtHLrmf43/3SNFhZEao5VYhZH1l0hbfgeRAmQxg0iZUbX9/ujyDtbIg1HKrELK+MmmLDUgOlCl/f9qUTdtox39sKZSt3NImZH1l0lZYAyJpFvBt4CVAN/Ak8DLgQWAnYJX/6zKzQ4uKMw3K1G87bZYtW0ZXVxcLFizg0UcfZaeddmLu3LlNj2RPk4oPyNoHl2yaV/EBWXnLYvY+9TOxEfGEXCchbH1l0lbIOxBJAi4Brjez3czsBcDxwH+Y2WzgMuDTZja73RsPKFe3u7R56KGHRuUnkiZp+YBsCYRcJyFsfWXSVtQdyMFAr5n9qDLDzBYVFEvmlMkAZjhG6u1xzpI76OnrY+OYsVQy9PT09XL6Oz7MR3bed9jtW/X8qEUaPiCDXAHAxIt2qLtGVv4g9UjTN6Sd6mQrhKyvTNqKakD2AVq6RG1XP5BVq1aV0g+kWlNPTzdSB52dHfT19dE5ZgwDAwPYwKDfhzo66OjooL+vj2Ub1zFj7ET6B/rp6OhgYGCAiR0dLNu4lp6e7mG9M3DOHEADv4/hlns/j6Z8QJIeIw38QAaxujH19HSn4gfS19dLZ2cnZjAw0D94niU6OztdOXR28tRTT6XmM/Hoo4/S09NTqrqXth/I2LFjg9JUKafHH3+cVatWbVl+IEMOKn0CeK6ZHV9n+bnA5Wb2q+pl7ZhMcd26dWy99dZFh5EJn/zkJ1m9enXLfiJpkoYPSIXTb3qUvr4+Pn3wrlmFWygh10kIW1+r2kLxAwG4B8j/LWtBrFq1qugQMuOII44YlZ9ImqTpA3L8gTvxzj3Lk3MobUKukxC2vjJpK6oB+QMwXtKHKjMkvUTSqwqKJ1N6e3uLDiEz9tprr1H5iaRJ2j4gIZdbyNogbH1l0lbIOxAzM0lHAd+W9FlgI7AE+GQR8WRNmfptp82sWbPYeeedC2kwqumcOJ69T/1MKuNAHuxaT+/YbYZfsU0JuU5C2PrKpK2wcSBm9i/g6DrLjsk3mmwpU7/ttCmbtrR8QD526QNAuIZSZSu3tAlZX5m0xVxYORDqyzwIW1vIhF5uIesrk7bYgORAp+/CGSIhawuZ0MstZH1l0hYbkBwI2ZgoZG0hE3q5hayvTNpiA5IDM2fOLDqEzAhZW8iEXm4h6yuTttiA5MCKFSuKDiEzQtYWMqGXW8j6yqQtNiA5UMRo/7wIWVvIhF5uIesrk7boB5IDZbrlTJuyaUvLD+T7b9yTnu7u4VdsU8pWbmkTsr4yacv1DkSSSTov8XmMpOWSLpf0PkmL/F+PpLv89NfyjDELnnzyyaJDyIwstS1cuJB58+Zx9NFHM2/evGFTxFf8QB477zK6l3VhA7bJD+SeT399SH6s4dhjxlZM7ivPy8q0CblOQtj6yqQt70dY64B9JFUS2r8G+CeAmZ3j/T9mA/8CDvafP5tzjKmTZTbMoslK28KFC0fsM5K2H0gst/YlZH1l0lbEI6wrgSOBXwFzgQXAgQXEkSlJX42+/j7GdJb7aWGrvhzPxudCT5mLzu9l6lpj217B0zAd6FxvXPTlG3jlO8bW3CZNP5BvrP84YJyw1fdTUjR60vQfyaNOpulfEiknRfyqXQCcLOly4EXA2YygAWkXPxCzgU3eGf39/c4HYswY+vsHMBtI+Eh0IMn7SDT2zsjKZ8LMBn0yanhjNPLOAEA2ZHlNP4/hljP0mEu6Bthhql/PL58y0VjSZZvmZOkH8tte92N9At9LTdOIlteIqa+vl4GkL8sIfFs2q3s9PTDWMq17K1euLMw745///OcmL57Q/ECeeOIJ1q5du+X5gUhaa2aTJP0N+AHwPOBqYJ6ZvTax3hLgxWbWVb2PdvQD2bhxIxMmhJkaPCtt8+bNY8WKFSPyGUnTD+Sws+4Aws2FFXKdhLD1taotJD+Qy4DTcI+vgmf58uVFh5AZWWmbO3fuiH1G0vQDCZ2Q6ySEra9M2opqQM4GvmhmdxV0/FzRUI/UoMhK25w5c0bsM5K2H0jIhFwnIWx9ZdJWlB/I48B3ijh2EUybNq3oEDIjS21z5swZkc9Imn4goRNynYSw9ZVJW64NiJlt9jbHzK4Hrq+at0s+EeXD8uXLS5O/P23Kpi0tP5DQKVu5pU3I+sqkrdx9SwNhypQpRYeQGaFq2336RPr7+4sOIzNCLbcKIesrk7bYgORAyD9EoWo746i96OrarBNgMIRabhVC1lcmbTGZYg6sW7eu6BAyI2prT0LWBmHrK5O22IDkwKxZs4oOITOitvYkZG0Qtr4yaYsNSA4sW7as6BAyI1Rth511B687796iw8iMUMutQsj6yqQtNiA5MHZs7dxNIRCytpAJvdxC1lcmbfEleg4k03GERhm0peUBsiVRhnLLkpD1lUlb7g2IJAO+ZWaf8p/nAZPMbL6k+cCHgORY/YPM7Jm840yTrq4utt5666LDyIRG2hYuXMiCBQt49NFH2WmnnZg7d+6IBgY2Q8UDZO2DSzbNq3iArLxlMXuf+pnYiNQg5DoJYesrk7YiHmF1A2+SNKPO8tMrviD+r60bDyjXFUPa1NPWip9HK6TtAbKlEHKdhLD1lUlbEY+w+oCfAMcDJxVw/Nzp6enJ/ZhJP5Is6evrZcyYzZ/JnrH0TqbutHREfh6tkKYHyFCuAGDiRTsMu2aaPh2tMlLvjSLqZJ6ErK9M2op6B/IDYLGkWrm1j5f0Lj+90swOTi5sFz+QZK7/VatWsWHDhqZy/aflXzAwMDAiP5BWfSaclwibeZws27iWF030vh2+7Or6efjlrXhnNOsBMhKPk6G56mxYP5Cenu7cfFvqldPq1atH7DMBZFL3yuCdUYk/JE2VcnrqqaeG7H+L8QOBIZ4gXwR6gQ0MfQey1sxqGz7Qnn4g3d3djB8f5nP4etpa8fNohTQ9QJJccX8Xfb19vOGF5elznyYh10kIW1+r2kLyAwH4NvABoBxvgzKkTP2206aetlb8PFohKw+QI/eawewp3cOv2KaEXCchbH1l0lZYA2JmK4ALcY1I0IwbN67oEDKjnrZW/DxaIUsPkC2x3EIhZH1l0lb0OJBvAh+rmpd8BwLwRjNbkl9I6TN58uSiQ8iMRtpG6ufRCll5gFxxfxfdGwd40/YpB1wSQq6TELa+MmnLvQFJeoKY2ZPAVonP84H5eceUNU8//XSmL7KKpAzasvAA+c6fHgPgTbN3TG2fZaIM5ZYlIesrk7aYyiQHpk6dWnQImRGytpAJvdxC1lcmbbEByYENGzYUHUJmhKwtZEIvt5D1lUlbbEByYOPGjUWHkBkhawuZ0MstZH1l0hYbkBwoU/7+tAlZW8iEXm4h6yuTttiA5ECZ+m2nTcjaQib0cgtZX5m0xQYkByZMmFB0CJkRsraQCb3cQtZXJm1FjwPZIpg4cWLRIWRGltqK9Pm4+oP7sXr16kyPUSQh10kIW1+ZtOXSgEg6HVhqZt/2n68CHjOzD/rP3wQ+Dswxs7v8vBOAXc3s2DxizJKVK1cyZcqUosPIhKy0Defz0fOO13DBxb/O1Gskllv7ErK+MmnL6xHWX4ADACR1ADOAvRPLDwC+Apwhx47AfwEn5hRfpkyfPr3oEDIjK22NfD6eWnQPl5zwxcy9RmK5tS8h6yuTtrweYf0ZON1P7w3cDWwvaSqwHng+8Cq/7D3AkcB8M1uZdiB5+WQk6e3tzczH+JAP/T6T/TbLBAyh4VccIY18PlbSy24dffRM/1tmXiMfWPMdwPi/yZ9MZX8jIQ9/kSzrZDUj9SpJgzVr1pRmtHbalElbLg2Imf1LUp+knXB3GzcDOwL7A6uAxWbWI+mTwK3AQ2Z2Xq19jdYPpK+/LzNPhnreGf0D/VjPgI95YDPvDEneR8JpMrPE8sY+EyP21qjjfdFoeSPvDACTDVneyDujWb+PRj4f3YKtx3RimNsGmOy9Rsxs1JokeHBg90rtTU1Ts8vNBlL3bamue319vUiMqu4163GydOnS3L0zKt4dIfqBPP3000OWbxF+IJJ+AfwWOAL4Fq4BOQDXgEw3s8/69X4GXG5mF9baT/QDKRdZaWvk8/E0fawZI+4+ZPApaNpeI4eddQfgXqaHSMh1EsLWt6X6gVTeg7wQ9wjrr7g7kANwj7gqDPi/YChTv+20yUpbI5+PadOm8fCUzsy9RkIm5DoJYesrk7Y8G5A/A68FVphZv/cD2RbXiNycYxy5U6Zud2mTlbZGPh/Pmr03R33j5My9RkIm5DoJYesrk7Y8x4Hchet9dX7VvElm1pVjHLlTJgOYtMlKWzM+Hy8+YP9Mjr0lEHKdhLD1lUlbbg2ImfUDU6rmHVNjvc3mtTurVq1i2223LTqMTMhSWxY+HxFHyHUSwtZXJm1xJHoOzJgxo+gQMiNUbUfsOX1Tr6IQCbXcKoSsr0zaYi6sHFi1alXRIWRGqNqOP3An3rlneXIOpU2o5VYhZH1l0hYbkBzo7e0tOoTMiNrak5C1Qdj6yqQtPsLKgTLl70+bULU92LWe3rHbFB1GZoRabhVC1lcmbfEOJAfK1G87bULV9rFLH+D43z1SdBiZEWq5VQhZX5m0xQYkB7beeuuiQ8iMkLWFTOjlFrK+MmmLDUgOdPqcQSESsraQCb3cQtZXJm25NyCSdpF0d9W8+ZLWSVok6V5JG/z0IklvyTvGtAnZmChLbf0bunnsvEtZ+J4TuPnwD7DwPSfw2HmXDsmNFWmNkOskhK2vTNrK9BL9C2Z2mqRdcMkUZxccT2rMnDmz6BAyY+bMmSxcuJAFCxakau40nKHU3qd+JnNXwpAJuU5C2PrKpC0+wsqBFStWFB1CZtxwww2ccsopqZs7NTKUWvvgEv71qytTUrBlEnKdhLD1lUlbme5AgiXLlPlFGGQlTaxuOL+HqWth216lau7UyFBqq2l9PP3T29ljwkdGK6UBVwD5n9+8zJfysnEoipD1lUlbEQ1IPfVNnZXRGkpBMWYxS5cubcosZqQGOBWTnzxNsjYZORks6TJ2mOoKr2LuNKXK3CltQylwyzftP2WTLAnef+XPGRiwTeZOozX+Kpv5Uk9PD0899dSo6l6ZzZd6enpYt25dUJoq5TQwMDCknmwRhlKbDihNAh4wsx0T874LLDSznybegexTa/t2NJRaunQpO++8c9FhZMKxxx5LT08P22wzOOguDXOnRoZSE5+9PeNnzWDOz74xqtiHI+RyC1kbhK2vVW3tbigFgJmtBZ6QdAiApGnA4cCf8o4lL8riX5wFRx99NKtXr07d3KmRoVRyeZaEXG4ha4Ow9ZVJW1Ev0d8DfF7SIuAPwP+a2T8KiiUyCvbdd19OPPHE1M2dGhlKTdpjF3Z4yxEpKajN6Tc9ypl3PJ3pMSKRdqeQl+hmdi9wcJ1lS4Caj6/albVr1zJ9+vSiw8iEtWvXMmfOnNTdAJsxlMqSKx9wjcdnMz1KcYRcJyFsfWXSFnth5cB2221XdAiZkaW2aCiVHSHXSQhbX5m0xXEgObB8+fKiQ8iMkLWFTOjlFrK+MmmLDUgOqNKvNEBC1hYyoZdbyPrKpC02IDkwbdq0okPIjJC1hUzo5RayvjJpiw1IDpTpljNtQtYWMqGXW8j6yqQtvkTPgSlTphQdQmaEqm336RPp7+8vOozMCLXcKoSsr0zaYgOSAyH/EIWq7Yyj9qKrq6voMDIj1HKrELK+MmnL9RGWJJP0zcTneZLm++n5kv7pPUAeknSxpBfkGV9WrFu3rugQMqNaW0geHltSuYVGyPrKpC3vO5Bu4E2STjGzWpd3p5vZaQCS3gb8QdILzaw8D/1aYNasWUWHMGKa9fhIagvNw6Mdy61ZQtYGYesrk7a8X6L3AT8Bjh9uRTP7JXA18I6sg8qaZcuWFR3CiFi4cGHTHh9JbSF5eBx21h287rx7iw4jM9qtTo6UkPWVSVsR70B+ACyW1Ewq1duBQlLvpukD0dvbwz/Hjhv1fpI+HFly0fm9TF1rTXl87ImhW12/9OI9PEbHdWcePvjh6I8DxfitVJOFR8jYsa17tbQDIesrk7bcGxAzWy3pZ8AngA3DrL7ZiJm8/EAqPhCj9c5QRwdI9PR0+5gHMBtI+Eg07zMBVtM7Axp7awxZ3oR3xpKuAXas8viYnPD42Nxbw8BG5uExophT0NSMH0j/QD/9fX2MGTP4tcjbD6SWb8vSpUtT95lYv3590H4g69evD9YPpKenZ8v0A5G01swm+RTutwPn+Bjm+5fpayvvQPz6PwP+ZmbfrcyLfiDZM2/ePFasWNGUx0dSWxk8PNLisLPuAODqD+5XcCTZ0G51cqSErG+L9gMBMLMVwIXAB+qtI+nNwGHAgrziyorkD3E7MHfu3KY9PpLayuDhEWmOdquTIyVkfWXSVuRI9G8CM6rmHV/pxgu8C3h1u/fAAujp6Sk6hBExZ86cpj0+ktqK9vCINE+71cmRErK+MmnL9R2ImU1KTD8JbJX4PB+Yn2c8ebFhw3CvespHsx4fSW1Fe3hEmqcd6+RICFlfmbTFkeg5UKZ+22lTrS0UD4/jXvkc+nr7ig4jM0KukxC2vjJpi8kUc6BM/bbTJlRtR+41g9lT2m/0fLOEWm4VQtZXJm2xAcmBceNGPwakrERt7UnI2iBsfWXSFhuQHJg8eXLRIWRGqNquuL+Lm58cKDqMzAi13CqErK9M2mIDkgNPP/100SFkRqjavvOnx/jR354qOozMCLXcKoSsr0zaYgOSA1OnTi06hMwIWVvIhF5uIesrk7bYgORAmbrdpU3I2kIm9HILWV+ZtBXajTeR2mQX4D7gfmACsAb4gZn9tMDwUmPjxo1FhzCE/g3dqY3VKJu2SHOEXm4h6yuTtjKNA/mHme0HIGlX4GJJHWZ2TtYHbtb7olXK1G87bc+OMmmLNE/o5RayvjJpK+UjLDN7GPh/uIy9mTIS74tWKVO/7bQ9O8qkLdI8oZdbyPrKpK1MdyDVZOoFUvF5OGPpnfT09rBxzFgqN4Y9fb2c/o4P85Gd903lWL19vfxzTO0c/nl5fFRI27Mj6QfSCkM8OAokC8+NMjNhwoSiQ8iUkPWVSVuZG5Cav0pp+YEM2AB9fX08sXEtM8dNpH+gnw4JAyZIPNm9jp6e7nT8QIy6fiAVt4t6PhVpe2dsHMazY+PqTgwb1jujspyEH0jDmOssHxgYSNU7o9VyevLJJ4d4Mvz0yFmsWbOG7u7ump4M7e4zsWrVKiQFpam6nCZNmhScphkzZrBu3bot0w9ks4MPfYl+uZntk1j2auA0M/u35DZp+4GMxPuiVcrkTZC2Z0eZtKVN1Na+hKxvi/cDGQ7foJwGfC/rY43E+6JVpk+fntq+Rkvanh1l0pY2UVv7ErK+MmkrUwOym6Q7JN2HM5v6Xh49sEbifdEqa9asSW1foyVtz44yaUubqK19CVlfmbQV+g6k4g9iZkuAiUXF0az3RauUyQAmbc+OMmlLm6itfQlZX5m0lfklejCUqd82pOvZUTZtaRK1tS8h6yuTtjI9wgqWMvXbTpuorT0JWRuEra9M2mIDkgMTJxb2dC5zorb2JGRtELa+MmmLDUgOlMkAJm2itvYkZG0Qtr4yaYsNSA6sWrWq6BAyI2prT0LWBmHrK5O22IDkwIwZM4oOITOitvYkZG0Qtr4yaYsNSA6U6YohbaK29iRkbRC2vjJpiw1IDricV2EStbUnIWuDsPWVSVtsQHKgTP220yZqa09C1gZh6yuTttiA5ECZ+m2nTdTWnoSsDcLWVyZtsQHJga233rroEDIjamtPQtYGYesrk7bYgORAp/e3CJGorT0JWRuEra9M2mIDkgOrV68uOoTMiNrak5C1Qdj6yqQtNiA5MHPmzKJDyIyorT0JWRuEra9M2mIDkgMrVqwoOoTMiNrak5C1Qdj6yqQtNiA5UKRtcNZEbe1JyNogbH1l0hYbkBwo0y1n2kRt7UnI2iBsfWXSFhuQHHjyySeLDiEzorb2JGRtELa+MmmLDUgOTJo0qegQMiNqa09C1gZh6yuTttiARCKRSKQlYgOSA2vXri06hMyI2tqTkLVB2PrKpC02IDmw3XbbFR1CZkRt7UnI2iBsfWXSFhuQHFi+fHnRIWRG1NaehKwNwtZXJm2xAckBSUWHkBlRW3sSsjYIW1+ZtMUGJAemTZtWdAiZEbW1JyFrg7D1lUlbbEByoEy3nGkTtbUnIWuDsPWVSVtsQHJgypQpRYeQGVFbexKyNghbX5m0xQYkB/r7+4sOITOitvYkZG0Qtr4yaYsNSA6sW7eu6BAyI2prT0LWBmHrK5O22IDkwKxZs4oOITOitvYkZG0Qtr4yaYsNSA4sW7as6BAyI2prT0LWBmHrK5O22IDkwKWXXlp0CJkRtbUnIWuDsPWVSVtsQHLg4osvLjqEzIja2pOQtUHY+sqkLTYgOdDX11d0CJkRtbUnIWuDsPWVSZvKZI/YDNddd91yYGnRcYyEFStWzJg2bVpX0XFkQdTWnoSsDcLWNwptOx9yyCGp2hm2XQMSiUQikXIQH2FFIpFIpCViAxKJRCKRlogNSA5IOlXS/ZIWS7pE0rZFx5Qmkt4q6R5JA5JeXHQ8aSDpcEkPSPq7pM8WHU9aSDpb0lOS7i46lrSR9BxJf5R0n6+PxxUdU1pImiDpVkl3em3/W3RMEBuQvLgG2MfMXgQ8CJxYcDxpczfwJuDGogNJA0mdwA+AI4AXAHMlvaDYqFLjXODwooPIiD7gU2b2fODlwEcDKrdu4NVmti8wGzhc0ssLjik2IHlgZlebWaXv3V+BZxcZT9qY2X1m9kDRcaTIS4G/m9nDZtYDXAC8oeCYUsHMbgRWFB1HFpjZE2Z2u59eA9wH7FhsVOlgjooZ+lj/V3gPqNiA5M/7gSuLDiLSkB2BxxKfHyeQH6ItBUm7APsBtxQbSXpI6pS0CHgKuMbMCtc2pugAQkHStUCtLGcnmdlv/Don4W6zf5FnbGnQjL6AqOUZWvjVXqQ5JE0Cfg180sxWFx1PWphZPzDbv0O9RNI+Zlbou6zYgKSEmR3aaLmk9wKvBQ6xNhx8M5y+wHgceE7i87OBfxUUS2QESBqLazx+YWblyfmRImb2jKTrce+yCm1A4iOsHJB0OPAZ4PVmtr7oeCLDchvwPEnPlTQOeDtwWcExRYZBkoD/A+4zs28VHU+aSJpZ6b0paSJwKHB/sVHFBiQvvg9MBq6RtEjSj4oOKE0kHSXpcWB/4ApJVxUd02jwHR4+BlyFexF7oZndU2xU6SBpAXAzsKekxyV9oOiYUuQVwLuBV/vv2SJJ/1l0UCmxPfBHSYtxFzjXmNnlBccUU5lEIpFIpDXiHUgkEolEWiI2IJFIJBJpidiARCKRSKQlYgMSiUQikZaIDUgkEolEWiI2IJHICPHZUA+qs+wg36U5jeNcL+mDaewrEsmCOBI9EjSSlgDbAf3AWuD3wMcSielGjJntnU50kUh7E+9AIlsCrzOzSbg02PsRXjr9SKQQYgMS2WIws2W40eWzASSNl3SapEclPSnCEMVJAAAar0lEQVTpRz5NBJJmSLpc0jOSVki6SVKHX7ZE0qF+eqKkcyWtlHQv8JLkMSWZpN0Tn8+V9GU/PdUfY7nf/nJJNVP9S9pd0g2SVknqkvTLDE5RJDIiYgMS2WLwP85HAH/3s74O7IFrUHbHpWw/2S/7FC6p4kzcI7DPUTsj7xeA3fzffwDvHUFIHcA5wM7ATsAGXNqbWnwJuBqYikvu+L0RHCcSyYTYgES2BC6VtAbn8fEU8AWfeO9DwPFmtsIbEH0VlzgRoBeXf2hnM+s1s5vqZFE+GviK38djwHebDcrMnjazX5vZen/8rwCvqrN6L66h2cHMNprZn5o9TiSSFbEBiWwJvNHMJgMHAXsBM3B3FlsBC/1jqmdwL9hn+m1Oxd2pXC3p4Qa+6Dsw1HxqabNBSdpK0o8lLZW0GmcJvK231K3mBJxPya2+F9j7mz1OJJIVsQGJbDGY2Q04T/DTgC7cI6O9zWxb/7eNf9mOma0xs0+Z2a7A64D/J+mQGrt9gqHeITtVLV+Pa6gqJE25PgXsCbzMzKYA/+7nb2ZoZWbLzOxDZrYD8F/AGcl3K5FIEcQGJLKl8W3gNcCLgDOB0yU9C0DSjpL+w0+/1r+4FrAa1w24v8b+LgRO9C/Enw18vGr5IuAd3o70cIY+opqMa8SekTQN9z6lJpLemnjBvhL3PqZWPJFIbsQGJLJFYWbLgZ8B/4Mz+fo78Ff/COla3B0BwPP857U4/4wzzOz6Grv8X9xjq0dwL7nPq1p+HO4O5hngncCliWXfBibi7ob+inuEVo+XALdIWosztzrOzB4ZXnEkkh3RDyQSiUQiLRHvQCKRSCTSErEBiUQikUhLxAYkEolEIi0RG5BIJBKJtERsQCKRSCTSErEBiUQikUhLxAYkEolEIi0RG5BIJBKJtERsQCKRSCTSErEBiUQikUhLxAYkEolEIi0RG5BIJBKJtERsQCKRSCTSErEBiUQikUhLxAYkEolEIi3Rtg2IpH5JiyTdLem3krZtcT9nSXpBjfnHSPr+KOJbO8L1fyVp1ybX3RSzpM8l5u8i6e6RRZo9kuZLmpfBfk+T9Oo6y/by9eMOSbulfewyIemNtepwBscZ9jvRaB0f58l++lhJ78kiznrxSPqYpPc1sc1Bklb5+rNY0rUJ18qWfxdG+pswWryOy7M8Rts2IMAGM5ttZvsAK4CPtrITM/ugmd2bbmgjQ9LeQKeZPdzM+lUxf67hyq3HNKbR5wbbdaYchyTVq6ffAz5bZ9kbgd+Y2X5m9o8m95crNc5xq+fujUDmDUgKnACcAWBmPzKzn7Wyk1Gcp7OBTzS57k3+9+VFwG20+PtSFM1+X0e7fSm+SClwM7Bj5YOkT0u6zV89/K+ft7WkKyTd6e9a3ubnXy/pxX76fZIelHQD8IrE/s6V9JbE57X+/yRJ10m6XdJdkt5QHZik7SXdmLhbOrBG/O8EfuPXP1rSt/z0cZIe9tO7SfpTMmZJXwMm+n3/wu+rU9KZku6RdLWkiTViminp1/4c3SbpFX7+fEk/kXQ18DN/tXWRpN8CV/sf31O9jrsS5/AgSX+UdD5wV50y2lfSHyQ9JOlDjc6fv5O6T9IZwO3Ac3wZVI57PICZLQWmS5pVpe8/gU8CH/Rx1drfXL+vuyV9PVm2kr4uaaG/8nypP98PS3p9LWGSTvD7utOXSXW9miFpiZ+uPqebnTtJ75J0qy/XH1d+MH1sX/HH+auk7SQdALweONWvv1tVbOdK+qE/xsOSXiXpbH8+zk2sV+981PtO1KxD9ZC0B9BtZl3+86a7Un+uvu41P1jrOzLC81QzZjNbDyyR9NJGsVYdVzjv+pU1lr1O0i1yd7nXStrOz58k6Rx/PhdLenPVdjMk3SzpyKr5u0i6X+4Jw92SfiHpUEl/9t+bl/r1XirpL/64f5G0p58/pG5V7fslfv1d5X4Lz/bldocGv3d1t6+LmbXlH7DW/+8ELgIO958PA34CCNdAXg78O/Bm4MzE9tv4/9cDLwa2Bx4FZgLjgD8D3/frnAu8pcaxxwBT/PQMnL+2qtb5FHBSItbJNbTcALzQT88CbvPTv8Jd/ewIvBc4JRlz8jh+ehegD5jtP18IvKvG8c4HXumndwLu89PzgYXARP/5GOBxYJr//GbgGq9jO3++tgcOAtYBz61TVvOBO3H+3zOAx4Ad6p0/r2MAeLlfNge4JrG/bRPTZwJvrnPMeYnzktzfDomyHgP8AXijX2bAEX76EtwXaSywL7CoxnGOAP4CbOU/V85VsoxmAEvqnNMh5w54PvBbYKz/fAbwnkRsr/PT3wA+X6t+VsV3LnCBP69vAFYDL8R9NxYCs+udDxp/J+rVoWMq61TF8T7gm3XK5/rKMuA/gWtrbN/UeWoUs1/vJOBTw/y2HASsAhbh6ur9DNbTTfqAqQx+3z+Y0PB14NuJ/U2tfFdx35tbgNfUOO4uuO9vsnzOTpTdpX69KcAYP30o8OsGdety4AC/r538/K/ifxeAbYEHga2rt2/mb1S3OQUzUdIi3ElfiPthA9eAHAbc4T9PAp4H3ASc5q+uLjezm6r29zLgejNbDiDpl8Aew8Qg4KuS/h33A7UjroIsS6xzG3C2pLG4CrCoxn62B5YDmNkyfwUzGXgO7ov678CBwMXDxAPwSOIYC3Hnp5pDgRe4iysApvjjAVxmZhsS615jZiv89CuBBWbWDzzpr/BegvtRutXMHmkQ12/8fjdI+iPwUuAKap8/gKVm9lc//TCwq6Tv+W2SV0dP4X4AhyO5v5cwtKx/gTvHlwI9wO/9enfhrpp7Jd1F/XN5jrmrWxLnqhHXVK2XPHeH4BrM23z5TPQa8bFVnmkvBF7TxLEAfmtm5jU8aWaVK/h7vKadqX0+oP53olEdqsWmOl6HSt2uV2ehufM03Pf4KWCvBnFUuMnMXuv38Rlcg31s1TrPBn4paXtcY1WJ7VDg7ZWVzKxy9zIWuA74qJndUOe4j1SVz3WJstvFr7MN8FNJz8NdVIxNbF9dt56Pu6A+zMz+5ecdBrxeg+8lJ+AuAmpt35B2foS1wcxm4yr/OAafUQp3pT7b/+1uZv9nZg/iKtxdwCnyL/OqsDrH6sOfK39LO87PfyfuSmeOj+VJXGEM7tDsRtyX8Z/Aear94nBD1XY3467YHsA1fAcC++OupoajOzHdDzUvEjqA/RPnaEczW+OXrataN/lZ1GfTepI+6h8rLJJU+XGvPrdG4/O3aX/+C7gv7kr1o8BZif1MwJ2/4WhWR6/5SzNco9btYxig9rkUtevNpjpDVZ1g+HP800TZ7Glm82vEVq9sa1GpEwMMrR8VTY3OR73vRKM6VIvqOl4vxka6mj1P9WKG5utLkssYbFCTfA93N/JC4L8Y1NeoTiwE/qPBsarLJ1l2lfPyJeCP5t7/vo6h57W6bj0BbAT2S8wT7q69cu52MrP76mzfkHZuQAAws1W4F2Pz/FX+VcD7JU0CkLSjpGf5H7L1ZvZz4DTg36p2dQtwkKTpfj9vTSxbgmt8wN1KVlr8bYCn/BXqwbjGbAiSdvbrnAn8X43jAtwH7J74fCMwz/+/AzgYdyW8qsa2vT7ekXA18LFEjLOb3O5G4G2SOiXNxH2pbq1eycx+kKiclaueN0iaIGk67tb6Npo4fz6+GUCHmf0a+B+GnsM9gJH2PLsFeJV/Ft0JzMU9RmyFq3H1bSsf6zQ/fwmDdeYtNbarx3XAWzTY62ear0ONWIN7Tt8q9c5Ho+/ESOtQdR0fLfXOU6OYobX68krgHzXmb4O7MAT3iLlC9bmZ6icNeD+wl6R6nT+aIXncY4ZZ9xngSNyd/kF+3lXAx/3FMJL2q7PtsLR9AwJgZnfgnrG/3cyuxj32udnf9v0K9+V6IXCrf+x1EvDlqn08gXsuezNwLe5la4UzcV+wW3G3yJVW+hfAiyX9DXc1fX+N8A4CFkm6A/cO4Ts11rnCr1fhJtzjqxv946LHgD/Vkf8TYLEGX6I3wyd83Isl3cvmt+b1uARYjDvXfwBOMLNljTfZxK04nX8FvuQblmbOH7hHW9f7sjsXOBHA/0DsDvytyRiATWV9IvBHr+V2M/vNSPaR2NfvcVeof/PxVR4LnAb8t6S/4N6BNLu/e4HP416wL8Y9mt1+mM0uAD6tFrss1zsfw3wnRlqHbgT2q/xojZZ652mYmMG9VL8WNnUlrhf3gf4O+k7g3bh3mdXMBy6SdBPQlZj/ZWCq3IvwO3EXgJW4+3GPtw6W9JERSE7yDdxTlD/j3kc2xMyexN2p/EDSy3B3MGNxvxt3+88tUXkBFCkQuZ5SfwRe4StYpAkkHQX8m5n9T9GxRIZH0ndw72OuLej4+wH/z8zeXcTxQySIO5B2x79c/gKJrsiRphgDfLPoICJN81VgqwKPPwP3CDSSEvEOJBKJRCItEdQdiKQl/oVrWyDp9fVepmkUaQ9UNfBxmHXHyw2CWiQ/MDAr1AZpVwD8e4vSoyZSVTRaR9J+ks7y08dIMkmHJJYf5ec13QlgNDHJDZCr9N670z+iRNI4ucG4w/Y6kxuU+GjyXYukS0fzfWo3kt+zrAmqASkajTDFgpldZmZfyyqeJtkPNxhrtpn9MrlgpHqaILeKDa3Hb2YHpB1LSfkcritqhbtwPbAqvB33Uj0v7sYNvpwNHA78WNIYM+vB9bpq9gLnGfwIdLkcecN1QsiEZhq8jIgNSCNUJy2J5+MaTI2xl19/mr8KWSyXAuJFfv5dkraV42n5MRqSzpNLIbC3BlMlLJYbuFMdy1pJX5R0C7C/pDmSbpBLhXGV3CAjJH1C0r1+Pxf4ecdoMNHbc+XSG9wm6UuJ/Q+5WpP0fUnH+OmT/fp3y6Ug2ayHi6SvJY57WtWyZwE/B2Z7jbv5u7iT5dKmvFXSbH/OFku6RL5Lor/SO91fGd4nlyrhYrmUC1+uFQdNpl3xcfzen8ObKuVYtb/5vpyq06M0lfJC0n9L+kZif8fIDVTcdPfn60W91C31yqTu+U7E/VOvd4mkN0n6ht//7+W7ZEs6RK5X1V1yaSfG+/mHy6W7+BPwpsR+a6anqIfcoL8XmVmygbgJeKmksXLd4HfHjcaubJNpTGa23sz6/McJDB1LcSmup14zXMDgQL43UTUAVzVSHfn5l/o6d4+kD/t5naqRRkdNpqqpdzw1n7akUdqRi32deahSl+t8z7JjuKHqZfyjflqSJcDH/fRHgLP89PeAL/jpV+NTUgA/wvWR3gc3LuFMP/8h3Aj27wHv9PPG4VN8VMViwNF+eiwurcVM//ltwNl++l/AeD+9rW2eFuEyBlNWfJTBVCgH4UbOV473feAYPz0tMf88BtNcnIsbezANNxhRyeNWxV+9/yW47rmVz4uBV/npL+JTNOAG9X3dTx/n9W0PjMelQ5he41hNpV3BXW0+z0+/DPhDjX3Np3Z6lINoLuXFTODvif1dyWBqjsq5b5S6ZbMyafJ8z8d1ya6kR1nP0NQpb8T9eD4G7OHn/wyX26sy/3m4wWAXVuKgfnqKIbEm4jgYnwIjWReBbwGvxf1Yf4HBupR5TInyvgeX9uOoxPxOYHkTvw3X+30s9ttcjatrlTKtmeoo+X3C1am7genUSaND86lq6qVW2oXm0pY0SjvyMG5MyARgKfCc6u9Z1n9teQeCu7I8VC4B24E2dIBdrZQIr8T9wGJmf8Al4NsGd8X17/7vh8ALJe0IrDCztbi+5J+TS2Wwsw1N8VGhH/i1n94T1xhdIzcm4PO4dAfgKvQvJL0LV3GqeQWwwE+f19xp4GC5ZG534RrGvauWr8aNQj1L0ptwP1bN8EsAf462tcG0Cz9l6Ijcy/z/u4B7zOwJM+vGVeznNHGcR6wq7Yq/8j0A179+EfBj6j+C+I2ZbTCXoK+SHgXqp7xY5D/vai7VxcOSXi43uHFPNh/pvyl1i7m+9JXULfVo9nxfaWa9uPPWydDUKbv4WB4xlz0BBs/7Xn7+Q+Z+KX6e2OdhwGe9xusZmp6iFvVSi1Su3t/OYH0kp5gws1vMbG/ceT5R0gQ/vx/oUeN0KRX6cY3023AXfUuqYqqkOrrdx195svAJuXEbf8XV3+eRSKMj6XBcGQ9HMh1Io+M9YmZ3mctysCltCYP1oLJ9vXN4nZmtMrONwL3UGYibJW2ZC8vMHpQ0B5d47RRJV5vZF/3iWikRag1eMtzgpo/iCuQk4Cjc1dZN/jjnyz2aOhK4StIHfQOUZKMNjt0Q7od0/xrHOxL3hXs98D9yKdxrxVRNMiUG+LQF/ot1Bu4q6DFJ89k8jUqfvxU+BPeD8DFcQzMczaYzGC5FRrPbgyuviTitz5h7Dj4ctdKjQO2UFyfW2P6XwNG4AYyX+C9vknqD3mqWyQjO96b0KJKqU6e0mlqkkp7igSEzfYbYGtRMLWJmt0raB5cq6EEl3kXnEFMyjvskrcNdkFUGio7HNdDNcAHujm5+jZhOMbMfV8V0EC6H1f5mtl7S9cAEM1spaV9c+pGP4urL+2k+VU294+1Cc2lL6p3Dl9Fc2qJMacs7EA2flqSaG/HPT31F6TKz1Wb2GO7283nmvDj+hBtJfJNfd1fgYTP7Lu5q+0XDHOcBYKak/f32Y+Xeo3Tgbi//iPNE2Bb3iCzJnxl8bpt81rsUl7RuvL8jqPSSqVTaLn/VvllPGT9/GzP7He5xQ7MpS4BNaWJWajC99rtpPeUHNJF2xcxWA49Ieitseg+xb53Va6VHqaZRapCLcY+M5uLvuqqol7qlZpmM9nwnuB93N1ZJ/VE57/cDz9XgaPPkC++RpqdolFrkRDZ/EZt5THLvAcf46Z1xdz1L/OfpuEdYvcPoqnATcApD76IqMW2W6gj3KGilbzz2Al7ul9dLo7OE5lLV1Dtes7SSdqSV9EYt0ZZ3ILjnhqdKGgB6gf8eZv35wDlyKQ/WMzRvzS0MpgOoVLpK2pC3Ae+S1IvLsPtFGmBmPXJdHr/rf1jGAN/GPbf8uZ8n4HQze0ZD33kfB5wv6TgGH4nh7y4uxD0CewifZdhvfybudncJtX88JwO/8XcrAo5vFH8d3gv8SC7X08O4JI+tUkm7cjvujq8e7wR+KOnzuHcFF1C7N1AlPcpO+PQocr4TmzCze/1+rvYNeS/uSnKpv7q8F3iBmW2W0wt3Bbu/P7aRSN1Sq0xI53xjZhvlnPMu8j+otwE/MrNuuZe7V0jqwtXTffxmX8LVtcX+x2YJ7l1GvWPcL2kbSZOtKgmimV1ZREy4R4af9d+3AeAj/vEkuHc2v6usKGlRo7tUf1e3WScGM7ta0vNxqY7AvWt5F+4x4rH+N+IB3GMscIN7z9GgCVnlTvY04EJJ78al9akXR73jNZtxYqTnEBLfMzNrtuNBS8SBhJG2xD+yW2tmm/1IRJpDrkfRGjM7a9iVC0bSxcCJ1Y9yIsXSlo+wIpFIKvyQoc/RS4mkcbheSbHxKBnxDiQSiUQiLRHvQJpADVKO1Fh3B0m/GuH+kwMKj1Vt06nh9rGtWkgPrYQ3ddX8czWCFBbtgEqcPiUSaUfa9SV6U0jqTHSx3exzg+3G2OCIWMzsMgbHPDTEnM9Fyz+8ZvajFjfdFjd48oxWj50n1ee4HWjHmCORLGnbOxDVSE/h51enFhlJao6vyvl8H1d1rOQdwlvljWIk3Vgjrk1XuaqTbsAve5+kB/3xXpGYv+mOQNLucokO75RLz7KbnF/6dRpM11JJD/E1YDd/Pk7129dL2XCSpAckXYvrKlmPQ+VSiTwoqeIPfZMS7nNyqReGdG+W61p7jo/vDjm3wc3SPNTT4s/hfaqd5uQlXs/N8mlG/PxO/7mi97/qaBojl0pksaRfadBJsGZamEb1IhLZ4hnJsPWy/FEnPYWf3pRaxH9eQvOpOc6oc7xjGEw5chewoyXSGlStuwtwd2K7zdIN4EYBP4pLpzEONwaksv/5wDw/fQs+nYPffivcXeMUG0yh8Hdcl9FNx7XGKRQqvvBbAVP89vNq6DgX17WxAzdy9nEfw3sT52wP4G81tv0UcI6f3strncDmaR4aaamX5uRu4AA//bXEuf4w8Hk/PR43+Oy5NcrGcMZd4FJHVM51vbQwdetF/It/W/pfu96B1ExP4ZclU4tUaDY1R63BZNX8GThXLnlfM9lea6UbeBlwvZktN5dpdLPjyqVs2NHMLgHXD9/M1uN+YL8q11/9Wlw/9Voje+ulUDgQN+p6vblBe40ezV1oZgNm9hCuIdwLuAh4rdxApffjGppqkqlj7sc1nJXxGck0D420PGKbpznZFphsZpV06+dX6X2Prw+34PIYbZb8EnjMzCopS37uY4XGaWGaqReRyBZHu74DaZSeIplapEKzqTmGXc/MjpVLI3Akzut8tpk93WCTeukGhuv+Vi91xDtxdy5zzKxXLgvoZikpqJ9C4ZNNHLvCZqlCzI3UvQaX8O1o4MUjiB2GnuNGWmqlOWm0X+ESaV7VYB2ooUnDp4Vptv5EIlsU7XoH0ig9RV0shdQcknYzl/DtZKCL5pIGVnMLcJCk6f5K/q01Yl0NPC7pjf644/3z+m2Ap/wP7sEMJlBbgxsJXaFeCoUbgaMkTfR3Oa9rEOdbJXXIpanYFTdCF+As4LvAbYm7iSTJ1DF74EaK1+rDX09LTcxsJbBG0sv9rLcnFl8F/LcG06HvIWnrGrvZST7VDC7txp9oIi1MJBLZnLa8A7EG6Sma2Hy0qTlOlfMFEa4hG7Hhjpk94a9ybwaewD1iqvU47N04U50v4jS+FfgF8FtJf8N5Ndzv9/m0f6F9Ny7b66dVI4WCmd0u6Zd+26X4vF91eADXwG4HHOsfw2FmCyWtBs6ps90ZuHN8F+5dxjHmUl5Ur1dTyzB8ADhTLtHe9UAlE/NZuHcct/sX4Mtxea6quQ94r6Qf49KQ/NDfVQ2XFgZwXbpxdyonNxFrJBI0cSBhZMTIJbO8HtjLXCrqPI89yVyqfeTG5mxvZrF3VCRSAO36CCtSEHKDHG8BTsq78fAcKddV+W5ch4DN3A8jkUg+xDuQSCQSibREvAOJRCKRSEvEBiQSiUQiLREbkEgkEom0RGxAIpFIJNISsQGJRCKRSEvEBiQSiUQiLfH/ARKwq8SLeg32AAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 432x1152 with 1 Axes>"
       ]
@@ -2129,12 +2143,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x432 with 1 Axes>"
       ]
@@ -2184,9 +2198,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python (pydata)",
+   "display_name": "Python [conda env:numpyro]",
    "language": "python",
-   "name": "pydata"
+   "name": "conda-env-numpyro-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -2198,7 +2212,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.9"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/source/structure_network_dynamics.ipynb b/notebooks/source/structure_network_dynamics.ipynb
new file mode 100644
index 000000000..b54fa7315
--- /dev/null
+++ b/notebooks/source/structure_network_dynamics.ipynb
@@ -0,0 +1,1363 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Network Backboning with Latent Dynamics Inference\n",
+    "\n",
+    "Author: Thurston Sexton\n",
+    "\n",
+    "Date: 2020.06.23"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from functools import partial\n",
+    "import numpy as onp\n",
+    "import pandas as pd\n",
+    "import networkx as nx\n",
+    "import random\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from matplotlib import cm\n",
+    "%matplotlib inline\n",
+    "\n",
+    "import jax.numpy as np\n",
+    "from jax.random import PRNGKey\n",
+    "from jax import jit, grad, lax, random, vmap\n",
+    "from jax.ops import index_update, index, index_add\n",
+    "from jax.nn import one_hot\n",
+    "from jax.experimental import ode\n",
+    "\n",
+    "import numpyro as ny\n",
+    "import numpyro.distributions as dist\n",
+    "\n",
+    "# testing other numpyro goodies\n",
+    "from numpyro.util import fori_loop\n",
+    "from numpyro.infer.autoguide import AutoBNAFNormal\n",
+    "from numpyro.contrib.autoguide import AutoContinuousELBO\n",
+    "from numpyro.infer.reparam import NeuTraReparam\n",
+    "from numpyro.infer import  ELBO, SVI, NUTS\n",
+    "from numpyro.infer.util import initialize_model, potential_energy, init_to_value"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Synthesize Data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Underlying Network Structure"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def squareform(edgelist):\n",
+    "    \"\"\"edgelist to adj. matrix\"\"\"\n",
+    "    e = edgelist.shape[0]\n",
+    "    n = ((1 + np.sqrt(1 + 8*e))/2.).astype('int32')\n",
+    "    empty = np.zeros((n,n))\n",
+    "    half = index_add(empty, index[np.triu_indices(n,1)], edgelist)\n",
+    "    full = half+half.T\n",
+    "    return full\n",
+    "\n",
+    "def edgelist(squareform):\n",
+    "    n = squareform.shape[0]\n",
+    "    idx = index[np.triu_indices(n,1)]\n",
+    "    return squareform[idx]\n",
+    "\n",
+    "def synthesize_network(\n",
+    "    n_nodes,\n",
+    "    *gen_func_args,\n",
+    "    gen_func=nx.connected_watts_strogatz_graph,\n",
+    "):\n",
+    "    n_edges = n_nodes*(n_nodes-1)//2\n",
+    "    g = gen_func(n_nodes, *gen_func_args)\n",
+    "    e = onp.random.beta(5,1,size=(n_edges,))\n",
+    "    p = onp.array(\n",
+    "        squareform(e)*nx.to_numpy_array(g)\n",
+    "#         0.3*nx.to_numpy_array(g)\n",
+    "    )\n",
+    "\n",
+    "    for src,trg in g.edges:\n",
+    "        g.edges[src,trg]['weight'] = p[src,trg]\n",
+    "    return g, edgelist(p), p"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "n_nodes = 10\n",
+    "g, e, p = synthesize_network(n_nodes, 3, 0.33)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, '\"True\" transmission matrix')"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def nodeplot(u):\n",
+    "    plt.figure()\n",
+    "    plt.imshow(u.reshape(-1,1).T, vmin=0, vmax=1)\n",
+    "    plt.axis('off')\n",
+    "\n",
+    "def adjplot(p):\n",
+    "    plt.figure()\n",
+    "    plt.imshow(p, vmin=0, vmax=1)\n",
+    "    plt.axis('off')\n",
+    "adjplot(p)\n",
+    "plt.title('\"True\" transmission matrix')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dynamic Spreading/Diffusion Process"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Sources\n",
+    "n_obs = 20\n",
+    "sources = onp.random.choice(n_nodes, size=(n_obs,1))\n",
+    "init = onp.zeros((n_obs, n_nodes))\n",
+    "onp.put_along_axis(init,sources, 1, 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f4ae02e6850>,\n",
+       " <matplotlib.lines.Line2D at 0x7f4ae02e69a0>,\n",
+       " <matplotlib.lines.Line2D at 0x7f4ae02e6c40>,\n",
+       " <matplotlib.lines.Line2D at 0x7f4ae02e6880>,\n",
+       " <matplotlib.lines.Line2D at 0x7f4ae02e6c70>,\n",
+       " <matplotlib.lines.Line2D at 0x7f4ae02e6d30>,\n",
+       " <matplotlib.lines.Line2D at 0x7f4ae02e6d00>,\n",
+       " <matplotlib.lines.Line2D at 0x7f4ae02e6e20>,\n",
+       " <matplotlib.lines.Line2D at 0x7f4ae02e6a30>,\n",
+       " <matplotlib.lines.Line2D at 0x7f4ae025a040>]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Test New way to diffuse\n",
+    "# http://www.michelecoscia.com/wp-content/uploads/2020/03/FULL-CosciaM1099.pdf\n",
+    "# https://arxiv.org/pdf/1603.06790.pdf\n",
+    "\n",
+    "@jit\n",
+    "def laplacian(p):\n",
+    "    return np.diag(p.sum(axis=0))-p\n",
+    "\n",
+    "@jit \n",
+    "def df_dt(f, t, L, k):\n",
+    "    return -k*np.matmul(L,f[...,None]).squeeze(-1)\n",
+    "#     return -k*L.dot(f)\n",
+    "\n",
+    "\n",
+    "# inspiration from survival analysis\n",
+    "def hazard_to_cdf(h):\n",
+    "    cum_hazard = np.cumsum(h, axis=0)\n",
+    "    return 1 - np.exp(-cum_hazard)\n",
+    "\n",
+    "L = laplacian(p)\n",
+    "t = np.linspace(0,4,50)\n",
+    "c = hazard_to_cdf(\n",
+    "    ode.odeint(df_dt, \n",
+    "               init.astype('float32'),\n",
+    "               t, L, .9\n",
+    "    ))\n",
+    "plt.plot(t, c[:,3,:])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "adjplot(c[0,:,:])\n",
+    "adjplot(c[10,:,:])\n",
+    "adjplot(c[100,:,:])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# OLD WAY\n",
+    "def a_or_b(a,b):\n",
+    "    \"\"\"probability of a or b is not(not a & not b)\"\"\"\n",
+    "    return 1 - onp.multiply(1-a, 1-b)\n",
+    "\n",
+    "\n",
+    "def spread(p,u,t, T=5):\n",
+    "    \"\"\"modified https://arxiv.org/pdf/1511.01062.pdf\n",
+    "    p: transmission probability matrix\n",
+    "    u: vector of node states (infection)\n",
+    "    T: num. iterations to observe final states at\n",
+    "    \"\"\"\n",
+    "    # u_add = p@u  # pure heat kernel grows uncontrollably\n",
+    "    # u_p = onp.clip(u + u_add, 0,1)  # clip from paper above\n",
+    "    # u_p = onp.clip(a_or_b(u, u_add), 0,1)  # convolve and clip\n",
+    "\n",
+    "    \n",
+    "    u_add = onp.tanh(p@u)   # tanh approx probability of transmission\n",
+    "    u_p = a_or_b(u, u_add)  # probability convolution (w/past)\n",
+    "    \n",
+    "    if t==T:  # end\n",
+    "        return u_p\n",
+    "    else:  # recurse\n",
+    "        return spread(p,u_p, t+1, T)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'T=2 realize infection')"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAAA/CAYAAABDwxtSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAGgklEQVR4nO3cb4wV1R3G8e+DqJSsIoiVgCBFSC20lVeCmiggESWaaky08U8pmBRj0sZ2SSQVrP/SEtSENFVjWv9ViMX4QtNGlKhZMNJGtGlrrG+oXagoaqkUSCEC/vpizurxOndl2fXc3ezzSSaZM2fmzJlh97lnzlxWEYGZmZUxpNUdMDMbTBy6ZmYFOXTNzApy6JqZFeTQNTMryKFrZlaQQ9cGPEl7JU3qxfFvSJrVh13qc5ImSgpJQ1vdF+sdh24/lwKla/lY0r6sfHUP2lkg6TVJuyW9LWlld7/A6Rd8ct9cxZcrItoi4q1eHD8tIjr6sEtmTTl0+7kUKG0R0QZsAy7Jtq3pQVPDgRuB0cAM4HxgyZH2yyOuvuX7OXg4dAeJiLg/Il6KiI8iYjuwBjinbl9JG9PqX9OI+kpJs9II+SZJO4CHJY2U9AdJH0j6MK2fkrXTIekOSS9L2iNpvaTRqW6YpNWSdkraJWmzpJOz4+6UtCmd//eSTpS0Jo3UN0uamJ3nk1G5pPmS/p7Ot13SkrR9dOrfLkn/kfSSpCGprlPS3LR+rKRVkt5JyypJx6a6rnvQLul9Se9KWtjsnqfr+IWkVyT9V9LTkkaluq7pguskbQNelDRE0jJJW1P7v5U0oqHZRalf70pqP7x/fetPHLoDnKSrUpA0WyY0OfRc4I26iog4N62ekUbUa1N5DDAKOBX4AdXPz8OpPAHYB/yqobmrgIXAV4Fj+HR0vQAYAYwHTgSuT8d3+S5wLTAOOA34YzrXKOBN4GdNrutBYHFEHAd8E3gxbW8H3gZOAk4GfgrU/R/4m4GZwHTgDOBMYFlWPyb1exxwHXCvpJFN+gLwPWARMBY4CPyyof484BvAPOD7aZkNTALa+Pz9nA1MAS4AlnZ9WNgAEhFeBsgCdAJz+6CdhVQBNLqbfQKYnJVnAR8Bw7o5ZjrwYVbuAJZl5RuAZ9P6ImAT8O2adjqAm7PyPcC6rHwJ8Je6vlJNwSwGjm9o83bg6fya6u4r8A9gflY3D+jM7sE+YGhW/z4ws8n96ABWZOWp6R4eBUxM/Z6U1b8A3JCVvw4cAIZm+5+e1a8EHmz1z6WXni0e6Q4yki4FVgAXRcS/e3j4BxGxP2truKQH0uPwbmAjcIKko7JjdmTr/6MavQE8BjwH/C49Lq+UdHS273vZ+r6achv1LgfmA1slbZB0Vtp+F7AFWC/pLUlLmxw/FtialbembV12RsTBJtdU518NbR1NNa9eV1937qFUI/Nm7eV9swHAoTvASbq64RsOjcuEbN8LgV9TvYx7/QhO1/g43k41GpsREcdTTVkA6AsbijgQEbdFxFTgbOBiqkfxXomIzRHxHarpjKeAJ9L2PRHRHhGTqEbKP5F0fk0T71BNl3SZkLYdqfENbR0A8g+7/J7Wnfsgn/3AaWyvN32zFnDoDnARsSaybzjULNsAJM2henl2eUS8chhNv0c1r9id46hGnbvSC6Jm86yfI2m2pG+lUfFuqjA6dLjHN2nzmPQhNCIiDqR2D6W6iyVNlqRse935HgeWSTopvfS7BVjdi25dI2mqpOFUUxxPRkSz63wc+LGkr0lqA34OrG0YWS9PTxjTqKaJ1tY1ZP2XQ3fwWE71AuiZbBS8rpv9bwUeTS/jrmiyzyrgK1Qjtz8Bz/agP2OAJ6kC8E1gA70Lty7XAp1puuN64Jq0fQrwPLCX6qXcfVH/3dw7gVeBvwGvA39O247UY8AjVNMsw4AfdbPvQ2n/jcA/gf3ADxv22UA1TfICcHdErIdPnnhqX4xa/6II/xFzsy+DpA5gdUT8ptV9sf7DI10zs4IcumZmBXl6wcysII90zcwK6vaPbHy8Y0rLh8Hzxk5vdRcA2L707FZ3gXErNrW6C9Zgy6qZre4C6y+7u9VdAGDu8ze2ugusnXN/q7sAwMxTO5t+V90jXTOzghy6ZmYFOXTNzApy6JqZFeTQNTMryKFrZlaQQ9fMrCCHrplZQQ5dM7OCHLpmZgU5dM3MCnLompkV5NA1MyvIoWtmVpBD18ysIIeumVlBDl0zs4IcumZmBTl0zcwKcuiamRXk0DUzK8iha2ZWkEPXzKwgh66ZWUEOXTOzghy6ZmYFOXTNzApy6JqZFeTQNTMryKFrZlaQQ9fMrCCHrplZQQ5dM7OCFBGt7oOZ2aDhka6ZWUEOXTOzghy6ZmYFOXTNzApy6JqZFeTQNTMr6P/1EQ+v7lJoRAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Example\n",
+    "u = onp.array([1]+(n_nodes-1)*[0])\n",
+    "u_p = spread(p,u,0, T=1)\n",
+    "# real = onp.random.binomial(1, u_p)\n",
+    "real = u_p>=0.5\n",
+    "\n",
+    "nodeplot(u)  \n",
+    "plt.title('source node')\n",
+    "nodeplot(u_p)  \n",
+    "plt.title('T=2 transmission prob.')\n",
+    "nodeplot(real)\n",
+    "plt.title('T=2 realize infection')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Synthetic Observations of Repeated Diffusion"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "# realize = lambda x, T: onp.random.binomial(1, spread(p, x, 0, T))\n",
+    "realize = lambda x, T: (spread(p,x,0,T) >= 0.8).astype('int32')\n",
+    "# use this\n",
+    "infections = np.stack([realize(i, 1) for i in init])\n",
+    "\n",
+    "# to compare \n",
+    "late = np.stack([realize(i, 1) for i in infections])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfgAAAEsCAYAAAAvh6FGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAATGklEQVR4nO3dfbBtd3kX8O/TEIFp00q4gKFVU1M6vBQT2zsggTIp6WCKnYJ90cbyIm0nqIWizjCDU0fCVG1RxloraF9IQyjSF5QaKJOCcWgQacMNSUia6QtCStMwjdeATbGgCY9/7BVyuN5zzz77nr32Pr/7+czsOWuvs15+Z63n7O9ea6+1f9XdAQDG8iWbbgAAcPAEPAAMSMADwIAEPAAMSMADwIAetukGLKOqruvuy5aY1C0Bh0BV7XueFe/22P+Kds6s7oaySt2tortXXtGyNVdV+645d0wtzPj6s/GaOyxH8Ec23QDOSOqOuak5DsxhCXgAYB8EPAAMaCMBX1WXVdVvV9VHq+rVm2gDAIxs9oCvqrOSvCHJtyR5cpLLq+rJc7cDAEa2iSP4pyX5aHd/rLv/T5KfT/L8DbQDAIa1iYD/yiS/v+P5XdO4L1JVV1TVsao6FleWMhN1x9zUHOuyiYA/2f16/99Nht39U919tLuPJjm+/maBumN+ao512UTA35Xkz+54/lVJ7t5AOwBgWJsI+A8leUJVfXVV/akk353k2g20AwCGNftX1Xb3/VX18iS/muSsJFd192/O3Q4AGNlGvou+u9+d5N2bWDcAnAkORWczjGWVjhvm7CBiv7a5bdvOtuN0zNWZy1zrOWi+qhYABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABiTgAWBAAh4ABvSwTTeAg1dV+56nu9fQkoOzze2bq22r7Ndktfatuq5tts01tF/26bzmrJ2D3E+O4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQHqTG9BIvWY9aJt7yJurbXPu123edtu+rjm23Tb/P8xprn16WHvicwQPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIJ3NDGjEjii2uX3b3jHLKu07rJ1rnMo219B+2afzmrN2DnI/OYIHgAEJeAAY0EZO0VfVnUnuS/JAkvu7++gm2gEAo9rkZ/Df1N3HN7h+ABiWU/QAMKBNBXwneU9V3VRVV5xsgqq6oqqOVdWxJEfmbR5nKnXH3NQc61KbuHWkqh7f3XdX1WOTvDfJK7r7hlNMf2zJz+nHuQ/mNIx4m9yKTut+k22rO7fJLRyCWl15462z5rZ5n267bb9NrrtPOtNGjuC7++7p5z1J3pHkaZtoBwCMavaAr6ovrapzHhxO8twkt8/dDgAY2Sauon9ckndMpyEeluTfd/d1G2gHAAxr9oDv7o8luXDu9QLAmcRtcgAwIJ3NDGjEzk+22Vx3Lcy53bZ5H6k7d8rM7bDWnCN4ABiQgAeAAQl4ABiQgAeAAQl4ABiQgAeAAQl4ABiQgAeAAQl4ABiQgAeAAQl4ABiQgAeAAelsZkajdRCxzW2b07Zvh1U7ytivubbDtm/vOWz7Npir5lZxJnX05AgeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQDqbmdG2dxCxX6t2KGE7HN7OK7aBulNzc5uz5g5y3zqCB4ABCXgAGJCAB4ABCXgAGJCAB4ABCXgAGJCAB4ABCXgAGJCAB4ABCXgAGJCAB4ABCXgAGJDOZljZnB1KbHvnGqxmzv26aoch+6Xu5jPXPl3Vptu3VMBX1cVJzt85fXdfs6Y2AQCnac+Ar6q3JLkgyS1JHphGdxIBDwBbapkj+KNJntzOOwHAobHMRXa3J/kz624IAHBwljmCP5Lkjqq6McnnHhzZ3d+2tlYBAKdlmYC/ct2NAAAO1p4B392/NkdDAICD44tuAGBAAh4ABiTgAWBAKwV8VV15wO0AAA7QqkfwNx1oKwCAA7VSwHf3Ow+6IQDAwdkz4Kvqn1fVl1fV2VV1fVUdr6oXztE4AGA1yxzBP7e7/yjJtya5K8nXJnnVWlsFAJyWZQL+7Onn85K8rbvvXWN7AIADsEzAv7OqfiuLXuWur6rHJPnsXjNV1VVVdU9V3b5j3LlV9d6q+t3p56NWbzoAsJs9A767X53kGUmOdvf/TfKZJM9fYtlXJ7nshHGvTnJ9dz8hyfXTcwDggC1zkd0jkrw0yS9V1X9I8rIkn95rvu6+IcmJp/Ofn+TN0/Cbk7xgX60FAJayTG9y1yS5L8lPTM8vT/KWJN+1wvoe192fTJLu/mRVPXa3CavqiiRXTE+PrLAu2Dd1x9zUHOtS3X3qCapu7e4L9xq3y7znJ3lXd3/d9PzT3f2nd/z+U9295+fwVXWsu4/uNV2SU/8xHFpVte95unv/M33xOpequ6rad93t9X93plhxv862rlWcTt2puf2Za59uu91qbpmL7G6uqr/84JOqenqSD6zYjj+sqvOm5ZyX5J4VlwMAnMKup+ir6rYsjojPTvLiqvrE9Ks/l+SOFdd3bZKXJPnR6ed/WnE5AMApnOoz+G89nQVX1duSXJLkSFXdleQ1WQT7L1bV9yX5RFb7HB8A2MOuAd/dv/fgcFVdmOQbp6fv7+5b91pwd1++y68u3VcLAYB9W+Y2uVcmeWuSx06Pn6uqV6y7YQDA6pa5Te77kjy9uz+TJFX1uiQfzEO3zR1qc17Fy+q2eZuv0rY5r/4dbdsdhnWtm5pb3Ta37aAtcxV9JXlgx/MHpnEAwJZa5gj+Z5P8RlW9Y3r+giRvWl+TAIDTtWfAd/e/rKr3JXlWFkfuL+3um9fdMABgdcscwae7P5zkw2tuCwBwQJb5DB4AOGQEPAAMSMADwIAEPAAMSMADwIAEPAAMSMADwIAEPAAMaKkvuhnZmdTxwKnodGdeI267uTozmXPbbev/xVztmrODmrnWNec+3fT/hCN4ABiQgAeAAQl4ABiQgAeAAQl4ABiQgAeAAQl4ABiQgAeAAQl4ABiQgAeAAQl4ABiQgAeAAZ3xnc1su7k6Rhix8xMW5uwwZL+2ve62tX3b2q4HbXPNzWnT+8kRPAAMSMADwIAEPAAMSMADwIAEPAAMSMADwIAEPAAMSMADwIAEPAAMSMADwIAEPAAMSMADwIB0NrPl5uqsYK5ObZjfNtfQttfdtrZvW9t1OusasYOauf6m3ba3I3gAGJCAB4ABCXgAGJCAB4ABCXgAGJCAB4ABCXgAGJCAB4ABCXgAGJCAB4ABCXgAGJCAB4AB6WxmQNveEQWrWbXjCh1/rG5b/y+2fZ+qn4VN7ydH8AAwIAEPAAMS8AAwoLUFfFVdVVX3VNXtO8ZdWVV/UFW3TI/nrWv9AHAmW+cR/NVJLjvJ+B/r7oumx7vXuH4AOGOtLeC7+4Yk965r+QDA7jbxGfzLq+oj0yn8R+02UVVdUVXHqupYkiMzto8zmLpjbmqOdal13udZVecneVd3f930/HFJjifpJD+c5Lzu/t4llnOsu48uscrtvGl1Zu6D/4LTuqF02+rOffALh6BWV95466y5bd6n227Omlvx9fukM816BN/df9jdD3T355P8dJKnzbl+ADhTzBrwVXXejqd/Lcntu00LAKxubV9VW1VvS3JJkiNVdVeS1yS5pKouyuL00p1JXrau9QPAmWxtAd/dl59k9JvWtT4A4CE6mxnQtl+E5CLA1cy5DUbc3nNdZDbHtvM/tLozqdMdX1ULAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwIAEPAAMS8AAwoIdtugGHUVWtNF93H3BLDifbYfUaWsVc23uVv2nOWhip7lb5W7a95uZs31w2XXOO4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAaks5kVbLoDgTPRNndkss1tm9NcHYysuu3m6sxkjn07Ys1tcwc1294Rzm7bzhE8AAxIwAPAgAQ8AAxIwAPAgAQ8AAxIwAPAgAQ8AAxIwAPAgAQ8AAxIwAPAgAQ8AAxIwAPAgA5LZzPHl5xuu3sEYGUb6ihjqbrrbnW3ojn367Z3tjJRc/twSPbpxpQNBADjcYoeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQAIeAAYk4AFgQIflm+yWUlXXJTmy6XawFY5392VzrEjdscMsdafm2GHXmvNNdgAwIKfoAWBAAh4ABiTgAWBAAp6lVdWdVeXCHoBDQMAfIlU11F0PnJ6q+m9LTPONVfWbVXVLVT1yn8t/QVU9eYV2/fEJzy+oqquq6vaq+nBV/VhVPWr63VOntt1SVfdW1cen4f+85LpeXlUfrar25nMe6i6pqrdW1W9Py76qqs7eb3vnIODXpKq+tKp+papunYrgb0zjL62qm6vqtqkwHj6N/8LRcVUdrar3TcNXVtVPVdV7klxTVY+rqndMy721qi6epnthVd04FelPVtVZJ2nTnVX12qnYb6uqJ07jz62qX66qj1TVr1fVX5zGP7qq3jO19yeT1I5l7bk+1qu7L15isu9J8vruvqi7/2Sfq3hBkn2/0O5UVU9P8otJfiHJhUmOJvlAkuuq6tHdfdvUtouSXJvkVdPzb15yFR9I8s1Jfu902sny1F2S5K1JnpjkqUkemeT7T6e9a9PdHmt4JPmOJD+94/lXJHlEkt9P8rXTuGuS/L1p+M4kR6bho0neNw1fmeSmJI+cnv/CjnnOmpb7pCTvTHL2NP6NSV58kjbdmeQV0/DfTfIz0/BPJHnNNPycJLdMw/86yT+ehv9qks7i3tul1uex9hr74+nnJUnel+TtSX4rixefyuJF594kH0/y1mnaVyX5UJKPJHntjmW9eBp3a5K3JLl4x7y3JLlgelw31eP7kzxxmverk3xwWu4P72jXWUluTPL4k7T90iRvOGHc1Um+c8Vt8YX/Hw91N1fdTfP//ST/dNP75WQPp3zX57Ykr6+q1yV5V3e/v6ouTPLx7v6daZo3J/mBJP9qj2Vd2w+9C35OFv8U6e4HkvyvqnpRkm9I8qGqShbvKO/ZZVn/cfp5U5Jvn4aflcUbknT3f5mO3L8iybMfnKa7f6WqPjVNf+k+1sc8/lKSpyS5O4sjlWd2989U1bOyqL+3V9VzkzwhydOyeCG+tqqeneR/JvmhaZ7jVXVud99bVdc+OG+SVNX1Sf52d//udIT0xizq8ceT/NvuvqaqfmBHmy5N8t7uvruqvj+LN5U3J3l4d7+wql5zqj+oqs7J4gX9ZP5md9+x763EQTuj6246Nf+iJK9ceovNSMCvSXf/TlV9Q5LnJfmR6RT7taeY5f489JHJI0743Wf2WF0leXN3/8Mlmva56ecDeWj/10mm6xN+rro+5nFjd9+VJFV1S5Lzk/zXE6Z57vS4eXr+ZVm88F6Y5O3dfTxJuvveExdeVV+WxdHVL01v6pLk4dPPZ2Z6g5jFUdjrpuELk/x6VT0mixfBi7M4pfnz0+8/WVWP6e7/cbI/qLvvS3LRXn84G3Wm190bk9zQ3bu9Idgon8GvSVU9Psn/7u6fS/L6JF+fxWms86vqa6bJXpTk16bhO7M4Kk4eKtqTuT7J35nWcVZVffk07jur6rHT+HOr6s/vo7k3ZPGZWarqkiy++vCPThj/LUketaMNp7M+Dt7ndgzvfPO2UyX5kZ4+e+zur+nuN03j9/pKyy9J8ukd817U3U/a8fvd3gg+kOQvJPlgd3+2uz+U5Pj0+3OTfOok8y1mrjpnx4VQJz5O6zNaDswZW3fTmYDHJPkHe/wNGyPg1+epSW6c3tX+UJJ/0t2fTfLSLN6N3pbk80n+3TT9a5P8eFW9P4vi3M0rk3zTNP9NSZ4ynTL6R0neU1UfSfLeJOfto61XJjk6zfujSV6yo03PrqoPZ/EO/BNJcgDrYzN+Ncn3TkdFqaqvnN6kXZ/kr1fVo6fx507T35fknCSZ3vB9vKq+a5qmpo+cksWp2e+ehr9nx/puS/KMJB9L8oyqenhVfX2SI1X1nCR/0N3379bY7r7vhBf2nQ+n5w+P4epuOvX/V5Jc3t2fP62ts06bvgjAw8NjtUe++GKnd+0Y/2+S/K1p+OrsuIAoizeIt02PDya5YBr/kiS3Z3Gx09XTuGcmuSOLU6sXZHFR03XTNHfkoQswd17s9Ood7Tp7WuZXJXnZtJw3JfnlJG9Ics4Jf88XtXXJbfCDSe7K4iOuuzNdOOqh7tZcd/cn+e9ZXAh4y4Nt2raHzmaAtZkupvoXSX6wu39jup3yWUm6u2/YbOsYlbpbEPDAWlXVk7L4SOcpSf4ki+tO/lkvTr/CWqg7AQ8AQ3KRHQAMSMADwIAEPAAMSMADwID+HyhmnsuzTbUgAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 576x720 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f, ax = plt.subplots(ncols=3, sharex=True, sharey=True, figsize=(8,10))\n",
+    "ax[0].spy(init)\n",
+    "ax[0].set_xlabel('source node')\n",
+    "ax[0].set_ylabel('obs. n')\n",
+    "# plt.axis('off')\n",
+    "\n",
+    "\n",
+    "ax[1].spy(infections)\n",
+    "ax[1].set_xlabel('infected@T=1')\n",
+    "\n",
+    "\n",
+    "\n",
+    "ax[2].spy(late)\n",
+    "ax[2].set_xlabel('infected@T=2')\n",
+    "ax[0].set_xticks([])\n",
+    "\n",
+    "sns.despine(f, offset=10)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Easier to see on the network."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1296x720 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f,ax = plt.subplots(nrows=2, ncols=3, figsize=(18,10), sharex=True, sharey=True)\n",
+    "pos = nx.layout.fruchterman_reingold_layout(g)\n",
+    "get_weights = lambda g: [v for k,v in nx.get_edge_attributes(g,'weight').items()]\n",
+    "\n",
+    "nx_draw_opts = dict(\n",
+    "#     edge_color=weights,\n",
+    "#     edge_color='grey',\n",
+    "    pos=pos, \n",
+    "    with_labels=False, \n",
+    "    node_size=50,\n",
+    "    edge_cmap=cm.binary,\n",
+    "    edge_vmin=0,edge_vmax=1,\n",
+    ")\n",
+    "for n,axis in enumerate(ax):\n",
+    "#     infected = infect_on_network(a)(x0, T=(n+1)*5)\n",
+    "    nx.draw_networkx(g, ax=axis[0], \n",
+    "                     node_color=init[n], node_cmap=cm.Paired,\n",
+    "                     edge_color=get_weights(g),\n",
+    "                    **nx_draw_opts)\n",
+    "    nx.draw_networkx(g, ax=axis[1], \n",
+    "                     node_color=infections[n], node_cmap=cm.Paired,\n",
+    "                     edge_color=get_weights(g),\n",
+    "                    **nx_draw_opts)\n",
+    "    nx.draw_networkx(g, ax=axis[2], \n",
+    "                     node_color=late[n], node_cmap=cm.Paired,\n",
+    "                     edge_color=get_weights(g),\n",
+    "                    **nx_draw_opts)\n",
+    "    axis[0].set_ylabel(f'Obsv. {n}')\n",
+    "\n",
+    "for n,axis in enumerate(ax.flatten()):\n",
+    "    sns.despine(left=True, bottom=True)\n",
+    "ax[1][0].set_xlabel('source')\n",
+    "ax[1][1].set_xlabel('infected@T=2')\n",
+    "ax[1][2].set_xlabel('infected@T=3')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Backboning: Recover Structure"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Naive Way (cosine similarity+threshold)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def cosine_sim(X):\n",
+    "    norm = X/onp.sqrt((X**2).sum(axis=0))\n",
+    "#     cos = X.T.dot(X)/(onp.sqrt((X**2).sum()))\n",
+    "    cos = norm.T.dot(norm)\n",
+    "    return cos - onp.diag(onp.diag(cos))  # valid adjacency\n",
+    "\n",
+    "# compare\n",
+    "adjplot(p)\n",
+    "adjplot(cosine_sim(infections))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# jax version of `spread`\n",
+    "def diffuse_one_step(p, u):\n",
+    "    u_add = lax.tanh(np.matmul(p,u[...,None]).squeeze(-1))  # from neighbors\n",
+    "    u_p = 1-(1-u)*(1-u_add)  # combine with self\n",
+    "    return u_p, u_add\n",
+    "\n",
+    "# Should @jit? see: https://github.com/google/jax/issues/2251#issuecomment-587742824\n",
+    "def diffuse(p, T, u_init):\n",
+    "    \"\"\"\n",
+    "    modified https://arxiv.org/pdf/1511.01062.pdf\n",
+    "    p: transmission probability matrix\n",
+    "    u_init: initial infection node states\n",
+    "    T: num. iterations to observe at\n",
+    "    \"\"\"\n",
+    "    def scan_fn(u, t):\n",
+    "        return diffuse_one_step(p, u)\n",
+    "    \n",
+    "    u_end, _ = lax.scan(scan_fn, u_init, np.arange(T))\n",
+    "    return np.clip(u_end, a_max=1.-1e-6)\n",
+    "\n",
+    "# def batched_diffuse(p, T, u_obs):\n",
+    "#     \"\"\" batched over rows of u observations (`vmap`)\n",
+    "#     \"\"\"\n",
+    "#     return vmap(partial(diffuse, p, T))(u_obs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def structure_recovery(infections=None):\n",
+    "    n_cascades, n_nodes  = infections.shape\n",
+    "    n_edges = n_nodes*(n_nodes-1)//2 # complete graph\n",
+    "        \n",
+    "    # node initial infection, relative probability\n",
+    "    ϕ = ny.sample(\"ϕ\", dist.Dirichlet(np.ones(n_nodes)))\n",
+    "    \n",
+    "    # beta hyperpriors\n",
+    "    u = ny.sample(\"u\", dist.Uniform(0, 1).expand([n_edges]).to_event(1))\n",
+    "    v = ny.sample(\"v\", dist.Gamma(1, 20).expand([n_edges]).to_event(1))\n",
+    "#     Λ = ny.sample(\"Λ\", dist.Beta(u*v, (1-u)*v).to_event(1))\n",
+    "    \n",
+    "    # Separate out sparsity structure from interaction strength\n",
+    "    # http://proceedings.mlr.press/v32/linderman14.pdf\n",
+    "    ρ = ny.sample('ρ', dist.Beta(u*v, (1-u)*v).to_event(1))  # transmission\n",
+    "    A = ny.sample('A', dist.Bernoulli(probs=ρ).to_event(1))  # sparse adjacency\n",
+    "    s_ij = squareform(ρ*A)  # adjacency matrix to recover via inference\n",
+    "    \n",
+    "    adjplot(s_ij) # FOR TESTING\n",
+    "    \n",
+    "    with ny.plate(\"n_cascades\", n_cascades, dim=-1):\n",
+    "        # infer infection source node\n",
+    "        x0 = ny.sample(\"x0\", dist.Categorical(probs=ϕ))  # hierarchical model\n",
+    "#         x0 = ny.sample(\"x0\", dist.Categorical(probs=np.ones(n_nodes)/n_nodes)) # flat prior\n",
+    "        \n",
+    "        # encode as one-hot vectors\n",
+    "        src = one_hot(x0, n_nodes)  \n",
+    "        \n",
+    "        # simulate ode and realize\n",
+    "        p_infectious = diffuse(s_ij, 1, src)\n",
+    "        real = dist.Bernoulli(probs=p_infectious).to_event(1)\n",
+    "        return ny.sample(\"obs\", real, obs=infections)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "ename": "NotImplementedError",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNotImplementedError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-43-8890e4f3c100>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m                       )\n\u001b[1;32m      7\u001b[0m \u001b[0mmcmc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mny\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMCMC\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkernel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_warmup\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1500\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_samples\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mmcmc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mPRNGKey\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfections\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minfections\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0mmcmc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_summary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0msamples\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmcmc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_samples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/mcmc.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, rng_key, extra_fields, init_params, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1207\u001b[0m         \u001b[0mcollect_fields\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'z'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'diverging'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mextra_fields\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1208\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnum_chains\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1209\u001b[0;31m             states_flat, last_state = self._single_chain_mcmc(rng_key, init_state, init_params,\n\u001b[0m\u001b[1;32m   1210\u001b[0m                                                               args, kwargs, collect_fields)\n\u001b[1;32m   1211\u001b[0m             \u001b[0mstates\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtree_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mjnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnewaxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m...\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstates_flat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/mcmc.py\u001b[0m in \u001b[0;36m_single_chain_mcmc\u001b[0;34m(self, rng_key, init_state, init_params, args, kwargs, collect_fields)\u001b[0m\n\u001b[1;32m   1073\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_single_chain_mcmc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrng_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_state\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_params\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcollect_fields\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'z'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1074\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0minit_state\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1075\u001b[0;31m             init_state = self.sampler.init(rng_key, self.num_warmup, init_params,\n\u001b[0m\u001b[1;32m   1076\u001b[0m                                            model_args=args, model_kwargs=kwargs)\n\u001b[1;32m   1077\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpostprocess_fn\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/mcmc.py\u001b[0m in \u001b[0;36minit\u001b[0;34m(self, rng_key, num_warmup, init_params, model_args, model_kwargs)\u001b[0m\n\u001b[1;32m    516\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    517\u001b[0m             \u001b[0mrng_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrng_key_init_model\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mswapaxes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrng_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 518\u001b[0;31m         \u001b[0minit_params\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_init_state\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrng_key_init_model\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_params\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    519\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_potential_fn\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0minit_params\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    520\u001b[0m             raise ValueError('Valid value of `init_params` must be provided with'\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/mcmc.py\u001b[0m in \u001b[0;36m_init_state\u001b[0;34m(self, rng_key, model_args, model_kwargs, init_params)\u001b[0m\n\u001b[1;32m    481\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_init_state\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrng_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_params\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    482\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_model\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 483\u001b[0;31m             init_params, potential_fn, postprocess_fn, model_trace = initialize_model(\n\u001b[0m\u001b[1;32m    484\u001b[0m                 \u001b[0mrng_key\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    485\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_model\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/util.py\u001b[0m in \u001b[0;36minitialize_model\u001b[0;34m(rng_key, model, init_strategy, dynamic_args, model_args, model_kwargs)\u001b[0m\n\u001b[1;32m    417\u001b[0m         \u001b[0minit_strategy\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_init_to_unconstrained_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0munconstrained_values\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    418\u001b[0m     \u001b[0mprototype_params\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtransform_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minv_transforms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconstrained_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minvert\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 419\u001b[0;31m     (init_params, pe, grad), is_valid = find_valid_initial_params(rng_key, model,\n\u001b[0m\u001b[1;32m    420\u001b[0m                                                                   \u001b[0minit_strategy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minit_strategy\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    421\u001b[0m                                                                   \u001b[0menum\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhas_enumerate_support\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/util.py\u001b[0m in \u001b[0;36mfind_valid_initial_params\u001b[0;34m(rng_key, model, init_strategy, enum, model_args, model_kwargs, prototype_params)\u001b[0m\n\u001b[1;32m    253\u001b[0m     \u001b[0;31m# Handle possible vectorization\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    254\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mrng_key\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 255\u001b[0;31m         \u001b[0;34m(\u001b[0m\u001b[0minit_params\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mz_grad\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mis_valid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_find_valid_params\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrng_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexit_early\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    256\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    257\u001b[0m         \u001b[0;34m(\u001b[0m\u001b[0minit_params\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mz_grad\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mis_valid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlax\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_find_valid_params\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrng_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/util.py\u001b[0m in \u001b[0;36m_find_valid_params\u001b[0;34m(rng_key, exit_early)\u001b[0m\n\u001b[1;32m    241\u001b[0m             \u001b[0;31m# Early return if valid params found. This is only helpful for single chain,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    242\u001b[0m             \u001b[0;31m# where we can avoid compiling body_fn in while_loop.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 243\u001b[0;31m             \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0minit_params\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mz_grad\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mis_valid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minit_state\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbody_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minit_state\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    244\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mnot_jax_tracer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mis_valid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    245\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mdevice_get\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mis_valid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/util.py\u001b[0m in \u001b[0;36mbody_fn\u001b[0;34m(state)\u001b[0m\n\u001b[1;32m    231\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    232\u001b[0m         \u001b[0mpotential_fn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpartial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpotential_energy\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menum\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0menum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 233\u001b[0;31m         \u001b[0mpe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mz_grad\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue_and_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpotential_fn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    234\u001b[0m         \u001b[0mz_grad_flat\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mravel_pytree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mz_grad\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    235\u001b[0m         \u001b[0mis_valid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misfinite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpe\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m&\u001b[0m \u001b[0mjnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misfinite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mz_grad_flat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/numpyro/lib/python3.8/site-packages/jax/api.py\u001b[0m in \u001b[0;36mvalue_and_grad_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    468\u001b[0m     \u001b[0mtree_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpartial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_check_input_dtype_grad\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mholomorphic\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdyn_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    469\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_aux\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 470\u001b[0;31m       \u001b[0mans\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvjp_py\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_vjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf_partial\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mdyn_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    471\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    472\u001b[0m       \u001b[0mans\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvjp_py\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maux\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_vjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf_partial\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mdyn_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhas_aux\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/numpyro/lib/python3.8/site-packages/jax/api.py\u001b[0m in \u001b[0;36m_vjp\u001b[0;34m(fun, *primals, **kwargs)\u001b[0m\n\u001b[1;32m   1561\u001b[0m   \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_aux\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1562\u001b[0m     \u001b[0mflat_fun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout_tree\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mflatten_fun_nokwargs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0min_tree\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1563\u001b[0;31m     \u001b[0mout_primal\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout_vjp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mad\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mflat_fun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprimals_flat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1564\u001b[0m     \u001b[0mout_tree\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mout_tree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1565\u001b[0m   \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/numpyro/lib/python3.8/site-packages/jax/interpreters/ad.py\u001b[0m in \u001b[0;36mvjp\u001b[0;34m(traceable, primals, has_aux)\u001b[0m\n\u001b[1;32m    106\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mvjp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtraceable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprimals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhas_aux\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    107\u001b[0m   \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_aux\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 108\u001b[0;31m     \u001b[0mout_primals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpvals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjaxpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconsts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlinearize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtraceable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mprimals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    109\u001b[0m   \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m     \u001b[0mout_primals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpvals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mjaxpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconsts\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maux\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlinearize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtraceable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mprimals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhas_aux\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/numpyro/lib/python3.8/site-packages/jax/interpreters/ad.py\u001b[0m in \u001b[0;36mlinearize\u001b[0;34m(traceable, *primals, **kwargs)\u001b[0m\n\u001b[1;32m     93\u001b[0m   \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0min_tree\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtree_flatten\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprimals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprimals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     94\u001b[0m   \u001b[0mjvpfun_flat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout_tree\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mflatten_fun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjvpfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0min_tree\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 95\u001b[0;31m   \u001b[0mjaxpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout_pvals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconsts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrace_to_jaxpr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjvpfun_flat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0min_pvals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     96\u001b[0m   \u001b[0mout_primals_pvals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout_tangents_pvals\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtree_unflatten\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout_tree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout_pvals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     97\u001b[0m   \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout_primal_pval\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_known\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mout_primal_pval\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mout_primals_pvals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/numpyro/lib/python3.8/site-packages/jax/interpreters/partial_eval.py\u001b[0m in \u001b[0;36mtrace_to_jaxpr\u001b[0;34m(fun, pvals, instantiate, stage_out, bottom, trace_type)\u001b[0m\n\u001b[1;32m    452\u001b[0m   \u001b[0;32mwith\u001b[0m \u001b[0mnew_master\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrace_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbottom\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbottom\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmaster\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    453\u001b[0m     \u001b[0mfun\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrace_to_subjaxpr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmaster\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minstantiate\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 454\u001b[0;31m     \u001b[0mjaxpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mout_pvals\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconsts\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfun\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcall_wrapped\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpvals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    455\u001b[0m     \u001b[0;32massert\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    456\u001b[0m     \u001b[0;32mdel\u001b[0m \u001b[0mmaster\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/numpyro/lib/python3.8/site-packages/jax/linear_util.py\u001b[0m in \u001b[0;36mcall_wrapped\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    148\u001b[0m     \u001b[0mgen\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    149\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 150\u001b[0;31m     \u001b[0mans\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    151\u001b[0m     \u001b[0;32mdel\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    152\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0mstack\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/util.py\u001b[0m in \u001b[0;36mpotential_energy\u001b[0;34m(model, model_args, model_kwargs, params, enum)\u001b[0m\n\u001b[1;32m    153\u001b[0m     \u001b[0msubstituted_model\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msubstitute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubstitute_fn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpartial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_unconstrain_reparam\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m     \u001b[0;31m# no param is needed for log_density computation because we already substitute\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m     \u001b[0mlog_joint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_trace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlog_density_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubstituted_model\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mlog_joint\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/contrib/funsor/infer_util.py\u001b[0m in \u001b[0;36mlog_density\u001b[0;34m(model, model_args, model_kwargs, params)\u001b[0m\n\u001b[1;32m     79\u001b[0m     \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msubstitute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparam_map\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mplate_to_enum_plate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 81\u001b[0;31m         \u001b[0mmodel_trace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpacked_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     82\u001b[0m     \u001b[0mlog_factors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     83\u001b[0m     \u001b[0msum_vars\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprod_vars\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfrozenset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfrozenset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/handlers.py\u001b[0m in \u001b[0;36mget_trace\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    145\u001b[0m         \u001b[0;34m:\u001b[0m\u001b[0;32mreturn\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mOrderedDict\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0mcontaining\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mexecution\u001b[0m \u001b[0mtrace\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    146\u001b[0m         \"\"\"\n\u001b[0;32m--> 147\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    148\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrace\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    149\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-42-22b69e360e96>\u001b[0m in \u001b[0;36mstructure_recovery\u001b[0;34m(infections)\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;31m#     W = ny.sample('W', dist.Gamma(1,20).expand([n_edges]).to_event(1))\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[0mρ\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mny\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ρ'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBeta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mu\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mu\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_event\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m     \u001b[0mA\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mny\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'A'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBernoulli\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprobs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mρ\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_event\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     16\u001b[0m     \u001b[0ms_ij\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msquareform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mρ\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# adjacency matrix to recover via inference\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36msample\u001b[0;34m(name, fn, obs, rng_key, sample_shape, infer)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m     \u001b[0;31m# ...and use apply_stack to send it to the Messengers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m     \u001b[0mmsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mapply_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minitial_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'value'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36mapply_stack\u001b[0;34m(msg)\u001b[0m\n\u001b[1;32m     21\u001b[0m     \u001b[0mpointer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mpointer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandler\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreversed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_PYRO_STACK\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m         \u001b[0mhandler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprocess_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     24\u001b[0m         \u001b[0;31m# When a Messenger sets the \"stop\" field of a message,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m         \u001b[0;31m# it prevents any Messengers above it on the stack from being applied.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/contrib/funsor/enum_messenger.py\u001b[0m in \u001b[0;36mprocess_message\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m    506\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"expand=True not implemented\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    507\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 508\u001b[0;31m         \u001b[0msize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"fn\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menumerate_support\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpand\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    509\u001b[0m         \u001b[0mraw_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    510\u001b[0m         funsor_value = funsor.Tensor(\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/distributions/distribution.py\u001b[0m in \u001b[0;36menumerate_support\u001b[0;34m(self, expand)\u001b[0m\n\u001b[1;32m    261\u001b[0m         \u001b[0mcontaining\u001b[0m \u001b[0mall\u001b[0m \u001b[0mvalues\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mthe\u001b[0m \u001b[0msupport\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    262\u001b[0m         \"\"\"\n\u001b[0;32m--> 263\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    264\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mexpand\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_shape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNotImplementedError\u001b[0m: "
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# ny.set_host_device_count(4)\n",
+    "kernel = ny.infer.NUTS(structure_recovery, target_accept_prob=.8,\n",
+    "#                        init_strategy=init_to_value(values={\n",
+    "#                            'Λ': edgelist(cosine_sim(infections))\n",
+    "#                        })\n",
+    "                      )\n",
+    "mcmc = ny.infer.MCMC(kernel, num_warmup=1500, num_samples=3000)\n",
+    "mcmc.run(PRNGKey(0), infections=infections)\n",
+    "mcmc.print_summary()\n",
+    "samples = mcmc.get_samples()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 307,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6c1490cc40>"
+      ]
+     },
+     "execution_count": 307,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(samples[\"Λ\"].mean(axis=0), norm_hist=False, kde=False)\n",
+    "sns.distplot(edgelist(cosine_sim(infections)), norm_hist=False, kde=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 311,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pred = squareform(samples[\"Λ\"].mean(axis=0))\n",
+    "pred = pred*(pred>.6)\n",
+    "cos = cosine_sim(infections)*(cosine_sim(infections)>.4)\n",
+    "adjplot(p)\n",
+    "adjplot(cos)\n",
+    "adjplot(pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 312,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1296x360 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f,axis = plt.subplots(ncols=3, figsize=(18,5), sharex=True, sharey=True)\n",
+    "\n",
+    "#     infected = infect_on_network(a)(x0, T=(n+1)*5)\n",
+    "nx.draw_networkx(g, ax=axis[0],\n",
+    "                 edge_color=get_weights(g),\n",
+    "                **nx_draw_opts)\n",
+    "nx.draw_networkx(nx.from_numpy_array(cos), ax=axis[1],\n",
+    "                 edge_color=get_weights(nx.from_numpy_array(cos)),\n",
+    "                **nx_draw_opts)\n",
+    "nx.draw_networkx(nx.from_numpy_array(pred), ax=axis[2],\n",
+    "                 edge_color=get_weights(nx.from_numpy_array(pred)),\n",
+    "                **nx_draw_opts)\n",
+    "# axis[0].set_ylabel(f'Obsv. {n}')\n",
+    "for n,axis in enumerate(ax.flatten()):\n",
+    "    sns.despine(left=True, bottom=True)\n",
+    "plt.show()\n",
+    "# nx.draw_networkx(, **nx_draw_opts)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Try svi"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 224,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "auto_arn__0$params = [(DeviceArray([[-0.2776143 ,  0.7838745 , -0.72208536, ...,  0.09527027,\n",
+      "               0.0462908 , -0.02423801],\n",
+      "             [ 0.        ,  0.        ,  0.        , ...,  0.02085378,\n",
+      "               0.00740156,  0.03427128],\n",
+      "             [ 0.        ,  0.        ,  0.        , ...,  0.02865113,\n",
+      "               0.06422674,  0.01073873],\n",
+      "             ...,\n",
+      "             [ 0.        ,  0.        ,  0.        , ..., -0.05262911,\n",
+      "               0.03118366,  0.02830646],\n",
+      "             [ 0.        ,  0.        ,  0.        , ...,  0.05055162,\n",
+      "              -0.00801879, -0.07990434],\n",
+      "             [ 0.        ,  0.        ,  0.        , ...,  0.4319476 ,\n",
+      "               0.5235744 ,  0.4412799 ]], dtype=float32), DeviceArray([-1.5874271 , -0.7979889 , -1.2204467 , ..., -0.3488366 ,\n",
+      "             -0.88036424, -0.41266754], dtype=float32), DeviceArray([ 0.14770952, -0.12870742, -0.15488178, ...,  0.00180213,\n",
+      "             -0.01855661, -0.00267007], dtype=float32)), (), (DeviceArray([[-1.36637628e-01, -3.20961207e-01, -1.91519693e-01, ...,\n",
+      "              -1.12780947e-02,  9.24972643e-04, -9.34807863e-03],\n",
+      "             [ 3.52062017e-01,  1.62310094e-01,  3.44318599e-01, ...,\n",
+      "               1.50229353e-02,  5.66499867e-02, -3.85149987e-03],\n",
+      "             [ 1.55567557e-01,  1.09892204e-01, -6.20547496e-02, ...,\n",
+      "              -4.87921643e-05,  2.35874094e-02, -6.30361121e-03],\n",
+      "             ...,\n",
+      "             [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+      "               3.19364667e-01,  1.86508864e-01,  2.99082667e-01],\n",
+      "             [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+      "               3.44171017e-01,  2.92212605e-01,  3.65113229e-01],\n",
+      "             [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
+      "               3.80503803e-01,  2.10430726e-01,  3.83446097e-01]],            dtype=float32), DeviceArray([-1.3304337 , -0.4318731 , -0.35760534, ..., -0.8548138 ,\n",
+      "             -0.32741687, -0.7571753 ], dtype=float32), DeviceArray([-0.07332357, -0.05064532, -0.07245316, ..., -0.01381843,\n",
+      "             -0.04354158, -0.00878129], dtype=float32)), (), (DeviceArray([[ 0.05028785,  0.00348702, -0.02394515, ...,  0.00642898,\n",
+      "              -0.0010039 ,  0.01071792],\n",
+      "             [ 0.6738927 ,  0.02740885, -0.04023565, ...,  0.0108452 ,\n",
+      "              -0.01266042,  0.01841394],\n",
+      "             [ 0.6963061 ,  0.01637422, -0.05714682, ...,  0.01119953,\n",
+      "              -0.01209411, -0.00227829],\n",
+      "             ...,\n",
+      "             [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+      "               0.        ,  0.44385076],\n",
+      "             [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+      "               0.        ,  0.42686605],\n",
+      "             [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
+      "               0.        ,  0.52757215]], dtype=float32), DeviceArray([-3.58025521e-01, -7.53189266e-01, -2.70159632e-01,\n",
+      "             -4.77368116e-01, -3.82086158e-01,  6.66068867e-02,\n",
+      "              3.16579163e-01,  1.44836858e-01,  4.40356076e-01,\n",
+      "             -1.64442509e-01,  2.41433159e-02, -4.58903670e-01,\n",
+      "              1.79083243e-01, -4.53510195e-01,  1.22784726e-01,\n",
+      "             -7.35718369e-01, -1.96804357e+00,  3.85349184e-01,\n",
+      "              2.85112262e-01, -1.00931358e+00, -2.05023572e-01,\n",
+      "              4.49578762e-01,  4.00133878e-01, -7.88570583e-01,\n",
+      "              3.40961546e-01,  1.48407474e-01, -3.79766434e-01,\n",
+      "              4.16837871e-01,  2.80088395e-01,  4.33223248e-01,\n",
+      "             -6.52572632e-01,  4.25937414e-01, -8.71736169e-01,\n",
+      "             -8.00642073e-01, -1.99692512e+00,  3.31778318e-01,\n",
+      "             -1.96397698e+00, -6.52794480e-01, -4.83714432e-01,\n",
+      "             -5.61332941e-01, -6.03427649e-01,  3.41265537e-02,\n",
+      "             -3.96498650e-01,  3.65467846e-01,  4.05558616e-01,\n",
+      "              2.97176749e-01, -1.08361650e+00,  3.25845629e-01,\n",
+      "              2.71886021e-01, -9.44164470e-02,  1.09541584e-02,\n",
+      "             -9.28053379e-01, -5.28044879e-01, -9.99172390e-01,\n",
+      "              3.79611850e-01,  2.75157876e-02,  3.49795997e-01,\n",
+      "              1.72594264e-02,  1.26448840e-01, -2.80477762e-01,\n",
+      "              2.49224663e-01, -8.51455182e-02,  4.19387877e-01,\n",
+      "             -2.19451523e+00,  3.92619640e-01, -7.86171481e-02,\n",
+      "             -5.93507409e-01,  1.94558844e-01,  4.50657338e-01,\n",
+      "              4.31136429e-01,  6.86445013e-02,  1.01232357e-01,\n",
+      "              4.05228853e-01,  2.54999161e-01,  4.99731332e-01,\n",
+      "             -4.68646860e+00, -4.36771661e-02, -6.71153188e-01,\n",
+      "             -7.38486588e-01,  4.45641011e-01,  2.32355028e-01,\n",
+      "             -2.59918952e+00,  5.94991520e-02,  4.04842913e-01,\n",
+      "              1.91612169e-01, -9.67271477e-02, -2.59718084e+00,\n",
+      "             -1.32185781e+00,  5.76788664e-01,  5.80133677e-01,\n",
+      "              1.25990987e-01,  5.37795067e-01,  3.76170099e-01,\n",
+      "              1.39750555e-01, -1.54420424e+00, -2.81667066e+00,\n",
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+      "              4.40406817e-04, -2.87976217e+00,  5.62697649e-01,\n",
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+      "             -0.08467856, -0.12735114, -0.07789936, -0.04387373,\n",
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+      "             -0.0271401 , -0.06343587,  0.00934105, -0.0278277 ,\n",
+      "             -0.02446115, -0.0130352 ,  0.00972879,  0.0044795 ,\n",
+      "             -0.02822185,  0.02317454,  0.00993586,  0.01869479,\n",
+      "              0.00497941, -0.04881844, -0.0191685 ,  0.0289409 ,\n",
+      "              0.01163527, -0.02246871, -0.01301332, -0.00197327,\n",
+      "              0.01395149], dtype=float32))]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Construct an SVI object so we can do variational inference on our\n",
+    "    # model/guide pair.\n",
+    "adam = ny.optim.Adam(1e-3)\n",
+    "guide = AutoBNAFNormal(structure_recovery)\n",
+    "svi = SVI(structure_recovery, guide, adam, ELBO(num_particles=10))\n",
+    "svi_state = svi.init(PRNGKey(0), infections)\n",
+    "\n",
+    "# Training loop\n",
+    "def body_fn(i, val):\n",
+    "    svi_state, loss = svi.update(val, infections)\n",
+    "    return svi_state\n",
+    "\n",
+    "svi_state = fori_loop(0, 1001, body_fn, svi_state)\n",
+    "\n",
+    "# Report the final values of the variational parameters\n",
+    "# in the guide after training.\n",
+    "params = svi.get_params(svi_state)\n",
+    "for name, value in params.items():\n",
+    "    print(\"{} = {}\".format(name, value))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### try NeuTra"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 196,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "guide = AutoBNAFNormal(structure_recovery)\n",
+    "svi = SVI(structure_recovery, guide, ny.optim.Adam(1.0e-3), ELBO())\n",
+    "svi_state = svi.init(random.PRNGKey(1),infections)\n",
+    "last_state, losses = lax.scan(lambda state, i: svi.update(state, infections), svi_state, np.zeros(2000))\n",
+    "params = svi.get_params(last_state)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Start NeuTra HMC...\n"
+     ]
+    },
+    {
+     "ename": "AssertionError",
+     "evalue": "all sites must have unique names",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-199-217ef98fc30b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mnuts_kernel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mNUTS\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mneutra_model\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mmcmc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mny\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMCMC\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnuts_kernel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_warmup\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1500\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_samples\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mmcmc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPRNGKey\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfections\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minfections\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m \u001b[0mmcmc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_summary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0mzs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmcmc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_samples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/mcmc.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, rng_key, extra_fields, init_params, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1207\u001b[0m         \u001b[0mcollect_fields\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'z'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'diverging'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mextra_fields\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1208\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnum_chains\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1209\u001b[0;31m             states_flat, last_state = self._single_chain_mcmc(rng_key, init_state, init_params,\n\u001b[0m\u001b[1;32m   1210\u001b[0m                                                               args, kwargs, collect_fields)\n\u001b[1;32m   1211\u001b[0m             \u001b[0mstates\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtree_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mjnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnewaxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m...\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstates_flat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/mcmc.py\u001b[0m in \u001b[0;36m_single_chain_mcmc\u001b[0;34m(self, rng_key, init_state, init_params, args, kwargs, collect_fields)\u001b[0m\n\u001b[1;32m   1073\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_single_chain_mcmc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrng_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_state\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_params\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcollect_fields\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'z'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1074\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0minit_state\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1075\u001b[0;31m             init_state = self.sampler.init(rng_key, self.num_warmup, init_params,\n\u001b[0m\u001b[1;32m   1076\u001b[0m                                            model_args=args, model_kwargs=kwargs)\n\u001b[1;32m   1077\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpostprocess_fn\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/mcmc.py\u001b[0m in \u001b[0;36minit\u001b[0;34m(self, rng_key, num_warmup, init_params, model_args, model_kwargs)\u001b[0m\n\u001b[1;32m    516\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    517\u001b[0m             \u001b[0mrng_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrng_key_init_model\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mswapaxes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrng_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 518\u001b[0;31m         \u001b[0minit_params\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_init_state\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrng_key_init_model\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_params\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    519\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_potential_fn\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0minit_params\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    520\u001b[0m             raise ValueError('Valid value of `init_params` must be provided with'\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/mcmc.py\u001b[0m in \u001b[0;36m_init_state\u001b[0;34m(self, rng_key, model_args, model_kwargs, init_params)\u001b[0m\n\u001b[1;32m    481\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_init_state\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrng_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_params\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    482\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_model\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 483\u001b[0;31m             init_params, potential_fn, postprocess_fn, model_trace = initialize_model(\n\u001b[0m\u001b[1;32m    484\u001b[0m                 \u001b[0mrng_key\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    485\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_model\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/util.py\u001b[0m in \u001b[0;36minitialize_model\u001b[0;34m(rng_key, model, init_strategy, dynamic_args, model_args, model_kwargs)\u001b[0m\n\u001b[1;32m    390\u001b[0m     substituted_model = substitute(seed(model, rng_key if jnp.ndim(rng_key) == 1 else rng_key[0]),\n\u001b[1;32m    391\u001b[0m                                    substitute_fn=init_strategy)\n\u001b[0;32m--> 392\u001b[0;31m     inv_transforms, replay_model, has_enumerate_support, model_trace = _get_model_transforms(\n\u001b[0m\u001b[1;32m    393\u001b[0m         substituted_model, model_args, model_kwargs)\n\u001b[1;32m    394\u001b[0m     constrained_values = {k: v['value'] for k, v in model_trace.items()\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/util.py\u001b[0m in \u001b[0;36m_get_model_transforms\u001b[0;34m(model, model_args, model_kwargs)\u001b[0m\n\u001b[1;32m    261\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_get_model_transforms\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_args\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    262\u001b[0m     \u001b[0mmodel_kwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmodel_kwargs\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 263\u001b[0;31m     \u001b[0mmodel_trace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    264\u001b[0m     \u001b[0minv_transforms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m     \u001b[0;31m# model code may need to be replayed in the presence of deterministic sites\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/handlers.py\u001b[0m in \u001b[0;36mget_trace\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    145\u001b[0m         \u001b[0;34m:\u001b[0m\u001b[0;32mreturn\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mOrderedDict\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0mcontaining\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mexecution\u001b[0m \u001b[0mtrace\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    146\u001b[0m         \"\"\"\n\u001b[0;32m--> 147\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    148\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrace\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    149\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-147-c3e60db22382>\u001b[0m in \u001b[0;36mstructure_recovery\u001b[0;34m(infections)\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mny\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"n_cascades\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_cascades\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m         \u001b[0;31m# infer infection source node\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m         \u001b[0mx0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mny\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"x0\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCategorical\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprobs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mϕ\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     17\u001b[0m         \u001b[0msrc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mone_hot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_nodes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36msample\u001b[0;34m(name, fn, obs, rng_key, sample_shape, infer)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m     \u001b[0;31m# ...and use apply_stack to send it to the Messengers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m     \u001b[0mmsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mapply_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minitial_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'value'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36mapply_stack\u001b[0;34m(msg)\u001b[0m\n\u001b[1;32m     21\u001b[0m     \u001b[0mpointer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mpointer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandler\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreversed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_PYRO_STACK\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m         \u001b[0mhandler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprocess_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     24\u001b[0m         \u001b[0;31m# When a Messenger sets the \"stop\" field of a message,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m         \u001b[0;31m# it prevents any Messengers above it on the stack from being applied.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/handlers.py\u001b[0m in \u001b[0;36mprocess_message\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m    341\u001b[0m             \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    342\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 343\u001b[0;31m         \u001b[0mnew_fn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreparam\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"name\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"fn\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"value\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    344\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    345\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/infer/reparam.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, name, fn, obs)\u001b[0m\n\u001b[1;32m    119\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_x_unconstrained\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# On first sample site.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    120\u001b[0m             \u001b[0;31m# Sample a shared latent.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 121\u001b[0;31m             z_unconstrained = numpyro.sample(\"{}_shared_latent\".format(self.guide.prefix),\n\u001b[0m\u001b[1;32m    122\u001b[0m                                              self.guide.get_base_dist().mask(False))\n\u001b[1;32m    123\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36msample\u001b[0;34m(name, fn, obs, rng_key, sample_shape, infer)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m     \u001b[0;31m# ...and use apply_stack to send it to the Messengers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m     \u001b[0mmsg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mapply_stack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minitial_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'value'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/primitives.py\u001b[0m in \u001b[0;36mapply_stack\u001b[0;34m(msg)\u001b[0m\n\u001b[1;32m     38\u001b[0m     \u001b[0;31m# via the pointer variable from the process_message loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     39\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mhandler\u001b[0m \u001b[0;32min\u001b[0m \u001b[0m_PYRO_STACK\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mpointer\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 40\u001b[0;31m         \u001b[0mhandler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpostprocess_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     41\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     42\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Code/pr/numpyro/numpyro/handlers.py\u001b[0m in \u001b[0;36mpostprocess_message\u001b[0;34m(self, msg)\u001b[0m\n\u001b[1;32m    134\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    135\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mpostprocess_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 136\u001b[0;31m         \u001b[0;32massert\u001b[0m \u001b[0;32mnot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'type'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'sample'\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrace\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'all sites must have unique names'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    137\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrace\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'name'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    138\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAssertionError\u001b[0m: all sites must have unique names"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\\nStart NeuTra HMC...\")\n",
+    "neutra = NeuTraReparam(guide, params)\n",
+    "neutra_model = neutra.reparam(structure_recovery)\n",
+    "nuts_kernel = NUTS(neutra_model)\n",
+    "mcmc = ny.infer.MCMC(nuts_kernel, num_warmup=1500, num_samples=3000)\n",
+    "mcmc.run(random.PRNGKey(3), infections=infections)\n",
+    "mcmc.print_summary()\n",
+    "zs = mcmc.get_samples()\n",
+    "print(\"Transform samples into unwarped space...\")\n",
+    "samples = neutra.transform_sample(zs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:numpyro]",
+   "language": "python",
+   "name": "conda-env-numpyro-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}