From c1cdee5af73cfc20b9d4819fba0758fa0ba93ce4 Mon Sep 17 00:00:00 2001
From: sschoenholz <schsam@google.com>
Date: Mon, 12 Aug 2019 11:54:45 -0700
Subject: [PATCH] Updated jaxlib path.

---
 notebooks/nvt_simulation.ipynb | 96 +++++++++++++++++-----------------
 1 file changed, 48 insertions(+), 48 deletions(-)

diff --git a/notebooks/nvt_simulation.ipynb b/notebooks/nvt_simulation.ipynb
index acbcc6b..546c515 100644
--- a/notebooks/nvt_simulation.ipynb
+++ b/notebooks/nvt_simulation.ipynb
@@ -41,14 +41,14 @@
       "metadata": {
         "colab_type": "code",
         "id": "kNDQ02qlDnNW",
-        "outputId": "87bf03f7-a381-4ae3-982d-d3ba8884a0ef",
+        "outputId": "312751cc-d75d-4013-f932-220fb80c53f9",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 119
         }
       },
       "source": [
-        "!pip install --upgrade -q https://storage.googleapis.com/jax-wheels/cuda$(echo $CUDA_VERSION | sed -e 's/\\.//' -e 's/\\..*//')/jaxlib-$(pip search jaxlib | grep -oP '[0-9\\.]+' | head -n 1)-cp36-none-linux_x86_64.whl\n",
+        "!pip install --upgrade -q https://storage.googleapis.com/jax-releases/cuda$(echo $CUDA_VERSION | sed -e 's/\\.//' -e 's/\\..*//')/jaxlib-$(pip search jaxlib | grep -oP '[0-9\\.]+' | head -n 1)-cp36-none-linux_x86_64.whl\n",
         "!pip install --upgrade -q jax\n",
         "!pip install -q git+https://www.github.com/google/jax-md"
       ],
@@ -57,9 +57,9 @@
         {
           "output_type": "stream",
           "text": [
-            "\u001b[K     |████████████████████████████████| 44.5MB 76.3MB/s \n",
-            "\u001b[K     |████████████████████████████████| 174kB 2.9MB/s \n",
-            "\u001b[K     |████████████████████████████████| 61kB 24.8MB/s \n",
+            "\u001b[K     |████████████████████████████████| 47.4MB 1.2MB/s \n",
+            "\u001b[K     |████████████████████████████████| 215kB 2.9MB/s \n",
+            "\u001b[K     |████████████████████████████████| 61kB 26.9MB/s \n",
             "\u001b[?25h  Building wheel for jax (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
             "  Building wheel for opt-einsum (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
             "  Building wheel for jax-md (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
@@ -266,7 +266,7 @@
       "metadata": {
         "colab_type": "code",
         "id": "psqU1uEPWm9T",
-        "outputId": "9ca51e4a-1fc8-4f64-a83c-0566dfd25038",
+        "outputId": "1258bd55-821e-4b00-82f7-edcf5e7394e2",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 714
@@ -305,45 +305,45 @@
           "text": [
             "Step\tT_goal\tT\ttime/step\n",
             "----------------------------------------\n",
-            "50\t1.00\t1.02\t0.126\n",
-            "100\t1.00\t1.02\t0.034\n",
-            "150\t1.00\t1.00\t0.033\n",
-            "200\t1.00\t0.98\t0.033\n",
-            "250\t1.00\t1.00\t0.034\n",
-            "300\t1.00\t1.01\t0.033\n",
-            "350\t1.00\t1.00\t0.033\n",
-            "400\t1.00\t1.01\t0.033\n",
-            "450\t1.00\t0.99\t0.034\n",
-            "500\t1.00\t1.03\t0.033\n",
-            "550\t1.00\t1.01\t0.034\n",
-            "600\t1.00\t1.00\t0.033\n",
-            "650\t1.00\t0.99\t0.033\n",
-            "700\t1.00\t1.01\t0.034\n",
-            "750\t1.00\t0.99\t0.033\n",
-            "800\t1.00\t1.00\t0.034\n",
-            "850\t1.00\t1.03\t0.034\n",
-            "900\t1.00\t1.00\t0.034\n",
-            "950\t1.00\t0.99\t0.033\n",
-            "1000\t0.40\t0.99\t0.034\n",
-            "1050\t0.40\t0.40\t0.034\n",
-            "1100\t0.40\t0.40\t0.033\n",
-            "1150\t0.40\t0.40\t0.034\n",
-            "1200\t0.40\t0.40\t0.034\n",
-            "1250\t0.40\t0.40\t0.034\n",
-            "1300\t0.40\t0.40\t0.034\n",
-            "1350\t0.40\t0.40\t0.034\n",
-            "1400\t0.40\t0.40\t0.034\n",
-            "1450\t0.40\t0.41\t0.034\n",
-            "1500\t0.40\t0.40\t0.035\n",
-            "1550\t0.40\t0.39\t0.036\n",
-            "1600\t0.40\t0.40\t0.036\n",
-            "1650\t0.40\t0.41\t0.036\n",
-            "1700\t0.40\t0.40\t0.035\n",
-            "1750\t0.40\t0.39\t0.035\n",
-            "1800\t0.40\t0.41\t0.033\n",
-            "1850\t0.40\t0.40\t0.033\n",
-            "1900\t0.40\t0.40\t0.034\n",
-            "1950\t0.40\t0.39\t0.034\n"
+            "50\t1.00\t1.02\t0.093\n",
+            "100\t1.00\t1.02\t0.024\n",
+            "150\t1.00\t1.00\t0.024\n",
+            "200\t1.00\t0.98\t0.024\n",
+            "250\t1.00\t1.00\t0.024\n",
+            "300\t1.00\t1.00\t0.024\n",
+            "350\t1.00\t1.00\t0.024\n",
+            "400\t1.00\t1.00\t0.024\n",
+            "450\t1.00\t0.99\t0.024\n",
+            "500\t1.00\t1.02\t0.024\n",
+            "550\t1.00\t1.00\t0.024\n",
+            "600\t1.00\t0.98\t0.024\n",
+            "650\t1.00\t1.01\t0.024\n",
+            "700\t1.00\t1.02\t0.024\n",
+            "750\t1.00\t0.99\t0.024\n",
+            "800\t1.00\t1.00\t0.024\n",
+            "850\t1.00\t1.01\t0.024\n",
+            "900\t1.00\t1.02\t0.024\n",
+            "950\t1.00\t1.02\t0.024\n",
+            "1000\t0.40\t0.98\t0.024\n",
+            "1050\t0.40\t0.40\t0.024\n",
+            "1100\t0.40\t0.40\t0.024\n",
+            "1150\t0.40\t0.40\t0.024\n",
+            "1200\t0.40\t0.40\t0.024\n",
+            "1250\t0.40\t0.40\t0.024\n",
+            "1300\t0.40\t0.40\t0.024\n",
+            "1350\t0.40\t0.39\t0.024\n",
+            "1400\t0.40\t0.40\t0.024\n",
+            "1450\t0.40\t0.40\t0.024\n",
+            "1500\t0.40\t0.41\t0.024\n",
+            "1550\t0.40\t0.41\t0.024\n",
+            "1600\t0.40\t0.40\t0.024\n",
+            "1650\t0.40\t0.39\t0.024\n",
+            "1700\t0.40\t0.41\t0.024\n",
+            "1750\t0.40\t0.41\t0.024\n",
+            "1800\t0.40\t0.40\t0.024\n",
+            "1850\t0.40\t0.40\t0.024\n",
+            "1900\t0.40\t0.40\t0.024\n",
+            "1950\t0.40\t0.41\t0.024\n"
           ],
           "name": "stdout"
         }
@@ -364,7 +364,7 @@
       "metadata": {
         "colab_type": "code",
         "id": "jiJOwCAPirFn",
-        "outputId": "7fb707d8-884a-47dc-e637-5d80cb2f5d78",
+        "outputId": "90ceab40-9af3-4a58-f4cf-9d5feecafbc3",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 441
@@ -383,7 +383,7 @@
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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g6TkovV6PRYsWYe7cuTCbzZgxYwaioqKwdOlSREdHY/z48Xj22Wfx4osv4tNP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\nRmJiIj777DOHfVz6mRRUpK6uThg/frx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N7GNQLUlNTcX06dORnp6O5cuXY9GiRbCzM540iGvxkdbIGlAmkwkFBQWOx2az\nGSaTSbTPunXrMGnSJADA0KFDUVdXh5KSEo/WSaQIbEGRxsgaULGxscjKykJOTg4sFgtSU1MRHx8v\n2qdr167Ys2cPAODMmTOoq6tDp06d5CiXSFbs4iOtkXUMymAwYMmSJZg3bx5sNhtmzpyJmJgYLFu2\nDIMHD0ZCQgIWL16MZ555Bu+//z50Oh1eeeUV6HS6ll+c6Drg/FlnFx9pjawBBQBxcXGIi4sTPbdw\n4ULHz/369cPatWs9XRaR4nDklbRG8ZMkiOgydvGRxjCgiFSCY1CkNQwoIpVgQJHWMKCIVIKTJEhr\nGFBEKsGljkhrGFBEKsEWFGkNA4pIyUS322BCkbYwoIhUhN18pCUMKCIFE6+ZIsDGVhRpCAOKSEVs\nbEGRhjCgiFSE+URawoAiUhF28ZGWMKCIVIRdfKQlDCgiRRNPk+BUc9ISBhSRijCfSEsYUEQqoQPH\noEhbGFBEKsIVzUlLGFBEKsIWFGkJA4pIRRhQpCUMKCIVYQ8faQkDikjJdOJp5rwOirSEAUWkIuzi\nIy1hQBGphA4CZ/GRpjCgiFSEAUVawoAiUhF28ZGWMKCIVMRul7sCIs9hQBGpCGfxkZYwoIhUhGNQ\npCUMKCJF4+02SLsYUEQqoYPASRKkKQwoIhXhGBRpCQOKSEWYT6QlbgPqiy++wMmTJz1VCxG1gF18\npCVuA2rx4sXYsmWLp2ohohawi4+0hF18RCrCWXykJQwoIiWT3G6D+URawoAiUgkdOAZF2mJoaYeK\nigrk5+e36UW7det21QURUfO4kgRpSYsBtWrVKqxatarVL6jT6XD8+PFrKoqImsYWFGlJiwEVGBiI\noKAgT9RCRC1gC4q0pMWAeuCBB/DYY495ohYiagEDirSkxYDqaOnp6XjppZdgt9sxe/ZszJ8/X7T9\n5Zdfxt69ewEAtbW1KCoqwoEDB+QolUh2Nt4PijRE1oCy2Wx44YUXsHLlSphMJsyaNQvx8fHo16+f\nY58//elPjp9Xr17N8S3SGK5mTtol6zTzjIwMREdHIyoqCkajEcnJyUhLS2t2/9TUVEyZMsWDFRIp\nhw4Cu/hIU2QNKLPZjMjISMdjk8kEs9nc5L55eXnIzc3FqFGjPFUekeJwqSPSErddfEpaKDY1NRVJ\nSUnQ6/Vyl0IkG3bxkZbI2oIymUwoKChwPDabzTCZTE3uu3HjRiQnJ3uqNCJF4nVQpCWyBlRsbCyy\nsrKQk5MDi8WC1NRUxMfHu+x35swZlJeXY+jQoTJUSaQczCfSElln8RkMBixZsgTz5s2DzWbDzJkz\nERMTg2XLlmHw4MFISEgA0NCTidmZAAAgAElEQVR6mjx5MnSShTOJtIaTJEhLZL8OKi4uDnFxcaLn\nFi5cKHr8+OOPe7IkIsViFx9pCVczJ1IySa8BZ/GRljCgiFRCB4D5RFrCgCJSEXbxkZYwoIhUhAFF\nWsKAIlIRzuIjLWFAEakIA4q0hAFFpCK83QZpCQOKSNEkt9tgC4o0hAFFpBI6CJwkQZrCgCJSEQYU\naQkDikhFBHbxkYYwoIhUhEsdkZYwoIhUhLP4SEsYUEQqwjvqkpYwoIiUTMdp5qRdDCgi1RA4BkWa\nwoAiUhF28ZGWMKCIVMTGfCINYUARqQhbUKQlDCgiFbHaOc+ctIMBRaQiXOqItIQBRaQiVgYUaQgD\nikjRdKKf2IIiLWFAEakIA4q0hAFFpCLs4iMtYUARqQhbUKQlDCgiFWELirSEAUWkIjZeB0UawoAi\nUhHeD4q0hAFFpGQ652nmAltQpCkMKCIV4RgUaQkDikhFOIuPtIQBRaQiVt5vgzSEAUWkIrzlO2kJ\nA4pIRTgGRVrCgCJSEY5BkZYwoIgUTTzN3MoLoUhDGFBEKsIWFGkJA4pIRWycJEEawoAiUhG2oEhL\nGFBEKsJZfKQlDCgiFREEwM6QIo2QPaDS09ORlJSExMRELF++vMl9Nm7ciMmTJyM5ORlPPPGEhysk\nUha2okgrDHK+uc1mwwsvvICVK1fCZDJh1qxZiI+PR79+/Rz7ZGVlYfny5fj4448REhKCoqIiGSsm\nkh9XkyCtkLUFlZGRgejoaERFRcFoNCI5ORlpaWmifT755BP8/Oc/R0hICAAgPDxcjlKJ5CG63UYD\ntqBIK2QNKLPZjMjISMdjk8kEs9ks2icrKwvnzp3Dvffei7vvvhvp6emeLpNIUWxcMJY0QtYuvtaw\n2WzIzs7G6tWrUVBQgF/84hfYsGEDgoOD5S6NSBZW3rSQNELWFpTJZEJBQYHjsdlshslkctknPj4e\n3t7eiIqKQq9evZCVleXhSomUg9dCkVbIGlCxsbHIyspCTk4OLBYLUlNTER8fL9rnjjvuwL59+wAA\nxcXFyMrKQlRUlBzlEikCV5MgrZC1i89gMGDJkiWYN28ebDYbZs6ciZiYGCxbtgyDBw9GQkICxo0b\nh927d2Py5MnQ6/VYtGgRwsLC5CybSFa8aSFphexjUHFxcYiLixM9t3DhQsfPOp0OTz31FJ566ilP\nl0akSOziI62Q/UJdInJHfLsNgNPMSTsYUEQqwxYUaQUDikhlGFCkFQwoIpVhQJFWMKCIVIYX6pJW\nMKCIVIYtKNIKBhSRynAWH2kFA4pIyXSu08x5w0LSCgYUkcqwBUVawYAiUhmOQZFWMKCIVKbexll8\npA0MKCKVYRcfaQUDikhl2IIirWBAEakMb7dBWsGAIlKJKzPOuZIEaQUDikjRdC7PWNiCIo1gQBGp\njJVjUKQRDCgileEYFGkFA4pIZeo5BkUawYAiUpl6K1tQpA0MKCKV4Sw+0goGFJFqNLSc6jkGRRrB\ngCJSMtdZ5pzFR5rBgCJSGS51RFrBgCJSmXouFksawYAiUhl28ZFWMKCIVIYX6pJWMKCIVMbCFhRp\nBAOKSCV0l6eZswVFWsGAIlI013nmvFCXtIIBRaQyvFCXtIIBRaQyvA6KtIIBRaQyHIMirWBAEakM\nb7dBWsGAIlIZtqBIKxhQRCpxZT4fx6BIKxhQRCrDgCKtYEARKZmuqeug2MVH2sCAIlIZjkGRVjCg\niFSGa/GRVjCgiFSGt9sgrZA9oNLT05GUlITExEQsX77cZfv69esxatQoTJ06FVOnTsWnn34qQ5VE\nysEuPtIKg5xvbrPZ8MILL2DlypUwmUyYNWsW4uPj0a9fP9F+kydPxpIlS2SqkkhZ2MVHWiFrCyoj\nIwPR0dGIioqC0WhEcnIy0tLS5CyJSLGu3G7DYrNDENiKouufrAFlNpsRGRnpeGwymWA2m13227x5\nM1JSUrBgwQJcuHDBkyUSyaxxmrn+8pRzQeBUc9IG2cegWjJhwgRs3boVGzZswOjRo/Hkk0/KXRKR\nLIyGxn+udVZ289H1T9aAMplMKCgocDw2m80wmUyifcLCwmA0GgEAs2fPRmZmpkdrJFIKb31ja8rC\ngCINkDWgYmNjkZWVhZycHFgsFqSmpiI+Pl60T2FhoePnrVu3om/fvp4uk0gRvPWN/1wZUKQFss7i\nMxgMWLJkCebNmwebzYaZM2ciJiYGy5Ytw+DBg5GQkIDVq1dj69at0Ov1CAkJwdKlS+UsmUg24i4+\nm4yVEHmGrAEFAHFxcYiLixM9t3DhQsfPTzzxBJ544glPl0WkOGxBkdYofpIEETUwOo1BcZIEaQED\nikjJnFYzd25BMaBICxhQRCrhPAbFLj7SAgYUkUoYnceguNwRaQADikglnK+DqqvnLD66/jGgiFRC\n1MXHFhRpAAOKSCU4zZy0hgFFpBKcZk5aw4AiUgkjW1CkMQwoIkVzug6K08xJYxhQRCohvlCXs/jo\n+seAIlIJo4G32yBtYUARqQSXOiKtYUARqQQDirSGAUWkEj7Od9TlhbqkAQwoIpVwXkmilksdkQYw\noIiUzOl2Gz4GveNnBhRpAQOKSCX8vBv/udZYGFB0/WNAEamEcwuqmgFFGsCAIlIJXyPHoEhbGFBE\nKuHrzRYUaQsDikglfJ2ug2JAkRYwoIhUwrkFxS4+0gIGFJGiOU0zN7IFRdrCgCJSCV+nWXw19TYI\ngiBjNUQdjwFFpBJ6nU6ymgSXO6LrGwOKSEX8jeJWFNH1jAFFpCJ+oqnmVhkrIep4DCgi1RDgZ+RM\nPtIOBhSRijh38XEmH13vGFBEKuLH1SRIQxhQRErmdLsNAPA3Ghw/V9VxDIqubwwoIhUJ9vN2/FxR\ny4Ci6xsDikhFgn0bW1DltfUyVkLU8RhQRCoS4tSCKqtmQF2tgrJa5JZUy10GtYABRaQizl18bEFd\nnT1nijDu1a0Y9+o27Dp1Se5y2oXFar8uxyQZUERqIQgI9nUKqJrr74TkCW9uO4V6mwBBAP6z+xwA\nQBAE1FnVOSsyt6Qao19Jw7C/fIttJwtb3N9qs6OyzqqKtRwZUEQqEqLiFlS9zY6HVh/EiJe24LOD\nubLVsfdssePnrScLYbXZcf9/9mHgs//D0o0nPFbHxh8u4NkvjuGUuQIA8N2ZS7hv+fd4ffOPsNtb\nHx4f7T2PS5UW1FnteKmF+uusNkx9azcGP7cJf9v04zXV7wkMKCJFE08zD/ZrnCRRVqOugNqUWYD/\nZRbgYkUdnt+QCVsrTsKF5bXIL6255vcuq6lHYXktAMCgFx/TXacvYeepS7ALwHvpZ1FUWef2tVbs\nPIvb/7btmsLsxIVyPPLhIaz+Phu/WX0QdruAJz45ij1ni/CPraex+0zrux5/yCtz/Hy6sNIl3I7m\nlOL93edQXluPA1klyMwvBwC8vf0MKq7iS44nW14MKCIVce7iK6upx+8/OYLYP2/C+5e7quRwJKcU\nW0+aYbW5X139J3Ol4+fyWityisWTFD45kIOZ73yHFTvPAmgYKxr76jaMf3UbNmUWuLyeIAjIKa5u\ncU3CHwsqMO6vWzFqaRr+u/+8yyrwWyXdYmcvVWHfuWJk5Ja6vJa5vBYvbTyBrKJqvJd+Fpn5ZaLt\ntfU2HMwubnEZqmNOoXL2UhX2ZRXjQlmt47lD2aWwWO2oacXF2NLLDQrKG1/ndGElZr37Hf684Tge\n/OAAzkuO+ZmLVThdWInfrj2Mj/edb/G9Pj+ci5Evp+EPnx5tcd/2YGh5FyJSCucuvsz8cse34Zc3\nnsTdI6LgbzSg3mbHk+sycPB8CR6d0A8pN3VzrOEnCAKO5JQiyNcb/SICr7mezZkF+M2agxAEYN7Y\n3nhmyo3N7nuxolb0+OylShzOKcHJCxWYHNsVT63/ATa7gIPZJRjVJxz/3nUOFmtDmPxn1zkkDYoU\n/f6qPdl47qtMRAT54ItHxyAy2Bd2QYBB74Wy6nos33kG/kYDCspqUX75JP7kZz+41LXtR3FAPfvF\nMZwsaOh2e/vnwzA5tqtj248FFXBuQBzJKcWgbiEAGo7tg6sOYOepS+jbJQCpC8aJ7oKcU1yNN7b8\nhPAAI7wkF2Cvk3R5pp0044M9Waitt+Gtnw3DhAER2HnqIkqq6zHxRhOWfHkMB7JK8IekG1xamNlF\n1egUYIRdEPC/YxdQb2soeO+5YnQO9BHte7qwEu9/dw7H8srxxZF8+Bv1WL0nG3ovHd64Zwi6hfo5\n9rXbBTz3ZSbKa61YdzAXiycNcHm99saAIlIR51l8ziw2OzLzyzE0KhRr953H+sN5AIBF6zKwaF0G\nXpo+GIk3mrDki0z873Jr5JnkgXhgdC98f7YIa/fnoN5qx4KEGAzuHoKSKgvyy2oQ4ueNHmH+AACb\nXYBwOQCu+ORAruOE/dG+81g8aYBo+9mLlViWdgpdQ/yQWyI+ka7ak43tP14E0NC15mzLCTO2nDA7\nHu89Vwy7XYCXV8OJXRAEvLvjDACgsKIOD605iNOFlQjyNWD5nOH474EcfLS35RYBAOQUi+u6Ek4A\n8P7uLFFA5Uimpp8yV+KUuQI/mSvROdCInZdnBZ65WIVNmQWYOqS7Y98lXx7Dtst/r5Q0oDJyG1tY\nf9v0Iy5W1GHRZxkAAKPByxHcv117BBZJy/WzQ7l4cNUB2AUBYf5G0bbUHy6IHv/v2AUcyyt3PF64\n9ojj56XfnMQ/7xsq+tuvBH2wr6HDwwlQQEClp6fjpZdegt1ux+zZszF//vwm99u0aRMWLFiAdevW\nITY21sNVEilDqJ83vPU6x7diZ7Pf3QMfgxfqrK5dbU9/fgxPf35M9NyLqSfwYqp4HGXzcTM6B/rg\nktM4zK29OyHYzxs7frwIb70Oj8XH4KG4PtDpdDjq1A1WbbHhpY0nYC6vxU09QjFvbG88vOYQfjRX\noCnbmzlZA8BySWABDaF17lIVxvfvgnqbXdQlduWEXm2x4XefHEF2Uftc43SioBy5JdVYuTsL4YFG\nl9bKmu+zseb7bFibGE/b8eNFFJbX4dD5Esy6pUez4dSS4xfK8afPG1t+Fqf/vtJwAsRhV21xP363\n5UTzs/42HM3HX6YOwsHsEnQJ8kGB0/GO7RHSqtqvlU6Qca6hzWZDUlISVq5cCZPJhFmzZuH1119H\nv379RPtVVlbiN7/5Derr6/Hss8+2GFAzZszA+vXrO7J0Is94cyRw6fJsK1Ms4O2HH/LLRCcpOQT6\nGBDgY4C5vLbZfUL8vDtkIocOgI+33mO3G/HSAW2YVHfds0KPwl5TkfLrP131a7T2HC1rCyojIwPR\n0dGIiooCACQnJyMtLc0loJYtW4YHH3wQ//73v+Uok0g+Xk7/RM0N36JjAfmnN9U3/K+Huzrq0HF1\n2jrwtZuia3kXLbGf/wmomg8EdO7Q95H1Y242mxEZ2TjwaTKZYDabRftkZmaioKAAt99+u4erI1KA\n2FlyV0DkojasP+DXqcPfR/YxKHfsdjteeeUVLF26VO5SiOQx7vfAjVOBqsbrYtbszcb6Q3kt/urU\nId3wwG292rUcAQKO5ZXjua8ym90nwEePqrrWdb+F+nujVLKm4MO398WWE2Z0CTSiZ3gA1u7LcWzT\ne+ngb9Rf80ru3nod/jJtMJ7/KhM19XbodIAcgx39IwNRWlWPwoq6a6rB19sLiTeakJpxAcF+Bozo\n1QnfHm9+fOnGrsHw8gLOXqzCLdFhOF9c3ey43cjenbDvXOPFzVbo8eGD8wGvjm/fyBpQJpMJBQWN\n1zeYzWaYTCbH46qqKvz000+4//77AQAXL17Eww8/jHfeeYcTJUg7wvs2/O/Kw7KeOHTwkOPxM8kD\ncUt0GI7klOL5Dccdzz944zCgZ1e0Jx2A2J5AzT4/nLjQOPtrxrDu6NslEIO6BaOgrBaL17tO577i\n3hFRmDjIhIpaKyYMiMBNf97s2BYR5IPEpDuQmNTw+GB2MQ7t3ePYfv/IaEwf2h1//ioTPcL8cbqw\nUjQJY9GdN+BoTikuVVpwQ2SQaCbf0J6hKKmyILu4Gk9NHID+w/vi+Z6j8PnhXNzWpzP+eyAHG47m\nN1lzXP8uyC+twanChmu5bjAFISLYBxcr6vD7xP6Yv/qgaP8hUaE4klOK+2+Lxq7Tl3D2YlWTrzsi\npg+eGNcHaSfM6B8ZhE8P5IquR/rbrJtwOKcUYf7eGBoVhnmrDoj+nik3dcPB7GLMGdULt/UNx8xp\n9fA16FFabcFfM9Mc+06OjcSZwirHsbpv9E2YPTzKsX3h2sM4dKnxb//rzFjY7EB/UyCG9+qEu97c\n5ZiIcnOPEAT5+zb597Q3WQMqNjYWWVlZyMnJgclkQmpqKl577TXH9qCgIOzdu9fxeM6cOVi0aBHD\niTTttr7hCPI1oKLWCoOXDkmDIhHVyR+dAoyOgNJ76TCid8d1wUSFiQNqYGQwHhzfBwCw85TrbLWu\nIb6OWXeTYrsirn8Xx7Ze4f7Iuvzt/dY+4aLf628KEs1MTBoUiaE9w/DlY2MBAH/49KgooMbHdMEj\ntzeMYf+QWyYKqIk3RuLXY3uhus6GsICG6df9IgLxx6QBAIBuob44mFWMkup6jIvpjM3HG4cbhkeH\nYfDoXpj7wX4YvLyweNIATBgQ4diu99KJVsZY//Bo1Fpt8DcasHDtYVFABRj1qLLYYDR4YfbwHugS\n5IN7R/YEAJwvqnYElLdeh4k3RjqCJE8ygzAmIhBzx/bG3LG9Hc9duZA7ItgXPTv5Oy7MHRoVhmen\n3IgVO8+hV+cAzLqlh+i1+nQWXxM3vn8XdA1pvAbq6ckDMec/+wABeCw+Bp4ia0AZDAYsWbIE8+bN\ng81mw8yZMxETE4Nly5Zh8ODBSEhIkLM8IkUK9Tdizdxb8fnhPEwcZEJUp4brlKLDA7B40gBsOJqP\nX4yK7tDrVJwv4ASAqE5+zW7T6YCNC8Zh7f4c9DcFisIJAOaO7Y1nv8yEj8ELvxwdLdoW5OuNv98z\nBP/ZfQ7jY7pgdF9xgN0SHeaYVu3r7YWBXYMd2/pGBIjCbUhUKHwMevgY9GhKny6BSF80AVa7gKM5\npaKAGhYdhjH9OmP/03fALgBdgsTHduqQbo5u16RBJnh56Rx3Px7cLQRfHmlsnXz2yGhcKKtFf1MQ\nukuO1Z2DI5FwNAL7s4rxdPJAhPg3XvfWNdgXwb4Gx7VIsd3dT/X+0+QBWPJlJnp1DsB9t/ZEoI8B\nzzZzIfXUId3wzo7TqK23Y0hUqCicgIYvDoeeTYTFakenAGOTr9ERZJ1m3lE4zZyoY7234wyWfnPS\n8fh/vx2HAZEN4VBVZ8Wg5zY5tnUJ8sH+p+9w+3pZl6rg76NHRFDbuo6q6qyY9e4enC6swHMpg/CL\nUeKAW70nC699+xMSBpjwt1k3OS70bYnFakfyP3biVGElBkQG4avHxsJoaH7M5ceCCsz9YD8EAVj5\nqxHobwpybNt7tgj3LP/e8fj0S5NEFzO3xWcHc/HcV5noFxGINfNuRaBP+7Uxfsgtw4HsYswY1kO0\nYklHUMU0cyJSJ+eWio/BC73CAxyPAyQnzdacRHt1Dmhxn6YE+BiwccFY1NTbHC0WZ3Nu64U5VzFR\nxGjwwhePjsHRnFIM7hHiNpwA4IbIIOxcNAEAoJMsYzSydyck39QVe88W4enkgVcdTgAw85YemCnp\nnmsvsT1CPHYBbmsxoIiozcb064zJsZHYeeoSfndHf9Gac1LdQjt2QF2n0zUZTtcqwMeA0f1af52P\nNJicn3/rZ8MgCEKz+1DTGFBE1GZ6Lx3e/vktzW5/5Pa+eHt7w1p5KTd181RZisZwajsGFBG1u8fj\nYxDk6w0fgxfudprOTNQWDCgiand+Rj0evr1vyzsSuSH3il5ERERNYkAREZEiMaCIiEiRGFBERKRI\nDCgiIlIkBhQRESkSA4qIiBSJAUVERIrEgCIiIkViQBERkSIxoIiISJEYUEREpEgMKCIiUiQGFBER\nKdJ1ebuNvLw8zJgxQ+4yiIioCXl5ea3aTycIgtDBtRAREbUZu/iIiEiRGFBERKRIDCgiIlIkBhQR\nESkSA4qIiBSJAUVERIqkuYBKT09HUlISEhMTsXz5cpftFosFv/3tb5GYmIjZs2cjNzfXse29995D\nYmIikpKSsHPnTtlqXLlyJSZPnoyUlBQ88MADomsKBg4ciKlTp2Lq1Kl46KGHZKtx/fr1GDVqlKOW\nTz/91LHt888/x8SJEzFx4kR8/vnnstX48ssvO+pLSkrC8OHDHds8dRyfeuop3HbbbZgyZUqT2wVB\nwIsvvojExESkpKQgMzPTsc1Tx7GlGr/66iukpKQgJSUF9957L06ePOnYFh8fj5SUFEydOrVDr01s\nqca9e/filltucfw3ffPNNx3bWvqceKrGFStWOOqbMmUKBg4ciNLSUgCeO44XLlzAnDlzMHnyZCQn\nJ+ODDz5w2cejn0lBQ6xWq5CQkCCcP39eqKurE1JSUoRTp06J9lmzZo3w7LPPCoIgCF9//bWwcOFC\nQRAE4dSpU0JKSopQV1cnnD9/XkhISBCsVqssNe7Zs0eorq4WBEEQPvzwQ0eNgiAIQ4YMafearqbG\nzz77THj++eddfrekpESIj48XSkpKhNLSUiE+Pl4oLS2VpUZnq1atEhYvXux47InjKAiCsG/fPuHY\nsWNCcnJyk9u3b98uzJ07V7Db7cLhw4eFWbNmCYLguePYmhoPHjzoeO/t27c7ahQEQZgwYYJQVFTU\nIXW1pcbvv/9emD9/vsvzbf2cdGSNztLS0oQ5c+Y4HnvqOJrNZuHYsWOCIAhCRUWFMHHiRJfj4cnP\npKZaUBkZGYiOjkZUVBSMRiOSk5ORlpYm2mfr1q2YPn06ACApKQl79uyBIAhIS0tDcnIyjEYjoqKi\nEB0djYyMDFlqHDVqFPz8/AAAQ4YMQUFBQbvXca01NmfXrl0YM2YMQkNDERISgjFjxnRIa7StNaam\npjb7zbYjjRgxAiEhIc1uT0tLw7Rp06DT6TBkyBCUl5ejsLDQY8exNTUOGzbMsV2OzyPQco3NuZbP\nclu1pUa5Po8REREYNGgQACAwMBB9+vSB2WwW7ePJz6SmAspsNiMyMtLx2GQyuRx8s9mMrl27AgAM\nBgOCgoJQUlLSqt/1VI3O1q1bh/Hjxzse19XVYcaMGbj77ruxZcuWdq+vLTVu3rwZKSkpWLBgAS5c\nuNCm3/VUjUDDsiu5ubkYNWqU4zlPHMfWkP4dkZGRMJvNHjuObSX9PALA3LlzMWPGDPz3v/+VqaoG\nR44cwV133YV58+bh1KlTADz3eWyLmpoa7Ny5ExMnThQ97+njmJubixMnTuDmm28WPe/Jz+R1uRaf\nVnz55Zc4duwY1qxZ43hu27ZtMJlMyMnJwQMPPID+/fujZ8+eHq9twoQJmDJlCoxGI9auXYsnn3wS\nq1at8ngdrZGamoqkpCTo9XrHc0o5jmry/fffY926dfjoo48cz3388ccwmUwoKirCr371K/Tp0wcj\nRozweG2DBg3C1q1bERAQgB07duDRRx/F5s2bPV5Ha2zbtg3Dhg1DaGio4zlPH8eqqiosWLAAf/rT\nnxAYGNhh79MSTbWgTCaTqPvBbDbDZDK57HPl277VakVFRQXCwsJa9bueqhEAvvvuO7z77rt45513\nYDQaRb8PAFFRURg5ciSOHz8uS41hYWGOumbPnu0YSFXacQSAjRs3Ijk52eX3gY49jq0h/TsKCgpg\nMpk8dhxb6+TJk3jmmWfw9ttvIywszPH8lZrCw8ORmJjYId3irREYGIiAgAAAQFxcHKxWK4qLixV3\nHIGGL0zNfR49cRzr6+uxYMECpKSkuLTirtTiqc+kpgIqNjYWWVlZyMnJgcViQWpqKuLj40X7xMfH\nO2afbNq0CaNGjYJOp0N8fDxSU1NhsViQk5ODrKws3HTTTbLUePz4cSxZsgTvvPMOwsPDHc+XlZXB\nYrEAAIqLi3Ho0CH069dPlhoLCwsdP2/duhV9+/YFAIwdOxa7du1CWVkZysrKsGvXLowdO1aWGgHg\nzJkzKC8vx9ChQx3Peeo4tkZ8fDy++OILCIKAI0eOICgoCBERER47jq2Rn5+Pxx9/HK+++ip69+7t\neL66uhqVlZWOn3fv3o2YmBhZarx48SKEy+tiZ2RkwG63IywsrNWfE0+pqKjA/v37kZCQ4HjOk8dR\nEAQ8/fTT6NOnD371q181uY8nP5Oa6uIzGAxYsmQJ5s2bB5vNhpkzZyImJgbLli3D4MGDkZCQgFmz\nZuGPf/wjEhMTERISgjfeeAMAEBMTg0mTJmHy5MnQ6/VYsmSJqEvIkzW++uqrqK6uxsKFCwEAXbt2\nxbvvvoszZ87gueeeg06ngyAIePDBBzvkxNqaGlevXo2tW7dCr9cjJCQES5cuBQCEhobikUcewaxZ\nswAAjz76qKgrw5M1Ag2tp8mTJ0On0zl+11PHEQB+//vfY9++fSgpKcH48ePx+OOPw2q1AgDuu+8+\nxMXFYceOHUhMTISfnx9efvllAJ47jq2p8a233kJpaSmef/55AIBer8f69etRVFSERx99FABgs9kw\nZcoUl/EpT9W4adMmfPzxx9Dr9fD19cXrr78OnU7X7OdEjhoB4Ntvv8WYMWPg7+/v+D1PHseDBw/i\nyy+/RP/+/TF16lRH3fn5+Y46PfmZ5O02iIhIkTTVxUdEROrBgCIiIkViQBERkSIxoIiISJEYUERE\npEgMKCIiUiQGFJFC5ebm4oYbbsDixYvlLoVIFgwoIiJSJAYUEREpEleSIFKgf/7zn6K7vjpbunRp\nh95VlUgpNLUWH5FajBw5Evfffz9WrVqFAQMG4I477nBsGzhwoIyVEXkOW1BECpWbm4uEhARMnz4d\nr7zyitzlEHkcx6CIiEiRGFBERKRIDCgiIlIkBhQRESkSA4pIoa7csdlms8lcCZE8GFBEChUcHAyd\nTocLFy7IXQqRLDjNnBou95AAAAB7SURBVEjB7rnnHhw9ehTJycno3bs3vLy8EB8fjwEDBshdGlGH\nY0ARKVh2djaWLl2Kw4cPo6ysDIIgcCUJ0gwGFBERKRLHoIiISJEYUEREpEgMKCIiUiQGFBERKRID\nioiIFIkBRUREisSAIiIiRWJAERGRIjGgiIhIkf4fh4f9aic2rhUAAAAASUVORK5CYII=\n",
             "text/plain": [
               "<Figure size 432x432 with 1 Axes>"
             ]
@@ -575,4 +575,4 @@
       "outputs": []
     }
   ]
-}
+}
\ No newline at end of file
-- 
GitLab